{"as_of":"2026-08-08T21:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ebfbde5db84587ba3277d6e35a9d585d9531f8b8b16209c08e3fed9e47d5d464","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":"2026-08-07T13:49:41.518405Z","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":"2026-08-05T22:03:10.207435Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.07662","last_updated":"2023-07-14T23:54:49Z","snapshot_observed_at":"2026-08-07T07:02:05.346930Z","submitted_at":"2023-07-14T23:54:49Z","title":"MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.07662","snapshot_observed_at":"2026-08-07T13:49:41.518405Z","title":"Ma and Y","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20884","last_updated":"2025-08-01T06:40:20Z","snapshot_observed_at":"2026-08-07T13:42:58.476476Z","submitted_at":"2025-05-27T08:29:07Z","title":"YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:41.518405Z"},"links":{"cited_paper":"/paper/2307.07662","citing_paper":"/paper/2505.20884"},"observation_digest":"sha256:0ea6735c26c90139cdb2565dece0999fb60fc9452efd009438f418506e67c669","observation_id":"b2d7acf2-6e4e-4485-a3f6-62777a89b2c4","resolution":{"observed_at":"2026-08-07T13:49:41.518405Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.07662","last_updated":"2023-07-14T23:54:49Z","snapshot_observed_at":"2026-08-07T07:02:05.346930Z","submitted_at":"2023-07-14T23:54:49Z","title":"MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression","version":1},"cited_work":{"arxiv_id":"2307.07662","doi":null,"metadata_source":"pith","pith_arxiv_id":"2307.07662","snapshot_observed_at":"2026-08-05T22:03:10.207435Z","title":"MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression","venue":"cs.CV","work_id":"670be342-069e-43f5-bfc8-bd9dfb698feb","year":2023},"citing_paper":{"arxiv_id":"2508.08339","last_updated":"2025-08-11T04:13:56Z","snapshot_observed_at":"2026-08-08T14:13:05.982332Z","submitted_at":"2025-08-11T04:13:56Z","title":"SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning","version":1},"reference_index":104,"source":"pdf_text","source_observed_at":"2026-08-05T22:03:09.782276Z"},"links":{"cited_paper":"/paper/2307.07662","citing_paper":"/paper/2508.08339"},"observation_digest":"sha256:507345d05718a4252424567bda71e248c8a3cfee159110a5411f53e1c9304b6e","observation_id":"d0da7826-efdd-4bc9-9ecf-29f40976f96c","resolution":{"observed_at":"2026-08-05T22:03:10.209947Z","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/2307.07662/citation-record","integrity":"/paper/2307.07662/integrity","json":"/paper/2307.07662/citation-record.json","paper":"/paper/2307.07662"},"outbound":[],"paper":{"arxiv_id":"2307.07662","last_updated":"2023-07-14T23:54:49Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T07:02:05.346930Z","submitted_at":"2023-07-14T23:54:49Z","title":"MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression"},"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:2307.07662."}