Paper Citation Record · LEDGER

Empirical Evaluation of Large Language Models in Automated Program Repair

As of 19 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 2 inbound Pith citation observations for arXiv:2506.13186.

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

pith.paper-citation-record.v1
2506.13186 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:42:05.472880Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:06:55.050376Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T05:57:24.432794Z

Reference resolution

79 of 79 outbound references displayed

verified exact0
verified fuzzy56
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b167f023-3aeb-4ead-87bb-3be516ef7ee1 · outbound

This paper cites The debugging mindset: Understanding the psychology of learning strategies leads to effective problem-solving skills.

Empirical Evaluation of Large Language Models in Automated Program Repair The debugging mindset: Understanding the psychology of learning strategies leads to effective problem-solving skills

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.240703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b0258e0a-e192-4a1c-8c68-00beae8a946a · outbound

This paper cites Genprog: A generic method for automatic software repair,.

Empirical Evaluation of Large Language Models in Automated Program Repair Genprog: A generic method for automatic software repair,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.230666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fec9e93c-374f-43be-ab4d-ccb6c5fdc2b6 · outbound

This paper cites Nopol: Automatic repair of conditional statement bugs in java programs,.

Empirical Evaluation of Large Language Models in Automated Program Repair Nopol: Automatic repair of conditional statement bugs in java programs,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.221383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1be5c364-e6c2-4dd1-9dff-5d0d56b98bf4 · outbound

This paper cites S3: syntax- and semantic-guided repair synthesis via programming by examples,.

Empirical Evaluation of Large Language Models in Automated Program Repair S3: syntax- and semantic-guided repair synthesis via programming by examples,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.211545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f3684160-823d-471d-aabd-bf85a36a4d0c · outbound

This paper cites Staged program repair with condition synthesis,.

Empirical Evaluation of Large Language Models in Automated Program Repair Staged program repair with condition synthesis,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.202384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e5142586-429b-4d87-8f3b-e8613068e4c7 · outbound

This paper cites Angelix: Scalable multiline program patch synthesis via symbolic analysis,.

Empirical Evaluation of Large Language Models in Automated Program Repair Angelix: Scalable multiline program patch synthesis via symbolic analysis,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.192887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 12bfc4d2-6a0e-4392-9338-213d63a946a7 · outbound

This paper cites Astor: A program repair library for java,.

Empirical Evaluation of Large Language Models in Automated Program Repair Astor: A program repair library for java,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.183114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dcbd5c05-4553-4527-a135-7da6f642e4f1 · outbound

This paper cites History driven program repair,.

Empirical Evaluation of Large Language Models in Automated Program Repair History driven program repair,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.173408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d4f33bc5-e716-4ef2-a8db-f104b7270513 · outbound

This paper cites Automatic patch generation by learning correct code,.

Empirical Evaluation of Large Language Models in Automated Program Repair Automatic patch generation by learning correct code,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.163121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a82ae89a-5d64-4f65-8722-3a611339bd54 · outbound

This paper cites Leveraging syntax-related code for automated program repair,.

Empirical Evaluation of Large Language Models in Automated Program Repair Leveraging syntax-related code for automated program repair,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.152650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1a9e125e-47fc-43ad-9b21-e394ad4819b3 · outbound

This paper cites Precise condition synthesis for program repair,.

Empirical Evaluation of Large Language Models in Automated Program Repair Precise condition synthesis for program repair,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.143327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8daf1de8-8a74-4f81-8fd6-cd5eb1935dc9 · outbound

This paper cites Automatic inference of code transforms for patch generation,.

Empirical Evaluation of Large Language Models in Automated Program Repair Automatic inference of code transforms for patch generation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.133299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a91899b0-3bc4-4ce6-bf47-fa49b316d55d · outbound

This paper cites Towards practical program repair with on-demand candidate generation,.

Empirical Evaluation of Large Language Models in Automated Program Repair Towards practical program repair with on-demand candidate generation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.124032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2419a248-dd07-4c16-9866-400c3d19ee80 · outbound

This paper cites Context-aware patch generation for better automated program repair,.

Empirical Evaluation of Large Language Models in Automated Program Repair Context-aware patch generation for better automated program repair,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.114649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 14cee7f8-6e84-4240-8655-7ae6d43ef020 · outbound

This paper cites Shaping program repair space with existing patches and similar code,.

Empirical Evaluation of Large Language Models in Automated Program Repair Shaping program repair space with existing patches and similar code,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.105045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eab405de-641b-47f9-8578-f29250fee8fc · outbound

This paper cites Tbar: Revisiting template-based automated program repair,.

Empirical Evaluation of Large Language Models in Automated Program Repair Tbar: Revisiting template-based automated program repair,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.095272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation df8f5b3c-5fdc-460c-a4b8-91ddb4702f95 · outbound

This paper cites Avatar: Fixing semantic bugs with fix patterns of static analysis violations,.

Empirical Evaluation of Large Language Models in Automated Program Repair Avatar: Fixing semantic bugs with fix patterns of static analysis violations,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.085697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 824fb81a-f85f-4cdd-be5d-7612145a97ea · outbound

This paper cites Practical program repair via bytecode mutation,.

Empirical Evaluation of Large Language Models in Automated Program Repair Practical program repair via bytecode mutation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.075497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 40a98f43-ce8c-4078-a88a-9c3e76c300d4 · outbound

This paper cites Inferring program transfor- mations from singular examples via big code,.

Empirical Evaluation of Large Language Models in Automated Program Repair Inferring program transfor- mations from singular examples via big code,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.064987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6e5ff99e-aa98-4872-9f3d-93c009ec6061 · outbound

This paper cites The plastic surgery hypothesis in the era of large language models,.

Empirical Evaluation of Large Language Models in Automated Program Repair The plastic surgery hypothesis in the era of large language models,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.055015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 76c5b301-c4e8-4f53-b2ca-f42df3cd92d7 · outbound

This paper cites Sequencer: Sequence-to-sequence learning for end- to-end program repair,.

Empirical Evaluation of Large Language Models in Automated Program Repair Sequencer: Sequence-to-sequence learning for end- to-end program repair,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.044297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 20d6c679-fdae-4ccb-854e-c531c40ebe60 · outbound

This paper cites Coconut: combining context-aware neural translation models using ensemble for program repair,.

Empirical Evaluation of Large Language Models in Automated Program Repair Coconut: combining context-aware neural translation models using ensemble for program repair,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.035055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 83986091-dad1-4b05-8a6e-9e7f4ee67b54 · outbound

This paper cites Dlfix: Context-based code transformation learning for automated program repair,.

Empirical Evaluation of Large Language Models in Automated Program Repair Dlfix: Context-based code transformation learning for automated program repair,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.025782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e6de4167-2e91-408d-a26e-4926315cfdb1 · outbound

This paper cites A syntax-guided edit decoder for neural program repair,.

Empirical Evaluation of Large Language Models in Automated Program Repair A syntax-guided edit decoder for neural program repair,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.016369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8796f69d-9ee4-44d4-bb53-ffaca7f768e3 · outbound

This paper cites Cure: Code-aware neural machine translation for automatic program repair,.

Empirical Evaluation of Large Language Models in Automated Program Repair Cure: Code-aware neural machine translation for automatic program repair,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:06.005991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation be5ffd9d-7362-4a38-95c6-0f8edb534c66 · outbound

This paper cites Neural program repair with execution-based backpropagation,.

Empirical Evaluation of Large Language Models in Automated Program Repair Neural program repair with execution-based backpropagation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.995572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eb43304e-50c7-41e2-a187-5ca3ef30ac27 · outbound

This paper cites Tare: Type-aware neural program repair,.

Empirical Evaluation of Large Language Models in Automated Program Repair Tare: Type-aware neural program repair,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.984769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 39adb762-c39f-4fb0-8f79-b49f7e1bc8df · outbound

This paper cites Vulrepair: a t5-based automated software vulnerability repair,.

Empirical Evaluation of Large Language Models in Automated Program Repair Vulrepair: a t5-based automated software vulnerability repair,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.975049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 45ed4b8a-9196-4c11-93e4-7d97271e9cf8 · outbound

This paper cites Less training, more repairing please: revisiting automated program repair via zero-shot learning,.

Empirical Evaluation of Large Language Models in Automated Program Repair Less training, more repairing please: revisiting automated program repair via zero-shot learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.964939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bd9d3dd8-2e81-4187-a3f6-eadb708e6b81 · outbound

This paper cites Prompting is all you need: Automated android bug replay with large language models,.

Empirical Evaluation of Large Language Models in Automated Program Repair Prompting is all you need: Automated android bug replay with large language models,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:01.431179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f30c9134-5bde-46a6-83ae-1f22e9b1e495 · outbound

This paper cites UniXcoder: Unified Cross-Modal Pre-training for Code Representation.

Empirical Evaluation of Large Language Models in Automated Program Repair UniXcoder: Unified Cross-Modal Pre-training for Code Representation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:01.663531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87540288-3fae-4b86-ad57-5ffbc7223095 · outbound

This paper cites CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis.

Empirical Evaluation of Large Language Models in Automated Program Repair CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:01.795662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72d2a4e6-3669-4d0b-8395-a636b64f53b1 · outbound

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

Empirical Evaluation of Large Language Models in Automated Program Repair CodeT5+: Open Code Large Language Models for Code Understanding and Generation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:01.938924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a14e427d-ca39-4cc4-aa8d-5d032d4c6a55 · outbound

This paper cites Few-shot training llms for project-specific code-summarization,.

Empirical Evaluation of Large Language Models in Automated Program Repair Few-shot training llms for project-specific code-summarization,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.948557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 11988c79-de0a-4047-b547-158d6c01a4cf · outbound

This paper cites Can openai’s codex fix bugs? an evaluation on quixbugs,.

Empirical Evaluation of Large Language Models in Automated Program Repair Can openai’s codex fix bugs? an evaluation on quixbugs,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.938979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 71212d70-bae2-4a25-a985-2dae3756a3e8 · outbound

This paper cites Impact of code language models on automated program repair,.

Empirical Evaluation of Large Language Models in Automated Program Repair Impact of code language models on automated program repair,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.929747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a5dc196a-4e68-4f5f-b48d-92ac96460765 · outbound

This paper cites Automated program repair in the era of large pre-trained language models,.

Empirical Evaluation of Large Language Models in Automated Program Repair Automated program repair in the era of large pre-trained language models,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.920026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b6741863-1deb-43b7-90ac-7eb0d1fbccaa · outbound

This paper cites Automated repair of programs from large language models,.

Empirical Evaluation of Large Language Models in Automated Program Repair Automated repair of programs from large language models,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.909849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 96adef9e-365e-494a-b863-4b0c845df6ea · outbound

This paper cites Gamma: Revisiting template-based automated program repair via mask prediction,.

Empirical Evaluation of Large Language Models in Automated Program Repair Gamma: Revisiting template-based automated program repair via mask prediction,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.899311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce07b5f5-d85c-4cb4-8702-e0107a8877f3 · outbound

This paper cites Thinkrepair: Self-directed automated program repair,.

Empirical Evaluation of Large Language Models in Automated Program Repair Thinkrepair: Self-directed automated program repair,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.888905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d77097f1-f099-446a-84a6-34e63dfd4890 · outbound

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

Empirical Evaluation of Large Language Models in Automated Program Repair Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each using ChatGPT

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:03.138296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98fd2f8f-62b1-4077-a1e6-4354f99d6d4e · outbound

This paper cites An empirical study on fine-tuning large language models of code for automated program repair,.

Empirical Evaluation of Large Language Models in Automated Program Repair An empirical study on fine-tuning large language models of code for automated program repair,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.879214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 21468d90-0805-48e3-aec4-fca00d321f3b · outbound

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

Empirical Evaluation of Large Language Models in Automated Program Repair How Far Can We Go with Practical Function-Level Program Repair?

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:03.480214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0f7b167-a413-410c-ad5b-17c321a70e03 · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

Empirical Evaluation of Large Language Models in Automated Program Repair CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:03.627340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1afb6817-ed90-44b2-8915-55e1e791a7f3 · outbound

This paper cites CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation.

Empirical Evaluation of Large Language Models in Automated Program Repair CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:03.731652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 758c4715-52aa-4cd4-8b03-1727af3945f7 · outbound

This paper cites Defects4j: A database of existing faults to enable controlled testing studies for java programs,.

Empirical Evaluation of Large Language Models in Automated Program Repair Defects4j: A database of existing faults to enable controlled testing studies for java programs,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.868542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c1fc1f57-f631-4ef0-b5f2-d8b7186e9d57 · outbound

This paper cites The manybugs and introclass benchmarks for automated repair of c programs,.

Empirical Evaluation of Large Language Models in Automated Program Repair The manybugs and introclass benchmarks for automated repair of c programs,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:03.902785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26afc1d8-52b2-4708-8300-61f244381d91 · outbound

This paper cites Quixbugs: A multi- lingual program repair benchmark set based on the quixey challenge,.

Empirical Evaluation of Large Language Models in Automated Program Repair Quixbugs: A multi- lingual program repair benchmark set based on the quixey challenge,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.853231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 49dfc44b-32a7-4799-bdc1-6ade43900b54 · outbound

This paper cites An overview of large ai models and their applications,.

Empirical Evaluation of Large Language Models in Automated Program Repair An overview of large ai models and their applications,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.844090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f8eff1b3-e612-4aba-8e72-316a59496d27 · outbound

This paper cites The Cost of Training NLP Models: A Concise Overview.

Empirical Evaluation of Large Language Models in Automated Program Repair The Cost of Training NLP Models: A Concise Overview

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:04.244106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f86b1894-1265-47fa-8cb9-f80bd7d7d7b4 · outbound

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

Empirical Evaluation of Large Language Models in Automated Program Repair Code Llama: Open Foundation Models for Code

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:04.329887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7accd6b2-a4e5-4940-b73c-383e0f4eeffc · outbound

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

Empirical Evaluation of Large Language Models in Automated Program Repair Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 52

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Observation 24a46f90-1e97-467e-88ba-1ade845c20f6 · outbound

This paper cites StarCoder: may the source be with you!.

Empirical Evaluation of Large Language Models in Automated Program Repair StarCoder: may the source be with you!

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:04.536895Z

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Observation 72fb79e8-f04b-431e-a3ca-aa36c8637845 · outbound

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

Empirical Evaluation of Large Language Models in Automated Program Repair DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:04.649827Z

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Observation 7f35cd4c-3c94-4e94-94f1-96e2ebdd80f4 · outbound

This paper cites Bugsc++: A highly usable real world defect benchmark for c/c++,.

Empirical Evaluation of Large Language Models in Automated Program Repair Bugsc++: A highly usable real world defect benchmark for c/c++,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.834621Z

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Observation 16bcf1d0-f2e3-4c55-9c95-50eea4e4a965 · outbound

This paper cites Introclassjava: A benchmark of 297 small and buggy java programs,.

Empirical Evaluation of Large Language Models in Automated Program Repair Introclassjava: A benchmark of 297 small and buggy java programs,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.825380Z

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Observation 85559a4d-8504-45af-a6eb-cbf78c345fe6 · outbound

This paper cites ConDefects: A New Dataset to Address the Data Leakage Concern for LLM-based Fault Localization and Program Repair.

Empirical Evaluation of Large Language Models in Automated Program Repair ConDefects: A New Dataset to Address the Data Leakage Concern for LLM-based Fault Localization and Program Repair

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:04.948194Z

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Observation 8b11fc15-23a8-40b4-a76a-184428472385 · outbound

This paper cites Attention is all you need,.

Empirical Evaluation of Large Language Models in Automated Program Repair Attention is all you need,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:05.051611Z

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Observation 94df2463-7a28-411c-816f-51d15f78510f · outbound

This paper cites Scaling Laws for Neural Language Models.

Empirical Evaluation of Large Language Models in Automated Program Repair Scaling Laws for Neural Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:05.171629Z

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Observation 20d51a2a-2b9f-41d1-a7e5-9320708393e1 · outbound

This paper cites How to fine-tune bert for text classification?.

Empirical Evaluation of Large Language Models in Automated Program Repair How to fine-tune bert for text classification?

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.809993Z

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Observation 395ba91c-dd99-45f1-a74b-ac54d3b2a4a9 · outbound

This paper cites Parameter-efficient fine-tuning of large-scale pre-trained language models,.

Empirical Evaluation of Large Language Models in Automated Program Repair Parameter-efficient fine-tuning of large-scale pre-trained language models,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.800845Z

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Observation 6a83e52f-062a-4de2-a231-7cfe1cd31a74 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Empirical Evaluation of Large Language Models in Automated Program Repair The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:05.362416Z

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Observation 6fb7979d-aa5e-4487-87df-695dc7e371e8 · outbound

This paper cites Visual prompt tuning,.

Empirical Evaluation of Large Language Models in Automated Program Repair Visual prompt tuning,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:05.421426Z

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Observation 5b3dc69d-4f59-42dd-94e0-98c7e9cde194 · outbound

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

Empirical Evaluation of Large Language Models in Automated Program Repair RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:05.424919Z

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Observation 0e006f2e-67e4-42de-9531-2a63aae568e5 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Empirical Evaluation of Large Language Models in Automated Program Repair Lora: Low-rank adaptation of large language models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:05.428384Z

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Observation 0aa587ea-34f5-40c7-ad32-a661661efd1d · outbound

This paper cites Language models are few-shot learners,.

Empirical Evaluation of Large Language Models in Automated Program Repair Language models are few-shot learners,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.778200Z

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Observation a15d5cee-f17f-48b3-a7f5-87d85476bd06 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Empirical Evaluation of Large Language Models in Automated Program Repair Chain-of-thought prompting elicits reasoning in large language models,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.768606Z

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Observation 7e50a810-d84d-4cd0-8eb6-d0b0ab34c358 · outbound

This paper cites Automatic Chain of Thought Prompting in Large Language Models.

Empirical Evaluation of Large Language Models in Automated Program Repair Automatic Chain of Thought Prompting in Large Language Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:05.441867Z

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Observation b6094612-9c13-4d54-b8cd-ceddc3b278a3 · outbound

This paper cites Towards understanding chain-of-thought prompting: An empirical study of what matters,.

Empirical Evaluation of Large Language Models in Automated Program Repair Towards understanding chain-of-thought prompting: An empirical study of what matters,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.750080Z

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Observation ad81bf8e-c8f9-48a0-ba15-8930e9b2725f · outbound

This paper cites Copiloting the copilots: Fusing large language models with completion engines for automated program repair,.

Empirical Evaluation of Large Language Models in Automated Program Repair Copiloting the copilots: Fusing large language models with completion engines for automated program repair,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.740858Z

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Observation cc987921-c713-4283-8f42-bf026044ea93 · outbound

This paper cites Language models are few-shot learners,.

Empirical Evaluation of Large Language Models in Automated Program Repair Language models are few-shot learners,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.730831Z

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Observation e44f86b7-e733-4626-839b-b8b9fde34cc9 · outbound

This paper cites Hybrid automated program repair by combining large language models and program analysis,.

Empirical Evaluation of Large Language Models in Automated Program Repair Hybrid automated program repair by combining large language models and program analysis,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.715419Z

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Observation a3686d76-ead4-4241-b460-ee9eebcd86b5 · outbound

This paper cites Atcoder,.

Empirical Evaluation of Large Language Models in Automated Program Repair Atcoder,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.703761Z

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Observation 55508178-2240-479c-b518-8719019d69cd · outbound

This paper cites Benchmarking automated program repair: An extensive study on both real-world and artificial bugs,.

Empirical Evaluation of Large Language Models in Automated Program Repair Benchmarking automated program repair: An extensive study on both real-world and artificial bugs,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.694450Z

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Observation 3742ddc5-6f61-4290-956f-49029b7ae247 · outbound

This paper cites A large-scale empirical review of patch correctness checking approaches,.

Empirical Evaluation of Large Language Models in Automated Program Repair A large-scale empirical review of patch correctness checking approaches,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.684923Z

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Observation 22b224c3-c84b-4ba9-be58-302809035acd · outbound

This paper cites Fine-grained and accurate source code differencing,.

Empirical Evaluation of Large Language Models in Automated Program Repair Fine-grained and accurate source code differencing,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.675707Z

Source-reported events for the cited work

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Observation 31906295-cc80-4353-beac-7113e8e9715b · outbound

This paper cites Hyperparameter optimiza- tion for ast differencing,.

Empirical Evaluation of Large Language Models in Automated Program Repair Hyperparameter optimiza- tion for ast differencing,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.665562Z

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Observation e5d92750-57d9-4d2c-a8aa-24c3189299a2 · outbound

This paper cites Available: https://proceedings.neurips.cc/paper files/ paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf.

Empirical Evaluation of Large Language Models in Automated Program Repair Available: https://proceedings.neurips.cc/paper files/ paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf

Reference 1901

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:05.454169Z

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Observation 59f72b53-4217-48de-9a4c-7f0376aba95d · outbound

This paper cites Available: https://proceedings.neurips.cc/paper/2022/ hash/9d5609613524ecf4f15af0f7b31abca4-Abstract-Conference.html.

Empirical Evaluation of Large Language Models in Automated Program Repair Available: https://proceedings.neurips.cc/paper/2022/ hash/9d5609613524ecf4f15af0f7b31abca4-Abstract-Conference.html

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.758987Z

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Pith citing papers

Observation 6827e5a6-d000-403b-bcf7-ea2837457152 · inbound

Automating Computational Reproducibility in Social Science: Comparing Prompt-Based and Agent-Based Approaches cites this paper.

Automating Computational Reproducibility in Social Science: Comparing Prompt-Based and Agent-Based Approaches Empirical Evaluation of Large Language Models in Automated Program Repair

Reference 30

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Observation 431b66bc-afd3-450e-bfd8-2ebc102b0793 · inbound

Semantic Drift in Bug Resolution: How Behavioral Signals Propagate from Reports to Tests and Patches cites this paper.

Semantic Drift in Bug Resolution: How Behavioral Signals Propagate from Reports to Tests and Patches Empirical Evaluation of Large Language Models in Automated Program Repair

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T15:06:55.050376Z

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