Paper Citation Record · LEDGER

Estimating LLM Uncertainty with Evidence

As of 10 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 14 inbound Pith citation observations for arXiv:2502.00290.

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

pith.paper-citation-record.v1
2502.00290 v5

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:37:16.059510Z

measured 59 of 59 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:42:51.904889Z

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

45 of 45 outbound references displayed

verified exact0
verified fuzzy20
unresolved24
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation d0242f88-6e93-4393-a8a2-424f5a0c04a6 · outbound

This paper cites LLMs Will Always Hallucinate, and We Need to Live With This.

Estimating LLM Uncertainty with Evidence LLMs Will Always Hallucinate, and We Need to Live With This

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T19:37:15.826083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ab44b50-bca0-4dcf-8eb6-b9ce4e471391 · outbound

This paper cites Accuracy, consistency, and hallucination of large language models when analyzing unstructured clinical notes in electronic medical records,.

Estimating LLM Uncertainty with Evidence Accuracy, consistency, and hallucination of large language models when analyzing unstructured clinical notes in electronic medical records,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:37:16.998224Z

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.

Observation 1b7dcee1-694f-44ae-a236-88ecf87d6c7b · outbound

This paper cites Large legal fictions: Profiling legal hallucinations in large language models,.

Estimating LLM Uncertainty with Evidence Large legal fictions: Profiling legal hallucinations in large language models,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:37:16.981499Z

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.

Observation 37c05d37-990c-41f6-a74c-6067a24de6a6 · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

Estimating LLM Uncertainty with Evidence A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T19:37:15.843385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3db32e08-da2b-4f5f-9491-d813f42315c2 · outbound

This paper cites Exploring and evaluating hallucinations in llm- powered code generation,.

Estimating LLM Uncertainty with Evidence Exploring and evaluating hallucinations in llm- powered code generation,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T19:37:15.849007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 375e12b2-92f1-40ec-8ada-4f9e673ad5af · outbound

This paper cites Hallucinations in llms: Understanding and addressing challenges,.

Estimating LLM Uncertainty with Evidence Hallucinations in llms: Understanding and addressing challenges,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:37:16.962887Z

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.

Observation d6817b71-2f39-42f4-ab44-30f71f63d2b9 · outbound

This paper cites Larger and more instructable language models become less reliable,.

Estimating LLM Uncertainty with Evidence Larger and more instructable language models become less reliable,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:37:16.946955Z

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.

Observation 2820dfff-0a9c-4657-a2c1-aecdb32c8418 · outbound

This paper cites On Hallucination and Predictive Uncertainty in Conditional Language Generation.

Estimating LLM Uncertainty with Evidence On Hallucination and Predictive Uncertainty in Conditional Language Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T19:37:15.864677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba7567fc-5fde-4fef-be36-4487637aa3db · outbound

This paper cites A Survey of Uncertainty Estimation in LLMs: Theory Meets Practice.

Estimating LLM Uncertainty with Evidence A Survey of Uncertainty Estimation in LLMs: Theory Meets Practice

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T19:37:15.869881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf3b8baa-f353-4dfe-b26d-9919f749a106 · outbound

This paper cites Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus.

Estimating LLM Uncertainty with Evidence Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T19:37:15.875048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85d5204c-c630-4f9d-9c34-6a474b9c624a · outbound

This paper cites DebUnc: Improving Large Language Model Agent Communication With Uncertainty Metrics.

Estimating LLM Uncertainty with Evidence DebUnc: Improving Large Language Model Agent Communication With Uncertainty Metrics

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T19:37:15.880104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62d057cf-cbfe-4d10-8f6d-e35760997b28 · outbound

This paper cites Towards mitigating llm hallucination via self reflection,.

Estimating LLM Uncertainty with Evidence Towards mitigating llm hallucination via self reflection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:37:16.930325Z

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.

Observation 62a22d34-a087-4b0e-a433-8dacf827c60a · outbound

This paper cites SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency.

Estimating LLM Uncertainty with Evidence SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T19:37:15.889897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4336db6c-d9c8-4ddb-98e0-72f84ed20621 · outbound

This paper cites Unlocking the Power of LLM Uncertainty for Active In-Context Example Selection.

Estimating LLM Uncertainty with Evidence Unlocking the Power of LLM Uncertainty for Active In-Context Example Selection

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T19:37:15.894808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a2c8c2a-f0ea-479c-a500-b113425ec414 · outbound

This paper cites Semantic uncertainty: Linguistic invariances for uncertainty estimation in natural language genera- tion,.

Estimating LLM Uncertainty with Evidence Semantic uncertainty: Linguistic invariances for uncertainty estimation in natural language genera- tion,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:37:16.913271Z

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.

Observation daeb02fd-472a-4355-ad9d-ed733221a94d · outbound

This paper cites Language Model Cascades: Token-level uncertainty and beyond.

Estimating LLM Uncertainty with Evidence Language Model Cascades: Token-level uncertainty and beyond

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T19:37:15.904648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57f2023e-c9e9-4367-81fb-88c4db1d6211 · outbound

This paper cites Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification.

Estimating LLM Uncertainty with Evidence Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T19:37:15.909742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 294c4aeb-1d41-4e1a-8897-da44984656a7 · outbound

This paper cites Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability.

Estimating LLM Uncertainty with Evidence Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T19:37:15.914764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2e07114-e6c2-4b35-a350-6d484990f08c · outbound

This paper cites Shifting attention to relevance: Towards the predictive uncertainty quantification of free-form large lan- guage models,.

Estimating LLM Uncertainty with Evidence Shifting attention to relevance: Towards the predictive uncertainty quantification of free-form large lan- guage models,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:37:16.897175Z

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.

Observation 45209f9c-2cd0-447c-90b2-50cebb81d5f7 · outbound

This paper cites GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations.

Estimating LLM Uncertainty with Evidence GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T19:37:15.933653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae1f2a1f-2bc9-4e61-af1f-feff9142cf38 · outbound

This paper cites Forking Paths in Neural Text Generation.

Estimating LLM Uncertainty with Evidence Forking Paths in Neural Text Generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T19:37:15.938913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba258a9d-d22a-41a9-b554-da4cc97b2dbd · outbound

This paper cites Evidential deep learning to quantify classification uncertainty,.

Estimating LLM Uncertainty with Evidence Evidential deep learning to quantify classification uncertainty,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T19:37:15.943777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65c8cc91-ae82-4c24-828c-0f04d8c8c839 · outbound

This paper cites Selectively answering ambiguous questions,.

Estimating LLM Uncertainty with Evidence Selectively answering ambiguous questions,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:37:16.869876Z

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.

Observation 9f30a042-4ed0-4049-b7d4-334e652e85cd · outbound

This paper cites Generating with confidence: Uncertainty quantification for black-box large language models,.

Estimating LLM Uncertainty with Evidence Generating with confidence: Uncertainty quantification for black-box large language models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:37:16.854834Z

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.

Observation 3bf548dc-c79f-42c0-9133-69420699af43 · outbound

This paper cites Types of out-of-distribution texts and how to detect them,.

Estimating LLM Uncertainty with Evidence Types of out-of-distribution texts and how to detect them,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:37:16.838895Z

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.

Observation 65b237f8-5437-4171-b864-8eeca6386547 · outbound

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

Estimating LLM Uncertainty with Evidence Language Models (Mostly) Know What They Know

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T19:37:15.974654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4551754-b209-4e81-82b4-ceb52373dfd6 · outbound

This paper cites Mitigating neural network overconfidence with logit normalization,.

Estimating LLM Uncertainty with Evidence Mitigating neural network overconfidence with logit normalization,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:37:16.823080Z

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.

Observation 4f522b98-8d91-4528-8d21-abbf158e5a76 · outbound

This paper cites Top-$n\sigma$: Not All Logits Are You Need.

Estimating LLM Uncertainty with Evidence Top-$n\sigma$: Not All Logits Are You Need

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-09T19:37:15.984629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec99aa02-b4e4-4171-94df-abdcd391c773 · outbound

This paper cites Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation.

Estimating LLM Uncertainty with Evidence Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T19:37:15.989757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebb25711-5536-4060-8fff-ff171d4592bf · outbound

This paper cites Large-language models facilitate discovery of the molecular signatures regulating sleep and activity,.

Estimating LLM Uncertainty with Evidence Large-language models facilitate discovery of the molecular signatures regulating sleep and activity,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:37:16.807109Z

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.

Observation 58cce35d-b56e-4b63-ae6b-fb721bb889e9 · outbound

This paper cites SemEval-2018 task 1: Affect in tweets,.

Estimating LLM Uncertainty with Evidence SemEval-2018 task 1: Affect in tweets,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:37:16.790963Z

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.

Observation cb1f22fe-751a-4886-97f3-5c39472df205 · outbound

This paper cites Uncertainty estimation in autoregressive structured prediction,.

Estimating LLM Uncertainty with Evidence Uncertainty estimation in autoregressive structured prediction,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:37:16.774869Z

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.

Observation cd4af3ed-8a71-45e1-9b76-54c32f05c719 · outbound

This paper cites A review of uncertainty quantification in deep learning: Techniques, applications and challenges,.

Estimating LLM Uncertainty with Evidence A review of uncertainty quantification in deep learning: Techniques, applications and challenges,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:37:16.758677Z

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.

Observation 24790971-2951-4653-bb5b-fe47f2a4c52b · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

Estimating LLM Uncertainty with Evidence TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T19:37:16.013725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bad1ba3-f3a2-4097-a7d3-ada76f1fdd56 · outbound

This paper cites Efficient and effective uncertainty quantification for LLMs,.

Estimating LLM Uncertainty with Evidence Efficient and effective uncertainty quantification for LLMs,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:37:16.742977Z

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.

Observation b8cbbc45-584d-4029-b442-b287cf8b0115 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Estimating LLM Uncertainty with Evidence mixup: Beyond Empirical Risk Minimization

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T19:37:16.023449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74b1c778-d218-4434-beb7-e25b00c8e687 · outbound

This paper cites Detecting hallucina- tions in large language models using semantic entropy,.

Estimating LLM Uncertainty with Evidence Detecting hallucina- tions in large language models using semantic entropy,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:37:16.727375Z

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.

Observation 04f0c26a-ee1e-4944-a340-b427dfb1f839 · outbound

This paper cites positive.

Estimating LLM Uncertainty with Evidence positive

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:37:16.709930Z

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.

Observation 68bbc61b-5318-431a-861c-100c5b6fb77f · outbound

This paper cites same question.

Estimating LLM Uncertainty with Evidence same question

Reference 41

Resolution: malformed identifier; raw_fallback, observed 2026-08-09T19:37:16.691999Z

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.

Observation a73e2e73-ce5a-48f1-a11f-e426a6739759 · outbound

This paper cites an unresolved cited work.

Estimating LLM Uncertainty with Evidence Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:37:16.674930Z

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.

Observation fdcdbab2-4d7d-4d0f-9be7-72b1c5430660 · outbound

This paper cites These gradients describe how the loss changes with respect to the logits.

Estimating LLM Uncertainty with Evidence These gradients describe how the loss changes with respect to the logits

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:37:16.657880Z

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.

Observation 82060930-8ac8-4a78-be72-1a6fc36b7f81 · outbound

This paper cites an unresolved cited work.

Estimating LLM Uncertainty with Evidence Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:37:16.641011Z

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.

Observation bef7112f-c700-414e-b190-dc050ebba5c7 · outbound

This paper cites These updates ensure that the logit for the correct class increases, while the logits for incorrect classes decrease.

Estimating LLM Uncertainty with Evidence These updates ensure that the logit for the correct class increases, while the logits for incorrect classes decrease

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:37:16.623806Z

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.

Observation bb76b72b-f56d-47fe-afe9-8d04bcc43d78 · outbound

This paper cites Selectively Answering Ambiguous Questions.

Estimating LLM Uncertainty with Evidence Selectively Answering Ambiguous Questions

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T19:37:15.953746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88eca61b-a106-4702-96bb-049d53cbd86b · outbound

This paper cites Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models.

Estimating LLM Uncertainty with Evidence Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-09T19:37:15.964092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a74aa3d1-f810-4021-bcd1-0aaa22737640 · inbound

INSIGHT: INference-time Sequence Introspection for Generating Help Triggers in Vision-Language-Action Models cites this paper.

INSIGHT: INference-time Sequence Introspection for Generating Help Triggers in Vision-Language-Action Models Estimating LLM Uncertainty with Evidence

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T12:59:13.074740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86574f10-0733-4eec-bae3-0dbcb32806ae · inbound

Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification cites this paper.

Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification Estimating LLM Uncertainty with Evidence

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.562358Z

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.

Observation cf013c7b-ee07-4188-b2de-73a7e1041c6a · inbound

WebUncertainty: Dual-Level Uncertainty Driven Planning and Reasoning For Autonomous Web Agent cites this paper.

WebUncertainty: Dual-Level Uncertainty Driven Planning and Reasoning For Autonomous Web Agent Estimating LLM Uncertainty with Evidence

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-10T04:55:34.814992Z

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.

Observation d2b49091-b85b-4cb2-9767-1f117f1cb5ea · inbound

Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models cites this paper.

Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models Estimating LLM Uncertainty with Evidence

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:51:09.475221Z

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.

Observation 6ba09d37-047a-4529-8ee3-7d13b0252693 · inbound

Estimating the Black-box LLM Uncertainty with Distribution-Aligned Adversarial Distillation cites this paper.

Estimating the Black-box LLM Uncertainty with Distribution-Aligned Adversarial Distillation Estimating LLM Uncertainty with Evidence

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:46:15.050408Z

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.

Observation 45f8ff32-e5a2-4cb4-8a5d-b133e6ed93e2 · inbound

Towards Generation-Efficient Uncertainty Estimation in Large Language Models cites this paper.

Towards Generation-Efficient Uncertainty Estimation in Large Language Models Estimating LLM Uncertainty with Evidence

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:46:09.744926Z

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.

Observation 19c28453-71f1-49eb-a6d8-8c80b402c7cf · inbound

VIHD: Visual Intervention-based Hallucination Detection for Medical Visual Question Answering cites this paper.

VIHD: Visual Intervention-based Hallucination Detection for Medical Visual Question Answering Estimating LLM Uncertainty with Evidence

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:53:59.114874Z

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.

Observation f6a1cdf3-60d0-4571-93f0-2ae38a2a1b73 · inbound

VIHD: Visual Intervention-based Hallucination Detection for Medical Visual Question Answering cites this paper.

VIHD: Visual Intervention-based Hallucination Detection for Medical Visual Question Answering Estimating LLM Uncertainty with Evidence

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:34:57.401551Z

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.

Observation a8acfb39-db46-4341-b2f0-8b721e0ca486 · inbound

From Accuracy to Auditability: A Survey of Determinism in Financial AI Systems cites this paper.

From Accuracy to Auditability: A Survey of Determinism in Financial AI Systems Estimating LLM Uncertainty with Evidence

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T14:05:45.794051Z

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.

Observation dfbd8d8a-4ba6-45d4-a40e-cf096d839a3c · inbound

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs cites this paper.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Estimating LLM Uncertainty with Evidence

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:56:28.937475Z

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.

Observation 1de4ce3b-2482-4863-881c-857fafb76c63 · inbound

Quantifying Consistency in LLM Logical Reasoning via Structural Uncertainty cites this paper.

Quantifying Consistency in LLM Logical Reasoning via Structural Uncertainty Estimating LLM Uncertainty with Evidence

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-03T18:08:46.661580Z

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.

Observation 500f4404-1869-4720-b905-da3d1518b367 · inbound

Uncertainty Quantification for Flow-Based Vision-Language-Action Models cites this paper.

Uncertainty Quantification for Flow-Based Vision-Language-Action Models Estimating LLM Uncertainty with Evidence

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:18:58.729466Z

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.

Observation 7ecb2ac6-962a-4510-95ce-117da5ea64a3 · inbound

LLM Doesn't Know What It Doesn't Know: Detecting Epistemic Blind Spots via Cross-Model Attribution Divergence on Clinical Tabular Data cites this paper.

LLM Doesn't Know What It Doesn't Know: Detecting Epistemic Blind Spots via Cross-Model Attribution Divergence on Clinical Tabular Data Estimating LLM Uncertainty with Evidence

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:49:19.124475Z

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.

Observation bf4e81a8-8231-4cb9-83e4-18991d76f930 · inbound

Can You Trust the Confidence? ConfBench for Vision-Language Models on Document Extraction cites this paper.

Can You Trust the Confidence? ConfBench for Vision-Language Models on Document Extraction Estimating LLM Uncertainty with Evidence

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T20:42:51.904889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.