{"as_of":"2026-08-07T08:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:79364f61bb93c7be8b497e9a29c5ffc8c40c805b1003a540e9edc354e86bd929","coverage":[{"denominator":28,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T15:56:02.665970Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"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":[],"links":{"evidence":"/evidence","html":"/paper/2507.14649/citation-record","integrity":"/paper/2507.14649/integrity","json":"/paper/2507.14649/citation-record.json","paper":"/paper/2507.14649"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1507.03340","last_updated":"2015-07-13T07:15:06Z","snapshot_observed_at":"2026-08-04T22:56:33.246458Z","submitted_at":"2015-07-13T07:15:06Z","title":"Quantitative Evaluation of Performance and Validity Indices for Clustering the Web Navigational Sessions","version":1},"cited_work":{"arxiv_id":"1507.03340","doi":null,"metadata_source":"pith","pith_arxiv_id":"1507.03340","snapshot_observed_at":"2026-08-06T15:56:02.928288Z","title":"Quantitative Evaluation of Performance and Validity Indices for Clustering the Web Navigational Sessions","venue":"cs.LG","work_id":"46bde89b-4945-4caa-875a-bd4aad825f7e","year":2015},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.576567Z"},"links":{"cited_paper":"/paper/1507.03340","citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:273e27b3edc5ffede0fae059d1ec43dbada49c3e4acaf7dec83fbd9636554186","observation_id":"925d712c-bf3d-4cf5-b0bd-0082efa2e792","resolution":{"observed_at":"2026-08-06T15:56:02.931677Z","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":"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":"2026-08-06T15:56:02.580504Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.580504Z"},"links":{"cited_paper":"/paper/2304.13734","citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:1e99aed93d5a8af043aa4a28e81d5a5d645c1ad624a84008ba04ba6a48573e7b","observation_id":"3b0f1d61-efb2-4808-9a02-0ba0782e6b43","resolution":{"observed_at":"2026-08-06T15:56:02.580504Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03744","last_updated":"2024-10-21T04:10:50Z","snapshot_observed_at":"2026-08-03T08:07:43.115949Z","submitted_at":"2024-02-06T06:23:12Z","title":"INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03744","snapshot_observed_at":"2026-08-06T15:56:02.583917Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.583917Z"},"links":{"cited_paper":"/paper/2402.03744","citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:7fd1f6267e706dcd554d35ca38c69a2e2a18fb3e8202c130a8a6793478b3192c","observation_id":"b3a59677-83ab-4e6e-a366-e0d95f314731","resolution":{"observed_at":"2026-08-06T15:56:02.583917Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01379","last_updated":"2024-05-28T20:01:04Z","snapshot_observed_at":"2026-08-04T23:06:43.455797Z","submitted_at":"2023-07-03T22:17:16Z","title":"Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01379","snapshot_observed_at":"2026-08-06T15:56:02.587533Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.587533Z"},"links":{"cited_paper":"/paper/2307.01379","citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:bdaad2b9125444e3c7f8352f278d8f3cd9eae72944999ee76e497bcf7a45ce1c","observation_id":"0563305f-2a98-4a69-a9ba-f3a22465b3f1","resolution":{"observed_at":"2026-08-06T15:56:02.587533Z","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":"2026-08-06T15:56:02.988645Z","title":null,"venue":null,"work_id":"15f05b68-5989-4c0f-8a6c-5aeb3eded063","year":2024},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.590861Z"},"links":{"citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:19e83b1600cd3dd1f285a48a57a8ef00c37d67a00604ad04ec7764432aa8ef8d","observation_id":"61ea27c8-a668-4308-a918-4189fdd05806","resolution":{"observed_at":"2026-08-06T15:56:02.992000Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2403.02509","last_updated":"2024-03-04T21:55:22Z","snapshot_observed_at":"2026-07-06T17:39:32.800594Z","submitted_at":"2024-03-04T21:55:22Z","title":"SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.02509","snapshot_observed_at":"2026-08-06T15:56:02.594056Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.594056Z"},"links":{"cited_paper":"/paper/2403.02509","citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:dbc6cb95f4a22b7a571751df30edaffa024a81695cf6e7fee89069cb54481724","observation_id":"89cfff04-25ca-4dec-8452-2a44660c1c06","resolution":{"observed_at":"2026-08-06T15:56:02.594056Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.09543","last_updated":"2023-03-24T09:17:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-11-18T06:48:00Z","title":"DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.09543","snapshot_observed_at":"2026-08-06T15:56:02.597735Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.597735Z"},"links":{"cited_paper":"/paper/2111.09543","citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:a1e44949ace8b36f3c70177f68ed542fbbe5c483a11f4233983f85cd283be38b","observation_id":"dda6f16f-f964-4523-ac32-88d7c1feea02","resolution":{"observed_at":"2026-08-06T15:56:02.597735Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.03654","last_updated":"2021-10-06T21:02:00Z","snapshot_observed_at":"2026-07-06T09:26:29.068023Z","submitted_at":"2020-06-05T19:54:34Z","title":"DeBERTa: Decoding-enhanced BERT with Disentangled Attention","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.03654","snapshot_observed_at":"2026-08-06T15:56:02.600887Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.600887Z"},"links":{"cited_paper":"/paper/2006.03654","citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:16e7d3b6c3c7388783d7553c8aaf5959f1f18d49e828dd30f907829a8d57c045","observation_id":"0b2567c3-a05e-4e1d-a3c6-fcc36739036a","resolution":{"observed_at":"2026-08-06T15:56:02.600887Z","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":"2026-08-06T15:56:02.604212Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.604212Z"},"links":{"citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:7668e0e74536c8b8938412f9238e768051de3e5816f4d949f9121882bd4fcab0","observation_id":"f27aff8b-1402-42d2-9c4c-b2f5abe76684","resolution":{"observed_at":"2026-08-06T15:56:02.604212Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.03282","last_updated":"2024-09-29T13:05:16Z","snapshot_observed_at":"2026-08-06T11:30:09.308345Z","submitted_at":"2024-07-03T17:08:52Z","title":"LLM Internal States Reveal Hallucination Risk Faced With a Query","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.03282","snapshot_observed_at":"2026-08-06T15:56:02.607399Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.607399Z"},"links":{"cited_paper":"/paper/2407.03282","citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:1cb33aba2ff77d387007f107f15c366a8b0458e54515111def506721922645af","observation_id":"e7bd7f70-b40f-4937-953d-28a6aced3ad7","resolution":{"observed_at":"2026-08-06T15:56:02.607399Z","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":"2026-08-06T15:56:02.611155Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.611155Z"},"links":{"citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:e2b36b469a62eaa9ed179e7aa28194aa340c7ee8c7b55c18e492bf62e14a66c1","observation_id":"13ae79d0-7ceb-4649-833a-3463b2982727","resolution":{"observed_at":"2026-08-06T15:56:02.611155Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06825","last_updated":"2023-10-10T17:54:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-10T17:54:58Z","title":"Mistral 7B","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06825","snapshot_observed_at":"2026-08-06T15:56:02.614435Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.614435Z"},"links":{"cited_paper":"/paper/2310.06825","citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:0fbedf7636f5fdfcf0c379b36724027979e52f9d20885182a085e89a7fd945c3","observation_id":"5cf0bbb3-a708-493c-8178-57c306be7f39","resolution":{"observed_at":"2026-08-06T15:56:02.614435Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09664","last_updated":"2023-04-15T12:55:45Z","snapshot_observed_at":"2026-07-06T14:53:27.667483Z","submitted_at":"2023-02-19T20:10:07Z","title":"Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.09664","snapshot_observed_at":"2026-08-06T15:56:02.617622Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.617622Z"},"links":{"cited_paper":"/paper/2302.09664","citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:9eb37e7f0e31ccf6201012cc4ce00c91f17c3cb4aba3078fad002f3973926312","observation_id":"20159a0a-12e5-473a-95b6-6ae9a43c4904","resolution":{"observed_at":"2026-08-06T15:56:02.617622Z","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":"2026-08-06T15:56:02.620861Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.620861Z"},"links":{"citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:756644d1ff4882e269271fac142e844098e6b4bb96e6ec5ce4664ce8b10894d5","observation_id":"35dcc004-076e-410d-831a-9717054d8925","resolution":{"observed_at":"2026-08-06T15:56:02.620861Z","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":"2026-08-06T15:56:02.624089Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.624089Z"},"links":{"cited_paper":"/paper/2205.14334","citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:d481183fe6499509cf15be163489ee17f4c89e9340c47c7052db5f2e095a6305","observation_id":"bdfb0261-15fa-4276-b2cb-0753d405beb4","resolution":{"observed_at":"2026-08-06T15:56:02.624089Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.19187","last_updated":"2024-05-20T01:53:36Z","snapshot_observed_at":"2026-07-06T15:35:30.017377Z","submitted_at":"2023-05-30T16:31:26Z","title":"Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.19187","snapshot_observed_at":"2026-08-06T15:56:02.627517Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.627517Z"},"links":{"cited_paper":"/paper/2305.19187","citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:3fc7e5cca228d2f4d4183656a845cd834e304771884a4ce8a6ad834d004cc06b","observation_id":"3e3baec3-cd11-4192-840a-0596fa565c42","resolution":{"observed_at":"2026-08-06T15:56:02.627517Z","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":"2026-08-06T15:56:02.960047Z","title":null,"venue":null,"work_id":"f4527e20-f910-427d-9959-866e5fac0217","year":2022},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.630765Z"},"links":{"citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:c65c3af5e706a88a14dfc581cebbd3115940eac151506891fd523db02c948728","observation_id":"b77ccaae-31bb-4f98-8807-9bfa4ecfab90","resolution":{"observed_at":"2026-08-06T15:56:02.963447Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"1907.11692","last_updated":"2019-07-26T17:48:29Z","snapshot_observed_at":"2026-07-31T22:31:37.910868Z","submitted_at":"2019-07-26T17:48:29Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.11692","snapshot_observed_at":"2026-08-06T15:56:02.633728Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.633728Z"},"links":{"cited_paper":"/paper/1907.11692","citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:f5cd02bb6f4bee2cc8b0c166123d2e7ed6fbd2a481e7747e9e830e3507626188","observation_id":"7f51bbdd-6433-4216-885f-1976baa9977d","resolution":{"observed_at":"2026-08-06T15:56:02.633728Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.07650","last_updated":"2021-02-11T09:42:35Z","snapshot_observed_at":"2026-08-03T18:01:42.203617Z","submitted_at":"2020-02-18T15:40:13Z","title":"Uncertainty Estimation in Autoregressive Structured Prediction","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.07650","snapshot_observed_at":"2026-08-06T15:56:02.637047Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.637047Z"},"links":{"cited_paper":"/paper/2002.07650","citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:104695fde7ef6c2e3fe1e288e12269ff9b53a0205b5c20631f4f53a32afa2518","observation_id":"02037375-9da5-44bf-9be6-9057257fd9c6","resolution":{"observed_at":"2026-08-06T15:56:02.637047Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.01152","last_updated":"2023-11-02T11:27:21Z","snapshot_observed_at":"2026-08-04T23:21:57.685252Z","submitted_at":"2023-11-02T11:27:21Z","title":"Predicting Question-Answering Performance of Large Language Models through Semantic Consistency","version":1},"cited_work":{"arxiv_id":"2311.01152","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.01152","snapshot_observed_at":"2026-08-06T15:56:02.762414Z","title":"Predicting Question-Answering Performance of Large Language Models through Semantic Consistency","venue":"cs.CL","work_id":"cf7d274b-ecfc-4d2f-906e-023637118326","year":2023},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.640215Z"},"links":{"cited_paper":"/paper/2311.01152","citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:8e1abe4a8234b106205c973fb748674a87b9dd5c377835846a26d2dcd5edfb9d","observation_id":"293a1c21-60a7-4fb4-b5a1-0e176c609ef1","resolution":{"observed_at":"2026-08-06T15:56:02.768204Z","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":"1606.05250","last_updated":"2016-10-11T02:42:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2016-06-16T16:36:00Z","title":"SQuAD: 100,000+ Questions for Machine Comprehension of Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.05250","snapshot_observed_at":"2026-08-06T15:56:02.643361Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.643361Z"},"links":{"cited_paper":"/paper/1606.05250","citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:eda133241a4656e7f3cc9b0614e3dc6e563c2beb7750108866ec4687ae9a79bd","observation_id":"ae7374bc-adb2-4ccb-84ed-77ee8afd36be","resolution":{"observed_at":"2026-08-06T15:56:02.643361Z","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":"2026-08-06T15:56:02.950468Z","title":null,"venue":null,"work_id":"f89f81c2-a350-4eb3-ad61-a701b28ad56e","year":2019},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.646624Z"},"links":{"citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:6f17ff206671f621336b5d677b012fdc19f52b6c16b8d630301f344923c1c0f0","observation_id":"56bbecf4-1fce-4f23-852d-b0d797bb7091","resolution":{"observed_at":"2026-08-06T15:56:02.953686Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2209.15558","last_updated":"2023-03-07T22:05:28Z","snapshot_observed_at":"2026-08-04T17:12:45.959371Z","submitted_at":"2022-09-30T16:17:11Z","title":"Out-of-Distribution Detection and Selective Generation for Conditional Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.15558","snapshot_observed_at":"2026-08-06T15:56:02.649702Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.649702Z"},"links":{"cited_paper":"/paper/2209.15558","citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:7e21f0e57e569bcd622c5796be22de7d7a84a6a5ab0c114e78d53bd9e9d94b11","observation_id":"f2405973-fc84-4e2d-bb6b-e1922e7df2a5","resolution":{"observed_at":"2026-08-06T15:56:02.649702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-06T15:56:02.652773Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.652773Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:749b899e7271f710f17d2dfeaf43eafea111ecd5b107a1d5a96fee975dc80934","observation_id":"f376ca78-5532-4176-8bea-d239745ba639","resolution":{"observed_at":"2026-08-06T15:56:02.652773Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-02T11:57:18.735747Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-06T15:56:02.655819Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.655819Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:43555aabc2b2ac6a0120f6d8cb23669ce17c7814695a4fa92de5ab00e61ac017","observation_id":"b309e07a-144d-4eb6-80de-d9a4f0b61312","resolution":{"observed_at":"2026-08-06T15:56:02.655819Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.01219","last_updated":"2025-09-14T09:34:46Z","snapshot_observed_at":"2026-07-06T16:13:46.112815Z","submitted_at":"2023-09-03T16:56:48Z","title":"Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.01219","snapshot_observed_at":"2026-08-06T15:56:02.658844Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.658844Z"},"links":{"cited_paper":"/paper/2309.01219","citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:2ed9b0690579b25acc2a3d5cb768b6cafe464e4560b7e20c5159057783c7e1c7","observation_id":"18b53a0e-5c9a-481c-9d08-9313650d879a","resolution":{"observed_at":"2026-08-06T15:56:02.658844Z","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":"2026-08-06T15:56:02.662363Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.662363Z"},"links":{"citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:edd3756f04b1af7aca0e774db9295a600392e88643de3233cbe656fab8f2eb11","observation_id":"6b68fc70-3eeb-4d22-b8c0-4767d867290c","resolution":{"observed_at":"2026-08-06T15:56:02.662363Z","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":"2026-08-06T15:56:02.665970Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T15:56:02.665970Z"},"links":{"citing_paper":"/paper/2507.14649"},"observation_digest":"sha256:59e1612015e64f225f60e3ceb0cffaa7c7da9d90e6deaac221b90c553c261396","observation_id":"5622e0e3-003d-4a79-8e0e-99a1ba83ff00","resolution":{"observed_at":"2026-08-06T15:56:02.665970Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.14649","last_updated":"2025-07-19T14:48:24Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-06T18:46:16.749365Z","submitted_at":"2025-07-19T14:48:24Z","title":"Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs"},"reference_resolution":{"displayed":28,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":26,"verified_exact":2,"verified_fuzzy":0},"total_outbound_references":28},"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 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2507.14649."}