{"as_of":"2026-08-17T19:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:21fdc8c44b28d1b60f3374a75f12bb397aa880240ce8d8d35cd86f985989c05c","coverage":[{"denominator":98,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":98,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T19:57:38.092653Z","state":"measured"},{"denominator":121,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":121,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":23,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":23,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T12:43:35.972155Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T19:50:11.438511Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-08-05T12:43:35.972155Z","title":"Align your flow: Scaling continuous-time flow map distillation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.01492","last_updated":"2025-09-01T14:11:59Z","snapshot_observed_at":"2026-08-16T00:55:32.963511Z","submitted_at":"2025-09-01T14:11:59Z","title":"A Continuous-Time Consistency Model for 3D Point Cloud Generation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T12:43:35.972155Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2509.01492"},"observation_digest":"sha256:7417b895c3f3f3f5bb095785433876dbd80f9dd223fe983d2ca840905da14a9f","observation_id":"95c2a88e-b316-4128-8ee4-a1aced0bb1ee","resolution":{"observed_at":"2026-08-05T12:43:35.972155Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-08-05T10:19:54.439133Z","title":"Align your flow: Scaling continuous-time flow map distillation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.04394","last_updated":"2025-09-04T17:05:59Z","snapshot_observed_at":"2026-08-16T13:24:04.947329Z","submitted_at":"2025-09-04T17:05:59Z","title":"Transition Models: Rethinking the Generative Learning Objective","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-05T10:19:54.439133Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2509.04394"},"observation_digest":"sha256:d8ce5b42d9ef95101fd5f2e8098eec332ed88f23cf48fea942b2bc07e4137ee7","observation_id":"3aa07e3f-275e-4c03-a65f-b9a2ce429c51","resolution":{"observed_at":"2026-08-05T10:19:54.439133Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":"2506.14603","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-07-04T19:50:11.438511Z","title":"Align your flow: Scaling continuous- time flow map distillation","venue":null,"work_id":"d608f2d9-214b-40f9-a6a5-c480d26ebdb1","year":2025},"citing_paper":{"arxiv_id":"2510.08431","last_updated":"2026-05-06T15:49:52Z","snapshot_observed_at":"2026-08-13T13:52:10.663166Z","submitted_at":"2025-10-09T16:45:30Z","title":"Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-18T08:46:16.541104Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2510.08431"},"observation_digest":"sha256:7edcbfe68e8ad31f1f04f5a4d3df92bc451bb1ae27cb6ffaaa39c705cc568fd7","observation_id":"2570af8f-8360-4a75-8e79-0743adbf9ada","resolution":{"observed_at":"2026-05-18T08:51:09.138575Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":"2506.14603","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-07-04T19:50:11.438511Z","title":"Align your flow: Scaling continuous- time flow map distillation","venue":null,"work_id":"d608f2d9-214b-40f9-a6a5-c480d26ebdb1","year":2025},"citing_paper":{"arxiv_id":"2510.20512","last_updated":"2026-08-10T11:31:48Z","snapshot_observed_at":"2026-08-13T23:37:01.358447Z","submitted_at":"2025-10-23T12:56:33Z","title":"Adversarial Concept Distillation for One-Step Diffusion Personalization","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-18T04:50:01.364000Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2510.20512"},"observation_digest":"sha256:7bc1e2da2e6bbdc78c00a1354e8798d2e905223f5f14d6bd9a545e8c81790a37","observation_id":"8edf59c1-4869-4a47-8e58-2165d8a094c8","resolution":{"observed_at":"2026-05-18T04:50:53.703420Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-08-03T10:35:06.571559Z","title":"Align your flow: Scaling continuous-time flow map distillation.arXiv preprint arXiv:2506.14603, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.09881","last_updated":"2026-07-09T22:49:12Z","snapshot_observed_at":"2026-08-09T17:44:11.904091Z","submitted_at":"2026-01-14T21:30:03Z","title":"Transition Matching Distillation for Fast Video Generation","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-03T10:35:06.571559Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2601.09881"},"observation_digest":"sha256:5ee28bead517f6bfb142ac65509535c84a0216be1958a0decb6b52b0adac2f63","observation_id":"bdb9e91c-e6d5-486f-8cdf-261f90a5daa8","resolution":{"observed_at":"2026-08-03T10:35:06.571559Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":"2506.14603","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-07-04T19:50:11.438511Z","title":"Align your flow: Scaling continuous- time flow map distillation","venue":null,"work_id":"d608f2d9-214b-40f9-a6a5-c480d26ebdb1","year":2025},"citing_paper":{"arxiv_id":"2602.10764","last_updated":"2026-06-28T05:06:30Z","snapshot_observed_at":"2026-08-17T06:32:52.198777Z","submitted_at":"2026-02-11T11:51:01Z","title":"Dual-End Consistency Model","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-16T05:40:36.406150Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2602.10764"},"observation_digest":"sha256:4710d0f802550c22c9074f4cc68de4d09be2813cea17d8392dbe111c878a088e","observation_id":"2702ebb6-ddec-4633-8bf9-faf97b78db7c","resolution":{"observed_at":"2026-05-16T05:40:39.813627Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-08-03T01:04:21.395296Z","title":"arXiv preprint arXiv:2506.14603 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.10764","last_updated":"2026-06-28T05:06:30Z","snapshot_observed_at":"2026-08-17T06:32:52.198777Z","submitted_at":"2026-02-11T11:51:01Z","title":"Dual-End Consistency Model","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-03T01:04:21.395296Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2602.10764"},"observation_digest":"sha256:719cc959c08268d79243e1f6d90b480d9bb8ade69dba07d60962002c190b0837","observation_id":"97fac284-0e76-4ec9-9076-b18099afd7fa","resolution":{"observed_at":"2026-08-03T01:04:21.395296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":"2506.14603","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-07-04T19:50:11.438511Z","title":"Align your flow: Scaling continuous- time flow map distillation","venue":null,"work_id":"d608f2d9-214b-40f9-a6a5-c480d26ebdb1","year":2025},"citing_paper":{"arxiv_id":"2602.16813","last_updated":"2026-05-20T16:23:05Z","snapshot_observed_at":"2026-08-11T06:21:47.511868Z","submitted_at":"2026-02-18T19:23:07Z","title":"Flow Map Language Models: One-step Language Modeling via Continuous Denoising","version":2},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-05-15T21:01:42.916835Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2602.16813"},"observation_digest":"sha256:91a662c3958a8accdda15ea4108c8df222dc3890bb1ea3167b587058ac9fa515","observation_id":"a92581c8-2218-4bd2-a917-fefabc5e8bce","resolution":{"observed_at":"2026-05-15T21:10:19.188482Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":"2506.14603","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-07-04T19:50:11.438511Z","title":"Align your flow: Scaling continuous- time flow map distillation","venue":null,"work_id":"d608f2d9-214b-40f9-a6a5-c480d26ebdb1","year":2025},"citing_paper":{"arxiv_id":"2602.16813","last_updated":"2026-05-20T16:23:05Z","snapshot_observed_at":"2026-08-11T06:21:47.511868Z","submitted_at":"2026-02-18T19:23:07Z","title":"Flow Map Language Models: One-step Language Modeling via Continuous Denoising","version":3},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-05-21T12:23:49.031978Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2602.16813"},"observation_digest":"sha256:df7fdd2c6ac20e68e4f17bafecfb81a52a1f3e6eb4a886aaa794d7f176707acf","observation_id":"5b4daffd-902a-4b12-979e-11914baa9785","resolution":{"observed_at":"2026-05-21T12:24:10.519436Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":"2506.14603","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-07-04T19:50:11.438511Z","title":"Align your flow: Scaling continuous- time flow map distillation","venue":null,"work_id":"d608f2d9-214b-40f9-a6a5-c480d26ebdb1","year":2025},"citing_paper":{"arxiv_id":"2604.18168","last_updated":"2026-04-20T12:28:58Z","snapshot_observed_at":"2026-08-13T04:52:25.391449Z","submitted_at":"2026-04-20T12:28:58Z","title":"Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T05:15:22.907880Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2604.18168"},"observation_digest":"sha256:ec6941df496e06eba140a24a04a251be351894b61a0bc5badcfbe45ed1ebe270","observation_id":"9f57c5a8-4651-4b9d-951c-ce1580a72fed","resolution":{"observed_at":"2026-05-10T09:33:41.601618Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":"2506.14603","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-07-04T19:50:11.438511Z","title":"Align your flow: Scaling continuous- time flow map distillation","venue":null,"work_id":"d608f2d9-214b-40f9-a6a5-c480d26ebdb1","year":2025},"citing_paper":{"arxiv_id":"2604.27147","last_updated":"2026-06-02T08:50:59Z","snapshot_observed_at":"2026-08-02T17:45:20.844823Z","submitted_at":"2026-04-29T19:56:53Z","title":"How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-07T09:24:42.020782Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2604.27147"},"observation_digest":"sha256:588c40426d6ecd8111685c54116c0aacbf13a7362914bc3abf82bc23423229e6","observation_id":"45c4bfc4-eee8-4e12-be01-2c1999dc5c51","resolution":{"observed_at":"2026-05-12T09:46:26.681855Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":"2506.14603","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-07-04T19:50:11.438511Z","title":"Align your flow: Scaling continuous- time flow map distillation","venue":null,"work_id":"d608f2d9-214b-40f9-a6a5-c480d26ebdb1","year":2025},"citing_paper":{"arxiv_id":"2604.27147","last_updated":"2026-06-02T08:50:59Z","snapshot_observed_at":"2026-08-02T17:45:20.844823Z","submitted_at":"2026-04-29T19:56:53Z","title":"How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-21T09:25:19.439423Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2604.27147"},"observation_digest":"sha256:778a45c2448b62398049f5f87daef340b10a7f08baa192641226934942e899fb","observation_id":"4baad3db-3e80-4b2f-9a7b-0cd915eb3ae5","resolution":{"observed_at":"2026-05-21T09:29:57.162046Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":"2506.14603","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-07-04T19:50:11.438511Z","title":"Align your flow: Scaling continuous- time flow map distillation","venue":null,"work_id":"d608f2d9-214b-40f9-a6a5-c480d26ebdb1","year":2025},"citing_paper":{"arxiv_id":"2604.27147","last_updated":"2026-06-02T08:50:59Z","snapshot_observed_at":"2026-08-02T17:45:20.844823Z","submitted_at":"2026-04-29T19:56:53Z","title":"How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-07-01T08:19:37.044714Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2604.27147"},"observation_digest":"sha256:c0a1f3d76d16d05a378d675b393af58578745becd5ca37ff0d2f894a362f0d64","observation_id":"9ff729f8-ab14-49b1-b6e5-40c3ad56202c","resolution":{"observed_at":"2026-07-01T08:25:33.250729Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":"2506.14603","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-07-04T19:50:11.438511Z","title":"Align your flow: Scaling continuous- time flow map distillation","venue":null,"work_id":"d608f2d9-214b-40f9-a6a5-c480d26ebdb1","year":2025},"citing_paper":{"arxiv_id":"2605.13724","last_updated":"2026-05-13T16:06:34Z","snapshot_observed_at":"2026-08-16T17:24:21.128538Z","submitted_at":"2026-05-13T16:06:34Z","title":"AnyFlow: Any-Step Video Diffusion Model with On-Policy Flow Map Distillation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-14T20:04:53.500686Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2605.13724"},"observation_digest":"sha256:c7ed5f2c3d7198401d858283f543232d9482fc5d81d62dd78697ea4265eb13dd","observation_id":"2a8acb91-85e4-4a75-8e18-b139c33bc5ae","resolution":{"observed_at":"2026-05-14T20:07:53.969192Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":"2506.14603","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-07-04T19:50:11.438511Z","title":"Align your flow: Scaling continuous- time flow map distillation","venue":null,"work_id":"d608f2d9-214b-40f9-a6a5-c480d26ebdb1","year":2025},"citing_paper":{"arxiv_id":"2605.17244","last_updated":"2026-05-17T03:58:01Z","snapshot_observed_at":"2026-08-15T05:13:30.162927Z","submitted_at":"2026-05-17T03:58:01Z","title":"Drift Flow Matching","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-20T14:31:05.979325Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2605.17244"},"observation_digest":"sha256:2b89f4163ca54a13f7b346ea40ae00232bedd479d17702fe5c56bef0549a5562","observation_id":"d41b7659-2cbb-453b-a756-2c435ad5b8eb","resolution":{"observed_at":"2026-05-20T14:33:21.418290Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":"2506.14603","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-07-04T19:50:11.438511Z","title":"Align your flow: Scaling continuous- time flow map distillation","venue":null,"work_id":"d608f2d9-214b-40f9-a6a5-c480d26ebdb1","year":2025},"citing_paper":{"arxiv_id":"2605.21489","last_updated":"2026-05-21T21:50:17Z","snapshot_observed_at":"2026-08-15T14:13:58.147292Z","submitted_at":"2026-05-20T17:59:52Z","title":"Variance Reduction for Expectations with Diffusion Teachers","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-21T04:51:57.800006Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2605.21489"},"observation_digest":"sha256:5cd78a5878eee8aea28524d92b165e0a3454b9c830c6ba36dca64acbd7cf3f38","observation_id":"98d4b329-a96b-479c-9840-612622dd864b","resolution":{"observed_at":"2026-05-21T04:53:57.884252Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":"2506.14603","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-07-04T19:50:11.438511Z","title":"Align your flow: Scaling continuous- time flow map distillation","venue":null,"work_id":"d608f2d9-214b-40f9-a6a5-c480d26ebdb1","year":2025},"citing_paper":{"arxiv_id":"2605.21489","last_updated":"2026-05-21T21:50:17Z","snapshot_observed_at":"2026-08-15T14:13:58.147292Z","submitted_at":"2026-05-20T17:59:52Z","title":"Variance Reduction for Expectations with Diffusion Teachers","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-25T05:41:10.076206Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2605.21489"},"observation_digest":"sha256:38ef33bc8ba4ce61c075128ef44e898dd5cd93adf2caa4b0ece963dc8d75a041","observation_id":"8ede8f86-cd89-4264-8618-ff2e17a129bb","resolution":{"observed_at":"2026-05-25T05:45:24.735986Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":"2506.14603","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-07-04T19:50:11.438511Z","title":"Align your flow: Scaling continuous- time flow map distillation","venue":null,"work_id":"d608f2d9-214b-40f9-a6a5-c480d26ebdb1","year":2025},"citing_paper":{"arxiv_id":"2606.01098","last_updated":"2026-05-31T08:39:57Z","snapshot_observed_at":"2026-08-15T21:39:06.728339Z","submitted_at":"2026-05-31T08:39:57Z","title":"Implicit Drifting Policy: One-Step Action Generation via Conditional Expert Geometry","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-28T17:18:44.922963Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2606.01098"},"observation_digest":"sha256:e01078c39f16d9993c21e5823c6d283b7de6a0fc4b858c54a326b1950ab217c6","observation_id":"9133830c-3e29-45be-9afa-2d49cb988342","resolution":{"observed_at":"2026-06-28T17:22:24.794196Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":"2506.14603","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-07-04T19:50:11.438511Z","title":"Align your flow: Scaling continuous- time flow map distillation","venue":null,"work_id":"d608f2d9-214b-40f9-a6a5-c480d26ebdb1","year":2025},"citing_paper":{"arxiv_id":"2606.18478","last_updated":"2026-06-23T08:04:55Z","snapshot_observed_at":"2026-08-12T14:25:41.973183Z","submitted_at":"2026-06-16T20:38:30Z","title":"Data-Forcing Distillation: Restoring Diversity and Fidelity in Few-Step Video Generation","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-27T00:55:20.691480Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2606.18478"},"observation_digest":"sha256:174e8deb6cd5257c259a20275727014c87c18df94b057d7cbe390c389d500236","observation_id":"8224382c-90bb-4aa4-8445-4b973bb16686","resolution":{"observed_at":"2026-07-03T21:08:58.069657Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":"2506.14603","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-07-04T19:50:11.438511Z","title":"Align your flow: Scaling continuous- time flow map distillation","venue":null,"work_id":"d608f2d9-214b-40f9-a6a5-c480d26ebdb1","year":2025},"citing_paper":{"arxiv_id":"2606.25473","last_updated":"2026-06-24T06:58:02Z","snapshot_observed_at":"2026-08-05T22:45:50.916812Z","submitted_at":"2026-06-24T06:58:02Z","title":"Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-06-25T20:57:30.765802Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2606.25473"},"observation_digest":"sha256:2c594ee2ac83a1dc9d4bd2e9d31818d0b94edf4868b5979559838fa9c5168849","observation_id":"e06b024c-956f-465b-a979-ab8fdcc22501","resolution":{"observed_at":"2026-07-04T19:50:11.440115Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-07-12T01:53:57.900599Z","title":"Align your flow: Scaling continuous-time flow map distillation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03524","last_updated":"2026-07-03T17:55:01Z","snapshot_observed_at":"2026-08-16T16:23:11.678600Z","submitted_at":"2026-07-03T17:55:01Z","title":"Perceptual Flow Matching for Few-Step Generative Modeling","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-12T01:53:57.900599Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2607.03524"},"observation_digest":"sha256:69f3f21393378fda6b8b181d9cb345a9674511683c946670eea40afcf03a16fc","observation_id":"58db98d1-06a6-4348-9721-010e10052f0c","resolution":{"observed_at":"2026-07-12T01:53:57.900599Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-08-01T00:57:41.491832Z","title":"Align your flow: Scaling continuous-time flow map distillation, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26004","last_updated":"2026-07-28T17:20:00Z","snapshot_observed_at":"2026-08-15T09:12:25.318761Z","submitted_at":"2026-07-28T17:20:00Z","title":"Parallel Decoding Distillation for Fast Image and Video Generation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-01T00:57:41.491832Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2607.26004"},"observation_digest":"sha256:0525881a719a7e0240997dd7a9959a97aa54e63bc24a47859e7f3ae0c6ca98ac","observation_id":"30ecfd31-03c2-49b8-8d93-fb9c68b996bd","resolution":{"observed_at":"2026-08-01T00:57:41.491832Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.14603","snapshot_observed_at":"2026-08-01T16:53:44.425332Z","title":"arXiv preprint arXiv:2506.14603 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26398","last_updated":"2026-07-29T02:17:27Z","snapshot_observed_at":"2026-08-15T23:34:41.488652Z","submitted_at":"2026-07-29T02:17:27Z","title":"Flow Map Learning via Nongradient Vector Flow","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-01T16:53:44.425332Z"},"links":{"cited_paper":"/paper/2506.14603","citing_paper":"/paper/2607.26398"},"observation_digest":"sha256:aaed6ea88c5e02770fc3ab093c99f7bedb0e101f6b5f7bdadb8fa76611a6b57d","observation_id":"652f0a0d-d804-417a-9dd8-663e8b916232","resolution":{"observed_at":"2026-08-01T16:53:44.425332Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.14603/citation-record","integrity":"/paper/2506.14603/integrity","json":"/paper/2506.14603/citation-record.json","paper":"/paper/2506.14603"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08797","last_updated":"2025-10-09T00:43:44Z","snapshot_observed_at":"2026-07-06T15:03:52.079498Z","submitted_at":"2023-03-15T17:43:42Z","title":"Stochastic Interpolants: A Unifying Framework for Flows and Diffusions","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08797","snapshot_observed_at":"2026-08-15T19:57:37.734544Z","title":"Albergo, Nicholas M","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.734544Z"},"links":{"cited_paper":"/paper/2303.08797","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:cfee63e0a033fb544258dfbf2960a6e6854ec6a8f2dac69b9d23411c4c153ede","observation_id":"3256542d-0dda-4812-8733-e33e19bd2313","resolution":{"observed_at":"2026-08-15T19:57:37.734544Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.739068Z","title":"Building normalizing flows with stochastic interpolants","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.739068Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:956d74b7fb419ec17d1478366e30ab9df16d2a92a0be6aaea72765660ccbf40a","observation_id":"b35a247f-4e6f-4a7a-8ea5-75776f4cb28f","resolution":{"observed_at":"2026-08-15T19:57:37.739068Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.742798Z","title":"All are worth words: A vit backbone for diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.742798Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:2c44cd4da6e000a8f45c59a521834e7210ba4b6d40fae09b27872d2adb72ab00","observation_id":"67c3eceb-dc93-452c-8209-8406f1d4796e","resolution":{"observed_at":"2026-08-15T19:57:37.742798Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.04248","last_updated":"2023-03-07T21:46:15Z","snapshot_observed_at":"2026-08-16T15:49:59.625995Z","submitted_at":"2023-03-07T21:46:15Z","title":"TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.04248","snapshot_observed_at":"2026-08-15T19:57:37.746625Z","title":"Tract: Denoising diffusion models with transitive closure time-distillation.arXiv preprint arXiv:2303.04248, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.746625Z"},"links":{"cited_paper":"/paper/2303.04248","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:eea79c5ac00777f33b2ba18309f07c35c79b6539a093d75ebde70a46c1f50a4b","observation_id":"67ce0ac1-e952-40b7-b7e1-92d3788d98a8","resolution":{"observed_at":"2026-08-15T19:57:37.746625Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07507","last_updated":"2025-06-03T00:03:07Z","snapshot_observed_at":"2026-08-16T13:44:04.135251Z","submitted_at":"2024-06-11T17:41:26Z","title":"Flow map matching with stochastic interpolants: A mathematical framework for consistency models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07507","snapshot_observed_at":"2026-08-15T19:57:37.750650Z","title":"Flow map matching.arXiv preprint arXiv:2406.07507, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.750650Z"},"links":{"cited_paper":"/paper/2406.07507","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:e07661ef018b7020f1849fb87fede5e960e925022ae7429875211c4bb5bc83e3","observation_id":"5331e8cb-b927-4b64-b9e4-0d154952439f","resolution":{"observed_at":"2026-08-15T19:57:37.750650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.754638Z","title":"How to build a consistency model: Learning flow maps via self-distillation.arXiv preprint arXiv:2505.18825, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.754638Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:1159b84c0dc7959a3510447a2bc7e92f0465b0a6fc7eef64967ed2279cdcc9ae","observation_id":"33f63edc-4fc1-4f7b-8af0-6de0de94159e","resolution":{"observed_at":"2026-08-15T19:57:37.754638Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.758565Z","title":"Large scale gan training for high fidelity natural image synthesis, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.758565Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:ebf6f75d206de5d749389046be41664d03a7fb03b5e45dbcfc683a589b4271ce","observation_id":"26075108-59e4-48bf-9e2e-11576a7ac63c","resolution":{"observed_at":"2026-08-15T19:57:37.758565Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.762143Z","title":"Video generation models as world simulators","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.762143Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:ca5247b5071115b856fa7310bc55b4e0e20c64b987c0edd5a8071fb325e5141e","observation_id":"e8b1b448-afab-48e2-bf3e-c88b93add7c9","resolution":{"observed_at":"2026-08-15T19:57:37.762143Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.766381Z","title":"Maskgit: Masked generative image transformer","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.766381Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:d8b45c611ae85dc8d741cbd41ed6493a6df5cd79f28d52ef0fe516fa988828b5","observation_id":"2048eb78-db02-4e22-95aa-9fdf86a330ec","resolution":{"observed_at":"2026-08-15T19:57:37.766381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.770113Z","title":"Imagenet: A large- scale hierarchical image database","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.770113Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:ed6c9b1ffca61a33ba051c1a61fe23d28e23c758f0e7dd79485101a519b1061e","observation_id":"def13aa8-b058-405b-a466-159358d9d3a3","resolution":{"observed_at":"2026-08-15T19:57:37.770113Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.774236Z","title":"Diffusion Models Beat GANs on Image Synthesis","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.774236Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:60c5f544e1c693f7567524adf45c504cca78fa6942d210df9f2989fc76f7116f","observation_id":"3b3a7315-c635-44fa-bbfe-c11eeea1d0e8","resolution":{"observed_at":"2026-08-15T19:57:37.774236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.777792Z","title":"GENIE: Higher-Order Denoising Diffusion Solvers","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.777792Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:a981fe20d6c4988806ef8a428fd2c5ef5c981d886887c20569c96efd00409fa3","observation_id":"a6b60f17-ec4d-4bd2-947e-4eb9fcc662e8","resolution":{"observed_at":"2026-08-15T19:57:37.777792Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.781148Z","title":"Taming transformers for high-resolution image synthesis","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.781148Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:299c0ecc72144e58e720d4b4f7db71e03889e94b9e3e4a6d22b4626943612824","observation_id":"962782d0-d531-4e1a-8a8f-cf6ee76a5096","resolution":{"observed_at":"2026-08-15T19:57:37.781148Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.784436Z","title":"Scaling rectified flow transformers for high-resolution image synthesis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.784436Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:8a5a7e4014eecf17633d7a10865367f8dd785cac8b1f9ee57b71dba5a4c56d4d","observation_id":"4ece857d-cac7-4d69-900d-e36c9224a3d2","resolution":{"observed_at":"2026-08-15T19:57:37.784436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05608","last_updated":"2024-03-28T08:28:44Z","snapshot_observed_at":"2026-08-16T14:20:16.327929Z","submitted_at":"2024-02-08T12:08:42Z","title":"Scalable Diffusion Models with State Space Backbone","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05608","snapshot_observed_at":"2026-08-15T19:57:37.787847Z","title":"Scalable diffusion models with state space backbone.arXiv preprint arXiv:2402.05608, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.787847Z"},"links":{"cited_paper":"/paper/2402.05608","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:a8c03bdc7ce05022109f53a0a70ba76b277834eb0107de74a9d7503600838fc4","observation_id":"1cd81f6b-4203-4f73-84e0-b765937bce44","resolution":{"observed_at":"2026-08-15T19:57:37.787847Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.04478","last_updated":"2024-04-06T02:54:35Z","snapshot_observed_at":"2026-08-16T14:03:12.578100Z","submitted_at":"2024-04-06T02:54:35Z","title":"Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.04478","snapshot_observed_at":"2026-08-15T19:57:37.791381Z","title":"Diffusion-rwkv: Scaling rwkv-like architectures for diffusion models.arXiv preprint arXiv:2404.04478, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.791381Z"},"links":{"cited_paper":"/paper/2404.04478","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:869f9840ddc3d821969e7fed2f15c72ccd141e3bb7757f0497612e8c20c164ca","observation_id":"e54b78ce-4104-4110-afcc-44e012ce4aff","resolution":{"observed_at":"2026-08-15T19:57:37.791381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12557","last_updated":"2025-06-23T14:26:35Z","snapshot_observed_at":"2026-08-17T08:09:05.115467Z","submitted_at":"2024-10-16T13:34:40Z","title":"One Step Diffusion via Shortcut Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12557","snapshot_observed_at":"2026-08-15T19:57:37.795336Z","title":"One step diffusion via shortcut models.ArXiv, abs/2410.12557, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.795336Z"},"links":{"cited_paper":"/paper/2410.12557","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:54e115c1aafdf344c81eab5d5977fe28a3e09c7abef401964ce80bf79bcb492f","observation_id":"31ac0ef1-7d0a-4306-a770-7ed57e732217","resolution":{"observed_at":"2026-08-15T19:57:37.795336Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.14548","last_updated":"2024-10-10T21:59:49Z","snapshot_observed_at":"2026-08-16T13:41:00.175964Z","submitted_at":"2024-06-20T17:56:02Z","title":"Consistency Models Made Easy","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.14548","snapshot_observed_at":"2026-08-15T19:57:37.799611Z","title":"Consistency models made easy.arXiv preprint arXiv:2406.14548, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.799611Z"},"links":{"cited_paper":"/paper/2406.14548","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:e890424569d809a4e7013f3767ee26588a05e836357772eb90c860a460773f9c","observation_id":"e3851112-0a78-4dad-bd92-e3773e1cc12c","resolution":{"observed_at":"2026-08-15T19:57:37.799611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13447","last_updated":"2025-05-19T17:59:42Z","snapshot_observed_at":"2026-08-17T11:34:19.285953Z","submitted_at":"2025-05-19T17:59:42Z","title":"Mean Flows for One-step Generative Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.13447","snapshot_observed_at":"2026-08-15T19:57:37.803274Z","title":"Mean flows for one-step generative modeling.arXiv preprint arXiv:2505.13447, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.803274Z"},"links":{"cited_paper":"/paper/2505.13447","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:f105ceaa83b3534dbf6c34ec67226160504c6ad25279bb7e9e8d5aabcc4b0c19","observation_id":"a72773d6-946a-4a40-9b85-93c68e538299","resolution":{"observed_at":"2026-08-15T19:57:37.803274Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.807416Z","title":"Boot: Data-free distillation of denoising diffusion models with bootstrapping","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.807416Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:bd8ad93ec6f88c6bcfad14f37cee58314b38158e5877118ed2df11209d2446f6","observation_id":"2eebe717-b159-4392-8cc0-77c86fd881f4","resolution":{"observed_at":"2026-08-15T19:57:37.807416Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.810754Z","title":"Diffit: Diffusion vision transformers for image generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.810754Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:ce12cf47c20a9ab9a9034dd7b5f35e83cd7ff3e2f161ae66caa310d427bc2b82","observation_id":"80f99031-e437-46a9-9fe9-44701d0b19df","resolution":{"observed_at":"2026-08-15T19:57:37.810754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.06807","last_updated":"2024-11-19T14:31:02Z","snapshot_observed_at":"2026-08-16T14:10:56.813767Z","submitted_at":"2024-03-11T15:26:34Z","title":"Multistep Consistency Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.06807","snapshot_observed_at":"2026-08-15T19:57:37.814161Z","title":"Multistep consistency models.arXiv preprint arXiv:2403.06807, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.814161Z"},"links":{"cited_paper":"/paper/2403.06807","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:2926e456fb1e2d784758b90a7b11a4a9967dfaad859488946e2b3132e6b23a06","observation_id":"13650236-765c-48f2-8c06-a301b00e180c","resolution":{"observed_at":"2026-08-15T19:57:37.814161Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.817780Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.817780Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:a5308f5cbac85fd0da8d3497b41435f944c746d016a77f710e88307f5c990853","observation_id":"95c7c170-072a-46f2-ba2f-24a6904c80c1","resolution":{"observed_at":"2026-08-15T19:57:37.817780Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.12598","last_updated":"2022-07-26T01:42:07Z","snapshot_observed_at":"2026-08-14T06:37:15.299690Z","submitted_at":"2022-07-26T01:42:07Z","title":"Classifier-Free Diffusion Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.12598","snapshot_observed_at":"2026-08-15T19:57:37.820841Z","title":"Classifier-free diffusion guidance.arXiv preprint arXiv:2207.12598, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.820841Z"},"links":{"cited_paper":"/paper/2207.12598","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:9f7aa8518b08ec99688d237394f3e8b7e90047e85d7f51c630f133757cdc3ddc","observation_id":"09d4e3f3-5cbe-4d8b-98e9-a3b98264b5d4","resolution":{"observed_at":"2026-08-15T19:57:37.820841Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.824045Z","title":"Denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.824045Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:91c381b72ec83a210160fb42f5597d4421446715d7d32e038d528409c2c2523c","observation_id":"404c4d1d-30f3-4ede-8647-a45d18dbf6ea","resolution":{"observed_at":"2026-08-15T19:57:37.824045Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.827402Z","title":"simple diffusion: End-to-end diffusion for high resolution images","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.827402Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:feb19a8ede128c541cdbd8ded7f732ffad3dff17ea255986ee5e5bafee919f01","observation_id":"15cf977e-41da-48a6-a961-b64818735e8a","resolution":{"observed_at":"2026-08-15T19:57:37.827402Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.830779Z","title":"Edward Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, and Weizhu Chen","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.830779Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:af0c5d0328c58d722465f8c9a978f943cd55942ff87a13c1afa473cfbb8cc289","observation_id":"6fab96b1-a130-40ba-a4b1-bb72f37d11b7","resolution":{"observed_at":"2026-08-15T19:57:37.830779Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.834099Z","title":"The gan is dead; long live the gan! a modern gan baseline.Advances in Neural Information Processing Systems, 37:44177–44215, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.834099Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:e3dc12e9ecffc6539464b4bb42e816be80b286b125837e0084847c3c22416d80","observation_id":"ebaf697f-98c6-4c84-97e6-2659ea367a57","resolution":{"observed_at":"2026-08-15T19:57:37.834099Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.837556Z","title":"Jabri, David J","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.837556Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:88eee7f375c14b789cef86eb91f72c7459160c25a9e4d890760ef9a02562fa1d","observation_id":"ef2c29d7-29b6-4a7e-8fcc-39387807331c","resolution":{"observed_at":"2026-08-15T19:57:37.837556Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.840877Z","title":"Text-to-image-2m, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.840877Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:04edbd961f75a3d40f09944e9c740111ff072208169f9ec4c636be9d8120ca66","observation_id":"5cc70218-b29c-4692-ba07-2ac68cf97388","resolution":{"observed_at":"2026-08-15T19:57:37.840877Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1807.00734","last_updated":"2018-09-10T17:11:59Z","snapshot_observed_at":"2026-08-14T18:56:38.104749Z","submitted_at":"2018-07-02T15:11:23Z","title":"The relativistic discriminator: a key element missing from standard GAN","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.00734","snapshot_observed_at":"2026-08-15T19:57:37.844200Z","title":"The relativistic discriminator: a key element missing from standard gan.arXiv preprint arXiv:1807.00734, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.844200Z"},"links":{"cited_paper":"/paper/1807.00734","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:5a72cac702fa4a83fe0c631a2249a703f752a542ad218a2aa284581dc45b84e5","observation_id":"28586b75-353c-411c-b84b-8ec0fba87544","resolution":{"observed_at":"2026-08-15T19:57:37.844200Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.14080","last_updated":"2021-05-28T19:48:51Z","snapshot_observed_at":"2026-08-16T18:21:21.695093Z","submitted_at":"2021-05-28T19:48:51Z","title":"Gotta Go Fast When Generating Data with Score-Based Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.14080","snapshot_observed_at":"2026-08-15T19:57:37.847914Z","title":"Gotta go fast when generating data with score-based models.arXiv preprint arXiv:2105.14080, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.847914Z"},"links":{"cited_paper":"/paper/2105.14080","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:b7dafb7378ff67d66b05cfd7edd7a3839e768e9d80876dfa4878b2788ce525af","observation_id":"fe27f9d1-9a75-4416-98b0-02b0fd62a850","resolution":{"observed_at":"2026-08-15T19:57:37.847914Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.851892Z","title":"Analyzing and improving the image quality of stylegan","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.851892Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:c68c9a48c1980cef78367e5f771c438466c36eb0e0c4c848dc05f102bf7e9298","observation_id":"ddac50c0-d069-486a-ba41-55dca2691011","resolution":{"observed_at":"2026-08-15T19:57:37.851892Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:38.998539Z","title":"Elucidating the design space of diffusion-based generative models.Advances in neural information processing systems, 35: 26565–26577, 2022","venue":null,"work_id":"99bcba8b-89e8-49e9-b8f1-7b29dd3473b1","year":2022},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.855127Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:0f0657bbe26580ffb182f787e1151af74637e826d35a4a40a8a52805f6701cd0","observation_id":"39090596-f9b2-44d4-9f6a-83d69b6fddfc","resolution":{"observed_at":"2026-08-15T19:57:39.002864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02507","last_updated":"2024-12-19T10:43:11Z","snapshot_observed_at":"2026-08-16T13:46:11.340525Z","submitted_at":"2024-06-04T17:25:59Z","title":"Guiding a Diffusion Model with a Bad Version of Itself","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02507","snapshot_observed_at":"2026-08-15T19:57:37.858610Z","title":"Guiding a diffusion model with a bad version of itself.arXiv preprint arXiv:2406.02507, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.858610Z"},"links":{"cited_paper":"/paper/2406.02507","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:0840990aae6dd76a7d655741db7770e5e4aa6586a7972331691107981026acc7","observation_id":"404ee170-c228-4148-9ae3-119329fef135","resolution":{"observed_at":"2026-08-15T19:57:37.858610Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.862230Z","title":"Analyzing and improving the training dynamics of diffusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.862230Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:4b9f1db5fb33361949727f6a8588b9590b6ffebc57d687da0b8d8425bcc6c432","observation_id":"de9148ec-b767-4020-a4c5-184eeb158fee","resolution":{"observed_at":"2026-08-15T19:57:37.862230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12510","last_updated":"2025-07-21T12:53:26Z","snapshot_observed_at":"2026-08-17T17:11:34.896489Z","submitted_at":"2024-03-19T07:24:54Z","title":"Generalized Consistency Trajectory Models for Image Manipulation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12510","snapshot_observed_at":"2026-08-15T19:57:37.865797Z","title":"Generalized consistency trajectory models for image manipulation.arXiv preprint arXiv:2403.12510, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.865797Z"},"links":{"cited_paper":"/paper/2403.12510","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:bcdd9f7af113c247201066cd7383656441b08d7ef7e026618686548e92c2c1e9","observation_id":"02efa243-8e50-498d-ace9-a4b3d1252507","resolution":{"observed_at":"2026-08-15T19:57:37.865797Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02279","last_updated":"2024-03-30T06:29:48Z","snapshot_observed_at":"2026-08-16T14:56:10.016412Z","submitted_at":"2023-10-01T05:07:17Z","title":"Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02279","snapshot_observed_at":"2026-08-15T19:57:37.869662Z","title":"Consistency trajectory models: Learning probability flow ode trajectory of diffusion.ArXiv, abs/2310.02279, 2023","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.869662Z"},"links":{"cited_paper":"/paper/2310.02279","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:e2e59e08bffd7a47765170366ad6aa4ac8c7a900173a7462ddc790dee483ab18","observation_id":"682f7b80-fd9b-417e-83aa-b1d334fc5083","resolution":{"observed_at":"2026-08-15T19:57:37.869662Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:38.980847Z","title":"Understanding diffusion objectives as the ELBO with simple data augmentation","venue":null,"work_id":"1a6bf034-de4a-4b35-bd26-130e1aecfe97","year":2023},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.873590Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:c17dd05ca986d13a6212f2d00fd5eeab7216f5d98aa6cbd53fcf4212098ae077","observation_id":"cfefe375-5763-4cd1-81a9-977cd4b76237","resolution":{"observed_at":"2026-08-15T19:57:38.984678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.07724","last_updated":"2024-11-06T14:29:36Z","snapshot_observed_at":"2026-08-16T14:01:46.140668Z","submitted_at":"2024-04-11T13:16:47Z","title":"Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.07724","snapshot_observed_at":"2026-08-15T19:57:37.877089Z","title":"Applying guidance in a limited interval improves sample and distribution quality in diffusion models.arXiv preprint arXiv:2404.07724, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.877089Z"},"links":{"cited_paper":"/paper/2404.07724","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:a7c37d2efa019353c32035608ca6768bd211b299dc0eb88ac9c75fb2088ff9f4","observation_id":"2058cacf-da0a-4a70-afa3-db16da6a2027","resolution":{"observed_at":"2026-08-15T19:57:37.877089Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.881009Z","title":"Flux.https://github.com/black-forest-labs/flux, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.881009Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:915df9f9fb2345ad80b43df36aec80e26235834aacf23ebc3a5adc68a287984f","observation_id":"e8926227-19ed-479d-a9e1-ac73f29aa74d","resolution":{"observed_at":"2026-08-15T19:57:37.881009Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14895","last_updated":"2025-01-23T18:56:32Z","snapshot_observed_at":"2026-08-16T13:07:53.318971Z","submitted_at":"2024-10-18T22:38:08Z","title":"Truncated Consistency Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.14895","snapshot_observed_at":"2026-08-15T19:57:37.884446Z","title":"Truncated consistency models.arXiv preprint arXiv:2410.14895, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.884446Z"},"links":{"cited_paper":"/paper/2410.14895","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:6477e088417183bd64083216b0dd0cb1f6d6e7220f49c25ca16025f4ae2a3680","observation_id":"b3d87f10-6970-46e9-a59e-c7e1b94cb1bd","resolution":{"observed_at":"2026-08-15T19:57:37.884446Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18035","last_updated":"2025-03-02T16:41:49Z","snapshot_observed_at":"2026-08-16T15:23:52.143957Z","submitted_at":"2024-03-26T18:40:36Z","title":"Bidirectional Consistency Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.18035","snapshot_observed_at":"2026-08-15T19:57:37.888238Z","title":"Bidirectional consistency models.arXiv preprint arXiv:2403.18035, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.888238Z"},"links":{"cited_paper":"/paper/2403.18035","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:4d875ccbda4a62f99a719ba99c25e199b18d45f6cf1360c46e262bb72792e76c","observation_id":"e880a981-1b46-49eb-9c8d-7577660251fb","resolution":{"observed_at":"2026-08-15T19:57:37.888238Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11838","last_updated":"2024-11-01T14:45:36Z","snapshot_observed_at":"2026-08-16T13:42:07.461220Z","submitted_at":"2024-06-17T17:59:58Z","title":"Autoregressive Image Generation without Vector Quantization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11838","snapshot_observed_at":"2026-08-15T19:57:37.892141Z","title":"Autoregressive image generation without vector quantization.arXiv preprint arXiv:2406.11838, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.892141Z"},"links":{"cited_paper":"/paper/2406.11838","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:8e7b1fa25620fc6ea4460d538aae1a7bbd403d333786797b7ba52f1dc503a92c","observation_id":"fc6ec3c6-8ec5-446d-8970-227718bd4ea4","resolution":{"observed_at":"2026-08-15T19:57:37.892141Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02747","last_updated":"2023-02-08T15:46:05Z","snapshot_observed_at":"2026-08-16T02:30:42.660030Z","submitted_at":"2022-10-06T08:32:20Z","title":"Flow Matching for Generative Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.02747","snapshot_observed_at":"2026-08-15T19:57:37.896166Z","title":"Flow matching for generative modeling.arXiv preprint arXiv:2210.02747, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.896166Z"},"links":{"cited_paper":"/paper/2210.02747","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:d7e43e1b5032c25b5fae736ca555ed0491228174319c68b8ae65aab868b99b6c","observation_id":"d5b32733-db9f-4fb1-9c57-d7f86e9ad9f0","resolution":{"observed_at":"2026-08-15T19:57:37.896166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01505","last_updated":"2025-03-05T11:39:35Z","snapshot_observed_at":"2026-08-16T14:13:21.424629Z","submitted_at":"2024-03-03T13:08:32Z","title":"SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.01505","snapshot_observed_at":"2026-08-15T19:57:37.899794Z","title":"Scott: Accelerating diffusion models with stochastic consistency distillation.arXiv preprint arXiv:2403.01505, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.899794Z"},"links":{"cited_paper":"/paper/2403.01505","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:1cc80007bbb22ff63e41bc2904aa5de04ecc49ee9abf742504dc2576f94872a4","observation_id":"8b08c313-c5b9-4c74-97f0-3ef830bc6ae2","resolution":{"observed_at":"2026-08-15T19:57:37.899794Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09416","last_updated":"2024-11-28T05:35:23Z","snapshot_observed_at":"2026-08-16T13:43:13.028051Z","submitted_at":"2024-06-13T17:59:58Z","title":"Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.09416","snapshot_observed_at":"2026-08-15T19:57:37.903677Z","title":"Alle- viating distortion in image generation via multi-resolution diffusion models.arXiv preprint arXiv:2406.09416, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.903677Z"},"links":{"cited_paper":"/paper/2406.09416","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:1169dea50488eb5b6e5fba28d34ea13838b2e58c4a44f9e82d1a6ac6a26976b2","observation_id":"88091afb-8e1c-49c2-b645-618b7fe6f99e","resolution":{"observed_at":"2026-08-15T19:57:37.903677Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:38.963125Z","title":"Flow straight and fast: Learning to generate and transfer data with rectified flow","venue":null,"work_id":"a38064f0-bca9-4104-bbf8-20e0930f6cd2","year":2023},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.907452Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:ba587f2a242ef1efe8b54ee7e450d0d9f9fa5c5a4327ba8984448eebb4299141","observation_id":"2bcc32c4-f232-4cf6-a43a-70aecfbcc664","resolution":{"observed_at":"2026-08-15T19:57:38.966932Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.11081","last_updated":"2025-03-01T09:52:49Z","snapshot_observed_at":"2026-08-14T10:36:46.717239Z","submitted_at":"2024-10-14T20:43:25Z","title":"Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.11081","snapshot_observed_at":"2026-08-15T19:57:37.911262Z","title":"Simplifying, stabilizing and scaling continuous-time consistency models.arXiv preprint arXiv:2410.11081, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.911262Z"},"links":{"cited_paper":"/paper/2410.11081","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:0cdb022bd39ab6894f05fe0a62e3a4a4a554215d809ac25247861ce866cd4b6d","observation_id":"245dc62c-a20b-44be-8288-a36178cab02e","resolution":{"observed_at":"2026-08-15T19:57:37.911262Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.914967Z","title":"Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in Neural Information Processing Systems, 35:5775–5787, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.914967Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:215b8778a099db9a66303dee5e19a65631de696efcd949ae2ef90ab3972c4858","observation_id":"1adfd757-640d-4cf7-a260-d754ad88e40d","resolution":{"observed_at":"2026-08-15T19:57:37.914967Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.01095","last_updated":"2025-05-19T07:56:56Z","snapshot_observed_at":"2026-08-15T03:10:54.042099Z","submitted_at":"2022-11-02T13:14:30Z","title":"DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.01095","snapshot_observed_at":"2026-08-15T19:57:37.918436Z","title":"Dpm- solver++: Fast solver for guided sampling of diffusion probabilistic models.arXiv preprint arXiv:2211.01095, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.918436Z"},"links":{"cited_paper":"/paper/2211.01095","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:cdf5fb6c65d5408fcc1ec76a1105453bbe263f7f2f9af5815fefa5c9030d48d6","observation_id":"826d2d15-d4bd-4a70-9f85-4469668c420c","resolution":{"observed_at":"2026-08-15T19:57:37.918436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.02388","last_updated":"2021-01-07T06:12:28Z","snapshot_observed_at":"2026-08-16T11:24:54.113126Z","submitted_at":"2021-01-07T06:12:28Z","title":"Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.02388","snapshot_observed_at":"2026-08-15T19:57:37.922184Z","title":"Knowledge distillation in iterative generative models for improved sampling speed.arXiv preprint arXiv:2101.02388, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.922184Z"},"links":{"cited_paper":"/paper/2101.02388","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:d2047e2dfc0d8d302a70f94308988757de61bda96304f30e1f4e9da6c43cef0c","observation_id":"9cd88b3e-9c6d-4870-b90f-aac4c12a18d6","resolution":{"observed_at":"2026-08-15T19:57:37.922184Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.04378","last_updated":"2023-10-06T17:11:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-06T17:11:58Z","title":"Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.04378","snapshot_observed_at":"2026-08-15T19:57:37.925986Z","title":"Latent consistency models: Synthesizing high-resolution images with few-step inference.ArXiv, abs/2310.04378, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.925986Z"},"links":{"cited_paper":"/paper/2310.04378","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:97614db8dda2bc0e93bb0d7a59579a0ebd03413b8982b21143168c0117cf9b3b","observation_id":"45186a5e-e909-4201-ab0e-5ece1c078909","resolution":{"observed_at":"2026-08-15T19:57:37.925986Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.05556","last_updated":"2023-11-09T18:04:15Z","snapshot_observed_at":"2026-08-17T12:13:27.505206Z","submitted_at":"2023-11-09T18:04:15Z","title":"LCM-LoRA: A Universal Stable-Diffusion Acceleration Module","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.05556","snapshot_observed_at":"2026-08-15T19:57:37.929683Z","title":"Lcm-lora: A universal stable-diffusion acceleration module","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.929683Z"},"links":{"cited_paper":"/paper/2311.05556","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:3876306891cc1fe43dd76862136f4882040dfa123d7d9bee13ae0186505e10bf","observation_id":"754e5fc3-ccbb-4bbf-899f-a34ae773213d","resolution":{"observed_at":"2026-08-15T19:57:37.929683Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:38.943401Z","title":"Diff- instruct: A universal approach for transferring knowledge from pre-trained diffusion models","venue":null,"work_id":"1a4f8a49-763e-43d5-83f5-077f65513da8","year":2023},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.933593Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:c4b6f90ea86c957ac9841b03ddfc58c1e1d9567c33e671b19d68b2e2f023e1d9","observation_id":"1748e9e1-9489-4581-8d0c-550ab91ee434","resolution":{"observed_at":"2026-08-15T19:57:38.948426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.08740","last_updated":"2024-09-23T15:59:41Z","snapshot_observed_at":"2026-08-16T14:27:01.619497Z","submitted_at":"2024-01-16T18:55:25Z","title":"SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.08740","snapshot_observed_at":"2026-08-15T19:57:37.936957Z","title":"Sit: Exploring flow and diffusion-based generative models with scalable interpolant transformers.arXiv preprint arXiv:2401.08740, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.936957Z"},"links":{"cited_paper":"/paper/2401.08740","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:1c690bbff2e582f0b73a2d8ba248819e6ccb2fc5062395ca6a15d2f83fd0bd1f","observation_id":"a64868c2-9ce2-4e5e-9851-218fe0a0ce33","resolution":{"observed_at":"2026-08-15T19:57:37.936957Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.940760Z","title":"On distillation of guided diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.940760Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:d8fdfa123cd1b35d975123d6897ffaf623700b37a25c7eb929ed90fb1cc2e229","observation_id":"bf71b5bb-d08b-4dcf-84be-d99c25536ca7","resolution":{"observed_at":"2026-08-15T19:57:37.940760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.944283Z","title":"Scalable diffusion models with transformers","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.944283Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:39f63f52574833dba58e8503f213e6869d182ff7742f40d6631f1d040d85b248","observation_id":"2f254e17-c568-456a-96e3-b78d9a67c138","resolution":{"observed_at":"2026-08-15T19:57:37.944283Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01952","last_updated":"2023-07-04T23:04:57Z","snapshot_observed_at":"2026-08-14T22:54:08.184266Z","submitted_at":"2023-07-04T23:04:57Z","title":"SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01952","snapshot_observed_at":"2026-08-15T19:57:37.947671Z","title":"Sdxl: Improving latent diffusion models for high-resolution image synthesis.arXiv preprint arXiv:2307.01952, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.947671Z"},"links":{"cited_paper":"/paper/2307.01952","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:9ad8bbea94989949dbd92efced70a0c19ad1b136311bbbfcf7f89d30283e86aa","observation_id":"f4d88b6f-1c6e-43b5-a45c-8037f4e27433","resolution":{"observed_at":"2026-08-15T19:57:37.947671Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:38.918928Z","title":"High- Resolution Image Synthesis with Latent Diffusion Models","venue":null,"work_id":"28d64871-3d14-480a-8512-8b75c103e6ec","year":2022},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.951389Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:00cd00b89c83f3b1a406712d82408ec143701bdc99a12231a73d33454f60d22b","observation_id":"702110a8-f290-4055-9983-720866494849","resolution":{"observed_at":"2026-08-15T19:57:38.922640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14507","last_updated":"2024-04-22T18:18:41Z","snapshot_observed_at":"2026-08-16T13:58:46.333951Z","submitted_at":"2024-04-22T18:18:41Z","title":"Align Your Steps: Optimizing Sampling Schedules in Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.14507","snapshot_observed_at":"2026-08-15T19:57:37.955271Z","title":"Align your steps: Optimizing sampling schedules in diffusion models.arXiv preprint arXiv:2404.14507, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.955271Z"},"links":{"cited_paper":"/paper/2404.14507","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:1273b0fafb161acac8973bc43ece35d9d3b93a1538bd80aeeec12f82a52d26dc","observation_id":"57a99c57-91e8-4028-b30a-2e69f25d5908","resolution":{"observed_at":"2026-08-15T19:57:37.955271Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.11487","last_updated":"2022-05-23T17:42:53Z","snapshot_observed_at":"2026-08-17T05:51:02.087480Z","submitted_at":"2022-05-23T17:42:53Z","title":"Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.11487","snapshot_observed_at":"2026-08-15T19:57:37.958942Z","title":"Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, Seyedeh Sara Mahdavi, Raphael Gontijo Lopes, Tim Salimans, Jonathan Ho, David J","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.958942Z"},"links":{"cited_paper":"/paper/2205.11487","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:242a01e37135ae5047aaf860a30ccf6eb5763bd29d9a8c3295b40aedb90d77cd","observation_id":"85b758a9-63ab-4f6f-b6a6-47b0d60a4a52","resolution":{"observed_at":"2026-08-15T19:57:37.958942Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.00512","last_updated":"2022-06-07T09:17:35Z","snapshot_observed_at":"2026-08-12T01:14:44.484432Z","submitted_at":"2022-02-01T16:07:25Z","title":"Progressive Distillation for Fast Sampling of Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.00512","snapshot_observed_at":"2026-08-15T19:57:37.962608Z","title":"Progressive distillation for fast sampling of diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.962608Z"},"links":{"cited_paper":"/paper/2202.00512","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:137c4f2e258ca735853169e25c9061e1a2174936de44ecaee5d99dd22a1d363a","observation_id":"68e839ba-e947-4efd-a866-f25d5640fc71","resolution":{"observed_at":"2026-08-15T19:57:37.962608Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:38.907956Z","title":"Multistep distillation of diffusion models via moment matching","venue":null,"work_id":"41def724-1f85-460e-8104-8af61bd6b025","year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.966197Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:989a089e73159cdedbb51e48c5dfc50de537b4bf7d7f28b5adf87383120717b3","observation_id":"127ca2ba-f294-477d-8b83-0eafef746595","resolution":{"observed_at":"2026-08-15T19:57:38.911778Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.970058Z","title":"Stylegan-xl: Scaling stylegan to large diverse datasets","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.970058Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:6ae8c42880aad58d5c7f0a4e172e4ae4b32a788fd045ab1589bb2d2714666d89","observation_id":"efeb13cd-7928-444d-8d7d-1c9e4e1acbbd","resolution":{"observed_at":"2026-08-15T19:57:37.970058Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.973521Z","title":"Fast high-resolution image synthesis with latent adversarial diffusion distillation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.973521Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:f6add6afa55c04fd37b237678b6f4451d3374b8d4f86f846620b6db6b9efd96b","observation_id":"591ade46-837d-461b-a02f-e3b03f327d47","resolution":{"observed_at":"2026-08-15T19:57:37.973521Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:38.882059Z","title":"Adversarial diffusion distillation","venue":null,"work_id":"687926eb-765f-49a9-ad83-baaf4c43353b","year":2025},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.976945Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:13417d29fd120c251789b7e6021781201ca4a8dba9490ce43024f0b5a1635def","observation_id":"6f067b03-4156-42a8-8341-392ded24d326","resolution":{"observed_at":"2026-08-15T19:57:38.886830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-08-11T15:38:14.931716Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-15T19:57:37.980779Z","title":"Denoising diffusion implicit models.arXiv preprint arXiv:2010.02502, 2020","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.980779Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:805434ec2d589d2bf3837a667c35265aaf9eccdb8f25e96bc0d1cef3db454a74","observation_id":"01a8e39a-e000-4998-99f4-e8040f9695de","resolution":{"observed_at":"2026-08-15T19:57:37.980779Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.14189","last_updated":"2023-10-22T05:33:38Z","snapshot_observed_at":"2026-08-17T19:16:27.766862Z","submitted_at":"2023-10-22T05:33:38Z","title":"Improved Techniques for Training Consistency Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.14189","snapshot_observed_at":"2026-08-15T19:57:37.984176Z","title":"Improved techniques for training consistency models.arXiv preprint arXiv:2310.14189, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.984176Z"},"links":{"cited_paper":"/paper/2310.14189","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:ee06a2e0684c9e96672aef9ce9ded66708c9cddfd1c5ba09c89fd51e07a055dd","observation_id":"077678bf-2241-4d60-8d7c-13aea180e038","resolution":{"observed_at":"2026-08-15T19:57:37.984176Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.987797Z","title":"Score-Based Generative Modeling through Stochastic Differential Equations","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.987797Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:de768bff0bbe6b2a1158f511e3e95031af4c27976eba44bf47397f808959dbc6","observation_id":"9e8d6ff7-25b0-45f2-8f3e-b460c7d59ff8","resolution":{"observed_at":"2026-08-15T19:57:37.987797Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.01469","last_updated":"2023-05-31T06:17:10Z","snapshot_observed_at":"2026-08-15T07:00:23.337991Z","submitted_at":"2023-03-02T18:30:16Z","title":"Consistency Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.01469","snapshot_observed_at":"2026-08-15T19:57:37.990991Z","title":"Consistency models.arXiv preprint arXiv:2303.01469, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.990991Z"},"links":{"cited_paper":"/paper/2303.01469","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:347191c3f10acf1a2e6b47a3981d405798b54ac91a9a4af0d1f913ad326d2d2f","observation_id":"ddf598e0-c2ad-4bb9-8ed5-093205f67620","resolution":{"observed_at":"2026-08-15T19:57:37.990991Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.23274","last_updated":"2024-12-03T00:28:32Z","snapshot_observed_at":"2026-08-16T13:04:26.094727Z","submitted_at":"2024-10-30T17:54:56Z","title":"Multi-student Diffusion Distillation for Better One-step Generators","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.23274","snapshot_observed_at":"2026-08-15T19:57:37.994720Z","title":"Multi-student diffusion distillation for better one-step generators.arXiv preprint arXiv:2410.23274, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.994720Z"},"links":{"cited_paper":"/paper/2410.23274","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:a73a913054b4d19f61aa8c73ce6fa29e90164454b60f5ed6ce583e26f3dde8fe","observation_id":"384fc5f9-8d6c-4ff6-ac3e-c54339eaefbf","resolution":{"observed_at":"2026-08-15T19:57:37.994720Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:37.998783Z","title":"Fourier features let networks learn high frequency functions in low dimensional domains.Advances in neural information processing systems, 33:7537–7547, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:37.998783Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:9a058774facd54369f3a28563614f62347944a3926160bfdce732606e781c331","observation_id":"01bf3c8c-b665-498b-a831-64f81af864fb","resolution":{"observed_at":"2026-08-15T19:57:37.998783Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08378","last_updated":"2024-11-13T07:03:47Z","snapshot_observed_at":"2026-08-16T22:25:35.632972Z","submitted_at":"2024-11-13T07:03:47Z","title":"Physics Informed Distillation for Diffusion Models","version":1},"cited_work":{"arxiv_id":"2411.08378","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.08378","snapshot_observed_at":"2026-08-15T19:57:38.262051Z","title":"Physics Informed Distillation for Diffusion Models","venue":"cs.LG","work_id":"06831f89-b5ba-4be7-9051-f26657555e2b","year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.002352Z"},"links":{"cited_paper":"/paper/2411.08378","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:d99c2efff8fdf1299e8a4c02162cf9a1529bc961ea9fa6b37f005905ecf287cc","observation_id":"bfb74742-75dc-4c36-ab5e-d9932c7d3d13","resolution":{"observed_at":"2026-08-15T19:57:38.268364Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14224","last_updated":"2024-07-10T09:02:11Z","snapshot_observed_at":"2026-08-16T20:38:15.729152Z","submitted_at":"2024-05-23T06:53:18Z","title":"DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14224","snapshot_observed_at":"2026-08-15T19:57:38.006237Z","title":"Dim: Diffusion mamba for efficient high-resolution image synthesis.arXiv preprint arXiv:2405.14224, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.006237Z"},"links":{"cited_paper":"/paper/2405.14224","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:1d05736f91bd599b170bf2cabd055d4b43f3e78b72ce396ecbeb46dc2a62543f","observation_id":"4ba97e5b-4b4c-4d5b-b21e-df06df1595dd","resolution":{"observed_at":"2026-08-15T19:57:38.006237Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02905","last_updated":"2024-06-10T17:59:07Z","snapshot_observed_at":"2026-08-16T14:03:52.109479Z","submitted_at":"2024-04-03T17:59:53Z","title":"Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.02905","snapshot_observed_at":"2026-08-15T19:57:38.009725Z","title":"Visual autoregressive mod- eling: Scalable image generation via next-scale prediction.arXiv preprint arXiv:2404.02905, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.009725Z"},"links":{"cited_paper":"/paper/2404.02905","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:c6c2ed3c8fc228d922434c90f1633ca3bd0e12da891ca79fe1fcd9d29c8116e5","observation_id":"e3d9f7ae-4feb-441a-b90a-4c7a82bc952a","resolution":{"observed_at":"2026-08-15T19:57:38.009725Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.02730","last_updated":"2024-10-30T16:13:42Z","snapshot_observed_at":"2026-08-16T13:55:23.420832Z","submitted_at":"2024-05-04T18:27:29Z","title":"U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.02730","snapshot_observed_at":"2026-08-15T19:57:38.013339Z","title":"U-dits: Down- sample tokens in u-shaped diffusion transformers.arXiv preprint arXiv:2405.02730, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.013339Z"},"links":{"cited_paper":"/paper/2405.02730","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:c0174a37ee5521b41f5333f1282078a48b3da82ec4a3de858dd0169dcc56591f","observation_id":"b151d511-708a-4da7-992a-52e3d68b5b0c","resolution":{"observed_at":"2026-08-15T19:57:38.013339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:38.017046Z","title":"Attention is all you need.Advances in Neural Information Processing Systems, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.017046Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:295d770e89351fbe5cbaf382d61c712984bfa23eceb065861e49be16cdec745b","observation_id":"fda3d942-dfff-43fd-8004-3daf4244bd96","resolution":{"observed_at":"2026-08-15T19:57:38.017046Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.18958","last_updated":"2024-12-04T05:04:42Z","snapshot_observed_at":"2026-08-16T13:06:11.033671Z","submitted_at":"2024-10-24T17:55:52Z","title":"Stable Consistency Tuning: Understanding and Improving Consistency Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.18958","snapshot_observed_at":"2026-08-15T19:57:38.020843Z","title":"Stable consistency tuning: Understanding and improving consistency models.arXiv preprint arXiv:2410.18958, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.020843Z"},"links":{"cited_paper":"/paper/2410.18958","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:558c7a25e186089ce4e930299c2523d4c1e3eb5d8f253d94ba1d49b553ae7cf7","observation_id":"b172fed1-b207-4543-bc9d-a3610945b212","resolution":{"observed_at":"2026-08-15T19:57:38.020843Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18407","last_updated":"2024-12-04T06:18:16Z","snapshot_observed_at":"2026-08-16T13:48:31.130468Z","submitted_at":"2024-05-28T17:47:19Z","title":"Phased Consistency Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.18407","snapshot_observed_at":"2026-08-15T19:57:38.024858Z","title":"Phased consistency models.arXiv preprint arXiv:2405.18407, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.024858Z"},"links":{"cited_paper":"/paper/2405.18407","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:6d3fd97bae4962e05b90a22ddf419cefce5fc89e935b0404fefb42cffa61684c","observation_id":"d0fe48d6-fa8a-4424-988b-4d4a7a4f2966","resolution":{"observed_at":"2026-08-15T19:57:38.024858Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:38.028916Z","title":"Pro- lificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.028916Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:7091f03407c5f6be0f2f65eb8cf9ff2b9f7b9eb2bfae03b37b55b22f8cda5a6e","observation_id":"2214babb-5935-4813-a3e9-d350d60df3bd","resolution":{"observed_at":"2026-08-15T19:57:38.028916Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:38.843942Z","title":"Em distillation for one-step diffusion models.Advances in Neural Information Processing Systems, 37:45073–45104, 2024","venue":null,"work_id":"0704f093-38d0-41f8-b4bc-77e1f23fa867","year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.032684Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:2dae3d216b77be648346c00cddb9fffd39b1c07568e8b65c75b5b2d80f73dd1f","observation_id":"52a942a7-9166-4dcd-9a23-6f427c62a53c","resolution":{"observed_at":"2026-08-15T19:57:38.847973Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:38.832644Z","title":"Disco-diff: Enhancing continuous diffusion models with discrete latents","venue":null,"work_id":"25185792-b09c-41f1-920e-ce5da187da08","year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.036225Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:a0aff5f35b56fb9d12a7cb990039b08f5b1262a3f3e5a079161410aa71ed1a97","observation_id":"7fb05b08-bb7b-4a18-b953-fcfac0edcf63","resolution":{"observed_at":"2026-08-15T19:57:38.836339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:38.039746Z","title":"Diffusion models without attention","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.039746Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:8a2c4aaa3188f76f7852fd738486b67a5e027b1e4d9d2a4be83d8c61c8f49814","observation_id":"39920aae-7854-48d5-8c6e-40199dfda62c","resolution":{"observed_at":"2026-08-15T19:57:38.039746Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.02398","last_updated":"2024-07-02T16:15:37Z","snapshot_observed_at":"2026-08-17T16:42:56.554179Z","submitted_at":"2024-07-02T16:15:37Z","title":"Consistency Flow Matching: Defining Straight Flows with Velocity Consistency","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.02398","snapshot_observed_at":"2026-08-15T19:57:38.043283Z","title":"Consistency flow matching: Defining straight flows with velocity consistency.arXiv preprint arXiv:2407.02398, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.043283Z"},"links":{"cited_paper":"/paper/2407.02398","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:e77eec0559cfadecd543a608d730fc32f5ad8a48402c818e58ac2040fd87efd1","observation_id":"84d8ee32-b45b-4c53-9f0f-d1b726a6e53c","resolution":{"observed_at":"2026-08-15T19:57:38.043283Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14867","last_updated":"2024-05-24T17:08:32Z","snapshot_observed_at":"2026-08-17T13:58:43.125702Z","submitted_at":"2024-05-23T17:59:49Z","title":"Improved Distribution Matching Distillation for Fast Image Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14867","snapshot_observed_at":"2026-08-15T19:57:38.046828Z","title":"Improved distribution matching distillation for fast image synthesis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.046828Z"},"links":{"cited_paper":"/paper/2405.14867","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:e406acb6a5de18b4d22a6c21371efe1e651a0a281fa1b19ce7764e922785ad4a","observation_id":"0c5ae03f-65e6-46ee-acb1-294d69038446","resolution":{"observed_at":"2026-08-15T19:57:38.046828Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:38.050486Z","title":"One-step diffusion with distribution matching distillation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.050486Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:d35f1bc970a798b9a02dd193bf6c4f267078568becb84d6b663b4df88ce0deec","observation_id":"f7af76ee-ae45-4493-8c62-21532239a46d","resolution":{"observed_at":"2026-08-15T19:57:38.050486Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.05737","last_updated":"2024-03-29T17:44:41Z","snapshot_observed_at":"2026-08-02T18:23:02.746177Z","submitted_at":"2023-10-09T14:10:29Z","title":"Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.05737","snapshot_observed_at":"2026-08-15T19:57:38.054101Z","title":"Language model beats diffusion–tokenizer is key to visual generation.arXiv preprint arXiv:2310.05737, 2023","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.054101Z"},"links":{"cited_paper":"/paper/2310.05737","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:1a8e603ce4110486f1992f724e22d18a5a890a72a723a29e189f9037cac50df3","observation_id":"a5ba6aec-ac0c-4888-bceb-bec77acbdefd","resolution":{"observed_at":"2026-08-15T19:57:38.054101Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.13902","last_updated":"2023-02-25T20:30:35Z","snapshot_observed_at":"2026-08-16T17:03:46.549576Z","submitted_at":"2022-04-29T06:32:38Z","title":"Fast Sampling of Diffusion Models with Exponential Integrator","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.13902","snapshot_observed_at":"2026-08-15T19:57:38.058174Z","title":"Fast sampling of diffusion models with exponential integrator.arXiv preprint arXiv:2204.13902, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.058174Z"},"links":{"cited_paper":"/paper/2204.13902","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:51190909dbe2c2df3d6c0aeb103626610e2503090980c9a581b684476faef452","observation_id":"be158ca6-766e-4857-a1b5-e40d6029842b","resolution":{"observed_at":"2026-08-15T19:57:38.058174Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:38.061897Z","title":"The unrea- sonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.061897Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:2292554475e87aa22e9e5ecf0b66cb27609dd730d80952eeb10048af8656714a","observation_id":"dc7a3d07-5cb8-42f9-887e-62d005608db0","resolution":{"observed_at":"2026-08-15T19:57:38.061897Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20750","last_updated":"2024-06-07T00:49:28Z","snapshot_observed_at":"2026-08-16T13:47:27.110990Z","submitted_at":"2024-05-31T11:14:12Z","title":"Diffusion Models Are Innate One-Step Generators","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20750","snapshot_observed_at":"2026-08-15T19:57:38.065268Z","title":"Diffusion models are innate one-step generators.arXiv preprint arXiv:2405.20750, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.065268Z"},"links":{"cited_paper":"/paper/2405.20750","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:7dfca10a4126e6fb8fa47cac91ed8d50978d736b9b0fd6e0808aef5989c7bde3","observation_id":"a6104f73-2331-4a95-bc2d-63ad8180e998","resolution":{"observed_at":"2026-08-15T19:57:38.065268Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:38.069885Z","title":"Fast sampling of diffusion models via operator learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.069885Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:46993f2f618458b47c68dd80f0263c2fc49ffb8a368c9a57fbc39f5066f5419a","observation_id":"20475ce5-19f7-4766-b25b-2d0b68ea3634","resolution":{"observed_at":"2026-08-15T19:57:38.069885Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:38.794665Z","title":"Trajectory consistency distillation, 2024","venue":null,"work_id":"92d2c631-0338-4abe-a405-326afe0a5228","year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.073610Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:fea0a8b66b7124c5f398ae825fe8351112aef05121abd2947607a7a5c45796c9","observation_id":"e33963dd-3f1f-46f1-b425-26ac9e50a3db","resolution":{"observed_at":"2026-08-15T19:57:38.798597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07565","last_updated":"2025-05-14T19:11:44Z","snapshot_observed_at":"2026-08-16T12:51:25.226336Z","submitted_at":"2025-03-10T17:37:39Z","title":"Inductive Moment Matching","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.07565","snapshot_observed_at":"2026-08-15T19:57:38.076891Z","title":"Inductive moment matching.arXiv preprint arXiv:2503.07565, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.076891Z"},"links":{"cited_paper":"/paper/2503.07565","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:daa006f63f7d25d4da9ecc22fce02efd759b9bc7f4b560d5ea9a199d164bdf1f","observation_id":"124769b8-f6bd-4f9a-97ba-65c6b50160db","resolution":{"observed_at":"2026-08-15T19:57:38.076891Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01561","last_updated":"2025-02-08T17:46:58Z","snapshot_observed_at":"2026-08-16T13:46:37.510161Z","submitted_at":"2024-06-03T17:44:11Z","title":"Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01561","snapshot_observed_at":"2026-08-15T19:57:38.080587Z","title":"Long and short guidance in score identity distillation for one-step text-to-image generation.ArXiv 2406.01561, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.080587Z"},"links":{"cited_paper":"/paper/2406.01561","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:fbb9d8dcc8393e42a21117c60eb7e1e20fd8fc0ca31b5b2763219615e52abd87","observation_id":"a033e837-bb0c-44c5-87d1-7dd92618ce90","resolution":{"observed_at":"2026-08-15T19:57:38.080587Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14919","last_updated":"2024-12-24T05:06:20Z","snapshot_observed_at":"2026-08-16T13:07:52.909705Z","submitted_at":"2024-10-19T00:33:51Z","title":"Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.14919","snapshot_observed_at":"2026-08-15T19:57:38.084450Z","title":"Adversarial score identity distillation: Rapidly surpassing the teacher in one step.arXiv preprint arXiv:2410.14919, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.084450Z"},"links":{"cited_paper":"/paper/2410.14919","citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:40151c1e1add2ac9fdf50a545dbf1887a8255a3b6484d8cf40e67ae14d2f82b2","observation_id":"77deda12-e127-4606-a913-874c6d6833c8","resolution":{"observed_at":"2026-08-15T19:57:38.084450Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:38.783749Z","title":"w(t,s) ∂tfθ(xt,t,s) +∇ xfθ(xt,t,s)· dxt dt 2 2 # =∇ θExt,t,s","venue":null,"work_id":"febe79be-6619-4116-9e07-7b0d03aba7c8","year":2024},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.088621Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:fdfd0c9b4df139ce44e0b13e99a8dca3776dfedfd36081dabdee756b042f9fdd","observation_id":"d2f4f5e5-c009-4a82-9bc0-7bea196b1df0","resolution":{"observed_at":"2026-08-15T19:57:38.787386Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:57:38.772028Z","title":"Fθ(xt,t,s)− dxt dt −(t−s) dFθ−(xt,t,s) dt 2 2 # .(34) Taking the gradient with respect toθ: ∇θLMeanFlow(θ) =∇ θExt,t,s","venue":null,"work_id":"f95a6dcd-2169-484e-a776-c77bf2f3a752","year":2000},"citing_paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-15T19:57:38.092653Z"},"links":{"citing_paper":"/paper/2506.14603"},"observation_digest":"sha256:4a07d10954388b9d0914ad2791ed276c31894b9dae9641364f321e0ad4f06688","observation_id":"eb03b2c9-afc4-4556-b892-00b45cf91466","resolution":{"observed_at":"2026-08-15T19:57:38.776262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.14603","last_updated":"2025-06-17T15:06:07Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T19:17:22.817209Z","submitted_at":"2025-06-17T15:06:07Z","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation"},"reference_resolution":{"displayed":98,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":85,"verified_exact":1,"verified_fuzzy":12},"total_outbound_references":98},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 98 of 98 outbound references and 23 inbound Pith citation observations for arXiv:2506.14603."}