{"as_of":"2026-08-23T02:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4816b8518e8f942c0696b448ac913d723cd184337577b52425e51603e0a66d74","coverage":[{"denominator":79,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":79,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:19:02.099567Z","state":"measured"},{"denominator":79,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":79,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"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":[],"links":{"evidence":"/evidence","html":"/paper/2506.03275/citation-record","integrity":"/paper/2506.03275/integrity","json":"/paper/2506.03275/citation-record.json","paper":"/paper/2506.03275"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.18668","last_updated":"2025-03-07T18:57:52Z","snapshot_observed_at":"2026-08-16T14:14:23.399336Z","submitted_at":"2024-02-28T19:28:27Z","title":"Simple linear attention language models balance the recall-throughput tradeoff","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.18668","snapshot_observed_at":"2026-08-07T11:18:52.432175Z","title":"Arora, S","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:52.432175Z"},"links":{"cited_paper":"/paper/2402.18668","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:1bbe0b314563c4b8574afb8466bab45bf11556457885d2688ed24310608b7d2a","observation_id":"909f674c-1860-4a12-9813-a4ee70a86ada","resolution":{"observed_at":"2026-08-07T11:18:52.432175Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.15343","last_updated":"2021-10-28T17:52:17Z","snapshot_observed_at":"2026-08-20T18:10:37.886533Z","submitted_at":"2021-10-28T17:52:17Z","title":"Scatterbrain: Unifying Sparse and Low-rank Attention Approximation","version":1},"cited_work":{"arxiv_id":"2110.15343","doi":null,"metadata_source":"pith","pith_arxiv_id":"2110.15343","snapshot_observed_at":"2026-08-07T11:19:03.508899Z","title":"Scatterbrain: Unifying Sparse and Low-rank Attention Approximation","venue":"cs.LG","work_id":"db6a3f13-e360-499b-a13f-c1eec9f6ccb3","year":2021},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:52.542560Z"},"links":{"cited_paper":"/paper/2110.15343","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:ac1c8ad4511317bc6bb9cb0fb3de9c26308adc447f007fcd0ef712206a6cc819","observation_id":"68580470-56e1-4957-9b3f-4b3379dad0c9","resolution":{"observed_at":"2026-08-07T11:19:03.594224Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-07T11:19:10.134262Z","title":null,"venue":null,"work_id":"e7486ea1-8691-4e47-a4ef-e18e026b0639","year":2023},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:52.684013Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:f9bce91f539d386b174940c80f702fe20e7aaf5870e395638ff5957a85bd6ee7","observation_id":"e44a1581-d2ba-402f-a1b3-8028b9492a49","resolution":{"observed_at":"2026-08-07T11:19:10.207746Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01125","last_updated":"2024-06-03T09:10:44Z","snapshot_observed_at":"2026-08-16T13:46:50.271264Z","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":"2026-08-07T11:18:52.841884Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:52.841884Z"},"links":{"cited_paper":"/paper/2406.01125","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:0388b2945e0cb10c6d8bfd751bf16dd0d187907a4b8d5c62177d4eca606c8fb6","observation_id":"3448aa40-f945-43f3-8e54-2b06e877835d","resolution":{"observed_at":"2026-08-07T11:18:52.841884Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.12307","last_updated":"2024-03-08T15:26:38Z","snapshot_observed_at":"2026-08-21T20:26:05.918210Z","submitted_at":"2023-09-21T17:59:11Z","title":"LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.12307","snapshot_observed_at":"2026-08-07T11:18:52.942707Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:52.942707Z"},"links":{"cited_paper":"/paper/2309.12307","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:88ac3cf2d8e074d50d280fe20c52a4476e673fb16a2430ca5b0d60cbe09ed6de","observation_id":"701343c8-8e07-4422-ab2c-0affaff7fff2","resolution":{"observed_at":"2026-08-07T11:18:52.942707Z","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":"2026-08-07T11:18:53.075457Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:53.075457Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:031260092c23c3976093b31382d51f28f147aabe73ac0218b6bf91506c74bfdc","observation_id":"88b4fc5b-e5bf-44e1-ae4a-18b12083524f","resolution":{"observed_at":"2026-08-07T11:18:53.075457Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.14794","last_updated":"2022-11-19T12:45:21Z","snapshot_observed_at":"2026-08-12T04:58:34.201421Z","submitted_at":"2020-09-30T17:09:09Z","title":"Rethinking Attention with Performers","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.14794","snapshot_observed_at":"2026-08-07T11:18:53.201136Z","title":"Choromanski, V","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:53.201136Z"},"links":{"cited_paper":"/paper/2009.14794","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:6c15da9797dd0dbce5c8ceb7d99bf9d306d082cfe77e94d190efda12e9b8df1d","observation_id":"081c80fe-9273-4708-b3f5-aa2ffc79b9fb","resolution":{"observed_at":"2026-08-07T11:18:53.201136Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.14135","last_updated":"2022-06-23T17:53:32Z","snapshot_observed_at":"2026-07-06T13:14:48.753329Z","submitted_at":"2022-05-27T17:53:09Z","title":"FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.14135","snapshot_observed_at":"2026-08-07T11:18:53.336792Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:53.336792Z"},"links":{"cited_paper":"/paper/2205.14135","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:5ef9507d0c6785c53bdc87674e346559b27e417279565bd56e68e082dfd739fc","observation_id":"c6a14fac-7a0c-443f-9837-3cf729bf6001","resolution":{"observed_at":"2026-08-07T11:18:53.336792Z","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":"2026-08-07T11:19:09.992496Z","title":"Dosovitskiy, L","venue":null,"work_id":"709024e9-e93a-4fa8-b4bd-3caef3229ea7","year":2021},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:53.439228Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:8c5fe02f34c5c3c65d7205c2468951178cd4abf2488a6e1daf6e7b71609db5bd","observation_id":"39aa99dd-16a5-44e0-a595-604cc74e0c63","resolution":{"observed_at":"2026-08-07T11:19:10.056374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-07T11:18:53.564468Z","title":"Elhage, N","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:53.564468Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:a3f0b89ad88c3b0a61e033fd51eb3513267b2521ebb053e9f33c1628954f4ea2","observation_id":"6319b236-a3be-43da-b25a-2dcdf0a0de53","resolution":{"observed_at":"2026-08-07T11:18:53.564468Z","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":"2026-08-07T11:19:09.727237Z","title":"Esser, S","venue":null,"work_id":"f33b1642-aa39-4ef1-b5c0-28abc8fd8fdb","year":2024},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:53.815459Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:4de36dca76102fe20bf7ff49fe982d17c12002de31174813467c2d5eb09096b1","observation_id":"40f4532d-d86b-491d-9867-7689d82c6f17","resolution":{"observed_at":"2026-08-07T11:19:09.846606Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.03961","last_updated":"2022-06-16T20:36:07Z","snapshot_observed_at":"2026-08-14T22:45:56.335948Z","submitted_at":"2021-01-11T16:11:52Z","title":"Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.03961","snapshot_observed_at":"2026-08-07T11:18:53.949183Z","title":"Fedus, B","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:53.949183Z"},"links":{"cited_paper":"/paper/2101.03961","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:2d6e6fc624e0c8d0313602424c0958a82a71b9612fc2c91f6d6d03b943fad839","observation_id":"d302cd48-d9b2-43b0-9865-f3e4cda3d304","resolution":{"observed_at":"2026-08-07T11:18:53.949183Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.05171","last_updated":"2025-02-17T17:14:04Z","snapshot_observed_at":"2026-08-15T00:53:48.099058Z","submitted_at":"2025-02-07T18:55:02Z","title":"Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.05171","snapshot_observed_at":"2026-08-07T11:18:54.086489Z","title":"Geiping, S","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:54.086489Z"},"links":{"cited_paper":"/paper/2502.05171","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:f2222c669dcca17e6f6277f4dc58eb50f6b06a0d21581c75ac20d438bba84bca","observation_id":"2f7d07d0-d8a0-445f-99eb-18390b4adce6","resolution":{"observed_at":"2026-08-07T11:18:54.086489Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.11513","last_updated":"2023-10-17T18:20:03Z","snapshot_observed_at":"2026-08-16T14:51:16.293174Z","submitted_at":"2023-10-17T18:20:03Z","title":"GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.11513","snapshot_observed_at":"2026-08-07T11:18:54.185851Z","title":"Ghosh, H","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:54.185851Z"},"links":{"cited_paper":"/paper/2310.11513","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:a2e6b631480e6cd6bf2ca223fba20a081d5d5c8d6af8e9cdff7b5b44c93510e7","observation_id":"876f5a34-4faf-4fd0-a24b-2f26d7cae511","resolution":{"observed_at":"2026-08-07T11:18:54.185851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.11239","last_updated":"2020-12-16T21:15:05Z","snapshot_observed_at":"2026-08-10T05:21:27.485481Z","submitted_at":"2020-06-19T17:24:44Z","title":"Denoising Diffusion Probabilistic Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.11239","snapshot_observed_at":"2026-08-07T11:18:54.316199Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:54.316199Z"},"links":{"cited_paper":"/paper/2006.11239","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:54e0ab177d0962c2c53194fad3586d43846c9bf31248d4ff1cfa24357852630d","observation_id":"bf5ed4a5-439b-452c-8524-595bf2222b58","resolution":{"observed_at":"2026-08-07T11:18:54.316199Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.15868","last_updated":"2022-05-29T19:02:15Z","snapshot_observed_at":"2026-08-12T19:21:15.526321Z","submitted_at":"2022-05-29T19:02:15Z","title":"CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.15868","snapshot_observed_at":"2026-08-07T11:18:54.424272Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:54.424272Z"},"links":{"cited_paper":"/paper/2205.15868","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:0e37f1bfa3abbb9cdc1145c75c3ec10e1f43da2de3a6e8026fc0f5645b317a43","observation_id":"69da6a2e-1d9a-49fc-99dc-95f3c79567f1","resolution":{"observed_at":"2026-08-07T11:18:54.424272Z","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":"2026-08-07T11:19:09.526180Z","title":"Huang, Y","venue":null,"work_id":"711c7ad2-07bf-4e23-89fe-a46b8886f11e","year":2023},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:54.541062Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:aeb7cf65100a9033ae10d4396868d032128fb996ae46edc5a4b2341bf8aff316","observation_id":"27edcd7b-4075-4943-9e6e-e3064f17c998","resolution":{"observed_at":"2026-08-07T11:19:09.608823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04088","last_updated":"2024-01-08T18:47:34Z","snapshot_observed_at":"2026-08-13T19:43:49.936776Z","submitted_at":"2024-01-08T18:47:34Z","title":"Mixtral of Experts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04088","snapshot_observed_at":"2026-08-07T11:18:54.704879Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:54.704879Z"},"links":{"cited_paper":"/paper/2401.04088","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:e65ee12f9d290021c2ff7fd5c5b2aa1dbed0bfa8a31c419a624c1a40bec97c7e","observation_id":"19c2b731-3390-413f-92d1-d170719079a7","resolution":{"observed_at":"2026-08-07T11:18:54.704879Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.02397","last_updated":"2024-11-07T17:06:32Z","snapshot_observed_at":"2026-08-18T07:57:54.394259Z","submitted_at":"2024-11-04T18:59:44Z","title":"Adaptive Caching for Faster Video Generation with Diffusion Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.02397","snapshot_observed_at":"2026-08-07T11:18:54.856992Z","title":"Kahatapitiya, H","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:54.856992Z"},"links":{"cited_paper":"/paper/2411.02397","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:faf8d607b637d00ccddfab052bef6070e61bcbceef3f646a828ef135cd6da9a5","observation_id":"87985634-d9f3-4454-9cca-b11c613945f4","resolution":{"observed_at":"2026-08-07T11:18:54.856992Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2001.04451","last_updated":"2020-02-18T16:01:18Z","snapshot_observed_at":"2026-07-06T08:50:12.690900Z","submitted_at":"2020-01-13T18:38:28Z","title":"Reformer: The Efficient Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.04451","snapshot_observed_at":"2026-08-07T11:18:54.965660Z","title":"Kitaev, Łukasz Kaiser, and A","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:54.965660Z"},"links":{"cited_paper":"/paper/2001.04451","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:87b4edeec9b463544587eede2e827b5f7384fd2d85a62e04c1a3581de77d9f97","observation_id":"f355f5eb-e9b0-437f-a7d8-a947196d1035","resolution":{"observed_at":"2026-08-07T11:18:54.965660Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.03603","last_updated":"2025-03-11T08:14:25Z","snapshot_observed_at":"2026-08-17T07:44:10.213698Z","submitted_at":"2024-12-03T23:52:37Z","title":"HunyuanVideo: A Systematic Framework For Large Video Generative Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.03603","snapshot_observed_at":"2026-08-07T11:18:55.076151Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:55.076151Z"},"links":{"cited_paper":"/paper/2412.03603","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:81539b39adf193826a66c23e65ee01f0b75396614a2323990236b81dbfcc67c1","observation_id":"3da89113-8641-4a77-b986-cf930adcb6a7","resolution":{"observed_at":"2026-08-07T11:18:55.076151Z","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":"2026-08-07T11:18:55.202024Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:55.202024Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:16764c7771fc4442966e62105c3d3628eb86b13d18669fc08d082d84cadf9337","observation_id":"2a136c6c-495e-451c-8796-a60dda6a7ab7","resolution":{"observed_at":"2026-08-07T11:18:55.202024Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1404.2022","last_updated":"2014-04-08T06:50:36Z","snapshot_observed_at":"2026-08-14T23:38:18.454638Z","submitted_at":"2014-04-08T06:50:36Z","title":"Neutrino Production via $e^-e^+$ Collision at $Z$-boson Peak","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1404.2022","snapshot_observed_at":"2026-08-07T11:18:55.302165Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:55.302165Z"},"links":{"cited_paper":"/paper/1404.2022","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:0b17d163e308ac31e187b3ac271a4d5b5c5c35c12593150c9762d92311c42b0f","observation_id":"97773021-1266-4c5e-970d-306d6692fc26","resolution":{"observed_at":"2026-08-07T11:18:55.302165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.06313","last_updated":"2023-06-09T21:53:43Z","snapshot_observed_at":"2026-08-17T05:19:24.411013Z","submitted_at":"2022-10-12T15:25:19Z","title":"The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.06313","snapshot_observed_at":"2026-08-07T11:18:55.401359Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:55.401359Z"},"links":{"cited_paper":"/paper/2210.06313","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:b0e9c5d96adc9686d96235180565fa595535bb5807ccc016c0f1aa885f03c43e","observation_id":"b24b53d3-2be6-4049-9464-06003532ee3f","resolution":{"observed_at":"2026-08-07T11:18:55.401359Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1405.0312","last_updated":"2015-02-21T01:48:49Z","snapshot_observed_at":"2026-08-21T02:14:04.953864Z","submitted_at":"2014-05-01T21:43:32Z","title":"Microsoft COCO: Common Objects in Context","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.0312","snapshot_observed_at":"2026-08-07T11:18:55.535293Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:55.535293Z"},"links":{"cited_paper":"/paper/1405.0312","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:0056707ba83f1e5c825914c8779effb3118d4c6b97b2a56952966a71c12b00f4","observation_id":"fccf525c-a114-4388-911a-a9426ecd62f6","resolution":{"observed_at":"2026-08-07T11:18:55.535293Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.19108","last_updated":"2025-03-18T04:49:23Z","snapshot_observed_at":"2026-08-20T02:52:16.678339Z","submitted_at":"2024-11-28T12:50:05Z","title":"Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.19108","snapshot_observed_at":"2026-08-07T11:18:55.668103Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:55.668103Z"},"links":{"cited_paper":"/paper/2411.19108","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:b1b2a2eee94e72eafcc1db5a512e50ef5cb5638ce9ee1edeccda55aa907f68fa","observation_id":"0efc2303-dfbe-482c-8e56-0c3042dfc67e","resolution":{"observed_at":"2026-08-07T11:18:55.668103Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.14690","last_updated":"2025-02-25T21:00:50Z","snapshot_observed_at":"2026-08-18T15:24:37.105582Z","submitted_at":"2024-08-26T23:30:15Z","title":"Training-Free Activation Sparsity in Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.14690","snapshot_observed_at":"2026-08-07T11:18:55.783751Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:55.783751Z"},"links":{"cited_paper":"/paper/2408.14690","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:6174926624c2a7ee1ab5723c702ac72aee06ecdb90dc76185cedc0eb7012ef7c","observation_id":"53c31b0e-e25b-49dc-9b1a-8400deddb2fc","resolution":{"observed_at":"2026-08-07T11:18:55.783751Z","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":"2026-08-07T11:19:09.308111Z","title":null,"venue":null,"work_id":"e265172b-ba5b-4453-817a-0ec94421f4c3","year":2022},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:55.887179Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:d138b20a3129b457284afdbe5b2d60f0f9211d42905955370a66d7db9cbb3ce3","observation_id":"2a3f23ab-fed3-444c-936b-e791fc551309","resolution":{"observed_at":"2026-08-07T11:19:09.401245Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.17157","last_updated":"2023-10-26T05:01:09Z","snapshot_observed_at":"2026-08-20T03:30:04.742238Z","submitted_at":"2023-10-26T05:01:09Z","title":"Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.17157","snapshot_observed_at":"2026-08-07T11:18:55.972218Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:55.972218Z"},"links":{"cited_paper":"/paper/2310.17157","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:88e077c07f83fe0196e4d77b45720247f1edfc7cc06b3c33e9f28ef9e437535b","observation_id":"30406202-eeaa-44f6-9156-c8e96cfa1d96","resolution":{"observed_at":"2026-08-07T11:18:55.972218Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.00927","last_updated":"2022-10-13T12:04:36Z","snapshot_observed_at":"2026-08-20T12:54:48.114323Z","submitted_at":"2022-06-02T08:43:16Z","title":"DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.00927","snapshot_observed_at":"2026-08-07T11:18:56.132180Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:56.132180Z"},"links":{"cited_paper":"/paper/2206.00927","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:1f64820f097724d840ff505a959378a2d7ce103db4c39ba2e98723624048edd5","observation_id":"2056005d-2485-422f-ae3a-b6132a1be928","resolution":{"observed_at":"2026-08-07T11:18:56.132180Z","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":"document/1057925","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:19:02.915746Z","title":null,"venue":null,"work_id":"441ce43f-219e-4abd-98a6-2551dd6ad762","year":2024},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:56.240210Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:986fbae53f913ebcce46f8410b83b6cd9e648d73b4398f6f8ce312b1cd6ebfd6","observation_id":"2a12f13b-3e82-4be8-a527-a0b7832c054a","resolution":{"observed_at":"2026-08-07T11:19:03.013000Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-07T11:19:09.052011Z","title":null,"venue":null,"work_id":"6d1ef215-780d-4332-a670-10e9e1ff9f66","year":2024},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:56.369970Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:ec3819d49026aa2b596ee659dcf4acc91731a772e5649282c9ba64cc1a187091","observation_id":"5a67eb12-4680-4e1e-a096-984f89405024","resolution":{"observed_at":"2026-08-07T11:19:09.160298Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-07T11:19:08.824310Z","title":"Gpu performance background user’s guide, 2024","venue":null,"work_id":"fc67da18-2457-43da-9586-5decd85388d2","year":2024},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:56.477214Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:69b9cfbf2649514d160a556d104ae35b9ae113399a4a8b8c9f6cd2f1faa1841c","observation_id":"f2167eba-8047-4d43-ad4c-6f7467eeaf7e","resolution":{"observed_at":"2026-08-07T11:19:08.945052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-07T11:19:08.610313Z","title":"Peebles and S","venue":null,"work_id":"78d040dd-c840-4009-81af-351810cfaeba","year":2023},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:56.610863Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:0fff56610a20b7e070fbc5e00cb29fc21265385b25911c9311580e999f45a488","observation_id":"b275231b-5d10-4b82-a347-8e7567df1b3c","resolution":{"observed_at":"2026-08-07T11:19:08.694388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.00020","last_updated":"2021-02-26T19:04:58Z","snapshot_observed_at":"2026-07-06T10:45:03.059688Z","submitted_at":"2021-02-26T19:04:58Z","title":"Learning Transferable Visual Models From Natural Language Supervision","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.00020","snapshot_observed_at":"2026-08-07T11:18:56.733736Z","title":"Radford, J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:56.733736Z"},"links":{"cited_paper":"/paper/2103.00020","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:b72b164d13b25ba017f801eacac67e9952ec3f1e3e5725d95977471ecda87862","observation_id":"d6e93b14-6022-4db6-b427-f1088d29d8f8","resolution":{"observed_at":"2026-08-07T11:18:56.733736Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.00512","last_updated":"2022-06-07T09:17:35Z","snapshot_observed_at":"2026-08-12T01:14:44.484432Z","submitted_at":"2022-02-01T16:07:25Z","title":"Progressive Distillation for Fast Sampling of Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.00512","snapshot_observed_at":"2026-08-07T11:18:56.882796Z","title":"Salimans and J","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:56.882796Z"},"links":{"cited_paper":"/paper/2202.00512","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:9a37e86f0065bd6d689f1880b1dbb59b9d0a95f0921d59fdd5b8c6e44e885c41","observation_id":"0f450d3b-48f0-4df1-91ec-df35e2a06dfe","resolution":{"observed_at":"2026-08-07T11:18:56.882796Z","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":"2026-08-07T11:19:08.416329Z","title":"Magi-1: Autoregressive video generation at scale, 2025","venue":null,"work_id":"40be5f0f-b92a-409b-93f4-dd04eb419a4b","year":2025},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:56.991729Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:6740e18b138becad14d976b7cbe89df7977679395446de91246ce640b220a454","observation_id":"0fce47ec-fc6a-4d66-923f-eb89fb9e19e1","resolution":{"observed_at":"2026-08-07T11:19:08.500605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-07T11:19:08.224023Z","title":null,"venue":null,"work_id":"0888d15a-1002-4f8f-b9ce-bd0cf078ea22","year":2024},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:57.115735Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:84efc1c37a9a6be490469e3f19d249bcb174f8d781ab3f709146c8fe21040b4a","observation_id":"c23c1656-c085-433d-abc8-c69e2bc6ac8b","resolution":{"observed_at":"2026-08-07T11:19:08.318522Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1701.06538","last_updated":"2017-01-23T18:10:00Z","snapshot_observed_at":"2026-08-19T12:32:00.517027Z","submitted_at":"2017-01-23T18:10:00Z","title":"Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1701.06538","snapshot_observed_at":"2026-08-07T11:18:57.282605Z","title":"Shazeer, A","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:57.282605Z"},"links":{"cited_paper":"/paper/1701.06538","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:c9694471549c9e94611a06c1418caddecee0ae685fc6ff5039e62e5d2210b080","observation_id":"45e439a1-31d6-49f3-8c37-3ef2d6178fac","resolution":{"observed_at":"2026-08-07T11:18:57.282605Z","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":"2026-08-07T11:19:07.956632Z","title":"Sohl-Dickstein, E","venue":null,"work_id":"0009a3a5-28ff-45fb-8837-22b53e3ffc5f","year":2015},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:57.400017Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:dfe55eb9c481e6bfa5014d9b334543e3cbb0c0d3899593a8dd155650b9c29ec7","observation_id":"2a16d70f-853f-42d3-8d37-35c7aeb6543e","resolution":{"observed_at":"2026-08-07T11:19:08.103517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-08-11T15:38:14.931716Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-07T11:18:57.508343Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:57.508343Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:76d45288290a0fbc9627ff90c32f8fd2145e591ef1bc3c5a8908f1fa3b229fde","observation_id":"e41a7a81-57a0-42e7-b8bb-7c1076066171","resolution":{"observed_at":"2026-08-07T11:18:57.508343Z","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":"2026-08-07T11:19:07.709695Z","title":null,"venue":null,"work_id":"51c96ff7-5a5d-4638-ab09-f89b69e4a54d","year":2023},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:57.656993Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:da3f51b64efdeaa20fc87a06f2f66befb1f142f229305239ba2e4f75076e22f5","observation_id":"e4209af1-61e3-4049-8523-22fcff1d6029","resolution":{"observed_at":"2026-08-07T11:19:07.797825Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-07T11:19:07.507170Z","title":null,"venue":null,"work_id":"b4a82470-4f8f-45ea-a9e4-bde412f92c81","year":2024},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:57.779017Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:693bd6dd2949ee37a6f8c9904cce97f9482842e5b2367116e5ca495a95a1f9cb","observation_id":"f12abf0f-d5b1-4c46-a7e2-f5ff9c8f26a2","resolution":{"observed_at":"2026-08-07T11:19:07.603809Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.13588","last_updated":"2024-11-18T02:49:23Z","snapshot_observed_at":"2026-08-20T04:50:43.660089Z","submitted_at":"2024-11-18T02:49:23Z","title":"Unveiling Redundancy in Diffusion Transformers (DiTs): A Systematic Study","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.13588","snapshot_observed_at":"2026-08-07T11:18:57.902858Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:57.902858Z"},"links":{"cited_paper":"/paper/2411.13588","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:8a8f14fa3246ebaf93f9518f41a41037a9f90a14c6b9d236e1cd8c9eae1fca97","observation_id":"b5048f61-9aa4-4270-b5be-2a4cd4c02027","resolution":{"observed_at":"2026-08-07T11:18:57.902858Z","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":"2026-08-07T11:18:58.032378Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:58.032378Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:7d9c088206f4304e51b4f33f1f969b1c61c5d6d18abee1bbb5ef7344b36ee8c9","observation_id":"6b99ecac-ec73-4541-b145-9003cd115e21","resolution":{"observed_at":"2026-08-07T11:18:58.032378Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.10774","last_updated":"2024-08-26T21:01:02Z","snapshot_observed_at":"2026-08-19T19:59:53.494904Z","submitted_at":"2024-06-16T01:33:02Z","title":"Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.10774","snapshot_observed_at":"2026-08-07T11:18:58.173750Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:58.173750Z"},"links":{"cited_paper":"/paper/2406.10774","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:87e7a7bc363d74a06a5e93d999328145a165bd53aec22fd7c020566b48c32625","observation_id":"7651a399-b635-4ff9-805d-ee485675ece7","resolution":{"observed_at":"2026-08-07T11:18:58.173750Z","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":"2026-08-07T11:18:58.280459Z","title":"Tillet, H","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:58.280459Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:10efd3a0fc9f30beffd44ed795469191ce7531180c3eff70df00908b3adcf12a","observation_id":"83d6f5b9-07d9-4888-b9c9-86b183cc340e","resolution":{"observed_at":"2026-08-07T11:18:58.280459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.03762","last_updated":"2023-08-02T00:41:18Z","snapshot_observed_at":"2026-08-19T04:42:40.974785Z","submitted_at":"2017-06-12T17:57:34Z","title":"Attention Is All You Need","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.03762","snapshot_observed_at":"2026-08-07T11:18:58.404074Z","title":"Vaswani, N","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:58.404074Z"},"links":{"cited_paper":"/paper/1706.03762","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:990213cb5dbaa913f8b6db76e458fbacb4bccb9da951ea1eaa0bbfad5c9f71bc","observation_id":"490457eb-4812-4f71-bfa5-7e2d7f71487d","resolution":{"observed_at":"2026-08-07T11:18:58.404074Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.04768","last_updated":"2020-06-14T08:15:54Z","snapshot_observed_at":"2026-07-06T09:27:03.809621Z","submitted_at":"2020-06-08T17:37:52Z","title":"Linformer: Self-Attention with Linear Complexity","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.04768","snapshot_observed_at":"2026-08-07T11:18:58.541753Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:58.541753Z"},"links":{"cited_paper":"/paper/2006.04768","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:07a1c6447a426e426ecf3dfe4e0161403c341ceff09869524cffd042cb4934a9","observation_id":"95ec2472-0c4e-4a31-bf9e-42f173357ddf","resolution":{"observed_at":"2026-08-07T11:18:58.541753Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03209","last_updated":"2024-01-12T09:26:45Z","snapshot_observed_at":"2026-08-16T14:37:18.669386Z","submitted_at":"2023-12-06T00:51:38Z","title":"Cache Me if You Can: Accelerating Diffusion Models through Block Caching","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.03209","snapshot_observed_at":"2026-08-07T11:18:58.686561Z","title":"Wimbauer, B","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:58.686561Z"},"links":{"cited_paper":"/paper/2312.03209","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:e5d8aea59c532def6fdb7db707f82a80718da855766c816d98dac875b2cc1d1f","observation_id":"84c003ee-3f0d-4007-9fb8-cc796a652472","resolution":{"observed_at":"2026-08-07T11:18:58.686561Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.01776","last_updated":"2025-04-27T00:10:11Z","snapshot_observed_at":"2026-08-16T05:47:34.106216Z","submitted_at":"2025-02-03T19:29:16Z","title":"Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.01776","snapshot_observed_at":"2026-08-07T11:18:58.832753Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:58.832753Z"},"links":{"cited_paper":"/paper/2502.01776","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:52daace320f311aeaf22f1b8c29b8ed411dc7f0681fc00c929c4237b5a333f73","observation_id":"0f8e8662-d508-44ac-99ac-8055f127d9e2","resolution":{"observed_at":"2026-08-07T11:18:58.832753Z","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":"2026-08-07T11:19:07.299587Z","title":null,"venue":null,"work_id":"79070460-dcd8-4b7a-94f9-c684a6b878ea","year":null},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:58.954835Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:31343c204a51c20d707309e814d86d4e3e98900102c0ec782f4c6091f309818d","observation_id":"b221630c-a68e-4e39-b9a7-32f262e0f5e4","resolution":{"observed_at":"2026-08-07T11:19:07.380937Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16428","last_updated":"2025-03-20T17:59:58Z","snapshot_observed_at":"2026-08-16T12:48:10.527009Z","submitted_at":"2025-03-20T17:59:58Z","title":"XAttention: Block Sparse Attention with Antidiagonal Scoring","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.16428","snapshot_observed_at":"2026-08-07T11:18:59.278775Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:59.278775Z"},"links":{"cited_paper":"/paper/2503.16428","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:e657a0a5d8e7f8631909e8554e2bf7acdbef8b6ed81b15562c76c164ae94ea6c","observation_id":"04a66b84-6fad-4036-95ad-55ee79f3e028","resolution":{"observed_at":"2026-08-07T11:18:59.278775Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10356","last_updated":"2024-10-31T12:49:09Z","snapshot_observed_at":"2026-08-17T13:00:27.321507Z","submitted_at":"2024-10-14T10:17:24Z","title":"FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10356","snapshot_observed_at":"2026-08-07T11:18:59.416091Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:59.416091Z"},"links":{"cited_paper":"/paper/2410.10356","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:5b4d18a8bd2960d03fb8c846c852df4490675aa44757e1bfb9cc1ec03fdd1832","observation_id":"b9bcafd8-8fa9-443b-8de4-4132e87f51da","resolution":{"observed_at":"2026-08-07T11:18:59.416091Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.01005","last_updated":"2025-04-21T20:10:11Z","snapshot_observed_at":"2026-08-21T18:22:14.256546Z","submitted_at":"2025-01-02T02:02:20Z","title":"FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.01005","snapshot_observed_at":"2026-08-07T11:18:59.564896Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:59.564896Z"},"links":{"cited_paper":"/paper/2501.01005","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:54d96825fdcb766b824b5e5d2d0bc6b6eab6921a043c2a0eaec80196e222bfce","observation_id":"da325632-1d83-42d4-9402-df7730f34b83","resolution":{"observed_at":"2026-08-07T11:18:59.564896Z","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":"2026-08-07T11:19:06.847472Z","title":null,"venue":null,"work_id":"28507aa7-cf9f-4935-b801-75628ed852df","year":null},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:59.657893Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:2d02135da5f256f3ce52400ade8d8056a9ab771b2ade18ec0ea85d87134cdc0e","observation_id":"1fe39798-b4f2-4ff2-a4a6-3e669e6fcf8c","resolution":{"observed_at":"2026-08-07T11:19:06.977886Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.14062","last_updated":"2021-01-08T07:41:50Z","snapshot_observed_at":"2026-08-10T19:17:03.595450Z","submitted_at":"2020-07-28T08:34:04Z","title":"Big Bird: Transformers for Longer Sequences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.14062","snapshot_observed_at":"2026-08-07T11:18:59.919334Z","title":"Zaheer, G","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:59.919334Z"},"links":{"cited_paper":"/paper/2007.14062","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:d72115fe499bb44f89c3b6600164a267ffae9a532a9d32aad8be72afa912ced9","observation_id":"8137d909-1eaf-4b92-be5d-7d987b33ce89","resolution":{"observed_at":"2026-08-07T11:18:59.919334Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.00375","last_updated":"2024-12-31T09:56:40Z","snapshot_observed_at":"2026-08-12T14:26:38.597825Z","submitted_at":"2024-12-31T09:56:40Z","title":"Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.00375","snapshot_observed_at":"2026-08-07T11:19:00.007545Z","title":"Zhang, B","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T11:19:00.007545Z"},"links":{"cited_paper":"/paper/2501.00375","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:bc86b90e40cbc29daa818c5eefa4b69c3864d06955d9865d347ddf10d054016e","observation_id":"3e8cb8b3-f644-4b11-9deb-319e33555506","resolution":{"observed_at":"2026-08-07T11:19:00.007545Z","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":"2026-08-07T11:19:00.118035Z","title":"Zhang, J","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T11:19:00.118035Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:80e089ff47728951e4391dbdf068fab710bf2533e85569dfe831ad77a14fbcee","observation_id":"7b6a8990-1850-49db-a971-b08bd1203980","resolution":{"observed_at":"2026-08-07T11:19:00.118035Z","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":"2026-08-07T11:19:06.396211Z","title":"Zhang and K","venue":null,"work_id":"1c50e6a0-55b8-404c-9c6f-c9b6ce63adb3","year":null},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T11:19:00.254535Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:ddae170987e895a971e3a7088f72cdbf5f89bba3b3e8fca934c30d34e53034ee","observation_id":"376eee52-8ba0-4cd5-8d4c-71df2518cff2","resolution":{"observed_at":"2026-08-07T11:19:06.489520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.04507","last_updated":"2025-06-04T23:21:39Z","snapshot_observed_at":"2026-08-17T20:33:39.027283Z","submitted_at":"2025-02-06T21:17:09Z","title":"Fast Video Generation with Sliding Tile Attention","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.04507","snapshot_observed_at":"2026-08-07T11:19:00.501688Z","title":"Zhang, Y","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T11:19:00.501688Z"},"links":{"cited_paper":"/paper/2502.04507","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:176108c66a16866b6cf846bedf75efa629b87f0e9450513b18751397bb8e4667","observation_id":"707cf043-9ef6-4e0d-9ae1-efe4b2d110b3","resolution":{"observed_at":"2026-08-07T11:19:00.501688Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20404","last_updated":"2024-12-29T08:52:49Z","snapshot_observed_at":"2026-08-20T23:16:18.586164Z","submitted_at":"2024-12-29T08:52:49Z","title":"Open-Sora: Democratizing Efficient Video Production for All","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.20404","snapshot_observed_at":"2026-08-07T11:19:00.596422Z","title":"Zheng, X","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T11:19:00.596422Z"},"links":{"cited_paper":"/paper/2412.20404","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:9f803fad32007bd24b1932807e051e61dc6bc49a222204efc883d2108d1b89b9","observation_id":"bb45dd51-9327-4822-9d48-e67ae389ae4c","resolution":{"observed_at":"2026-08-07T11:19:00.596422Z","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":"2026-08-07T11:19:00.731478Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T11:19:00.731478Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:875ee02be141bf593b6237760e111755b9d84d751550eade4c2be5041ec5cd5e","observation_id":"70705e1b-680d-440b-b64b-2d1d57f1e385","resolution":{"observed_at":"2026-08-07T11:19:00.731478Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04191","last_updated":"2024-10-05T15:10:04Z","snapshot_observed_at":"2026-08-16T13:12:19.093971Z","submitted_at":"2024-10-05T15:10:04Z","title":"Accelerating Diffusion Models with One-to-Many Knowledge Distillation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.04191","snapshot_observed_at":"2026-08-07T11:19:00.386463Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T11:19:00.386463Z"},"links":{"cited_paper":"/paper/2410.04191","citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:e90a899a865ebe326f54ec8030500c93b009b3ca511f587a48a1a2fd3cfdfe84","observation_id":"c7d8afb8-f7a0-45f5-b2a4-57e2da39f9d6","resolution":{"observed_at":"2026-08-07T11:19:00.386463Z","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":"2026-08-07T11:19:06.160943Z","title":"read\" of the residual stream to compute scale and shift factors, (2) a distributive","venue":null,"work_id":"3ecb0af0-e4ce-471f-9933-de0b649ad945","year":2025},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T11:19:00.836218Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:2d62efd533c789fdf4897834c4bea3b02b8688773da05091e36447e4b2598b77","observation_id":"92f8b468-31e2-4a26-aaf2-3a7ecbbb77ac","resolution":{"observed_at":"2026-08-07T11:19:06.279997Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-07T11:19:05.937670Z","title":null,"venue":null,"work_id":"b72b5e80-b1b7-466b-8cce-bd1539e45909","year":null},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T11:19:00.935777Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:5cd4659d74b761d57d50eb5e1425d2e41afdd8e590d3eef120047e977e7f3efa","observation_id":"ba8c6fed-2541-4ecb-9bda-7ba89a49d823","resolution":{"observed_at":"2026-08-07T11:19:06.041669Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-07T11:19:05.687040Z","title":null,"venue":null,"work_id":"1d8673a6-08c7-4360-88c5-1568e7c9f6e0","year":null},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T11:19:00.991146Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:4828c536bd4d502c6b17105a20a916a942d3a9604a32af027db7399a2f9ebd84","observation_id":"7827ee65-24cc-4ac5-8201-cffffee23f4a","resolution":{"observed_at":"2026-08-07T11:19:05.808822Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-07T11:19:05.452198Z","title":null,"venue":null,"work_id":"546334fd-b96c-4fea-b969-e428f5372f0f","year":null},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T11:19:01.123647Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:e94971698dfb522acb1ede06cd4c8aa0c94687fe1e322c2c8943a892c45c1884","observation_id":"b019cec4-bdc7-4000-8a6b-e692c497c6db","resolution":{"observed_at":"2026-08-07T11:19:05.572323Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-07T11:19:05.230608Z","title":null,"venue":null,"work_id":"9632ff81-a493-4413-bb0b-d244fc51c28d","year":null},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T11:19:01.227847Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:046439dfe89ad86ad4f93e5f175987a02f09da67a66e6ff44d0cfea6cd27671d","observation_id":"b4d1bd65-cc1b-4fc2-a1ea-479c0a418f07","resolution":{"observed_at":"2026-08-07T11:19:05.334872Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-07T11:19:05.013054Z","title":null,"venue":null,"work_id":"9660a96f-2924-4870-8766-7946836a16ad","year":null},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-07T11:19:01.350215Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:00ea570f2a914286e6cb334c74e1e9bc174643b05a38f4d1f0889dd9a18e9a42","observation_id":"4c94adfa-8360-4096-89f1-bd090701c08f","resolution":{"observed_at":"2026-08-07T11:19:05.112969Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-07T11:19:04.723055Z","title":null,"venue":null,"work_id":"df0f9a6d-86ad-48e4-8eda-7d9dee8995ae","year":null},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-07T11:19:01.465880Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:0cf79ab0b7b1561c7687ce2d316d28de7960bad1232767626c28d681c2edab6c","observation_id":"7e76f1fd-5732-40bf-b781-accfa4094e42","resolution":{"observed_at":"2026-08-07T11:19:04.852891Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-07T11:19:04.457202Z","title":null,"venue":null,"work_id":"c8d41650-c2f6-41de-a8e9-264f174a4010","year":null},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-07T11:19:01.576290Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:5947ee162a8532ebcf8b4099168e5ef0ce61677d6b0f38586afab34e1bbde5e2","observation_id":"6f5d3e1d-b9db-4e69-abcb-177b5f50b197","resolution":{"observed_at":"2026-08-07T11:19:04.594921Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-07T11:19:04.247021Z","title":null,"venue":null,"work_id":"3796ee40-4945-468f-9101-72910c4e3c05","year":null},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-07T11:19:01.721394Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:ab4f94226ed1c5eb0c27a24c1dcfc63c064c0805c24c265be312c731967127c7","observation_id":"c4920994-6d3d-4e26-a643-dbc72eebf292","resolution":{"observed_at":"2026-08-07T11:19:04.330904Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-07T11:19:04.009777Z","title":"This combination allows the overlap of the producer warpgroup’s memory loading prologue with the consumer warpgroups’ high latency epilogue operations","venue":null,"work_id":"f3a48ba7-5bbb-4282-af28-6676b6f0558d","year":null},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-07T11:19:01.855560Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:0099ae173094ea6399fb915ede7673b62fe1ba726079e2dcbab5349896580cc0","observation_id":"f673f552-8c24-4c49-8fd1-8168199acaa1","resolution":{"observed_at":"2026-08-07T11:19:04.123218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-07T11:19:03.918105Z","title":"With a torch-compiled bitpacking function, we reduce memory usage by 8x, while incurring negligible computational overhead","venue":null,"work_id":"eb17b130-1241-463a-82ee-bcd6eb0fd397","year":null},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-07T11:19:02.004623Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:aff5df67ead27d43cda12b4e2f6ae20baa37f8b6d84ecdd09f2059f7ecd0681e","observation_id":"ef85f47e-1402-45c9-af25-62f0bb754973","resolution":{"observed_at":"2026-08-07T11:19:03.945620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-07T11:19:03.714824Z","title":"anthropomorphic crow werecreature, photograph captured in a forest","venue":null,"work_id":"7b8d7b88-f4cf-4d50-aa9d-74509576177f","year":null},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-07T11:19:02.099567Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:3e9908681d89b8b61df0fe6c5abd9a92ab541f312c9910c7e5442917b029f50f","observation_id":"a81abfa9-61fc-4d90-b94f-75e5b14e8d77","resolution":{"observed_at":"2026-08-07T11:19:03.818018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-07T11:18:53.676340Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:53.676340Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:f566d5c5e160a4cdb92ba45422774cae608dec0f025071e321bbbb80a764f1fb","observation_id":"96973b2e-4c8b-4bd6-9e7c-e142746ddd8e","resolution":{"observed_at":"2026-08-07T11:18:53.676340Z","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":"2026-08-07T11:19:07.089395Z","title":null,"venue":null,"work_id":"7a208209-a67e-42a6-95b0-b09b6c93f69d","year":2023},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:59.116232Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:19f514e333ce781faa38b150609c6030b78b58c9e97f6d1da230247b881a65ea","observation_id":"4d980e1a-f8e2-40db-9ec4-a420c7532c66","resolution":{"observed_at":"2026-08-07T11:19:07.184460Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-07T11:19:06.589055Z","title":null,"venue":null,"work_id":"3952e916-15e5-4f3e-9728-325f5958d535","year":2024},"citing_paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:59.774882Z"},"links":{"citing_paper":"/paper/2506.03275"},"observation_digest":"sha256:9e5670ff92f5fbdc23e81d2e141ed52f923d6299fa643ce4b56fc1aa0f0d05bc","observation_id":"1a7e0ecf-3f32-4a40-8e6c-3ac3a47abaa9","resolution":{"observed_at":"2026-08-07T11:19:06.692163Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.03275","last_updated":"2025-06-03T18:03:32Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T16:49:10.720272Z","submitted_at":"2025-06-03T18:03:32Z","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas"},"reference_resolution":{"displayed":79,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":65,"verified_exact":2,"verified_fuzzy":12},"total_outbound_references":79},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2506.03275."}