{"as_of":"2026-08-19T07:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7eebc4dda5a2ac48f0abf7c0330901ede45f0148dea444a9c7fd9fd72366cf28","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T19:15:14.635400Z","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":"2026-07-04T17:40:00.614393Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.03992","last_updated":"2023-09-20T22:17:30Z","snapshot_observed_at":"2026-08-18T22:38:30.392703Z","submitted_at":"2023-09-07T19:51:30Z","title":"ConDA: Contrastive Domain Adaptation for AI-generated Text Detection","version":2},"cited_work":{"arxiv_id":"2309.03992","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.03992","snapshot_observed_at":"2026-07-04T17:40:00.614393Z","title":"org/CorpusID:32452685","venue":null,"work_id":"0691408e-bebc-4674-8fbe-130a4253e200","year":2023},"citing_paper":{"arxiv_id":"2403.07183","last_updated":"2026-05-19T03:49:32Z","snapshot_observed_at":"2026-08-01T20:53:34.992573Z","submitted_at":"2024-03-11T21:51:39Z","title":"Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews","version":4},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-24T02:48:00.282814Z"},"links":{"cited_paper":"/paper/2309.03992","citing_paper":"/paper/2403.07183"},"observation_digest":"sha256:3b44e2aa2f027498fc4bf9d44aaaeccbd13dcb55d038c046d956f9357630d03b","observation_id":"70eb359f-bc9b-4c25-8454-ce5fcedaa43d","resolution":{"observed_at":"2026-05-24T02:48:47.485303Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.03992","last_updated":"2023-09-20T22:17:30Z","snapshot_observed_at":"2026-08-18T22:38:30.392703Z","submitted_at":"2023-09-07T19:51:30Z","title":"ConDA: Contrastive Domain Adaptation for AI-generated Text Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.03992","snapshot_observed_at":"2026-08-15T19:15:14.635400Z","title":"ConDA:Contrastive Domain Adaptation for AI-generated Text Detection.ArXiv, abs/2309.03992, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.17467","last_updated":"2026-07-31T16:38:52Z","snapshot_observed_at":"2026-08-16T16:18:11.724541Z","submitted_at":"2025-06-20T20:15:09Z","title":"Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T19:15:14.635400Z"},"links":{"cited_paper":"/paper/2309.03992","citing_paper":"/paper/2506.17467"},"observation_digest":"sha256:7ebd2706f608f465b572f515b1cbbb3d513cc442be30b0495091fad6635770ec","observation_id":"04d3bf8e-d93f-4dc2-ac55-00b0dbe5669a","resolution":{"observed_at":"2026-08-15T19:15:14.635400Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.03992","last_updated":"2023-09-20T22:17:30Z","snapshot_observed_at":"2026-08-18T22:38:30.392703Z","submitted_at":"2023-09-07T19:51:30Z","title":"ConDA: Contrastive Domain Adaptation for AI-generated Text Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.03992","snapshot_observed_at":"2026-08-04T00:27:26.064212Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.01192","last_updated":"2026-06-03T05:41:12Z","snapshot_observed_at":"2026-08-18T11:53:43.782348Z","submitted_at":"2025-11-03T03:36:48Z","title":"DEER: Disentangled Mixture of Experts with Instance-Adaptive Routing for Generalizable Machine-Generated Text Detection","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-04T00:27:26.064212Z"},"links":{"cited_paper":"/paper/2309.03992","citing_paper":"/paper/2511.01192"},"observation_digest":"sha256:4ec197248b3c905cb8e20617f6075e1c1394091b09221d032f25889cbc7c7911","observation_id":"a11e77a9-c6c1-4c94-8ece-e8957c4d0caf","resolution":{"observed_at":"2026-08-04T00:27:26.064212Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.03992","last_updated":"2023-09-20T22:17:30Z","snapshot_observed_at":"2026-08-18T22:38:30.392703Z","submitted_at":"2023-09-07T19:51:30Z","title":"ConDA: Contrastive Domain Adaptation for AI-generated Text Detection","version":2},"cited_work":{"arxiv_id":"2309.03992","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.03992","snapshot_observed_at":"2026-07-04T17:40:00.614393Z","title":"org/CorpusID:32452685","venue":null,"work_id":"0691408e-bebc-4674-8fbe-130a4253e200","year":2023},"citing_paper":{"arxiv_id":"2606.25152","last_updated":"2026-06-23T20:37:18Z","snapshot_observed_at":"2026-08-06T11:15:36.198311Z","submitted_at":"2026-06-23T20:37:18Z","title":"Hitting a Moving Target: Test-Time Adaptation for AI Text Detection under Continual Distribution Shift","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-06-25T23:31:35.874733Z"},"links":{"cited_paper":"/paper/2309.03992","citing_paper":"/paper/2606.25152"},"observation_digest":"sha256:855839d7c9f421fe1aef78f27c102cbf53cad19234bcabc10eadeb67b6a2df53","observation_id":"a9108c1e-66c2-4c09-a140-f7fa0cf46f69","resolution":{"observed_at":"2026-07-04T17:40:00.615906Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2309.03992/citation-record","integrity":"/paper/2309.03992/integrity","json":"/paper/2309.03992/citation-record.json","paper":"/paper/2309.03992"},"outbound":[],"paper":{"arxiv_id":"2309.03992","last_updated":"2023-09-20T22:17:30Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-18T22:38:30.392703Z","submitted_at":"2023-09-07T19:51:30Z","title":"ConDA: Contrastive Domain Adaptation for AI-generated Text 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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.03992."}