{"as_of":"2026-08-07T22:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:34de47ad8710058c57208b59c2cbdf7bb943898a52c07791d713ad45f4bf6c17","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T15:02:35.276985Z","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":"2026-05-19T03:47:02.427138Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.02743","last_updated":"2024-05-04T19:53:03Z","snapshot_observed_at":"2026-08-07T06:21:34.470683Z","submitted_at":"2024-05-04T19:53:03Z","title":"Beyond Performance: Quantifying and Mitigating Label Bias in LLMs","version":1},"cited_work":{"arxiv_id":"2405.02743","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.02743","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"7aec51f7-5665-4eaf-b8de-5016f1d586b8","year":2024},"citing_paper":{"arxiv_id":"2507.14913","last_updated":"2026-04-05T11:35:06Z","snapshot_observed_at":"2026-08-05T18:40:44.179056Z","submitted_at":"2025-07-20T10:55:29Z","title":"PromptSuite: A Task-Agnostic Framework for Multi-Prompt Generation","version":5},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-05-19T03:43:28.543349Z"},"links":{"cited_paper":"/paper/2405.02743","citing_paper":"/paper/2507.14913"},"observation_digest":"sha256:c7a4d90e1d67e4984343751a139c79e09d8e0aa060d171c1efa206174ac96de1","observation_id":"62ccce70-c444-438b-b48f-3f29d95a9d29","resolution":{"observed_at":"2026-05-19T03:47:02.429384Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.02743","last_updated":"2024-05-04T19:53:03Z","snapshot_observed_at":"2026-08-07T06:21:34.470683Z","submitted_at":"2024-05-04T19:53:03Z","title":"Beyond Performance: Quantifying and Mitigating Label Bias in LLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.02743","snapshot_observed_at":"2026-08-06T15:02:35.276985Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.16989","last_updated":"2025-07-22T19:54:49Z","snapshot_observed_at":"2026-08-06T14:56:39.751836Z","submitted_at":"2025-07-22T19:54:49Z","title":"Obscured but Not Erased: Evaluating Nationality Bias in LLMs via Name-Based Bias Benchmarks","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T15:02:35.276985Z"},"links":{"cited_paper":"/paper/2405.02743","citing_paper":"/paper/2507.16989"},"observation_digest":"sha256:170334266432f46bdc259cf60d1bb24af52fde647dd1fdf42627f10dbfd12db5","observation_id":"9f27fb96-daed-46e2-8e4d-8d5d12dba481","resolution":{"observed_at":"2026-08-06T15:02:35.276985Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2405.02743/citation-record","integrity":"/paper/2405.02743/integrity","json":"/paper/2405.02743/citation-record.json","paper":"/paper/2405.02743"},"outbound":[],"paper":{"arxiv_id":"2405.02743","last_updated":"2024-05-04T19:53:03Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T06:21:34.470683Z","submitted_at":"2024-05-04T19:53:03Z","title":"Beyond Performance: Quantifying and Mitigating Label Bias in LLMs"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.02743."}