{"as_of":"2026-08-09T20:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:91359c027d7df926861448bf093d38f1fe7d26039fa6a6faa3e4330c0668398c","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":"2026-08-09T06:31:02.800959+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":"2026-08-08T20:12:24.054778Z","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":"2026-05-20T17:53:36.579760Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.12029","last_updated":"2025-06-23T23:18:32Z","snapshot_observed_at":"2026-08-05T17:18:48.473625Z","submitted_at":"2024-03-18T17:58:02Z","title":"Align and Distill: Unifying and Improving Domain Adaptive Object Detection","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12029","snapshot_observed_at":"2026-08-08T20:12:24.054778Z","title":"Align and distill: Unifying and improving domain adaptive object detection","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.05129","last_updated":"2025-02-07T18:02:28Z","snapshot_observed_at":"2026-08-09T03:48:30.670948Z","submitted_at":"2025-02-07T18:02:28Z","title":"Counting Fish with Temporal Representations of Sonar Video","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T20:12:24.054778Z"},"links":{"cited_paper":"/paper/2403.12029","citing_paper":"/paper/2502.05129"},"observation_digest":"sha256:d346c33bbff02ccf389c6cf256d2c7c61780ba57141bca095aa39d4fcdb31bab","observation_id":"c8da39b2-1d52-4f59-94af-57484e6a71b0","resolution":{"observed_at":"2026-08-08T20:12:24.054778Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12029","last_updated":"2025-06-23T23:18:32Z","snapshot_observed_at":"2026-08-05T17:18:48.473625Z","submitted_at":"2024-03-18T17:58:02Z","title":"Align and Distill: Unifying and Improving Domain Adaptive Object Detection","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12029","snapshot_observed_at":"2026-08-06T13:12:06.171255Z","title":"Align and distill: Unifying and improving domain adaptive object detection","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20976","last_updated":"2025-07-28T16:38:06Z","snapshot_observed_at":"2026-08-08T10:12:59.181969Z","submitted_at":"2025-07-28T16:38:06Z","title":"Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T13:12:06.171255Z"},"links":{"cited_paper":"/paper/2403.12029","citing_paper":"/paper/2507.20976"},"observation_digest":"sha256:47bc2045514066ef91872e870be01abcbbe5006f188533ca5574c79d801fa704","observation_id":"ad77b01c-e748-4a41-bf50-89e66c1eceff","resolution":{"observed_at":"2026-08-06T13:12:06.171255Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12029","last_updated":"2025-06-23T23:18:32Z","snapshot_observed_at":"2026-08-05T17:18:48.473625Z","submitted_at":"2024-03-18T17:58:02Z","title":"Align and Distill: Unifying and Improving Domain Adaptive Object Detection","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12029","snapshot_observed_at":"2026-08-06T10:29:50.609813Z","title":"Align and distill: Unifying and improving domain adaptive object detection","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.23771","last_updated":"2025-07-31T17:56:28Z","snapshot_observed_at":"2026-08-07T18:29:15.893169Z","submitted_at":"2025-07-31T17:56:28Z","title":"Consensus-Driven Active Model Selection","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T10:29:50.609813Z"},"links":{"cited_paper":"/paper/2403.12029","citing_paper":"/paper/2507.23771"},"observation_digest":"sha256:c252295eedabd9ce87a7dfb3b311b83a708ddf0bac1c07e14dc369f0013282b7","observation_id":"e5450ccb-a9aa-40c3-b89c-b665a1d9bb0c","resolution":{"observed_at":"2026-08-06T10:29:50.609813Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12029","last_updated":"2025-06-23T23:18:32Z","snapshot_observed_at":"2026-08-05T17:18:48.473625Z","submitted_at":"2024-03-18T17:58:02Z","title":"Align and Distill: Unifying and Improving Domain Adaptive Object Detection","version":4},"cited_work":{"arxiv_id":"2403.12029","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.12029","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Align and distill: Unifying and improving domain adaptive object detection.arXiv preprint arXiv:2403.12029","venue":null,"work_id":"cda9dc4e-80b6-45be-a10d-eab6479b4df4","year":2024},"citing_paper":{"arxiv_id":"2604.08230","last_updated":"2026-04-09T13:21:25Z","snapshot_observed_at":"2026-07-29T20:07:11.905427Z","submitted_at":"2026-04-09T13:21:25Z","title":"Generalization Under Scrutiny: Cross-Domain Detection Progresses, Pitfalls, and Persistent Challenges","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-10T17:17:55.617945Z"},"links":{"cited_paper":"/paper/2403.12029","citing_paper":"/paper/2604.08230"},"observation_digest":"sha256:e83219e0119af8ae2de84ecaafb348aaa1a6efb24540b7f07c0347b4334fa6d1","observation_id":"4ae452b9-0a43-48b4-92f7-6c7c7314cd06","resolution":{"observed_at":"2026-05-11T07:06:14.725957Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12029","last_updated":"2025-06-23T23:18:32Z","snapshot_observed_at":"2026-08-05T17:18:48.473625Z","submitted_at":"2024-03-18T17:58:02Z","title":"Align and Distill: Unifying and Improving Domain Adaptive Object Detection","version":4},"cited_work":{"arxiv_id":"2403.12029","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.12029","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Align and distill: Unifying and improving domain adaptive object detection.arXiv preprint arXiv:2403.12029","venue":null,"work_id":"cda9dc4e-80b6-45be-a10d-eab6479b4df4","year":2024},"citing_paper":{"arxiv_id":"2605.16671","last_updated":"2026-05-15T22:12:02Z","snapshot_observed_at":"2026-08-06T13:59:25.113918Z","submitted_at":"2026-05-15T22:12:02Z","title":"Sustainable Intelligence for the Wild: Democratizing Ecological Monitoring via Knowledge-Adaptive Edge Expert Agents","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-20T17:52:14.221129Z"},"links":{"cited_paper":"/paper/2403.12029","citing_paper":"/paper/2605.16671"},"observation_digest":"sha256:ce6e0688fd27eefc13a242ae3941ad16761fbc6ee0ce4afa0130e2349e839fc0","observation_id":"ede0b2bb-5f39-4e6f-b314-f5b90e90bc85","resolution":{"observed_at":"2026-05-20T17:53:36.581649Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.12029/citation-record","integrity":"/paper/2403.12029/integrity","json":"/paper/2403.12029/citation-record.json","paper":"/paper/2403.12029"},"outbound":[],"paper":{"arxiv_id":"2403.12029","last_updated":"2025-06-23T23:18:32Z","latest_version":4,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-05T17:18:48.473625Z","submitted_at":"2024-03-18T17:58:02Z","title":"Align and Distill: Unifying and Improving Domain Adaptive 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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.12029."}