{"as_of":"2026-08-09T11:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:32b3053b86fd024feef885c3c418895f5920c9244a57e19f6fddac8be2815d82","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":21,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T19:32:32.077872Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.19159","last_updated":"2024-04-15T13:51:17Z","snapshot_observed_at":"2026-08-04T12:42:29.134022Z","submitted_at":"2024-02-29T13:44:14Z","title":"Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.19159","snapshot_observed_at":"2026-08-08T19:32:32.077872Z","title":"Trajectory consistency distillation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.05415","last_updated":"2025-05-18T14:59:21Z","snapshot_observed_at":"2026-08-09T00:35:30.883689Z","submitted_at":"2025-02-08T02:52:25Z","title":"UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-08T19:32:32.077872Z"},"links":{"cited_paper":"/paper/2402.19159","citing_paper":"/paper/2502.05415"},"observation_digest":"sha256:d8fd0465c46f3e5698b40a6b704764bd5a89a1e32e6574f61389ec09268eed6c","observation_id":"2107e3c7-cfcc-4997-88dd-2b6d3c25a642","resolution":{"observed_at":"2026-08-08T19:32:32.077872Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19159","last_updated":"2024-04-15T13:51:17Z","snapshot_observed_at":"2026-08-04T12:42:29.134022Z","submitted_at":"2024-02-29T13:44:14Z","title":"Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping","version":2},"cited_work":{"arxiv_id":"2402.19159","doi":"10.48550/arxiv.2402.19159","metadata_source":"pith","pith_arxiv_id":"2402.19159","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Trajectory consistency distillation","venue":"cs.CV","work_id":"574690b8-8769-4bb6-a62d-619b4a9fa70a","year":2024},"citing_paper":{"arxiv_id":"2505.02242","last_updated":"2026-04-22T04:07:04Z","snapshot_observed_at":"2026-07-06T21:18:45.864722Z","submitted_at":"2025-05-04T20:50:44Z","title":"Sampling-Aware Quantization for Diffusion Models","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-22T15:59:13.334531Z"},"links":{"cited_paper":"/paper/2402.19159","citing_paper":"/paper/2505.02242"},"observation_digest":"sha256:a72eb710fb33bfaffa762c71c8d1c9cf2792892327d922dd1e5e4e89b4f63068","observation_id":"2d561bc4-225a-4fee-a002-b4d5225f9335","resolution":{"observed_at":"2026-05-22T16:01:45.978981Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19159","last_updated":"2024-04-15T13:51:17Z","snapshot_observed_at":"2026-08-04T12:42:29.134022Z","submitted_at":"2024-02-29T13:44:14Z","title":"Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.19159","snapshot_observed_at":"2026-08-07T13:46:46.186058Z","title":"Trajectory consistency distillation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.21114","last_updated":"2025-05-27T12:33:43Z","snapshot_observed_at":"2026-08-07T13:32:59.082783Z","submitted_at":"2025-05-27T12:33:43Z","title":"Differentiable Solver Search for Fast Diffusion Sampling","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T13:46:46.186058Z"},"links":{"cited_paper":"/paper/2402.19159","citing_paper":"/paper/2505.21114"},"observation_digest":"sha256:e40c44adfaa25f80bb6184676281d67500a42d6adc0339c1e8d3743c119d7701","observation_id":"f037546a-3930-47cd-a84c-32ddc5c81115","resolution":{"observed_at":"2026-08-07T13:46:46.186058Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19159","last_updated":"2024-04-15T13:51:17Z","snapshot_observed_at":"2026-08-04T12:42:29.134022Z","submitted_at":"2024-02-29T13:44:14Z","title":"Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.19159","snapshot_observed_at":"2026-08-07T13:42:37.425279Z","title":"Trajectory consistency distillation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21179","last_updated":"2025-06-03T02:46:07Z","snapshot_observed_at":"2026-08-07T21:11:55.613725Z","submitted_at":"2025-05-27T13:30:46Z","title":"Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T13:42:37.425279Z"},"links":{"cited_paper":"/paper/2402.19159","citing_paper":"/paper/2505.21179"},"observation_digest":"sha256:42766f2f8bc7e9e17afb7fc2ebe861064cb6eb99cb969e04a9276cfb7aa3654b","observation_id":"25b9619e-8363-47c5-86bd-64c4735885c9","resolution":{"observed_at":"2026-08-07T13:42:37.425279Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19159","last_updated":"2024-04-15T13:51:17Z","snapshot_observed_at":"2026-08-04T12:42:29.134022Z","submitted_at":"2024-02-29T13:44:14Z","title":"Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.19159","snapshot_observed_at":"2026-08-07T13:24:40.211794Z","title":"StudioGAN","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21960","last_updated":"2025-05-28T04:23:22Z","snapshot_observed_at":"2026-08-07T13:16:22.197005Z","submitted_at":"2025-05-28T04:23:22Z","title":"One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:40.211794Z"},"links":{"cited_paper":"/paper/2402.19159","citing_paper":"/paper/2505.21960"},"observation_digest":"sha256:244010b53b2ae06a54fef528da5187c0de51eb42e8140450e428099575a6b2c9","observation_id":"ec3e79bf-8a10-434e-9440-ffbd30454579","resolution":{"observed_at":"2026-08-07T13:24:40.211794Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19159","last_updated":"2024-04-15T13:51:17Z","snapshot_observed_at":"2026-08-04T12:42:29.134022Z","submitted_at":"2024-02-29T13:44:14Z","title":"Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.19159","snapshot_observed_at":"2026-08-07T11:14:11.081004Z","title":"Trajectory consistency distillation.arXiv preprint arXiv:2402.19159, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03123","last_updated":"2025-08-06T03:03:38Z","snapshot_observed_at":"2026-08-08T03:29:19.267049Z","submitted_at":"2025-06-03T17:55:04Z","title":"Dual-Expert Consistency Model for Efficient and High-Quality Video Generation","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-07T11:14:11.081004Z"},"links":{"cited_paper":"/paper/2402.19159","citing_paper":"/paper/2506.03123"},"observation_digest":"sha256:bf54ed496217a10ffa6d5432408764764e59f7d5f9647fcc8be855fe3cf6cb47","observation_id":"69a36dda-0086-4f26-b574-b5b379ff8977","resolution":{"observed_at":"2026-08-07T11:14:11.081004Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19159","last_updated":"2024-04-15T13:51:17Z","snapshot_observed_at":"2026-08-04T12:42:29.134022Z","submitted_at":"2024-02-29T13:44:14Z","title":"Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.19159","snapshot_observed_at":"2026-08-06T14:37:37.146031Z","title":"Tra- jectory consistency distillation: Improved latent consistency distillation by semi-linear consistency function with trajec- tory mapping","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.18569","last_updated":"2025-07-24T16:45:05Z","snapshot_observed_at":"2026-08-08T21:36:52.142420Z","submitted_at":"2025-07-24T16:45:05Z","title":"Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-06T14:37:37.146031Z"},"links":{"cited_paper":"/paper/2402.19159","citing_paper":"/paper/2507.18569"},"observation_digest":"sha256:2d1fe112730a3da91a772b3481b13797a1f0c27436d81d4e47a5990be923ffcf","observation_id":"a0021317-c949-48de-a1d1-1ded6c3553cb","resolution":{"observed_at":"2026-08-06T14:37:37.146031Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19159","last_updated":"2024-04-15T13:51:17Z","snapshot_observed_at":"2026-08-04T12:42:29.134022Z","submitted_at":"2024-02-29T13:44:14Z","title":"Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.19159","snapshot_observed_at":"2026-08-05T12:27:44.426010Z","title":"Which image is of higher quality and more aesthetically pleasing?","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.01624","last_updated":"2025-09-01T17:09:22Z","snapshot_observed_at":"2026-08-07T01:40:10.714953Z","submitted_at":"2025-09-01T17:09:22Z","title":"Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T12:27:44.426010Z"},"links":{"cited_paper":"/paper/2402.19159","citing_paper":"/paper/2509.01624"},"observation_digest":"sha256:690a4b4617380f31de33084c245b52b9ceb745a418a371f24f20658456c5b98a","observation_id":"c0f45a45-431f-4a67-88c6-136cbc51bf31","resolution":{"observed_at":"2026-08-05T12:27:44.426010Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19159","last_updated":"2024-04-15T13:51:17Z","snapshot_observed_at":"2026-08-04T12:42:29.134022Z","submitted_at":"2024-02-29T13:44:14Z","title":"Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping","version":2},"cited_work":{"arxiv_id":"2402.19159","doi":"10.48550/arxiv.2402.19159","metadata_source":"pith","pith_arxiv_id":"2402.19159","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Trajectory consistency distillation","venue":"cs.CV","work_id":"574690b8-8769-4bb6-a62d-619b4a9fa70a","year":2024},"citing_paper":{"arxiv_id":"2510.20512","last_updated":"2026-04-10T07:55:17Z","snapshot_observed_at":"2026-07-06T22:33:53.834577Z","submitted_at":"2025-10-23T12:56:33Z","title":"Adversarial Concept Distillation for One-Step Diffusion Personalization","version":2},"reference_index":114,"source":"pdf_text","source_observed_at":"2026-05-18T04:50:01.364000Z"},"links":{"cited_paper":"/paper/2402.19159","citing_paper":"/paper/2510.20512"},"observation_digest":"sha256:e4cb4d5aebcc7114f500a6d457d7d6bd728b06902ef798ed3fd85b5b6d301806","observation_id":"886c34f4-f0b3-4c06-9cdb-cb9e964bf3cc","resolution":{"observed_at":"2026-05-18T04:50:53.727837Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19159","last_updated":"2024-04-15T13:51:17Z","snapshot_observed_at":"2026-08-04T12:42:29.134022Z","submitted_at":"2024-02-29T13:44:14Z","title":"Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping","version":2},"cited_work":{"arxiv_id":"2402.19159","doi":"10.48550/arxiv.2402.19159","metadata_source":"pith","pith_arxiv_id":"2402.19159","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Trajectory consistency distillation","venue":"cs.CV","work_id":"574690b8-8769-4bb6-a62d-619b4a9fa70a","year":2024},"citing_paper":{"arxiv_id":"2604.08828","last_updated":"2026-04-10T00:00:08Z","snapshot_observed_at":"2026-08-01T01:57:30.150325Z","submitted_at":"2026-04-10T00:00:08Z","title":"Post-Hoc Guidance for Consistency Models by Joint Flow Distribution Learning","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-10T18:22:57.207456Z"},"links":{"cited_paper":"/paper/2402.19159","citing_paper":"/paper/2604.08828"},"observation_digest":"sha256:300504693bf8d34bdfc07f4d31b326c28181b171cfb497c41e7f030939d490c0","observation_id":"53f7b035-a73c-4b3e-aaac-2ada4ea608c0","resolution":{"observed_at":"2026-05-11T00:41:06.181956Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19159","last_updated":"2024-04-15T13:51:17Z","snapshot_observed_at":"2026-08-04T12:42:29.134022Z","submitted_at":"2024-02-29T13:44:14Z","title":"Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping","version":2},"cited_work":{"arxiv_id":"2402.19159","doi":"10.48550/arxiv.2402.19159","metadata_source":"pith","pith_arxiv_id":"2402.19159","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Trajectory consistency distillation","venue":"cs.CV","work_id":"574690b8-8769-4bb6-a62d-619b4a9fa70a","year":2024},"citing_paper":{"arxiv_id":"2604.08837","last_updated":"2026-04-10T00:25:44Z","snapshot_observed_at":"2026-07-06T22:57:50.266735Z","submitted_at":"2026-04-10T00:25:44Z","title":"Discrete Meanflow Training Curriculum","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-10T18:15:51.900778Z"},"links":{"cited_paper":"/paper/2402.19159","citing_paper":"/paper/2604.08837"},"observation_digest":"sha256:a33042d811824647f7e70f0d111fd4dcb725a2d367bf706761e230d6b6fdc3ad","observation_id":"50eec596-b60a-45be-a64a-911de209a532","resolution":{"observed_at":"2026-05-11T05:10:55.535695Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19159","last_updated":"2024-04-15T13:51:17Z","snapshot_observed_at":"2026-08-04T12:42:29.134022Z","submitted_at":"2024-02-29T13:44:14Z","title":"Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping","version":2},"cited_work":{"arxiv_id":"2402.19159","doi":"10.48550/arxiv.2402.19159","metadata_source":"pith","pith_arxiv_id":"2402.19159","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Trajectory consistency distillation","venue":"cs.CV","work_id":"574690b8-8769-4bb6-a62d-619b4a9fa70a","year":2024},"citing_paper":{"arxiv_id":"2605.06376","last_updated":"2026-05-07T14:56:39Z","snapshot_observed_at":"2026-07-06T23:18:51.157048Z","submitted_at":"2026-05-07T14:56:39Z","title":"Continuous-Time Distribution Matching for Few-Step Diffusion Distillation","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-08T13:28:42.083284Z"},"links":{"cited_paper":"/paper/2402.19159","citing_paper":"/paper/2605.06376"},"observation_digest":"sha256:0345ced3450f4be89c707e7f0336eca78682b364d109a2027782387212327cc3","observation_id":"50c29dae-b8de-450f-b6ab-897c6e0e74a6","resolution":{"observed_at":"2026-05-11T18:51:09.256904Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19159","last_updated":"2024-04-15T13:51:17Z","snapshot_observed_at":"2026-08-04T12:42:29.134022Z","submitted_at":"2024-02-29T13:44:14Z","title":"Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping","version":2},"cited_work":{"arxiv_id":"2402.19159","doi":"10.48550/arxiv.2402.19159","metadata_source":"pith","pith_arxiv_id":"2402.19159","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Trajectory consistency distillation","venue":"cs.CV","work_id":"574690b8-8769-4bb6-a62d-619b4a9fa70a","year":2024},"citing_paper":{"arxiv_id":"2605.15190","last_updated":"2026-05-14T17:59:30Z","snapshot_observed_at":"2026-08-03T08:24:27.614764Z","submitted_at":"2026-05-14T17:59:30Z","title":"RAVEN: Real-time Autoregressive Video Extrapolation with Consistency-model GRPO","version":1},"reference_index":110,"source":"pdf_text","source_observed_at":"2026-06-30T20:38:28.328436Z"},"links":{"cited_paper":"/paper/2402.19159","citing_paper":"/paper/2605.15190"},"observation_digest":"sha256:a0ace0903bff75e591c7f53942ef9f8148f2e1e1d94ceaabd6c6d4293ad42989","observation_id":"e8d141e2-9d91-4510-bc77-3719f61c722c","resolution":{"observed_at":"2026-07-01T14:35:47.277449Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19159","last_updated":"2024-04-15T13:51:17Z","snapshot_observed_at":"2026-08-04T12:42:29.134022Z","submitted_at":"2024-02-29T13:44:14Z","title":"Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping","version":2},"cited_work":{"arxiv_id":"2402.19159","doi":"10.48550/arxiv.2402.19159","metadata_source":"pith","pith_arxiv_id":"2402.19159","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Trajectory consistency distillation","venue":"cs.CV","work_id":"574690b8-8769-4bb6-a62d-619b4a9fa70a","year":2024},"citing_paper":{"arxiv_id":"2606.01651","last_updated":"2026-06-01T03:58:47Z","snapshot_observed_at":"2026-08-01T03:39:57.371958Z","submitted_at":"2026-06-01T03:58:47Z","title":"Restoring Initial Noise Sensitivity in Text-to-Image Distillation via Geometric Alignment","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-06-28T15:20:32.624323Z"},"links":{"cited_paper":"/paper/2402.19159","citing_paper":"/paper/2606.01651"},"observation_digest":"sha256:36b22bf9f911532c1243508696c46c7d27e2c61a1b308ecaec3a3600ee3ffe87","observation_id":"86fd8da8-bbcc-4a7f-8ce7-04ef27447e54","resolution":{"observed_at":"2026-07-01T22:26:18.194654Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19159","last_updated":"2024-04-15T13:51:17Z","snapshot_observed_at":"2026-08-04T12:42:29.134022Z","submitted_at":"2024-02-29T13:44:14Z","title":"Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping","version":2},"cited_work":{"arxiv_id":"2402.19159","doi":"10.48550/arxiv.2402.19159","metadata_source":"pith","pith_arxiv_id":"2402.19159","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Trajectory consistency distillation","venue":"cs.CV","work_id":"574690b8-8769-4bb6-a62d-619b4a9fa70a","year":2024},"citing_paper":{"arxiv_id":"2606.05327","last_updated":"2026-06-03T18:11:44Z","snapshot_observed_at":"2026-07-29T23:33:14.524997Z","submitted_at":"2026-06-03T18:11:44Z","title":"Multimarginal flow matching with optimal transport potentials","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-06-28T07:29:08.311282Z"},"links":{"cited_paper":"/paper/2402.19159","citing_paper":"/paper/2606.05327"},"observation_digest":"sha256:d6847f84732c3fbb32b4f762bc9f44286467bc248c2591347e8fc7665923568f","observation_id":"35c7f043-2c3b-4538-9f32-84c4d77cb544","resolution":{"observed_at":"2026-07-02T06:06:41.845502Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19159","last_updated":"2024-04-15T13:51:17Z","snapshot_observed_at":"2026-08-04T12:42:29.134022Z","submitted_at":"2024-02-29T13:44:14Z","title":"Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping","version":2},"cited_work":{"arxiv_id":"2402.19159","doi":"10.48550/arxiv.2402.19159","metadata_source":"pith","pith_arxiv_id":"2402.19159","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Trajectory consistency distillation","venue":"cs.CV","work_id":"574690b8-8769-4bb6-a62d-619b4a9fa70a","year":2024},"citing_paper":{"arxiv_id":"2606.22394","last_updated":"2026-07-18T17:41:38Z","snapshot_observed_at":"2026-08-02T10:36:49.390429Z","submitted_at":"2026-06-21T08:49:50Z","title":"Curvature-Adaptive Consistency Flow Matching: Autonomous Trajectory Optimization via Reinforcement Learning","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-06-26T10:40:22.767129Z"},"links":{"cited_paper":"/paper/2402.19159","citing_paper":"/paper/2606.22394"},"observation_digest":"sha256:c37959eae83fff8a44de70fe4e9375f0fc37db9ef48b45c7027cee9136730fc8","observation_id":"8450d33b-5842-4a41-b0fc-075fd38d5300","resolution":{"observed_at":"2026-07-04T08:59:43.015365Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19159","last_updated":"2024-04-15T13:51:17Z","snapshot_observed_at":"2026-08-04T12:42:29.134022Z","submitted_at":"2024-02-29T13:44:14Z","title":"Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.19159","snapshot_observed_at":"2026-08-02T10:36:55.777292Z","title":"Tian et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.22394","last_updated":"2026-07-18T17:41:38Z","snapshot_observed_at":"2026-08-02T10:36:49.390429Z","submitted_at":"2026-06-21T08:49:50Z","title":"Curvature-Adaptive Consistency Flow Matching: Autonomous Trajectory Optimization via Reinforcement Learning","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-02T10:36:55.777292Z"},"links":{"cited_paper":"/paper/2402.19159","citing_paper":"/paper/2606.22394"},"observation_digest":"sha256:1f3e1ff210cac68b778ab78426c02bff793ff5626bf3e0e5515fdbfab26b69ea","observation_id":"dddfd0d6-410e-4287-9d1a-d0d8ce50a126","resolution":{"observed_at":"2026-08-02T10:36:55.777292Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19159","last_updated":"2024-04-15T13:51:17Z","snapshot_observed_at":"2026-08-04T12:42:29.134022Z","submitted_at":"2024-02-29T13:44:14Z","title":"Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping","version":2},"cited_work":{"arxiv_id":"2402.19159","doi":"10.48550/arxiv.2402.19159","metadata_source":"pith","pith_arxiv_id":"2402.19159","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Trajectory consistency distillation","venue":"cs.CV","work_id":"574690b8-8769-4bb6-a62d-619b4a9fa70a","year":2024},"citing_paper":{"arxiv_id":"2606.28226","last_updated":"2026-06-26T16:14:33Z","snapshot_observed_at":"2026-08-06T10:58:03.877451Z","submitted_at":"2026-06-26T16:14:33Z","title":"Exposure Bias Can Alleviate Itself via Directional and Frequency Rectification in Flow Matching","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-06-29T04:13:18.570081Z"},"links":{"cited_paper":"/paper/2402.19159","citing_paper":"/paper/2606.28226"},"observation_digest":"sha256:5f302da9a59435709082cbbd8fb51a00848f061d1f271e8f0b4533365f9ab9c6","observation_id":"fe3b30d4-1d00-403c-a8b1-d4999328105c","resolution":{"observed_at":"2026-07-01T17:05:51.062194Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19159","last_updated":"2024-04-15T13:51:17Z","snapshot_observed_at":"2026-08-04T12:42:29.134022Z","submitted_at":"2024-02-29T13:44:14Z","title":"Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping","version":2},"cited_work":{"arxiv_id":"2402.19159","doi":"10.48550/arxiv.2402.19159","metadata_source":"pith","pith_arxiv_id":"2402.19159","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Trajectory consistency distillation","venue":"cs.CV","work_id":"574690b8-8769-4bb6-a62d-619b4a9fa70a","year":2024},"citing_paper":{"arxiv_id":"2606.32020","last_updated":"2026-06-30T17:51:26Z","snapshot_observed_at":"2026-08-03T10:16:58.559510Z","submitted_at":"2026-06-30T17:51:26Z","title":"Cross-Space Distillation: Teaching One-Step Students with Modern Diffusion Teachers","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-07-01T05:35:48.896721Z"},"links":{"cited_paper":"/paper/2402.19159","citing_paper":"/paper/2606.32020"},"observation_digest":"sha256:0d9d4c778f8abfd5f9b699a5c0e6b0b527e2dd7f2b609775b264ad174a5720a5","observation_id":"21646098-d69f-4f51-9200-2147f6497cf8","resolution":{"observed_at":"2026-07-01T05:45:25.767123Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19159","last_updated":"2024-04-15T13:51:17Z","snapshot_observed_at":"2026-08-04T12:42:29.134022Z","submitted_at":"2024-02-29T13:44:14Z","title":"Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.19159","snapshot_observed_at":"2026-08-04T04:31:36.225707Z","title":"arXiv preprint arXiv:2402.19159 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.06114","last_updated":"2026-08-04T01:33:50Z","snapshot_observed_at":"2026-08-07T23:09:32.541263Z","submitted_at":"2026-07-07T10:24:38Z","title":"x-Prediction Is All You Need:Training-Free Accelerated Generation via Endpoint Decodability","version":3},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-04T04:31:36.225707Z"},"links":{"cited_paper":"/paper/2402.19159","citing_paper":"/paper/2607.06114"},"observation_digest":"sha256:efb0866d0c693ea53db2b9ce10a54974deb96101b7c50b3f6a3944da77c8af17","observation_id":"8d2a8fb0-a671-44c7-afc6-11899c1981ec","resolution":{"observed_at":"2026-08-04T04:31:36.225707Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19159","last_updated":"2024-04-15T13:51:17Z","snapshot_observed_at":"2026-08-04T12:42:29.134022Z","submitted_at":"2024-02-29T13:44:14Z","title":"Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping","version":2},"cited_work":{"arxiv_id":"2402.19159","doi":"10.48550/arxiv.2402.19159","metadata_source":"pith","pith_arxiv_id":"2402.19159","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Trajectory consistency distillation","venue":"cs.CV","work_id":"574690b8-8769-4bb6-a62d-619b4a9fa70a","year":2024},"citing_paper":{"arxiv_id":"2607.06609","last_updated":"2026-07-07T06:05:42Z","snapshot_observed_at":"2026-08-03T12:39:06.462309Z","submitted_at":"2026-07-07T06:05:42Z","title":"D2PO: Optimizing Diffusion Samplers via Dynamic Preference","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-07-11T01:57:11.149703Z"},"links":{"cited_paper":"/paper/2402.19159","citing_paper":"/paper/2607.06609"},"observation_digest":"sha256:d407de1604cc9b2bc06030e9148b607203c988407b9aa1d4ddc963a155f94ad8","observation_id":"ba3b4ed2-76a5-49e9-b0a4-0e7d943f5d0d","resolution":{"observed_at":"2026-07-11T01:57:50.094472Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2402.19159/citation-record","integrity":"/paper/2402.19159/integrity","json":"/paper/2402.19159/citation-record.json","paper":"/paper/2402.19159"},"outbound":[],"paper":{"arxiv_id":"2402.19159","last_updated":"2024-04-15T13:51:17Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-04T12:42:29.134022Z","submitted_at":"2024-02-29T13:44:14Z","title":"Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2402.19159."}