Paper Citation Record · LEDGER

Learning Explainable Dense Reward Shapes via Bayesian Optimization

As of 16 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2504.16272.

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

pith.paper-citation-record.v1
2504.16272 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:13:53.754841Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:02:49.831725Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:02:54.459404Z

Reference resolution

62 of 62 outbound references displayed

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External citation measurements

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Outbound references

Observation be0da2d2-02ca-4c3d-a3db-62d5940f0410 · outbound

This paper cites write newline.

Learning Explainable Dense Reward Shapes via Bayesian Optimization write newline

Reference 1

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Observation e2aa7bc8-7f03-4647-8dc1-d377fda7d9ef · outbound

This paper cites Searching for optimal solutions with LLM s via bayesian optimization.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Searching for optimal solutions with LLM s via bayesian optimization

Reference 2

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Observation a5a0520c-5ccb-4251-8b39-c9a7f7d2d610 · outbound

This paper cites Unexpected Improvements to Expected Improvement for Bayesian Optimization.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Unexpected Improvements to Expected Improvement for Bayesian Optimization

Reference 3

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Observation fb9fcc38-3381-4ca2-9f72-a4efe3d8e5e7 · outbound

This paper cites Bayesian optimization with llm-based acquisition functions for natural language preference elicitation.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Bayesian optimization with llm-based acquisition functions for natural language preference elicitation

Reference 4

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Observation 2d390c19-b550-42ce-9c64-b1316cb013b9 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 5

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This paper cites Ae: A domain-agnostic platform for adaptive experimentation.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Ae: A domain-agnostic platform for adaptive experimentation

Reference 6

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Observation cc0f65d8-6b68-4d18-9f57-5b92b2a68c63 · outbound

This paper cites Mechanistic Interpretability for AI Safety -- A Review.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Mechanistic Interpretability for AI Safety -- A Review

Reference 7

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Observation d5e0754c-e84a-4333-acba-9334c00391f3 · outbound

This paper cites Enhancing reinforcement learning with dense rewards from language model critic.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Enhancing reinforcement learning with dense rewards from language model critic

Reference 9

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Observation 0cf3d6ff-6d29-49ed-942a-da79774322f7 · outbound

This paper cites Dense Reward for Free in Reinforcement Learning from Human Feedback.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Dense Reward for Free in Reinforcement Learning from Human Feedback

Reference 10

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This paper cites RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs.

Learning Explainable Dense Reward Shapes via Bayesian Optimization RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs

Reference 11

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Observation 26ef8640-410d-4711-8656-5ae3060cda3b · outbound

This paper cites I nstruct Z ero: Efficient instruction optimization for black-box large language models.

Learning Explainable Dense Reward Shapes via Bayesian Optimization I nstruct Z ero: Efficient instruction optimization for black-box large language models

Reference 12

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Observation b500da87-2c39-4e7f-bdec-d37695cf0303 · outbound

This paper cites Improving large language models via fine-grained reinforcement learning with minimum editing constraint.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Improving large language models via fine-grained reinforcement learning with minimum editing constraint

Reference 13

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Observation aed75ea4-28d5-4ad9-94c2-b3cc03dd2de7 · outbound

This paper cites UltraFeedback: Boosting Language Models with Scaled AI Feedback.

Learning Explainable Dense Reward Shapes via Bayesian Optimization UltraFeedback: Boosting Language Models with Scaled AI Feedback

Reference 14

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Observation fdae8e29-b113-42f9-8ed7-9feef875c404 · outbound

This paper cites Robust Multi-Objective Bayesian Optimization Under Input Noise.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Robust Multi-Objective Bayesian Optimization Under Input Noise

Reference 15

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Observation d3ecf171-2a3b-488d-99d8-3b0ac85c3a84 · outbound

This paper cites A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language Models.

Learning Explainable Dense Reward Shapes via Bayesian Optimization A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language Models

Reference 16

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Observation 92fb10e7-d4b0-4506-9d89-ab0bc274e946 · outbound

This paper cites RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment.

Learning Explainable Dense Reward Shapes via Bayesian Optimization RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

Reference 17

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Observation 36ab075a-59d5-49ae-8f89-c1c6a84ed3c1 · outbound

This paper cites Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

Reference 18

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Observation 8161ca46-facc-4825-bec4-0d5aa31e7eed · outbound

This paper cites Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO

Reference 19

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Observation d9ee4086-abdb-4475-9efa-c687835bf8f0 · outbound

This paper cites Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization

Reference 20

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Observation 69800bf4-61c8-44bf-a872-39ccbd9da377 · outbound

This paper cites Reward Shaping to Mitigate Reward Hacking in RLHF.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Reward Shaping to Mitigate Reward Hacking in RLHF

Reference 21

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This paper cites Scaling Laws for Reward Model Overoptimization.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Scaling Laws for Reward Model Overoptimization

Reference 22

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Learning Explainable Dense Reward Shapes via Bayesian Optimization B ayesian calibration of win rate estimation with LLM evaluators

Reference 23

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This paper cites Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment

Reference 24

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Observation f9852ba3-ac7b-4ce6-af06-9581434901ab · outbound

This paper cites Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity

Reference 25

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Learning Explainable Dense Reward Shapes via Bayesian Optimization AlphaPO: Reward Shape Matters for LLM Alignment

Reference 26

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This paper cites Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica

Reference 27

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Observation ff39b7f4-85c4-408c-a901-46bbb42e1719 · outbound

This paper cites Learning to utilize shaping rewards: a new approach of reward shaping.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Learning to utilize shaping rewards: a new approach of reward shaping

Reference 28

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This paper cites Training language models to generate text with citations via fine-grained rewards.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Training language models to generate text with citations via fine-grained rewards

Reference 29

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Learning Explainable Dense Reward Shapes via Bayesian Optimization Attention is not Explanation

Reference 30

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This paper cites Align to structure: Aligning large language models with structural information, 2025.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Align to structure: Aligning large language models with structural information, 2025

Reference 31

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Observation 0ae909f1-dbc3-4b54-86f6-7cf6d7f79335 · outbound

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Learning Explainable Dense Reward Shapes via Bayesian Optimization Unresolved cited work

Reference 32

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Learning Explainable Dense Reward Shapes via Bayesian Optimization Dvornek, Yufeng Gu, Pamela Ventola, and James S

Reference 33

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Learning Explainable Dense Reward Shapes via Bayesian Optimization Let's Verify Step by Step

Reference 34

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Learning Explainable Dense Reward Shapes via Bayesian Optimization Checkpoint merging via bayesian optimization in llm pretraining

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Learning Explainable Dense Reward Shapes via Bayesian Optimization Choosing the sample size of a computer experiment: A practical guide

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Learning Explainable Dense Reward Shapes via Bayesian Optimization A unified approach to interpreting model predictions

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Learning Explainable Dense Reward Shapes via Bayesian Optimization López and Martha Saboyá

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Learning Explainable Dense Reward Shapes via Bayesian Optimization Ng, Daishi Harada, and Stuart J

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Learning Explainable Dense Reward Shapes via Bayesian Optimization Optimizing instructions and demonstrations for multi-stage language model programs

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Learning Explainable Dense Reward Shapes via Bayesian Optimization Token-level Proximal Policy Optimization for Query Generation

Reference 41

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Learning Explainable Dense Reward Shapes via Bayesian Optimization From $r$ to $Q^*$: Your Language Model is Secretly a Q-Function

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Learning Explainable Dense Reward Shapes via Bayesian Optimization Vanishing Gradients in Reinforcement Finetuning of Language Models

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Learning Explainable Dense Reward Shapes via Bayesian Optimization "Why Should I Trust You?": Explaining the Predictions of Any Classifier

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Learning Explainable Dense Reward Shapes via Bayesian Optimization Proximal Policy Optimization Algorithms

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Learning Explainable Dense Reward Shapes via Bayesian Optimization Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF

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Learning Explainable Dense Reward Shapes via Bayesian Optimization Practical Bayesian Optimization of Machine Learning Algorithms

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Learning Explainable Dense Reward Shapes via Bayesian Optimization Sutton and Andrew G

Reference 48

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Learning Explainable Dense Reward Shapes via Bayesian Optimization The Llama 3 Herd of Models

Reference 49

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Learning Explainable Dense Reward Shapes via Bayesian Optimization Solving math word problems with process- and outcome-based feedback

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Learning Explainable Dense Reward Shapes via Bayesian Optimization Trl: Transformer reinforcement learning

Reference 51

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Learning Explainable Dense Reward Shapes via Bayesian Optimization Fine-Grained Human Feedback Gives Better Rewards for Language Model Training

Reference 52

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Learning Explainable Dense Reward Shapes via Bayesian Optimization Text2Reward: Reward Shaping with Language Models for Reinforcement Learning

Reference 53

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Learning Explainable Dense Reward Shapes via Bayesian Optimization Bayesian reward models for llm alignment

Reference 54

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Observation da0bccb0-6288-4891-90e1-995df1dfcd19 · outbound

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Learning Explainable Dense Reward Shapes via Bayesian Optimization Tlcr: Token-level continuous reward for fine-grained reinforcement learning from human feedback

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:13:54.664323Z

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Observation 4c7b430a-b5cd-4705-86c5-900022d99dfc · outbound

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Learning Explainable Dense Reward Shapes via Bayesian Optimization Token-level direct preference optimization

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:13:54.647415Z

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Observation 343a2e57-0c8c-4d85-a8d1-03d312a63d27 · outbound

This paper cites An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning.

Learning Explainable Dense Reward Shapes via Bayesian Optimization An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T11:13:53.722905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcab4207-4662-4744-8371-55243852e5c2 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-16T11:13:53.728896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa4cbb0e-1b32-42ba-91b7-8c444343372b · outbound

This paper cites Secrets of RLHF in Large Language Models Part I: PPO.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Secrets of RLHF in Large Language Models Part I: PPO

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-16T11:13:53.734394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dc7d0db-9095-4dc4-bb4b-a1b3ed8c2c08 · outbound

This paper cites DPO Meets PPO: Reinforced Token Optimization for RLHF.

Learning Explainable Dense Reward Shapes via Bayesian Optimization DPO Meets PPO: Reinforced Token Optimization for RLHF

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-16T11:13:53.739536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d3e2307-1506-41eb-ae9e-126c16d9f2a9 · outbound

This paper cites @esa (Ref.

Learning Explainable Dense Reward Shapes via Bayesian Optimization @esa (Ref

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T11:13:53.744755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4531159c-9783-4a26-a212-d2345a7584ef · outbound

This paper cites an unresolved cited work.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T11:13:53.749803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1fc9a04-f739-4ead-bd27-43f969e7b283 · outbound

This paper cites reward shaping.

Learning Explainable Dense Reward Shapes via Bayesian Optimization reward shaping

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T11:13:53.754841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 923e16fe-d3d4-41ca-817b-2a72a70795c5 · inbound

SCAR: Shapley Credit Assignment for More Efficient RLHF cites this paper.

SCAR: Shapley Credit Assignment for More Efficient RLHF Learning Explainable Dense Reward Shapes via Bayesian Optimization

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:02:54.542906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.