Paper Citation Record · LEDGER

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs

As of 10 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 2 inbound Pith citation observations for arXiv:2508.07434.

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

pith.paper-citation-record.v1
2508.07434 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:09:46.562592Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T10:54:54.558241Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T10:58:14.539642Z

Reference resolution

57 of 57 outbound references displayed

verified exact0
verified fuzzy16
unresolved41
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7dba50c2-338e-44cc-9bb5-6b51c1d6ef0d · outbound

This paper cites GPT-4 Technical Report.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.286452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 729300db-ddd9-4184-b728-4c91f06656b7 · outbound

This paper cites Openhands: A n open platform for AI software developers as generalist agents.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Openhands: A n open platform for AI software developers as generalist agents

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:09:47.600601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e3438dd7-8c5c-4195-b451-3770da16f3a9 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Evaluating Large Language Models Trained on Code

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.297501Z

Source-reported events for the cited work

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Observation f6b919bd-77b7-47bb-8b7c-d14029700ffc · outbound

This paper cites Program Synthesis with Large Language Models.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Program Synthesis with Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.302831Z

Source-reported events for the cited work

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Observation 554356cd-3e6a-4c0d-919d-823fd2713447 · outbound

This paper cites Less training, more repairing please: R evisiting automated program repair via zero-shot learning.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Less training, more repairing please: R evisiting automated program repair via zero-shot learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:09:47.585761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9f9654c3-e677-4bf9-8f1c-4840ff8fa351 · outbound

This paper cites Impact of code language models on automated program repair.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Impact of code language models on automated program repair

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:09:47.570788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c5b26618-624b-4c73-ae40-6c4b57213be5 · outbound

This paper cites Inferfix: E nd-to-end program repair with LLM s.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Inferfix: E nd-to-end program repair with LLM s

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:09:47.554432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 635cfb79-3d2c-41ee-b627-7c3768874d3d · outbound

This paper cites Learning Performance-Improving Code Edits.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Learning Performance-Improving Code Edits

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.323775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc33c1c9-2b9f-4797-978a-b6af6ad0a5bc · outbound

This paper cites Large Language Models for Compiler Optimization.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Large Language Models for Compiler Optimization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.328597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f63cd078-23f0-47d5-ae2b-bc77dcebcd72 · outbound

This paper cites Tree of thoughts: D eliberate problem solving with large language models.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Tree of thoughts: D eliberate problem solving with large language models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:09:47.536801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation be11a8e5-52af-49c7-8aa1-0af6b1c0f252 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.338954Z

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Observation 84845823-462d-4b71-adb7-056d11f47575 · outbound

This paper cites Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.343818Z

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Observation 22076380-86b1-435c-9ce2-0aebe7c31ed4 · outbound

This paper cites Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.348559Z

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Observation f62a5e84-cd25-49b3-838a-0db214bd6c67 · outbound

This paper cites Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.354061Z

Source-reported events for the cited work

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Observation fadd8d32-6e73-48cb-84c1-7b9dd454e1ff · outbound

This paper cites Let's verify step by step.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Let's verify step by step

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:09:47.522088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e5f8e6a8-aeb2-460a-8468-f03655f8a426 · outbound

This paper cites Using anytime algorithms in intelligent systems.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Using anytime algorithms in intelligent systems

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:09:47.507122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e4b4d4fd-d855-419b-bcc6-841a31dfd9b1 · outbound

This paper cites CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.368200Z

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Observation 128fcbf7-3888-40bf-bb96-8ca28f1c4ab4 · outbound

This paper cites Scattered Forest Search: Smarter Code Space Exploration with LLMs.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Scattered Forest Search: Smarter Code Space Exploration with LLMs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.374893Z

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Observation 3e7c7666-4e82-4b45-b29b-0b4165eb7439 · outbound

This paper cites What Makes Large Language Models Reason in (Multi-Turn) Code Generation?.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs What Makes Large Language Models Reason in (Multi-Turn) Code Generation?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.379986Z

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Observation 0b6471bc-d9c8-464b-8914-7f4d1d361cde · outbound

This paper cites Agentless: Demystifying LLM-based Software Engineering Agents.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Agentless: Demystifying LLM-based Software Engineering Agents

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.385268Z

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Observation 70354d8b-f5e8-4b42-97b8-6ff12d4096fc · outbound

This paper cites Is Self-Repair a Silver Bullet for Code Generation?.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Is Self-Repair a Silver Bullet for Code Generation?

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.390474Z

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Observation 1daf6d9f-f489-4564-8362-245540113197 · outbound

This paper cites Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.395536Z

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Observation 01558576-367b-4284-b271-d980d69ad7ce · outbound

This paper cites RethinkMCTS : R efining erroneous thoughts in monte carlo tree search for code generation.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs RethinkMCTS : R efining erroneous thoughts in monte carlo tree search for code generation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.399883Z

Source-reported events for the cited work

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Observation 248089c0-3e20-41c5-bb02-5032ab573b68 · outbound

This paper cites Artificial Intelligence: A Modern Approach.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Artificial Intelligence: A Modern Approach

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:09:47.492911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2a838034-9db4-4ed8-94e3-4f0691c0f2a4 · outbound

This paper cites An Introduction to Genetic Algorithms.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs An Introduction to Genetic Algorithms

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:09:47.478002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dd839d15-b014-4c9d-8050-9a0b7585881e · outbound

This paper cites Rank analysis of incomplete block designs: I.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Rank analysis of incomplete block designs: I

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.413705Z

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Observation 21f0e52b-0251-4d10-9b74-16b4ff93ed32 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.418362Z

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Observation a1db59e0-b932-48fc-bd81-c713a38520f9 · outbound

This paper cites TACO: Topics in Algorithmic COde generation dataset.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs TACO: Topics in Algorithmic COde generation dataset

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.423661Z

Source-reported events for the cited work

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Observation 4375161a-494f-499c-87c4-02c9b7d1c412 · outbound

This paper cites General local search methods.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs General local search methods

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:09:47.453737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ba761c82-2742-4e55-9535-f21adb5bad26 · outbound

This paper cites Policy Filtration for RLHF to Mitigate Noise in Reward Models.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Policy Filtration for RLHF to Mitigate Noise in Reward Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.433018Z

Source-reported events for the cited work

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Observation f86c948d-a7f0-485a-b715-10f5f230b717 · outbound

This paper cites Training language models to follow instructions with human feedback.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Training language models to follow instructions with human feedback

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:09:47.437800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7b5312fa-4c6c-4e8f-a20a-7d63bfcb1dc7 · outbound

This paper cites Iterated local search: F ramework and applications.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Iterated local search: F ramework and applications

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:09:47.418912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 06ce58c5-aa98-4c66-b303-560a7be1d3fd · outbound

This paper cites Course of Theoretical Physics.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Course of Theoretical Physics

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:09:47.403877Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c8d8a287-7cff-4ed2-af20-ea17be86bce0 · outbound

This paper cites Simulated annealing: F rom basics to applications.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Simulated annealing: F rom basics to applications

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:09:47.387834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9cd941a5-7c51-4a54-af53-688159c04ad6 · outbound

This paper cites Measuring Coding Challenge Competence With APPS.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Measuring Coding Challenge Competence With APPS

Reference 35

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Observation fed6ee51-7eb3-48cf-bb47-566e73e7e7c9 · outbound

This paper cites TRL : Transformer reinforcement learning.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs TRL : Transformer reinforcement learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:09:47.371354Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9e24064b-a19d-4e79-95ad-59d55fbcdff4 · outbound

This paper cites Reasoning with Language Model is Planning with World Model.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Reasoning with Language Model is Planning with World Model

Reference 37

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Observation 84e13dcf-c0ca-4438-8094-e81927529126 · outbound

This paper cites Reflexion: L anguage agents with verbal reinforcement learning.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Reflexion: L anguage agents with verbal reinforcement learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:09:47.356001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e4819110-3a3e-42f0-a5e3-247f8c70cdf4 · outbound

This paper cites Planning In Natural Language Improves LLM Search For Code Generation.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Planning In Natural Language Improves LLM Search For Code Generation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.476577Z

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Observation 1988d942-00da-4538-9f1a-f66590333066 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Training Verifiers to Solve Math Word Problems

Reference 40

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Observation 17a017c2-4a37-4946-8c7f-74c9554f0182 · outbound

This paper cites Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.486332Z

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Observation de768fc2-29dc-496b-a8e5-3320719f5fed · outbound

This paper cites Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.491142Z

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Observation ad2cf4a6-4514-4084-8741-0a36004e956e · outbound

This paper cites CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.495797Z

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Observation 5694f089-1000-4f3c-8212-63184f1e1131 · outbound

This paper cites PanGu-Coder: Program Synthesis with Function-Level Language Modeling.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs PanGu-Coder: Program Synthesis with Function-Level Language Modeling

Reference 44

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Observation a84ee40d-19f9-4ad5-998c-9987e17e9902 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.504731Z

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Observation 2278c954-4689-44af-b7b0-99984abbe5da · outbound

This paper cites Qwen2.5-Coder Technical Report.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Qwen2.5-Coder Technical Report

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.509739Z

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Observation 78515099-a3ab-4044-832b-423e53ada154 · outbound

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

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.514342Z

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Observation 138b9b54-5a36-400d-9835-0d97c8b54655 · outbound

This paper cites Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.518940Z

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Observation 97a66095-5eaa-4988-950c-c688b2e02cc1 · outbound

This paper cites CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.523430Z

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Observation 3e9c2c79-849a-4d6e-bda5-edaa726a7580 · outbound

This paper cites SWE-bench-java: A GitHub Issue Resolving Benchmark for Java.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs SWE-bench-java: A GitHub Issue Resolving Benchmark for Java

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.528699Z

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Observation fc704216-e457-4e35-b9ae-a245b4274197 · outbound

This paper cites RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Reference 51

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Observation 954858a4-2436-4a32-8a10-662f822aeaa5 · outbound

This paper cites The Lessons of Developing Process Reward Models in Mathematical Reasoning.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs The Lessons of Developing Process Reward Models in Mathematical Reasoning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.538453Z

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Unavailable: canonical work link unavailable.

Observation a1bcfbea-21e6-46dd-96b8-9aa36ae0c15b · outbound

This paper cites Enhancing LLM Reasoning with Reward-guided Tree Search.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Enhancing LLM Reasoning with Reward-guided Tree Search

Reference 53

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Observation 7a4484db-d459-44f1-b5f9-e9e0afa93d63 · outbound

This paper cites Generative Reward Models.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Generative Reward Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.548724Z

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Observation 48faffc0-1935-46f9-a8d2-a314fba9378f · outbound

This paper cites LLM Critics Help Catch LLM Bugs.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs LLM Critics Help Catch LLM Bugs

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.553605Z

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Observation 418bb1bb-72bd-43d4-95ae-8614a08c161c · outbound

This paper cites Generative Verifiers: Reward Modeling as Next-Token Prediction.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Generative Verifiers: Reward Modeling as Next-Token Prediction

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.557994Z

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Observation 39c87926-b511-4da3-940d-bf9cb662250f · outbound

This paper cites Rm-r1: Reward modeling as reasoning.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Rm-r1: Reward modeling as reasoning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.562592Z

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Pith citing papers

Observation 12c0d974-183c-4e46-8a98-88d9002d58cf · inbound

AdverMCTS: Combating Pseudo-Correctness in Code Generation via Adversarial Monte Carlo Tree Search cites this paper.

AdverMCTS: Combating Pseudo-Correctness in Code Generation via Adversarial Monte Carlo Tree Search Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:40:57.630376Z

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Observation 8f8f53c8-5c95-48a3-bea3-182e33473d17 · inbound

Code as Agent Harness cites this paper.

Code as Agent Harness Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs

Reference 164

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.541307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.