{"as_of":"2026-08-20T03:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:39c93506664a91a329aba1811a89caea766551b94887e19bb2269fa297c270db","coverage":[{"denominator":9,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T04:17:15.265970Z","state":"measured"},{"denominator":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.05492/citation-record","integrity":"/paper/2505.05492/integrity","json":"/paper/2505.05492/citation-record.json","paper":"/paper/2505.05492"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:17:15.443998Z","title":"Information Fusion 77, 261--295 (2022)","venue":null,"work_id":"b59d6a57-f1fb-4582-96d1-6fa0e917789d","year":2022},"citing_paper":{"arxiv_id":"2505.05492","last_updated":"2025-05-02T22:47:39Z","snapshot_observed_at":"2026-08-16T04:12:22.856813Z","submitted_at":"2025-05-02T22:47:39Z","title":"DetoxAI: a Python Toolkit for Debiasing Deep Learning Models in Computer Vision","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:15.213295Z"},"links":{"citing_paper":"/paper/2505.05492"},"observation_digest":"sha256:faa23a1a5ad554aca8b2b800a2bc295edf67efdbe5e00734c0592ba0847c7d0f","observation_id":"d4ca8c13-13af-4246-bc2f-de865f3f00b2","resolution":{"observed_at":"2026-08-16T04:17:15.449560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:17:15.425739Z","title":"IBM Journal of Research and Development 63(4/5), 4--1 (2019)","venue":null,"work_id":"f82093fb-471c-4827-86d5-13ea746b5ef7","year":2019},"citing_paper":{"arxiv_id":"2505.05492","last_updated":"2025-05-02T22:47:39Z","snapshot_observed_at":"2026-08-16T04:12:22.856813Z","submitted_at":"2025-05-02T22:47:39Z","title":"DetoxAI: a Python Toolkit for Debiasing Deep Learning Models in Computer Vision","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:15.221992Z"},"links":{"citing_paper":"/paper/2505.05492"},"observation_digest":"sha256:8cc80087c61206cc03889697dc2757eaa2af0b60e4a1180ef56317f6eeb79001","observation_id":"386946e2-d7d4-48a0-9efe-eb6f8c96a3d1","resolution":{"observed_at":"2026-08-16T04:17:15.430767Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:17:15.407597Z","title":"In: Proceedings of the 37th International Conference on Neural Information Processing Systems","venue":null,"work_id":"3d10abda-cf3e-4a5a-af38-dcc151e699a7","year":2023},"citing_paper":{"arxiv_id":"2505.05492","last_updated":"2025-05-02T22:47:39Z","snapshot_observed_at":"2026-08-16T04:12:22.856813Z","submitted_at":"2025-05-02T22:47:39Z","title":"DetoxAI: a Python Toolkit for Debiasing Deep Learning Models in Computer Vision","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:15.227717Z"},"links":{"citing_paper":"/paper/2505.05492"},"observation_digest":"sha256:ecb9059add1167f1734c824ce299c326b49aeded2dcd9a9173cd1c12b2d99f3c","observation_id":"a470d9f6-95c7-4f35-977c-fe367eefb199","resolution":{"observed_at":"2026-08-16T04:17:15.414005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:17:15.388834Z","title":"Microsoft, Tech","venue":null,"work_id":"dcfb1a1e-f50f-4823-a0a9-691e6e52cbf3","year":2020},"citing_paper":{"arxiv_id":"2505.05492","last_updated":"2025-05-02T22:47:39Z","snapshot_observed_at":"2026-08-16T04:12:22.856813Z","submitted_at":"2025-05-02T22:47:39Z","title":"DetoxAI: a Python Toolkit for Debiasing Deep Learning Models in Computer Vision","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:15.233844Z"},"links":{"citing_paper":"/paper/2505.05492"},"observation_digest":"sha256:2d269c9fbfcac0335c6b5e56e937ac333b689d6eea5c00910eb516318be5e143","observation_id":"66774308-802a-42c5-a669-9c99a0d28abc","resolution":{"observed_at":"2026-08-16T04:17:15.394133Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:17:15.370119Z","title":"ACM Computing Surveys 54(6) (Jul 2021)","venue":null,"work_id":"77179b2e-6e78-487e-ba83-ebbc82857820","year":2021},"citing_paper":{"arxiv_id":"2505.05492","last_updated":"2025-05-02T22:47:39Z","snapshot_observed_at":"2026-08-16T04:12:22.856813Z","submitted_at":"2025-05-02T22:47:39Z","title":"DetoxAI: a Python Toolkit for Debiasing Deep Learning Models in Computer Vision","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:15.241131Z"},"links":{"citing_paper":"/paper/2505.05492"},"observation_digest":"sha256:5247281160260a457cc97211ef49fe0873e164f50df0293fa43619c40ed0da8f","observation_id":"e480de7c-5398-494d-b10d-dd42ea19c6cc","resolution":{"observed_at":"2026-08-16T04:17:15.375638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:17:15.350274Z","title":"In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M., Lin, H","venue":null,"work_id":"e97b514e-7bf1-456b-b828-b00c64e8b411","year":2020},"citing_paper":{"arxiv_id":"2505.05492","last_updated":"2025-05-02T22:47:39Z","snapshot_observed_at":"2026-08-16T04:12:22.856813Z","submitted_at":"2025-05-02T22:47:39Z","title":"DetoxAI: a Python Toolkit for Debiasing Deep Learning Models in Computer Vision","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:15.247268Z"},"links":{"citing_paper":"/paper/2505.05492"},"observation_digest":"sha256:62bb62403ddd64bfd0a529b4e43544901e6917f02c40871482b2ff5d4c655395","observation_id":"6f164e4e-2d17-464b-b394-8b5000b7eefc","resolution":{"observed_at":"2026-08-16T04:17:15.357620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2503.00234","last_updated":"2025-04-24T10:55:58Z","snapshot_observed_at":"2026-08-16T12:54:07.391797Z","submitted_at":"2025-02-28T22:42:21Z","title":"Investigating the Relationship Between Debiasing and Artifact Removal using Saliency Maps","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.00234","snapshot_observed_at":"2026-08-16T04:17:15.254020Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.05492","last_updated":"2025-05-02T22:47:39Z","snapshot_observed_at":"2026-08-16T04:12:22.856813Z","submitted_at":"2025-05-02T22:47:39Z","title":"DetoxAI: a Python Toolkit for Debiasing Deep Learning Models in Computer Vision","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:15.254020Z"},"links":{"cited_paper":"/paper/2503.00234","citing_paper":"/paper/2505.05492"},"observation_digest":"sha256:86f4eab3fb78935f3d9358a288bacfe7fcf9ffc8dffedd03b7c2c3c0b4978496","observation_id":"879eb3a8-09b2-4294-9a14-af9c111adb21","resolution":{"observed_at":"2026-08-16T04:17:15.254020Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:17:15.260301Z","title":", \" * write output.state after.block = add.period write","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.05492","last_updated":"2025-05-02T22:47:39Z","snapshot_observed_at":"2026-08-16T04:12:22.856813Z","submitted_at":"2025-05-02T22:47:39Z","title":"DetoxAI: a Python Toolkit for Debiasing Deep Learning Models in Computer Vision","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:15.260301Z"},"links":{"citing_paper":"/paper/2505.05492"},"observation_digest":"sha256:10fbd40e74bd358f6114c9e4ebd7fdb3ee345012277e6dce7ef7e46d12296bbb","observation_id":"8879719d-ea9b-466a-8841-e7196c42d83a","resolution":{"observed_at":"2026-08-16T04:17:15.260301Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:17:15.265970Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.05492","last_updated":"2025-05-02T22:47:39Z","snapshot_observed_at":"2026-08-16T04:12:22.856813Z","submitted_at":"2025-05-02T22:47:39Z","title":"DetoxAI: a Python Toolkit for Debiasing Deep Learning Models in Computer Vision","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:15.265970Z"},"links":{"citing_paper":"/paper/2505.05492"},"observation_digest":"sha256:4feaa252a8685b0bf43a75f29ee8873c1924a139bb854f97da32f86b6ce2131d","observation_id":"cb290c58-fee9-47b1-a15c-452a48861d90","resolution":{"observed_at":"2026-08-16T04:17:15.265970Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.05492","last_updated":"2025-05-02T22:47:39Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T04:12:22.856813Z","submitted_at":"2025-05-02T22:47:39Z","title":"DetoxAI: a Python Toolkit for Debiasing Deep Learning Models in Computer Vision"},"reference_resolution":{"displayed":9,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":6},"total_outbound_references":9},"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 20 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2505.05492."}