Paper Citation Record · LEDGER

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution

As of 7 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2506.12728.

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

pith.paper-citation-record.v1
2506.12728 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:49:36.194123Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:13:01.236121Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

verified exact1
verified fuzzy13
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a3f5e1f2-07c5-413f-b514-b58b3ffa8cfe · outbound

This paper cites an unresolved cited work.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:49:39.362261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b04d7347-8b3a-4f69-b149-a0198ae338cf · outbound

This paper cites Large language models for software engineering: A systematic literature review[J].

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Large language models for software engineering: A systematic literature review[J]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:39.214121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 727d9d79-577b-4f21-bc1e-c5a7dda46d82 · outbound

This paper cites Software testing with large language models: Survey, landscape, and vision[J].

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Software testing with large language models: Survey, landscape, and vision[J]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:39.050603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2e364cb1-de29-4d49-84f4-1b7c54b1b34f · outbound

This paper cites DeepSeek-V3 Technical Report.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution DeepSeek-V3 Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:32.443911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 084e6028-bf51-4543-bc4a-d2bacf6b507b · outbound

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

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:32.598281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11bae016-b600-4909-8608-773efd5b1f5b · outbound

This paper cites Code Llama: Open Foundation Models for Code.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Code Llama: Open Foundation Models for Code

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:32.634419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 439e8265-1dc0-4352-8220-e8b6908b13c6 · outbound

This paper cites An Empirical Study on the Code Refactoring Capability of Large Language Models.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution An Empirical Study on the Code Refactoring Capability of Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:32.723197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2876b8f-598f-4e32-991b-2172931ebfb8 · outbound

This paper cites an unresolved cited work.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:49:38.905020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4bd08387-6570-41de-ae70-0879edb369f2 · outbound

This paper cites an unresolved cited work.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:49:38.795769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3b46656a-b300-4914-99ed-0374aa3172bf · outbound

This paper cites The Llama 3 Herd of Models.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution The Llama 3 Herd of Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:33.035023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab4c1e4f-4cec-4e60-bf96-970011da2db6 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:33.128640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7af1aebc-6709-4dd3-a8ed-bbfd388d3f02 · outbound

This paper cites Chain-of-thought in neural code gener- ation: From and for lightweight language models[J].

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Chain-of-thought in neural code gener- ation: From and for lightweight language models[J]

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:38.653880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1b640a4b-4d54-4cf8-8ee1-ae2b14d108d5 · outbound

This paper cites Structured chain-of-thought prompting for code generation[J].

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Structured chain-of-thought prompting for code generation[J]

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:38.491408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c3601886-f1bd-4533-bb5e-a39f3a68cfa0 · outbound

This paper cites Recursive introspection: Teaching language model agents how to self-improve[J].

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Recursive introspection: Teaching language model agents how to self-improve[J]

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:38.361017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 42f418bb-9359-4ca8-a4dc-db0587dc668e · outbound

This paper cites RealCritic: Towards Effectiveness-Driven Evaluation of Language Model Critiques.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution RealCritic: Towards Effectiveness-Driven Evaluation of Language Model Critiques

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:33.542633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8dc5062-e58a-487f-b9fb-ed3066c4ee83 · outbound

This paper cites Instruction tuning for large language models: A survey[J].

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Instruction tuning for large language models: A survey[J]

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:33.594874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7010fb60-e203-4cb0-9de3-d2149442c714 · outbound

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

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:33.689845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68767acb-d613-48dc-8040-06c001592b38 · outbound

This paper cites Rest-mcts*: Llm self-training via process reward guided tree search[J].

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Rest-mcts*: Llm self-training via process reward guided tree search[J]

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:38.191705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 59d93812-8bd4-4b1c-8421-7c8c5550685c · outbound

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

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:34.039982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ceb9ecb3-8dde-45d3-940b-67aae2af0558 · outbound

This paper cites Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:34.130943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36a102e8-b41a-4e80-a14f-5d60920718b1 · outbound

This paper cites Qwen2.5-Coder Technical Report.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Qwen2.5-Coder Technical Report

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:34.246060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 446c9324-f0d0-4177-bda7-6bb2aeb93d18 · outbound

This paper cites Lingma SWE-GPT: An open development- process-centric language model for automated software improvement.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Lingma SWE-GPT: An open development- process-centric language model for automated software improvement

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:38.053833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 086b29ee-4ca9-48e9-8217-9e66e806fdc8 · outbound

This paper cites Swe-agent: Agent-computer interfaces enable automated software engineering[J].

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Swe-agent: Agent-computer interfaces enable automated software engineering[J]

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:37.888583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7dbd0a19-0c5f-46b6-b891-e4bb2b8f03e5 · outbound

This paper cites SoRFT: Issue Resolving with Subtask-oriented Reinforced Fine-Tuning.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution SoRFT: Issue Resolving with Subtask-oriented Reinforced Fine-Tuning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:34.508796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd39c5a9-98ce-4c11-80fc-d0080fab6a6b · outbound

This paper cites SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:34.669625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8c7c5cd-7f9d-4b7d-93b6-5aefafe61eb3 · outbound

This paper cites Training Software Engineering Agents and Verifiers with SWE-Gym.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Training Software Engineering Agents and Verifiers with SWE-Gym

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:34.793471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 304004a8-5abd-4589-9031-288696c97741 · outbound

This paper cites SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:34.867693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7396434-deae-47ec-a471-9e04d28fe1ee · outbound

This paper cites RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation[J].

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation[J]

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:34.988070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f60fe8d7-79ea-4af3-b293-db136d1d1a8c · outbound

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

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Agentless: Demystifying LLM-based Software Engineering Agents

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:35.090793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e07fb15-f3f7-45e2-b4e6-a840ac9ab688 · outbound

This paper cites Rest-mcts: Llm self-training via process reward guided tree search[J].

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Rest-mcts: Llm self-training via process reward guided tree search[J]

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:37.702231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 31f1aaaa-86d0-4b54-ab5f-612c82a80906 · outbound

This paper cites Swe-agent: Agent-computer interfaces enable automated software engineering.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Swe-agent: Agent-computer interfaces enable automated software engineering

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:37.501435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 17f7435c-e95b-405b-970e-ee60d809295d · outbound

This paper cites Openhands: An open platform for ai software developers as generalist agents.//The Thirteenth International Conference on Learning Representations.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Openhands: An open platform for ai software developers as generalist agents.//The Thirteenth International Conference on Learning Representations

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:37.347064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cb77cc7e-f70f-44cb-92d3-20305b43d89f · outbound

This paper cites Repository Structure-Aware Training Makes SLMs Better Issue Resolver.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Repository Structure-Aware Training Makes SLMs Better Issue Resolver

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:49:36.476965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 43e97a3c-ab94-43da-959b-312333852b63 · outbound

This paper cites Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:35.536554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b40f663-46a7-429a-ae41-d907f88edb21 · outbound

This paper cites OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:35.646586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02e4352e-6e95-453e-bf01-72a906a47bcc · outbound

This paper cites Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:35.734975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59767ec8-0ea4-49d7-934b-629c4656807e · outbound

This paper cites A Survey on Data Synthesis and Augmentation for Large Language Models.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution A Survey on Data Synthesis and Augmentation for Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:35.791398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 788d0b7e-50ec-4b3d-abd9-57c5b5f5784c · outbound

This paper cites Impact of code language models on automated program repair[C]//2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE).

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Impact of code language models on automated program repair[C]//2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:35.857930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2180bd36-4cf5-4b4a-9bdb-32ba3fe129a3 · outbound

This paper cites An empirical evaluation of using large language models for automated unit test generation[J].

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution An empirical evaluation of using large language models for automated unit test generation[J]

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:37.210981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c38d15e0-97a0-419d-9bf3-8c5af6c82729 · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:36.040614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a14f16df-bf3d-4550-b9f9-0bb4a12efbb7 · outbound

This paper cites Lora: Low-rank adaptation of large language models[J].

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Lora: Low-rank adaptation of large language models[J]

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:37.083461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 79f16ac7-51a7-491b-a681-9f29f3eba136 · outbound

This paper cites A Comparative Study between Full-Parameter and LoRA-based Fine-Tuning on Chinese Instruction Data for Instruction Following Large Language Model.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution A Comparative Study between Full-Parameter and LoRA-based Fine-Tuning on Chinese Instruction Data for Instruction Following Large Language Model

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:36.194123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e9c529d4-39c3-40e0-88fe-4dfdd2219e79 · inbound

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair cites this paper.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T06:13:01.236121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.