{"as_of":"2026-08-08T23:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d9dfe5ae110967298c89db0fe14e878aa39fbd9ab9bf21232f86f626732969b6","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T10:33:28.192145Z","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":"2026-06-29T19:13:53.457689Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.04688","last_updated":"2025-03-06T18:31:41Z","snapshot_observed_at":"2026-08-07T17:23:53.951993Z","submitted_at":"2025-03-06T18:31:41Z","title":"Teach YOLO to Remember: A Self-Distillation Approach for Continual Object Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.04688","snapshot_observed_at":"2026-08-06T10:33:28.192145Z","title":"https://doi.org/10.48550/arXiv.2503.04688, arXiv:2503.04688 [cs]","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.23648","last_updated":"2025-07-31T15:25:49Z","snapshot_observed_at":"2026-08-06T10:33:26.083773Z","submitted_at":"2025-07-31T15:25:49Z","title":"Towards Field-Ready AI-based Malaria Diagnosis: A Continual Learning Approach","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T10:33:28.192145Z"},"links":{"cited_paper":"/paper/2503.04688","citing_paper":"/paper/2507.23648"},"observation_digest":"sha256:b1f543989e56e2799b4d5d52f66c617271bf14ff6ad4082cf3def29f99af4219","observation_id":"0ee18d49-c03b-40d4-9abe-d9d15e50a3ce","resolution":{"observed_at":"2026-08-06T10:33:28.192145Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.04688","last_updated":"2025-03-06T18:31:41Z","snapshot_observed_at":"2026-08-07T17:23:53.951993Z","submitted_at":"2025-03-06T18:31:41Z","title":"Teach YOLO to Remember: A Self-Distillation Approach for Continual Object Detection","version":1},"cited_work":{"arxiv_id":"2503.04688","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.04688","snapshot_observed_at":"2026-06-29T19:13:53.457689Z","title":null,"venue":null,"work_id":"c2c7aa88-2eb5-4105-987c-5e16d71c310d","year":2025},"citing_paper":{"arxiv_id":"2606.27831","last_updated":"2026-06-26T08:17:03Z","snapshot_observed_at":"2026-07-07T00:01:59.695342Z","submitted_at":"2026-06-26T08:17:03Z","title":"Hippocampus-DETR: An Explicit Memory Object Detection Framework Based on Hippocampus Modeling","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-29T04:47:16.684080Z"},"links":{"cited_paper":"/paper/2503.04688","citing_paper":"/paper/2606.27831"},"observation_digest":"sha256:95a62de0286ec78a8f98db8aebecdcd79c9f3e5667b9a718a139a642708cadd5","observation_id":"566689d6-ef82-41c9-8004-7d2a1ee8b582","resolution":{"observed_at":"2026-06-29T19:13:53.459037Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2503.04688/citation-record","integrity":"/paper/2503.04688/integrity","json":"/paper/2503.04688/citation-record.json","paper":"/paper/2503.04688"},"outbound":[],"paper":{"arxiv_id":"2503.04688","last_updated":"2025-03-06T18:31:41Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T17:23:53.951993Z","submitted_at":"2025-03-06T18:31:41Z","title":"Teach YOLO to Remember: A Self-Distillation Approach for Continual 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 2 inbound Pith citation observations for arXiv:2503.04688."}