{"as_of":"2026-08-10T21:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:09159e8dd0d5c6f1f129fc30311320353c917b66e425b007eb939c0919c71c08","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":24,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":24,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":24,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":24,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T19:06:46.161997Z","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":"2026-07-02T19:07:17.473192Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-08-10T19:06:46.161997Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2501.10674","last_updated":"2025-02-18T09:51:00Z","snapshot_observed_at":"2026-08-10T18:59:40.573792Z","submitted_at":"2025-01-18T06:41:48Z","title":"Can Multimodal LLMs do Visual Temporal Understanding and Reasoning? The answer is No!","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:46.161997Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2501.10674"},"observation_digest":"sha256:994d9713fba6d78fe41d1ba9147aec3f77d9010904df88b69d27e6a03b39a834","observation_id":"f39631f1-dd69-4503-b0e7-984f504b983c","resolution":{"observed_at":"2026-08-10T19:06:46.161997Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-08-08T23:26:20.299457Z","title":"TVBench: Re- designing video-language evaluation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04144","last_updated":"2025-03-25T04:54:54Z","snapshot_observed_at":"2026-08-09T20:29:20.505084Z","submitted_at":"2025-02-06T15:25:05Z","title":"HD-EPIC: A Highly-Detailed Egocentric Video Dataset","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T23:26:20.299457Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2502.04144"},"observation_digest":"sha256:d70b0e57e21032fd5efa93530a93525d4d45ede02bd3edda4edd1d35b0301634","observation_id":"0f9ee443-d1d2-492a-bd74-25d790104880","resolution":{"observed_at":"2026-08-08T23:26:20.299457Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":"2410.07752","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-07-02T19:07:17.473192Z","title":"Lost in time: A new temporal benchmark for videollms","venue":null,"work_id":"8eb5b83d-8383-4120-a32e-cfa7e77ae46a","year":2024},"citing_paper":{"arxiv_id":"2505.07062","last_updated":"2025-05-11T17:28:30Z","snapshot_observed_at":"2026-08-02T16:13:31.498470Z","submitted_at":"2025-05-11T17:28:30Z","title":"Seed1.5-VL Technical Report","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-11T05:26:04.960844Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2505.07062"},"observation_digest":"sha256:7f2d8779bb3dd21983dfb0c06e4704341e69ad88816724167c12f9291fe96bc2","observation_id":"769e071d-a57c-4a42-a863-a23d22964c86","resolution":{"observed_at":"2026-05-11T05:26:06.098537Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-08-07T13:10:40.921513Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.22457","last_updated":"2025-05-28T15:13:34Z","snapshot_observed_at":"2026-08-09T21:52:56.063992Z","submitted_at":"2025-05-28T15:13:34Z","title":"Fostering Video Reasoning via Next-Event Prediction","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T13:10:40.921513Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2505.22457"},"observation_digest":"sha256:03817730b9628191703e585b44929f65ca1aa80eb1cd4c4b7ae8833fa4adb9e0","observation_id":"ec8e0ee3-de3c-4682-8d6c-becc925384ba","resolution":{"observed_at":"2026-08-07T13:10:40.921513Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-08-07T11:42:34.028134Z","title":"Tvbench: Redesigning video-language evaluation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.01608","last_updated":"2025-08-25T13:46:38Z","snapshot_observed_at":"2026-08-08T05:44:19.558373Z","submitted_at":"2025-06-02T12:46:44Z","title":"EPFL-Smart-Kitchen-30: Densely annotated cooking dataset with 3D kinematics to challenge video and language models","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T11:42:34.028134Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2506.01608"},"observation_digest":"sha256:8df11129026eee8c4e75bb8adea3139bfb8db588df530ccce7650a38547604b5","observation_id":"0773ce32-d25b-4c9a-a11e-7d9cc1e2eb03","resolution":{"observed_at":"2026-08-07T11:42:34.028134Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-08-07T05:51:07.790019Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06928","last_updated":"2025-06-07T21:32:19Z","snapshot_observed_at":"2026-08-10T12:00:26.470686Z","submitted_at":"2025-06-07T21:32:19Z","title":"How Important are Videos for Training Video LLMs?","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:51:07.790019Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2506.06928"},"observation_digest":"sha256:f2e105f827b7ed13b446b7cc852dabef550ca2bb8214a43b1d0a07d952ab31ba","observation_id":"03cff194-f5a0-4074-90c0-a2701db95f6b","resolution":{"observed_at":"2026-08-07T05:51:07.790019Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":"2410.07752","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-07-02T19:07:17.473192Z","title":"Lost in time: A new temporal benchmark for videollms","venue":null,"work_id":"8eb5b83d-8383-4120-a32e-cfa7e77ae46a","year":2024},"citing_paper":{"arxiv_id":"2506.09985","last_updated":"2025-06-11T17:57:09Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-11T17:57:09Z","title":"V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-11T00:33:50.471804Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2506.09985"},"observation_digest":"sha256:fb3bcdad194184946af75227904206806652423d25956969d953aaa3986d2f42","observation_id":"2ddcf280-f912-4b04-a12e-5e84b7c485e2","resolution":{"observed_at":"2026-05-11T00:33:50.755434Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-08-07T04:22:55.823070Z","title":"Tvbench: Re- designing video-language evaluation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10857","last_updated":"2025-08-04T09:11:48Z","snapshot_observed_at":"2026-08-08T13:30:57.844783Z","submitted_at":"2025-06-12T16:17:17Z","title":"VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T04:22:55.823070Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2506.10857"},"observation_digest":"sha256:7b8a2ea3afe03be48e06d19b3b807c997aa02203b94d278981b820f4fed98569","observation_id":"3f7009cb-616d-44a6-bd44-2b6e59c6e59e","resolution":{"observed_at":"2026-08-07T04:22:55.823070Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-08-04T20:32:56.477678Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.08538","last_updated":"2025-09-11T11:14:00Z","snapshot_observed_at":"2026-08-08T09:10:30.973101Z","submitted_at":"2025-09-10T12:34:07Z","title":"MESH -- Understanding Videos Like Human: Measuring Hallucinations in Large Video Models","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T20:32:56.477678Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2509.08538"},"observation_digest":"sha256:eddfae9225f813b23c3469df2c8114de68b77cb6ab8a59d2273322427427b59d","observation_id":"0b62f425-e764-4385-a3c0-7c7e35137384","resolution":{"observed_at":"2026-08-04T20:32:56.477678Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-08-04T07:23:03.592902Z","title":"Lost in time: A new temporal benchmark for videollms","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.26113","last_updated":"2026-06-18T20:06:47Z","snapshot_observed_at":"2026-08-06T20:27:36.141566Z","submitted_at":"2025-10-30T03:53:22Z","title":"EgoExo-Con: Exploring View-Invariant Video Temporal Understanding","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-04T07:23:03.592902Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2510.26113"},"observation_digest":"sha256:f7711ee584673d8da8e1ac641a016dba9f074fc941dd6b60aef15dc7411f82e4","observation_id":"8bda65d5-9efd-44e8-89ea-24f8062f3b04","resolution":{"observed_at":"2026-08-04T07:23:03.592902Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":"2410.07752","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-07-02T19:07:17.473192Z","title":"Lost in time: A new temporal benchmark for videollms","venue":null,"work_id":"8eb5b83d-8383-4120-a32e-cfa7e77ae46a","year":2024},"citing_paper":{"arxiv_id":"2512.13511","last_updated":"2026-05-01T11:23:38Z","snapshot_observed_at":"2026-07-06T22:39:04.164003Z","submitted_at":"2025-12-15T16:38:59Z","title":"Adapting MLLMs for Nuanced Video Retrieval","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-16T22:20:09.051957Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2512.13511"},"observation_digest":"sha256:409e68f525aaa92cc5039e28fd33baa838d5c2f78184aa4e9e85b66446ebfd5d","observation_id":"916a81a1-e40b-4e6d-a595-405f1fcbb1e5","resolution":{"observed_at":"2026-05-16T22:21:18.917253Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":"2410.07752","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-07-02T19:07:17.473192Z","title":"Lost in time: A new temporal benchmark for videollms","venue":null,"work_id":"8eb5b83d-8383-4120-a32e-cfa7e77ae46a","year":2024},"citing_paper":{"arxiv_id":"2603.20633","last_updated":"2026-04-17T08:57:17Z","snapshot_observed_at":"2026-07-06T22:49:57.103822Z","submitted_at":"2026-03-21T04:03:45Z","title":"Seed1.8 Model Card: Towards Generalized Real-World Agency","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-15T07:44:02.827006Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2603.20633"},"observation_digest":"sha256:18e02e47c098e5e03cd5d8583938cab7a94033b22cd6932a7ce31d33070a0af4","observation_id":"8e55d311-7132-4f32-8d5c-1edf6eb53b06","resolution":{"observed_at":"2026-05-15T07:45:14.381093Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":"2410.07752","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-07-02T19:07:17.473192Z","title":"Lost in time: A new temporal benchmark for videollms","venue":null,"work_id":"8eb5b83d-8383-4120-a32e-cfa7e77ae46a","year":2024},"citing_paper":{"arxiv_id":"2604.11399","last_updated":"2026-04-13T12:41:50Z","snapshot_observed_at":"2026-07-06T22:59:49.614780Z","submitted_at":"2026-04-13T12:41:50Z","title":"Reasoning Resides in Layers: Restoring Temporal Reasoning in Video-Language Models with Layer-Selective Merging","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T15:42:43.948462Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2604.11399"},"observation_digest":"sha256:fcd24d88bbed90ffa81429e1fe0d2e5885f231655627e7d71b6dfe577aa2e94e","observation_id":"97dcf00a-7928-4d4c-98d7-667d7095f848","resolution":{"observed_at":"2026-05-11T09:56:06.215848Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":"2410.07752","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-07-02T19:07:17.473192Z","title":"Lost in time: A new temporal benchmark for videollms","venue":null,"work_id":"8eb5b83d-8383-4120-a32e-cfa7e77ae46a","year":2024},"citing_paper":{"arxiv_id":"2604.23407","last_updated":"2026-04-25T18:58:33Z","snapshot_observed_at":"2026-07-06T23:09:38.799345Z","submitted_at":"2026-04-25T18:58:33Z","title":"PushupBench: Your VLM is not good at counting pushups","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-05-08T08:32:47.354181Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2604.23407"},"observation_digest":"sha256:d7b0c5213a4afe705f3f9f7b8260a36ace8945975e2b9f4937d2a194c14194c0","observation_id":"2c98fe22-2bb7-43dc-9a7b-2927aa9238db","resolution":{"observed_at":"2026-05-11T20:36:08.857453Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":"2410.07752","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-07-02T19:07:17.473192Z","title":"Lost in time: A new temporal benchmark for videollms","venue":null,"work_id":"8eb5b83d-8383-4120-a32e-cfa7e77ae46a","year":2024},"citing_paper":{"arxiv_id":"2605.07568","last_updated":"2026-05-08T10:40:08Z","snapshot_observed_at":"2026-07-06T23:19:56.415523Z","submitted_at":"2026-05-08T10:40:08Z","title":"Tracing the Arrow of Time: Diagnosing Temporal Information Flow in Video-LLMs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-11T03:04:27.841522Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2605.07568"},"observation_digest":"sha256:c7735e88a1807ec2344802633eb476c7dc2569878db8f071e2324eb5f76f3e0a","observation_id":"8fa4fcd6-dd2b-4686-abb4-51a589436198","resolution":{"observed_at":"2026-05-11T03:05:53.171872Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":"2410.07752","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-07-02T19:07:17.473192Z","title":"Lost in time: A new temporal benchmark for videollms","venue":null,"work_id":"8eb5b83d-8383-4120-a32e-cfa7e77ae46a","year":2024},"citing_paper":{"arxiv_id":"2605.15342","last_updated":"2026-05-14T19:12:20Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T19:12:20Z","title":"Minerva-Ego: Spatiotemporal Hints for Egocentric Video Understanding","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-19T16:02:53.887605Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2605.15342"},"observation_digest":"sha256:ace1de5458d7fabad18dd4e8659a5fb31c5a2a24d64effac1498fcafed03b878","observation_id":"eb6ab733-4622-4b3b-85ec-36cb1c12f2cc","resolution":{"observed_at":"2026-05-19T16:03:08.026421Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":"2410.07752","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-07-02T19:07:17.473192Z","title":"Lost in time: A new temporal benchmark for videollms","venue":null,"work_id":"8eb5b83d-8383-4120-a32e-cfa7e77ae46a","year":2024},"citing_paper":{"arxiv_id":"2605.21988","last_updated":"2026-05-21T04:38:02Z","snapshot_observed_at":"2026-07-06T23:32:20.708664Z","submitted_at":"2026-05-21T04:38:02Z","title":"Learning Spatiotemporal Sensitivity in Video LLMs via Counterfactual Reinforcement Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-22T07:45:56.473188Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2605.21988"},"observation_digest":"sha256:6edb9dea5da576d9e09a9f3f6a196ed989ecde37071cd73bcfea2c0a75d0e26b","observation_id":"e8bd32cd-f16d-464d-ac4b-2b0408354d5c","resolution":{"observed_at":"2026-05-22T07:46:14.915462Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":"2410.07752","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-07-02T19:07:17.473192Z","title":"Lost in time: A new temporal benchmark for videollms","venue":null,"work_id":"8eb5b83d-8383-4120-a32e-cfa7e77ae46a","year":2024},"citing_paper":{"arxiv_id":"2605.22570","last_updated":"2026-05-21T14:48:35Z","snapshot_observed_at":"2026-08-02T20:47:32.000183Z","submitted_at":"2026-05-21T14:48:35Z","title":"VGenST-Bench: A Benchmark for Spatio-Temporal Reasoning via Active Video Synthesis","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-22T07:12:02.612292Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2605.22570"},"observation_digest":"sha256:fd750a1e5daf20c66bf935a887c32db020933c66f5351ca42a7963cdca76e532","observation_id":"b9223b89-0eee-487b-a66d-6691a801b119","resolution":{"observed_at":"2026-05-22T07:14:42.891160Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":"2410.07752","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-07-02T19:07:17.473192Z","title":"Lost in time: A new temporal benchmark for videollms","venue":null,"work_id":"8eb5b83d-8383-4120-a32e-cfa7e77ae46a","year":2024},"citing_paper":{"arxiv_id":"2605.22823","last_updated":"2026-05-21T17:59:56Z","snapshot_observed_at":"2026-07-30T22:55:34.671958Z","submitted_at":"2026-05-21T17:59:56Z","title":"Which Way Did It Move? Diagnosing and Overcoming Directional Motion Blindness in Video-LLMs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-22T05:41:39.396469Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2605.22823"},"observation_digest":"sha256:ac32572248b82e9bc7f1c9dc673e8dce73d1089b0adee9bd341494f5e5c18043","observation_id":"54d8863a-6e9a-4d9b-94d0-2e2186023ae7","resolution":{"observed_at":"2026-05-22T05:44:38.756827Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":"2410.07752","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-07-02T19:07:17.473192Z","title":"Lost in time: A new temporal benchmark for videollms","venue":null,"work_id":"8eb5b83d-8383-4120-a32e-cfa7e77ae46a","year":2024},"citing_paper":{"arxiv_id":"2607.00248","last_updated":"2026-06-30T22:57:43Z","snapshot_observed_at":"2026-08-10T13:03:15.648925Z","submitted_at":"2026-06-30T22:57:43Z","title":"Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-02T18:57:46.841456Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2607.00248"},"observation_digest":"sha256:36a4bafadfc0163477c3e7dd1af1bd4ddecb4899dcc4d80a317c6309bd27dac2","observation_id":"41b3e6fe-42de-40a4-820c-17a67258d8c3","resolution":{"observed_at":"2026-07-02T19:07:17.474609Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-07-14T07:12:52.433947Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.11078","last_updated":"2026-07-13T04:37:07Z","snapshot_observed_at":"2026-08-10T12:02:26.837249Z","submitted_at":"2026-07-13T04:37:07Z","title":"Do Video-LLMs Actually Watch? Diagnosing Character-Tracking Failures in Long-Form Video","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-14T07:12:52.433947Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2607.11078"},"observation_digest":"sha256:b6b7a27fe6d49da89e3867f2fa8ad75d81947fb31a3c1706efae0e9a1e824d69","observation_id":"00b81ec2-478a-4f2e-81e9-cce4e09940af","resolution":{"observed_at":"2026-07-14T07:12:52.433947Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-08-02T05:39:58.511387Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.13305","last_updated":"2026-07-14T22:15:50Z","snapshot_observed_at":"2026-08-04T07:12:56.462277Z","submitted_at":"2026-07-14T22:15:50Z","title":"Accuracy Without Grounding: Diagnosing Visual Dependency Dissociation in Video LLM Benchmarks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T05:39:58.511387Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2607.13305"},"observation_digest":"sha256:a41c415537e6199f4950afc0d8dbcc8dd8312c112e86ab91ed6eff1af7cd06fd","observation_id":"9bddb493-8b2a-4d5b-9e5e-2f5ace7445cc","resolution":{"observed_at":"2026-08-02T05:39:58.511387Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-08-02T00:44:46.152973Z","title":"Tvbench: Re- designing video-language evaluation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.14935","last_updated":"2026-07-16T12:47:59Z","snapshot_observed_at":"2026-08-09T10:08:14.840784Z","submitted_at":"2026-07-16T12:47:59Z","title":"VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-02T00:44:46.152973Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2607.14935"},"observation_digest":"sha256:4f450ab3dd34c029018385b32d7750626290feee2862ebe5eb6751affa43545a","observation_id":"8e3ba013-2d83-496e-9ee5-82869176d604","resolution":{"observed_at":"2026-08-02T00:44:46.152973Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07752","snapshot_observed_at":"2026-08-04T17:24:16.126597Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01980","last_updated":"2026-08-03T09:42:42Z","snapshot_observed_at":"2026-08-08T12:51:52.547346Z","submitted_at":"2026-08-03T09:42:42Z","title":"AdaThinkV: Adaptive Thinking for Token-Efficient Video Reasoning","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-04T17:24:16.126597Z"},"links":{"cited_paper":"/paper/2410.07752","citing_paper":"/paper/2608.01980"},"observation_digest":"sha256:26b7a1442343590b8f9885730a5a2d62646ba90ec2daffc63521b0c66a71b730","observation_id":"24a8a509-1e7d-4172-b845-151ab4876e45","resolution":{"observed_at":"2026-08-04T17:24:16.126597Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2410.07752/citation-record","integrity":"/paper/2410.07752/integrity","json":"/paper/2410.07752/citation-record.json","paper":"/paper/2410.07752"},"outbound":[],"paper":{"arxiv_id":"2410.07752","last_updated":"2025-03-25T09:46:02Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T12:02:14.593194Z","submitted_at":"2024-10-10T09:28:36Z","title":"Lost in Time: A New Temporal Benchmark for VideoLLMs"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2410.07752."}