{"as_of":"2026-08-07T20:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:27be049a66dcb95f7cafa59cb9dbd1c20a81432304021530528148010f652ef6","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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":"2026-08-07T11:22:59.632117Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T19:25:09.140568Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2104.03178","last_updated":"2021-04-07T15:11:51Z","snapshot_observed_at":"2026-08-07T16:53:52.974291Z","submitted_at":"2021-04-07T15:11:51Z","title":"The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.03178","snapshot_observed_at":"2026-08-07T11:22:59.632117Z","title":"S.et al.The saras endoscopic surgeon action detection (esad) dataset: Challenges and methods.arXiv preprint arXiv:2104.03178(2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.02692","last_updated":"2025-06-03T09:42:54Z","snapshot_observed_at":"2026-08-07T16:54:54.104413Z","submitted_at":"2025-06-03T09:42:54Z","title":"Large-scale Self-supervised Video Foundation Model for Intelligent Surgery","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T11:22:59.632117Z"},"links":{"cited_paper":"/paper/2104.03178","citing_paper":"/paper/2506.02692"},"observation_digest":"sha256:c64dc032d49cb3320d12abe004e061706821dd27d4c8b876c6bb027fe46241f1","observation_id":"36000161-d57b-44a5-90ab-da456df2ac79","resolution":{"observed_at":"2026-08-07T11:22:59.632117Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.03178","last_updated":"2021-04-07T15:11:51Z","snapshot_observed_at":"2026-08-07T16:53:52.974291Z","submitted_at":"2021-04-07T15:11:51Z","title":"The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods","version":1},"cited_work":{"arxiv_id":"2104.03178","doi":null,"metadata_source":"pith","pith_arxiv_id":"2104.03178","snapshot_observed_at":"2026-08-06T19:25:09.140568Z","title":"The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods","venue":"cs.CV","work_id":"cbe82b20-7b01-4379-99ad-4fb6dd285ea4","year":2021},"citing_paper":{"arxiv_id":"2507.05675","last_updated":"2025-07-08T04:58:36Z","snapshot_observed_at":"2026-08-07T08:27:48.763738Z","submitted_at":"2025-07-08T04:58:36Z","title":"MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T19:25:08.471311Z"},"links":{"cited_paper":"/paper/2104.03178","citing_paper":"/paper/2507.05675"},"observation_digest":"sha256:57a5ec33af6229933c55c0832e421387cd1b0233b9c87da93933f9fbf450eda6","observation_id":"47b32b78-3570-4389-b981-9c564d7c76b3","resolution":{"observed_at":"2026-08-06T19:25:09.146157Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.03178","last_updated":"2021-04-07T15:11:51Z","snapshot_observed_at":"2026-08-07T16:53:52.974291Z","submitted_at":"2021-04-07T15:11:51Z","title":"The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.03178","snapshot_observed_at":"2026-07-11T19:36:47.488953Z","title":"The saras endoscopic surgeon action detection (esad) dataset: Challenges and methods,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.04378","last_updated":"2026-07-05T16:12:01Z","snapshot_observed_at":"2026-08-06T20:10:20.975088Z","submitted_at":"2026-07-05T16:12:01Z","title":"SurgAM: Surgical Affordance Map Prediction with Multimodal Feature Fusion for Robot Autonomy","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-11T19:36:47.488953Z"},"links":{"cited_paper":"/paper/2104.03178","citing_paper":"/paper/2607.04378"},"observation_digest":"sha256:f0a573cafc155f799871616df0e6275eebc51bfde8adfeef4903791774910bcc","observation_id":"97740936-b417-493e-88da-91304c4221ec","resolution":{"observed_at":"2026-07-11T19:36:47.488953Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2104.03178/citation-record","integrity":"/paper/2104.03178/integrity","json":"/paper/2104.03178/citation-record.json","paper":"/paper/2104.03178"},"outbound":[],"paper":{"arxiv_id":"2104.03178","last_updated":"2021-04-07T15:11:51Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T16:53:52.974291Z","submitted_at":"2021-04-07T15:11:51Z","title":"The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2104.03178."}