On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models | Paper Citation Record

Observation a220e5de-7d5c-4501-871a-ccaa756fe300 · outbound

This paper cites A Survey of Reinforcement Learning for Large Reasoning Models.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models A Survey of Reinforcement Learning for Large Reasoning Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14b14a91-0652-45ef-89c9-6e2f347d73b7 · outbound

This paper cites SCOPE-RL: Stable and Quantitative Control of Policy Entropy in RL Post-Training.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models SCOPE-RL: Stable and Quantitative Control of Policy Entropy in RL Post-Training

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cdab405-7cf5-4d94-be43-5d3540f04d9a · outbound

This paper cites It Takes Two: Your GRPO Is Secretly DPO.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models It Takes Two: Your GRPO Is Secretly DPO

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d8dfb08-5b5e-404c-9640-a71ee07a683f · outbound

This paper cites Outcome-based Rein- forcement Learning to Predict the Future,.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Outcome-based Rein- forcement Learning to Predict the Future,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72a7312b-b801-4abe-9926-cf3ff656fb01 · outbound

This paper cites Firm or Fickle? Evaluating Large Language Models Consistency in Sequential Interactions,.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Firm or Fickle? Evaluating Large Language Models Consistency in Sequential Interactions,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fcdf683-f389-4078-b34a-6fd8beecd64e · outbound

This paper cites Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty,.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2105efa6-413f-40c9-8f38-ccba8458c4e2 · outbound

This paper cites an unresolved cited work.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e1ac6df-f903-4a0c-ab74-697491d8a9a5 · outbound

This paper cites an unresolved cited work.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 552e4d26-c4c1-4602-b77c-a61592b04498 · outbound

This paper cites GPT-4 Technical Report.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models GPT-4 Technical Report

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 829a1b1c-21f1-481b-9f62-9c15450639b4 · outbound

This paper cites SFT memorizes, RL generalizes: A comparative study of foundation model post-training,.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models SFT memorizes, RL generalizes: A comparative study of foundation model post-training,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb3bfabd-0f07-425b-aea1-b5ac96dc0ca8 · outbound

This paper cites RL’s razor: Why online reinforcement learning forgets less,.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models RL’s razor: Why online reinforcement learning forgets less,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20833cee-8b4b-4ffc-a583-9bc80c1e743d · outbound

This paper cites Rewarding Doubt: A Reinforcement Learning Approach to Calibrated Confidence Expression of Large Language Models,.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Rewarding Doubt: A Reinforcement Learning Approach to Calibrated Confidence Expression of Large Language Models,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f41aa734-1a8c-4352-957a-802fff9735fd · outbound

This paper cites SaySelf: Teaching LLMs to express confidence with self-reflective rationales,.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models SaySelf: Teaching LLMs to express confidence with self-reflective rationales,

Reference 13

Resolution: malformed identifier; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f41b44a-aed2-453f-bdb2-d7fe5ee1d8ea · outbound

This paper cites Confidence Before Answering: A Paradigm Shift for Efficient LLM Uncertainty Estimation.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Confidence Before Answering: A Paradigm Shift for Efficient LLM Uncertainty Estimation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea9945b7-bd89-4aaa-b59f-77455df36b64 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c1dd897-8b16-4eb1-ac37-adabd9cc5d5d · outbound

This paper cites Admissible probability measurement procedures,.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Admissible probability measurement procedures,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9727fec-f34c-4af3-890d-d4e977eaad9f · outbound

This paper cites an unresolved cited work.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbc17b0a-6311-4668-89b6-f506f9bbeb86 · outbound

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

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a48ec1e8-5be8-40b7-834a-7ea622dc476d · outbound

This paper cites Why Language Models Hallucinate.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Why Language Models Hallucinate

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58ce190f-a24f-46e5-8dfb-87ec167a8392 · outbound

This paper cites HotpotQA: A dataset for diverse, explainable multi-hop question answering,.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models HotpotQA: A dataset for diverse, explainable multi-hop question answering,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b88bc4ac-058b-458a-800b-2418edf48972 · outbound

This paper cites Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f640058f-4066-40c0-b8b7-8541b8dd9730 · outbound

This paper cites DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b495b955-400d-485b-bd24-cc79af99dc45 · outbound

This paper cites Qwen2 Technical Report.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Qwen2 Technical Report

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 195e7627-36c7-40e6-a00c-1042e9f08ff2 · outbound

This paper cites an unresolved cited work.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59fbb22e-1df8-4f57-ac4e-e9641c1fd19d · outbound

This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Understanding R1-Zero-Like Training: A Critical Perspective

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ed11d6c-ee92-440b-8fb4-94d7cf5a503c · outbound

This paper cites Qwen3 Technical Report.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Qwen3 Technical Report

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe127a5d-f4d4-4a23-95c2-5cf57a3c2661 · outbound

This paper cites an unresolved cited work.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaf0b481-ec22-4976-a8db-0cf8c7b45d8d · outbound

This paper cites A General Method for Comparing Probability Assessors,.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models A General Method for Comparing Probability Assessors,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3efbe34a-f4f6-45fd-b435-8693e67a15da · outbound

This paper cites an unresolved cited work.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2bfca92-7de1-4bdb-898f-ca227b722aa5 · outbound

This paper cites Strictly proper scoring rules, prediction, and estimation,.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Strictly proper scoring rules, prediction, and estimation,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c213e2d3-1013-49eb-86aa-e42925393cce · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models LoRA: Low-Rank Adaptation of Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d486a7fa-41ef-40f6-972b-059fe2b112e7 · outbound

This paper cites Uncalibrated Reasoning: GRPO Induces Overconfidence for Stochastic Outcomes.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Uncalibrated Reasoning: GRPO Induces Overconfidence for Stochastic Outcomes

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a8a7361-e3af-4335-aa39-bdd53b5ba9fa · outbound

This paper cites an unresolved cited work.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c259ad32-a8d4-4767-9fa4-d4faf44a274a · outbound

This paper cites On Calibration of Modern Neural Networks.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models On Calibration of Modern Neural Networks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33e8cbd5-89f1-4c0e-9127-07b3c1a6ac20 · outbound

This paper cites A statistical theory of target detection by pulsed radar,.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models A statistical theory of target detection by pulsed radar,

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-11T20:08:14.251687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ef4e4af7-e240-4f84-9688-f525108920a3 · outbound

This paper cites The theory of signal detectability,.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models The theory of signal detectability,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f68b387-ed16-4195-b404-b2759d6b5463 · outbound

This paper cites Verification of forecasts expressed in terms of probability,.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Verification of forecasts expressed in terms of probability,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20230dff-c10a-4d32-9cfe-d403097cc923 · outbound

This paper cites ROUGE: A package for automatic evaluation of summaries,.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models ROUGE: A package for automatic evaluation of summaries,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb4943ac-b91a-495b-b4df-7686b2808feb · outbound

This paper cites Available:https://aclanthology.org/W04-1013/.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Available:https://aclanthology.org/W04-1013/

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e083bd8d-01fd-45b0-b92d-6a2988c40621 · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention,.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Efficient Memory Management for Large Language Model Serving with PagedAttention,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aec3a7e3-3fd6-44f2-af9d-435d2c2b9de0 · outbound

This paper cites Decoupled Weight Decay Regularization,.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Decoupled Weight Decay Regularization,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fc90be2-76fd-43d7-8142-ddd6367fbbc9 · outbound

This paper cites an unresolved cited work.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 089d2199-ed5b-4cad-a769-2b66af852dd3 · outbound

This paper cites Devic, C.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Devic, C

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 884c7249-7ac2-4069-8493-394f70e9f434 · outbound

This paper cites The Llama 3 Herd of Models.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models The Llama 3 Herd of Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ef90444-179c-411b-8300-920208accd13 · outbound

This paper cites For our experiments, the minimum possible representable confidence value is 1 202, hence confidence reward hacking cannot take place in Log- 1 ln 202.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models For our experiments, the minimum possible representable confidence value is 1 202, hence confidence reward hacking cannot take place in Log- 1 ln 202

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e875adf7-587c-48a2-b0fc-13bdb7690e48 · outbound

This paper cites In Appendix D.1, we generalize this finding by proving a sufficient condition for a non-hackable reward confidence scheme to exhibit overconfidence or underconfidence bias.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models In Appendix D.1, we generalize this finding by proving a sufficient condition for a non-hackable reward confidence scheme to exhibit overconfidence or underconfidence bias

Reference 46

Resolution: malformed identifier; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a52d87f1-9274-4cd4-a338-e26bd7cf9c34 · outbound

This paper cites Final Answer:.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Final Answer:

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc10e0de-61c2-4e28-bf46-4f84e7eb5743 · outbound

This paper cites an unresolved cited work.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a37ac73c-4a2b-4f5e-a98c-5697128d98f1 · outbound

This paper cites For mathematical answers, answer in LaTeX format.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models For mathematical answers, answer in LaTeX format

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb868bef-2c00-46b5-8a2a-400ce35bbee4 · outbound

This paper cites an unresolved cited work.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Unresolved cited work

Reference 50

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c11076fc-4da9-4b45-8a8a-d508b8ebb589 · outbound

This paper cites The Grand Tour.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models The Grand Tour

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers