Paper Citation Record · LEDGER

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning

As of 13 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 11 inbound Pith citation observations for arXiv:2505.11737.

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

pith.paper-citation-record.v1
2505.11737 v4

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:30:27.620057Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T03:07:50.378958Z

Reference resolution

63 of 63 outbound references displayed

verified exact39
verified fuzzy19
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 83d9ff01-8294-471e-bfbf-cc7e039f0208 · outbound

This paper cites Uncertainty quantification in fine-tuned LLMs using LoRA ensembles.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Uncertainty quantification in fine-tuned LLMs using LoRA ensembles

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.433213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ff6f7838-a475-436e-870d-823d10ca3319 · outbound

This paper cites Area under the precision-recall curve: point estimates and confidence intervals.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Area under the precision-recall curve: point estimates and confidence intervals

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T14:04:54.161814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 47a895d9-b95b-4eca-88bf-993bbd877579 · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-22T14:01:38.259150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 26523ef5-fa51-4265-96f9-407490d37d4d · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T14:04:54.155325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d2fac832-5186-4685-abd2-de240ac6bc79 · outbound

This paper cites INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.460746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 80a6d0b3-899b-4429-b07b-e874ba058466 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Training Verifiers to Solve Math Word Problems

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-22T14:01:38.477179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6d084ad1-c0e9-4c36-9c67-03c22ed7871f · outbound

This paper cites Understanding the uncertainty of llm explanations: A perspective based on reasoning topology.arXiv preprint arXiv:2502.17026.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Understanding the uncertainty of llm explanations: A perspective based on reasoning topology.arXiv preprint arXiv:2502.17026

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.400562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4f7834ef-d32e-485b-a25c-d4bd8304e23a · outbound

This paper cites Rainproof: An umbrella to shield text generator from out-of-distribution data.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Rainproof: An umbrella to shield text generator from out-of-distribution data

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T14:04:54.158559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1601aa2b-3880-42d3-92ce-f2b2d5e50ec7 · outbound

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

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.443500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 31ce4579-79d7-4123-aeb7-b8fc4b580a1d · outbound

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

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Shifting attention to relevance: Towards the predictive uncertainty quantification of free-form large language models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T14:04:54.168647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 77fd559c-ebac-4227-8ae2-39a265d0ffa0 · outbound

This paper cites Beam Search Strategies for Neural Machine Translation.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Beam Search Strategies for Neural Machine Translation

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-22T14:01:38.296491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 799f2116-42b6-41c7-b2dc-1de29f97db03 · outbound

This paper cites Deep Think with Confidence.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Deep Think with Confidence

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-22T14:01:38.412573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e1dc3c53-8cfc-41a1-ac44-427e284fefa3 · outbound

This paper cites The Llama 3 Herd of Models.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning The Llama 3 Herd of Models

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-22T14:01:38.290908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0ead29b4-f399-46dc-a0f7-0837fd53f05c · outbound

This paper cites rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-22T14:01:38.382405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b25019a6-9755-4bac-a1d1-80a3faea5a9b · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-22T14:01:38.438351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 939a6910-bfb6-4513-9e36-58088ba7baba · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-22T14:01:38.233567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f58b672c-9994-404d-8fa5-8e05ec2023c7 · outbound

This paper cites Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.464971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ccd5d13c-3716-4f78-b0f8-9df0dc01609e · outbound

This paper cites Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T14:01:38.395278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 49065686-f403-4f2f-869d-11f93f3935d5 · outbound

This paper cites Scalable best-of-n selection for large language models via self-certainty.arXiv preprint arXiv:2502.18581.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Scalable best-of-n selection for large language models via self-certainty.arXiv preprint arXiv:2502.18581

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.311847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b5385b7a-0475-403e-ae20-a52316227076 · outbound

This paper cites Large Language Models Must Be Taught to Know What They Don't Know.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Large Language Models Must Be Taught to Know What They Don't Know

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.305531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3c283511-0872-4d0b-b7f7-47baecbb0d76 · outbound

This paper cites Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.240097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 16750add-d638-4ade-9d0a-ff98e92db484 · outbound

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

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-22T14:01:38.269837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c01aeed3-89df-407a-a5f6-b3553f0f532f · outbound

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

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.484546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9f88eef8-ca47-48ee-89fd-baf571793d46 · outbound

This paper cites Uncertainty Quantification for In-Context Learning of Large Language Models.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Uncertainty Quantification for In-Context Learning of Large Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.496532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8376aeba-b0c0-4c09-8cd2-0a7d8e295253 · outbound

This paper cites DeLLMa: Decision Making Under Uncertainty with Large Language Models.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning DeLLMa: Decision Making Under Uncertainty with Large Language Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.488616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 507378e6-1e64-4373-80a7-bf7f9b5d75ac · outbound

This paper cites Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.252394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation eaa57b63-64b5-43c2-bf7a-bc146a5c072e · outbound

This paper cites SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-22T14:01:38.425808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4fb7e880-cc71-45f8-8695-cc2219ce663c · outbound

This paper cites Factscore: Fine-grained atomic evaluation of factual precision in long form text generation.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Factscore: Fine-grained atomic evaluation of factual precision in long form text generation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T14:04:54.172146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b17040dd-ffcc-4d7d-ad42-39929714d9ed · outbound

This paper cites Correcting Length Bias in Neural Machine Translation.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Correcting Length Bias in Neural Machine Translation

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-22T14:01:38.473684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation da84079e-e322-4881-b5e9-fcb073f7d014 · outbound

This paper cites Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.371687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 58574e17-6649-4135-a92d-7d30820324f8 · outbound

This paper cites Training-free bayesianization for low-rank adapters of large language models.arXiv preprint arXiv:2412.05723.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Training-free bayesianization for low-rank adapters of large language models.arXiv preprint arXiv:2412.05723

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.364039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 66f713f6-39b3-4e29-b8c6-c8f8ad048141 · outbound

This paper cites Reasoning gym: Reasoning environments for reinforcement learning with verifiable rewards.arXiv preprint arXiv:2505.24760.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Reasoning gym: Reasoning environments for reinforcement learning with verifiable rewards.arXiv preprint arXiv:2505.24760

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.456437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8e0ff273-9888-466d-9a18-fa231f8bdeb5 · outbound

This paper cites Qwen2 Technical Report.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Qwen2 Technical Report

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-22T14:01:38.451746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fd36d090-a143-44be-9e7a-b1bc56f09eab · outbound

This paper cites Just ask for calibration: Strategies for eliciting calibrated confidence scores from language models fine-tuned with human feedback.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Just ask for calibration: Strategies for eliciting calibrated confidence scores from language models fine-tuned with human feedback

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T14:04:54.165145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8158be7a-d0e1-4897-bcff-78a2e02e8328 · outbound

This paper cites Solving math word problems with process- and outcome-based feedback.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Solving math word problems with process- and outcome-based feedback

Reference 35

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T14:01:37.827431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 660d57c1-4417-472d-b3fc-c1aec11ec9db · outbound

This paper cites Mutual information alleviates hallucinations in abstractive summarization.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Mutual information alleviates hallucinations in abstractive summarization

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T14:04:54.101131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 74268c40-6587-4b1d-bc15-6452a413f700 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Attention is all you need.Advances in neural information processing systems, 30

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T14:04:54.104717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cf779a1a-eba5-4410-95a2-b6dd1dcc4e87 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-22T14:01:38.469751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dce899a5-6e22-4480-84f0-2c57615ddc70 · outbound

This paper cites BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.492763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation deb0be3e-7613-4e73-b85d-a0b13a040b50 · outbound

This paper cites Emergent Abilities of Large Language Models.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Emergent Abilities of Large Language Models

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-22T14:01:38.420484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9b9381a0-3fd0-43fd-9a48-d02d4e3a98f7 · outbound

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

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-22T14:01:38.406957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4d3a630b-e496-423c-8b3f-61f269d95b15 · outbound

This paper cites To Believe or Not to Believe Your LLM.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning To Believe or Not to Believe Your LLM

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.286476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 646bc7e1-f1cc-45f7-9e86-90a6195272b8 · outbound

This paper cites Bayesian Low-rank Adaptation for Large Language Models.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Bayesian Low-rank Adaptation for Large Language Models

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.448290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cf372d6d-4432-42aa-b6b4-c7ce5b1dae1a · outbound

This paper cites Uncertainty-Aware Step-wise Verification with Generative Reward Models.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Uncertainty-Aware Step-wise Verification with Generative Reward Models

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.277808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 881969ea-f120-408b-a1e8-83b1435ee914 · outbound

This paper cites CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.220946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b1c56a53-0093-46a3-b8b2-c47f67319986 · outbound

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

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.389956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1e660460-f535-4684-94e5-3f0020baae39 · outbound

This paper cites Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-05-22T14:01:38.246330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3f343d31-c1bb-4428-a353-b115c98fe112 · outbound

This paper cites A theoretical study on bridging internal probability and self-consistency for llm reasoning.arXiv preprint arXiv:2510.15444.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning A theoretical study on bridging internal probability and self-consistency for llm reasoning.arXiv preprint arXiv:2510.15444

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.227719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 000480f8-4ec4-4e95-847c-0a3a0a7a5d60 · outbound

This paper cites Uncertainty-Guided Chain-of-Thought for Code Generation with LLMs.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Uncertainty-Guided Chain-of-Thought for Code Generation with LLMs

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.481134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fe189900-c2e7-437d-8d0b-0643774c2191 · outbound

This paper cites In Appendix B, we present the full algorithmic description of our method with low-rank weight perturbation.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning In Appendix B, we present the full algorithmic description of our method with low-rank weight perturbation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T14:04:54.144599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f9a0ff79-822a-4c3e-b334-cfbc69b9168a · outbound

This paper cites an unresolved cited work.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-05-22T14:04:54.147881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 46dc3c28-f40a-40c8-aa16-00cd06d305a6 · outbound

This paper cites For Aleatoric Uncertainty (AU) and Total Uncertainty (TU) defined in Eqn.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning For Aleatoric Uncertainty (AU) and Total Uncertainty (TU) defined in Eqn

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T14:04:54.151848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b24b033b-9725-428d-b593-fa5910346dd7 · outbound

This paper cites 4.2, we apply length normalization to TokUR to mitigate the bias introduced by varying sequence lengths.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning 4.2, we apply length normalization to TokUR to mitigate the bias introduced by varying sequence lengths

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T14:04:54.133057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 63471ad4-10df-4091-a559-9bff0834aa25 · outbound

This paper cites True”, normalized by the sum of probabilities of token “True.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning True”, normalized by the sum of probabilities of token “True

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T14:04:54.136630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d21adb33-7a2f-4532-9d34-60715271a84d · outbound

This paper cites E.3 TEST-TIMESCALING VIAUNCERTAINTYESTIMATION We provide an additional visualization of the test-time scaling results in Fig.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning E.3 TEST-TIMESCALING VIAUNCERTAINTYESTIMATION We provide an additional visualization of the test-time scaling results in Fig

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T14:04:54.129580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 677ba42e-3582-48f1-a742-ecd97fea6c37 · outbound

This paper cites an unresolved cited work.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-05-22T14:04:54.119115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 713f43e8-ab64-465f-95a5-021523ce6a81 · outbound

This paper cites Building upon this algorithm, we use uncertainty as the score for each particle at each step to guide the model’s generation process.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Building upon this algorithm, we use uncertainty as the score for each particle at each step to guide the model’s generation process

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T14:04:54.122787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0124b369-065b-461e-958d-2f30f6e76130 · outbound

This paper cites an unresolved cited work.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-05-22T14:04:54.139914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a253ca48-fed2-4cf1-880b-255d0b04e84a · outbound

This paper cites In general, higher temperatures lead to more diverse responses.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning In general, higher temperatures lead to more diverse responses

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T14:04:54.126091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cbc348a7-6b45-4136-bc12-54ea994fda1b · outbound

This paper cites In addition, we introduce a naive baseline,Negative Length, which uses sequence length alone as a confidence signal.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning In addition, we introduce a naive baseline,Negative Length, which uses sequence length alone as a confidence signal

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T14:04:54.175859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f1d82121-148f-41ed-ba09-11f09c57b74f · outbound

This paper cites 9600 - 7200.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning 9600 - 7200

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T14:04:54.115539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 42d2b686-4dd1-4e35-8f88-f73ac6ab28ae · outbound

This paper cites 9600−7200.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning 9600−7200

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T14:04:54.112464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2ebd2217-0c3f-47f2-96bd-9d7e2208cf54 · outbound

This paper cites 60”. In the correct solution on the left, the model had low uncertainty for the correct answer “36.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning 60”. In the correct solution on the left, the model had low uncertainty for the correct answer “36

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T14:04:54.109102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation f7ef378b-40fd-4f59-a19e-25d06754ba4c · inbound

Improving Semantic Uncertainty Quantification in LVLMs with Semantic Gaussian Processes cites this paper.

Improving Semantic Uncertainty Quantification in LVLMs with Semantic Gaussian Processes TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-03T16:16:29.383723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ef053b1-8b98-4ab0-8527-f7b5173820f7 · inbound

Scaling Reasoning Hop Exposes Weaknesses: Demystifying and Improving Hop Generalization in Large Language Models cites this paper.

Scaling Reasoning Hop Exposes Weaknesses: Demystifying and Improving Hop Generalization in Large Language Models TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T10:27:44.288866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 629600cc-b54d-4b96-a783-9bbc168dd5d9 · inbound

LookWise: Knowing When and Where to Look for Fine-Grained Visual Reasoning in Multimodal Large Language Models cites this paper.

LookWise: Knowing When and Where to Look for Fine-Grained Visual Reasoning in Multimodal Large Language Models TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T20:30:59.658434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1a90c92-be96-4835-9c71-591e03eea92c · inbound

BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence cites this paper.

BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-05-13T19:53:11.968470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9bc3dafb-fa52-4179-9d76-6345cf4bf1ae · inbound

Aligning LLM Uncertainty with Human Disagreement in Subjectivity Analysis cites this paper.

Aligning LLM Uncertainty with Human Disagreement in Subjectivity Analysis TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:06:25.889812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9ec8e472-acdd-424d-b2c2-4f3b2b4b405f · inbound

Aligning LLM Uncertainty with Human Disagreement in Subjectivity Analysis cites this paper.

Aligning LLM Uncertainty with Human Disagreement in Subjectivity Analysis TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-14T21:43:00.552622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b75d57a1-83aa-47f1-bb0c-cdd080b526a3 · inbound

Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling cites this paper.

Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-03T02:22:19.005834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 259e2434-5889-4dc6-891f-bf65d478325b · inbound

From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning cites this paper.

From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning

Reference 132

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T20:38:56.088115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b7ea7294-4129-4151-8e10-c0a81d825cf1 · 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 TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T00:49:19.120110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 56f1e266-74b9-4b47-a709-9edce26419a7 · inbound

SpanUQ: Span-Level Uncertainty Quantification for Large Language Model Generation cites this paper.

SpanUQ: Span-Level Uncertainty Quantification for Large Language Model Generation TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-11T03:07:50.405456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 56c8d711-8f51-4f7f-adc4-8b65feda5946 · inbound

Attention-Path Fragility as an Uncertainty Signal in Large Language Models cites this paper.

Attention-Path Fragility as an Uncertainty Signal in Large Language Models TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T05:30:27.620057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.