{"as_of":"2026-08-09T03:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:105115e78fe6233beff351c19b6fc9cba903d63bc3c6dc311c9594814b0bf5f4","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:11:58.771900Z","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":"2026-05-16T19:55:11.519506Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2107.07691","last_updated":"2021-07-16T03:46:08Z","snapshot_observed_at":"2026-08-05T17:50:53.838822Z","submitted_at":"2021-07-16T03:46:08Z","title":"Intersectional Bias in Causal Language Models","version":1},"cited_work":{"arxiv_id":"2107.07691","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2107.07691","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2107.07691 , year =","venue":null,"work_id":"28e73cf6-0414-41b4-80b2-0381a4a2f394","year":null},"citing_paper":{"arxiv_id":"2110.08193","last_updated":"2022-03-16T01:35:45Z","snapshot_observed_at":"2026-07-06T11:58:21.596920Z","submitted_at":"2021-10-15T16:43:46Z","title":"BBQ: A Hand-Built Bias Benchmark for Question Answering","version":2},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-05-16T19:55:11.431020Z"},"links":{"cited_paper":"/paper/2107.07691","citing_paper":"/paper/2110.08193"},"observation_digest":"sha256:422e8128d04f0491dc1a9130b6b38196cebfe480b7b944fd0b2c682be15efb60","observation_id":"e77f2142-9d6a-401d-aa88-43c66c1018f1","resolution":{"observed_at":"2026-05-16T19:55:11.521997Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.07691","last_updated":"2021-07-16T03:46:08Z","snapshot_observed_at":"2026-08-05T17:50:53.838822Z","submitted_at":"2021-07-16T03:46:08Z","title":"Intersectional Bias in Causal Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.07691","snapshot_observed_at":"2026-08-07T11:11:58.771900Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.05390","last_updated":"2025-06-03T18:14:57Z","snapshot_observed_at":"2026-08-07T11:04:47.671334Z","submitted_at":"2025-06-03T18:14:57Z","title":"Understanding Gender Bias in AI-Generated Product Descriptions","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-07T11:11:58.771900Z"},"links":{"cited_paper":"/paper/2107.07691","citing_paper":"/paper/2506.05390"},"observation_digest":"sha256:9a1d988c9743443787062fabf447f36c5dd9121664fcd190657b1db95002c44f","observation_id":"138282bf-5b0e-4622-bd8e-0089e46d4bae","resolution":{"observed_at":"2026-08-07T11:11:58.771900Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.07691","last_updated":"2021-07-16T03:46:08Z","snapshot_observed_at":"2026-08-05T17:50:53.838822Z","submitted_at":"2021-07-16T03:46:08Z","title":"Intersectional Bias in Causal Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.07691","snapshot_observed_at":"2026-08-02T11:02:29.502072Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.26062","last_updated":"2026-06-16T20:30:06Z","snapshot_observed_at":"2026-08-09T00:10:01.536076Z","submitted_at":"2026-06-16T20:30:06Z","title":"Identifying Implicit Bias in LLM-based Chat AI Toward People with Intellectual Disabilities","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-02T11:02:29.502072Z"},"links":{"cited_paper":"/paper/2107.07691","citing_paper":"/paper/2607.26062"},"observation_digest":"sha256:cabd68866926a59138b34885e9eaa913752f42b79cf003946479a1a3aa83f345","observation_id":"08ba5630-776a-46c9-90a9-6cfd49086c99","resolution":{"observed_at":"2026-08-02T11:02:29.502072Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2107.07691/citation-record","integrity":"/paper/2107.07691/integrity","json":"/paper/2107.07691/citation-record.json","paper":"/paper/2107.07691"},"outbound":[],"paper":{"arxiv_id":"2107.07691","last_updated":"2021-07-16T03:46:08Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-05T17:50:53.838822Z","submitted_at":"2021-07-16T03:46:08Z","title":"Intersectional Bias in Causal Language Models"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2107.07691."}