Paper Citation Record · LEDGER

StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 40 inbound Pith citation observations for arXiv:2402.01391.

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

pith.paper-citation-record.v1
2402.01391 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 40 of 40 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 40 of 40 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:39:09.585165Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 493ee7ce-f59d-4a86-87b1-2c8bae5e5a44 · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:18:06.739448Z

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 a6fe8069-4af6-42a9-b8a4-475274dab7e2 · inbound

MR-Adopt: Automatic Deduction of Input Transformation Function for Metamorphic Testing cites this paper.

MR-Adopt: Automatic Deduction of Input Transformation Function for Metamorphic Testing StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:18:31.317120Z

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 dae15ffe-6ac2-4676-832a-1328af38d70a · inbound

DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs cites this paper.

DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T17:05:15.099853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bbc4a7e-b8cc-4b9e-86d0-5d060bdf148d · inbound

Preference Optimization for Reasoning with Pseudo Feedback cites this paper.

Preference Optimization for Reasoning with Pseudo Feedback StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.560207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f1aaa35-7be3-47ad-a19d-409ca0333f57 · inbound

Trading Devil RL: Backdoor attack via Stock market, Bayesian Optimization and Reinforcement Learning cites this paper.

Trading Devil RL: Backdoor attack via Stock market, Bayesian Optimization and Reinforcement Learning StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:11.364925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d034c76-dece-451c-96ae-c69ff824e8a2 · inbound

Distilling Desired Comments for Enhanced Code Review with Large Language Models cites this paper.

Distilling Desired Comments for Enhanced Code Review with Large Language Models StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T23:28:51.280416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a48100f-4cdd-435d-8ebb-f657497a38e3 · inbound

ACECODER: Acing Coder RL via Automated Test-Case Synthesis cites this paper.

ACECODER: Acing Coder RL via Automated Test-Case Synthesis StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T14:53:49.686606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c172a57-6eb3-497a-9cd2-7e8bdbb84290 · inbound

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

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 164

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:41:23.489044Z

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 3403b63f-cad3-4b34-a036-c1401269f0ff · inbound

Themisto: Jupyter-Based Runtime Benchmark cites this paper.

Themisto: Jupyter-Based Runtime Benchmark StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T12:39:09.585165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea30a76c-e77e-40e4-b4e9-06aaaf99fb45 · inbound

Integrating Symbolic Execution into the Fine-Tuning of Code-Generating LLMs cites this paper.

Integrating Symbolic Execution into the Fine-Tuning of Code-Generating LLMs StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:01.054883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation cites this paper.

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 59474258-9f83-4571-bd6e-e0f7e94a8363 · inbound

SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution cites this paper.

SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:03.712435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bb10acb-174c-40f0-81d2-ae3bcbc23691 · inbound

Training Language Models to Generate Quality Code with Program Analysis Feedback cites this paper.

Training Language Models to Generate Quality Code with Program Analysis Feedback StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:04:58.439514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 457bd8db-44ed-4218-8753-a5053c9b1667 · inbound

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization cites this paper.

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:50:24.562628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4887bd46-fc39-4dd5-b312-36bb30a7e0e8 · inbound

CRScore++: Reinforcement Learning with Verifiable Tool and AI Feedback for Code Review cites this paper.

CRScore++: Reinforcement Learning with Verifiable Tool and AI Feedback for Code Review StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:13:28.236569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27ef6c89-a7dc-41ec-84a4-cefc545ee0fd · inbound

Improving LLM-Generated Code Quality with GRPO cites this paper.

Improving LLM-Generated Code Quality with GRPO StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:53.249493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14c18af4-3176-4b4b-a3dc-f9fdb4b4e445 · inbound

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning cites this paper.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:41:56.947388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c073181-d46a-45d0-908e-9845c553223b · inbound

SysTemp: A Multi-Agent System for Template-Based Generation of SysML v2 cites this paper.

SysTemp: A Multi-Agent System for Template-Based Generation of SysML v2 StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:10.403693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a511d87-afd3-4702-83c6-9d560eabbca4 · inbound

ParaStudent: Generating and Evaluating Realistic Student Code by Teaching LLMs to Struggle cites this paper.

ParaStudent: Generating and Evaluating Realistic Student Code by Teaching LLMs to Struggle StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:47.513069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e11cf801-ef24-4569-aa48-584de858c0cc · inbound

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge cites this paper.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:32:01.539614Z

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 1182d1ba-ef9a-4b20-a296-7ae0aea84ed5 · inbound

Repair-R1: Better Test Before Repair cites this paper.

Repair-R1: Better Test Before Repair StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T11:19:19.040967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 983fec0b-a38e-41d8-aba5-5a554a3e9642 · inbound

EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention cites this paper.

EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T20:56:50.471275Z

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 bbe70dc4-8e78-4d4e-88a8-b072a15b3a7e · inbound

AR$^2$: Adversarial Reinforcement Learning for Abstract Reasoning in Large Language Models cites this paper.

AR$^2$: Adversarial Reinforcement Learning for Abstract Reasoning in Large Language Models StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T15:17:13.749999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26cfeec9-3740-40b3-b940-d4cd569333d8 · inbound

Outcome-Based RL Provably Leads Transformers to Reason, but Only With the Right Data cites this paper.

Outcome-Based RL Provably Leads Transformers to Reason, but Only With the Right Data StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:26.930703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b21c6ace-e1f4-4553-8d50-6b21cb945071 · inbound

The Past Is Not Past: Memory-Enhanced Dynamic Reward Shaping cites this paper.

The Past Is Not Past: Memory-Enhanced Dynamic Reward Shaping StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-10T15:35:32.826796Z

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 9d74a1e8-b880-4c2e-bf55-8761bab3834c · inbound

Towards Enabling An Artificial Self-Construction Software Life-cycle via Autopoietic Architectures cites this paper.

Towards Enabling An Artificial Self-Construction Software Life-cycle via Autopoietic Architectures StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:45:23.468601Z

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 ae70bde9-1c87-4c90-aff3-4b911f425f8f · inbound

AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems cites this paper.

AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:11:53.660929Z

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 52d9851c-dd6b-438e-b8a0-86ca5b61a069 · inbound

WebGen-R1: Incentivizing Large Language Models to Generate Functional and Aesthetic Websites with Reinforcement Learning cites this paper.

WebGen-R1: Incentivizing Large Language Models to Generate Functional and Aesthetic Websites with Reinforcement Learning StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:19:46.690201Z

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 81432182-5677-4745-bd85-ee10950b3dc0 · inbound

BoostLoRA: Growing Effective Rank by Boosting Adapters cites this paper.

BoostLoRA: Growing Effective Rank by Boosting Adapters StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:06:27.696129Z

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 c8fd815c-4d19-4ff3-9422-04b899c04fca · inbound

Improving LLM Code Generation via Requirement-Aware Curriculum Reinforcement Learning cites this paper.

Improving LLM Code Generation via Requirement-Aware Curriculum Reinforcement Learning StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:46:25.357376Z

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 2836c5b3-c6a5-4726-9aa4-7c5e83278da3 · inbound

Beyond Execution: Static-Analysis Rewards and Hint-Conditioned Diffusion RL for Code Generation cites this paper.

Beyond Execution: Static-Analysis Rewards and Hint-Conditioned Diffusion RL for Code Generation StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:08:21.267584Z

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 f96a4253-1842-4991-b3d9-ad54b92d3e15 · inbound

Distilling Game Code World Model Generation into Lightweight Large Language Models cites this paper.

Distilling Game Code World Model Generation into Lightweight Large Language Models StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:04:44.656018Z

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 c3ffb77b-e6c1-4d7a-89fc-d70816408c83 · inbound

Efficient Post-training of LLMs for Code Generation With Offline Reinforcement Learning cites this paper.

Efficient Post-training of LLMs for Code Generation With Offline Reinforcement Learning StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T12:03:24.427771Z

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 819bc428-11f8-4236-a84a-3f8b2dd030b1 · inbound

Improving Small Language Models for Code Generation with Reinforcement Learning from Verification Feedback cites this paper.

Improving Small Language Models for Code Generation with Reinforcement Learning from Verification Feedback StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T14:53:32.268045Z

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 1e40299e-9fa3-4d54-a36f-a848fbcf333f · inbound

Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It cites this paper.

Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-27T13:10:55.862963Z

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 8b70a479-b2a7-40a8-b68c-7f5172e8d7ab · inbound

From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent Reasoning cites this paper.

From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent Reasoning StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-27T01:00:19.817888Z

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 a8185407-e9a5-4fd2-906a-d6a1d7386175 · inbound

MAGNIFIED: RL Fine-tuning of Multimodal Large Language Models for Motion Planning cites this paper.

MAGNIFIED: RL Fine-tuning of Multimodal Large Language Models for Motion Planning StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:56:35.169574Z

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 e5986654-96d5-413b-8126-212f1c8c847e · inbound

When Do Intrinsic Rewards Work for Code Reasoning? A Comprehensive Study cites this paper.

When Do Intrinsic Rewards Work for Code Reasoning? A Comprehensive Study StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T04:19:33.953898Z

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 396d5770-455f-4181-9e4a-5c07690b25d9 · inbound

DHRCL:Training Code LLMs with Dense Hierarchical Rewards and Curriculum Learning cites this paper.

DHRCL:Training Code LLMs with Dense Hierarchical Rewards and Curriculum Learning StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T15:29:53.759973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab486f05-3228-4ee3-9670-56dd3dd2c8af · inbound

DHRCL:Training Code LLMs with Dense Hierarchical Rewards and Curriculum Learning cites this paper.

DHRCL:Training Code LLMs with Dense Hierarchical Rewards and Curriculum Learning StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T04:27:42.958248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.