Paper Citation Record · LEDGER

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation

As of 17 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2505.10594.

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

pith.paper-citation-record.v1
2505.10594 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:22:19.152777Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T17:37:51.790000Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:21:10.768449Z

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy4
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6f3767cd-7e28-49cb-9d27-0ae7d4320b8f · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.006242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 344c348d-7791-4ddd-883d-324c3767f1c3 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.010922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ce294f3-647c-4e8f-9d44-6aae3aff4aa3 · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.015555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0160462c-2e07-4431-9a9d-735280441106 · outbound

This paper cites AlphaMath Almost Zero: Process Supervision without Process.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation AlphaMath Almost Zero: Process Supervision without Process

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.020587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e219a06-2a95-42f5-a6fe-d0d55e9030d0 · outbound

This paper cites LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.025191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 437b3c6f-89cd-45ab-a0dc-8a5c7fca21eb · outbound

This paper cites WizardCoder: Empowering Code Large Language Models with Evol-Instruct.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation WizardCoder: Empowering Code Large Language Models with Evol-Instruct

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.030180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa550ed7-92f5-4c22-8f44-50bed3ee3925 · outbound

This paper cites WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.034292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a896f87-f4d6-48c1-8b0f-5ecb02873cd8 · outbound

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

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation Magicoder: Empowering Code Generation with OSS-Instruct

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.038663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44bd3ffe-f9ed-4004-ad79-63854f7f6591 · outbound

This paper cites StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.042890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5643fa06-d819-4d27-b1a1-861b482e74a8 · outbound

This paper cites Execution-based Code Generation using Deep Reinforcement Learning.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation Execution-based Code Generation using Deep Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.047158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5bb4075-ad1b-40fd-b894-284cdbc164f6 · outbound

This paper cites RLTF: Reinforcement Learning from Unit Test Feedback.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation RLTF: Reinforcement Learning from Unit Test Feedback

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.051890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce7385d9-2222-4810-9705-ac8a8d97df30 · outbound

This paper cites Qwen2.5-Coder Technical Report.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation Qwen2.5-Coder Technical Report

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.058568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51f43649-e44e-4600-bad7-db1d990ba2f3 · outbound

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

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.063467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49f79392-dd48-468a-a2a1-f6db8d99afdd · outbound

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

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation Code Llama: Open Foundation Models for Code

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.068428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 119594e4-b6b7-493c-a32f-87745aeb9f8e · outbound

This paper cites The llama 3 herd of models,.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation The llama 3 herd of models,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.073677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af981f6a-d750-4d4b-b36c-f02e582510f8 · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation StarCoder 2 and The Stack v2: The Next Generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.084505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb0f0e8f-8a17-40f3-8e18-fc2d25eadc06 · outbound

This paper cites Compilable Neural Code Generation with Compiler Feedback.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation Compilable Neural Code Generation with Compiler Feedback

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.089740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69dae1c7-ab8c-4e3f-80ad-9546c12b0e14 · outbound

This paper cites CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.094558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bedd0d8-c3b0-47e7-9bdc-1e3bdded469b · outbound

This paper cites CodeDPO: Aligning Code Models with Self Generated and Verified Source Code.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation CodeDPO: Aligning Code Models with Self Generated and Verified Source Code

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.100005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc6f4f77-45ab-4ab9-a7fd-029aa5c20698 · outbound

This paper cites Learning to reason with large language models.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation Learning to reason with large language models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:19.650894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ad362d39-9c82-4b3c-b727-12467efd3026 · outbound

This paper cites Qwq-32b-preview.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation Qwq-32b-preview

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:19.635440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 05764619-47b7-4e38-9e62-f893be94460c · outbound

This paper cites Process Supervision-Guided Policy Optimization for Code Generation.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation Process Supervision-Guided Policy Optimization for Code Generation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.113985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0a6640d-1baa-48c2-9be6-48915f57311c · outbound

This paper cites o1-Coder: an o1 Replication for Coding.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation o1-Coder: an o1 Replication for Coding

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.119076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59467b44-aa29-435c-bded-98d44f225b1f · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.124156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac7b7bf2-aa52-44e2-a622-8c2760e801fc · outbound

This paper cites Step-dpo: Step-wise preference optimization for long-chain reasoning of llms,.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation Step-dpo: Step-wise preference optimization for long-chain reasoning of llms,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:19.619608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ef2701fa-8b87-405e-9596-b2a6a2e94294 · outbound

This paper cites DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.139788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 760fa94c-8fe6-4107-ba6b-d26cc0667127 · outbound

This paper cites Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.134458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e25c6fda-9932-4fa8-a1d8-14274e922e93 · outbound

This paper cites Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.144150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8b1647e-4183-4857-aeb0-3793662e2154 · outbound

This paper cites an unresolved cited work.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:22:19.602022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 11324b7e-7c75-4a5f-902e-28698d6d1270 · outbound

This paper cites intent":.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation intent":

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:19.586212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c0000d0d-d641-4e14-b532-3e8b8510e1ad · outbound

This paper cites The Llama 3 Herd of Models.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation The Llama 3 Herd of Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:19.079364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 48e8e00a-c10c-4ad6-87d5-ebc1e200d6e8 · inbound

Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code cites this paper.

Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:21:10.770401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.