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Paper Citation Record · LEDGER

RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation

As of 12 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 3 inbound Pith citation observations for arXiv:2502.09183.

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

pith.paper-citation-record.v1
2502.09183 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:26:30.942613Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:11:20.669109Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T08:17:37.631562Z

Reference resolution

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da5c1bd5-1013-45a8-be51-838bf6738e9c · outbound

This paper cites an unresolved cited work.

RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T22:26:31.091579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T22:26:30.915486Z digest=sha256:b4295108dcec003461002e5dfa19a38797494094022586dd57b9d7bedeed53d1

Observation b3102959-6692-4c7f-b603-8d234d6d3b6c · outbound

This paper cites an unresolved cited work.

RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T22:26:31.080689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T22:26:30.919395Z digest=sha256:455033a8974c1f46997a7504cbe38cb3fd06e2e28c7698da4d6e6ec283e21f37

Observation 9a9fd269-d187-48a4-9fea-f0635113fada · outbound

This paper cites BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T22:26:30.911183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:26:30.911183Z digest=sha256:20d044096a14abe44d6b6b2466c8a6cdaa79f332d24ad7b7062f795bda719bb1

Observation 45078baf-9259-42f6-919c-d319a81c2a2d · outbound

This paper cites an unresolved cited work.

RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T22:26:31.061994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T22:26:30.926356Z digest=sha256:48c2706533980de686b7d012dc5d48862b4d644c67487d4a85fd644a5dbb916b

Observation e69eb2e1-c1d8-48c6-8a54-de1e1793ccae · outbound

This paper cites an unresolved cited work.

RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T22:26:31.051639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T22:26:30.929701Z digest=sha256:58123bfb127ff0ff2ecc0df329731128cfbcfc97f58832868f2eff2e17bfea4e

Observation 9e46b81b-56a9-4f93-be68-eb62fb2312f5 · outbound

This paper cites an unresolved cited work.

RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T22:26:31.071496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T22:26:30.922810Z digest=sha256:4e41ac341fb0648251cffe62d1e41402e77ca12774df842af34258b3e7d079cd

Observation 1e7790ea-37fc-4315-a4bf-a3d9ba77b357 · outbound

This paper cites an unresolved cited work.

RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T22:26:31.041551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T22:26:30.933089Z digest=sha256:3b841010988b33fc62f9ee1db34239e50a7a87d03b0e54731a1abedabd8c20f5

Observation f9906167-2d6c-49eb-a221-963c08f251ec · outbound

This paper cites an unresolved cited work.

RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T22:26:31.029920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T22:26:30.936414Z digest=sha256:874a85ccaf6bd91e7752b9d508f8516f3e37ba5cfaea722fb2215bdce82a0993

Observation d01427a4-4981-4fa2-9be6-5816eb0c3d16 · outbound

This paper cites The executive results of the code interpreter and suggestions for improvement are then sent to the AI assistant, and ask AI to generate better responses.

RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation The executive results of the code interpreter and suggestions for improvement are then sent to the AI assistant, and ask AI to generate better responses

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T22:26:31.018696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T22:26:30.939531Z digest=sha256:cf9804213bfa64dd6389b65dba2d01f6fbc55dd367255740bbef6d8b605e0060

Observation ac34a5bb-9bda-420f-8766-11ee57acd390 · outbound

This paper cites **Note**: You must focus on whether the code conforms to the instruction and the correctness of the code.

RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation **Note**: You must focus on whether the code conforms to the instruction and the correctness of the code

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T22:26:31.006104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T22:26:30.942613Z digest=sha256:5ead39ee2e764f677076df2fd14b590ee184d9d2d63dadf61ac8638b603cec91

Observation 7cef4583-7443-418c-8b58-aede24d38fee · outbound

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

RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation Code Llama: Open Foundation Models for Code

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T22:26:30.902296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:26:30.902296Z digest=sha256:828171899235bf113f65dc0b7f0670ecb9c33a5b83288ad29df58526aef7b37b

Observation 38d016a1-d3e2-4dbc-bd5b-f3f73f869447 · outbound

This paper cites InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct.

RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T22:26:30.907290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:26:30.907290Z digest=sha256:0348d98b0035e26a1fe7581149e973f13dada8296228d11f77e272d88f1651e2

Pith citing papers

Observation 15184a7e-b9ef-4a12-bf0a-d4136671b766 · inbound

OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique cites this paper.

OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T18:11:20.669109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:20.669109Z digest=sha256:1aee1c3d6a924a2a50493830df12d21942e46a489d2ecdfa458c7d17316894d7

Observation 3d73353c-3220-4953-9140-324f45194dad · inbound

AutoCodeBench: Large Language Models are Automatic Code Benchmark Generators cites this paper.

AutoCodeBench: Large Language Models are Automatic Code Benchmark Generators RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T21:18:28.851648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:18:28.851648Z digest=sha256:962d7f0f0817440450882da6e3af828f5700209b34d890b6a825f2cb449aa7d4

Observation 658ccdbc-c5cf-4513-a04d-4726a6b78b76 · inbound

Bridging the Gap between User Intent and LLM: A Requirement Alignment Approach for Code Generation cites this paper.

Bridging the Gap between User Intent and LLM: A Requirement Alignment Approach for Code Generation RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:17:37.632804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T08:13:43.804756Z digest=sha256:390f639ac0e2427f8a0aa3f3021d3feb3611272fa3b5ced9c52ab1ea7a8c1bb8