{"as_of":"2026-08-16T14:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:220fdeb7b6fdfc8a2742e6dc467caf3eadb46a3afd6afc397008f2aa5e416e73","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":"2026-08-16T06:30:59.297886+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":"2026-08-11T22:31:57.348434Z","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":"2026-05-23T22:05:50.118208Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.04064","last_updated":"2024-06-06T13:32:09Z","snapshot_observed_at":"2026-08-16T13:45:32.056670Z","submitted_at":"2024-06-06T13:32:09Z","title":"Ask LLMs Directly, \"What shapes your bias?\": Measuring Social Bias in Large Language Models","version":1},"cited_work":{"arxiv_id":"2406.04064","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04064","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"what shapes your bias?","venue":null,"work_id":"df4b7332-d6cd-417f-af2d-71d4fc0931df","year":2024},"citing_paper":{"arxiv_id":"2408.09049","last_updated":"2026-04-19T19:02:30Z","snapshot_observed_at":"2026-08-08T20:15:07.345025Z","submitted_at":"2024-08-16T23:24:10Z","title":"Inertia in Moral and Value Judgments of Large Language Models","version":3},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-05-23T22:05:17.165589Z"},"links":{"cited_paper":"/paper/2406.04064","citing_paper":"/paper/2408.09049"},"observation_digest":"sha256:5db85f6dfebcd960f942ec1dc5b844615c9d795884dd4f60ee604eff90c0b07f","observation_id":"19d36807-bed9-42c6-b874-84e351a25785","resolution":{"observed_at":"2026-05-23T22:05:50.120892Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04064","last_updated":"2024-06-06T13:32:09Z","snapshot_observed_at":"2026-08-16T13:45:32.056670Z","submitted_at":"2024-06-06T13:32:09Z","title":"Ask LLMs Directly, \"What shapes your bias?\": Measuring Social Bias in Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04064","snapshot_observed_at":"2026-08-11T22:31:57.348434Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.03400","last_updated":"2024-12-04T15:31:30Z","snapshot_observed_at":"2026-08-12T07:33:50.811360Z","submitted_at":"2024-12-04T15:31:30Z","title":"Implicit Priors Editing in Stable Diffusion via Targeted Token Adjustment","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T22:31:57.348434Z"},"links":{"cited_paper":"/paper/2406.04064","citing_paper":"/paper/2412.03400"},"observation_digest":"sha256:3792ee481954872b3dc4d848416c345cc6563bb942474e9415ca2b0912b44f72","observation_id":"d0dda574-e649-4281-8da6-15fa2c0ccdfd","resolution":{"observed_at":"2026-08-11T22:31:57.348434Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04064","last_updated":"2024-06-06T13:32:09Z","snapshot_observed_at":"2026-08-16T13:45:32.056670Z","submitted_at":"2024-06-06T13:32:09Z","title":"Ask LLMs Directly, \"What shapes your bias?\": Measuring Social Bias in Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04064","snapshot_observed_at":"2026-08-10T15:18:22.166385Z","title":"arXiv preprint arXiv:2406.04064 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.14844","last_updated":"2026-08-13T16:11:08Z","snapshot_observed_at":"2026-08-16T14:11:49.329116Z","submitted_at":"2025-01-24T09:10:02Z","title":"Unmasking Conversational Bias in AI Multiagent Systems","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:22.166385Z"},"links":{"cited_paper":"/paper/2406.04064","citing_paper":"/paper/2501.14844"},"observation_digest":"sha256:28659ff3a4f5943938a068fd06a21087bd1bb310364db30d342156fa4069071f","observation_id":"3ca545ab-6b92-4c0b-96fd-8e77dca719aa","resolution":{"observed_at":"2026-08-10T15:18:22.166385Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04064","last_updated":"2024-06-06T13:32:09Z","snapshot_observed_at":"2026-08-16T13:45:32.056670Z","submitted_at":"2024-06-06T13:32:09Z","title":"Ask LLMs Directly, \"What shapes your bias?\": Measuring Social Bias in Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04064","snapshot_observed_at":"2026-08-07T11:49:40.284546Z","title":"false consensus effect","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.01332","last_updated":"2025-06-02T05:22:29Z","snapshot_observed_at":"2026-08-14T19:24:50.411619Z","submitted_at":"2025-06-02T05:22:29Z","title":"An Empirical Study of Group Conformity in Multi-Agent Systems","version":1},"reference_index":1969,"source":"pdf_text","source_observed_at":"2026-08-07T11:49:40.284546Z"},"links":{"cited_paper":"/paper/2406.04064","citing_paper":"/paper/2506.01332"},"observation_digest":"sha256:16f5c996efc8bd893970efd882353662d32ea478d4bd5d29014954ccd46891ae","observation_id":"0a59104c-5b3a-4af1-af37-794233cf4ce3","resolution":{"observed_at":"2026-08-07T11:49:40.284546Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.04064/citation-record","integrity":"/paper/2406.04064/integrity","json":"/paper/2406.04064/citation-record.json","paper":"/paper/2406.04064"},"outbound":[],"paper":{"arxiv_id":"2406.04064","last_updated":"2024-06-06T13:32:09Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T13:45:32.056670Z","submitted_at":"2024-06-06T13:32:09Z","title":"Ask LLMs Directly, \"What shapes your bias?\": Measuring Social Bias in Large 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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.04064."}