{"as_of":"2026-08-08T17:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:26aba09bc17c4180f58034bdc0713ba6d97eeebd85c1148a4da60154b21df7d2","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T04:07:07.802030Z","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":"2026-05-13T23:48:27.199348Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.10614","last_updated":"2024-06-07T20:19:09Z","snapshot_observed_at":"2026-08-06T01:55:47.382779Z","submitted_at":"2024-02-16T12:00:34Z","title":"Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.10614","snapshot_observed_at":"2026-08-07T04:07:07.802030Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11825","last_updated":"2025-06-13T14:30:37Z","snapshot_observed_at":"2026-08-08T03:51:34.401520Z","submitted_at":"2025-06-13T14:30:37Z","title":"Revealing Political Bias in LLMs through Structured Multi-Agent Debate","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T04:07:07.802030Z"},"links":{"cited_paper":"/paper/2402.10614","citing_paper":"/paper/2506.11825"},"observation_digest":"sha256:5e3afe27eb6cca5d4f4eb02b6b33b0daa5b0c3f9a578735d68a23a82af4bd6e6","observation_id":"f07c343f-7ef6-426c-9bf5-c0c306999d95","resolution":{"observed_at":"2026-08-07T04:07:07.802030Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.10614","last_updated":"2024-06-07T20:19:09Z","snapshot_observed_at":"2026-08-06T01:55:47.382779Z","submitted_at":"2024-02-16T12:00:34Z","title":"Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.10614","snapshot_observed_at":"2026-08-06T23:52:42.732053Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16172","last_updated":"2025-06-19T09:45:13Z","snapshot_observed_at":"2026-08-07T22:56:33.638645Z","submitted_at":"2025-06-19T09:45:13Z","title":"SGIC: A Self-Guided Iterative Calibration Framework for RAG","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T23:52:42.732053Z"},"links":{"cited_paper":"/paper/2402.10614","citing_paper":"/paper/2506.16172"},"observation_digest":"sha256:d99b05efff843821ae910b2f859bd0423e144727eecb6f445fd15c1b5ac4f44a","observation_id":"21c751dd-33c5-4377-a1e2-30a38d9b585a","resolution":{"observed_at":"2026-08-06T23:52:42.732053Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.10614","last_updated":"2024-06-07T20:19:09Z","snapshot_observed_at":"2026-08-06T01:55:47.382779Z","submitted_at":"2024-02-16T12:00:34Z","title":"Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.10614","snapshot_observed_at":"2026-08-06T21:36:37.149911Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.23762","last_updated":"2025-06-30T12:09:29Z","snapshot_observed_at":"2026-08-06T21:29:49.550137Z","submitted_at":"2025-06-30T12:09:29Z","title":"Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead","version":1},"reference_index":186,"source":"pdf_text","source_observed_at":"2026-08-06T21:36:37.149911Z"},"links":{"cited_paper":"/paper/2402.10614","citing_paper":"/paper/2506.23762"},"observation_digest":"sha256:bfca22d951d6bf73f818e3bccdae32327db4cfb68340e2191b7f1b41e1164f1c","observation_id":"ccbe2c9a-dc73-47ec-a736-5bc8d38b92ba","resolution":{"observed_at":"2026-08-06T21:36:37.149911Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.10614","last_updated":"2024-06-07T20:19:09Z","snapshot_observed_at":"2026-08-06T01:55:47.382779Z","submitted_at":"2024-02-16T12:00:34Z","title":"Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements","version":2},"cited_work":{"arxiv_id":"2402.10614","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.10614","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Can llms speak for diverse people? tuning llms via debate to generate controllable controversial statements","venue":null,"work_id":"dcfd24aa-d982-4f98-8b10-519df3e8afaf","year":2024},"citing_paper":{"arxiv_id":"2604.16403","last_updated":"2026-03-31T12:18:56Z","snapshot_observed_at":"2026-07-06T23:03:43.854612Z","submitted_at":"2026-03-31T12:18:56Z","title":"Computational Hermeneutics: Evaluating generative AI as a cultural technology","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-13T23:48:24.354896Z"},"links":{"cited_paper":"/paper/2402.10614","citing_paper":"/paper/2604.16403"},"observation_digest":"sha256:b5e2c7aa2c7be324660a5b4d98562860172f1aa3ee6626ec3892050167ed00f3","observation_id":"428adbb4-50f5-49f2-bcdd-a04096a52568","resolution":{"observed_at":"2026-05-13T23:48:27.203335Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2402.10614/citation-record","integrity":"/paper/2402.10614/integrity","json":"/paper/2402.10614/citation-record.json","paper":"/paper/2402.10614"},"outbound":[],"paper":{"arxiv_id":"2402.10614","last_updated":"2024-06-07T20:19:09Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-06T01:55:47.382779Z","submitted_at":"2024-02-16T12:00:34Z","title":"Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements"},"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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.10614."}