{"as_of":"2026-08-11T04:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:493d80c43d94c669bb1bbebae351d1d9530fea13073c789e98be140b347da4cd","coverage":[{"denominator":83,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":83,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:41:39.882037Z","state":"measured"},{"denominator":86,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":86,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-14T19:27:29.843866Z","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":"2026-07-10T12:15:01.137692Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"cited_work":{"arxiv_id":"2506.07371","doi":"10.48550/arxiv.2506.07371","metadata_source":"arxiv_reference","pith_arxiv_id":"2506.07371","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"ARGUS: Hallucination and omission evaluation in video-LLMs.ArXiv preprint, abs/2506.07371, 2025","venue":null,"work_id":"387eec55-8cdd-4298-9202-bde10b6e9a99","year":2025},"citing_paper":{"arxiv_id":"2604.22226","last_updated":"2026-07-13T04:05:34Z","snapshot_observed_at":"2026-07-16T23:18:42.650626Z","submitted_at":"2026-04-24T05:02:03Z","title":"Towards Temporal Compositional Reasoning in Long-Form Sports Videos","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-08T12:45:50.422679Z"},"links":{"cited_paper":"/paper/2506.07371","citing_paper":"/paper/2604.22226"},"observation_digest":"sha256:fe4820e993615a1dc1933a882f16f33bb7c7b4ca9e57b4deac3f3f8821d15f5e","observation_id":"5b0bf116-a3cc-4bbf-a064-779e84b2e2d4","resolution":{"observed_at":"2026-05-08T21:34:15.466797Z","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":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.07371","snapshot_observed_at":"2026-07-14T19:27:29.843866Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2604.22226","last_updated":"2026-07-13T04:05:34Z","snapshot_observed_at":"2026-07-16T23:18:42.650626Z","submitted_at":"2026-04-24T05:02:03Z","title":"Towards Temporal Compositional Reasoning in Long-Form Sports Videos","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-14T19:27:29.843866Z"},"links":{"cited_paper":"/paper/2506.07371","citing_paper":"/paper/2604.22226"},"observation_digest":"sha256:ea1557cf0b28cc0ed3ee88dd06b773eb6bcfa50f17c0d7f3a9913ca437b24cac","observation_id":"a51a5976-a148-47b5-b556-9b23dbc5f62a","resolution":{"observed_at":"2026-07-14T19:27:29.843866Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"cited_work":{"arxiv_id":"2506.07371","doi":"10.48550/arxiv.2506.07371","metadata_source":"arxiv_reference","pith_arxiv_id":"2506.07371","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"ARGUS: Hallucination and omission evaluation in video-LLMs.ArXiv preprint, abs/2506.07371, 2025","venue":null,"work_id":"387eec55-8cdd-4298-9202-bde10b6e9a99","year":2025},"citing_paper":{"arxiv_id":"2605.28023","last_updated":"2026-05-27T06:27:04Z","snapshot_observed_at":"2026-08-02T21:20:31.316522Z","submitted_at":"2026-05-27T06:27:04Z","title":"VCap: Hypergeometric Rewards for Weak-to-Strong Visual Captioning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-29T13:13:57.599970Z"},"links":{"cited_paper":"/paper/2506.07371","citing_paper":"/paper/2605.28023"},"observation_digest":"sha256:145be698a732920bd8c64faa21b70be46efe1ed196d12f943b5a6997ef225c4e","observation_id":"3cd54224-1dff-4d00-bfe9-a76e6a256085","resolution":{"observed_at":"2026-06-29T13:23:28.469585Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2506.07371/citation-record","integrity":"/paper/2506.07371/integrity","json":"/paper/2506.07371/citation-record.json","paper":"/paper/2506.07371"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:39.567708Z","title":"https://huggingface.co/ blog/smolvlm2, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.567708Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:cea55cf5e821b70b52bb5e78553b359289c69cb64eb785d0c417dfa67278fc73","observation_id":"590dd849-9fdc-4cb2-9c2a-a8d657e5fcdf","resolution":{"observed_at":"2026-08-07T05:41:39.567708Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T05:41:39.572337Z","title":"Gpt-4 technical report","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.572337Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:63acf6d32ef237c51547f858d569b79f737ff657f617fce43257927fb6770a6f","observation_id":"53434356-bcfc-4a62-85aa-714e81b14705","resolution":{"observed_at":"2026-08-07T05:41:39.572337Z","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":"2026-08-07T05:41:39.576307Z","title":"Are language models better at generating an- swers or validating solutions?, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.576307Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:2890a62df45d96583f4ba0b664ab5739661b2633ab9cd3d36cf6ede63b82046e","observation_id":"97e9437a-4105-4dda-b307-0f1fcec02fb2","resolution":{"observed_at":"2026-08-07T05:41:39.576307Z","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":"2026-08-07T05:41:39.580023Z","title":"The snli corpus","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.580023Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:8bdf5223012c190d32034c49964b73ec82d2a55c82aaa293ee9d60ea97380168","observation_id":"594055c8-92bc-44cd-8a98-098970bdff97","resolution":{"observed_at":"2026-08-07T05:41:39.580023Z","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":"2026-08-07T05:41:41.009809Z","title":"Activitynet: A large-scale video benchmark for human activity understanding","venue":null,"work_id":"bd5c27f6-2b4c-4fd3-ab15-3a0905896642","year":2015},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.583724Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:53a06aa137bca6b55e810fdb736f669983e2923dd7c9a0beda8267cf40414c07","observation_id":"23e3db30-430d-4ab3-938e-ffee2a357ce6","resolution":{"observed_at":"2026-08-07T05:41:41.013891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.997840Z","title":"e-snli: Natural language inference with natural language explanations","venue":null,"work_id":"10ae2847-1405-4936-a5a8-d0b60dc0acba","year":2018},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.587569Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:4e927399459d086d66e5a2a451b92561ebd29aaac8dce372edf97111144cb148","observation_id":"b0071cc1-0381-46c1-bc38-2c8f19ae1834","resolution":{"observed_at":"2026-08-07T05:41:41.001815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03051","last_updated":"2025-04-09T06:24:14Z","snapshot_observed_at":"2026-08-10T13:01:50.105472Z","submitted_at":"2024-10-04T00:13:54Z","title":"AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03051","snapshot_observed_at":"2026-08-07T05:41:39.591343Z","title":"Auroracap: Efficient, performant video detailed captioning and a new benchmark","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.591343Z"},"links":{"cited_paper":"/paper/2410.03051","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:8e687c3e8b11a9cf57937c792468499969849fe0829ddbe3f7ca8ece37004d8b","observation_id":"ea527a28-a167-4066-bada-0ccd3e18f566","resolution":{"observed_at":"2026-08-07T05:41:39.591343Z","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":"2026-08-07T05:41:40.986327Z","title":"Panda-70m: Captioning 70m videos with multiple cross-modality teachers","venue":null,"work_id":"78710285-2fc9-436e-8a50-744f7262a6c0","year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.595465Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:e028c5aa9f8dbf537eb0edf6b82694cd7dbf95b92963972b5717998ead987e38","observation_id":"de01e0d6-572a-471e-be62-177d0913e4fd","resolution":{"observed_at":"2026-08-07T05:41:40.990292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.14167","last_updated":"2021-06-10T05:36:30Z","snapshot_observed_at":"2026-08-08T20:41:55.928469Z","submitted_at":"2021-05-29T01:02:40Z","title":"NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning","version":3},"cited_work":{"arxiv_id":"2105.14167","doi":null,"metadata_source":"pith","pith_arxiv_id":"2105.14167","snapshot_observed_at":"2026-08-07T05:41:40.497214Z","title":"NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning","venue":"cs.CL","work_id":"cd159a4a-bc5b-4577-877d-80b96b617097","year":2021},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.599610Z"},"links":{"cited_paper":"/paper/2105.14167","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:b404f4aba4ae80f252e2678f4ada468cedb97fe5011727f2f041a0a56e4f40e7","observation_id":"e3b75960-d454-47e7-94a1-33433d9612bc","resolution":{"observed_at":"2026-08-07T05:41:40.503375Z","resolver_source":"local_arxiv","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":"2412.05271","last_updated":"2025-09-26T12:52:41Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-06T18:57:08Z","title":"Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.05271","snapshot_observed_at":"2026-08-07T05:41:39.603674Z","title":"Expanding performance boundaries of open-source multimodal models with model, data, and test- time scaling","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.603674Z"},"links":{"cited_paper":"/paper/2412.05271","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:d8042e022503bf0a09cb05ccaf59368591d9b7e111244f3fda56846c09fc7d32","observation_id":"8f774eab-0042-4aef-909f-e623f53af606","resolution":{"observed_at":"2026-08-07T05:41:39.603674Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.16821","last_updated":"2024-04-29T20:24:30Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-04-25T17:59:19Z","title":"How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.16821","snapshot_observed_at":"2026-08-07T05:41:39.607296Z","title":"How far are we to gpt-4v? closing the gap to commercial multimodal models with open- source suites","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.607296Z"},"links":{"cited_paper":"/paper/2404.16821","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:ce700111414e7fd20e7003d4cb660abde9f22be38139a7cfb64eeee435836724","observation_id":"daada15a-9842-4e3e-9409-13fce30079e2","resolution":{"observed_at":"2026-08-07T05:41:39.607296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.16771","last_updated":"2026-04-23T13:21:19Z","snapshot_observed_at":"2026-08-02T03:20:43.405143Z","submitted_at":"2024-11-25T06:17:23Z","title":"VidHal: Benchmarking Temporal Hallucinations in Vision LLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.16771","snapshot_observed_at":"2026-08-07T05:41:39.611326Z","title":"Vidhal: Benchmarking temporal hallucinations in vi- sion llms","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.611326Z"},"links":{"cited_paper":"/paper/2411.16771","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:ee088a17c16f2734bf63c534f27bfd1615183e8bd9438181b05fcab773f2b3ce","observation_id":"8ff0d009-fb19-4dac-9bd3-b6c8c90a9cfa","resolution":{"observed_at":"2026-08-07T05:41:39.611326Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1809.02922","last_updated":"2018-09-11T00:38:25Z","snapshot_observed_at":"2026-08-05T03:36:25.488527Z","submitted_at":"2018-09-09T05:03:34Z","title":"Transforming Question Answering Datasets Into Natural Language Inference Datasets","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.02922","snapshot_observed_at":"2026-08-07T05:41:39.615131Z","title":"Trans- forming question answering datasets into natural language inference datasets","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.615131Z"},"links":{"cited_paper":"/paper/1809.02922","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:08f4759941e76d01a9f2aa3dcd8135a1f7a29ff653bb2019a9fdb3fe52707a57","observation_id":"8790372f-2667-4003-8322-fb3d0e44679f","resolution":{"observed_at":"2026-08-07T05:41:39.615131Z","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":"2026-08-07T05:41:40.974426Z","title":"Sketch, ground, and refine: Top-down dense video caption- ing","venue":null,"work_id":"7e7dcd26-e5e6-4cc4-b0e1-651406b9d82e","year":2021},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.618862Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:11fb696e87aa64a823e4894fa56d855604bd3207b50efc667a03e9ed040939fd","observation_id":"cc096888-3b71-41e3-b9eb-acd30d47cd74","resolution":{"observed_at":"2026-08-07T05:41:40.978542Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.963144Z","title":"diffusers/shot-categorizer-v0","venue":null,"work_id":"1c5007f7-322e-4426-ab01-50800f0c45d5","year":2025},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.622535Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:4efece37d76f3bd84ba52cf3e34cb7406751eeae4313c3322216f7eb0e3086cb","observation_id":"0f633d05-c3ae-4abc-99e4-cdd89b624e87","resolution":{"observed_at":"2026-08-07T05:41:40.966853Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.951617Z","title":"Eva: Exploring the limits of masked visual representa- tion learning at scale","venue":null,"work_id":"2d1d258c-2a7e-4493-847f-12107aeb0187","year":2023},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.626122Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:388e9817eddabe6e8ff81a1dea3fa4a01c94009cceddcc756b8cb0cdc31201a0","observation_id":"11436196-dc89-46e8-992c-55015e1c57bb","resolution":{"observed_at":"2026-08-07T05:41:40.955434Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.08656","last_updated":"2024-06-12T21:41:32Z","snapshot_observed_at":"2026-08-09T14:33:45.074869Z","submitted_at":"2024-06-12T21:41:32Z","title":"TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.08656","snapshot_observed_at":"2026-08-07T05:41:39.629628Z","title":"Tc-bench: Benchmark- ing temporal compositionality in text-to-video and image-to- video generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.629628Z"},"links":{"cited_paper":"/paper/2406.08656","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:5e11b16d4bed5e4b130b94a8e9cfa17470c6b521c1693318aee3cd73e2bbc7f0","observation_id":"f9d3a925-7cf2-41e0-8c54-ce28d147afb5","resolution":{"observed_at":"2026-08-07T05:41:39.629628Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.21075","last_updated":"2025-05-30T13:08:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-05-31T17:59:47Z","title":"Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.21075","snapshot_observed_at":"2026-08-07T05:41:39.633535Z","title":"Video-mme: The first-ever compre- hensive evaluation benchmark of multi-modal llms in video analysis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.633535Z"},"links":{"cited_paper":"/paper/2405.21075","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:ec243a830fbad3525a13b35b7feccc1c38e6998b209588ccf54393d0390e323c","observation_id":"7f920541-4fe9-4695-b8a7-0ec9e816b893","resolution":{"observed_at":"2026-08-07T05:41:39.633535Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.11171","last_updated":"2023-10-18T19:16:18Z","snapshot_observed_at":"2026-08-07T19:21:58.184123Z","submitted_at":"2023-05-18T17:58:35Z","title":"TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.11171","snapshot_observed_at":"2026-08-07T05:41:39.637353Z","title":"Trueteacher: Learning factual 9 consistency evaluation with large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.637353Z"},"links":{"cited_paper":"/paper/2305.11171","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:a3f4ff4f2b347185f1af3bf1c0d3ccf1f5654c6f6f165134afbcc31fdb97dc43","observation_id":"604cd840-4811-4ca3-a5b2-7c32a906c890","resolution":{"observed_at":"2026-08-07T05:41:39.637353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-10T16:40:37.411115Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-07T05:41:39.641007Z","title":"The llama 3 herd of models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.641007Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:5a2b38e79a109be3637dde4727c176fef8a77432bacd73be31448431006976ac","observation_id":"853c9b63-4469-4c28-985b-029a6dc028ad","resolution":{"observed_at":"2026-08-07T05:41:39.641007Z","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":"2026-08-07T05:41:40.940028Z","title":"Ego4d: Around the world in 3,000 hours of egocentric video","venue":null,"work_id":"2f871afb-f291-4dda-895e-044885d8b854","year":2022},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.644523Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:853105f4047305c12baae73c6a3286b8fa1c41f1f0660cb526a40b04279f6167","observation_id":"e5e70f61-5368-4429-8731-bf0fa61fdcde","resolution":{"observed_at":"2026-08-07T05:41:40.943884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.928223Z","title":"Hallusionbench: an advanced diagnos- tic suite for entangled language hallucination and visual il- lusion in large vision-language models","venue":null,"work_id":"95c6b3c1-b1ed-433c-857e-13f65db8890f","year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.648115Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:27458758890eab5104242b9e9b2605d7a23d83233456d1cace4df1e7977f1793","observation_id":"497078f1-6181-4f4c-8d86-578b877f8d17","resolution":{"observed_at":"2026-08-07T05:41:40.932298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-07T05:41:39.652319Z","title":"Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.652319Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:f341793a36cd398f78940c3ae70edc8b93d8b472e78d0138eb2cb70ea9a75eb7","observation_id":"8e79c9fe-81c7-4c4b-871e-10cfeb9b434c","resolution":{"observed_at":"2026-08-07T05:41:39.652319Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.02301","last_updated":"2023-11-24T07:07:03Z","snapshot_observed_at":"2026-08-10T18:10:23.564401Z","submitted_at":"2023-09-05T15:06:37Z","title":"CIEM: Contrastive Instruction Evaluation Method for Better Instruction Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.02301","snapshot_observed_at":"2026-08-07T05:41:39.656753Z","title":"Ciem: Contrastive instruction evaluation method for better instruction tuning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.656753Z"},"links":{"cited_paper":"/paper/2309.02301","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:64cfc885bb29056a937ddf5b51d2fb530b2c368346b706725dfdc0eaa8c27b87","observation_id":"78b48fdc-9398-45be-8cdf-acb5b6892294","resolution":{"observed_at":"2026-08-07T05:41:39.656753Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.08271","last_updated":"2020-08-11T09:17:48Z","snapshot_observed_at":"2026-08-04T09:29:58.364575Z","submitted_at":"2020-05-17T15:00:05Z","title":"A Better Use of Audio-Visual Cues: Dense Video Captioning with Bi-modal Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.08271","snapshot_observed_at":"2026-08-07T05:41:39.660603Z","title":"A better use of audio-visual cues: Dense video captioning with bi-modal transformer","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.660603Z"},"links":{"cited_paper":"/paper/2005.08271","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:3c66a573557224d65d51f0eeca19a734dce3fb765b96483f7e176b5361822c92","observation_id":"9d6a5c6b-4b6b-4c48-a86b-7691c995894f","resolution":{"observed_at":"2026-08-07T05:41:39.660603Z","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":"2026-08-07T05:41:40.916655Z","title":"Multi-modal dense video captioning","venue":null,"work_id":"1c9c5260-9110-4e8e-bad6-b39e13e83de3","year":2020},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.664440Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:316c7a3d37faf69ca9f57dd1b0dd154dd69865f55d5c5239be902a5abd93fbc0","observation_id":"842241d2-a3ab-4efa-8959-58b73cfcc793","resolution":{"observed_at":"2026-08-07T05:41:40.920539Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.01477","last_updated":"2024-09-26T19:44:31Z","snapshot_observed_at":"2026-08-09T19:48:23.597382Z","submitted_at":"2023-11-02T01:21:45Z","title":"FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.01477","snapshot_observed_at":"2026-08-07T05:41:39.667967Z","title":"Faith- score: Fine-grained evaluations of hallucinations in large vision-language models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.667967Z"},"links":{"cited_paper":"/paper/2311.01477","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:89bcb45309ec22840f20cb36f4322e936944864b6b64d42120d1bf113842f6b1","observation_id":"c9a6224b-e33c-4b5d-8107-1ccf937b0b42","resolution":{"observed_at":"2026-08-07T05:41:39.667967Z","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":"2026-08-07T05:41:40.904886Z","title":"Throne: An object-based hallucination benchmark for the free-form generations of large vision-language models","venue":null,"work_id":"b6bc78e3-018a-408d-8232-581662f8dd43","year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.672119Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:928c412725dbd3adb00bcfe2d59464377965bdb9b7bcb38f622e65eed4abca57","observation_id":"bb8401a1-1690-4515-8742-939acb8bcdab","resolution":{"observed_at":"2026-08-07T05:41:40.908766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.893533Z","title":"Do you remember? dense video captioning with cross-modal memory retrieval","venue":null,"work_id":"41171852-2bf4-4496-8a0d-95343ea19fe4","year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.675772Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:e46bf430567bf8abe17e4beb6dbda59bcd1bfaa921b7a554c5a11c78e1820971","observation_id":"dc8eae4b-c5fa-4bfa-a9b4-4288505245ed","resolution":{"observed_at":"2026-08-07T05:41:40.897385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03326","last_updated":"2024-10-26T16:35:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-08-06T17:59:44Z","title":"LLaVA-OneVision: Easy Visual Task Transfer","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03326","snapshot_observed_at":"2026-08-07T05:41:39.679348Z","title":"Llava-onevision: Easy visual task transfer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.679348Z"},"links":{"cited_paper":"/paper/2408.03326","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:d985913f34c21665928e1181d715c8480caeba633e4040d9e92aa66e63308530","observation_id":"0a44e6d2-41bf-4282-94e6-6f4739e841e9","resolution":{"observed_at":"2026-08-07T05:41:39.679348Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.05579","last_updated":"2024-12-10T05:49:12Z","snapshot_observed_at":"2026-07-31T01:42:39.468673Z","submitted_at":"2024-12-07T08:07:24Z","title":"LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.05579","snapshot_observed_at":"2026-08-07T05:41:39.683048Z","title":"Llms-as-judges: a com- prehensive survey on llm-based evaluation methods","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.683048Z"},"links":{"cited_paper":"/paper/2412.05579","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:bd5040e8d65f629e0f8d8c9ed7a5a4de483f7cb212c76910f008ca1616016f51","observation_id":"9e51ca5a-fd6e-436d-8e09-b1acf0016e1a","resolution":{"observed_at":"2026-08-07T05:41:39.683048Z","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":"2026-08-07T05:41:40.880574Z","title":"Jointly localizing and describing events for dense video captioning","venue":null,"work_id":"97c979c3-6ef3-4e6b-a767-2b3053090de3","year":null},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.687410Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:be23e16116d8e295fc02d2334be175fb535a3c691fc97ed352c462b7ac9421cf","observation_id":"3235d002-c515-44c3-bca8-56d0f099ac3c","resolution":{"observed_at":"2026-08-07T05:41:40.885454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.10355","last_updated":"2023-10-26T02:52:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-05-17T16:34:01Z","title":"Evaluating Object Hallucination in Large Vision-Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.10355","snapshot_observed_at":"2026-08-07T05:41:39.691477Z","title":"Evaluating object hallucina- tion in large vision-language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.691477Z"},"links":{"cited_paper":"/paper/2305.10355","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:4c9a6ae74ccf37065fe8267c6ffa97716f156ff09fd07420b502690c437ac658","observation_id":"0faea484-9839-4129-a027-1a92b565eff9","resolution":{"observed_at":"2026-08-07T05:41:39.691477Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.01879","last_updated":"2024-05-15T07:15:05Z","snapshot_observed_at":"2026-07-06T15:37:23.958419Z","submitted_at":"2023-06-02T19:19:43Z","title":"Revisiting the Role of Language Priors in Vision-Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.01879","snapshot_observed_at":"2026-08-07T05:41:39.695176Z","title":"Revisiting the role of lan- guage priors in vision-language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.695176Z"},"links":{"cited_paper":"/paper/2306.01879","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:826cc11f335edbcc8a08425495d43e6f892c00496a153bed2a3d8b51646e52a0","observation_id":"ecbdd126-2c17-4950-8c3c-f65d8f2cea17","resolution":{"observed_at":"2026-08-07T05:41:39.695176Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19437","last_updated":"2025-02-18T17:26:38Z","snapshot_observed_at":"2026-08-11T01:48:59.557045Z","submitted_at":"2024-12-27T04:03:16Z","title":"DeepSeek-V3 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.19437","snapshot_observed_at":"2026-08-07T05:41:39.699034Z","title":"Deepseek-v3 technical report","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.699034Z"},"links":{"cited_paper":"/paper/2412.19437","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:b55f7901a69866eba27c42181417713a127fef4858705febcbb4ca234d7fe8fc","observation_id":"f391b0fa-d002-4c69-bccb-db675f60a44d","resolution":{"observed_at":"2026-08-07T05:41:39.699034Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.14565","last_updated":"2024-03-19T22:53:25Z","snapshot_observed_at":"2026-08-06T22:33:34.254048Z","submitted_at":"2023-06-26T10:26:33Z","title":"Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.14565","snapshot_observed_at":"2026-08-07T05:41:39.702539Z","title":"Mitigating hallucination in large multi-modal models via robust instruction tuning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.702539Z"},"links":{"cited_paper":"/paper/2306.14565","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:1343ff3437bef4b5cd295cedee17c05b379bf4201739a7c2184d27b630c9572e","observation_id":"64f98fc9-7c03-41f9-8be1-ef8aa579352d","resolution":{"observed_at":"2026-08-07T05:41:39.702539Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.00253","last_updated":"2024-05-06T01:10:01Z","snapshot_observed_at":"2026-08-11T03:31:28.001151Z","submitted_at":"2024-02-01T00:33:21Z","title":"A Survey on Hallucination in Large Vision-Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.00253","snapshot_observed_at":"2026-08-07T05:41:39.706447Z","title":"A survey on hallucination in large vision-language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.706447Z"},"links":{"cited_paper":"/paper/2402.00253","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:04f922c2b6490aa2b2e1d741eadaa3a8b0af0c432191fcc0154571e20f7bd4b2","observation_id":"7ccf135e-3002-481c-b3af-6b83f96d1452","resolution":{"observed_at":"2026-08-07T05:41:39.706447Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.09100","last_updated":"2025-02-13T09:19:14Z","snapshot_observed_at":"2026-08-08T16:42:15.458453Z","submitted_at":"2025-02-13T09:19:14Z","title":"Logical Reasoning in Large Language Models: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.09100","snapshot_observed_at":"2026-08-07T05:41:39.710210Z","title":"Logical rea- soning in large language models: A survey","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.710210Z"},"links":{"cited_paper":"/paper/2502.09100","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:040a5dc8447c438294093cd8bbf13eccbf5b7e629766dea03cc957039bdc6505","observation_id":"e2b20e15-00a1-4698-bfd0-95a6354a65c2","resolution":{"observed_at":"2026-08-07T05:41:39.710210Z","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":"2026-08-07T05:41:40.869123Z","title":"Egoschema: A diagnostic benchmark for very long- form video language understanding","venue":null,"work_id":"de5dcf9f-55a6-4878-9e5d-676f24d4bab5","year":2023},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.714030Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:8019992463d2159e4c07d0eff59a8554f793daabfe80cf8506603101053b2f9c","observation_id":"9330aa65-f803-4b44-b874-5622c5d3b6e6","resolution":{"observed_at":"2026-08-07T05:41:40.873149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.857532Z","title":"Streamlined dense video captioning","venue":null,"work_id":"b70e5e94-681c-4898-8021-bb34af5c7d46","year":2019},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.717536Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:25a8d6be1eedba44dea4d6784f80b50f44f65798da9833d8c1c17a1702c47b56","observation_id":"d20a118c-b451-4449-931b-f595327e946e","resolution":{"observed_at":"2026-08-07T05:41:40.861710Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.09582","last_updated":"2025-01-18T00:52:42Z","snapshot_observed_at":"2026-08-10T11:57:20.644731Z","submitted_at":"2024-12-12T18:54:48Z","title":"Neptune: The Long Orbit to Benchmarking Long Video Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.09582","snapshot_observed_at":"2026-08-07T05:41:39.721179Z","title":"Neptune: The long orbit to benchmarking long video under- standing","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.721179Z"},"links":{"cited_paper":"/paper/2412.09582","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:d9cc7682bbb612cf09e4e0a41ee9aeb03926f6890534969894d3befd2eb30036","observation_id":"40e8b251-8ace-4e9d-ba64-119b03a54a5b","resolution":{"observed_at":"2026-08-07T05:41:39.721179Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.00681","last_updated":"2025-05-01T17:41:49Z","snapshot_observed_at":"2026-08-07T15:57:19.254893Z","submitted_at":"2025-05-01T17:41:49Z","title":"MINERVA: Evaluating Complex Video Reasoning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.00681","snapshot_observed_at":"2026-08-07T05:41:39.724979Z","title":"Minerva: Evaluating complex video reasoning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.724979Z"},"links":{"cited_paper":"/paper/2505.00681","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:5eaa00d560f8ac6b7f1c827311924cf76c1fc39e4ceb24990fca3703971337b4","observation_id":"d340bd51-3c6c-4172-b062-c3df7d13eb43","resolution":{"observed_at":"2026-08-07T05:41:39.724979Z","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":"2026-08-07T05:41:40.845894Z","title":null,"venue":null,"work_id":"157e6d4e-aaec-4adc-9828-63117abebd6f","year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.729103Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:28505d1e86641de256dab758324fbf1b94c627e3d68700b09b5cecfd8026eb62","observation_id":"28a66fb7-a3a0-4adf-b23a-f80e97d8af3a","resolution":{"observed_at":"2026-08-07T05:41:40.849414Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.834719Z","title":"Per- ception test: A diagnostic benchmark for multimodal video models","venue":null,"work_id":"c6e63bff-0b01-4879-b71f-0963196e1e5a","year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.732461Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:e6621818a5a94fddee188c27175d2438f59ae6c8f6755a74b4d3c01bc83a7843","observation_id":"cb402e6e-1dd4-485f-83f1-c6ef69ce98b7","resolution":{"observed_at":"2026-08-07T05:41:40.838364Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.823368Z","title":"Dense video captioning: A survey of techniques, datasets and evalu- ation protocols","venue":null,"work_id":"a4ac0bb7-126f-48a3-bd3b-cdd33cd7b9d1","year":2025},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.736074Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:9867a19e3a191cf5aae7c189d6ff0e375826285d9094ca5c3b47f40a0ac2cc70","observation_id":"fc36960e-67ce-4338-be28-82def6011f08","resolution":{"observed_at":"2026-08-07T05:41:40.827001Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.810756Z","title":"Learning transferable visual models from natural language supervi- sion","venue":null,"work_id":"fe246627-baf0-4d7b-a0a2-149baf027f68","year":2021},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.739626Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:9339540d9d6333f0195612db1d77d4c9c2fece306e0af3f3a4c45af130aae6f8","observation_id":"d9522d15-3ffc-4202-8232-b29cd8fb2c3f","resolution":{"observed_at":"2026-08-07T05:41:40.815178Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.00714","last_updated":"2024-10-28T16:37:57Z","snapshot_observed_at":"2026-07-06T18:55:41.459417Z","submitted_at":"2024-08-01T17:00:08Z","title":"SAM 2: Segment Anything in Images and Videos","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.00714","snapshot_observed_at":"2026-08-07T05:41:39.743102Z","title":"Sam 2: Segment anything in images and videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.743102Z"},"links":{"cited_paper":"/paper/2408.00714","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:adf719252a7a20f171f27905097e7392c151059bf968e20dbf9bc08288e59e9c","observation_id":"8b0b80fd-8d51-4c1e-8171-e57f3938b3aa","resolution":{"observed_at":"2026-08-07T05:41:39.743102Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.08813","last_updated":"2024-10-21T03:08:08Z","snapshot_observed_at":"2026-08-07T17:42:30.374808Z","submitted_at":"2024-05-14T17:59:02Z","title":"CinePile: A Long Video Question Answering Dataset and Benchmark","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.08813","snapshot_observed_at":"2026-08-07T05:41:39.746918Z","title":"Cinepile: A long video question answering dataset and benchmark","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.746918Z"},"links":{"cited_paper":"/paper/2405.08813","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:2ed8317c641ba7b6d3a2f16f255eff2e474b7e977e2521a06a3912c02f953cd5","observation_id":"c327895c-27f6-407b-a9e4-89b92372a249","resolution":{"observed_at":"2026-08-07T05:41:39.746918Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1809.02156","last_updated":"2019-03-29T23:48:52Z","snapshot_observed_at":"2026-08-10T08:25:28.506770Z","submitted_at":"2018-09-06T18:25:18Z","title":"Object Hallucination in Image Captioning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.02156","snapshot_observed_at":"2026-08-07T05:41:39.750672Z","title":"Object hallucination in image cap- tioning","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.750672Z"},"links":{"cited_paper":"/paper/1809.02156","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:f76980fc81b5ba65bd64c7ebce2c30d556bb9a9b64c1f866eb939ab7b033b783","observation_id":"3474a064-b49d-4ea5-a3d0-0a392fdbebd6","resolution":{"observed_at":"2026-08-07T05:41:39.750672Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.02270","last_updated":"2024-08-31T07:30:59Z","snapshot_observed_at":"2026-08-11T03:21:33.481753Z","submitted_at":"2024-03-04T17:57:18Z","title":"FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim Extraction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.02270","snapshot_observed_at":"2026-08-07T05:41:39.754931Z","title":"Fenice: Factuality evaluation of summarization based on nat- ural language inference and claim extraction","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.754931Z"},"links":{"cited_paper":"/paper/2403.02270","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:e46140c45af04e365f6cab099b6ad5e50c098caf16444621e14f4f6f408ab4d9","observation_id":"bfc6ec04-dc45-4cbe-b75c-726f0cd293ea","resolution":{"observed_at":"2026-08-07T05:41:39.754931Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.14525","last_updated":"2023-09-25T20:59:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-09-25T20:59:33Z","title":"Aligning Large Multimodal Models with Factually Augmented RLHF","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.14525","snapshot_observed_at":"2026-08-07T05:41:39.758699Z","title":"Aligning large multi- modal models with factually augmented rlhf","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.758699Z"},"links":{"cited_paper":"/paper/2309.14525","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:747af1b068b690cd6f41f08dc58a74dac2fb1184b7b468e9d74170ff9d14a02a","observation_id":"968c5eb9-0ece-4a9d-b022-39ef207dc3b0","resolution":{"observed_at":"2026-08-07T05:41:39.758699Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-08-07T05:41:39.762539Z","title":"Gemini: a family of highly capable multimodal models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.762539Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:992c8e3ba88edc3d84ddeac630250b83ae58b0af37417ec9144bd581cb20256a","observation_id":"032d637b-cfd8-4f28-90b0-4a4a011601a5","resolution":{"observed_at":"2026-08-07T05:41:39.762539Z","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":"2026-08-07T05:41:40.798909Z","title":"Laion-aesthetics predictor v1","venue":null,"work_id":"b641d272-663b-4a60-827f-c8b5e9fdc4d1","year":null},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.766700Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:878c7d97140610695867605cd5948a555d4e84f725dc542455b5327925cf8ec4","observation_id":"78c9d01d-10fd-482b-a514-635336999edc","resolution":{"observed_at":"2026-08-07T05:41:40.802807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.772779Z","title":"Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training","venue":null,"work_id":"d2cf3af7-98e4-4298-9b5c-f00d43f70d2d","year":2022},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.774382Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:9093e5700abf302fc51d850b79fc802f3a7215caea8e0f452f82e8c5a58d6e3e","observation_id":"b189f98f-a727-4500-ab51-687af6709944","resolution":{"observed_at":"2026-08-07T05:41:40.777404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.07397","last_updated":"2024-02-23T07:54:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-11-13T15:25:42Z","title":"AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.07397","snapshot_observed_at":"2026-08-07T05:41:39.778625Z","title":"Amber: An llm-free multi-dimensional bench- mark for mllms hallucination evaluation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.778625Z"},"links":{"cited_paper":"/paper/2311.07397","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:586b9b088b59184e75751d3ddc563c00b457ce4f93196e7c7d5cb2b7a1b05dd2","observation_id":"beccbad5-5d4a-48a8-9403-44c96a1d2121","resolution":{"observed_at":"2026-08-07T05:41:39.778625Z","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":"2026-08-07T05:41:40.760264Z","title":"End-to-end dense video captioning with parallel decoding","venue":null,"work_id":"7fb3ce2a-a06d-4d6e-aee3-22f6505f2f54","year":2021},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.782388Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:f5296edf05edf0af1d8c8f247626a43efc4e0278addf878a1cda8336c440ac64","observation_id":"272f68dc-8c74-48c3-841d-1b0aea410c5a","resolution":{"observed_at":"2026-08-07T05:41:40.764422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.08035","last_updated":"2025-08-09T10:54:59Z","snapshot_observed_at":"2026-08-08T19:38:26.415599Z","submitted_at":"2024-06-12T09:36:52Z","title":"LVBench: An Extreme Long Video Understanding Benchmark","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.08035","snapshot_observed_at":"2026-08-07T05:41:39.786245Z","title":"Lvbench: An extreme long video understanding benchmark","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.786245Z"},"links":{"cited_paper":"/paper/2406.08035","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:e1fc9abf52fb12dd7399ad169f92888f90fc3015b9d9d23479daee14a3225a03","observation_id":"46706f6f-7aae-4888-9b32-f568e6a899ee","resolution":{"observed_at":"2026-08-07T05:41:39.786245Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.16338","last_updated":"2024-06-24T06:21:59Z","snapshot_observed_at":"2026-08-10T16:12:17.227151Z","submitted_at":"2024-06-24T06:21:59Z","title":"VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.16338","snapshot_observed_at":"2026-08-07T05:41:39.790898Z","title":"Videohallucer: Evaluating intrinsic and extrinsic hallucinations in large video-language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.790898Z"},"links":{"cited_paper":"/paper/2406.16338","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:966f7e94a818a87b3ce3b15890fca4a2fb0c8375d154ae3aeba28447d152876a","observation_id":"d7d201a4-5e4f-4a6d-b11d-e3d890e46e7a","resolution":{"observed_at":"2026-08-07T05:41:39.790898Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1704.05426","last_updated":"2018-02-19T19:19:51Z","snapshot_observed_at":"2026-08-11T00:55:53.228136Z","submitted_at":"2017-04-18T17:10:13Z","title":"A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1704.05426","snapshot_observed_at":"2026-08-07T05:41:39.795166Z","title":"A broad-coverage challenge corpus for sentence understanding through inference","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.795166Z"},"links":{"cited_paper":"/paper/1704.05426","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:ff04cce147be58e42e0e58a7f592467999972f300705a4460ca8abcfcd9b0b41","observation_id":"237327f6-1c10-4e24-9a56-bc0da2a5377d","resolution":{"observed_at":"2026-08-07T05:41:39.795166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.12729","last_updated":"2020-10-24T01:03:51Z","snapshot_observed_at":"2026-08-03T13:02:31.619559Z","submitted_at":"2020-10-24T01:03:51Z","title":"ANLIzing the Adversarial Natural Language Inference Dataset","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.12729","snapshot_observed_at":"2026-08-07T05:41:39.799211Z","title":"Anliz- ing the adversarial natural language inference dataset","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.799211Z"},"links":{"cited_paper":"/paper/2010.12729","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:e53fe7121abb0ef9526cc9fad2cfa2d38b2aed8c4263f6e871594c116086f1e7","observation_id":"7121c4c7-ecc8-4b16-883c-ddc3e5f5fa3b","resolution":{"observed_at":"2026-08-07T05:41:39.799211Z","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":"2026-08-07T05:41:40.747543Z","title":"Joint event detection and description in continuous video streams","venue":null,"work_id":"d3576b00-dc4b-4c14-8d2a-ce269a23d9fd","year":2019},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.802826Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:52a6c8a9a85e757361f2bf705cad5b733c4f0e86955fc7de570fcc270537ebbf","observation_id":"9981f233-237e-49e4-ac79-383070b7792c","resolution":{"observed_at":"2026-08-07T05:41:40.751725Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15115","last_updated":"2025-01-03T02:18:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-19T17:56:09Z","title":"Qwen2.5 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15115","snapshot_observed_at":"2026-08-07T05:41:39.806096Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.806096Z"},"links":{"cited_paper":"/paper/2412.15115","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:4cc71bef343ae9300dccbe4c5c2e828d421d7f66930007b25fee9202881b2dac","observation_id":"c428ba8b-8618-4704-899e-92a1a8d914a6","resolution":{"observed_at":"2026-08-07T05:41:39.806096Z","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":"2026-08-07T05:41:40.734684Z","title":"mplug- owl3: Towards long image-sequence understanding in multi- modal large language models","venue":null,"work_id":"4e7c07af-a23c-45e2-9402-7480a2878a78","year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.809799Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:34e7799cc25740079c0f0dba0a941e1e37817d4f60f05916b2f752ffdff26a74","observation_id":"f4cc3595-ad19-4bfd-85b0-93f590950b96","resolution":{"observed_at":"2026-08-07T05:41:40.739115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.721983Z","title":"Sigmoid loss for language image pre-training","venue":null,"work_id":"b1472b25-7e6f-4a1b-b52a-56e862689873","year":2023},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.813223Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:55112bfdfd1b027e361d449199792b51f9f59a9766484da2765ffcba94699954","observation_id":"60c2cd09-2368-4c53-911d-ff2627913e71","resolution":{"observed_at":"2026-08-07T05:41:40.726197Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:39.816835Z","title":"Eventhallusion: Diagnosing event hal- lucinations in video llms","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.816835Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:b5d1b4fce540b2de411e2d81c590d1fcf26ab52d2f7f9ddf65849ec43ab2c10c","observation_id":"ab331a25-ef26-468e-ad59-7ec1fcd9dcda","resolution":{"observed_at":"2026-08-07T05:41:39.816835Z","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":"2026-08-07T05:41:39.820651Z","title":"Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in Neural Information Processing Systems, 36:46595–46623, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.820651Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:609e30cd90a4e5998b4437ef4bdba9f25bcab0a2be928b72b0f168d6903fa202","observation_id":"7b627c57-0fa4-443d-aa50-408e9acd89d6","resolution":{"observed_at":"2026-08-07T05:41:39.820651Z","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":"2026-08-07T05:41:40.702577Z","title":"Streaming dense video captioning","venue":null,"work_id":"326c8468-f2e6-475e-b1b5-32987300534a","year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.824330Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:23f62d55c6f6e7954947ef5aa781f8e587a03e480b477a8b1e231cea59b6aee8","observation_id":"d81ab276-303d-48da-a435-cf4ae4673279","resolution":{"observed_at":"2026-08-07T05:41:40.706493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.10360","last_updated":"2024-12-13T18:53:24Z","snapshot_observed_at":"2026-08-06T08:59:28.938249Z","submitted_at":"2024-12-13T18:53:24Z","title":"Apollo: An Exploration of Video Understanding in Large Multimodal Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.10360","snapshot_observed_at":"2026-08-07T05:41:39.827734Z","title":"Yes” (confirming the presence of information in the video) and another “leading/hallucinated","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.827734Z"},"links":{"cited_paper":"/paper/2412.10360","citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:dbc1c56aedacafffe88bebccc31881c6df9f51319494ca455f6c55a6a8cd5d9f","observation_id":"1645717c-29a1-4eb3-8e9f-e7e2978c2325","resolution":{"observed_at":"2026-08-07T05:41:39.827734Z","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":"2026-08-07T05:41:40.690951Z","title":"In our setting, we adapt this score by computing the average aesthetic score across all frames in a video","venue":null,"work_id":"78f8695b-7966-44a9-8e95-760449a64cab","year":null},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.832859Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:498681c96d22185cba923a9af63af880d3cb998078085ac3e22cb0d2f26a7277","observation_id":"9bc41f06-770e-412a-8654-003eee6d9964","resolution":{"observed_at":"2026-08-07T05:41:40.695010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.679473Z","title":"diffusers/shot-categorizer-v0 [15] to identify the lighting type in each frame of a video","venue":null,"work_id":"6aa5f493-d2f2-41a4-960b-dfef9240a17b","year":null},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.836490Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:7911dd444b4f953992114607c53c0a7290b15b6a1a0f74832ceb6d57926e813a","observation_id":"a92f3c8c-df99-4e6f-aadd-e7b7c0d94160","resolution":{"observed_at":"2026-08-07T05:41:40.683387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.668450Z","title":"a person is cooking,","venue":null,"work_id":"0e0433ef-7c6b-4c67-9c27-f020ea0d4fa3","year":null},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.840081Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:369833245490516cfc9bf30635b732225516fe1476ce65f21829e16ac0c2fd00","observation_id":"b1979757-13bc-4feb-afa8-5ffe89da3e24","resolution":{"observed_at":"2026-08-07T05:41:40.672044Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.656994Z","title":null,"venue":null,"work_id":"0619a912-1cb0-4a2a-bad6-acbcf62c42c5","year":null},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.844299Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:e11caa18cae3ff4617f87aceaf78eef2e52ab987791dac1cb9796ff507fd9bd3","observation_id":"b5dc5497-1941-4a4e-a037-0e819dc33584","resolution":{"observed_at":"2026-08-07T05:41:40.660632Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.645240Z","title":"- **Contradiction**: Contains information that directly conflicts and is unsupported by the source_caption","venue":null,"work_id":"31bc5242-d549-4b52-9226-2e787ba66852","year":null},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.848075Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:acf52645c273b877259869129d0dc9031b25aecb18071a865b5fce21ef85adea","observation_id":"a1c91468-e8e7-4dcd-8dfd-409e2c306c54","resolution":{"observed_at":"2026-08-07T05:41:40.649092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.633610Z","title":"\"\" {source_caption}","venue":null,"work_id":"d71baef5-71bd-4475-91b5-f076821bd955","year":2008},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.851733Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:6de2254070e76156d8700fe8117b6b996a3019e02f70879e95295ddf3abd7dc7","observation_id":"727e4eac-d3d9-4867-a2e0-5c17aad0d6db","resolution":{"observed_at":"2026-08-07T05:41:40.637407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.621958Z","title":"SUNFEAST PASTA TREAT,","venue":null,"work_id":"a9964ba8-90db-4d59-ac20-d59fa1464739","year":2008},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.855285Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:821ffd477b018694db361a8f0e89dc62dbd6cd4933e3b6b9bcfd628b44f47afc","observation_id":"85d31883-22d3-4a3e-b194-0a7dc71a8c82","resolution":{"observed_at":"2026-08-07T05:41:40.625690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.610539Z","title":null,"venue":null,"work_id":"580ecc1d-f1cc-49cb-b9da-f35c1ad2d6e3","year":null},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.858986Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:a5a30bafa05769e9e5362661b2dcbdfa65c5d100818b765e1d7ac2380ea9ef73","observation_id":"874c3d87-e3e1-44de-ac49-63f4c3ab4484","resolution":{"observed_at":"2026-08-07T05:41:40.614091Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.597280Z","title":"Sunfeast Pasta Treat","venue":null,"work_id":"a94703ad-fb11-4c9c-af5a-b1bca311f80d","year":null},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.863928Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:c05801c8b3adbcabedc509b6fdcaa3777080bb7f04e7503f4b3cc40ffeb87490","observation_id":"3ab7b8ee-7814-4c1e-aec7-01350acc8e0b","resolution":{"observed_at":"2026-08-07T05:41:40.602040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.584597Z","title":null,"venue":null,"work_id":"04392ed0-ffb0-44e9-8c75-adb322a27684","year":null},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.867425Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:dcb5abd70f4de77f44a06bd5eb128720abe009bbfc6e127ad807bd0101b22474","observation_id":"2699120f-4ad9-4311-94d9-262fa15f5fa6","resolution":{"observed_at":"2026-08-07T05:41:40.588373Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.572671Z","title":null,"venue":null,"work_id":"c0baa30e-a2c9-43b9-b9c2-421cda3aa464","year":null},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.871096Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:bf2f288cfb00c621f3ce87ffc1bfe37c469f12f57417a228487b5c0068b8f5e5","observation_id":"a3a9c83b-57be-44b6-9dae-4d84078b2644","resolution":{"observed_at":"2026-08-07T05:41:40.576484Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.560636Z","title":null,"venue":null,"work_id":"1ac9d073-d78d-4ad9-a507-1da320d24cfc","year":null},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.874517Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:4d5b095c4ec0582d397f124d6744a47df79b378d4b467e142d1a1fb6c96a38a1","observation_id":"ed7cf2fa-d875-45eb-9b67-1e041f8e2702","resolution":{"observed_at":"2026-08-07T05:41:40.564348Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.548795Z","title":"Recipe Card","venue":null,"work_id":"8000e303-0429-45de-ae57-2b61a847bbdd","year":null},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.878424Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:e5d184ae95e0c7bf39ce290ba29e5c702696360953b7bed8a8d75773c09ab7f1","observation_id":"87586a80-fd26-450d-8225-09c6a45c0483","resolution":{"observed_at":"2026-08-07T05:41:40.552588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.536594Z","title":"Quick and Easy","venue":null,"work_id":"af2ad54b-a94e-4fe5-8da6-be28e7249cb9","year":null},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.882037Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:13626459d03181c4c742f177c7f074d59cc0109619c77e491ca1f941423ac449","observation_id":"fb88127b-ae8a-4e03-a2b4-ac02c886da56","resolution":{"observed_at":"2026-08-07T05:41:40.540599Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:40.786426Z","title":null,"venue":null,"work_id":"0c4a5b23-49e2-40b9-adb0-a1c10fa1b2d0","year":null},"citing_paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:39.770832Z"},"links":{"citing_paper":"/paper/2506.07371"},"observation_digest":"sha256:81dd75a8a4ddde71c522a7e3e000e127eb809785f4e0211a36e7754533748993","observation_id":"278b13a9-a20b-4cf0-8118-c70e186f7894","resolution":{"observed_at":"2026-08-07T05:41:40.790525Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.07371","last_updated":"2025-06-10T13:33:53Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T15:59:53.622703Z","submitted_at":"2025-06-09T02:42:13Z","title":"ARGUS: Hallucination and Omission Evaluation in Video-LLMs"},"reference_resolution":{"displayed":83,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":49,"verified_exact":1,"verified_fuzzy":32},"total_outbound_references":83},"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 11 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 3 inbound Pith citation observations for arXiv:2506.07371."}