Paper Citation Record · LEDGER

Taming Overconfidence in LLMs: Reward Calibration in RLHF

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2410.09724.

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

pith.paper-citation-record.v1
2410.09724 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:33:53.575510Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:58:32.551572Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a2f0ea1d-8596-401a-a1cd-3f5abadff337 · inbound

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis cites this paper.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T16:33:53.575510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 607a5fc8-c3fc-456a-bcae-c39cd7a68ee4 · inbound

Can Large Language Models Match the Conclusions of Systematic Reviews? cites this paper.

Can Large Language Models Match the Conclusions of Systematic Reviews? Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:45.303527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07571656-1408-4162-8c00-f3f3e04a398e · inbound

LLM Assertiveness can be Mechanistically Decomposed into Emotional and Logical Components cites this paper.

LLM Assertiveness can be Mechanistically Decomposed into Emotional and Logical Components Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T17:03:43.739393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d63f4a44-b50d-472e-9c78-0193e0958724 · inbound

Another Turn, Better Output? A Turn-Wise Analysis of Iterative LLM Prompting cites this paper.

Another Turn, Better Output? A Turn-Wise Analysis of Iterative LLM Prompting Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T23:12:10.111260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa5ca8e9-d994-4036-a946-90eeb1c1b26b · inbound

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards cites this paper.

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:26:28.302447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ae922221-cd9d-496b-ab84-7596603f6658 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 105

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T00:31:24.649728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c9846613-28dd-4d21-be79-665e7a2c4e19 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-03T18:19:20.047860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4bdbee7-1597-4e3b-b460-9447ab13a233 · inbound

Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards cites this paper.

Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T13:50:02.381436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 218a908e-983f-4cde-9b98-01a87c69ee99 · inbound

Confident in a Confidence Score: Investigating the Sensitivity of Confidence Scores to Supervised Fine-Tuning cites this paper.

Confident in a Confidence Score: Investigating the Sensitivity of Confidence Scores to Supervised Fine-Tuning Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:25:58.763809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 94b34015-9813-4510-b10f-a458b81c53fb · inbound

CURA: Clinical Uncertainty Risk Alignment for Language Model-Based Risk Prediction cites this paper.

CURA: Clinical Uncertainty Risk Alignment for Language Model-Based Risk Prediction Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T12:00:22.057592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d0f3526d-4537-4ff0-bfdb-4acb56c7bd27 · inbound

GroupDPO: Memory efficient Group-wise Direct Preference Optimization cites this paper.

GroupDPO: Memory efficient Group-wise Direct Preference Optimization Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:43:48.691920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ccc54c08-c8cd-408c-9b6c-31040d33de1c · inbound

Unsupervised Confidence Calibration for Reasoning LLMs from a Single Generation cites this paper.

Unsupervised Confidence Calibration for Reasoning LLMs from a Single Generation Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 174

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T03:14:07.759719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b1aa62a7-45ab-4a78-9e96-61442b57a5b7 · inbound

Efficient Test-Time Inference via Deterministic Exploration of Truncated Decoding Trees cites this paper.

Efficient Test-Time Inference via Deterministic Exploration of Truncated Decoding Trees Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T01:04:50.002848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e198e2d6-1265-45f0-a543-dbbebc498ac0 · inbound

Agent-BRACE: Decoupling Beliefs from Actions in Long-Horizon Tasks via Verbalized State Uncertainty cites this paper.

Agent-BRACE: Decoupling Beliefs from Actions in Long-Horizon Tasks via Verbalized State Uncertainty Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T02:37:07.994548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bb52a3f5-3bd1-4b7c-a761-dd7236d994b5 · inbound

CHAL: Council of Hierarchical Agentic Language cites this paper.

CHAL: Council of Hierarchical Agentic Language Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:59:25.854790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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

Confidence Calibration in Large Language Models cites this paper.

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

Reference 10

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a28bca9-603e-4d6b-bc27-859e3a70ba3a · inbound

Ten Headache Specialists versus Artificial Intelligence for Clinical Literature Summarization: A Critical Evaluation and Comparison cites this paper.

Ten Headache Specialists versus Artificial Intelligence for Clinical Literature Summarization: A Critical Evaluation and Comparison Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 127

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T08:26:48.121851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9ad256af-5a97-4db0-afec-8497b0108f85 · inbound

Calibrating the Evaluator: Does Probability Calibration Mitigate Preference Coupling in LLM Agent Feedback Loops? cites this paper.

Calibrating the Evaluator: Does Probability Calibration Mitigate Preference Coupling in LLM Agent Feedback Loops? Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:55:40.896183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 25b1d762-bb7c-499c-a5b7-51cc77b8c286 · inbound

Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs cites this paper.

Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:35:42.132345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fa365aa6-dfbd-4c15-b6db-49a604551323 · inbound

Verifiable Rewards for Calibrated Probabilistic Forecasting cites this paper.

Verifiable Rewards for Calibrated Probabilistic Forecasting Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T19:47:18.749700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 979babe3-935f-4385-8633-22075dd91c85 · inbound

Scaling with Confidence: Calibrating Confidence of LLMs for Adaptive Test Time Scaling cites this paper.

Scaling with Confidence: Calibrating Confidence of LLMs for Adaptive Test Time Scaling Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:58:32.552966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1bb14b89-c902-41b2-aa21-1684b3a5f897 · inbound

Auto-Fill: Learning to Predict Missing Values Accurately with Specialist Language Models cites this paper.

Auto-Fill: Learning to Predict Missing Values Accurately with Specialist Language Models Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T11:40:00.632550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.