{"as_of":"2026-08-09T22:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4c46c03a483cdfbb2fdc817e315da9900b19bbd225512870e02664a82a6bcdf6","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":11,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":11,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":11,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T20:46:45.923724Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":92,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2209.06899","last_updated":"2022-09-14T19:53:32Z","snapshot_observed_at":"2026-08-09T01:54:09.989232Z","submitted_at":"2022-09-14T19:53:32Z","title":"Out of One, Many: Using Language Models to Simulate Human Samples","version":1},"cited_work":{"arxiv_id":"2209.06899","doi":"10.48550/arxiv.2209.06899","metadata_source":"arxiv_reference","pith_arxiv_id":"2209.06899","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argyle, Ethan C","venue":"arXiv (Cornell University)","work_id":"cbe33553-8b55-429f-b1f3-9d7fb49c1a8c","year":2022},"citing_paper":{"arxiv_id":"2404.04475","last_updated":"2025-03-10T09:27:03Z","snapshot_observed_at":"2026-07-06T17:56:23.317089Z","submitted_at":"2024-04-06T02:29:02Z","title":"Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators","version":2},"reference_index":137,"source":"arxiv_source","source_observed_at":"2026-05-12T11:13:04.597432Z"},"links":{"cited_paper":"/paper/2209.06899","citing_paper":"/paper/2404.04475"},"observation_digest":"sha256:e298efced6b13a3556bf58df8d0341fe292fc66cbddcf28513eb5e0477a9dbfb","observation_id":"89ed21fa-de56-4daa-9062-8a0a456295fb","resolution":{"observed_at":"2026-05-12T11:13:04.763401Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.06899","last_updated":"2022-09-14T19:53:32Z","snapshot_observed_at":"2026-08-09T01:54:09.989232Z","submitted_at":"2022-09-14T19:53:32Z","title":"Out of One, Many: Using Language Models to Simulate Human Samples","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.06899","snapshot_observed_at":"2026-08-09T20:46:45.877705Z","title":"Argyle, Ethan C","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.19275","last_updated":"2026-07-22T11:47:07Z","snapshot_observed_at":"2026-08-09T20:40:41.309018Z","submitted_at":"2025-01-31T16:37:19Z","title":"From Assistance to Autonomy -- A Researcher Study on the Potential of AI Support for Qualitative Data Analysis","version":4},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-09T20:46:45.877705Z"},"links":{"cited_paper":"/paper/2209.06899","citing_paper":"/paper/2501.19275"},"observation_digest":"sha256:a26cd345878482763729bc4c2537243b367662553ad08038f227f890c7f520cb","observation_id":"aeab5843-e684-42b4-b957-6ed11bf65379","resolution":{"observed_at":"2026-08-09T20:46:45.877705Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.06899","last_updated":"2022-09-14T19:53:32Z","snapshot_observed_at":"2026-08-09T01:54:09.989232Z","submitted_at":"2022-09-14T19:53:32Z","title":"Out of One, Many: Using Language Models to Simulate Human Samples","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.06899","snapshot_observed_at":"2026-08-09T20:46:45.923724Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.19275","last_updated":"2026-07-22T11:47:07Z","snapshot_observed_at":"2026-08-09T20:40:41.309018Z","submitted_at":"2025-01-31T16:37:19Z","title":"From Assistance to Autonomy -- A Researcher Study on the Potential of AI Support for Qualitative Data Analysis","version":4},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-09T20:46:45.923724Z"},"links":{"cited_paper":"/paper/2209.06899","citing_paper":"/paper/2501.19275"},"observation_digest":"sha256:b5d94de1b3b174deb6166842c06c66ba83f832678d2217d81054f66d31144361","observation_id":"e1c7402d-4421-4849-904c-bd91268464fd","resolution":{"observed_at":"2026-08-09T20:46:45.923724Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.06899","last_updated":"2022-09-14T19:53:32Z","snapshot_observed_at":"2026-08-09T01:54:09.989232Z","submitted_at":"2022-09-14T19:53:32Z","title":"Out of One, Many: Using Language Models to Simulate Human Samples","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.06899","snapshot_observed_at":"2026-08-07T00:00:10.259911Z","title":"https: //doi.org/10.1017/pan.2023.2 arXiv:2209.06899 [cs]","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.15624","last_updated":"2025-06-18T16:53:38Z","snapshot_observed_at":"2026-08-08T15:45:16.463188Z","submitted_at":"2025-06-18T16:53:38Z","title":"The Effect of State Representation on LLM Agent Behavior in Dynamic Routing Games","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T00:00:10.259911Z"},"links":{"cited_paper":"/paper/2209.06899","citing_paper":"/paper/2506.15624"},"observation_digest":"sha256:0c419fe0bee495c6a202b3532a54a39b12f9ac09a3f9c9ff042c5f6719f7e266","observation_id":"08569814-a49b-4695-92ac-52314cefb949","resolution":{"observed_at":"2026-08-07T00:00:10.259911Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.06899","last_updated":"2022-09-14T19:53:32Z","snapshot_observed_at":"2026-08-09T01:54:09.989232Z","submitted_at":"2022-09-14T19:53:32Z","title":"Out of One, Many: Using Language Models to Simulate Human Samples","version":1},"cited_work":{"arxiv_id":"2209.06899","doi":"10.48550/arxiv.2209.06899","metadata_source":"arxiv_reference","pith_arxiv_id":"2209.06899","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argyle, Ethan C","venue":"arXiv (Cornell University)","work_id":"cbe33553-8b55-429f-b1f3-9d7fb49c1a8c","year":2022},"citing_paper":{"arxiv_id":"2508.15503","last_updated":"2026-05-21T21:46:55Z","snapshot_observed_at":"2026-07-06T22:16:05.197728Z","submitted_at":"2025-08-21T12:30:30Z","title":"Guidelines for Empirical Studies in Software Engineering involving Large Language Models","version":5},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-18T22:02:36.307598Z"},"links":{"cited_paper":"/paper/2209.06899","citing_paper":"/paper/2508.15503"},"observation_digest":"sha256:c387c2ef5d842ad13ae6108a7c8d887b06d71947ae21b0f9a0d7678210c4a001","observation_id":"35f7564d-21c5-43ca-8562-1bda42a62b49","resolution":{"observed_at":"2026-05-18T22:02:52.708252Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.06899","last_updated":"2022-09-14T19:53:32Z","snapshot_observed_at":"2026-08-09T01:54:09.989232Z","submitted_at":"2022-09-14T19:53:32Z","title":"Out of One, Many: Using Language Models to Simulate Human Samples","version":1},"cited_work":{"arxiv_id":"2209.06899","doi":"10.48550/arxiv.2209.06899","metadata_source":"arxiv_reference","pith_arxiv_id":"2209.06899","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argyle, Ethan C","venue":"arXiv (Cornell University)","work_id":"cbe33553-8b55-429f-b1f3-9d7fb49c1a8c","year":2022},"citing_paper":{"arxiv_id":"2508.15503","last_updated":"2026-05-21T21:46:55Z","snapshot_observed_at":"2026-07-06T22:16:05.197728Z","submitted_at":"2025-08-21T12:30:30Z","title":"Guidelines for Empirical Studies in Software Engineering involving Large Language Models","version":6},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-25T08:18:18.448122Z"},"links":{"cited_paper":"/paper/2209.06899","citing_paper":"/paper/2508.15503"},"observation_digest":"sha256:2e1f35e170c8eae4ade79ff5dcc52ff5930d17dcf75e4eb346a5215a4c9255ca","observation_id":"8d252832-0c1b-40d7-9b6f-5d17c5216f15","resolution":{"observed_at":"2026-05-25T08:20:32.027600Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.06899","last_updated":"2022-09-14T19:53:32Z","snapshot_observed_at":"2026-08-09T01:54:09.989232Z","submitted_at":"2022-09-14T19:53:32Z","title":"Out of One, Many: Using Language Models to Simulate Human Samples","version":1},"cited_work":{"arxiv_id":"2209.06899","doi":"10.48550/arxiv.2209.06899","metadata_source":"arxiv_reference","pith_arxiv_id":"2209.06899","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argyle, Ethan C","venue":"arXiv (Cornell University)","work_id":"cbe33553-8b55-429f-b1f3-9d7fb49c1a8c","year":2022},"citing_paper":{"arxiv_id":"2509.06337","last_updated":"2026-04-27T15:02:38Z","snapshot_observed_at":"2026-08-02T11:16:44.574840Z","submitted_at":"2025-09-08T04:59:00Z","title":"Large Language Models as Virtual Survey Respondents: Evaluating Sociodemographic Response Generation","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-18T18:46:39.488463Z"},"links":{"cited_paper":"/paper/2209.06899","citing_paper":"/paper/2509.06337"},"observation_digest":"sha256:7d99c0a5c7b9beebfd60bf3c08e07fdd4e7d27f5488d92fc96a8f521e0cc67e8","observation_id":"1dc092e8-19a5-4c9e-8f1b-fdf4e73f2bcc","resolution":{"observed_at":"2026-05-18T18:46:44.890524Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.06899","last_updated":"2022-09-14T19:53:32Z","snapshot_observed_at":"2026-08-09T01:54:09.989232Z","submitted_at":"2022-09-14T19:53:32Z","title":"Out of One, Many: Using Language Models to Simulate Human Samples","version":1},"cited_work":{"arxiv_id":"2209.06899","doi":"10.48550/arxiv.2209.06899","metadata_source":"arxiv_reference","pith_arxiv_id":"2209.06899","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argyle, Ethan C","venue":"arXiv (Cornell University)","work_id":"cbe33553-8b55-429f-b1f3-9d7fb49c1a8c","year":2022},"citing_paper":{"arxiv_id":"2605.28802","last_updated":"2026-05-27T17:55:00Z","snapshot_observed_at":"2026-08-07T20:02:39.022585Z","submitted_at":"2026-05-27T17:55:00Z","title":"Human Label Variation as Stable Signal: Learning Annotator-Specific Explanation Behavior via Cross-Annotator Preference Optimization","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-29T13:05:15.701729Z"},"links":{"cited_paper":"/paper/2209.06899","citing_paper":"/paper/2605.28802"},"observation_digest":"sha256:ea384c811eab125b684264e9911545f1a49d2c65b9fdbc3b9326b03c272ce222","observation_id":"49e55021-a66b-4e6f-b486-4047ed5adc78","resolution":{"observed_at":"2026-06-29T13:13:27.567995Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.06899","last_updated":"2022-09-14T19:53:32Z","snapshot_observed_at":"2026-08-09T01:54:09.989232Z","submitted_at":"2022-09-14T19:53:32Z","title":"Out of One, Many: Using Language Models to Simulate Human Samples","version":1},"cited_work":{"arxiv_id":"2209.06899","doi":"10.48550/arxiv.2209.06899","metadata_source":"arxiv_reference","pith_arxiv_id":"2209.06899","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argyle, Ethan C","venue":"arXiv (Cornell University)","work_id":"cbe33553-8b55-429f-b1f3-9d7fb49c1a8c","year":2022},"citing_paper":{"arxiv_id":"2606.01045","last_updated":"2026-05-31T06:27:58Z","snapshot_observed_at":"2026-08-04T20:57:20.266738Z","submitted_at":"2026-05-31T06:27:58Z","title":"Child-directed speech facilitates production, not comprehension, in BabyLMs","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-06-28T17:28:32.405210Z"},"links":{"cited_paper":"/paper/2209.06899","citing_paper":"/paper/2606.01045"},"observation_digest":"sha256:89335f12ecedc8b8520848371c6c66c0e1ebfd23151c3516f8c81bee6e512b25","observation_id":"b15607dd-0cba-4080-9451-de3354819a58","resolution":{"observed_at":"2026-07-01T21:06:14.341245Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.06899","last_updated":"2022-09-14T19:53:32Z","snapshot_observed_at":"2026-08-09T01:54:09.989232Z","submitted_at":"2022-09-14T19:53:32Z","title":"Out of One, Many: Using Language Models to Simulate Human Samples","version":1},"cited_work":{"arxiv_id":"2209.06899","doi":"10.48550/arxiv.2209.06899","metadata_source":"arxiv_reference","pith_arxiv_id":"2209.06899","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argyle, Ethan C","venue":"arXiv (Cornell University)","work_id":"cbe33553-8b55-429f-b1f3-9d7fb49c1a8c","year":2022},"citing_paper":{"arxiv_id":"2606.04273","last_updated":"2026-06-02T22:58:19Z","snapshot_observed_at":"2026-07-06T23:44:23.633099Z","submitted_at":"2026-06-02T22:58:19Z","title":"Characterizing initial human-AI proof formalization workflows","version":1},"reference_index":218,"source":"arxiv_source","source_observed_at":"2026-06-28T09:29:50.282874Z"},"links":{"cited_paper":"/paper/2209.06899","citing_paper":"/paper/2606.04273"},"observation_digest":"sha256:d7a4bca36ea8291d6b7e1dbfbe0d2dff02de305531a66147ae443d8b8eb24223","observation_id":"4e8f5077-fddd-4897-b525-268d49fd82b3","resolution":{"observed_at":"2026-07-02T04:06:34.889335Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.06899","last_updated":"2022-09-14T19:53:32Z","snapshot_observed_at":"2026-08-09T01:54:09.989232Z","submitted_at":"2022-09-14T19:53:32Z","title":"Out of One, Many: Using Language Models to Simulate Human Samples","version":1},"cited_work":{"arxiv_id":"2209.06899","doi":"10.48550/arxiv.2209.06899","metadata_source":"arxiv_reference","pith_arxiv_id":"2209.06899","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argyle, Ethan C","venue":"arXiv (Cornell University)","work_id":"cbe33553-8b55-429f-b1f3-9d7fb49c1a8c","year":2022},"citing_paper":{"arxiv_id":"2606.12433","last_updated":"2026-05-15T17:42:39Z","snapshot_observed_at":"2026-07-06T23:51:22.219590Z","submitted_at":"2026-05-15T17:42:39Z","title":"Marginal Alignment Does Not Guarantee Joint-Distribution Fidelity: An Official-Reference Audit of Nemotron-Personas-Korea with Cross-Locale Replication","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-06-30T19:04:36.443335Z"},"links":{"cited_paper":"/paper/2209.06899","citing_paper":"/paper/2606.12433"},"observation_digest":"sha256:03942d75b3edefb6cd1dea7c1ac0d1e630934b16c3c3df68e25445415fa76505","observation_id":"587187d6-4c3f-4521-be65-6a1d979a0d6c","resolution":{"observed_at":"2026-06-30T19:05:00.239029Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2209.06899/citation-record","integrity":"/paper/2209.06899/integrity","json":"/paper/2209.06899/citation-record.json","paper":"/paper/2209.06899"},"outbound":[],"paper":{"arxiv_id":"2209.06899","last_updated":"2022-09-14T19:53:32Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T01:54:09.989232Z","submitted_at":"2022-09-14T19:53:32Z","title":"Out of One, Many: Using Language Models to Simulate Human Samples"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2209.06899."}