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Paper Citation Record · LEDGER

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models

As of 17 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 2 inbound Pith citation observations for arXiv:2505.02931.

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

pith.paper-citation-record.v1
2505.02931 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:45:04.970385Z

measured 69 of 69 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T05:25:16.024670Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T05:29:48.446947Z

Reference resolution

67 of 67 outbound references displayed

  • verified exact4
  • verified fuzzy8
  • unresolved50
  • parse uncertain0
  • malformed identifier5
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3909551f-00cb-45b6-b6b7-6a58ad9c6a68 · outbound

This paper cites an unresolved cited work.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Unresolved cited work

Reference 1

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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.

source=pdf_text observed=2026-08-16T00:45:04.696532Z digest=sha256:8af3b09e57e881a1fa4b36048d6880981a685b3234dd2d77d4da7e233fabb10c

Observation 567061cb-46c1-4d90-b5a6-4085411e9fbd · outbound

This paper cites The Debugging Mindset: Understanding the Psychol- ogy of Learning Strategies Leads to Effective Problem-Solving Skills.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models The Debugging Mindset: Understanding the Psychol- ogy of Learning Strategies Leads to Effective Problem-Solving Skills

Reference 2

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:45:04.701676Z digest=sha256:e99ff20b5fa4a49049336fbd7c6bab8eda99cad7234c2945beb46ecc58cb8941

Observation 4d5bdfbf-80a6-47ee-87c7-bbfd317e5424 · outbound

This paper cites AVATAR: Fixing Semantic Bugs with Fix Patterns of Static Analysis Violations.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models AVATAR: Fixing Semantic Bugs with Fix Patterns of Static Analysis Violations

Reference 3

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source=pdf_text observed=2026-08-16T00:45:04.706003Z digest=sha256:9469a240e5bd5ad6a4c2c867a2fde031b8282de59599206ad247850cc2314cbf

Observation 8c87999c-33b2-476d-872b-8df95923f921 · outbound

This paper cites TBar: Revisiting Template-Based Automated Program Repair.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models TBar: Revisiting Template-Based Automated Program Repair

Reference 4

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source=pdf_text observed=2026-08-16T00:45:04.710444Z digest=sha256:99c80d92cc5cac60011f5f0c6ed0672ed61b891e52ac0e4ceeadf38d540daacd

Observation d155b504-860a-4b3d-9078-54be6b7ce67a · outbound

This paper cites FixMiner: Mining Relevant Fix Patterns for Auto- mated Program Repair.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models FixMiner: Mining Relevant Fix Patterns for Auto- mated Program Repair

Reference 5

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source=pdf_text observed=2026-08-16T00:45:04.715425Z digest=sha256:8d3b1a4adb45a7ec85e46f11c675803abadee56ec5b72273efba05f2d96054ed

Observation fc8dfaf5-bc04-41be-970d-ef7335cbdca3 · outbound

This paper cites ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming

Reference 6

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source=pdf_text observed=2026-08-16T00:45:04.719572Z digest=sha256:d9ee0facac381c44ed74f89e5ae503acdd939fa7a00fd5c7b62bbc318534b638

Observation 4e87f44d-9749-4848-af36-6ef617fbb953 · outbound

This paper cites Elixir: Effective Object-Oriented Program Repair.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Elixir: Effective Object-Oriented Program Repair

Reference 7

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source=pdf_text observed=2026-08-16T00:45:04.723805Z digest=sha256:63b37933c9830b5de8ccca49819c4a10081aaf29f0bd84370556fac366277fd7

Observation f80b8cad-84e8-459f-9afa-0ef85775db9e · outbound

This paper cites Better Automatic Program Repair by Using Bug Reports and Tests Together.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Better Automatic Program Repair by Using Bug Reports and Tests Together

Reference 8

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source=pdf_text observed=2026-08-16T00:45:04.727531Z digest=sha256:15d8cd4f8ffec3adce05152548f2d2f2884e86d5e908f7d2ef5f5fbb3a35a46f

Observation b4c7a188-d295-47fd-bb7d-90014ec09d17 · outbound

This paper cites Martinez and M.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Martinez and M

Reference 9

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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.

source=pdf_text observed=2026-08-16T00:45:04.731626Z digest=sha256:c7e5f61fc597e9154b4588e01ba924b215600a6d022a233eb3e4d27f76a2ad92

Observation 07420959-ade1-4e84-aa95-61078f6385a3 · outbound

This paper cites DynaMoth: Dynamic Code Synthesis for Automatic Program Repair.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models DynaMoth: Dynamic Code Synthesis for Automatic Program Repair

Reference 10

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source=pdf_text observed=2026-08-16T00:45:04.739813Z digest=sha256:1c108fd927607fc409f36b82b473b029119571af65d9b24602b4cabadc5deb75

Observation 6b85d971-b31a-4634-9f3a-adef9abdc55e · outbound

This paper cites CoCoNuT: Combining Context-Aware Neural Translation Models Using Ensem- ble for Program Repair.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models CoCoNuT: Combining Context-Aware Neural Translation Models Using Ensem- ble for Program Repair

Reference 11

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source=pdf_text observed=2026-08-16T00:45:04.743654Z digest=sha256:498f4847e60f92779f3aa7fd9837824198baed07f2bbaba62ec454d65d0daf1f

Observation 7dcf1c77-2e1a-4e83-9bae-3d75c0e3df3b · outbound

This paper cites Automated Program Repair in the Era of Large Pre-Trained Language Models.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Automated Program Repair in the Era of Large Pre-Trained Language Models

Reference 12

Resolution
verified exact
raw_fallback, observed 2026-08-16T00:45:06.085893Z

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.

source=pdf_text observed=2026-08-16T00:45:04.747189Z digest=sha256:adc2112690dea550a84f0e13252e54cdb05c3a3ee657141cbe1080e9e636d0f5

Observation 4718699a-2e83-4ea4-b573-eb18d75f7aec · outbound

This paper cites Less Training, More Repairing Please: Revis- iting Automated Program Repair via Zero-Shot Learning.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Less Training, More Repairing Please: Revis- iting Automated Program Repair via Zero-Shot Learning

Reference 13

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source=pdf_text observed=2026-08-16T00:45:04.750759Z digest=sha256:43818b654e3edf2b1202c6b0323bd78073d8c8b8b178494c1c5c8d4b1da81448

Observation 01c6dc02-84d9-4704-b1d0-126195f985e0 · outbound

This paper cites Rozière et al.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Rozière et al

Reference 14

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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.

source=pdf_text observed=2026-08-16T00:45:04.754384Z digest=sha256:00286a3019cfdf3b6c0745a19d34e374cf1ac0af537cefe1721671dc60366231

Observation 30fc99f9-208b-4034-8b12-3ea0b7f3bb0c · outbound

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

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 15

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source=pdf_text observed=2026-08-16T00:45:04.762235Z digest=sha256:cef8a67abaadc6643e281a9b192e7de2bfcdf8d2d78eabaee82160f440d466e3

Observation f11ce351-1900-4903-b120-febc8e0c6a9e · outbound

This paper cites An Analysis of the Automatic Bug Fixing Performance of ChatGPT.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models An Analysis of the Automatic Bug Fixing Performance of ChatGPT

Reference 16

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source=pdf_text observed=2026-08-16T00:45:04.766553Z digest=sha256:7d92ff69e93bc2f56a9f95a59ed0e97a0220cf32c1cd43ed4365992f6fa037b8

Observation d4a70e81-69a5-407d-9f40-1304c4a30d8d · outbound

This paper cites A Survey of Learning- based Automated Program Repair.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models A Survey of Learning- based Automated Program Repair

Reference 17

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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.

source=pdf_text observed=2026-08-16T00:45:04.770331Z digest=sha256:b4556cae1bb6de0e075c49e2e974a93b3a5d559a8443584cb044b7e9a8f37af1

Observation d0b1d067-d406-48e9-901a-e2893e067353 · outbound

This paper cites Revisiting the Plastic Surgery Hypothesis via Large Language Models.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Revisiting the Plastic Surgery Hypothesis via Large Language Models

Reference 18

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source=pdf_text observed=2026-08-16T00:45:04.773746Z digest=sha256:74555aa7593eda3b56fd82907a44602674f432b6319fc449c58ca9a3734a28db

Observation 252420bb-a806-48ba-b399-16ebd367cead · outbound

This paper cites How Far Can We Go with Practical Function-Level Program Repair?.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models How Far Can We Go with Practical Function-Level Program Repair?

Reference 19

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source=pdf_text observed=2026-08-16T00:45:04.778293Z digest=sha256:c450384e5c7281e46f9226b943b7447b80512e3e9c57d1757fd557567b4e1004

Observation 5a976751-73ee-4746-aa29-ef0bf42889a9 · outbound

This paper cites Trust Enhancement Issues in Program Repair.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Trust Enhancement Issues in Program Repair

Reference 20

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local_arxiv, observed 2026-08-16T00:45:05.946687Z

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.

source=pdf_text observed=2026-08-16T00:45:04.783418Z digest=sha256:a551ec7da06ff9ec2c196971c20f954106eeef071a0d4f6f2e11751fe7d13b72

Observation 9a5bd2c1-2d2b-430f-94ad-f26a3d2a89a6 · outbound

This paper cites Zhang et al.Instruction Tuning for Large Language Models: A Survey.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Zhang et al.Instruction Tuning for Large Language Models: A Survey

Reference 21

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source=pdf_text observed=2026-08-16T00:45:04.787400Z digest=sha256:b2264163d6dcbfeea302faf0f389048408a03f05eae5e44ab41aaf70b2ea7d49

Observation 6548df3b-7045-45ae-afb0-a4765d1ed6b9 · outbound

This paper cites Impact of Code Language Models on Automated Program Repair.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Impact of Code Language Models on Automated Program Repair

Reference 22

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source=pdf_text observed=2026-08-16T00:45:04.790863Z digest=sha256:a17be843ac607a2b01fda7d7d6f812047995796a7d8d8e7d20c631cb66a4c1b2

Observation 35417e0a-9b85-4701-9e51-3250cf8fd58c · outbound

This paper cites Defects4J: A Database of Existing Faults to Enable Controlled Testing Studies for Java Programs.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Defects4J: A Database of Existing Faults to Enable Controlled Testing Studies for Java Programs

Reference 23

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source=pdf_text observed=2026-08-16T00:45:04.794689Z digest=sha256:460b607d568b1d72baeee76e3472859641165d6b65c938396a70eb3ce783d5e2

Observation 8709d808-788a-47f5-b0dc-6fd9a8b4afb7 · outbound

This paper cites Dubey et al.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Dubey et al

Reference 24

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

source=pdf_text observed=2026-08-16T00:45:04.798928Z digest=sha256:72ab3ef6c71f832f435982c631767dcb55089f578e883f8745792240f040ce0b

Observation 56613aa0-9c40-4042-a7c0-3660a92f88ad · outbound

This paper cites LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning

Reference 25

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source=pdf_text observed=2026-08-16T00:45:04.802522Z digest=sha256:27ad201c35526898fa379eec504f2819dff6e05b9cad0c1887755fed85cbfee0

Observation 6d00f516-8bfb-406a-bc1a-d9f01271cd15 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 26

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source=pdf_text observed=2026-08-16T00:45:04.806400Z digest=sha256:315cd4f19d90d1cef13533e8a0cc6dad1723e735a40763f6ef29365d28a8a50f

Observation 706d2df8-6b3c-417d-a8b7-bd65cda876e5 · outbound

This paper cites Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions

Reference 27

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

source=pdf_text observed=2026-08-16T00:45:04.810906Z digest=sha256:a7ec312ccd1649ed09e2ff459fb21b8b064d2cd4d9826189ae92a40759b59c81

Observation 08f31e43-6102-4ebb-9313-3c5d8d53fc4f · outbound

This paper cites Less is More: Summary of Long Instructions is Better for Program Synthesis.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Less is More: Summary of Long Instructions is Better for Program Synthesis

Reference 28

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source=pdf_text observed=2026-08-16T00:45:04.815044Z digest=sha256:1de46db6decbf4f4edb180b5dd82a2e6620ac893710bf81bec0df6202904cbb8

Observation cd954801-4cd6-449b-ac72-f638895cae10 · outbound

This paper cites Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code Large Language Models.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code Large Language Models

Reference 29

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source=pdf_text observed=2026-08-16T00:45:04.818911Z digest=sha256:78a04d2beb5da73ed21b1266f28ae909c896113c62d00cbc50d5507542ad59ac

Observation cd0ef512-769f-41a2-8cad-c889e143bd61 · outbound

This paper cites Instruction Tuning for Secure Code Generation.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Instruction Tuning for Secure Code Generation

Reference 30

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source=pdf_text observed=2026-08-16T00:45:04.823004Z digest=sha256:197e35b32cd2fb13b27f826f911382b7f3dc56308b155cafb966c82cc0ec72e3

Observation ef486db2-fd64-49b4-8ba8-b542777a9700 · outbound

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

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models WizardCoder: Empowering Code Large Language Models with Evol-Instruct

Reference 31

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source=pdf_text observed=2026-08-16T00:45:04.827209Z digest=sha256:1ef929be500da047ca12a1444832b91084021e239f78bdb302f1a0379b4f436d

Observation 65e8d89a-741b-4550-bfc9-e0d4b217c004 · outbound

This paper cites OctoPack: Instruction Tuning Code Large Language Models.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models OctoPack: Instruction Tuning Code Large Language Models

Reference 32

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source=pdf_text observed=2026-08-16T00:45:04.831875Z digest=sha256:a95a1a5fd3039352316872a49d12a03bb57ae37d77998fe62b933e19e8725464

Observation c1e360dc-17dd-4f81-962f-cf8cb094fde9 · outbound

This paper cites CodeT5+: Open Code Large Language Models for Code Understanding and Generation.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models CodeT5+: Open Code Large Language Models for Code Understanding and Generation

Reference 33

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source=pdf_text observed=2026-08-16T00:45:04.835948Z digest=sha256:9272797fb7df018e126e60ba7895313461543f05ee1a2ffcb6ccdd46b659bcc0

Observation 4f163118-2164-4282-af39-1bb09ba711f9 · outbound

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

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Magicoder: Empow- ering Code Generation with OSS-Instruct

Reference 34

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raw_fallback, observed 2026-08-16T00:45:06.635509Z

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.

source=pdf_text observed=2026-08-16T00:45:04.840411Z digest=sha256:8bc3fde58ee52c3b769f63b77df396f12c8df1784af5243a3bc9361c0701f8cf

Observation 456f5238-c5f9-4f6b-9796-d301d8f75d35 · outbound

This paper cites PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback

Reference 35

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source=pdf_text observed=2026-08-16T00:45:04.845561Z digest=sha256:2af5b59fc6fa268681bb93207019c601a11b2e0cf538a2db4bc5a427301ffa2b

Observation 051a203c-86fe-4860-8566-2120fffa26dd · outbound

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

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

Reference 36

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source=pdf_text observed=2026-08-16T00:45:04.849538Z digest=sha256:e32c8f824e0ce2ffa23c9e1504f5b6c627affcbd9f9487b6e487c1a6496f8c7f

Observation 30df1001-cf9c-4648-98cc-3458e0ce0dfc · outbound

This paper cites Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

Reference 37

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source=pdf_text observed=2026-08-16T00:45:04.854291Z digest=sha256:e6c1e9cbc345e76a37a6aa6f99625d7bf03f00b17e6d7886a11b1a7cc1421837

Observation 7e2e8ad3-4a1e-4b13-b5d9-864d242b8c77 · outbound

This paper cites Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models

Reference 38

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source=pdf_text observed=2026-08-16T00:45:04.858369Z digest=sha256:387f33100e40e776626c938e3a7462d6281336b82c74d1e886e59b350322a2bf

Observation 515cff2d-0d1e-495d-b125-0251cd135274 · outbound

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

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Teaching Large Language Models to Self-Debug

Reference 39

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source=pdf_text observed=2026-08-16T00:45:04.862775Z digest=sha256:236d2f7c80bc97d1395ac840c963ca0018455a1ab0b063e017b5e31bcbd14e13

Observation 5001a135-ec0d-404f-a790-2c467c1c1a57 · outbound

This paper cites Fully Au- tonomous Programming with Large Language Models.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Fully Au- tonomous Programming with Large Language Models

Reference 40

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source=pdf_text observed=2026-08-16T00:45:04.867428Z digest=sha256:6d83f3e1be99da49788ffe029183bcb9953708f452e1181e2d44ec141c5999a8

Observation 44dad5f6-e090-43fe-b06d-49e312bfd2c0 · outbound

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

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Self-Refine: Iterative Refinement with Self-Feedback

Reference 41

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raw_fallback, observed 2026-08-16T00:45:06.622686Z

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.

source=pdf_text observed=2026-08-16T00:45:04.871380Z digest=sha256:e468649df32ab7d80dfdf80aa39fb5ce921cec68109c08c1d1fac9b33399dfdf

Observation 7f2fceab-5c92-4976-bd5a-7d309e8a4785 · outbound

This paper cites RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance

Reference 42

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source=pdf_text observed=2026-08-16T00:45:04.875844Z digest=sha256:a04d38e61d6bbc7c8b6be8a0961ff30c5bb17b7549865ec74f8f0d49c4f82c6f

Observation af2d519e-2638-423a-93d6-2530c0bc5214 · outbound

This paper cites RepairAgent: An Autonomous, LLM-Based Agent for Program Repair.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models RepairAgent: An Autonomous, LLM-Based Agent for Program Repair

Reference 43

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source=pdf_text observed=2026-08-16T00:45:04.880049Z digest=sha256:49ab4059a37a5b2dd75143910286610b4b3c249871f9a4a7afdb9f28e311ec47

Observation fe1e11cd-8e60-4523-8119-977de931d5b1 · outbound

This paper cites CigaR: Cost-efficient Program Repair with LLMs.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models CigaR: Cost-efficient Program Repair with LLMs

Reference 44

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source=pdf_text observed=2026-08-16T00:45:04.884156Z digest=sha256:8a6404192fc4bfb6c1baed0d0b977f2abfdbf2d09917bdf077ed61e3dc37f624

Observation 82ee6bdd-6255-43cc-833a-7bc023b144c7 · outbound

This paper cites ITER: Iterative Neural Repair for Multi-Location Patches.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models ITER: Iterative Neural Repair for Multi-Location Patches

Reference 45

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verified exact
local_arxiv, observed 2026-08-16T00:45:05.639480Z

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.

source=pdf_text observed=2026-08-16T00:45:04.888213Z digest=sha256:1d4cab385a117d031845f37069f6d1280b7fcc6d3a2071d483f90fee5cf53f73

Observation b7b590a6-db9c-4d15-9e3e-03b5f9ac56fe · outbound

This paper cites RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning

Reference 46

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source=pdf_text observed=2026-08-16T00:45:04.892077Z digest=sha256:7503948695477369df2939f67ec607ea6c369d28502c21198e52069ad1edff32

Observation f657a763-876c-48be-8c44-9d66782abba3 · outbound

This paper cites OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement

Reference 47

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no resolver link, observed 2026-08-16T00:45:04.896654Z

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source=pdf_text observed=2026-08-16T00:45:04.896654Z digest=sha256:a6732346848325e0f9637a1058b393b039657c54ec3c882ec1d2888d4a826dc1

Observation 737ecda4-28ab-4057-a328-fa6b2ca5ba44 · outbound

This paper cites RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair

Reference 48

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source=pdf_text observed=2026-08-16T00:45:04.900841Z digest=sha256:90dc1f0b7c88e0bf907b39fba105fc6875ace828507399a0131c197b93f7eac8

Observation 8135c9eb-5b8f-43cd-b1c4-a2c4d237d382 · outbound

This paper cites Megadiff: A Dataset of 600k Java Source Code Changes Categorized by Diff Size.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Megadiff: A Dataset of 600k Java Source Code Changes Categorized by Diff Size

Reference 49

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source=pdf_text observed=2026-08-16T00:45:04.904732Z digest=sha256:fdccca51da7ea9c5242a185707b355305626a7597ec028f08e2eed2024ef9fa7

Observation 26c21be0-41ca-4714-bcb2-5dd7a0f314f6 · outbound

This paper cites Conversational Automated Program Repair.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Conversational Automated Program Repair

Reference 50

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source=pdf_text observed=2026-08-16T00:45:04.908740Z digest=sha256:3a33af79da1beda70fc8198eedf06c896831f83e275a35d230b3a07db1be6bd7

Observation d83d0e6d-81aa-4d3a-a692-fb428965fe2d · outbound

This paper cites Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each using ChatGPT.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each using ChatGPT

Reference 51

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source=pdf_text observed=2026-08-16T00:45:04.912765Z digest=sha256:372aee66e844d56cfc201d87377a9270c84357612ee78e5c468534294e0265ef

Observation 4e651b3f-060e-4332-b1dd-f9c75895a5cf · outbound

This paper cites an unresolved cited work.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Unresolved cited work

Reference 52

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raw_fallback, observed 2026-08-16T00:45:06.611019Z

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.

source=pdf_text observed=2026-08-16T00:45:04.917789Z digest=sha256:783d595fb51f0e99604777bfebd3e2d215c89ecbcf55eb5b9f718e611cc5096e

Observation a49884df-ae10-40ee-9251-e2ae96a37c35 · outbound

This paper cites an unresolved cited work.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-16T00:45:04.925695Z digest=sha256:a208ae1ff29cf25be68f4c952904acfef6bb60aead170bff036f8c4590919109

Observation 6a5bc810-db2e-4fa7-8f4b-499e1934c54c · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 54

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source=pdf_text observed=2026-08-16T00:45:04.930260Z digest=sha256:734480d28a7f8a478732bbc2c11b4a7f0c0ba6fdd2b3fd2899a301990a293e37

Observation 53ed6f76-012b-43b7-8d6f-8fe4b99839dd · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models LLaMA: Open and Efficient Foundation Language Models

Reference 55

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source=pdf_text observed=2026-08-16T00:45:04.934447Z digest=sha256:ec1b2ef42353967da2cf14311ce0ca9346e7a9b7c9750eed7215d3c8ef14c968

Observation 144408b0-c183-41a4-bc38-5a40e86fb5d0 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 56

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source=pdf_text observed=2026-08-16T00:45:04.938357Z digest=sha256:48f360ccd26523d446fbf1500db4d570619950a622723f86d7c327470dbca3b4

Observation 10e79444-1097-4924-b8f0-2ee260c2d505 · outbound

This paper cites Taori, I.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Taori, I

Reference 57

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verified fuzzy
raw_fallback, observed 2026-08-16T00:45:06.598610Z

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.

source=pdf_text observed=2026-08-16T00:45:04.942849Z digest=sha256:949b08bcad42ca77119d51f882260baefbf1bcfc9fca095f43b3cafc3d6770ce

Observation 8b215abc-5ebe-479e-9683-b365775e5927 · outbound

This paper cites A Syntax-Guided Edit Decoder for Neural Program Repair.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models A Syntax-Guided Edit Decoder for Neural Program Repair

Reference 58

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source=pdf_text observed=2026-08-16T00:45:04.946675Z digest=sha256:184f0de2f16662e95915805d0ad1f33537338d60b3aca26de7b46a291019ead6

Observation 498c2fea-2d4f-463d-b31f-b757937a2089 · outbound

This paper cites Defects4J: A Database of Existing Faults to Enable Controlled Testing Studies for Java Programs.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Defects4J: A Database of Existing Faults to Enable Controlled Testing Studies for Java Programs

Reference 59

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raw_fallback, observed 2026-08-16T00:45:06.586012Z

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

source=pdf_text observed=2026-08-16T00:45:04.950495Z digest=sha256:ec26670c40f03dfcc77e86c07f8b4a1410ebef2b4c6e426222973a70d6f26d4b

Observation ea8393a1-9429-48d6-91b3-4e985d4feb84 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Finetuned Language Models Are Zero-Shot Learners

Reference 60

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source=pdf_text observed=2026-08-16T00:45:04.957498Z digest=sha256:c614cac77b0f0cc40a07340b7ddab73e1f09d8af743744b7e058076c1b3ad92a

Observation 31d024a4-45ec-46c2-aaf2-b560048f55e9 · outbound

This paper cites Training Compute-Optimal Large Language Models.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Training Compute-Optimal Large Language Models

Reference 61

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source=pdf_text observed=2026-08-16T00:45:04.962302Z digest=sha256:bd736f050218e3b1e91a15aab85c4abc77e75030a37abec0d684dadd89ecddde

Observation 11c27520-d6eb-48e3-9578-a89fa5f9194c · outbound

This paper cites Are Large Language Models Memorizing Bug Benchmarks?.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Are Large Language Models Memorizing Bug Benchmarks?

Reference 62

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source=pdf_text observed=2026-08-16T00:45:04.966483Z digest=sha256:d141aa4f7c631a7a3b2ca70f039faa67db26d8a01416bf62af0ec4881b4e7aab

Observation 4419407b-7106-4b64-bd16-72aeb4a18c5e · outbound

This paper cites Automated Patch Correctness Assessment: How Far Are We?.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Automated Patch Correctness Assessment: How Far Are We?

Reference 63

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source=pdf_text observed=2026-08-16T00:45:04.970385Z digest=sha256:4b0e913581d4cd09caa607b784711b2514a9c38a3ba2d0ca9b7ffea650ffaffa

Observation 64e8f559-2aed-4b27-82bc-8427e3723d25 · outbound

This paper cites 437–440.doi: 10.1145/ 2610384.2628055.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models 437–440.doi: 10.1145/ 2610384.2628055

Reference 2014

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malformed identifier
no resolver link, observed 2026-08-16T00:45:04.954020Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T00:45:04.954020Z digest=sha256:61ff1ad0d2b9c6874f32438c1c92903d8e80f5ce3ea71f647fe674ea9936ab61

Observation 615fc045-0e25-43e7-b212-cacad4f49a10 · outbound

This paper cites Ultra-Large Repair Search Space with Automatically Mined Templates: the Cardumen Mode of Astor.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Ultra-Large Repair Search Space with Automatically Mined Templates: the Cardumen Mode of Astor

Reference 2018

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verified exact
local_arxiv, observed 2026-08-16T00:45:05.232612Z

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.

source=pdf_text observed=2026-08-16T00:45:04.735689Z digest=sha256:33e4418efdd4e8929172a4b7477166afe80c25b9c874bd8eb6d94a9a54d22bba

Observation 6b0df675-e9bb-4873-8c9b-a66ffc19c3ec · outbound

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

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Code Llama: Open Foundation Models for Code

Reference 2023

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T00:45:04.758076Z digest=sha256:2f9edcad85185760cbec8f502aa681a985201f4b5433d36202e9dc14fea22678

Observation 08d810dc-9963-4520-a949-36ae50856b72 · outbound

This paper cites Exploring Parameter-Efficient Fine-Tuning of Large Language Model on Automated Program Repair.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Exploring Parameter-Efficient Fine-Tuning of Large Language Model on Automated Program Repair

Reference 2024

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T00:45:04.921626Z digest=sha256:cc107b5da18fcfbf877141d495b88bbee02081085626933e9f112c52965cd275

Pith citing papers

Observation 62f89636-d693-4960-96a9-4462e682fca1 · inbound

SAFEdit: Does Multi-Agent Decomposition Resolve the Reliability Challenges of Instructed Code Editing? cites this paper.

SAFEdit: Does Multi-Agent Decomposition Resolve the Reliability Challenges of Instructed Code Editing? The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models

Reference 14

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arxiv_id, observed 2026-05-11T23:56:12.410450Z

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.

source=pdf_text observed=2026-05-07T16:03:35.146431Z digest=sha256:2ec6268a17e4ac79b94db7d2fd601e165c81cdf798b741b04330485aa16f6655

Observation ef6deacf-6a52-4e56-9297-fc4b944fa4ff · inbound

Neural Code Translation of Legacy Code: APL to C# cites this paper.

Neural Code Translation of Legacy Code: APL to C# The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models

Reference 7

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arxiv_id, observed 2026-05-15T05:29:48.451044Z

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.

source=pdf_text observed=2026-05-15T05:25:16.024670Z digest=sha256:48b067f859093a432313f7d7afd0466c627124701c32ac90c9999dfc55900934