{"as_of":"2026-08-10T07:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:96ac5d6cd8026baefd40fb2ffb7b238d1b3c29a1adc64fcb1c7466903dea7335","coverage":[{"denominator":63,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":63,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T20:53:59.538395Z","state":"measured"},{"denominator":64,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":64,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-13T12:34:28.755596Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.19243","snapshot_observed_at":"2026-07-13T12:34:28.755596Z","title":"Accelerating diffusion transformer via error-optimized cache.arXiv preprint arXiv:2501.19243,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2604.03674","last_updated":"2026-04-04T10:16:18Z","snapshot_observed_at":"2026-08-06T17:48:37.654091Z","submitted_at":"2026-04-04T10:16:18Z","title":"DiffSparse: Accelerating Diffusion Transformers with Learned Token Sparsity","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-13T12:34:28.755596Z"},"links":{"cited_paper":"/paper/2501.19243","citing_paper":"/paper/2604.03674"},"observation_digest":"sha256:473b8c7d596f4363d7ab57c0a6b49c5d8fdd6d1d6c1617b4ee62dd52dd48351e","observation_id":"c90a7935-042d-4600-90b9-60b126c7202f","resolution":{"observed_at":"2026-07-13T12:34:28.755596Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2501.19243/citation-record","integrity":"/paper/2501.19243/integrity","json":"/paper/2501.19243/citation-record.json","paper":"/paper/2501.19243"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-09T20:53:59.145568Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.145568Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:882ff81e586b775b197c59bd52f862e6873f4060b51f64c09257b1847bdd8dbb","observation_id":"7468d46f-8175-4db1-8214-f5950579c441","resolution":{"observed_at":"2026-08-09T20:53:59.145568Z","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":"2026-08-09T20:54:00.390670Z","title":null,"venue":null,"work_id":"4c28b908-c597-4ab0-8b4a-3d912382ec2f","year":null},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.151038Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:85c64fd3bd591c391b5c400d7f634177be81eb3ceab20a4859b2a507b2d585f8","observation_id":"3f1d1229-8bee-482c-8dff-2da5ed477fef","resolution":{"observed_at":"2026-08-09T20:54:00.395479Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T20:54:00.362669Z","title":null,"venue":null,"work_id":"6e9111f0-1471-4ad7-9cba-e0c162cae382","year":2024},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.265742Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:0fcb42896469574cd55791094b3245403d665feaceaf9bc9274b8ac1866c7c80","observation_id":"30c49195-efd3-4ede-b74d-70c1d3324491","resolution":{"observed_at":"2026-08-09T20:54:00.367035Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00426","last_updated":"2023-12-29T16:42:08Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-09-30T16:18:00Z","title":"PixArt-$\\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00426","snapshot_observed_at":"2026-08-09T20:53:59.270717Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.270717Z"},"links":{"cited_paper":"/paper/2310.00426","citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:d46aff83205ca99ecd106bb2412b9ea5c763e9c5f358f0ba2c4c19e116b3ba45","observation_id":"211ecbd2-4a77-4359-af75-cd15815b8257","resolution":{"observed_at":"2026-08-09T20:53:59.270717Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01125","last_updated":"2024-06-03T09:10:44Z","snapshot_observed_at":"2026-07-06T18:24:17.711867Z","submitted_at":"2024-06-03T09:10:44Z","title":"$\\Delta$-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01125","snapshot_observed_at":"2026-08-09T20:53:59.275735Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.275735Z"},"links":{"cited_paper":"/paper/2406.01125","citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:2175a15b03377a08d4139154f03ed6ec94d5cf85d0189fc585fb19f513895802","observation_id":"312a75ab-ac72-43d3-9ee4-dc7ac7352e56","resolution":{"observed_at":"2026-08-09T20:53:59.275735Z","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":"2026-08-09T20:53:59.280676Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.280676Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:77912d09e20100f4adc778c797aa27e29c4000d37496ce50867ffedb6a536716","observation_id":"c476f29c-d804-4083-a0d6-3d96cf62b95c","resolution":{"observed_at":"2026-08-09T20:53:59.280676Z","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":"2026-08-09T20:54:00.338257Z","title":null,"venue":null,"work_id":"a8ccdd7d-3242-4885-80ff-f543e6836896","year":2017},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.285127Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:0a591543e19d20f354df9a9d082c4f3e54248ace30c0cc835c522560332a9502","observation_id":"165d0388-efaf-43f4-aa3a-59d94b607681","resolution":{"observed_at":"2026-08-09T20:54:00.342783Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T20:54:00.323386Z","title":null,"venue":null,"work_id":"3d665f9f-8b85-479d-b092-a99eedeec656","year":2025},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.290374Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:625c5da1e4dbc50b281e9189237fbda4b00085d110b2f561344ae86fd6dbbb34","observation_id":"2cecabe5-1843-47e3-ab24-542472329ed0","resolution":{"observed_at":"2026-08-09T20:54:00.327821Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T20:54:00.309022Z","title":null,"venue":null,"work_id":"a642f7b4-5e58-4fc5-b3ca-d1a20f8d44d2","year":2024},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.294928Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:a18506a7d261a8999a9cb721cd0aa9bfce832bb8f22659a7425ed7550d656746","observation_id":"ef7080df-f932-4e82-800a-dc92449e57b0","resolution":{"observed_at":"2026-08-09T20:54:00.313489Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.07463","last_updated":"2021-06-09T14:39:17Z","snapshot_observed_at":"2026-08-08T10:12:13.760366Z","submitted_at":"2020-12-14T12:34:01Z","title":"Parameter-Efficient Transfer Learning with Diff Pruning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.07463","snapshot_observed_at":"2026-08-09T20:53:59.299915Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.299915Z"},"links":{"cited_paper":"/paper/2012.07463","citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:d9126d221783405a343a9a2c56b10ec683a5aae9c7e2ffb8c62aff7885ca12d1","observation_id":"855f788d-7c5d-451f-ba0d-25023161bf37","resolution":{"observed_at":"2026-08-09T20:53:59.299915Z","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":"2026-08-09T20:54:00.294950Z","title":null,"venue":null,"work_id":"f537bd91-d9db-483c-8df4-8825d9b26039","year":2019},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.304824Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:6bc62dbcbeeb285e63c9d2bc77d35b88f06ea0a6235ea5f37350268ee8b46b06","observation_id":"37022d8d-998f-43eb-8be5-c30d03c176c5","resolution":{"observed_at":"2026-08-09T20:54:00.299446Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T20:54:00.281032Z","title":null,"venue":null,"work_id":"4a37c0ad-0964-47bb-ad17-883a202dfd9a","year":null},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.309375Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:55232a5e6b144ef318034e73ab9bbee3dc7b16ef736c0093c5b5b278ffbe9b33","observation_id":"5f6f75fe-6b32-4ff0-a6e9-1d95a05b1985","resolution":{"observed_at":"2026-08-09T20:54:00.285544Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T20:53:59.318673Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.318673Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:608d462d6a4eb8791d7ba287126a87f0bdee1cb61d93f0e51cea0c5286a35efe","observation_id":"991f78d9-bec1-40ad-b185-6c6adbabfc47","resolution":{"observed_at":"2026-08-09T20:53:59.318673Z","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":"2026-08-09T20:54:00.244679Z","title":null,"venue":null,"work_id":"b94cae41-cb32-4501-b40c-5290cfaab7c9","year":null},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.323126Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:d6e6a8f1c0d1c173f75d9d3ac0896ff1715c8bf4f2baa909ca8314cc2c6ade2b","observation_id":"db4ec931-75b8-4ce7-8b1b-7706f754aec8","resolution":{"observed_at":"2026-08-09T20:54:00.248943Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T20:54:00.231597Z","title":null,"venue":null,"work_id":"43cdf54d-a2ca-4c32-8a09-e19a7a9c2766","year":2025},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.332684Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:c404eb6f12a21af3cc8e95b6a1a9b51524a36d5f131cd3cd203fb2d0f840b719","observation_id":"650cff7c-3636-47b4-997b-90222dd2598d","resolution":{"observed_at":"2026-08-09T20:54:00.235614Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T20:54:00.218335Z","title":null,"venue":null,"work_id":"a4cdec0a-bfca-4ecd-b0e2-bb8b59582e3a","year":2023},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.337303Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:59cb0b74d32b97bb13229a055a1af7c3a8144921982cfbb8bcd9afa5dbef8727","observation_id":"70b6e429-22db-4675-8213-5f0e8f39afc8","resolution":{"observed_at":"2026-08-09T20:54:00.222308Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T20:54:00.204363Z","title":null,"venue":null,"work_id":"3c45bcb1-d3d3-4805-a4a0-b2c0de8e329a","year":2023},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.341599Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:11a23a57a408a64055c1979eb51252ff20482c09bb1cc8f505c2985165921692","observation_id":"04b8a1f3-1b56-4c6f-bf90-7feab690b398","resolution":{"observed_at":"2026-08-09T20:54:00.208736Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.05426","last_updated":"2021-07-25T09:34:39Z","snapshot_observed_at":"2026-08-04T09:21:27.169501Z","submitted_at":"2021-02-10T13:46:16Z","title":"BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.05426","snapshot_observed_at":"2026-08-09T20:53:59.345802Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.345802Z"},"links":{"cited_paper":"/paper/2102.05426","citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:e728941a3c48e1c17a74efc5668222db9ac08d8a2594db6c46f74054f1fa3714","observation_id":"e79d7dd9-6fb3-4ded-8f0e-075c4af549b2","resolution":{"observed_at":"2026-08-09T20:53:59.345802Z","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":"2026-08-09T20:53:59.350763Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.350763Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:5849561a7c77b032d0197c8e4002aedbcb568947dc7d73d935d45e1d32ab82f9","observation_id":"02dfa1d9-2c78-406c-9897-22c3b5511f76","resolution":{"observed_at":"2026-08-09T20:53:59.350763Z","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":"2026-08-09T20:54:00.180937Z","title":null,"venue":null,"work_id":"fc47ed98-c4a3-4d63-840b-91bcb7de35aa","year":2025},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.354995Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:531d9da6df1824d4bdaba809c8c76a2f33622688f1b0e70a4e515e730212db11","observation_id":"407375fc-b235-41d6-99e9-3181e1978c1d","resolution":{"observed_at":"2026-08-09T20:54:00.185684Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T20:53:59.359348Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.359348Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:c4e8d73ff5160297ba169f51664453ff40639d454403cb8cb0482eb6c54eb94b","observation_id":"e01cd0a0-7718-4610-be88-47af8085d50e","resolution":{"observed_at":"2026-08-09T20:53:59.359348Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.05270","last_updated":"2019-03-05T05:58:11Z","snapshot_observed_at":"2026-07-06T07:07:34.689643Z","submitted_at":"2018-10-11T22:15:28Z","title":"Rethinking the Value of Network Pruning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.05270","snapshot_observed_at":"2026-08-09T20:53:59.368988Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.368988Z"},"links":{"cited_paper":"/paper/1810.05270","citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:c87255b00dd76c65c7907ae1c132278311fda011012ad5c0e31fe868fb57d4ee","observation_id":"0052dc8d-fef6-45e0-a172-61bf050ee73c","resolution":{"observed_at":"2026-08-09T20:53:59.368988Z","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":"2026-08-09T20:53:59.373609Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.373609Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:868e126e340956a6adbf31d5b2b5addb8aa1b3c9760554fa667b2a83b067acde","observation_id":"4db195d5-c1f5-425a-ae0d-d31c7e63e89c","resolution":{"observed_at":"2026-08-09T20:53:59.373609Z","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":"2026-08-09T20:54:00.130208Z","title":null,"venue":null,"work_id":"bebd6407-e22b-40dd-af0f-e9954cf8d805","year":2023},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.382572Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:f7501cffec664dd4aaca2f69c282bfc993fabb615716a76c735909f88b420c40","observation_id":"300daa80-182b-48e4-b3e7-58d186764a96","resolution":{"observed_at":"2026-08-09T20:54:00.134691Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.01943","last_updated":"2025-02-11T03:55:29Z","snapshot_observed_at":"2026-08-10T04:04:29.931898Z","submitted_at":"2025-02-04T02:30:36Z","title":"DAMA: Data- and Model-aware Alignment of Multi-modal LLMs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.01943","snapshot_observed_at":"2026-08-09T20:53:59.386831Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.386831Z"},"links":{"cited_paper":"/paper/2502.01943","citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:3174f63c40d7cc59d6674bc98c9d23075baee6401650cb806a7f19cfe7f5bbd1","observation_id":"e1d98e76-d1b5-46b8-8c07-44b113e5db60","resolution":{"observed_at":"2026-08-09T20:53:59.386831Z","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":"2026-07-06T10:30:38.112588Z","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":"2026-08-09T20:53:59.391463Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.391463Z"},"links":{"cited_paper":"/paper/2101.02388","citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:fffb5731ddf089f89be0b9fb6dbd4778650c2857861df8ec4f64f02ec75be9bf","observation_id":"869c9158-a7b1-47ca-9c40-e2f955880cb6","resolution":{"observed_at":"2026-08-09T20:53:59.391463Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.19355","last_updated":"2025-03-12T03:40:38Z","snapshot_observed_at":"2026-08-05T05:01:08.560635Z","submitted_at":"2024-10-25T07:24:38Z","title":"FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.19355","snapshot_observed_at":"2026-08-09T20:53:59.395917Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.395917Z"},"links":{"cited_paper":"/paper/2410.19355","citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:6c82fd72364e5c5ee4b3f2895591d2f27a27af22465e10aabb3b7f24a7c0d19d","observation_id":"196081b3-1f35-4be3-bf0d-2edad6302d50","resolution":{"observed_at":"2026-08-09T20:53:59.395917Z","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":"2026-08-09T20:53:59.378065Z","title":"Advances in Neural Information Processing Systems 35 (2022), 5775–5787","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.378065Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:ca7ec569fcf00b2e3156c32acbf735143bdfd75c82f81007ea5e19d4e7835b9d","observation_id":"900eb3ee-9a1e-4aea-90cd-1c5127452f09","resolution":{"observed_at":"2026-08-09T20:53:59.378065Z","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":"2026-08-09T20:53:59.405055Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.405055Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:dbc4f817d2afaa86417c153f9d77c052cb7b7dacfdef10ffec2ea3b811a048a6","observation_id":"9b644d35-34d9-4b34-a195-88b56c81e002","resolution":{"observed_at":"2026-08-09T20:53:59.405055Z","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":"2026-08-09T20:53:59.409622Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.409622Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:0d2190af48c21301e13c3f2146d5612ea27b78c68d6c98d6e87e57448297965a","observation_id":"1a326949-ecfd-4d78-a058-750cceb4dca3","resolution":{"observed_at":"2026-08-09T20:53:59.409622Z","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":"2026-08-09T20:54:00.098097Z","title":null,"venue":null,"work_id":"aa1945ad-c1de-4dde-b7e9-2187609cc9bc","year":2022},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.413995Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:810ac92b2ef8992eacc268636f7d69560cfcccf730ffffa3732c1060f2b2cdf7","observation_id":"e798bf70-1564-43ca-bf4a-17f0980faf13","resolution":{"observed_at":"2026-08-09T20:54:00.102486Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T20:54:00.083115Z","title":null,"venue":null,"work_id":"3b13c582-df23-411a-8d03-a9a6e77bb96e","year":2002},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.418429Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:5e8b96373a9a0bc020ced66bed69be8a04970368de9ddbc2a15b5c7138f0f117","observation_id":"8b146ad7-5723-4cdf-a285-9a49a9f1ceda","resolution":{"observed_at":"2026-08-09T20:54:00.087593Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01733","last_updated":"2024-11-16T07:43:28Z","snapshot_observed_at":"2026-08-08T19:05:50.047355Z","submitted_at":"2024-06-03T18:49:57Z","title":"Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01733","snapshot_observed_at":"2026-08-09T20:53:59.400434Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.400434Z"},"links":{"cited_paper":"/paper/2406.01733","citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:7ffc68698d6083b4e44c087bb42af746ced334151ebb3ecf19c4bafbd5d2702c","observation_id":"61b3cd58-0392-422d-9aca-7bbffb729098","resolution":{"observed_at":"2026-08-09T20:53:59.400434Z","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":"2026-08-09T20:53:59.427288Z","title":null,"venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.427288Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:25ffc1f08d784490331db20b2b7552d410ec16463d18d927972155b43eb7d512","observation_id":"fceee389-2f6a-4c12-808c-415a40ab1da4","resolution":{"observed_at":"2026-08-09T20:53:59.427288Z","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":"2026-08-09T20:53:59.431618Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.431618Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:53c413dedf3fe0fcad40d97d13867717126ea3bf22cf0844758f6ccbedfae1b7","observation_id":"8a1ad805-9c14-4936-90ce-8471bafe8bb5","resolution":{"observed_at":"2026-08-09T20:53:59.431618Z","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":"2026-08-09T20:54:00.035202Z","title":null,"venue":null,"work_id":"063ea97f-4bf1-4c56-af0f-fc54ba54d120","year":2025},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.435870Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:502b36f9e156bd9a7252c80c9499466fdbf796819e67dcbde98334e1686c99f0","observation_id":"86e0b070-b453-4696-9f65-3f7db729d95c","resolution":{"observed_at":"2026-08-09T20:54:00.039788Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.00512","last_updated":"2022-06-07T09:17:35Z","snapshot_observed_at":"2026-08-09T18:51:51.917654Z","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":"2026-08-09T20:53:59.440123Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.440123Z"},"links":{"cited_paper":"/paper/2202.00512","citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:804d26f8ebf9fadbbe836a3a643343ea88ddb82fba85ef6ac1bbb25a09df883a","observation_id":"4f52cfd2-61c2-4c40-a492-5956c891de7c","resolution":{"observed_at":"2026-08-09T20:53:59.440123Z","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":"2026-08-09T20:54:00.068413Z","title":null,"venue":null,"work_id":"7b8f73b7-7c3a-45b4-a090-a4c92df1100b","year":2020},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.422808Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:c79c5763858b986adaa97744f3e20f65cabefaaee203f240109c9741f54ea666","observation_id":"327d5a22-1744-4197-9572-9a70a607ca93","resolution":{"observed_at":"2026-08-09T20:54:00.073393Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T20:54:00.010104Z","title":null,"venue":null,"work_id":"cf5897fa-3083-4680-a9c5-3e9e6fc1df7e","year":2024},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.454216Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:a0283919067c44bea5b8b72470d4b42a3250ca5d1fa82add8a196b54d7d67fb5","observation_id":"be0633ef-8745-41af-89bd-8ae8d6669bab","resolution":{"observed_at":"2026-08-09T20:54:00.015053Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T20:53:59.995519Z","title":null,"venue":null,"work_id":"fd32a1dd-de5d-41f4-802e-fd5415546bf6","year":null},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.458599Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:74410081f02fa85485abfb8acf80345fdf0a0ed49eb1ed13a5cccfe0cb850226","observation_id":"c58618f9-863d-4545-a68e-fbb1ddb294a2","resolution":{"observed_at":"2026-08-09T20:53:59.999962Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-07-06T10:01:50.133383Z","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":"2026-08-09T20:53:59.467415Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.467415Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:7672f75dc534642f18007b74629b8dd24db7ffe9085b8a1ebffaa63fefbbc019","observation_id":"ff6872b4-0167-406d-a5e4-a49e30322754","resolution":{"observed_at":"2026-08-09T20:53:59.467415Z","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":"2026-07-06T14:58:02.852672Z","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":"2026-08-09T20:53:59.472115Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.472115Z"},"links":{"cited_paper":"/paper/2303.01469","citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:867ac4bf33bf9a10732ad36c19edd0555f48c741664821229576a183b6d9de67","observation_id":"795fb0e6-7bdf-4b07-9844-0124891c4fef","resolution":{"observed_at":"2026-08-09T20:53:59.472115Z","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":"2026-08-09T20:53:59.444906Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.444906Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:0b4be4194033c1c7ab57b4416bf87407daae2ee27a3a99a4bf051a87709a91b0","observation_id":"4aef15cc-6610-4587-82ae-eda380ee4f3b","resolution":{"observed_at":"2026-08-09T20:53:59.444906Z","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":"2026-08-09T20:53:59.956381Z","title":null,"venue":null,"work_id":"8e85200b-2118-4467-8730-7dcc5ae85b24","year":2024},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.481424Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:8a2b0dbff2a315d601334fac4d23c85a03c2eac07efbb7e602fb2202dbd26a3c","observation_id":"05ac91e4-c580-449d-93e9-dbe2e4fcfcf0","resolution":{"observed_at":"2026-08-09T20:53:59.960341Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T20:53:59.941324Z","title":null,"venue":null,"work_id":"437a340f-0238-43fe-8d62-1dc1aa912621","year":2025},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.485820Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:a41f49b5c9d837e620aa42ef205ebf95a23a907bb00235ac9850cdc7a4e56096","observation_id":"eb44f3ed-395d-4a91-bfcd-b5d1d823dc27","resolution":{"observed_at":"2026-08-09T20:53:59.946394Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T20:53:59.925686Z","title":null,"venue":null,"work_id":"6d419442-8f4d-4a87-b8b7-1e65dc253325","year":2024},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.490150Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:137404049970163aed552c85cbcb783d78a3248e834b6d88f79922491ea7da64","observation_id":"1d7fea02-0985-4708-b1d3-6ebfc0ff56e8","resolution":{"observed_at":"2026-08-09T20:53:59.930606Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T20:53:59.982002Z","title":"Advances in Neural Information Processing Systems 36 (2024)","venue":null,"work_id":"b073a4ad-d00a-47a2-ba45-72b87aac6674","year":2024},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.463049Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:e7c9f085011a55b2f6cd5af87d1f9bfcff62a066ccd634b52465aac5c6c1f271","observation_id":"e3f88b90-83f0-4e23-b8b8-419c4804cfa3","resolution":{"observed_at":"2026-08-09T20:53:59.985987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T20:53:59.910227Z","title":null,"venue":null,"work_id":"f06b4b56-0bdb-405d-a05b-ad1034eef659","year":2024},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.498946Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:539b10e43badf42135193b0e98c8351f7bba23ae431b67c6d7fe8bee01133b98","observation_id":"2a21b7ef-6626-49c3-b69a-56d2ca4324bf","resolution":{"observed_at":"2026-08-09T20:53:59.915219Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T20:53:59.895845Z","title":null,"venue":null,"work_id":"04141394-f7a6-441e-ba29-681404429ac7","year":2024},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.503304Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:3e9549b0bc680e8d294a49dc831ac153121ce6caa4e17e3918a51f1bc5d0b700","observation_id":"a49135c2-d19b-4d02-8459-398a6fac21ae","resolution":{"observed_at":"2026-08-09T20:53:59.900304Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T20:53:59.969572Z","title":null,"venue":null,"work_id":"51ee17e2-ba1a-4b34-b212-37f715e5fa2f","year":2018},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.476970Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:95bf830251212ca49d1f8b0d191d0a4515fa10b60d4b12197cc65614969627f2","observation_id":"ad7aed03-be27-4b38-b6b9-a6d6d775115b","resolution":{"observed_at":"2026-08-09T20:53:59.973435Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T20:53:59.881699Z","title":null,"venue":null,"work_id":"793463c1-30ab-4dfc-9ed9-498def6c2295","year":2023},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.512257Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:29c775e9570f7aea83edcf7a9ac56000d3556e8a9a5aa5bc45624fe0fef04c6f","observation_id":"31e2f084-fe62-40b2-9c03-a8ef22bafafe","resolution":{"observed_at":"2026-08-09T20:53:59.886209Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T20:53:59.866869Z","title":null,"venue":null,"work_id":"45d3ff73-8363-4317-9620-3e9737c639c4","year":2024},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.516808Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:79d6d141460f155e321409bb706a7da72528dbdb25e6fa5a93bbc48c360c37cb","observation_id":"ee7fc104-7860-4f43-a7bf-accb6feaaa4c","resolution":{"observed_at":"2026-08-09T20:53:59.871561Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16005","last_updated":"2024-10-17T15:28:15Z","snapshot_observed_at":"2026-08-08T18:38:43.925941Z","submitted_at":"2024-05-25T02:02:08Z","title":"PTQ4DiT: Post-training Quantization for Diffusion Transformers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16005","snapshot_observed_at":"2026-08-09T20:53:59.494408Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.494408Z"},"links":{"cited_paper":"/paper/2405.16005","citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:e3948b7cb192f92fc0450a513021b1dab06c1ff1cff6b9106db627e51c984dc2","observation_id":"b462b5fb-d707-41d2-bd85-1c3cedbe2d78","resolution":{"observed_at":"2026-08-09T20:53:59.494408Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05317","last_updated":"2025-02-19T10:39:58Z","snapshot_observed_at":"2026-08-10T02:17:37.143120Z","submitted_at":"2024-10-05T03:47:06Z","title":"Accelerating Diffusion Transformers with Token-wise Feature Caching","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05317","snapshot_observed_at":"2026-08-09T20:53:59.538395Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.538395Z"},"links":{"cited_paper":"/paper/2410.05317","citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:0527676ac6e5d9d98921894a093beccb212dcb625036e6048bd821d2da318cb7","observation_id":"f18f9f2e-a691-453b-b60c-cdd94630e0bd","resolution":{"observed_at":"2026-08-09T20:53:59.538395Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.12588","last_updated":"2025-02-27T07:00:30Z","snapshot_observed_at":"2026-07-06T19:04:43.716629Z","submitted_at":"2024-08-22T17:54:21Z","title":"Real-Time Video Generation with Pyramid Attention Broadcast","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.12588","snapshot_observed_at":"2026-08-09T20:53:59.507624Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.507624Z"},"links":{"cited_paper":"/paper/2408.12588","citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:2ed5db9e3d3929082fbc34413002cb7ec85ca46d9032d32881cdf5bdc834546f","observation_id":"b0844f17-2e4e-47b9-b686-c70c90f1498c","resolution":{"observed_at":"2026-08-09T20:53:59.507624Z","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":"2026-08-09T20:53:59.842893Z","title":"Advances in Neural Information Processing Systems 37 (2024), 2001–2025","venue":null,"work_id":"4a4154a3-e7a3-4336-b1a4-895fa40edaaf","year":2024},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.525617Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:da80aa3772f416cf28f01010ae0470ef8bee91411809ed2ff78f92df30a35d3c","observation_id":"62e18dee-47da-41c5-9d6a-ba3b1069ccf0","resolution":{"observed_at":"2026-08-09T20:53:59.847704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T20:53:59.529865Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.529865Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:66e073fa38953adf39c427ce045e02e0de4daba32978b66f5ebed77c43e6d2c8","observation_id":"975c000c-be1c-4ef6-9242-4bc6db501d89","resolution":{"observed_at":"2026-08-09T20:53:59.529865Z","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":"2026-08-09T20:53:59.826087Z","title":"In Pro- ceedings of the 32nd ACM International Conference on Multimedia","venue":null,"work_id":"122f28b2-e1f0-4805-84c1-0aa3d4a2651c","year":null},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.534109Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:6bd6660fc3214f8aa7288b499812305919fe2044890b61bf0af5b7cab06b2db4","observation_id":"6d060762-a330-4f53-b23a-da79e4ade21e","resolution":{"observed_at":"2026-08-09T20:53:59.832560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.06307","last_updated":"2020-02-16T18:23:41Z","snapshot_observed_at":"2026-07-06T08:00:25.359981Z","submitted_at":"2019-06-14T17:26:29Z","title":"A Signal Propagation Perspective for Pruning Neural Networks at Initialization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.06307","snapshot_observed_at":"2026-08-09T20:53:59.327859Z","title":"arXiv preprint arXiv:1906.06307 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.327859Z"},"links":{"cited_paper":"/paper/1906.06307","citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:98475f6a7985ef8a93dd810aa467b34aaa0248d2017a56e00a24932fbd0ee115","observation_id":"ee37d8b0-cbe7-4647-997d-88c63b97fbf9","resolution":{"observed_at":"2026-08-09T20:53:59.327859Z","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":"2026-08-09T20:54:00.376406Z","title":"In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops","venue":null,"work_id":"0a4f06cc-fc05-4e3e-8f1a-7193bec0952d","year":null},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.155906Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:950827eb90bcd8551563e7ae274e7483025940f0c46851401b719b50f4fcc539","observation_id":"725cddb4-71f6-40bd-811f-0bdc6c84a9e3","resolution":{"observed_at":"2026-08-09T20:54:00.381206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T20:53:59.364026Z","title":"In International Conference on Machine Learning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.364026Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:cf693d098c1d3a459ebc8d988d31ca25731d94e0df62e8b006151956e8abd0c0","observation_id":"249e0f8f-0d8c-4a66-a00a-ad8f862f9802","resolution":{"observed_at":"2026-08-09T20:53:59.364026Z","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":"2026-08-09T20:54:00.266832Z","title":"Journal of Computing in Civil Engineering 36, 5 (2022), 04022024","venue":null,"work_id":"06c3d9ef-0fb1-4b65-8d68-a1ef17425e4a","year":2022},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.313930Z"},"links":{"citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:8b1bc0485931996ee38d62a61f620a8e7fe238c131533a36c9aaa7de59bcd294","observation_id":"9c071580-ccda-4fe4-90dd-069e19be22d6","resolution":{"observed_at":"2026-08-09T20:54:00.271311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01425","last_updated":"2024-07-01T16:14:37Z","snapshot_observed_at":"2026-08-10T02:17:37.226197Z","submitted_at":"2024-07-01T16:14:37Z","title":"FORA: Fast-Forward Caching in Diffusion Transformer Acceleration","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.01425","snapshot_observed_at":"2026-08-09T20:53:59.449486Z","title":"arXiv preprint arXiv:2407.01425 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache","version":3},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-09T20:53:59.449486Z"},"links":{"cited_paper":"/paper/2407.01425","citing_paper":"/paper/2501.19243"},"observation_digest":"sha256:0c1a5308c4ef6c4ab1f06ac219c045647ffaaca6065f3604835eadb6be87cbb5","observation_id":"2bb5c5d8-b8ad-4833-a378-f1356340d7c6","resolution":{"observed_at":"2026-08-09T20:53:59.449486Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2501.19243","last_updated":"2025-07-18T01:49:36Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T02:18:16.624142Z","submitted_at":"2025-01-31T15:58:15Z","title":"Accelerating Diffusion Transformer via Error-Optimized Cache"},"reference_resolution":{"displayed":63,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":58,"verified_exact":0,"verified_fuzzy":5},"total_outbound_references":63},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 1 inbound Pith citation observation for arXiv:2501.19243."}