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Paper Citation Record · LEDGER

Large Language Models for Fault Localization: An Empirical Study

As of 7 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 0 inbound Pith citation observations for arXiv:2510.20521.

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

pith.paper-citation-record.v1
2510.20521 v2

Coverage vector

measured 80 of 80 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:26:10.832611Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

80 of 80 outbound references displayed

  • verified exact6
  • verified fuzzy0
  • unresolved74
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc8e54b3-7a43-4788-8f37-8d01adcf5bf6 · outbound

This paper cites an unresolved cited work.

Large Language Models for Fault Localization: An Empirical Study Unresolved cited work

Reference 1

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Observation a07a0dfa-4a89-4221-9b38-7d930b8c89d2 · outbound

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Large Language Models for Fault Localization: An Empirical Study Unresolved cited work

Reference 2

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Observation 868c041c-4d99-4f1c-b9b3-6f5c63d06b94 · outbound

This paper cites Automated Type Annotation in Python Using Large Language Models.

Large Language Models for Fault Localization: An Empirical Study Automated Type Annotation in Python Using Large Language Models

Reference 4

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Observation e3ee22d1-88ee-412f-a33f-9a87bb7a5b32 · outbound

This paper cites Proceedings of the.

Large Language Models for Fault Localization: An Empirical Study Proceedings of the

Reference 5

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Large Language Models for Fault Localization: An Empirical Study Usage of

Reference 6

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This paper cites and Dhariwal, Prafulla and Neelakantan, Arvind and Shyam, Pranav and Sastry, Girish and Askell, Amanda and Agarwal, Sandhini and.

Large Language Models for Fault Localization: An Empirical Study and Dhariwal, Prafulla and Neelakantan, Arvind and Shyam, Pranav and Sastry, Girish and Askell, Amanda and Agarwal, Sandhini and

Reference 7

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This paper cites Evaluating Large Language Models Trained on Code.

Large Language Models for Fault Localization: An Empirical Study Evaluating Large Language Models Trained on Code

Reference 8

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Observation d86a1ca7-e72e-4a08-9685-02756f2b61ad · outbound

This paper cites Exploring.

Large Language Models for Fault Localization: An Empirical Study Exploring

Reference 9

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Observation f6101ef9-1057-40dd-b8ee-9f8a2bc586f4 · outbound

This paper cites Evaluating.

Large Language Models for Fault Localization: An Empirical Study Evaluating

Reference 10

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This paper cites doi:10.48550/arXiv.2506.10954 , archiveprefix =.

Large Language Models for Fault Localization: An Empirical Study doi:10.48550/arXiv.2506.10954 , archiveprefix =

Reference 11

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This paper cites Analyzing the Performance of Large Language Models on Code Summarization.

Large Language Models for Fault Localization: An Empirical Study Analyzing the Performance of Large Language Models on Code Summarization

Reference 12

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This paper cites Evaluating.

Large Language Models for Fault Localization: An Empirical Study Evaluating

Reference 13

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Observation efb6977c-fc4d-40e8-890d-2055f10fabcb · outbound

This paper cites A Survey on Large Language Models for Code Generation.

Large Language Models for Fault Localization: An Empirical Study A Survey on Large Language Models for Code Generation

Reference 15

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Large Language Models for Fault Localization: An Empirical Study Sentiment Analysis of

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Large Language Models for Fault Localization: An Empirical Study Proceedings of the 2014

Reference 17

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Large Language Models for Fault Localization: An Empirical Study Unresolved cited work

Reference 18

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Large Language Models for Fault Localization: An Empirical Study Proceedings of the 62nd

Reference 19

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Large Language Models for Fault Localization: An Empirical Study Unresolved cited work

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Large Language Models for Fault Localization: An Empirical Study Variational

Reference 21

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Observation 83630e91-adc9-41a9-9b7e-3f7163f3cbc8 · outbound

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Large Language Models for Fault Localization: An Empirical Study Context-Aware Prompting for

Reference 22

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Large Language Models for Fault Localization: An Empirical Study , year = 2022, pages =

Reference 23

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Large Language Models for Fault Localization: An Empirical Study Proceedings of the 28th

Reference 24

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Large Language Models for Fault Localization: An Empirical Study Evaluating the

Reference 25

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Large Language Models for Fault Localization: An Empirical Study Unresolved cited work

Reference 26

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Large Language Models for Fault Localization: An Empirical Study Unresolved cited work

Reference 27

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Observation 83e9d265-ae81-4bca-9a92-5c37f353ee93 · outbound

This paper cites Can Automated Program Repair Refine Fault Localization? A Unified Debugging Approach , shorttitle =.

Large Language Models for Fault Localization: An Empirical Study Can Automated Program Repair Refine Fault Localization? A Unified Debugging Approach , shorttitle =

Reference 28

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Observation 9302ab3b-9af2-45fc-9114-921c06bd64ee · outbound

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Large Language Models for Fault Localization: An Empirical Study arXiv preprint arXiv:2503.21710 , year=

Reference 29

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Large Language Models for Fault Localization: An Empirical Study arXiv preprint arXiv:2506.23749 , year=

Reference 30

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Large Language Models for Fault Localization: An Empirical Study arXiv preprint arXiv:2503.22512 , year=

Reference 31

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Large Language Models for Fault Localization: An Empirical Study Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis , pages=

Reference 32

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Large Language Models for Fault Localization: An Empirical Study Unresolved cited work

Reference 33

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This paper cites Expert Systems with Applications , volume =.

Large Language Models for Fault Localization: An Empirical Study Expert Systems with Applications , volume =

Reference 34

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This paper cites Querying Large Automotive Software Models: Agentic vs. Direct LLM Approaches.

Large Language Models for Fault Localization: An Empirical Study Querying Large Automotive Software Models: Agentic vs. Direct LLM Approaches

Reference 35

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Large Language Models for Fault Localization: An Empirical Study ACM Transactions on Software Engineering and Methodology , volume =

Reference 36

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Large Language Models for Fault Localization: An Empirical Study Evaluating and

Reference 37

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Large Language Models for Fault Localization: An Empirical Study doi:10.1109/TSE.2022.3144348 , copyright =

Reference 38

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Large Language Models for Fault Localization: An Empirical Study Unresolved cited work

Reference 39

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Large Language Models for Fault Localization: An Empirical Study Deductive

Reference 40

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Large Language Models for Fault Localization: An Empirical Study Unresolved cited work

Reference 41

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Observation 5ec8f6ee-ea88-487d-b4c3-ecf958a9e204 · outbound

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Large Language Models for Fault Localization: An Empirical Study Refactoring

Reference 42

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Observation 9e57912f-bb5e-42f4-9411-807a50221dd7 · outbound

This paper cites an unresolved cited work.

Large Language Models for Fault Localization: An Empirical Study Unresolved cited work

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Observation c6acf306-b122-4e03-894e-2fe7ee64706b · outbound

This paper cites Proceedings of the.

Large Language Models for Fault Localization: An Empirical Study Proceedings of the

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Observation a17dddcd-3cf9-4212-8362-1970ac218aff · outbound

This paper cites and Ni, Lionel M.

Large Language Models for Fault Localization: An Empirical Study and Ni, Lionel M

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Observation 5bb5fdb0-5803-4294-91e9-6694c2b6e837 · outbound

This paper cites and Zhou, Denny , year = 2022, journal =.

Large Language Models for Fault Localization: An Empirical Study and Zhou, Denny , year = 2022, journal =

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Observation 4f6558da-d476-4e33-ae59-8ccb97e8977c · outbound

This paper cites Eric and Gao, Ruizhi and Li, Yihao and Abreu, Rui and Wotawa, Franz , year = 2016, journal =.

Large Language Models for Fault Localization: An Empirical Study Eric and Gao, Ruizhi and Li, Yihao and Abreu, Rui and Wotawa, Franz , year = 2016, journal =

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Observation 71b45c23-27b6-4dfc-a408-c84c252936f3 · outbound

This paper cites Large Language Models in Fault Localisation.

Large Language Models for Fault Localization: An Empirical Study Large Language Models in Fault Localisation

Reference 48

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Observation 46eb14e7-3065-48eb-8b30-a7e1d3387ca4 · outbound

This paper cites KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding.

Large Language Models for Fault Localization: An Empirical Study KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 50

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Observation dd79209a-29ba-4d54-b2bf-089ead920299 · outbound

This paper cites and Alon, Uri and Neubig, Graham and Hellendoorn, Vincent Josua , year = 2022, pages =.

Large Language Models for Fault Localization: An Empirical Study and Alon, Uri and Neubig, Graham and Hellendoorn, Vincent Josua , year = 2022, pages =

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Observation 11a1cd77-86b6-4526-9e60-5e5fbb0c050e · outbound

This paper cites Chain-of-.

Large Language Models for Fault Localization: An Empirical Study Chain-of-

Reference 52

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Observation 2c8d3bf5-7d10-4513-9664-4d18f8d60b77 · outbound

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Large Language Models for Fault Localization: An Empirical Study Unresolved cited work

Reference 53

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Observation d850e6a8-3148-49cb-803f-d214e368b75f · outbound

This paper cites an unresolved cited work.

Large Language Models for Fault Localization: An Empirical Study Unresolved cited work

Reference 54

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Observation 9ee033b3-e9a6-481d-834f-d5461c5dabe8 · outbound

This paper cites Journal of Software: Evolution and Process , volume =.

Large Language Models for Fault Localization: An Empirical Study Journal of Software: Evolution and Process , volume =

Reference 55

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Observation 1254ff03-2f9e-4eb0-9d38-88ed87309ae1 · outbound

This paper cites Proceedings of the 33rd.

Large Language Models for Fault Localization: An Empirical Study Proceedings of the 33rd

Reference 56

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Observation a8ef834d-5dc2-40fa-b318-218e8e59441a · outbound

This paper cites Context-Based.

Large Language Models for Fault Localization: An Empirical Study Context-Based

Reference 57

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Observation 8924b0d3-af3c-4fb8-bfef-d8ec14921471 · outbound

This paper cites an unresolved cited work.

Large Language Models for Fault Localization: An Empirical Study Unresolved cited work

Reference 58

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Observation b9bd9cf0-597e-4990-b678-ed2ebb8dc932 · outbound

This paper cites Research on the.

Large Language Models for Fault Localization: An Empirical Study Research on the

Reference 59

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Observation 9f2c3c5f-0739-4cc9-a92a-9faf7a93de40 · outbound

This paper cites Empirical.

Large Language Models for Fault Localization: An Empirical Study Empirical

Reference 60

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Observation 842bad1b-ecfd-4d3f-bb9b-b6bc3d4853c2 · outbound

This paper cites doi:10.1007/s10515-025-00549-x , url =.

Large Language Models for Fault Localization: An Empirical Study doi:10.1007/s10515-025-00549-x , url =

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Observation 5925ec68-5a56-49d7-aa9f-a24b10f96018 · outbound

This paper cites AgentFL: Scaling LLM-based Fault Localization to Project-Level Context.

Large Language Models for Fault Localization: An Empirical Study AgentFL: Scaling LLM-based Fault Localization to Project-Level Context

Reference 62

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Observation 018777d2-0805-40d9-b673-eddc9e5591e6 · outbound

This paper cites Automated.

Large Language Models for Fault Localization: An Empirical Study Automated

Reference 63

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Observation 817ba16c-e20f-4bec-a5ca-72495be42a8e · outbound

This paper cites , year = 2017, journal =.

Large Language Models for Fault Localization: An Empirical Study , year = 2017, journal =

Reference 64

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Observation c4ac1524-b3aa-4378-88b1-ea90045f4260 · outbound

This paper cites and Jones, Shawn and Biswas, Ayan and Alexandrov, Boian and O'Malley, Daniel , year = 2024, pages =.

Large Language Models for Fault Localization: An Empirical Study and Jones, Shawn and Biswas, Ayan and Alexandrov, Boian and O'Malley, Daniel , year = 2024, pages =

Reference 65

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Observation df7edd46-be73-4b2f-be6a-10c82a6264a3 · outbound

This paper cites Generating.

Large Language Models for Fault Localization: An Empirical Study Generating

Reference 66

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Observation ec1b2295-9e7e-4d51-8342-5b58c9362b3d · outbound

This paper cites an unresolved cited work.

Large Language Models for Fault Localization: An Empirical Study Unresolved cited work

Reference 67

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Observation 423e2523-3bc1-48d0-92ea-67631bc89822 · outbound

This paper cites Assessing the.

Large Language Models for Fault Localization: An Empirical Study Assessing the

Reference 68

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Observation 35d3add7-652d-47a7-9ff3-d07cdb2f1069 · outbound

This paper cites ICSE , pages=.

Large Language Models for Fault Localization: An Empirical Study ICSE , pages=

Reference 69

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Observation 8070078a-2410-4132-8bc9-f10254607bf1 · outbound

This paper cites Practitioners' Expectations on Automated Fault Localization , booktitle =.

Large Language Models for Fault Localization: An Empirical Study Practitioners' Expectations on Automated Fault Localization , booktitle =

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Observation 7d7936c5-d5b2-4e3f-8735-e069220aafc8 · outbound

This paper cites Trust Enhancement Issues in Program Repair , booktitle =.

Large Language Models for Fault Localization: An Empirical Study Trust Enhancement Issues in Program Repair , booktitle =

Reference 71

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Observation cdce415e-f4c0-4f43-bec0-1d2acb6e6036 · outbound

This paper cites doi:10.32657/10356/173910 , school =.

Large Language Models for Fault Localization: An Empirical Study doi:10.32657/10356/173910 , school =

Reference 72

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Observation 95b49edc-7f59-41a8-aa09-773d1554ad69 · outbound

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Large Language Models for Fault Localization: An Empirical Study Unresolved cited work

Reference 73

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Observation 80dc38e1-f49c-4657-907b-a948df56fa66 · outbound

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Large Language Models for Fault Localization: An Empirical Study Unresolved cited work

Reference 74

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Observation 523c2413-8c03-4332-8343-2c4b265fd72f · outbound

This paper cites Code-Line-Level Bugginess Identification:.

Large Language Models for Fault Localization: An Empirical Study Code-Line-Level Bugginess Identification:

Reference 75

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Observation 263a00dc-84f3-49c5-8e6d-27bce689b79a · outbound

This paper cites A Longitudinal Study of Static Analysis Warning Evolution and the Effects of.

Large Language Models for Fault Localization: An Empirical Study A Longitudinal Study of Static Analysis Warning Evolution and the Effects of

Reference 76

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Observation dd08931f-9f42-4992-88c9-58d16754accc · outbound

This paper cites IEEE Transactions On Software Engineering , volume =.

Large Language Models for Fault Localization: An Empirical Study IEEE Transactions On Software Engineering , volume =

Reference 77

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Observation 552eff98-9378-4e48-bc45-d84e025fd695 · outbound

This paper cites and Arana, Jasper Meynard and Casin, Ethan Robert and Monterola, Christopher and Tan, Daniel Stanley and Valenzuela, Jesus Felix B.

Large Language Models for Fault Localization: An Empirical Study and Arana, Jasper Meynard and Casin, Ethan Robert and Monterola, Christopher and Tan, Daniel Stanley and Valenzuela, Jesus Felix B

Reference 78

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Observation 0d3b7abc-0cff-454a-bc95-601c101c8387 · outbound

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Large Language Models for Fault Localization: An Empirical Study Bug Detection in

Reference 79

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Observation 8944ec6b-de0a-4641-aca6-098dfc3f2402 · outbound

This paper cites , year = 2026, eprint =.

Large Language Models for Fault Localization: An Empirical Study , year = 2026, eprint =

Reference 80

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Observation 0401c48e-4ffd-4c03-a26b-252178466d5b · outbound

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Large Language Models for Fault Localization: An Empirical Study , title =

Reference 81

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Observation c50ff799-3617-459e-a397-bbbfb7928f4c · outbound

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Large Language Models for Fault Localization: An Empirical Study 2025 , howpublished =

Reference 82

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Observation c8112b40-430b-4a73-8be5-6ee02ebc9112 · outbound

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Large Language Models for Fault Localization: An Empirical Study 2026 , howpublished =

Reference 83

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Pith citing papers

No inbound Pith citation observations are available.