{"as_of":"2026-08-07T22:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c7b74373356b4f63006d920784fc16b6a5a4cef2320e0b1595e70e62e71426c3","coverage":[{"denominator":12,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T12:55:58.331495Z","state":"measured"},{"denominator":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T19:46:58.674275Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.21406","last_updated":"2025-07-29T00:26:33Z","snapshot_observed_at":"2026-08-06T12:55:56.526336Z","submitted_at":"2025-07-29T00:26:33Z","title":"Shapley Uncertainty in Natural Language Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.21406","snapshot_observed_at":"2026-08-01T19:46:58.674275Z","title":"Shapley uncertainty in natural language genera- tion, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16868","last_updated":"2026-08-05T14:55:52Z","snapshot_observed_at":"2026-08-07T21:19:08.192666Z","submitted_at":"2026-07-18T16:14:08Z","title":"Beyond Semantic Equivalence: Logical Graphs for LLM Uncertainty Quantification","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T19:46:58.674275Z"},"links":{"cited_paper":"/paper/2507.21406","citing_paper":"/paper/2607.16868"},"observation_digest":"sha256:4e0a2c178724b14dc053daddd7107d7edf00e4eb7a9b33a6401bb3f1d0a6d3fe","observation_id":"c1260ad4-8000-469e-9029-09e110e06cce","resolution":{"observed_at":"2026-08-01T19:46:58.674275Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2507.21406/citation-record","integrity":"/paper/2507.21406/integrity","json":"/paper/2507.21406/citation-record.json","paper":"/paper/2507.21406"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.18404","last_updated":"2023-07-08T02:20:29Z","snapshot_observed_at":"2026-07-06T15:34:59.457879Z","submitted_at":"2023-05-28T15:26:10Z","title":"Conformal Prediction with Large Language Models for Multi-Choice Question Answering","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.18404","snapshot_observed_at":"2026-08-06T12:55:57.252263Z","title":"arXiv preprint arXiv:2305.18404","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.21406","last_updated":"2025-07-29T00:26:33Z","snapshot_observed_at":"2026-08-06T12:55:56.526336Z","submitted_at":"2025-07-29T00:26:33Z","title":"Shapley Uncertainty in Natural Language Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T12:55:57.252263Z"},"links":{"cited_paper":"/paper/2305.18404","citing_paper":"/paper/2507.21406"},"observation_digest":"sha256:d3482158cb3404304cf58e84a18cb5ba135a9c605956b7e284b68299b6967e67","observation_id":"f83ed041-8f4c-4561-929b-9ba206e30c06","resolution":{"observed_at":"2026-08-06T12:55:57.252263Z","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":"2026-08-06T12:55:58.679777Z","title":"In Proceedings of the 57th Annual Meeting of the Association for Computa- tional Linguistics, pages 6086–6096, Florence, Italy","venue":null,"work_id":"2f8faf8f-d183-4827-9bcc-88f83b75b9da","year":2004},"citing_paper":{"arxiv_id":"2507.21406","last_updated":"2025-07-29T00:26:33Z","snapshot_observed_at":"2026-08-06T12:55:56.526336Z","submitted_at":"2025-07-29T00:26:33Z","title":"Shapley Uncertainty in Natural Language Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T12:55:57.330045Z"},"links":{"citing_paper":"/paper/2507.21406"},"observation_digest":"sha256:70482fef32357e600bdbc6001d421b84797ddada3f4a7a7803cfe16275184819","observation_id":"c4548c2b-4c98-4ef3-b291-8a0810413240","resolution":{"observed_at":"2026-08-06T12:55:58.768734Z","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":"2303.08896","last_updated":"2023-10-11T17:43:28Z","snapshot_observed_at":"2026-07-06T15:03:55.982628Z","submitted_at":"2023-03-15T19:31:21Z","title":"SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08896","snapshot_observed_at":"2026-08-06T12:55:57.561748Z","title":"arXiv preprint arXiv:2303.08896","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21406","last_updated":"2025-07-29T00:26:33Z","snapshot_observed_at":"2026-08-06T12:55:56.526336Z","submitted_at":"2025-07-29T00:26:33Z","title":"Shapley Uncertainty in Natural Language Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T12:55:57.561748Z"},"links":{"cited_paper":"/paper/2303.08896","citing_paper":"/paper/2507.21406"},"observation_digest":"sha256:2836cb36f2b0ad86f4ff40527eeb703d6360a322c002617fe50e709df97f9671","observation_id":"4c1109f3-965f-40b0-97f9-5abc49f20fe2","resolution":{"observed_at":"2026-08-06T12:55:57.561748Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.10193","last_updated":"2024-06-01T21:40:33Z","snapshot_observed_at":"2026-08-02T21:19:34.102471Z","submitted_at":"2023-06-16T21:55:08Z","title":"Conformal Language Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.10193","snapshot_observed_at":"2026-08-06T12:55:57.824380Z","title":"arXiv preprint arXiv:2306.10193","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.21406","last_updated":"2025-07-29T00:26:33Z","snapshot_observed_at":"2026-08-06T12:55:56.526336Z","submitted_at":"2025-07-29T00:26:33Z","title":"Shapley Uncertainty in Natural Language Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T12:55:57.824380Z"},"links":{"cited_paper":"/paper/2306.10193","citing_paper":"/paper/2507.21406"},"observation_digest":"sha256:35f57dc75e7e9d8d2e5c58c6aa978cdeddd7e74b42f4e3b066d2212aa9b1b14f","observation_id":"f71c5ceb-f192-4e72-9e21-84fafdc48b91","resolution":{"observed_at":"2026-08-06T12:55:57.824380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.12507","last_updated":"2022-10-24T00:57:49Z","snapshot_observed_at":"2026-07-06T13:13:40.650733Z","submitted_at":"2022-05-25T05:49:56Z","title":"Re-Examining Calibration: The Case of Question Answering","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.12507","snapshot_observed_at":"2026-08-06T12:55:57.946586Z","title":"Transactions of the Association for Com- putational Linguistics, 7:249–266","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.21406","last_updated":"2025-07-29T00:26:33Z","snapshot_observed_at":"2026-08-06T12:55:56.526336Z","submitted_at":"2025-07-29T00:26:33Z","title":"Shapley Uncertainty in Natural Language Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T12:55:57.946586Z"},"links":{"cited_paper":"/paper/2205.12507","citing_paper":"/paper/2507.21406"},"observation_digest":"sha256:e6e123861399aba4c26a635b86c7f216b7f28c348fb8814ad8e807630202b1b3","observation_id":"d9b0ec51-1502-4a18-bc82-6f336da135e3","resolution":{"observed_at":"2026-08-06T12:55:57.946586Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.15576","last_updated":"2023-12-25T01:17:01Z","snapshot_observed_at":"2026-08-04T07:50:46.641029Z","submitted_at":"2023-12-25T01:17:01Z","title":"Reducing LLM Hallucinations using Epistemic Neural Networks","version":1},"cited_work":{"arxiv_id":"2312.15576","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.15576","snapshot_observed_at":"2026-08-06T12:55:58.461564Z","title":"Reducing LLM Hallucinations using Epistemic Neural Networks","venue":"cs.CL","work_id":"54097342-c326-4c1f-abcf-1ca5c6957d73","year":2023},"citing_paper":{"arxiv_id":"2507.21406","last_updated":"2025-07-29T00:26:33Z","snapshot_observed_at":"2026-08-06T12:55:56.526336Z","submitted_at":"2025-07-29T00:26:33Z","title":"Shapley Uncertainty in Natural Language Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T12:55:58.091841Z"},"links":{"cited_paper":"/paper/2312.15576","citing_paper":"/paper/2507.21406"},"observation_digest":"sha256:7645f114d6028600983478a1d78d060c42832ca08d5e9979ee5acb7e47eaf95a","observation_id":"6a24887f-8331-471a-afbc-3f91a4d09adc","resolution":{"observed_at":"2026-08-06T12:55:58.510301Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2401.11817","last_updated":"2025-02-13T08:11:25Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-01-22T10:26:14Z","title":"Hallucination is Inevitable: An Innate Limitation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.11817","snapshot_observed_at":"2026-08-06T12:55:58.215337Z","title":"arXiv preprint arXiv:2401.11817","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.21406","last_updated":"2025-07-29T00:26:33Z","snapshot_observed_at":"2026-08-06T12:55:56.526336Z","submitted_at":"2025-07-29T00:26:33Z","title":"Shapley Uncertainty in Natural Language Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T12:55:58.215337Z"},"links":{"cited_paper":"/paper/2401.11817","citing_paper":"/paper/2507.21406"},"observation_digest":"sha256:65b8b444ca592fffc0415d6ddabc24a18488a21f0093214991ab73a33bd4c484","observation_id":"1ce528fa-cda8-4ad3-9b89-3cc3e1110a11","resolution":{"observed_at":"2026-08-06T12:55:58.215337Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.10481","last_updated":"2019-12-22T17:17:14Z","snapshot_observed_at":"2026-08-01T22:00:05.999371Z","submitted_at":"2019-12-22T17:17:14Z","title":"A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.10481","snapshot_observed_at":"2026-08-06T12:55:57.218976Z","title":"Preprint at https://arxiv","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2507.21406","last_updated":"2025-07-29T00:26:33Z","snapshot_observed_at":"2026-08-06T12:55:56.526336Z","submitted_at":"2025-07-29T00:26:33Z","title":"Shapley Uncertainty in Natural Language Generation","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-06T12:55:57.218976Z"},"links":{"cited_paper":"/paper/1912.10481","citing_paper":"/paper/2507.21406"},"observation_digest":"sha256:a95af80fe810cb27d9b5e1a2eeacabedaae62dc856890bc5aefe2a6579fd5cac","observation_id":"2747ed63-94ab-4279-9319-b9dc3475b8fe","resolution":{"observed_at":"2026-08-06T12:55:57.218976Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.13213","last_updated":"2025-08-07T01:33:12Z","snapshot_observed_at":"2026-08-03T14:34:50.040904Z","submitted_at":"2024-02-20T18:24:47Z","title":"Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13213","snapshot_observed_at":"2026-08-06T12:55:57.711866Z","title":"Association for Computational Linguistics","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.21406","last_updated":"2025-07-29T00:26:33Z","snapshot_observed_at":"2026-08-06T12:55:56.526336Z","submitted_at":"2025-07-29T00:26:33Z","title":"Shapley Uncertainty in Natural Language Generation","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-06T12:55:57.711866Z"},"links":{"cited_paper":"/paper/2402.13213","citing_paper":"/paper/2507.21406"},"observation_digest":"sha256:619a81a9151f74652d1dff467ba32ece0bb35c7a580e8cc9c54adc72d5ae7f67","observation_id":"48e9aed8-a786-4985-8e97-ca104f4f2d9b","resolution":{"observed_at":"2026-08-06T12:55:57.711866Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.13734","last_updated":"2023-10-17T09:34:30Z","snapshot_observed_at":"2026-08-01T19:59:13.992395Z","submitted_at":"2023-04-26T02:49:38Z","title":"The Internal State of an LLM Knows When It's Lying","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.13734","snapshot_observed_at":"2026-08-06T12:55:57.110683Z","title":"Amos Azaria and Tom Mitchell","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.21406","last_updated":"2025-07-29T00:26:33Z","snapshot_observed_at":"2026-08-06T12:55:56.526336Z","submitted_at":"2025-07-29T00:26:33Z","title":"Shapley Uncertainty in Natural Language Generation","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T12:55:57.110683Z"},"links":{"cited_paper":"/paper/2304.13734","citing_paper":"/paper/2507.21406"},"observation_digest":"sha256:6d14df4de2756e9abb319c8700fd9b31d72ac9a673f7ea8df0445e1d32f826ea","observation_id":"2738e953-70c7-4e75-adba-7a2da29cce94","resolution":{"observed_at":"2026-08-06T12:55:57.110683Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.15993","last_updated":"2024-10-23T08:33:54Z","snapshot_observed_at":"2026-07-06T18:05:03.284784Z","submitted_at":"2024-04-24T17:10:35Z","title":"Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.15993","snapshot_observed_at":"2026-08-06T12:55:57.454216Z","title":"arXiv preprint arXiv:2404.15993","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.21406","last_updated":"2025-07-29T00:26:33Z","snapshot_observed_at":"2026-08-06T12:55:56.526336Z","submitted_at":"2025-07-29T00:26:33Z","title":"Shapley Uncertainty in Natural Language Generation","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T12:55:57.454216Z"},"links":{"cited_paper":"/paper/2404.15993","citing_paper":"/paper/2507.21406"},"observation_digest":"sha256:79c7dbc4f13ec2c71546dd7c1e5d400c6ee5ea8bcbb4be2eb4efbee11e3b45a0","observation_id":"aca7c2a6-718a-4689-81ed-a4333f22ffbc","resolution":{"observed_at":"2026-08-06T12:55:57.454216Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15383","last_updated":"2025-01-26T03:47:25Z","snapshot_observed_at":"2026-07-31T01:49:29.562668Z","submitted_at":"2025-01-26T03:47:25Z","title":"Qwen2.5-1M Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.15383","snapshot_observed_at":"2026-08-06T12:55:58.331495Z","title":"arXiv preprint arXiv:2501.15383","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.21406","last_updated":"2025-07-29T00:26:33Z","snapshot_observed_at":"2026-08-06T12:55:56.526336Z","submitted_at":"2025-07-29T00:26:33Z","title":"Shapley Uncertainty in Natural Language Generation","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-06T12:55:58.331495Z"},"links":{"cited_paper":"/paper/2501.15383","citing_paper":"/paper/2507.21406"},"observation_digest":"sha256:fbe6ac116151c78ce5dadfa5933286abcec38f6401359b646971f4820be54f5b","observation_id":"31aeb051-80ed-42d9-b2cd-c9f9c9a4a1e7","resolution":{"observed_at":"2026-08-06T12:55:58.331495Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.21406","last_updated":"2025-07-29T00:26:33Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-06T12:55:56.526336Z","submitted_at":"2025-07-29T00:26:33Z","title":"Shapley Uncertainty in Natural Language Generation"},"reference_resolution":{"displayed":12,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":10,"verified_exact":0,"verified_fuzzy":1},"total_outbound_references":12},"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 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2507.21406."}