{"as_of":"2026-08-17T23:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d7d4b101198b850882153a6e98511af94d7b265201fcb3dac225a0c706adf7aa","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":"2026-08-17T06:30:58.91139+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":"2026-08-16T12:39:16.997809Z","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":"2026-08-06T15:12:30.355452Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.13677","last_updated":"2025-06-17T17:06:35Z","snapshot_observed_at":"2026-08-17T05:00:02.000247Z","submitted_at":"2024-06-19T16:30:58Z","title":"Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13677","snapshot_observed_at":"2026-08-08T15:21:49.539178Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06487","last_updated":"2025-02-10T14:06:19Z","snapshot_observed_at":"2026-08-14T03:10:13.172060Z","submitted_at":"2025-02-10T14:06:19Z","title":"Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-08T15:21:49.539178Z"},"links":{"cited_paper":"/paper/2406.13677","citing_paper":"/paper/2502.06487"},"observation_digest":"sha256:755ca474b62cd8938ee4d546758ea66a2a41aa8f4f993f2ac35092bb989272c6","observation_id":"82d3694d-7f49-44ce-aa3f-1d6b5829e50b","resolution":{"observed_at":"2026-08-08T15:21:49.539178Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13677","last_updated":"2025-06-17T17:06:35Z","snapshot_observed_at":"2026-08-17T05:00:02.000247Z","submitted_at":"2024-06-19T16:30:58Z","title":"Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13677","snapshot_observed_at":"2026-08-16T12:39:16.997809Z","title":"[Dion et al.(1972)]Karen Dion, Ellen Berscheid, and Elaine Walster","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.16104","last_updated":"2025-08-11T13:46:37Z","snapshot_observed_at":"2026-08-17T07:54:11.814395Z","submitted_at":"2025-04-16T16:02:55Z","title":"Beauty and the Bias: Exploring the Impact of Attractiveness on Multimodal Large Language Models","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T12:39:16.997809Z"},"links":{"cited_paper":"/paper/2406.13677","citing_paper":"/paper/2504.16104"},"observation_digest":"sha256:bd9a46427f74d10ea41fcb08b32c4e35a8f86412e8ffeb07685a42ddc92ed6a7","observation_id":"95d77c97-f8b0-4c2f-ab71-8eea14b5cd44","resolution":{"observed_at":"2026-08-16T12:39:16.997809Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13677","last_updated":"2025-06-17T17:06:35Z","snapshot_observed_at":"2026-08-17T05:00:02.000247Z","submitted_at":"2024-06-19T16:30:58Z","title":"Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora","version":3},"cited_work":{"arxiv_id":"2406.13677","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.13677","snapshot_observed_at":"2026-08-06T15:12:30.355452Z","title":"Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora","venue":"cs.CL","work_id":"bbd254f2-a1eb-47c7-b7e3-5e1fbd0360cb","year":2024},"citing_paper":{"arxiv_id":"2507.16557","last_updated":"2025-07-22T13:09:41Z","snapshot_observed_at":"2026-08-09T10:10:54.860953Z","submitted_at":"2025-07-22T13:09:41Z","title":"Exploring Gender Bias in Large Language Models: An In-depth Dive into the German Language","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.187041Z"},"links":{"cited_paper":"/paper/2406.13677","citing_paper":"/paper/2507.16557"},"observation_digest":"sha256:876936be17eda35685cd0e84143dd6454fd34cb1c3c3d4ddb7996c3a0c7c8d6d","observation_id":"12b6055c-ca59-4ab3-b061-077a3bf616de","resolution":{"observed_at":"2026-08-06T15:12:30.358871Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.13677/citation-record","integrity":"/paper/2406.13677/integrity","json":"/paper/2406.13677/citation-record.json","paper":"/paper/2406.13677"},"outbound":[],"paper":{"arxiv_id":"2406.13677","last_updated":"2025-06-17T17:06:35Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-17T05:00:02.000247Z","submitted_at":"2024-06-19T16:30:58Z","title":"Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.13677."}