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Paper Citation Record · LEDGER

Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2307.01379.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2307.01379 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:03:01.099092Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

10
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dd16b2f1-2126-47f9-b12c-6d53a99b858f · inbound

Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs cites this paper.

Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 16

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verified exact
arxiv_id, observed 2026-05-18T00:52:02.501887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T00:52:02.421389Z digest=sha256:74bc72a5a2072160b76fce468a9469555d43dde61b983d3067c5dd7558c11223

Observation 6d50325f-f885-45b8-935b-f1d4a89fa3e9 · inbound

Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models cites this paper.

Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 9

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arxiv_id, observed 2026-05-23T22:13:30.086769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-23T22:12:30.050438Z digest=sha256:8c750a8b892dc09bc6df49821a8affc3ae25eb40db8c0b85b540b5a422dd849c

Observation 734abc0c-ba19-40c0-b1bc-c03349f051dc · inbound

Label-Confidence-Aware Uncertainty Estimation in Natural Language Generation cites this paper.

Label-Confidence-Aware Uncertainty Estimation in Natural Language Generation Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 5

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no resolver link, observed 2026-08-11T19:03:01.099092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:03:01.099092Z digest=sha256:92e975ea2501e2185d86434cb908a08997be6ca7212d9ffbd822542837b5a729

Observation eab0e904-d556-418a-b566-2bda9e1da835 · inbound

Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home cites this paper.

Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T16:49:52.133915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:49:52.133915Z digest=sha256:acf8ef8474e2382b823f430124e0af553ca2a7751f15c6d528c9b2217b685aa6

Observation 3f9b369e-8893-41ff-94eb-9e1eaac0c464 · inbound

Towards Harmonized Uncertainty Estimation for Large Language Models cites this paper.

Towards Harmonized Uncertainty Estimation for Large Language Models Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:25:22.356839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:25:22.356839Z digest=sha256:0e7c721ebe85635ee8cf6853223ba555d572ab1bb303ec4f049864e4e6db82c3

Observation 62779d67-bb7b-47c7-90bc-2309a2ae4625 · inbound

Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA cites this paper.

Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T13:44:24.062858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:44:24.062858Z digest=sha256:e01e94210d7cced875678151421e9acbd89708e7d5621a3c3c6c18af84b7cdaf

Observation 540fb786-875d-4a38-9e86-13a7ac9aa051 · inbound

LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generations cites this paper.

LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generations Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-19T12:47:17.951004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 2f589a91-c513-4b48-b467-3bc98b99304c · inbound

HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs cites this paper.

HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 13

Resolution
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no resolver link, observed 2026-08-07T12:34:03.629213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 78c7e96b-304c-4585-ac32-2a6ed692f78a · inbound

Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity cites this paper.

Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 5

Resolution
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no resolver link, observed 2026-08-07T12:14:01.123599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:14:01.123599Z digest=sha256:9259ff96c3448fc1cca48d29dc2fb9d3a4e99a6647564713f9fccc64f2fc304e

Observation 9b3ae1cf-8541-465a-8408-2bedc6680d2a · inbound

ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation cites this paper.

ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 32

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no resolver link, observed 2026-08-07T11:56:45.062385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:45.062385Z digest=sha256:147349917c8fb8912a016c07e076c6abbf04d92e31a1f056184ef1567bc24bf4

Observation 71725e05-6d86-4712-b327-e41ce82ffb4c · inbound

From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered cites this paper.

From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 6

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no resolver link, observed 2026-08-07T05:38:25.328625Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:25.328625Z digest=sha256:0dddc58fc974da0c587ea2ffd4becd2b5ecbeb73ce3699218ab90de5f0e205bd

Observation 452edcf4-1187-45ff-855c-e0df48949e59 · inbound

Maximally-Informative Retrieval for State Space Model Generation cites this paper.

Maximally-Informative Retrieval for State Space Model Generation Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T01:03:44.904193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:03:44.904193Z digest=sha256:de4f577ab15c9476e62725d8a27c87ded69d3057ae294600e319cd8223af97a1

Observation 9c66f828-54b4-4c5a-a14c-57f87c4b893b · inbound

SGIC: A Self-Guided Iterative Calibration Framework for RAG cites this paper.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 11

Resolution
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no resolver link, observed 2026-08-06T23:52:42.029563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:42.029563Z digest=sha256:59eb52e9e97d45290f85cbff9315860e6f77113ec409d6028acffd0f5ffbc7d9

Observation d4d19356-b096-4950-aaf1-8071567a1dc9 · inbound

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features cites this paper.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 6

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no resolver link, observed 2026-08-06T20:02:02.628481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:02:02.628481Z digest=sha256:d97f129f94973614277b1c1b59bcba0c41bc26c4c1c142d0a086ed3f309351f2

Observation 0563305f-2a98-4a69-a9ba-f3a22465b3f1 · inbound

Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs cites this paper.

Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 4

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unresolved
no resolver link, observed 2026-08-06T15:56:02.587533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:56:02.587533Z digest=sha256:afe77790c8f7c97f91c3eff2aa952c824da46b7fdce2c86fea5e30b7e7ee7cfb

Observation 4d549d17-df36-46a1-b89b-54101a1fe5cd · inbound

Confidence Estimation for Text-to-SQL in Large Language Models cites this paper.

Confidence Estimation for Text-to-SQL in Large Language Models Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 10

Resolution
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no resolver link, observed 2026-08-05T22:36:21.582030Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:36:21.582030Z digest=sha256:a21e1c20c84e2492080937b1b1777d9641369b6cf6589f98a85326ecd1eb4df7

Observation 4d49d178-842a-48ca-a33d-fe9448477e12 · inbound

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection cites this paper.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T10:18:02.896356Z

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Unavailable: canonical work link unavailable.

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Observation a5acd9ca-513b-497d-8a3e-0bbea4845c15 · inbound

LLMs Uncertainty Quantification via Adaptive Conformal Semantic Entropy cites this paper.

LLMs Uncertainty Quantification via Adaptive Conformal Semantic Entropy Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:11:09.104903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T17:51:53.511503Z digest=sha256:cbe83ccde8a9c1d238762c6b72951f7902a21f11cc53fd1aa716e933af2b07b6

Observation 935b364f-5a13-4964-b3bc-8fe389592c2f · inbound

LLMs Uncertainty Quantification via Adaptive Conformal Semantic Entropy cites this paper.

LLMs Uncertainty Quantification via Adaptive Conformal Semantic Entropy Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:15:46.015968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T23:47:33.632049Z digest=sha256:c08455baceba5d80db758067c1d3da83868ae535ffcd8610a74ad32a511c0486

Observation 199f5dc7-7fbc-4164-bec0-2e1859f0e593 · inbound

Proper Scoring Rules for Agentic Uncertainty Quantification cites this paper.

Proper Scoring Rules for Agentic Uncertainty Quantification Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:04:40.119152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T12:59:57.639608Z digest=sha256:a645256aee84f691a0ebb13922839b131822a298ab6ea8a324bb2e04749805b0

Observation ddc440b2-d25d-4a5a-a7c6-aa842b0b0088 · inbound

Boosting Self-Consistency with Ranking cites this paper.

Boosting Self-Consistency with Ranking Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 197

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metadata mismatch
arxiv_id, observed 2026-06-28T06:51:44.330953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T06:49:58.051659Z digest=sha256:5944ca9259f18b086194ff6fd9de73b5edfe0c903241705be71748a16c7b2966

Observation 47634adb-789f-4248-bf71-4a9fb18c4e70 · inbound

Strategic Decision Support for AI Agents cites this paper.

Strategic Decision Support for AI Agents Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 21

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arxiv_id, observed 2026-07-03T10:37:56.481940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T09:57:46.960346Z digest=sha256:da18762bb9f7f5aa3485f4c3084ee8d3b26a031afc12213339053db7ea86a99d

Observation 6779355f-5352-4479-bf75-88c0e27be633 · inbound

Consilience for Verifier-Free Test-Time Scaling cites this paper.

Consilience for Verifier-Free Test-Time Scaling Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 8

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no resolver link, observed 2026-08-11T04:48:30.546285Z

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Unavailable: canonical work link unavailable.

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