{"as_of":"2026-08-22T20:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3b65ecdc773dedb613bc5cafb130911b2dd791b30f3c677efdb73c2fe67ec8a2","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":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":18,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T04:37:48.012655Z","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":11,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2212.01681","last_updated":"2022-12-03T20:18:16Z","snapshot_observed_at":"2026-08-22T11:31:18.139330Z","submitted_at":"2022-12-03T20:18:16Z","title":"Language Models as Agent Models","version":1},"cited_work":{"arxiv_id":"2212.01681","doi":"10.48550/arxiv.2212.01681","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.01681","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2212.01681 , year=","venue":"arXiv (Cornell University)","work_id":"a84f71d3-1b26-4c36-a6e9-7198668151e9","year":2022},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-08-14T11:37:32.461743Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/2212.01681","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:7cc41bd0d3fc7828b6f02e67bf3e763c7633c44fa7671407bd2abb8f299daf46","observation_id":"664c519a-1320-46f7-a57e-a298373fa811","resolution":{"observed_at":"2026-05-16T08:12:31.251959Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01681","last_updated":"2022-12-03T20:18:16Z","snapshot_observed_at":"2026-08-22T11:31:18.139330Z","submitted_at":"2022-12-03T20:18:16Z","title":"Language Models as Agent Models","version":1},"cited_work":{"arxiv_id":"2212.01681","doi":"10.48550/arxiv.2212.01681","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.01681","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2212.01681 , year=","venue":"arXiv (Cornell University)","work_id":"a84f71d3-1b26-4c36-a6e9-7198668151e9","year":2022},"citing_paper":{"arxiv_id":"2406.11717","last_updated":"2024-10-30T18:57:07Z","snapshot_observed_at":"2026-08-17T07:39:23.832733Z","submitted_at":"2024-06-17T16:36:12Z","title":"Refusal in Language Models Is Mediated by a Single Direction","version":3},"reference_index":111,"source":"arxiv_source","source_observed_at":"2026-05-13T10:47:55.934081Z"},"links":{"cited_paper":"/paper/2212.01681","citing_paper":"/paper/2406.11717"},"observation_digest":"sha256:85e19105fde0807a839c6cd9850653628f5a0788cf9ad0cc00f645403ae951c5","observation_id":"72b1b278-081b-46df-962c-b78729896737","resolution":{"observed_at":"2026-05-13T10:47:56.019341Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01681","last_updated":"2022-12-03T20:18:16Z","snapshot_observed_at":"2026-08-22T11:31:18.139330Z","submitted_at":"2022-12-03T20:18:16Z","title":"Language Models as Agent Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.01681","snapshot_observed_at":"2026-08-09T11:53:43.095355Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.02528","last_updated":"2025-02-04T17:50:08Z","snapshot_observed_at":"2026-08-09T17:51:48.077638Z","submitted_at":"2025-02-04T17:50:08Z","title":"Why human-AI relationships need socioaffective alignment","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-09T11:53:43.095355Z"},"links":{"cited_paper":"/paper/2212.01681","citing_paper":"/paper/2502.02528"},"observation_digest":"sha256:fb69690490db27496e5f8669bcaa6064de5bb2cee90f617a561a944b9328e970","observation_id":"b7db51a1-a6e6-4903-a0f4-51667a495706","resolution":{"observed_at":"2026-08-09T11:53:43.095355Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01681","last_updated":"2022-12-03T20:18:16Z","snapshot_observed_at":"2026-08-22T11:31:18.139330Z","submitted_at":"2022-12-03T20:18:16Z","title":"Language Models as Agent Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.01681","snapshot_observed_at":"2026-08-07T22:21:52.437844Z","title":"Language models as agent models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.09192","last_updated":"2025-05-27T17:24:38Z","snapshot_observed_at":"2026-08-16T17:41:30.923994Z","submitted_at":"2025-02-13T11:32:09Z","title":"Thinking beyond the anthropomorphic paradigm benefits LLM research","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T22:21:52.437844Z"},"links":{"cited_paper":"/paper/2212.01681","citing_paper":"/paper/2502.09192"},"observation_digest":"sha256:0ed839cc4f253e401f42f61b1eaac25e7ff02d5d4d2d47c30781c8d0db9df9b3","observation_id":"a813b98c-bd1a-4168-a166-5324886f00cc","resolution":{"observed_at":"2026-08-07T22:21:52.437844Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01681","last_updated":"2022-12-03T20:18:16Z","snapshot_observed_at":"2026-08-22T11:31:18.139330Z","submitted_at":"2022-12-03T20:18:16Z","title":"Language Models as Agent Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.01681","snapshot_observed_at":"2026-08-16T04:37:48.012655Z","title":"Language models as agent models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.00853","last_updated":"2025-05-01T20:36:19Z","snapshot_observed_at":"2026-08-16T08:05:56.374210Z","submitted_at":"2025-05-01T20:36:19Z","title":"LLM Ethics Benchmark: A Three-Dimensional Assessment System for Evaluating Moral Reasoning in Large Language Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T04:37:48.012655Z"},"links":{"cited_paper":"/paper/2212.01681","citing_paper":"/paper/2505.00853"},"observation_digest":"sha256:f37b7f88bee2da9bafe04cd4b768def125c646846204244734cbd4ed908856cc","observation_id":"87a759c4-0df4-4622-9955-5f1e1028daad","resolution":{"observed_at":"2026-08-16T04:37:48.012655Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01681","last_updated":"2022-12-03T20:18:16Z","snapshot_observed_at":"2026-08-22T11:31:18.139330Z","submitted_at":"2022-12-03T20:18:16Z","title":"Language Models as Agent Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.01681","snapshot_observed_at":"2026-08-15T20:21:57.614797Z","title":"arXiv preprint arXiv:2212.01681 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.13157","last_updated":"2025-05-19T14:18:16Z","snapshot_observed_at":"2026-08-21T21:57:43.180804Z","submitted_at":"2025-05-19T14:18:16Z","title":"Role-Playing Evaluation for Large Language Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T20:21:57.614797Z"},"links":{"cited_paper":"/paper/2212.01681","citing_paper":"/paper/2505.13157"},"observation_digest":"sha256:ee921541fc4a2e2696381c5d9a6cfd8b90fc0ef7f12e8571ca2300ef4698a086","observation_id":"e27628fd-fbe8-4e6d-aef2-7955b3382dab","resolution":{"observed_at":"2026-08-15T20:21:57.614797Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01681","last_updated":"2022-12-03T20:18:16Z","snapshot_observed_at":"2026-08-22T11:31:18.139330Z","submitted_at":"2022-12-03T20:18:16Z","title":"Language Models as Agent Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.01681","snapshot_observed_at":"2026-08-07T11:56:01.449087Z","title":"(2022) Language Models as Agent Models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.01095","last_updated":"2025-06-01T17:39:51Z","snapshot_observed_at":"2026-08-19T23:43:18.642102Z","submitted_at":"2025-06-01T17:39:51Z","title":"Modular Speaker Architecture: A Framework for Sustaining Responsibility and Contextual Integrity in Multi-Agent AI Communication","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T11:56:01.449087Z"},"links":{"cited_paper":"/paper/2212.01681","citing_paper":"/paper/2506.01095"},"observation_digest":"sha256:d9fa35412be80c1b944e3660fc42f0d0af2cff74efa56cc12bb62d3c8d91e9b3","observation_id":"b994c606-8715-417e-87b8-aa9ef8c3b236","resolution":{"observed_at":"2026-08-07T11:56:01.449087Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01681","last_updated":"2022-12-03T20:18:16Z","snapshot_observed_at":"2026-08-22T11:31:18.139330Z","submitted_at":"2022-12-03T20:18:16Z","title":"Language Models as Agent Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.01681","snapshot_observed_at":"2026-08-15T20:06:11.609485Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.13403","last_updated":"2025-06-16T12:17:11Z","snapshot_observed_at":"2026-08-20T04:52:55.106866Z","submitted_at":"2025-06-16T12:17:11Z","title":"Deflating Deflationism: A Critical Perspective on Debunking Arguments Against LLM Mentality","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-15T20:06:11.609485Z"},"links":{"cited_paper":"/paper/2212.01681","citing_paper":"/paper/2506.13403"},"observation_digest":"sha256:1b866cfe65f84e4bd3369096174d03ae8f0536ef83fd54a3ac9fe4409a9c5e05","observation_id":"6f2308f1-1be6-4987-a323-31be3d561b05","resolution":{"observed_at":"2026-08-15T20:06:11.609485Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01681","last_updated":"2022-12-03T20:18:16Z","snapshot_observed_at":"2026-08-22T11:31:18.139330Z","submitted_at":"2022-12-03T20:18:16Z","title":"Language Models as Agent Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.01681","snapshot_observed_at":"2026-08-06T12:44:44.861954Z","title":"Language models as agent models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.21513","last_updated":"2025-07-29T05:30:57Z","snapshot_observed_at":"2026-08-19T23:54:41.027524Z","submitted_at":"2025-07-29T05:30:57Z","title":"What Does it Mean for a Neural Network to Learn a \"World Model\"?","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-06T12:44:44.861954Z"},"links":{"cited_paper":"/paper/2212.01681","citing_paper":"/paper/2507.21513"},"observation_digest":"sha256:57c8e2ec02f15163b412b60bf1feb207b5ae4db76745763eb29d68e27ad7a7ea","observation_id":"8b15a018-5b2f-41d8-bd96-1d3fd6c4e905","resolution":{"observed_at":"2026-08-06T12:44:44.861954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01681","last_updated":"2022-12-03T20:18:16Z","snapshot_observed_at":"2026-08-22T11:31:18.139330Z","submitted_at":"2022-12-03T20:18:16Z","title":"Language Models as Agent Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.01681","snapshot_observed_at":"2026-08-04T11:34:36.630563Z","title":"Language Models as Agent Models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.04391","last_updated":"2026-07-01T18:39:53Z","snapshot_observed_at":"2026-08-19T11:29:54.164069Z","submitted_at":"2025-10-05T23:01:10Z","title":"Psychological Imagination Networks Show Cross-Population Centrality and Clustering Alignment in Humans That Large Language Models Fail to Replicate","version":5},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-04T11:34:36.630563Z"},"links":{"cited_paper":"/paper/2212.01681","citing_paper":"/paper/2510.04391"},"observation_digest":"sha256:a8148531198ca54f95b2e42aa24b151b371f8861bf5d56320a4a8f4e5c3076d1","observation_id":"238fa592-b21e-44f1-a6cc-a14dfb3c2196","resolution":{"observed_at":"2026-08-04T11:34:36.630563Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01681","last_updated":"2022-12-03T20:18:16Z","snapshot_observed_at":"2026-08-22T11:31:18.139330Z","submitted_at":"2022-12-03T20:18:16Z","title":"Language Models as Agent Models","version":1},"cited_work":{"arxiv_id":"2212.01681","doi":"10.48550/arxiv.2212.01681","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.01681","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2212.01681 , year=","venue":"arXiv (Cornell University)","work_id":"a84f71d3-1b26-4c36-a6e9-7198668151e9","year":2022},"citing_paper":{"arxiv_id":"2603.19282","last_updated":"2026-04-06T18:38:02Z","snapshot_observed_at":"2026-08-16T16:19:59.234101Z","submitted_at":"2026-03-02T16:10:34Z","title":"Framing Effects in Independent-Agent Large Language Models: A Cross-Family Behavioral Analysis","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-15T18:01:02.298383Z"},"links":{"cited_paper":"/paper/2212.01681","citing_paper":"/paper/2603.19282"},"observation_digest":"sha256:7f7ca1fc5edfacf665e7b94eb114f21e8420887312938eff9a3714dcfcb727d7","observation_id":"a3ebdaf3-1f9c-4da6-b838-b9ebe72a3859","resolution":{"observed_at":"2026-05-15T18:01:25.308618Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01681","last_updated":"2022-12-03T20:18:16Z","snapshot_observed_at":"2026-08-22T11:31:18.139330Z","submitted_at":"2022-12-03T20:18:16Z","title":"Language Models as Agent Models","version":1},"cited_work":{"arxiv_id":"2212.01681","doi":"10.48550/arxiv.2212.01681","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.01681","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2212.01681 , year=","venue":"arXiv (Cornell University)","work_id":"a84f71d3-1b26-4c36-a6e9-7198668151e9","year":2022},"citing_paper":{"arxiv_id":"2605.03160","last_updated":"2026-07-25T20:25:34Z","snapshot_observed_at":"2026-08-16T06:40:57.283293Z","submitted_at":"2026-05-04T21:11:21Z","title":"Steering grids for sparse-autoencoder features: when a top-context label names an activation regime rather than a causal axis","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-08T18:52:01.624279Z"},"links":{"cited_paper":"/paper/2212.01681","citing_paper":"/paper/2605.03160"},"observation_digest":"sha256:3ea89432b116e12ec8e9d2b3b0d95a9963527cd82af649f24aefc5accbe0a092","observation_id":"abda24c8-a59f-48ac-b900-fd29c7071c77","resolution":{"observed_at":"2026-05-12T10:46:30.199012Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01681","last_updated":"2022-12-03T20:18:16Z","snapshot_observed_at":"2026-08-22T11:31:18.139330Z","submitted_at":"2022-12-03T20:18:16Z","title":"Language Models as Agent Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.01681","snapshot_observed_at":"2026-08-02T14:57:39.677930Z","title":"Anthropic","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.03160","last_updated":"2026-07-25T20:25:34Z","snapshot_observed_at":"2026-08-16T06:40:57.283293Z","submitted_at":"2026-05-04T21:11:21Z","title":"Steering grids for sparse-autoencoder features: when a top-context label names an activation regime rather than a causal axis","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-02T14:57:39.677930Z"},"links":{"cited_paper":"/paper/2212.01681","citing_paper":"/paper/2605.03160"},"observation_digest":"sha256:8fb5f1d0fb88163ac5ab0fdc4551ebd173a880c08fc944daacd2d716806ef4ea","observation_id":"d6e547ed-2bec-4cb6-a9f1-e780bcb8deb0","resolution":{"observed_at":"2026-08-02T14:57:39.677930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01681","last_updated":"2022-12-03T20:18:16Z","snapshot_observed_at":"2026-08-22T11:31:18.139330Z","submitted_at":"2022-12-03T20:18:16Z","title":"Language Models as Agent Models","version":1},"cited_work":{"arxiv_id":"2212.01681","doi":"10.48550/arxiv.2212.01681","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.01681","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2212.01681 , year=","venue":"arXiv (Cornell University)","work_id":"a84f71d3-1b26-4c36-a6e9-7198668151e9","year":2022},"citing_paper":{"arxiv_id":"2605.13339","last_updated":"2026-05-18T11:15:49Z","snapshot_observed_at":"2026-08-11T22:20:56.688036Z","submitted_at":"2026-05-13T10:57:37Z","title":"Probing Persona-Dependent Preferences in Language Models","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-20T21:48:31.336745Z"},"links":{"cited_paper":"/paper/2212.01681","citing_paper":"/paper/2605.13339"},"observation_digest":"sha256:cc749c443cb135730322e7cf982e6c78d1cc0a963fda56907bb307db38b0f09b","observation_id":"68348249-158a-4860-ac97-8301257c871b","resolution":{"observed_at":"2026-05-20T21:49:05.202255Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01681","last_updated":"2022-12-03T20:18:16Z","snapshot_observed_at":"2026-08-22T11:31:18.139330Z","submitted_at":"2022-12-03T20:18:16Z","title":"Language Models as Agent Models","version":1},"cited_work":{"arxiv_id":"2212.01681","doi":"10.48550/arxiv.2212.01681","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.01681","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2212.01681 , year=","venue":"arXiv (Cornell University)","work_id":"a84f71d3-1b26-4c36-a6e9-7198668151e9","year":2022},"citing_paper":{"arxiv_id":"2605.22502","last_updated":"2026-05-21T13:54:11Z","snapshot_observed_at":"2026-08-17T13:05:52.827980Z","submitted_at":"2026-05-21T13:54:11Z","title":"Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-05-22T06:26:31.841138Z"},"links":{"cited_paper":"/paper/2212.01681","citing_paper":"/paper/2605.22502"},"observation_digest":"sha256:82a61eaa4243f6dca15aa4f0a05e220a8a4e8cc3242500df9c47b7553003221c","observation_id":"eda803a2-10c6-4957-baab-267df390e0ca","resolution":{"observed_at":"2026-05-22T06:31:10.448636Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01681","last_updated":"2022-12-03T20:18:16Z","snapshot_observed_at":"2026-08-22T11:31:18.139330Z","submitted_at":"2022-12-03T20:18:16Z","title":"Language Models as Agent Models","version":1},"cited_work":{"arxiv_id":"2212.01681","doi":"10.48550/arxiv.2212.01681","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.01681","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2212.01681 , year=","venue":"arXiv (Cornell University)","work_id":"a84f71d3-1b26-4c36-a6e9-7198668151e9","year":2022},"citing_paper":{"arxiv_id":"2606.23668","last_updated":"2026-06-22T17:52:59Z","snapshot_observed_at":"2026-07-06T23:58:20.975630Z","submitted_at":"2026-06-22T17:52:59Z","title":"On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-26T09:13:55.624609Z"},"links":{"cited_paper":"/paper/2212.01681","citing_paper":"/paper/2606.23668"},"observation_digest":"sha256:5feecc1b20239fecc627ca5dbf0ea222ad6e24278c3eafbba5ef46acf2d2d9e1","observation_id":"8177ad14-3bb0-4d98-bc70-8c14c69d1222","resolution":{"observed_at":"2026-07-04T09:59:45.729385Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01681","last_updated":"2022-12-03T20:18:16Z","snapshot_observed_at":"2026-08-22T11:31:18.139330Z","submitted_at":"2022-12-03T20:18:16Z","title":"Language Models as Agent Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.01681","snapshot_observed_at":"2026-08-01T07:46:06.129026Z","title":"Findings of the Association for Computational Linguistics: EMNLP 2022 , year =","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.21356","last_updated":"2026-07-23T14:19:28Z","snapshot_observed_at":"2026-08-20T08:17:02.683964Z","submitted_at":"2026-07-23T14:19:28Z","title":"Emergent Misalignment Recruits a Pre-existing Persona Subspace","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-01T07:46:06.129026Z"},"links":{"cited_paper":"/paper/2212.01681","citing_paper":"/paper/2607.21356"},"observation_digest":"sha256:0014a6dfde945f71c28207370692190ad36cf30b24d01a8ef19e9d4573ad4b93","observation_id":"9fd11f69-a00c-49dd-8a08-d647165d0b80","resolution":{"observed_at":"2026-08-01T07:46:06.129026Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01681","last_updated":"2022-12-03T20:18:16Z","snapshot_observed_at":"2026-08-22T11:31:18.139330Z","submitted_at":"2022-12-03T20:18:16Z","title":"Language Models as Agent Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.01681","snapshot_observed_at":"2026-08-02T13:17:06.410772Z","title":"arXiv preprint arXiv:2212.01681 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21612","last_updated":"2026-05-23T17:06:02Z","snapshot_observed_at":"2026-08-18T19:23:30.267003Z","submitted_at":"2026-05-23T17:06:02Z","title":"Procedural Knowledge Is Not Low-Rank: Why LoRA Fails to Internalize Multi-Step Procedures","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-02T13:17:06.410772Z"},"links":{"cited_paper":"/paper/2212.01681","citing_paper":"/paper/2607.21612"},"observation_digest":"sha256:fe9fbe8eeacafb254bccb3753056ab8b96b48704800581a658d57290f7bb4909","observation_id":"09f1fec7-673e-414f-9562-48c23ab8ae1c","resolution":{"observed_at":"2026-08-02T13:17:06.410772Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2212.01681/citation-record","integrity":"/paper/2212.01681/integrity","json":"/paper/2212.01681/citation-record.json","paper":"/paper/2212.01681"},"outbound":[],"paper":{"arxiv_id":"2212.01681","last_updated":"2022-12-03T20:18:16Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-22T11:31:18.139330Z","submitted_at":"2022-12-03T20:18:16Z","title":"Language Models as Agent 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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2212.01681."}