{"as_of":"2026-08-08T09:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:82ea4170358e036faef8015ef8f98a81653dcfbef550f2b1033e99c66a74394e","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:32:00.519333Z","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":"2026-07-03T13:28:19.608052Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.10540","last_updated":"2024-04-19T20:15:45Z","snapshot_observed_at":"2026-07-06T18:00:57.091811Z","submitted_at":"2024-04-12T20:40:12Z","title":"SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.10540","snapshot_observed_at":"2026-08-07T00:32:00.519333Z","title":"arXiv preprint arXiv:2404.10540 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13722","last_updated":"2025-06-16T17:27:43Z","snapshot_observed_at":"2026-08-07T00:24:55.309727Z","submitted_at":"2025-06-16T17:27:43Z","title":"How Real is CARLAs Dynamic Vision Sensor? A Study on the Sim-to-Real Gap in Traffic Object Detection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T00:32:00.519333Z"},"links":{"cited_paper":"/paper/2404.10540","citing_paper":"/paper/2506.13722"},"observation_digest":"sha256:ed3f4e279d0ae91283071959d4a59decee0e60f48273bd3045f5e7c76d85c19e","observation_id":"a80024f8-1a6e-4c74-866c-bf2818d3bf92","resolution":{"observed_at":"2026-08-07T00:32:00.519333Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.10540","last_updated":"2024-04-19T20:15:45Z","snapshot_observed_at":"2026-07-06T18:00:57.091811Z","submitted_at":"2024-04-12T20:40:12Z","title":"SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.10540","snapshot_observed_at":"2026-08-06T17:02:05.831908Z","title":"Sevd: Synthetic event-based vision dataset for ego and fixed traffic perception,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.11910","last_updated":"2025-07-16T04:54:11Z","snapshot_observed_at":"2026-08-06T16:56:18.113564Z","submitted_at":"2025-07-16T04:54:11Z","title":"SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:05.831908Z"},"links":{"cited_paper":"/paper/2404.10540","citing_paper":"/paper/2507.11910"},"observation_digest":"sha256:98de8baa0488356c75094b7b18adeab75def03ad64f208624c69f60998d3187b","observation_id":"ea2a0eb5-e94c-458d-8ddb-4cf786e3e129","resolution":{"observed_at":"2026-08-06T17:02:05.831908Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.10540","last_updated":"2024-04-19T20:15:45Z","snapshot_observed_at":"2026-07-06T18:00:57.091811Z","submitted_at":"2024-04-12T20:40:12Z","title":"SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.10540","snapshot_observed_at":"2026-08-06T15:43:51.945186Z","title":"Sevd: Synthetic event-based vision dataset for ego and fixed traffic perception.arXiv preprint arXiv:2404.10540, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.15150","last_updated":"2025-07-20T23:02:23Z","snapshot_observed_at":"2026-08-06T15:37:09.172950Z","submitted_at":"2025-07-20T23:02:23Z","title":"Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T15:43:51.945186Z"},"links":{"cited_paper":"/paper/2404.10540","citing_paper":"/paper/2507.15150"},"observation_digest":"sha256:a99af43131ccc55bad81b1d6390469f000eec2a1cf93605eb8d455a136ac3e04","observation_id":"1ebcde2f-3f2f-4683-933c-74874c21cc35","resolution":{"observed_at":"2026-08-06T15:43:51.945186Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.10540","last_updated":"2024-04-19T20:15:45Z","snapshot_observed_at":"2026-07-06T18:00:57.091811Z","submitted_at":"2024-04-12T20:40:12Z","title":"SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception","version":2},"cited_work":{"arxiv_id":"2404.10540","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.10540","snapshot_observed_at":"2026-07-03T13:28:19.608052Z","title":"Sevd: Synthetic event-based vision dataset for ego and fixed traffic perception.arXiv preprint arXiv:2404.10540, 2024","venue":null,"work_id":"0df17962-3bef-46c5-b2d1-6d41551b8af0","year":2024},"citing_paper":{"arxiv_id":"2606.12826","last_updated":"2026-06-11T02:44:30Z","snapshot_observed_at":"2026-08-03T17:42:23.469928Z","submitted_at":"2026-06-11T02:44:30Z","title":"DIMOS: Disentangling Instance-level Moving Object Segmentation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-27T07:52:04.707076Z"},"links":{"cited_paper":"/paper/2404.10540","citing_paper":"/paper/2606.12826"},"observation_digest":"sha256:3583c3f625c695a033ba8b84449a6460c7021b70d129c89b3d83ea1d1531742e","observation_id":"4ff5f5b2-29c7-4ba6-9a94-ae9865381380","resolution":{"observed_at":"2026-07-03T13:28:19.609863Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.10540","last_updated":"2024-04-19T20:15:45Z","snapshot_observed_at":"2026-07-06T18:00:57.091811Z","submitted_at":"2024-04-12T20:40:12Z","title":"SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.10540","snapshot_observed_at":"2026-07-14T04:08:37.491436Z","title":"Sevd: Synthetic event-based vision dataset for ego and fixed traffic perception,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.11646","last_updated":"2026-07-13T14:59:46Z","snapshot_observed_at":"2026-08-07T19:15:45.093498Z","submitted_at":"2026-07-13T14:59:46Z","title":"Event-RGB Adaptive Tracking for Nighttime Highway Perception","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-14T04:08:37.491436Z"},"links":{"cited_paper":"/paper/2404.10540","citing_paper":"/paper/2607.11646"},"observation_digest":"sha256:abdd04c289cc6264fdeb9f73d2d1eff349c37ca2a3b432cedfdbdc6cd65fd0c6","observation_id":"be66ad67-22d7-4d73-a90e-cf78d9cc0d16","resolution":{"observed_at":"2026-07-14T04:08:37.491436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2404.10540/citation-record","integrity":"/paper/2404.10540/integrity","json":"/paper/2404.10540/citation-record.json","paper":"/paper/2404.10540"},"outbound":[],"paper":{"arxiv_id":"2404.10540","last_updated":"2024-04-19T20:15:45Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T18:00:57.091811Z","submitted_at":"2024-04-12T20:40:12Z","title":"SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.10540."}