Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:45:04.970385Z
Paper Citation Record · LEDGER
As of 16 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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:45:04.970385Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-15T05:25:16.024670Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T05:29:48.446947Z
67 of 67 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 3909551f-00cb-45b6-b6b7-6a58ad9c6a68 · outbound
The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Unresolved cited work
Reference 1
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Reference 2
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Reference 3
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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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Reference 13
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The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Rozière et al
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Reference 15
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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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Observation d4a70e81-69a5-407d-9f40-1304c4a30d8d · outbound
The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models A Survey of Learning- based Automated Program Repair
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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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Observation 252420bb-a806-48ba-b399-16ebd367cead · outbound
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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The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Trust Enhancement Issues in Program Repair
Reference 20
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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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Observation 6548df3b-7045-45ae-afb0-a4765d1ed6b9 · outbound
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Reference 22
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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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The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Dubey et al
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Reference 25
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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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Observation 706d2df8-6b3c-417d-a8b7-bd65cda876e5 · outbound
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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Observation 08f31e43-6102-4ebb-9313-3c5d8d53fc4f · outbound
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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Observation cd954801-4cd6-449b-ac72-f638895cae10 · outbound
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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The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Instruction Tuning for Secure Code Generation
Reference 30
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Reference 31
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Observation 65e8d89a-741b-4550-bfc9-e0d4b217c004 · outbound
The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models OctoPack: Instruction Tuning Code Large Language Models
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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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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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Reference 37
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Reference 38
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Reference 39
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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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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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Reference 42
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Reference 43
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Reference 45
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Reference 46
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Reference 49
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Reference 51
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Reference 52
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Reference 53
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Reference 54
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The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models LLaMA: Open and Efficient Foundation Language Models
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Reference 56
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The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models Taori, I
Reference 57
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Reference 58
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Reference 59
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Reference 62
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Reference 63
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Reference 2014
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Reference 2018
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Reference 2023
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Observation 08d810dc-9963-4520-a949-36ae50856b72 · outbound
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Reference 2024
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