Pith. sign in

Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 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 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:25:22.356839Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T00:52:02.421389Z digest=sha256:e912b2aa89e9f5d43810b454e2fb03e5b9f72f03860a9ad412d774c5bee569bb

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

Resolution
verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-23T22:12:30.050438Z digest=sha256:b574e4dbd7e566df1010287d12e979f025388244d43b51ea77a42c2d63e90d0e

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:edfdb7b4161f9b411124765f57466c75c2782674e4b5f71f98932abb78003559

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=sha256:8c2ebc9e15c0b5ed25664795d4f76797f800acae4aa297d205f2eb958a377b0c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T12:43:51.019983Z digest=sha256:9ad0f937b7c2238b335e0ca0765c1b5207a815e4b8d148d67407b88d6cbdc12e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:34:03.629213Z digest=sha256:5c524262d9c0044c4511a1e099c232b8a5f0cde2ae26f55d8a2979d81d279b6c

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
unresolved
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=sha256:3a75ce558b3606741a90971fd5cea8c5565d5426d71264de1f2c87431e8c90c6

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

Resolution
unresolved
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:a0144e5a993ec64d45517dbc9690845a5c75369f0db1c445fca370b7b827e484

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:25.328625Z digest=sha256:5f08c5075d0c6c29341e0d36e44bdc7fd91830ae454592e3015fb9cb8272b0bc

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:de7719c5dec4cb59740355cb6650e828e57504a44f7e638a738cdf64244c7b27

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
unresolved
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=sha256:32ebac8b8ed77104dd22fc9498351aac04a6e66c0106cbd7f656088da21fa2f0

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

Resolution
unresolved
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=sha256:7aed2cad59d3ce3de638fc225c799fa43ff62f5e3bc5a0f76543df6c6ea2ddbb

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

Resolution
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:d162bb297760dd979efd0a3f277e1d774ddb6073db67e8e8c175354dd1ddaf7b

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:36:21.582030Z digest=sha256:947ded34da02a8189cad6f88895c2566ce274ed50928199816443bcc6515f5c6

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:18:02.896356Z digest=sha256:09d66ec1faf9ce2a0e50a935d9104bf572255ab41917b6fb1b791743d1819070

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T17:51:53.511503Z digest=sha256:d75fe55dec54bb5732028f9c898a39317efdde2f21d0ba037147c37cbcf215bd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T23:47:33.632049Z digest=sha256:d000caaaf118b360658dd32e8f218eeae90433db526a451e6e754397e6acb704

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T12:59:57.639608Z digest=sha256:20b9f4e10df8341ce88a7a13f6658b1bf45f830bf896a17e9482e2c4651bbe2d

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:49:58.051659Z digest=sha256:c612c61b3a18595db27a5dd27eb86ae891c926eb6c321951f3f483ff02df34cd

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

Resolution
verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T09:57:46.960346Z digest=sha256:b5c01ad14957f47f0ed485c08ccc9a595d7628d6e8d8c6bec09e3fd86a602cd7