{"as_of":"2026-08-17T16:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5c78a87f0061ef60a8d1f32279a467d7f38dc8d94b5b2bbc56c2994beb4a7322","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:17:17.405246Z","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":"2026-07-03T23:19:02.831705Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.04550","last_updated":"2025-04-06T16:58:23Z","snapshot_observed_at":"2026-08-16T12:43:34.952081Z","submitted_at":"2025-04-06T16:58:23Z","title":"Advancing Egocentric Video Question Answering with Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.04550","snapshot_observed_at":"2026-08-07T10:17:17.405246Z","title":"Advancing egocentric video question answering with multimodal large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.05787","last_updated":"2025-08-04T22:48:35Z","snapshot_observed_at":"2026-08-15T04:01:18.837639Z","submitted_at":"2025-06-06T06:33:16Z","title":"EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T10:17:17.405246Z"},"links":{"cited_paper":"/paper/2504.04550","citing_paper":"/paper/2506.05787"},"observation_digest":"sha256:cd321e6c021da30ae41b3e27cc1c774b593db56304c128cfa01a824d9d42ac38","observation_id":"774a6b2c-af99-406f-9b2f-ea360eb6f438","resolution":{"observed_at":"2026-08-07T10:17:17.405246Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.04550","last_updated":"2025-04-06T16:58:23Z","snapshot_observed_at":"2026-08-16T12:43:34.952081Z","submitted_at":"2025-04-06T16:58:23Z","title":"Advancing Egocentric Video Question Answering with Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":"2504.04550","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.04550","snapshot_observed_at":"2026-07-03T23:19:02.831705Z","title":"arXiv preprint arXiv:2504.04550 (2025)","venue":null,"work_id":"c3c153f6-6ef4-4511-8763-f12dade0b7d1","year":2025},"citing_paper":{"arxiv_id":"2606.09142","last_updated":"2026-06-08T07:39:42Z","snapshot_observed_at":"2026-08-09T11:06:36.870873Z","submitted_at":"2026-06-08T07:39:42Z","title":"Decoding Pedestrian Crossing Intention from Egocentric Vision via Vision Language Models","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-27T17:13:04.236686Z"},"links":{"cited_paper":"/paper/2504.04550","citing_paper":"/paper/2606.09142"},"observation_digest":"sha256:2f8328620ec24bc2916107afaa96686fd80cac2252dfdc3402f91a3c25619080","observation_id":"a80980e7-0192-4524-a0ef-2b0480689392","resolution":{"observed_at":"2026-07-03T00:27:29.683514Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.04550","last_updated":"2025-04-06T16:58:23Z","snapshot_observed_at":"2026-08-16T12:43:34.952081Z","submitted_at":"2025-04-06T16:58:23Z","title":"Advancing Egocentric Video Question Answering with Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":"2504.04550","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.04550","snapshot_observed_at":"2026-07-03T23:19:02.831705Z","title":"arXiv preprint arXiv:2504.04550 (2025)","venue":null,"work_id":"c3c153f6-6ef4-4511-8763-f12dade0b7d1","year":2025},"citing_paper":{"arxiv_id":"2606.13141","last_updated":"2026-06-11T10:05:49Z","snapshot_observed_at":"2026-07-06T23:51:55.044440Z","submitted_at":"2026-06-11T10:05:49Z","title":"Rethinking RAG in Long Videos: What to Retrieve and How to Use It?","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-06-27T06:30:33.428489Z"},"links":{"cited_paper":"/paper/2504.04550","citing_paper":"/paper/2606.13141"},"observation_digest":"sha256:8affb17df5135a56fb8c72728268b558ae8b49786e7828a41d3f3bd9f509c511","observation_id":"232806af-3369-49e0-b036-ebf3aad66e44","resolution":{"observed_at":"2026-07-03T15:28:33.955737Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.04550","last_updated":"2025-04-06T16:58:23Z","snapshot_observed_at":"2026-08-16T12:43:34.952081Z","submitted_at":"2025-04-06T16:58:23Z","title":"Advancing Egocentric Video Question Answering with Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":"2504.04550","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.04550","snapshot_observed_at":"2026-07-03T23:19:02.831705Z","title":"arXiv preprint arXiv:2504.04550 (2025)","venue":null,"work_id":"c3c153f6-6ef4-4511-8763-f12dade0b7d1","year":2025},"citing_paper":{"arxiv_id":"2606.25842","last_updated":"2026-07-02T12:05:36Z","snapshot_observed_at":"2026-08-07T13:16:29.055704Z","submitted_at":"2026-06-24T13:55:45Z","title":"Graph it first! Enabling Reasoning on Long-form Egocentric Videos through Scene Graphs","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-03T23:09:01.340759Z"},"links":{"cited_paper":"/paper/2504.04550","citing_paper":"/paper/2606.25842"},"observation_digest":"sha256:b99a3b68a2f993f0b57fe767360d35bbefca293c0016a254b408d284d7ddc6e1","observation_id":"cc847705-499d-4a27-a175-4d39eaadd2f1","resolution":{"observed_at":"2026-07-03T23:19:02.834424Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2504.04550/citation-record","integrity":"/paper/2504.04550/integrity","json":"/paper/2504.04550/citation-record.json","paper":"/paper/2504.04550"},"outbound":[],"paper":{"arxiv_id":"2504.04550","last_updated":"2025-04-06T16:58:23Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T12:43:34.952081Z","submitted_at":"2025-04-06T16:58:23Z","title":"Advancing Egocentric Video Question Answering with Multimodal Large Language Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.04550."}