{"as_of":"2026-08-10T20:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3b1d425a4513d17db6cbec75227d4cbe9469e006ec93561b975d8c4afc36b04c","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":"2026-08-10T06:31:04.303077+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":"2026-08-06T12:45:22.449712Z","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":"2026-08-06T12:45:22.567262Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2109.09033","last_updated":"2022-03-15T17:07:45Z","snapshot_observed_at":"2026-08-10T06:20:39.198650Z","submitted_at":"2021-09-19T00:27:08Z","title":"Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection","version":2},"cited_work":{"arxiv_id":"2109.09033","doi":null,"metadata_source":"pith","pith_arxiv_id":"2109.09033","snapshot_observed_at":"2026-08-06T12:45:22.567262Z","title":"Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection","venue":"cs.CV","work_id":"9a671508-9da0-4765-ba1a-311220690713","year":2021},"citing_paper":{"arxiv_id":"2507.21516","last_updated":"2025-07-29T05:46:37Z","snapshot_observed_at":"2026-08-06T12:45:18.579579Z","submitted_at":"2025-07-29T05:46:37Z","title":"ST-DAI: Single-shot 2.5D Spatial Transcriptomics with Intra-Sample Domain Adaptive Imputation for Cost-efficient 3D Reconstruction","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T12:45:22.449712Z"},"links":{"cited_paper":"/paper/2109.09033","citing_paper":"/paper/2507.21516"},"observation_digest":"sha256:b4209f4dd5d219f70045f9b47f9f88c5a0ab9b1dec06426125ed13b955da5655","observation_id":"368726c2-2858-48b1-9519-787554b8c77b","resolution":{"observed_at":"2026-08-06T12:45:22.570375Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2109.09033/citation-record","integrity":"/paper/2109.09033/integrity","json":"/paper/2109.09033/citation-record.json","paper":"/paper/2109.09033"},"outbound":[],"paper":{"arxiv_id":"2109.09033","last_updated":"2022-03-15T17:07:45Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T06:20:39.198650Z","submitted_at":"2021-09-19T00:27:08Z","title":"Joint Distribution Alignment via Adversarial Learning for 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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2109.09033."}