Paper Citation Record · LEDGER

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation

As of 18 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 5 inbound Pith citation observations for arXiv:2411.11053.

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

pith.paper-citation-record.v1
2411.11053 v5

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:05:29.108898Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:48:19.279468Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T17:03:41.285134Z

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy14
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f9b56943-7b50-4a88-9db6-2e955897a78d · outbound

This paper cites Finite-time analysis of the multiarmed bandit problem.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Finite-time analysis of the multiarmed bandit problem

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:29.675080Z

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 8b1cb552-da26-40e3-990d-3649e5b4f7d9 · outbound

This paper cites Program Synthesis with Large Language Models.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Program Synthesis with Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:28.966810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2257929e-544a-49b1-a7d0-f93afacb486b · outbound

This paper cites Code alpaca: An instruction-following llama model for code generation.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Code alpaca: An instruction-following llama model for code generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:28.971854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e522021a-5eb0-46ad-b807-85cf14dbf7ab · outbound

This paper cites Evaluating Large Language Models Trained on Code.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Evaluating Large Language Models Trained on Code

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:28.976572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed382b7f-cb42-4992-b12f-dce36fafeea6 · outbound

This paper cites Guibas, and Fei Xia.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Guibas, and Fei Xia

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:29.650250Z

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 1be832ca-6377-47c5-bd1f-dff0712ff42b · outbound

This paper cites Efficient selectivity and backup operators in monte-carlo tree search.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Efficient selectivity and backup operators in monte-carlo tree search

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:29.635286Z

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 09752a77-b3cc-46ba-87da-00de97b0fb60 · outbound

This paper cites Stepcoder: Improving code generation with reinforcement learning from compiler feedback.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Stepcoder: Improving code generation with reinforcement learning from compiler feedback

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:29.618937Z

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 664795d4-56d0-4d29-9d93-ef01aacdbae5 · outbound

This paper cites The Llama 3 Herd of Models.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation The Llama 3 Herd of Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:28.996721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 232b5e96-022b-4800-965c-f9f65c7dd729 · outbound

This paper cites Leetcode dataset, 2023.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Leetcode dataset, 2023

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:29.602225Z

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 4065be2f-e3e8-49a0-b8c1-8153f90514c4 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen - Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen - Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:29.006540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46e37fc9-dcb6-4f23-8bf9-4ff1f5710e9e · outbound

This paper cites GPT-4o System Card.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation GPT-4o System Card

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:29.011112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc7f1602-06be-4765-baa4-a54cbb3ae47d · outbound

This paper cites Spoc: Search-based pseudocode to code.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Spoc: Search-based pseudocode to code

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:29.576992Z

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 c819b563-fc82-4a93-9fc7-00dd073f5d6b · outbound

This paper cites Think Outside the Code: Brainstorming Boosts Large Language Models in Code Generation.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Think Outside the Code: Brainstorming Boosts Large Language Models in Code Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:29.020495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a77c76a0-3541-4f61-9ae2-907a7e273ce8 · outbound

This paper cites Rewriting the code: A simple method for large language model augmented code search.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Rewriting the code: A simple method for large language model augmented code search

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:29.561767Z

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 83cd53da-594e-4c09-a6d5-31aa2ca9a763 · outbound

This paper cites Rethinkmcts: Refining erroneous thoughts in monte carlo tree search for code generation.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Rethinkmcts: Refining erroneous thoughts in monte carlo tree search for code generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:29.030076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92644eb7-6ae2-4266-aee8-def0057bb92d · outbound

This paper cites Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:29.034676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15fb23fe-0d24-4827-a8bb-cc9e6447a192 · outbound

This paper cites On llms-driven synthetic data generation, curation, and evaluation: A survey.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation On llms-driven synthetic data generation, curation, and evaluation: A survey

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:29.536601Z

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 09fcdc86-f753-4a12-8cbc-8f92e44bff15 · outbound

This paper cites Wizardcoder: Empowering code large language models with evol-instruct.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Wizardcoder: Empowering code large language models with evol-instruct

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:29.521212Z

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 fb8342be-547b-4a69-a28f-ac9233adea5e · outbound

This paper cites Learning to reason with large language models.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Learning to reason with large language models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:29.505918Z

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 c8575780-4dab-4255-965b-e34c19ac229f · outbound

This paper cites an unresolved cited work.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:05:29.489666Z

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 9106461a-3e7a-4d1b-ba1f-ac02ff215ea5 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Gemma 2: Improving Open Language Models at a Practical Size

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:29.057045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f3eb3fb-287f-47b2-9d7d-352fb5802764 · outbound

This paper cites Qwen2.5: A party of foundation models, September 2024.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Qwen2.5: A party of foundation models, September 2024

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:29.061964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67204804-94cf-4e0e-b650-760c737c3216 · outbound

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

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Planning In Natural Language Improves LLM Search For Code Generation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:29.066439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d30cdb7-2926-4489-ab72-4b88801be22b · outbound

This paper cites Dolphcoder: Echo-locating code large language models with diverse and multi-objective instruction tuning.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Dolphcoder: Echo-locating code large language models with diverse and multi-objective instruction tuning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:29.464500Z

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 bba0d4ad-3fd8-4ebc-ab9b-1fc628b901dc · outbound

This paper cites Chi, Quoc V.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Chi, Quoc V

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:29.449426Z

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 fb26e110-2a42-47db-a974-0e5ab1b6b881 · outbound

This paper cites Magicoder: Empowering Code Generation with OSS-Instruct.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Magicoder: Empowering Code Generation with OSS-Instruct

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:29.080117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cf61a93-55d3-47ec-b697-d4ae3b5bb300 · outbound

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

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Tree of thoughts: Deliberate problem solving with large language models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:29.433984Z

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 ff0bc096-ab2f-4cc5-b0bb-dca4a0384444 · outbound

This paper cites Wavecoder: Widespread and versatile enhancement for code large language models by instruction tuning.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Wavecoder: Widespread and versatile enhancement for code large language models by instruction tuning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:29.417962Z

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 6289d1b0-481a-484b-99e3-60ccfa79acc8 · outbound

This paper cites ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:29.094385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e2b53af-e5d3-43fe-8e4b-905cbc9ff41c · outbound

This paper cites AFlow: Automating Agentic Workflow Generation.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation AFlow: Automating Agentic Workflow Generation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:29.099408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52372d96-06cd-4ed7-ab51-c52fcef90322 · outbound

This paper cites Llamafactory: Unified efficient fine-tuning of 100+ language models.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation Llamafactory: Unified efficient fine-tuning of 100+ language models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:29.104401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdbfc056-c390-40e3-9482-309888ae2140 · outbound

This paper cites write newline.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation write newline

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:29.108898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 9811e175-ff58-4e01-b4f2-be606f006e4d · inbound

LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information cites this paper.

LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-09T13:25:52.125266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4e0bbdc-3b41-41a8-bc9a-6fb8dc44f00b · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation

Reference 135

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:36:24.077397Z

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 aa59973a-0732-48a5-950b-b8e851d0ecd8 · inbound

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law cites this paper.

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation

Reference 131

Resolution: unresolved; no resolver link, observed 2026-08-16T00:48:19.279468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5dfa784-761a-46a5-8200-89b2137c2772 · inbound

ARIADNE: Agentic Reward-Informed Adaptive Decision Exploration via Blackboard-Driven MCTS for Competitive Program Generation cites this paper.

ARIADNE: Agentic Reward-Informed Adaptive Decision Exploration via Blackboard-Driven MCTS for Competitive Program Generation SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:55:42.689525Z

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 8ed23769-723d-4f8a-823d-ea79d5c3038e · inbound

AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents cites this paper.

AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T17:03:41.286754Z

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.