{"as_of":"2026-08-21T10:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3ed01ca1ded98d8bff6055e7c56cf88f1c0b87a867376df3deaf481dcbe1837d","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":"2026-08-21T06:32:19.484+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":"2026-08-15T21:41:19.183657Z","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":"2026-05-10T09:28:38.789511Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.02824","last_updated":"2024-05-07T02:17:59Z","snapshot_observed_at":"2026-08-20T09:05:58.429696Z","submitted_at":"2024-05-05T06:21:58Z","title":"Adaptive Guidance Learning for Camouflaged Object Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.02824","snapshot_observed_at":"2026-08-15T21:41:19.183657Z","title":"Adaptive Guid- ance Learning for Camouflaged Object Detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.09168","last_updated":"2025-05-14T06:03:53Z","snapshot_observed_at":"2026-08-17T12:53:39.894742Z","submitted_at":"2025-05-14T06:03:53Z","title":"DRRNet: Macro-Micro Feature Fusion and Dual Reverse Refinement for Camouflaged Object Detection","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-15T21:41:19.183657Z"},"links":{"cited_paper":"/paper/2405.02824","citing_paper":"/paper/2505.09168"},"observation_digest":"sha256:70b8c98f277373fd235836bbddb16e57e80de251a7ed6a29837a9323e9d71d17","observation_id":"f272c816-cbc1-4174-9fab-38971bda7467","resolution":{"observed_at":"2026-08-15T21:41:19.183657Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.02824","last_updated":"2024-05-07T02:17:59Z","snapshot_observed_at":"2026-08-20T09:05:58.429696Z","submitted_at":"2024-05-05T06:21:58Z","title":"Adaptive Guidance Learning for Camouflaged Object Detection","version":2},"cited_work":{"arxiv_id":"2405.02824","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.02824","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Adaptive guid- ance learning for camouflaged object detection","venue":null,"work_id":"5989f590-a766-4d68-bbe3-e65427aef230","year":2024},"citing_paper":{"arxiv_id":"2604.15654","last_updated":"2026-04-17T03:13:56Z","snapshot_observed_at":"2026-08-10T23:16:18.703335Z","submitted_at":"2026-04-17T03:13:56Z","title":"From Zero to Detail: A Progressive Spectral Decoupling Paradigm for UHD Image Restoration with New Benchmark","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-05-10T09:26:09.420365Z"},"links":{"cited_paper":"/paper/2405.02824","citing_paper":"/paper/2604.15654"},"observation_digest":"sha256:cb4737a2bbc9dbcddd74c331e80790d939caf4ea46a05aa9949609203f2f438b","observation_id":"bf37e882-239e-4fdb-b3d7-6a6270caff33","resolution":{"observed_at":"2026-05-10T09:28:38.790909Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2405.02824/citation-record","integrity":"/paper/2405.02824/integrity","json":"/paper/2405.02824/citation-record.json","paper":"/paper/2405.02824"},"outbound":[],"paper":{"arxiv_id":"2405.02824","last_updated":"2024-05-07T02:17:59Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-20T09:05:58.429696Z","submitted_at":"2024-05-05T06:21:58Z","title":"Adaptive Guidance Learning for Camouflaged 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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.02824."}