{"as_of":"2026-08-07T23:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:522f6405341bffc80531563a4a442cff27483a29d7dd83bc22d02089632b3218","coverage":[{"denominator":24,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":24,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:08:20.006535Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T22:09:05.655499Z","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":"2026-07-03T04:27:36.370794Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"cited_work":{"arxiv_id":"2505.22655","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.22655","snapshot_observed_at":"2026-07-03T04:27:36.370794Z","title":"Position: Uncertainty quantification needs reassessment for large-language model agents","venue":null,"work_id":"ff4e94ee-b718-44d9-a238-e4593c92d387","year":2025},"citing_paper":{"arxiv_id":"2404.14642","last_updated":"2026-04-14T02:53:06Z","snapshot_observed_at":"2026-07-31T19:01:00.511893Z","submitted_at":"2024-04-23T00:39:26Z","title":"Uncertainty Quantification on Graph Learning: A Survey","version":4},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-24T02:26:29.355957Z"},"links":{"cited_paper":"/paper/2505.22655","citing_paper":"/paper/2404.14642"},"observation_digest":"sha256:a1cd4b6427d6e7a92b9ad6c58b956b0d1d4fcc2ed74ed63ff968c4df05e35dec","observation_id":"1157a48e-4657-443a-8ed3-1fa77b170a77","resolution":{"observed_at":"2026-05-24T02:28:46.095092Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"cited_work":{"arxiv_id":"2505.22655","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.22655","snapshot_observed_at":"2026-07-03T04:27:36.370794Z","title":"Position: Uncertainty quantification needs reassessment for large-language model agents","venue":null,"work_id":"ff4e94ee-b718-44d9-a238-e4593c92d387","year":2025},"citing_paper":{"arxiv_id":"2505.11737","last_updated":"2026-04-11T18:08:02Z","snapshot_observed_at":"2026-08-02T07:06:47.956538Z","submitted_at":"2025-05-16T22:47:32Z","title":"TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning","version":4},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-22T13:58:07.913104Z"},"links":{"cited_paper":"/paper/2505.22655","citing_paper":"/paper/2505.11737"},"observation_digest":"sha256:2270dac32fb985d0ece14ad108fcec31ed15b4f81795086ade1368dea83add42","observation_id":"3c283511-0872-4d0b-b7f7-47baecbb0d76","resolution":{"observed_at":"2026-05-22T14:01:38.240097Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.22655","snapshot_observed_at":"2026-08-05T22:09:05.655499Z","title":"Position: Uncertainty quantification needs reassessment for large-language model agents","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.07556","last_updated":"2025-09-06T12:35:53Z","snapshot_observed_at":"2026-08-07T08:21:13.704669Z","submitted_at":"2025-08-11T02:33:53Z","title":"Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning","version":2},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-08-05T22:09:05.655499Z"},"links":{"cited_paper":"/paper/2505.22655","citing_paper":"/paper/2508.07556"},"observation_digest":"sha256:c62f7bd936991fd42a00cd3906c7ab7c2f34152a1d45365eaba31f34653ab1a0","observation_id":"855dd36a-81e8-45c9-ac1e-e25c9e94aea7","resolution":{"observed_at":"2026-08-05T22:09:05.655499Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"cited_work":{"arxiv_id":"2505.22655","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.22655","snapshot_observed_at":"2026-07-03T04:27:36.370794Z","title":"Position: Uncertainty quantification needs reassessment for large-language model agents","venue":null,"work_id":"ff4e94ee-b718-44d9-a238-e4593c92d387","year":2025},"citing_paper":{"arxiv_id":"2605.24756","last_updated":"2026-05-23T22:22:00Z","snapshot_observed_at":"2026-08-03T15:26:22.456586Z","submitted_at":"2026-05-23T22:22:00Z","title":"Proper Scoring Rules for Agentic Uncertainty Quantification","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-30T12:59:57.639608Z"},"links":{"cited_paper":"/paper/2505.22655","citing_paper":"/paper/2605.24756"},"observation_digest":"sha256:ceaf8225bc932aeec24c543f6c81c092286a10234a76feb3c52f68fae80db6a0","observation_id":"9b7ed1c1-00ed-47d0-9527-48323a230d0d","resolution":{"observed_at":"2026-06-30T13:04:40.129284Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"cited_work":{"arxiv_id":"2505.22655","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.22655","snapshot_observed_at":"2026-07-03T04:27:36.370794Z","title":"Position: Uncertainty quantification needs reassessment for large-language model agents","venue":null,"work_id":"ff4e94ee-b718-44d9-a238-e4593c92d387","year":2025},"citing_paper":{"arxiv_id":"2605.26835","last_updated":"2026-05-26T10:53:00Z","snapshot_observed_at":"2026-08-07T19:38:12.989388Z","submitted_at":"2026-05-26T10:53:00Z","title":"Helicase: Uncertainty-Guided Supply Chain Knowledge Graph Construction with Autonomous Multi-Agent LLMs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-29T17:20:54.266770Z"},"links":{"cited_paper":"/paper/2505.22655","citing_paper":"/paper/2605.26835"},"observation_digest":"sha256:6d5486dab7b3061ba45d4fc81e621e412a839b4e7fcb75688bf23b5192ef3c48","observation_id":"e29d623c-56a5-4f74-9eb4-b7c468785b28","resolution":{"observed_at":"2026-06-29T17:23:44.604600Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"cited_work":{"arxiv_id":"2505.22655","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.22655","snapshot_observed_at":"2026-07-03T04:27:36.370794Z","title":"Position: Uncertainty quantification needs reassessment for large-language model agents","venue":null,"work_id":"ff4e94ee-b718-44d9-a238-e4593c92d387","year":2025},"citing_paper":{"arxiv_id":"2606.10777","last_updated":"2026-06-09T12:31:32Z","snapshot_observed_at":"2026-07-31T18:41:44.976569Z","submitted_at":"2026-06-09T12:31:32Z","title":"Can we trust our models? Epistemic calibration in second-order classification","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-27T13:57:20.020276Z"},"links":{"cited_paper":"/paper/2505.22655","citing_paper":"/paper/2606.10777"},"observation_digest":"sha256:22d5fa5131f05ec4fe80e3b2abef806d21e7127e83785ce21baa613eb060e362","observation_id":"c40daffc-295c-4fa7-a03a-3f8b148a8877","resolution":{"observed_at":"2026-07-03T04:27:36.372448Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"cited_work":{"arxiv_id":"2505.22655","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.22655","snapshot_observed_at":"2026-07-03T04:27:36.370794Z","title":"Position: Uncertainty quantification needs reassessment for large-language model agents","venue":null,"work_id":"ff4e94ee-b718-44d9-a238-e4593c92d387","year":2025},"citing_paper":{"arxiv_id":"2606.28733","last_updated":"2026-06-27T04:49:37Z","snapshot_observed_at":"2026-08-06T08:47:36.002804Z","submitted_at":"2026-06-27T04:49:37Z","title":"Agentic Abstention: Do Agents Know When to Stop Instead of Act?","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-30T09:54:07.138157Z"},"links":{"cited_paper":"/paper/2505.22655","citing_paper":"/paper/2606.28733"},"observation_digest":"sha256:0ecc458b465871c44973d1943921df1d1e52a6c89bd13acd645f705d6f99735b","observation_id":"341f2f35-84e5-4268-9b26-e94c1319b1ba","resolution":{"observed_at":"2026-06-30T09:54:34.361660Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.22655/citation-record","integrity":"/paper/2505.22655/integrity","json":"/paper/2505.22655/citation-record.json","paper":"/paper/2505.22655"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2302.04023","last_updated":"2023-11-28T09:01:12Z","snapshot_observed_at":"2026-08-07T14:17:12.140094Z","submitted_at":"2023-02-08T12:35:34Z","title":"A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.04023","snapshot_observed_at":"2026-08-07T13:08:17.956464Z","title":"A multitask, mul- tilingual, multimodal evaluation of chatgpt on reason- ing, hallucination, and interactivity.arXiv preprint arXiv:2302.04023,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:17.956464Z"},"links":{"cited_paper":"/paper/2302.04023","citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:77cf6167e16d0a5109a357d39f2f01494b489e2befb4076e27f6d8247cbf5ef6","observation_id":"3c30939c-192d-4370-84e2-8e42ba9238bb","resolution":{"observed_at":"2026-08-07T13:08:17.956464Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:08:18.476898Z","title":"How disentangled are your classifi- cation uncertainties?arXiv preprint arXiv:2408.12175,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:18.476898Z"},"links":{"citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:7859ebc2729dcdbba9b5e1fd52ee0f6e3a828857fa4244d9dcc4e3739bd85930","observation_id":"f40498b4-636f-421f-b8c5-733a2c019fb7","resolution":{"observed_at":"2026-08-07T13:08:18.476898Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.10566","last_updated":"2022-06-21T17:46:35Z","snapshot_observed_at":"2026-08-07T15:02:12.151074Z","submitted_at":"2022-06-21T17:46:35Z","title":"Ensembling over Classifiers: a Bias-Variance Perspective","version":1},"cited_work":{"arxiv_id":"2206.10566","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.10566","snapshot_observed_at":"2026-08-07T13:08:21.109726Z","title":"Ensembling over Classifiers: a Bias-Variance Perspective","venue":"stat.ML","work_id":"6be06888-2ac4-439a-93cc-96a42fcd2f6c","year":2022},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:18.665912Z"},"links":{"cited_paper":"/paper/2206.10566","citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:66c227e1428dc5a2636e1be2e12c979a354cdb91026fca5824c451231458b788","observation_id":"3a519f61-d99c-4f7c-86f0-02bc0d75c1a2","resolution":{"observed_at":"2026-08-07T13:08:21.178445Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.08391","last_updated":"2025-08-17T19:28:05Z","snapshot_observed_at":"2026-08-07T01:45:55.183884Z","submitted_at":"2024-06-12T16:41:31Z","title":"Large Language Models Must Be Taught to Know What They Don't Know","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.08391","snapshot_observed_at":"2026-08-07T13:08:18.941111Z","title":"Large language models must be taught to know what they don’t know.arXiv preprint arXiv:2406.08391,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:18.941111Z"},"links":{"cited_paper":"/paper/2406.08391","citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:3df889976bb8d0cae3987014f40d337b981b4dc79c7200d51f9aa600b7052c21","observation_id":"59439465-68dc-4368-b170-1cfd2ac423ce","resolution":{"observed_at":"2026-08-07T13:08:18.941111Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"status/1817556","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:08:20.682587Z","title":"Accessed on 04.08.2024","venue":null,"work_id":"7b34687a-c7ee-40af-be50-3384ad85358f","year":2024},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:19.090874Z"},"links":{"citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:55d36e3a005bb0534b4a3570afe5aa240b30ababf4fabf308e1418d7075583ae","observation_id":"62acad5f-f6e3-47d7-8ece-f7061b80ab60","resolution":{"observed_at":"2026-08-07T13:08:20.764011Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.10727","last_updated":"2025-02-17T07:31:30Z","snapshot_observed_at":"2026-08-02T18:22:00.969702Z","submitted_at":"2024-02-16T14:40:22Z","title":"From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.10727","snapshot_observed_at":"2026-08-07T13:08:19.166517Z","title":"Predictive uncertainty quantification via risk decompositions for strictly proper scoring rules.arXiv preprint arXiv:2402.10727,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:19.166517Z"},"links":{"cited_paper":"/paper/2402.10727","citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:2b2ff0087cd08751a383d7128d56cd251491b096dd93b1fb56826efef875a414","observation_id":"2129dd59-5957-4438-8cee-7371585d7885","resolution":{"observed_at":"2026-08-07T13:08:19.166517Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:08:21.537077Z","title":"AmbigQA: Answering ambiguous open- domain questions","venue":null,"work_id":"cbf69880-0f50-4fe5-95bd-29bfc5b4c908","year":2020},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:19.428971Z"},"links":{"citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:7968cd0043d6b4a3d0e05d1acf2f8b6f7deedd9345649de7c63f927a2b1ca56f","observation_id":"d24a72a7-b55d-4551-8283-cd239e7401e6","resolution":{"observed_at":"2026-08-07T13:08:22.046194Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03446","last_updated":"2024-10-04T14:08:02Z","snapshot_observed_at":"2026-08-04T17:58:16.328883Z","submitted_at":"2024-10-04T14:08:02Z","title":"On Uncertainty In Natural Language Processing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03446","snapshot_observed_at":"2026-08-07T13:08:19.661974Z","title":"On uncertainty in natural language process- ing.arXiv preprint arXiv:2410.03446,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:19.661974Z"},"links":{"cited_paper":"/paper/2410.03446","citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:5bc14870d4c20c758f89d4915d2eaf097619e5accc5de89e8ca4720b893b9117","observation_id":"47c5f2b5-7efa-49bf-a1df-15a4d871ae55","resolution":{"observed_at":"2026-08-07T13:08:19.661974Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20974","last_updated":"2024-10-04T17:23:48Z","snapshot_observed_at":"2026-07-06T18:23:23.565502Z","submitted_at":"2024-05-31T16:21:16Z","title":"SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20974","snapshot_observed_at":"2026-08-07T13:08:19.736992Z","title":"Sayself: Teach- ing llms to express confidence with self-reflective ra- tionales, 2024a","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:19.736992Z"},"links":{"cited_paper":"/paper/2405.20974","citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:5a9f69e67c55d5594c8a3533efa01c48f38ecaf9e0d3314b54e58471e23599ab","observation_id":"295cd4d6-2235-4904-b95c-1f4ed67d338b","resolution":{"observed_at":"2026-08-07T13:08:19.736992Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:08:19.826677Z","title":"Gal Yona, Roee Aharoni, and Mor Geva","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:19.826677Z"},"links":{"citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:e13b14b53d08685b63a65489a0de73b210e168d679dcb9246f6ab96cf9e8ad3a","observation_id":"47cf881e-f404-4abb-af3b-01288acd1636","resolution":{"observed_at":"2026-08-07T13:08:19.826677Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:08:19.913915Z","title":"Boxuan Zhang and Ruqi Zhang","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:19.913915Z"},"links":{"citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:46e5e019f8d44e52c173658f455281c75b08023d4bbff5e502c26384914759b8","observation_id":"48bcb10c-83f2-41a5-b16b-5e945c44b410","resolution":{"observed_at":"2026-08-07T13:08:19.913915Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17214","last_updated":"2025-06-03T04:13:58Z","snapshot_observed_at":"2026-08-07T17:53:05.247702Z","submitted_at":"2025-02-24T14:48:06Z","title":"CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17214","snapshot_observed_at":"2026-08-07T13:08:20.006535Z","title":"Michael J.Q","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:20.006535Z"},"links":{"cited_paper":"/paper/2502.17214","citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:6e21813cad63b3f681919e50f1f16592f98612eb27cf83d3f15123d3784a8417","observation_id":"65bc28ba-f6f4-49ae-a915-9903071d539e","resolution":{"observed_at":"2026-08-07T13:08:20.006535Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.15703","last_updated":"2023-07-28T17:51:21Z","snapshot_observed_at":"2026-07-06T15:59:56.179560Z","submitted_at":"2023-07-28T17:51:21Z","title":"Uncertainty in Natural Language Generation: From Theory to Applications","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.15703","snapshot_observed_at":"2026-08-07T13:08:17.822126Z","title":"Uncertainty in natural language generation: From theory to applications.arXiv preprint arXiv:2307.15703,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":1990,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:17.822126Z"},"links":{"cited_paper":"/paper/2307.15703","citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:1b91d54a0992013a4ff221105d455b646c2cb1b6c1cb2ce6b4cb23164ef41caf","observation_id":"902e44a9-05b4-4465-af69-1bb6ce4a38df","resolution":{"observed_at":"2026-08-07T13:08:17.822126Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1112.5745","last_updated":"2011-12-24T17:53:19Z","snapshot_observed_at":"2026-07-06T02:40:01.191970Z","submitted_at":"2011-12-24T17:53:19Z","title":"Bayesian Active Learning for Classification and Preference Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1112.5745","snapshot_observed_at":"2026-08-07T13:08:18.790591Z","title":"Bayesian active learning for classification and preference learning.arXiv preprint arXiv:1112.5745,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":1997,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:18.790591Z"},"links":{"cited_paper":"/paper/1112.5745","citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:b415bd170b415537a59ddc6354d0af23785bc0e2b2e0f84cd355ec884e7925ec","observation_id":"40504043-21bc-49ed-a9f5-2530d912f58d","resolution":{"observed_at":"2026-08-07T13:08:18.790591Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.13341","last_updated":"2022-07-27T07:50:57Z","snapshot_observed_at":"2026-07-06T13:35:47.057503Z","submitted_at":"2022-07-27T07:50:57Z","title":"Towards Clear Expectations for Uncertainty Estimation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.13341","snapshot_observed_at":"2026-08-07T13:08:18.341728Z","title":"Towards clear expectations for uncertainty estimation.arXiv preprint arXiv:2207.13341,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":2004,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:18.341728Z"},"links":{"cited_paper":"/paper/2207.13341","citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:d9a63415b806c3eb145a57ce58fb27cf5c9780707f52d2189b886d7fa3ab992b","observation_id":"08b89daa-dd33-4aaf-9d60-647456694234","resolution":{"observed_at":"2026-08-07T13:08:18.341728Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.03822","last_updated":"2018-06-11T06:10:11Z","snapshot_observed_at":"2026-08-02T00:06:16.208560Z","submitted_at":"2018-06-11T06:10:11Z","title":"Know What You Don't Know: Unanswerable Questions for SQuAD","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.03822","snapshot_observed_at":"2026-08-07T13:08:19.499743Z","title":"Know what you don’t know: Unanswerable questions for squad","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:19.499743Z"},"links":{"cited_paper":"/paper/1806.03822","citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:0f05850bd75977cfba466211926ebccc8ecd48a23c8b33d6afdb431d55146d12","observation_id":"b762aa4c-4620-4d6d-a604-719f114f426b","resolution":{"observed_at":"2026-08-07T13:08:19.499743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.16703","last_updated":"2025-01-28T10:02:15Z","snapshot_observed_at":"2026-08-04T23:54:33.890777Z","submitted_at":"2023-05-26T07:44:19Z","title":"Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.16703","snapshot_observed_at":"2026-08-07T13:08:18.565726Z","title":"Sources of un- certainty in machine learning–a statisticians’ view.arXiv preprint arXiv:2305.16703,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:18.565726Z"},"links":{"cited_paper":"/paper/2305.16703","citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:655822a899911ea547ed91678de5eaf7c611a5a7889e9aa1a7ad861842834e30","observation_id":"86f3acbf-2bf7-4995-a71e-576f024cd856","resolution":{"observed_at":"2026-08-07T13:08:18.565726Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10786","last_updated":"2025-06-16T10:48:56Z","snapshot_observed_at":"2026-07-06T19:33:16.949210Z","submitted_at":"2024-10-14T17:52:18Z","title":"On Information-Theoretic Measures of Predictive Uncertainty","version":2},"cited_work":{"arxiv_id":"2410.10786","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.10786","snapshot_observed_at":"2026-08-07T13:08:20.291250Z","title":"On Information-Theoretic Measures of Predictive Uncertainty","venue":"cs.LG","work_id":"5b316162-9414-4b11-a75b-13d80797d32f","year":2024},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:19.584774Z"},"links":{"cited_paper":"/paper/2410.10786","citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:07731a8719ec44b672900eb566bcc0c0b8a6e1fd576c90407df1b516fb433b4f","observation_id":"aebffad1-5729-49d3-b390-d579d55508ea","resolution":{"observed_at":"2026-08-07T13:08:20.340252Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.15814","last_updated":"2024-11-07T17:33:37Z","snapshot_observed_at":"2026-07-06T18:50:13.559866Z","submitted_at":"2024-07-22T17:26:12Z","title":"Perceptions of Linguistic Uncertainty by Language Models and Humans","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.15814","snapshot_observed_at":"2026-08-07T13:08:18.215676Z","title":"Perceptions of linguistic un- certainty by language models and humans.arXiv preprint arXiv:2407.15814,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:18.215676Z"},"links":{"cited_paper":"/paper/2407.15814","citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:b9e14dd513732c4274d540e95947e92a0cf968e0563556b5cdc37a7716a4bd8c","observation_id":"5a315e8c-e0d1-4fed-ab43-5d818c83ef4d","resolution":{"observed_at":"2026-08-07T13:08:18.215676Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.14334","last_updated":"2022-06-13T05:04:53Z","snapshot_observed_at":"2026-08-03T04:20:54.522222Z","submitted_at":"2022-05-28T05:02:31Z","title":"Teaching Models to Express Their Uncertainty in Words","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.14334","snapshot_observed_at":"2026-08-07T13:08:19.342106Z","title":"Teach- ing models to express their uncertainty in words.arXiv preprint arXiv:2205.14334,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:19.342106Z"},"links":{"cited_paper":"/paper/2205.14334","citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:56d260eacbbdd1189f05532a8cfd00b9efb482d1c1d53bccf85abd062a72c1cb","observation_id":"71c7f462-0115-4ce0-bacd-121c915d0c26","resolution":{"observed_at":"2026-08-07T13:08:19.342106Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2102.08501","last_updated":"2023-02-03T05:00:34Z","snapshot_observed_at":"2026-08-01T20:01:49.840404Z","submitted_at":"2021-02-16T23:50:35Z","title":"DEUP: Direct Epistemic Uncertainty Prediction","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.08501","snapshot_observed_at":"2026-08-07T13:08:19.269044Z","title":"Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:19.269044Z"},"links":{"cited_paper":"/paper/2102.08501","citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:792048a4488dd09d0abcf82228c8b58f697afe4e5aee45dc7d0430dbb0d50eb9","observation_id":"5a65b683-5503-4cb0-97e6-78c8233bc268","resolution":{"observed_at":"2026-08-07T13:08:19.269044Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:08:22.686774Z","title":"Phiseg: Capturing uncertainty in medical image segmentation","venue":null,"work_id":"349c6cf6-f24a-4b89-98d5-e95df9220bf1","year":2019},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:18.069808Z"},"links":{"citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:671e456861f384b9c2ecfb35480aa5b17defdae19ad9cd0ba47c7e1c8dca1fe6","observation_id":"552126d3-345a-4bb0-bb04-3c6ebfbee4c6","resolution":{"observed_at":"2026-08-07T13:08:22.751517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.05746","last_updated":"2024-09-09T16:01:58Z","snapshot_observed_at":"2026-08-07T12:25:37.454130Z","submitted_at":"2024-09-09T16:01:58Z","title":"LLMs Will Always Hallucinate, and We Need to Live With This","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.05746","snapshot_observed_at":"2026-08-07T13:08:17.886108Z","title":"Llms will always hallucinate, and we need to live with this","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:17.886108Z"},"links":{"cited_paper":"/paper/2409.05746","citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:e03d2fd06f2977d99d898956d4acd492491441fc82c1a8dbbafc13fced65c026","observation_id":"727a4147-c8c0-4a90-9af5-32285b8553d8","resolution":{"observed_at":"2026-08-07T13:08:17.886108Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2505.20295","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:08:20.957793Z","title":"Andreas Kirsch","venue":null,"work_id":"222e7f14-6105-4be6-a2ad-58fd10fe7daf","year":null},"citing_paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:19.026184Z"},"links":{"citing_paper":"/paper/2505.22655"},"observation_digest":"sha256:7b13b5a65d62a507ab0ae526187330f7e1457201f9d2263551c6bcec55ad2097","observation_id":"fc7b383b-978e-4201-b74e-7319ec2c25b8","resolution":{"observed_at":"2026-08-07T13:08:21.015355Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.22655","last_updated":"2025-05-28T17:59:08Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T13:00:02.112797Z","submitted_at":"2025-05-28T17:59:08Z","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents"},"reference_resolution":{"displayed":24,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":18,"verified_exact":4,"verified_fuzzy":2},"total_outbound_references":24},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 7 inbound Pith citation observations for arXiv:2505.22655."}