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Paper Citation Record · LEDGER

Learning Performance-Improving Code Edits

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2302.07867.

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

pith.paper-citation-record.v1
2302.07867 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:45:13.303924Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T18:57:17.244549Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 054b612d-05da-45db-b2f2-4b94ef666713 · inbound

Self-Refine: Iterative Refinement with Self-Feedback cites this paper.

Self-Refine: Iterative Refinement with Self-Feedback Learning Performance-Improving Code Edits

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-10T20:47:39.676428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T20:47:39.476572Z digest=sha256:eaf0c60cf0fafed159c3853c5772dfb99e28bb370cc2f8ab8750931d493303f8

Observation e9ac91af-7ca4-4604-b985-43ea325cacfa · inbound

Teaching Large Language Models to Self-Debug cites this paper.

Teaching Large Language Models to Self-Debug Learning Performance-Improving Code Edits

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:24:24.973153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T06:24:24.607354Z digest=sha256:c010388608dc54720be6a4960ba10d6107cb3632457d786f7fb41955fdaeb20d

Observation 4ca47793-c37d-46ae-9e8d-47f4fa7292ff · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code Learning Performance-Improving Code Edits

Reference 282

Resolution
verified exact
arxiv_id, observed 2026-05-10T17:34:42.958286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:f5969e9df26129f8e20f8258629db0396c433fb72c2ef9d4ef46247883434702

Observation 5615ef06-36e1-43c2-89b6-edf48078a1c1 · inbound

AuPair: Golden Example Pairs for Code Repair cites this paper.

AuPair: Golden Example Pairs for Code Repair Learning Performance-Improving Code Edits

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-08T05:45:13.303924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:45:13.303924Z digest=sha256:5a7e2b01f5cd6cdbc8378bd1b858cd82bc21cacc580960dfa0ef9eb01f81a3cc

Observation ae1fa2d6-8fdb-48d9-8e30-51fbb49bd72a · inbound

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

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization Learning Performance-Improving Code Edits

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T12:50:27.836357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:50:27.836357Z digest=sha256:de0a7612b9b7e2bfab15c85a20d00d9e97c5baa8e290b6de355a87309b9965fa

Observation 47fb5084-dbd8-45a2-b8ed-92cef419bd58 · inbound

SimdBench: Benchmarking Large Language Models for SIMD-Intrinsic Code Generation cites this paper.

SimdBench: Benchmarking Large Language Models for SIMD-Intrinsic Code Generation Learning Performance-Improving Code Edits

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T15:43:39.195368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:43:39.195368Z digest=sha256:0ae73fb3e8ab12a8bc79d85ef7908a9a830a15ce4af2893e8f5c35656718a5af

Observation dbc077c0-82c1-4ef0-a18e-a5ecb52170f6 · inbound

Rethinking LLM-Based RTL Code Optimization Via Timing Logic Metamorphosis cites this paper.

Rethinking LLM-Based RTL Code Optimization Via Timing Logic Metamorphosis Learning Performance-Improving Code Edits

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T15:07:21.376914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:07:21.376914Z digest=sha256:02c6d87c76f31e12b8652ed2b82c88462882180b256f9e377895417fea3f201b

Observation b668c31b-1d49-4d8d-b04a-1f26549da0f2 · inbound

TRPrompt: Bootstrapping Query-Aware Prompt Optimization from Textual Rewards cites this paper.

TRPrompt: Bootstrapping Query-Aware Prompt Optimization from Textual Rewards Learning Performance-Improving Code Edits

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:46.584738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:46.584738Z digest=sha256:974022a3b21d33e167832f17439af4cee78bc9045bd2aedcfbd89130403d3e99

Observation 635cfb79-3d2c-41ee-b627-7c3768874d3d · inbound

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs cites this paper.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Learning Performance-Improving Code Edits

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T22:09:46.323775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:09:46.323775Z digest=sha256:06d3701bbdbd4497175b04b32bb87e63cd04533fe52b62f1dfed1c7e97211af9

Observation 50aebbd0-fd12-4d0d-ae52-b1aca81f09ef · inbound

SemOpt: LLM-Driven Code Optimization via Rule-Based Analysis cites this paper.

SemOpt: LLM-Driven Code Optimization via Rule-Based Analysis Learning Performance-Improving Code Edits

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-04T09:18:13.227901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:18:13.227901Z digest=sha256:53062b0d9ba946236e5c941b28bdb9b3c5d60a52cfddad7e504f4a5379f4b372

Observation efd2cfda-736e-4887-8d9f-3535fef7f597 · inbound

PerfCoder: Large Language Models for Interpretable Code Performance Optimization cites this paper.

PerfCoder: Large Language Models for Interpretable Code Performance Optimization Learning Performance-Improving Code Edits

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-16T22:43:38.159680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-16T22:42:01.520588Z digest=sha256:5429813eea7d084e028223511de28bdaacaaa8baf1379d977d5482fc7d2ae4a3

Observation ab01742f-e8fd-4d17-a3b5-502b5c69fc63 · inbound

Watts This Smell: A Comprehensive Taxonomy of Software Energy Smells cites this paper.

Watts This Smell: A Comprehensive Taxonomy of Software Energy Smells Learning Performance-Improving Code Edits

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:40:51.644576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T19:38:12.811390Z digest=sha256:756481c2fb8aa1a4fff9f88044617692626e6c38b11bbc66f29c33f3a070f6a2

Observation 0c6624c3-7fce-4c47-aaed-6143d2c99091 · inbound

Optimas: An Intelligent Analytics-Informed Generative AI Framework for Performance Optimization cites this paper.

Optimas: An Intelligent Analytics-Informed Generative AI Framework for Performance Optimization Learning Performance-Improving Code Edits

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T21:36:18.245997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T04:42:31.763225Z digest=sha256:6201aa48a643bb5f5c7da08f0086015642ab7d07cfc66ec0b9868e0cd9bd0334

Observation a46d3c29-8d5c-49e4-be3b-46440579a3f0 · inbound

CppPerf: An Automated Pipeline and Dataset for Performance-Improving C++ Commits cites this paper.

CppPerf: An Automated Pipeline and Dataset for Performance-Improving C++ Commits Learning Performance-Improving Code Edits

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:56:27.791913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T03:49:34.909838Z digest=sha256:381b8c5f738780def21f8b193c0da694c840c102a24b6f757258f5fcdc655770

Observation 6de310ae-1601-4049-9696-fd04dd6b489b · inbound

Chiseling Out Efficiency: Structured Skeleton Supervision for Efficient Code Generation cites this paper.

Chiseling Out Efficiency: Structured Skeleton Supervision for Efficient Code Generation Learning Performance-Improving Code Edits

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-02T18:57:17.246542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T21:43:14.839335Z digest=sha256:53e7efe3933822f1f6af2be198ac34e4e8c565f17818b6feae91818df217b22c

Observation a1536aef-4293-4f62-9700-6f594de0cd0d · inbound

JETO-Bench: A Reproducible Benchmark for Execution Time Improvement Patches in Java cites this paper.

JETO-Bench: A Reproducible Benchmark for Execution Time Improvement Patches in Java Learning Performance-Improving Code Edits

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-01T11:35:43.693002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T04:12:02.043499Z digest=sha256:59c01f075716ae0071cd5f97cef6884624520ceb011ae1957e46a1f234afbbb7

Observation b6b48c2f-8671-430c-9d0c-582f7327e946 · inbound

JETO-Bench: A Reproducible Benchmark for Execution Time Improvement Patches in Java cites this paper.

JETO-Bench: A Reproducible Benchmark for Execution Time Improvement Patches in Java Learning Performance-Improving Code Edits

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T09:24:35.688767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:24:35.688767Z digest=sha256:d6bf23c1e7d691328083ad97bc9b2005a6cee9f9825ec2f68490fd3481781979

Observation b16e2cd0-02fa-4307-a904-309e84d3f383 · inbound

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization cites this paper.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Learning Performance-Improving Code Edits

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T12:13:01.589724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:13:01.589724Z digest=sha256:16375a91b21f4abb03e4f8ec684002bae2a309acff1ed9ba05f60f55cba19ad1

Observation 75c7cab3-b94c-44e6-8d0f-fda08a4cd169 · inbound

Multi-Source and Cross-Scenario Strategy-Guided Code Optimization cites this paper.

Multi-Source and Cross-Scenario Strategy-Guided Code Optimization Learning Performance-Improving Code Edits

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T10:07:48.674038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:07:48.674038Z digest=sha256:b39488c22bed5577ee5cabd06fd0bda1c47a03119714d4c643b65b85a857caef

Observation 05535d48-e427-44af-b35c-e4acd4361a96 · inbound

RLPF: Reinforcement Learning from Performance Feedback for Code Generation cites this paper.

RLPF: Reinforcement Learning from Performance Feedback for Code Generation Learning Performance-Improving Code Edits

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-01T10:53:08.920912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:53:08.920912Z digest=sha256:19cbc835776f6d90c0c112c36a7cbacd3668db0f187f27584e5b744674f6b545