{"as_of":"2026-08-07T18:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e8ab11b391c6abe8893783abd4fae1b3d7f4a4c2096d41dd2645ec144876bce4","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":11,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":11,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":11,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:20:48.492030Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-01T15:45:48.902358Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.11440","last_updated":"2024-03-23T04:58:50Z","snapshot_observed_at":"2026-08-04T15:31:22.733113Z","submitted_at":"2023-10-17T17:50:46Z","title":"EvalCrafter: Benchmarking and Evaluating Large Video Generation Models","version":3},"cited_work":{"arxiv_id":"2310.11440","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.11440","snapshot_observed_at":"2026-07-01T15:45:48.902358Z","title":"Evalcrafter: Benchmarking and evaluating large video generation models","venue":null,"work_id":"7e755299-7217-4af5-a711-0d29a31768fb","year":2024},"citing_paper":{"arxiv_id":"2407.02371","last_updated":"2025-02-13T10:13:24Z","snapshot_observed_at":"2026-08-07T10:03:56.902190Z","submitted_at":"2024-07-02T15:40:29Z","title":"OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-14T20:34:53.141898Z"},"links":{"cited_paper":"/paper/2310.11440","citing_paper":"/paper/2407.02371"},"observation_digest":"sha256:961c88b7939f01a5e97fe2e7fee45fa002ad70b3f9e288add006a12158a255a8","observation_id":"e1bf9d55-310f-4af7-ac8f-d482447640df","resolution":{"observed_at":"2026-05-14T20:34:53.193477Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.11440","last_updated":"2024-03-23T04:58:50Z","snapshot_observed_at":"2026-08-04T15:31:22.733113Z","submitted_at":"2023-10-17T17:50:46Z","title":"EvalCrafter: Benchmarking and Evaluating Large Video Generation Models","version":3},"cited_work":{"arxiv_id":"2310.11440","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.11440","snapshot_observed_at":"2026-07-01T15:45:48.902358Z","title":"Evalcrafter: Benchmarking and evaluating large video generation models","venue":null,"work_id":"7e755299-7217-4af5-a711-0d29a31768fb","year":2024},"citing_paper":{"arxiv_id":"2504.17180","last_updated":"2026-04-03T02:52:42Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-24T01:34:12Z","title":"We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback","version":4},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-22T18:56:39.735334Z"},"links":{"cited_paper":"/paper/2310.11440","citing_paper":"/paper/2504.17180"},"observation_digest":"sha256:215925f6d6f313e9359122de84be3ac64e33fb04f8f4a81c38ae528d9d9ed91a","observation_id":"c8343e65-6b0e-44fd-93a0-713dfef5029c","resolution":{"observed_at":"2026-05-22T18:56:58.180700Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.11440","last_updated":"2024-03-23T04:58:50Z","snapshot_observed_at":"2026-08-04T15:31:22.733113Z","submitted_at":"2023-10-17T17:50:46Z","title":"EvalCrafter: Benchmarking and Evaluating Large Video Generation Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.11440","snapshot_observed_at":"2026-08-07T11:20:48.492030Z","title":"Evalcrafter: Benchmark- ing and evaluating large video generation models.arXiv preprint arXiv:2310.11440, 2023","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.02875","last_updated":"2025-06-03T13:39:57Z","snapshot_observed_at":"2026-08-07T11:11:30.878780Z","submitted_at":"2025-06-03T13:39:57Z","title":"NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T11:20:48.492030Z"},"links":{"cited_paper":"/paper/2310.11440","citing_paper":"/paper/2506.02875"},"observation_digest":"sha256:b1aed7a5ef7520ca49d4ef21dce4f44df51a5c7aa9bb5750923374b80760bbbf","observation_id":"460896ee-c8a2-4812-9dd4-d12468b3e10f","resolution":{"observed_at":"2026-08-07T11:20:48.492030Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.11440","last_updated":"2024-03-23T04:58:50Z","snapshot_observed_at":"2026-08-04T15:31:22.733113Z","submitted_at":"2023-10-17T17:50:46Z","title":"EvalCrafter: Benchmarking and Evaluating Large Video Generation Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.11440","snapshot_observed_at":"2026-08-06T23:51:05.411761Z","title":"Evalcrafter: Benchmarking and evaluating large video generation models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.16054","last_updated":"2025-06-19T06:25:02Z","snapshot_observed_at":"2026-08-07T13:41:59.610268Z","submitted_at":"2025-06-19T06:25:02Z","title":"PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:05.411761Z"},"links":{"cited_paper":"/paper/2310.11440","citing_paper":"/paper/2506.16054"},"observation_digest":"sha256:bdb16cc72975f57d147caf137430c16b842b99cb5f72a96354a3dbdcdcb3a2b0","observation_id":"a626de08-5c20-40af-b665-ff05536d79cd","resolution":{"observed_at":"2026-08-06T23:51:05.411761Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.11440","last_updated":"2024-03-23T04:58:50Z","snapshot_observed_at":"2026-08-04T15:31:22.733113Z","submitted_at":"2023-10-17T17:50:46Z","title":"EvalCrafter: Benchmarking and Evaluating Large Video Generation Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.11440","snapshot_observed_at":"2026-08-06T21:03:02.228422Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.01255","last_updated":"2025-07-02T00:20:06Z","snapshot_observed_at":"2026-08-06T20:54:03.544956Z","submitted_at":"2025-07-02T00:20:06Z","title":"AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-06T21:03:02.228422Z"},"links":{"cited_paper":"/paper/2310.11440","citing_paper":"/paper/2507.01255"},"observation_digest":"sha256:893bf7032698830c21c535564485a0a25d3c0c0d7b0c7149eb9758f464225f38","observation_id":"1cb6445a-274b-4862-9442-5bd5d34957b1","resolution":{"observed_at":"2026-08-06T21:03:02.228422Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.11440","last_updated":"2024-03-23T04:58:50Z","snapshot_observed_at":"2026-08-04T15:31:22.733113Z","submitted_at":"2023-10-17T17:50:46Z","title":"EvalCrafter: Benchmarking and Evaluating Large Video Generation Models","version":3},"cited_work":{"arxiv_id":"2310.11440","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.11440","snapshot_observed_at":"2026-07-01T15:45:48.902358Z","title":"Evalcrafter: Benchmarking and evaluating large video generation models","venue":null,"work_id":"7e755299-7217-4af5-a711-0d29a31768fb","year":2024},"citing_paper":{"arxiv_id":"2604.19193","last_updated":"2026-04-21T08:04:02Z","snapshot_observed_at":"2026-08-02T22:05:18.077263Z","submitted_at":"2026-04-21T08:04:02Z","title":"How Far Are Video Models from True Multimodal Reasoning?","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-10T02:44:52.920816Z"},"links":{"cited_paper":"/paper/2310.11440","citing_paper":"/paper/2604.19193"},"observation_digest":"sha256:88fd2fc1de29998425a1942b3610cb384f8015396244fef7de08d252baf0ff5e","observation_id":"1afd451f-3ce8-435d-8514-c72ede652ee4","resolution":{"observed_at":"2026-05-11T12:51:04.086174Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.11440","last_updated":"2024-03-23T04:58:50Z","snapshot_observed_at":"2026-08-04T15:31:22.733113Z","submitted_at":"2023-10-17T17:50:46Z","title":"EvalCrafter: Benchmarking and Evaluating Large Video Generation Models","version":3},"cited_work":{"arxiv_id":"2310.11440","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.11440","snapshot_observed_at":"2026-07-01T15:45:48.902358Z","title":"Evalcrafter: Benchmarking and evaluating large video generation models","venue":null,"work_id":"7e755299-7217-4af5-a711-0d29a31768fb","year":2024},"citing_paper":{"arxiv_id":"2605.20183","last_updated":"2026-06-24T10:59:42Z","snapshot_observed_at":"2026-07-06T23:30:49.211483Z","submitted_at":"2026-05-19T17:59:33Z","title":"MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-20T05:17:11.690484Z"},"links":{"cited_paper":"/paper/2310.11440","citing_paper":"/paper/2605.20183"},"observation_digest":"sha256:e51fd6843991dc2c4b8fb1668e5831c5db021bebe249f73c17478bec706a456e","observation_id":"b8e445b1-64eb-4ce0-86de-f89746375f01","resolution":{"observed_at":"2026-05-20T05:18:03.150289Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.11440","last_updated":"2024-03-23T04:58:50Z","snapshot_observed_at":"2026-08-04T15:31:22.733113Z","submitted_at":"2023-10-17T17:50:46Z","title":"EvalCrafter: Benchmarking and Evaluating Large Video Generation Models","version":3},"cited_work":{"arxiv_id":"2310.11440","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.11440","snapshot_observed_at":"2026-07-01T15:45:48.902358Z","title":"Evalcrafter: Benchmarking and evaluating large video generation models","venue":null,"work_id":"7e755299-7217-4af5-a711-0d29a31768fb","year":2024},"citing_paper":{"arxiv_id":"2605.20183","last_updated":"2026-06-24T10:59:42Z","snapshot_observed_at":"2026-07-06T23:30:49.211483Z","submitted_at":"2026-05-19T17:59:33Z","title":"MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation","version":4},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-30T18:00:39.556424Z"},"links":{"cited_paper":"/paper/2310.11440","citing_paper":"/paper/2605.20183"},"observation_digest":"sha256:c2954c79ecc60a67b349f145015ddd62be2cd636139a5741a11eb00046728073","observation_id":"f302f2bd-8f35-487b-a572-69bfce3f166f","resolution":{"observed_at":"2026-06-30T18:04:58.029339Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.11440","last_updated":"2024-03-23T04:58:50Z","snapshot_observed_at":"2026-08-04T15:31:22.733113Z","submitted_at":"2023-10-17T17:50:46Z","title":"EvalCrafter: Benchmarking and Evaluating Large Video Generation Models","version":3},"cited_work":{"arxiv_id":"2310.11440","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.11440","snapshot_observed_at":"2026-07-01T15:45:48.902358Z","title":"Evalcrafter: Benchmarking and evaluating large video generation models","venue":null,"work_id":"7e755299-7217-4af5-a711-0d29a31768fb","year":2024},"citing_paper":{"arxiv_id":"2605.29360","last_updated":"2026-05-28T04:58:15Z","snapshot_observed_at":"2026-08-06T11:23:36.274726Z","submitted_at":"2026-05-28T04:58:15Z","title":"MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-29T07:46:28.469913Z"},"links":{"cited_paper":"/paper/2310.11440","citing_paper":"/paper/2605.29360"},"observation_digest":"sha256:cb98bb9b5838d0310a658101e00f7b16845fc189ffd060ff593a217318ba40b0","observation_id":"f82286c3-4c1c-4495-8cc7-f2c98a1792df","resolution":{"observed_at":"2026-06-29T07:53:13.844872Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.11440","last_updated":"2024-03-23T04:58:50Z","snapshot_observed_at":"2026-08-04T15:31:22.733113Z","submitted_at":"2023-10-17T17:50:46Z","title":"EvalCrafter: Benchmarking and Evaluating Large Video Generation Models","version":3},"cited_work":{"arxiv_id":"2310.11440","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.11440","snapshot_observed_at":"2026-07-01T15:45:48.902358Z","title":"Evalcrafter: Benchmarking and evaluating large video generation models","venue":null,"work_id":"7e755299-7217-4af5-a711-0d29a31768fb","year":2024},"citing_paper":{"arxiv_id":"2606.28531","last_updated":"2026-06-26T18:30:00Z","snapshot_observed_at":"2026-07-07T00:02:38.226622Z","submitted_at":"2026-06-26T18:30:00Z","title":"A Good Talk Does not Look Like a Summary, It Teaches You! Measuring Takeaways from Paper-to-Video Talks","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-06-30T00:59:50.478584Z"},"links":{"cited_paper":"/paper/2310.11440","citing_paper":"/paper/2606.28531"},"observation_digest":"sha256:4990996ee8d96625b64fed33ddbeb80f1ce638c333d1ef6c157fd3b37b5b8df1","observation_id":"5e7b2a1d-6977-49a9-b6ac-baced4d8916c","resolution":{"observed_at":"2026-07-01T15:45:48.903973Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.11440","last_updated":"2024-03-23T04:58:50Z","snapshot_observed_at":"2026-08-04T15:31:22.733113Z","submitted_at":"2023-10-17T17:50:46Z","title":"EvalCrafter: Benchmarking and Evaluating Large Video Generation Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.11440","snapshot_observed_at":"2026-08-02T02:56:20.214687Z","title":"Evalcrafter: Benchmarking and evaluating large video generation models.arXiv preprint arXiv:2310.11440, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.14202","last_updated":"2026-07-15T17:46:12Z","snapshot_observed_at":"2026-08-07T15:13:00.036289Z","submitted_at":"2026-07-15T17:46:12Z","title":"KeyFrame-Compass: Towards Comprehensive Evaluation of Keyframe-Conditioned Video Generation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T02:56:20.214687Z"},"links":{"cited_paper":"/paper/2310.11440","citing_paper":"/paper/2607.14202"},"observation_digest":"sha256:129de8726a885ac126be9eb42e2852ab732b9b9047bf5f1b7bdbfdaed83f6f08","observation_id":"e717ed95-87f3-4c23-b934-a0302ca4e29d","resolution":{"observed_at":"2026-08-02T02:56:20.214687Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2310.11440/citation-record","integrity":"/paper/2310.11440/integrity","json":"/paper/2310.11440/citation-record.json","paper":"/paper/2310.11440"},"outbound":[],"paper":{"arxiv_id":"2310.11440","last_updated":"2024-03-23T04:58:50Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-04T15:31:22.733113Z","submitted_at":"2023-10-17T17:50:46Z","title":"EvalCrafter: Benchmarking and Evaluating Large Video Generation Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2310.11440."}