{"as_of":"2026-08-08T07:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:eedfb3d9632c67ba71da382a8b242a864217fd594c721f2f3e54c9a3ba6ec206","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:44:01.653149Z","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":"2026-08-07T06:16:28.064256Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.24389","last_updated":"2025-03-31T17:59:52Z","snapshot_observed_at":"2026-08-07T16:20:01.515174Z","submitted_at":"2025-03-31T17:59:52Z","title":"SU-YOLO: Spiking Neural Network for Efficient Underwater Object Detection","version":1},"cited_work":{"arxiv_id":"2503.24389","doi":"10.48550/arxiv.2503.24389","metadata_source":"pith","pith_arxiv_id":"2503.24389","snapshot_observed_at":"2026-08-07T06:16:28.064256Z","title":"SU-YOLO: Spiking Neural Network for Efficient Underwater Object Detection","venue":"cs.CV","work_id":"9007b284-682e-4c8f-9122-1dfd0c34aa8a","year":2025},"citing_paper":{"arxiv_id":"2506.23505","last_updated":"2025-06-30T04:06:50Z","snapshot_observed_at":"2026-08-08T06:27:15.192845Z","submitted_at":"2025-06-30T04:06:50Z","title":"Improve Underwater Object Detection through YOLOv12 Architecture and Physics-informed Augmentation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T21:44:01.653149Z"},"links":{"cited_paper":"/paper/2503.24389","citing_paper":"/paper/2506.23505"},"observation_digest":"sha256:cb86a5d2278707acce1cbb241dee8b133205fd52708c184cb6e87ad38d7793a4","observation_id":"3d848e03-eebd-45fb-960c-3ae0f615af32","resolution":{"observed_at":"2026-08-06T21:44:02.526293Z","resolver_source":"local_arxiv","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"}}],"links":{"evidence":"/evidence","html":"/paper/2503.24389/citation-record","integrity":"/paper/2503.24389/integrity","json":"/paper/2503.24389/citation-record.json","paper":"/paper/2503.24389"},"outbound":[],"paper":{"arxiv_id":"2503.24389","last_updated":"2025-03-31T17:59:52Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T16:20:01.515174Z","submitted_at":"2025-03-31T17:59:52Z","title":"SU-YOLO: Spiking Neural Network for Efficient Underwater Object Detection"},"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 1 inbound Pith citation observation for arXiv:2503.24389."}