Paper Citation Record · LEDGER

Confidence Calibration in Large Language Models

As of 9 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2605.23909.

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

pith.paper-citation-record.v1
2605.23909 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T13:23:25.998584Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:46:02.023365Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

26 of 26 outbound references displayed

verified exact0
verified fuzzy0
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 3bb1368b-8637-42bd-8fea-4bd2c46109f8 · outbound

This paper cites A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges.

Confidence Calibration in Large Language Models A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f17d7937-dc3a-4ff7-acbc-1a3d5286361f · outbound

This paper cites Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, and Kristina Toutanova.

Confidence Calibration in Large Language Models Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, and Kristina Toutanova

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed143514-84d3-438f-9bbe-90b5e7a1ef07 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

Confidence Calibration in Large Language Models BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a1ef2c0-ac61-409b-a64e-69803af5b3c1 · outbound

This paper cites Do LLMs Implicitly Determine the Suitable Text Difficulty for Users?.

Confidence Calibration in Large Language Models Do LLMs Implicitly Determine the Suitable Text Difficulty for Users?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e07311e7-fc2b-46db-b7b9-d8fe1c409e19 · outbound

This paper cites On Calibration of Modern Neural Networks.

Confidence Calibration in Large Language Models On Calibration of Modern Neural Networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc9285a3-efde-4c96-b9c2-73009a49c621 · outbound

This paper cites InProceedings of the 56th ACM Technical Symposium on Computer Science Education V.

Confidence Calibration in Large Language Models InProceedings of the 56th ACM Technical Symposium on Computer Science Education V

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bad2fab0-8ad3-4381-b40a-30cfbb823d6d · outbound

This paper cites Can LLMs Estimate Cognitive Complexity of Reading Comprehension Items?.

Confidence Calibration in Large Language Models Can LLMs Estimate Cognitive Complexity of Reading Comprehension Items?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cf8fc05-6147-4117-842d-0113394201a8 · outbound

This paper cites Language Models (Mostly) Know What They Know.

Confidence Calibration in Large Language Models Language Models (Mostly) Know What They Know

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39db4301-d476-4c17-9ad8-11ad53e2a37c · outbound

This paper cites Why Language Models Hallucinate.

Confidence Calibration in Large Language Models Why Language Models Hallucinate

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c77dc202-54d1-4fe5-b38e-618c19b8e9aa · outbound

This paper cites Taming Overconfidence in LLMs: Reward Calibration in RLHF.

Confidence Calibration in Large Language Models Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaed1cd9-d46e-486d-a891-31a5b4da21b8 · outbound

This paper cites Sarah Lichtenstein and Baruch Fischhoff.

Confidence Calibration in Large Language Models Sarah Lichtenstein and Baruch Fischhoff

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8757ac57-c559-4823-82e4-01723cbc4ee2 · outbound

This paper cites an unresolved cited work.

Confidence Calibration in Large Language Models Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b4ebb65-9591-4c6a-81d9-b03d351a3933 · outbound

This paper cites When are Bayesian model probabilities overconfident?.

Confidence Calibration in Large Language Models When are Bayesian model probabilities overconfident?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e9e26c0-1259-44d9-8d52-67e7696efd72 · outbound

This paper cites Understanding Model Calibration -- A gentle introduction and visual exploration of calibration and the expected calibration error (ECE).

Confidence Calibration in Large Language Models Understanding Model Calibration -- A gentle introduction and visual exploration of calibration and the expected calibration error (ECE)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 377f3949-5341-42fb-a312-9654d38ea0d8 · outbound

This paper cites Web page.

Confidence Calibration in Large Language Models Web page

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78c615ca-479a-4ca0-8ba3-5a52ab9fc33c · outbound

This paper cites GRACE: A Granular Benchmark for Evaluating Model Calibration against Human Calibration.

Confidence Calibration in Large Language Models GRACE: A Granular Benchmark for Evaluating Model Calibration against Human Calibration

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d31f1d48-005f-4085-8e42-7ad2cafb3e90 · outbound

This paper cites Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, and Christo- pher D.

Confidence Calibration in Large Language Models Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, and Christo- pher D

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4f7439e-d337-448d-8cf7-f44492eb1078 · outbound

This paper cites Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback.

Confidence Calibration in Large Language Models Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef494730-f362-44a7-bf5e-2940ada56aa8 · outbound

This paper cites ArXiv:2506.23464 [cs].

Confidence Calibration in Large Language Models ArXiv:2506.23464 [cs]

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77190e65-a272-4f00-8c38-62441e58fe05 · outbound

This paper cites Crowdsourcing Multiple Choice Science Questions.

Confidence Calibration in Large Language Models Crowdsourcing Multiple Choice Science Questions

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65038dd5-d727-406b-8cf7-2ea4e468fde1 · outbound

This paper cites ArXiv:2505.01997 [cs].

Confidence Calibration in Large Language Models ArXiv:2505.01997 [cs]

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 212fface-ed7d-47e1-bc23-d93c823bcc6d · outbound

This paper cites Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs.

Confidence Calibration in Large Language Models Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e44e662-0984-45c6-9ca1-bdd9020e8207 · outbound

This paper cites Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs.

Confidence Calibration in Large Language Models Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 572da502-e57c-4723-8c76-364e78efbe62 · outbound

This paper cites AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models.

Confidence Calibration in Large Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de24ed61-024e-45bf-b294-624b5215f3ca · outbound

This paper cites AR-LSAT: Investigating Analytical Reasoning of Text.

Confidence Calibration in Large Language Models AR-LSAT: Investigating Analytical Reasoning of Text

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e5dabe9-470e-4ffd-b9fa-fd600f0cc18e · outbound

This paper cites Reasoning.

Confidence Calibration in Large Language Models Reasoning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c08ee2c7-56df-4e05-8858-90b412ecf3b2 · inbound

Neuro-Symbolic AI for LEED compliance: Document-Centric Benchmarking, Deterministic Numeric Checking, and When Multimodal Hurts cites this paper.

Neuro-Symbolic AI for LEED compliance: Document-Centric Benchmarking, Deterministic Numeric Checking, and When Multimodal Hurts Confidence Calibration in Large Language Models

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-08-01T22:48:43.408499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.