{"as_of":"2026-08-06T21:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3efd4370a4b19b9e1a48fd9fffb64b13b6219b8ffd45d89d1b534af10a910a62","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":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":13,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T19:15:34.292314Z","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":"2026-07-04T04:09:35.541046Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.08380","last_updated":"2024-11-13T07:05:40Z","snapshot_observed_at":"2026-07-06T19:49:34.518432Z","submitted_at":"2024-11-13T07:05:40Z","title":"EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation","version":1},"cited_work":{"arxiv_id":"2411.08380","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.08380","snapshot_observed_at":"2026-07-04T04:09:35.541046Z","title":"Egovid-5m: A large-scale video-action dataset for egocentric video generation","venue":null,"work_id":"9385c471-7a88-43fb-99d9-fd117dabd96d","year":2024},"citing_paper":{"arxiv_id":"2508.13073","last_updated":"2025-09-01T08:10:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-08-18T16:45:48Z","title":"Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey","version":2},"reference_index":228,"source":"pdf_text","source_observed_at":"2026-05-17T20:28:15.818016Z"},"links":{"cited_paper":"/paper/2411.08380","citing_paper":"/paper/2508.13073"},"observation_digest":"sha256:ff89aecfa9b79a8a9ecbcdab1517e9d5444bf931e040f998a85e1a3101772584","observation_id":"ec597a67-6a35-4e64-a58c-56dfcbe03a3f","resolution":{"observed_at":"2026-05-17T20:28:16.373183Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08380","last_updated":"2024-11-13T07:05:40Z","snapshot_observed_at":"2026-07-06T19:49:34.518432Z","submitted_at":"2024-11-13T07:05:40Z","title":"EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.08380","snapshot_observed_at":"2026-08-05T19:15:34.292314Z","title":"Egovid-5m: A large-scale video-action dataset for egocentric video generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.13104","last_updated":"2025-08-18T17:12:28Z","snapshot_observed_at":"2026-08-05T19:13:32.356835Z","submitted_at":"2025-08-18T17:12:28Z","title":"Precise Action-to-Video Generation Through Visual Action Prompts","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-05T19:15:34.292314Z"},"links":{"cited_paper":"/paper/2411.08380","citing_paper":"/paper/2508.13104"},"observation_digest":"sha256:3e4f84009fa86679be97ebe0eb092b46aa1318e6adc3df30d96a39e0f43b1ec2","observation_id":"8d4ee067-2a01-470c-a0e8-d8cbe31222ec","resolution":{"observed_at":"2026-08-05T19:15:34.292314Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08380","last_updated":"2024-11-13T07:05:40Z","snapshot_observed_at":"2026-07-06T19:49:34.518432Z","submitted_at":"2024-11-13T07:05:40Z","title":"EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation","version":1},"cited_work":{"arxiv_id":"2411.08380","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.08380","snapshot_observed_at":"2026-07-04T04:09:35.541046Z","title":"Egovid-5m: A large-scale video-action dataset for egocentric video generation","venue":null,"work_id":"9385c471-7a88-43fb-99d9-fd117dabd96d","year":2024},"citing_paper":{"arxiv_id":"2511.18127","last_updated":"2026-05-15T06:06:57Z","snapshot_observed_at":"2026-08-03T00:05:43.305259Z","submitted_at":"2025-11-22T17:22:24Z","title":"SFHand: Learning Embodied Manipulation by Streaming Egocentric 3D Hand Forecasting","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-05-21T17:53:19.002603Z"},"links":{"cited_paper":"/paper/2411.08380","citing_paper":"/paper/2511.18127"},"observation_digest":"sha256:88c45d31d86432ace15cbf806a2251e951e7e9aeb04a3a5e0460a2720492f137","observation_id":"be883004-0e67-4bd2-a90c-745b6dfc6a8e","resolution":{"observed_at":"2026-05-21T17:54:18.270974Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08380","last_updated":"2024-11-13T07:05:40Z","snapshot_observed_at":"2026-07-06T19:49:34.518432Z","submitted_at":"2024-11-13T07:05:40Z","title":"EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.08380","snapshot_observed_at":"2026-07-13T14:40:24.818842Z","title":"arXiv preprint arXiv:2411.08380 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2604.01001","last_updated":"2026-07-01T11:45:08Z","snapshot_observed_at":"2026-07-13T14:40:18.914932Z","submitted_at":"2026-04-01T15:00:46Z","title":"EgoSim: Egocentric World Simulator for Embodied Interaction Generation","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-13T14:40:24.818842Z"},"links":{"cited_paper":"/paper/2411.08380","citing_paper":"/paper/2604.01001"},"observation_digest":"sha256:ec3be178f313845dffb3e24d7264ac5e9401e88642c8bfdf75cbb6de2f0b0820","observation_id":"67625f16-802b-41f8-acc7-3a7e45e13f3c","resolution":{"observed_at":"2026-07-13T14:40:24.818842Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08380","last_updated":"2024-11-13T07:05:40Z","snapshot_observed_at":"2026-07-06T19:49:34.518432Z","submitted_at":"2024-11-13T07:05:40Z","title":"EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation","version":1},"cited_work":{"arxiv_id":"2411.08380","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.08380","snapshot_observed_at":"2026-07-04T04:09:35.541046Z","title":"Egovid-5m: A large-scale video-action dataset for egocentric video generation","venue":null,"work_id":"9385c471-7a88-43fb-99d9-fd117dabd96d","year":2024},"citing_paper":{"arxiv_id":"2604.09535","last_updated":"2026-04-10T17:53:55Z","snapshot_observed_at":"2026-07-06T22:58:21.624968Z","submitted_at":"2026-04-10T17:53:55Z","title":"EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-10T17:10:36.209152Z"},"links":{"cited_paper":"/paper/2411.08380","citing_paper":"/paper/2604.09535"},"observation_digest":"sha256:f1014cd561f31badd87e14c01786e7393cab0e38184b64c7c3d2afcb6ffee1fd","observation_id":"ff58e91a-20bb-474b-8274-95c618a83ef0","resolution":{"observed_at":"2026-05-11T07:26:02.978634Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08380","last_updated":"2024-11-13T07:05:40Z","snapshot_observed_at":"2026-07-06T19:49:34.518432Z","submitted_at":"2024-11-13T07:05:40Z","title":"EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation","version":1},"cited_work":{"arxiv_id":"2411.08380","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.08380","snapshot_observed_at":"2026-07-04T04:09:35.541046Z","title":"Egovid-5m: A large-scale video-action dataset for egocentric video generation","venue":null,"work_id":"9385c471-7a88-43fb-99d9-fd117dabd96d","year":2024},"citing_paper":{"arxiv_id":"2604.27621","last_updated":"2026-04-30T09:11:25Z","snapshot_observed_at":"2026-08-03T01:43:27.294399Z","submitted_at":"2026-04-30T09:11:25Z","title":"Robot Learning from Human Videos: A Survey","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-07T04:55:44.273643Z"},"links":{"cited_paper":"/paper/2411.08380","citing_paper":"/paper/2604.27621"},"observation_digest":"sha256:34e8a37ac8f4067d2f1cc6f651b33f330b050c52cc7553493571c2f20c828c79","observation_id":"57fcf62c-8edd-4aee-8b9b-a8a04ea19581","resolution":{"observed_at":"2026-05-12T10:41:29.720260Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08380","last_updated":"2024-11-13T07:05:40Z","snapshot_observed_at":"2026-07-06T19:49:34.518432Z","submitted_at":"2024-11-13T07:05:40Z","title":"EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.08380","snapshot_observed_at":"2026-08-02T14:24:57.896385Z","title":"helpfulness_score","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.10579","last_updated":"2026-07-30T05:06:10Z","snapshot_observed_at":"2026-08-02T23:16:55.313881Z","submitted_at":"2026-05-11T13:50:47Z","title":"VISTA: A Controllable Platform for Generating and Auditing Egocentric Assistance Scenarios","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T14:24:57.896385Z"},"links":{"cited_paper":"/paper/2411.08380","citing_paper":"/paper/2605.10579"},"observation_digest":"sha256:daec8e3037fbd58c75b1785ace53223d9ae6496c5b023b60932e9fc385ce3756","observation_id":"f066cf9c-ec7e-4459-8a22-426517529e66","resolution":{"observed_at":"2026-08-02T14:24:57.896385Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08380","last_updated":"2024-11-13T07:05:40Z","snapshot_observed_at":"2026-07-06T19:49:34.518432Z","submitted_at":"2024-11-13T07:05:40Z","title":"EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation","version":1},"cited_work":{"arxiv_id":"2411.08380","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.08380","snapshot_observed_at":"2026-07-04T04:09:35.541046Z","title":"Egovid-5m: A large-scale video-action dataset for egocentric video generation","venue":null,"work_id":"9385c471-7a88-43fb-99d9-fd117dabd96d","year":2024},"citing_paper":{"arxiv_id":"2605.12090","last_updated":"2026-05-12T13:10:52Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T13:10:52Z","title":"World Action Models: The Next Frontier in Embodied AI","version":1},"reference_index":183,"source":"pdf_text","source_observed_at":"2026-05-13T05:01:16.802019Z"},"links":{"cited_paper":"/paper/2411.08380","citing_paper":"/paper/2605.12090"},"observation_digest":"sha256:469feae4a3c71a31de10093079fff6b490b906a4252d2db27eb48d67ac7d0691","observation_id":"9a614153-e28a-419a-b3dc-dbd1de4d3215","resolution":{"observed_at":"2026-05-13T05:07:18.085461Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08380","last_updated":"2024-11-13T07:05:40Z","snapshot_observed_at":"2026-07-06T19:49:34.518432Z","submitted_at":"2024-11-13T07:05:40Z","title":"EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation","version":1},"cited_work":{"arxiv_id":"2411.08380","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.08380","snapshot_observed_at":"2026-07-04T04:09:35.541046Z","title":"Egovid-5m: A large-scale video-action dataset for egocentric video generation","venue":null,"work_id":"9385c471-7a88-43fb-99d9-fd117dabd96d","year":2024},"citing_paper":{"arxiv_id":"2605.26316","last_updated":"2026-05-25T20:13:16Z","snapshot_observed_at":"2026-08-01T03:37:55.526828Z","submitted_at":"2026-05-25T20:13:16Z","title":"E$^3$C: Video Generation with 3D Environmental Memory and Ego-Exo Human Pose Control","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-06-29T22:24:38.389294Z"},"links":{"cited_paper":"/paper/2411.08380","citing_paper":"/paper/2605.26316"},"observation_digest":"sha256:22a8698d7d0f4cd4762fdb6fa3b049bdaefbe1cf7b7a27a3bdec7d6402c60e86","observation_id":"03223971-dea8-4844-936a-34fb0f43d6ea","resolution":{"observed_at":"2026-06-29T22:34:02.491593Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08380","last_updated":"2024-11-13T07:05:40Z","snapshot_observed_at":"2026-07-06T19:49:34.518432Z","submitted_at":"2024-11-13T07:05:40Z","title":"EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation","version":1},"cited_work":{"arxiv_id":"2411.08380","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.08380","snapshot_observed_at":"2026-07-04T04:09:35.541046Z","title":"Egovid-5m: A large-scale video-action dataset for egocentric video generation","venue":null,"work_id":"9385c471-7a88-43fb-99d9-fd117dabd96d","year":2024},"citing_paper":{"arxiv_id":"2606.20781","last_updated":"2026-06-18T17:05:19Z","snapshot_observed_at":"2026-08-03T05:46:19.564000Z","submitted_at":"2026-06-18T17:05:19Z","title":"World Action Models: A Survey","version":1},"reference_index":163,"source":"pdf_text","source_observed_at":"2026-06-26T17:11:12.686936Z"},"links":{"cited_paper":"/paper/2411.08380","citing_paper":"/paper/2606.20781"},"observation_digest":"sha256:d0b91dd35031f6101e86fd7c3c5567d501c5a24d0de9bd52d93cae11e2c82800","observation_id":"f7401e87-89f8-4008-8fab-a9f396fbf08a","resolution":{"observed_at":"2026-07-04T04:09:35.543085Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08380","last_updated":"2024-11-13T07:05:40Z","snapshot_observed_at":"2026-07-06T19:49:34.518432Z","submitted_at":"2024-11-13T07:05:40Z","title":"EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation","version":1},"cited_work":{"arxiv_id":"2411.08380","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.08380","snapshot_observed_at":"2026-07-04T04:09:35.541046Z","title":"Egovid-5m: A large-scale video-action dataset for egocentric video generation","venue":null,"work_id":"9385c471-7a88-43fb-99d9-fd117dabd96d","year":2024},"citing_paper":{"arxiv_id":"2607.02075","last_updated":"2026-07-02T12:14:02Z","snapshot_observed_at":"2026-08-05T08:46:58.228914Z","submitted_at":"2026-07-02T12:14:02Z","title":"HandsOnWorld: Unconstrained Egocentric Video Generation with Camera-Disentangled Hand Control","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-07-03T15:52:18.371702Z"},"links":{"cited_paper":"/paper/2411.08380","citing_paper":"/paper/2607.02075"},"observation_digest":"sha256:865cfae9f9cea114fb832cbeec647cf507f8f0fdbba3ed406b0ce9a432319d5e","observation_id":"2d0fbbc3-546e-4783-98f4-cc931057e2bc","resolution":{"observed_at":"2026-07-03T15:58:37.380383Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08380","last_updated":"2024-11-13T07:05:40Z","snapshot_observed_at":"2026-07-06T19:49:34.518432Z","submitted_at":"2024-11-13T07:05:40Z","title":"EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.08380","snapshot_observed_at":"2026-07-12T12:21:16.963000Z","title":"Egovid-5m: A large-scale video-action dataset for egocentric video generation, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02542","last_updated":"2026-06-24T00:25:44Z","snapshot_observed_at":"2026-08-06T14:11:26.812383Z","submitted_at":"2026-06-24T00:25:44Z","title":"iFLYTEK-Embodied-Omni Technical Report","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-12T12:21:16.963000Z"},"links":{"cited_paper":"/paper/2411.08380","citing_paper":"/paper/2607.02542"},"observation_digest":"sha256:e4664db2686c473be878c96a91276e3e95deb1c919269b9a8c35c9be31a94eb2","observation_id":"58d28c96-4fad-4bb4-b6a7-adabeebe6cf0","resolution":{"observed_at":"2026-07-12T12:21:16.963000Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08380","last_updated":"2024-11-13T07:05:40Z","snapshot_observed_at":"2026-07-06T19:49:34.518432Z","submitted_at":"2024-11-13T07:05:40Z","title":"EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.08380","snapshot_observed_at":"2026-08-01T14:08:29.408596Z","title":"arXiv preprint arXiv:2411.08380 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26518","last_updated":"2026-07-30T02:44:33Z","snapshot_observed_at":"2026-08-03T10:19:01.133292Z","submitted_at":"2026-07-29T06:33:11Z","title":"EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T14:08:29.408596Z"},"links":{"cited_paper":"/paper/2411.08380","citing_paper":"/paper/2607.26518"},"observation_digest":"sha256:6f1f1a41023a85da2378248ac223a3875822a45c4b17d7e596fde5ab7ce550b6","observation_id":"3f261905-45cb-4fb0-b2d3-10ff1f52fe30","resolution":{"observed_at":"2026-08-01T14:08:29.408596Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2411.08380/citation-record","integrity":"/paper/2411.08380/integrity","json":"/paper/2411.08380/citation-record.json","paper":"/paper/2411.08380"},"outbound":[],"paper":{"arxiv_id":"2411.08380","last_updated":"2024-11-13T07:05:40Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T19:49:34.518432Z","submitted_at":"2024-11-13T07:05:40Z","title":"EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2411.08380."}