{"as_of":"2026-08-15T20:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:aa7ddae6da8ec4ffe5fa4247ee9ea3ed5e99157252d672b42f3e18e17882514b","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T20:54:16.286499Z","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":"2026-06-28T23:12:46.642138Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.18111","last_updated":"2024-09-26T17:53:04Z","snapshot_observed_at":"2026-08-12T23:24:06.583327Z","submitted_at":"2024-09-26T17:53:04Z","title":"E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.18111","snapshot_observed_at":"2026-08-11T20:54:16.286499Z","title":"Et bench: Towards open-ended event-level video-language understanding","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05185","last_updated":"2024-12-11T14:43:02Z","snapshot_observed_at":"2026-08-15T18:10:10.082702Z","submitted_at":"2024-12-06T17:04:42Z","title":"LinVT: Empower Your Image-level Large Language Model to Understand Videos","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T20:54:16.286499Z"},"links":{"cited_paper":"/paper/2409.18111","citing_paper":"/paper/2412.05185"},"observation_digest":"sha256:8f32d54e23607cca65ffb132c18d652d32cdddfa49c8a62333c0364228f7bc1f","observation_id":"86425931-5824-470a-b991-7e2b0337dc5a","resolution":{"observed_at":"2026-08-11T20:54:16.286499Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.18111","last_updated":"2024-09-26T17:53:04Z","snapshot_observed_at":"2026-08-12T23:24:06.583327Z","submitted_at":"2024-09-26T17:53:04Z","title":"E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.18111","snapshot_observed_at":"2026-08-07T12:32:52.655077Z","title":"Et bench: Towards open-ended event-level video-language understanding","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24329","last_updated":"2025-07-31T03:03:18Z","snapshot_observed_at":"2026-08-15T04:37:24.290803Z","submitted_at":"2025-05-30T08:10:18Z","title":"DisTime: Distribution-based Time Representation for Video Large Language Models","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T12:32:52.655077Z"},"links":{"cited_paper":"/paper/2409.18111","citing_paper":"/paper/2505.24329"},"observation_digest":"sha256:24b1cbf6ec30df8762a09aaef10d84403d9e07ddc782729f54a5f98925fde001","observation_id":"039de858-bae8-427b-a797-8f0160f23146","resolution":{"observed_at":"2026-08-07T12:32:52.655077Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.18111","last_updated":"2024-09-26T17:53:04Z","snapshot_observed_at":"2026-08-12T23:24:06.583327Z","submitted_at":"2024-09-26T17:53:04Z","title":"E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.18111","snapshot_observed_at":"2026-08-07T04:22:55.922688Z","title":"Et bench: Towards open-ended event-level video-language understanding","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10857","last_updated":"2025-08-04T09:11:48Z","snapshot_observed_at":"2026-08-12T05:13:28.322748Z","submitted_at":"2025-06-12T16:17:17Z","title":"VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T04:22:55.922688Z"},"links":{"cited_paper":"/paper/2409.18111","citing_paper":"/paper/2506.10857"},"observation_digest":"sha256:bd22f28753212d08a3baf443b414810615c79372fd9a38da38bbb37d37c50127","observation_id":"ca08579a-f769-47a9-87cc-a7bb7a4e650c","resolution":{"observed_at":"2026-08-07T04:22:55.922688Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.18111","last_updated":"2024-09-26T17:53:04Z","snapshot_observed_at":"2026-08-12T23:24:06.583327Z","submitted_at":"2024-09-26T17:53:04Z","title":"E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.18111","snapshot_observed_at":"2026-08-06T20:29:52.796096Z","title":"Et bench: Towards open-ended event-level video-language understanding","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.02591","last_updated":"2025-07-23T07:25:27Z","snapshot_observed_at":"2026-08-09T23:16:14.999128Z","submitted_at":"2025-07-03T12:55:16Z","title":"AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding","version":3},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T20:29:52.796096Z"},"links":{"cited_paper":"/paper/2409.18111","citing_paper":"/paper/2507.02591"},"observation_digest":"sha256:8ba9cce5dc3a710ea3481bc80a63a09540ad7f797e66edfa37ed07402659fb83","observation_id":"ec5d62f4-428d-4497-bbd9-08a8a5b08701","resolution":{"observed_at":"2026-08-06T20:29:52.796096Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.18111","last_updated":"2024-09-26T17:53:04Z","snapshot_observed_at":"2026-08-12T23:24:06.583327Z","submitted_at":"2024-09-26T17:53:04Z","title":"E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.18111","snapshot_observed_at":"2026-08-06T18:03:14.017689Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.09313","last_updated":"2025-07-15T11:48:07Z","snapshot_observed_at":"2026-08-14T15:26:21.155477Z","submitted_at":"2025-07-12T15:11:50Z","title":"ProactiveVideoQA: A Comprehensive Benchmark Evaluating Proactive Interactions in Video Large Language Models","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T18:03:14.017689Z"},"links":{"cited_paper":"/paper/2409.18111","citing_paper":"/paper/2507.09313"},"observation_digest":"sha256:53c8c49159994f51eda3d782602ebf98d11e08fa6b687a68838a8c7b2b50bf83","observation_id":"420a5d6b-82a0-4e9c-97f4-e00fa50e180c","resolution":{"observed_at":"2026-08-06T18:03:14.017689Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.18111","last_updated":"2024-09-26T17:53:04Z","snapshot_observed_at":"2026-08-12T23:24:06.583327Z","submitted_at":"2024-09-26T17:53:04Z","title":"E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding","version":1},"cited_work":{"arxiv_id":"2409.18111","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.18111","snapshot_observed_at":"2026-06-28T23:12:46.642138Z","title":"Bench: Towards Open-Ended Event-Level Video-Language Understanding , author=","venue":null,"work_id":"80ded684-229e-47d1-943d-d237db444584","year":2024},"citing_paper":{"arxiv_id":"2605.15342","last_updated":"2026-05-14T19:12:20Z","snapshot_observed_at":"2026-08-11T16:06:07.809854Z","submitted_at":"2026-05-14T19:12:20Z","title":"Minerva-Ego: Spatiotemporal Hints for Egocentric Video Understanding","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-19T16:02:53.887605Z"},"links":{"cited_paper":"/paper/2409.18111","citing_paper":"/paper/2605.15342"},"observation_digest":"sha256:a09a4d976149cc670c298b316da8dc086c76f656fd64540c971ebcd2e4b774aa","observation_id":"dbb30744-8dba-4a3a-814f-8920adb9b8f4","resolution":{"observed_at":"2026-05-19T16:03:08.056726Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.18111","last_updated":"2024-09-26T17:53:04Z","snapshot_observed_at":"2026-08-12T23:24:06.583327Z","submitted_at":"2024-09-26T17:53:04Z","title":"E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding","version":1},"cited_work":{"arxiv_id":"2409.18111","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.18111","snapshot_observed_at":"2026-06-28T23:12:46.642138Z","title":"Bench: Towards Open-Ended Event-Level Video-Language Understanding , author=","venue":null,"work_id":"80ded684-229e-47d1-943d-d237db444584","year":2024},"citing_paper":{"arxiv_id":"2605.17921","last_updated":"2026-06-01T06:29:58Z","snapshot_observed_at":"2026-08-15T01:27:26.647958Z","submitted_at":"2026-05-18T06:29:44Z","title":"An Efficient Streaming Video Understanding Framework with Agentic Control","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-05-20T11:30:22.151045Z"},"links":{"cited_paper":"/paper/2409.18111","citing_paper":"/paper/2605.17921"},"observation_digest":"sha256:02dad14b01528b1d00122570e0091aefb314bba5c0968be71eda5c7160d2863b","observation_id":"08226c30-4fac-4025-8537-5582c9283b83","resolution":{"observed_at":"2026-05-20T11:33:14.447270Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.18111","last_updated":"2024-09-26T17:53:04Z","snapshot_observed_at":"2026-08-12T23:24:06.583327Z","submitted_at":"2024-09-26T17:53:04Z","title":"E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding","version":1},"cited_work":{"arxiv_id":"2409.18111","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.18111","snapshot_observed_at":"2026-06-28T23:12:46.642138Z","title":"Bench: Towards Open-Ended Event-Level Video-Language Understanding , author=","venue":null,"work_id":"80ded684-229e-47d1-943d-d237db444584","year":2024},"citing_paper":{"arxiv_id":"2605.30673","last_updated":"2026-07-06T14:01:36Z","snapshot_observed_at":"2026-08-15T11:54:02.006644Z","submitted_at":"2026-05-29T00:06:54Z","title":"TeachObs: A Human-Validated Benchmark for Multimodal Teaching Observation and Model Evaluation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-28T23:11:43.712391Z"},"links":{"cited_paper":"/paper/2409.18111","citing_paper":"/paper/2605.30673"},"observation_digest":"sha256:362d3c75e36875e6f218034d2743592f9c295d7d5572e1faa62f03b9347a1596","observation_id":"ca3797d4-6e56-45df-9a2e-bf35d2f14a0e","resolution":{"observed_at":"2026-06-28T23:12:46.643590Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2409.18111/citation-record","integrity":"/paper/2409.18111/integrity","json":"/paper/2409.18111/citation-record.json","paper":"/paper/2409.18111"},"outbound":[],"paper":{"arxiv_id":"2409.18111","last_updated":"2024-09-26T17:53:04Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T23:24:06.583327Z","submitted_at":"2024-09-26T17:53:04Z","title":"E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2409.18111."}