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Paper Citation Record · LEDGER

The Impact of Fine-tuning Large Language Models on Automated Program Repair

As of 23 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 2 inbound Pith citation observations for arXiv:2507.19909.

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

pith.paper-citation-record.v1
2507.19909 v1

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:56:43.549197Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-04T01:06:07.000711Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T01:09:18.435888Z

Reference resolution

72 of 72 outbound references displayed

  • verified exact4
  • verified fuzzy19
  • unresolved37
  • parse uncertain0
  • malformed identifier5
  • metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 592e8a7b-0623-494d-b5b6-c18ec28d9e3a · outbound

This paper cites On the Automation of Fixing Software Bugs.

The Impact of Fine-tuning Large Language Models on Automated Program Repair On the Automation of Fixing Software Bugs

Reference 1

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metadata mismatch
raw_fallback, observed 2026-08-06T13:56:46.176029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:42.608294Z digest=sha256:75d996904e07b6514b5430a2cfe2850404376da45bf849a21ffe8d31e6e8dee1

Observation 3746f785-8437-48fb-8f0c-039596c5d6bd · outbound

This paper cites A Survey on Automated Program Repair Techniques.

The Impact of Fine-tuning Large Language Models on Automated Program Repair A Survey on Automated Program Repair Techniques

Reference 2

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no resolver link, observed 2026-08-06T13:56:42.743085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:42.743085Z digest=sha256:b9dc2bbd46fc118ba20a6901333aa6c0b10e0fb1b9cb60e9039438421c7a26ab

Observation 6cc6ec35-b63d-4cc2-a2c6-e24993bde2ff · outbound

This paper cites Getafix: Learning to Fix Bugs Automatically.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Getafix: Learning to Fix Bugs Automatically

Reference 3

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unresolved
no resolver link, observed 2026-08-06T13:56:42.794827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:42.794827Z digest=sha256:e8ba04526477487283101269124bf1d84df829e7cb0ca2c64ef0f0f89f4bd4aa

Observation 06d71ea9-dd80-4115-8bd7-55c4f6d20b38 · outbound

This paper cites DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons.

The Impact of Fine-tuning Large Language Models on Automated Program Repair DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons

Reference 4

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verified exact
local_arxiv, observed 2026-08-06T13:56:43.924196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:42.883088Z digest=sha256:c13f3028810c439169552062ce470ae7a83d601370d456b180496f859995d1df

Observation b1d4d99f-168d-483b-a35d-60c7eb9bcbd0 · outbound

This paper cites PyDex: Repairing Bugs in Introductory Python Assignments Using LLMs.

The Impact of Fine-tuning Large Language Models on Automated Program Repair PyDex: Repairing Bugs in Introductory Python Assignments Using LLMs

Reference 5

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no resolver link, observed 2026-08-06T13:56:43.049110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.049110Z digest=sha256:d06a009dc990ea89e062b173ce3353ef8010dedfbce05fb6f1f01183c58f62e3

Observation f2e0b01e-46ab-419b-98b3-bcf464451d07 · outbound

This paper cites Mining Fix Patterns for FindBugs Violations.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Mining Fix Patterns for FindBugs Violations

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:56:46.482116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.171632Z digest=sha256:1b5cb847838af154135f3d85fd10a3d7b202ba9620232c7c69413bf56287ef5f

Observation 3936e8ef-0ae2-4530-b03a-4e4a5ea8e3ba · outbound

This paper cites A V ATAR: Fixing Semantic Bugs with Fix Patterns of Static Analysis Violations.

The Impact of Fine-tuning Large Language Models on Automated Program Repair A V ATAR: Fixing Semantic Bugs with Fix Patterns of Static Analysis Violations

Reference 7

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metadata mismatch
raw_fallback, observed 2026-08-06T13:56:46.078243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.213722Z digest=sha256:e86413691206d85cff20b64653d58dd996b806d6e38f93a93e8bddafa62d33a5

Observation 66b1393e-bd51-4c51-81bd-cfeb362625e9 · outbound

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

The Impact of Fine-tuning Large Language Models on Automated Program Repair A Survey of Learning-Based Automated Program Repair

Reference 9

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no resolver link, observed 2026-08-06T13:56:43.226390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.226390Z digest=sha256:5a1ee900e31957029943aac74f18d3356d4d17041b7693b4982e283f3162ee9a

Observation ae916264-febc-4c63-b1a8-88c4367e04c9 · outbound

This paper cites Kaddour, J.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Kaddour, J

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-06T13:56:46.467955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.236654Z digest=sha256:ea831ccf65a683b88f1fa40293804cd655931453b5cbbf10bbb84b9cf0ff40f4

Observation aaedcf3a-5e26-46f5-82e8-5d6e911c0355 · outbound

This paper cites Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment

Reference 12

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no resolver link, observed 2026-08-06T13:56:43.246913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.246913Z digest=sha256:6cc1b863754e6af19b5ca82865d7ebc053264115ce9b30d8483a9438828d1fa2

Observation a7186e27-14d2-48ae-80d8-439082a23c47 · outbound

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

The Impact of Fine-tuning Large Language Models on Automated Program Repair CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T13:56:46.454357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.252245Z digest=sha256:1c3e49acd56aa08d1e854c6c762fdf1a9488e6a13196cbf6ce23ab282a29cf59

Observation eb8a6cd8-ebc5-4c06-9506-745d3464b98c · outbound

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

The Impact of Fine-tuning Large Language Models on Automated Program Repair CodeT5: Identifier-Aware Unified Pre-Trained Encoder-Decoder Models for Code Understanding and Generation

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:56:46.438646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.256567Z digest=sha256:79b49a7d2e23dbe0f652e868a0d703808ed95b69e148f46df5f3dee9847ee85e

Observation 84772236-be2d-4028-928f-29b8683301d8 · outbound

This paper cites BLOOM: A 176B-parameter Open-Access Multi- lingual Language Model.

The Impact of Fine-tuning Large Language Models on Automated Program Repair BLOOM: A 176B-parameter Open-Access Multi- lingual Language Model

Reference 15

Resolution
verified exact
raw_fallback, observed 2026-08-06T13:56:45.932990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.261366Z digest=sha256:c02c6f15ed415c54185b7ce91302ff89057e331c04da2b5945a07f66b114666d

Observation 907d9eaf-e516-4f22-81db-368daff54f5e · outbound

This paper cites Rozi `ere et al.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Rozi `ere et al

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-06T13:56:46.424701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.265813Z digest=sha256:eeae1195e29f313d1d919697b7a8a47a718b7cb4730e8d171bac694e4d74741a

Observation 5b6be87f-3457-4c8f-950f-55a3ecb47f34 · outbound

This paper cites StarCoder: May the Source Be with You!.

The Impact of Fine-tuning Large Language Models on Automated Program Repair StarCoder: May the Source Be with You!

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:56:46.410251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.276241Z digest=sha256:f9101497644c0fed61cf44730573deb1c3deb46d17975c83a4ebe4cc9c46506e

Observation 5359a065-0635-49d5-b00b-b161c46219c0 · outbound

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

The Impact of Fine-tuning Large Language Models on Automated Program Repair DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 18

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no resolver link, observed 2026-08-06T13:56:43.281354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.281354Z digest=sha256:87e8071e62c05e985f8037b0f174853ca815fe78ffecbe34ec75d8ad27470bbf

Observation 74bdf0c9-fff3-4bfe-8551-dd4f238f6c58 · outbound

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

The Impact of Fine-tuning Large Language Models on Automated Program Repair A Syntax-Guided Edit Decoder for Neural Program Re- pair

Reference 19

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no resolver link, observed 2026-08-06T13:56:43.287254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.287254Z digest=sha256:e506fae6f772d2c2abd86ea86e244a198f9f23352e0bdd02fa2f17f7c3abdb4e

Observation 13da4c98-f826-4f54-bd89-5fe89cfb17bc · outbound

This paper cites CodeBLEU: a Method for Automatic Evaluation of Code Synthesis.

The Impact of Fine-tuning Large Language Models on Automated Program Repair CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Reference 20

Resolution
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no resolver link, observed 2026-08-06T13:56:43.291737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.291737Z digest=sha256:89ead7960258815d9523f06fb470c82f113859fbdf0839a2367ab78c4d43ae9b

Observation d421aada-7b44-4e79-82db-fe7353755aa2 · outbound

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

The Impact of Fine-tuning Large Language Models on Automated Program Repair LoRA: Low-Rank Adaptation of Large Language Models

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:56:46.396398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.296523Z digest=sha256:3ddc05cfe3621ae76b483f65967198e3c8c6eba30e62aadf8ac12c303a33c301

Observation 16ab3530-54e9-4b68-b452-007e947deb0f · outbound

This paper cites Few-Shot Parameter-Efficient Fine-Tuning Is Better and Cheaper than in-Context Learning.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Few-Shot Parameter-Efficient Fine-Tuning Is Better and Cheaper than in-Context Learning

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:56:46.381910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.302888Z digest=sha256:ce58a87fecaf76846d92b63bc75d99b15334b8e8608d4d35a66457847b1dc142

Observation 3e2a92d8-877a-4c7e-9447-586b4561bfb3 · outbound

This paper cites Mach ´aˇcek, A.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Mach ´aˇcek, A

Reference 23

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no resolver link, observed 2026-08-06T13:56:43.307547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.307547Z digest=sha256:045713a698513b745186e76e0b676b782ba34515238df62bc885b6dddb7f6958

Observation e95cd696-8280-41f5-9171-20b366ea8e74 · outbound

This paper cites Attention Is All You Need.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Attention Is All You Need

Reference 24

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raw_fallback, observed 2026-08-06T13:56:46.363310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.312269Z digest=sha256:7f9e5b2b1f914e49d13e1af1421195430d3ed827bfa4ebb184343327a1233e90

Observation c3672983-1154-45a2-bbe2-792aabdfdacc · outbound

This paper cites Efficient Training of Language Models to Fill in the Middle.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Efficient Training of Language Models to Fill in the Middle

Reference 25

Resolution
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no resolver link, observed 2026-08-06T13:56:43.317361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.317361Z digest=sha256:872ef49ae9d5200fdd931d260ceb0d37bdd06086dcd11a78b91a1636a558758c

Observation db6b42d0-2d59-426a-8e59-17d364da3929 · outbound

This paper cites APPT: Boosting Automated Patch Correctness Prediction via Fine- Tuning Pre-Trained Models.

The Impact of Fine-tuning Large Language Models on Automated Program Repair APPT: Boosting Automated Patch Correctness Prediction via Fine- Tuning Pre-Trained Models

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-06T13:56:46.348399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.322231Z digest=sha256:66b977620af432fbfcc53e70d70d2d71b23d21ee5ad387d8a7f0f8ed3b43a3e3

Observation a88e1d95-4368-418d-b37f-c11d544f1c86 · outbound

This paper cites Fine-Tuning Large Language Models to Improve Accuracy and Comprehensibility of Automated Code Review.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Fine-Tuning Large Language Models to Improve Accuracy and Comprehensibility of Automated Code Review

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-06T13:56:46.332058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.326726Z digest=sha256:b636ae6f7f60e494cdb757a13d1806946fad10bc05d36f9c1785185805a688a7

Observation 6c45ffbe-2a68-41df-8886-2ddbbdd7bb72 · outbound

This paper cites A Large-Scale Empirical Study on Fine-Tuning Large Language Models for Unit Testing.

The Impact of Fine-tuning Large Language Models on Automated Program Repair A Large-Scale Empirical Study on Fine-Tuning Large Language Models for Unit Testing

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T13:56:43.330894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.330894Z digest=sha256:2f1ca749e6e4249b4d645a3a61cf974302b09d4e55ed43d3160bc55983f14992

Observation 51d43612-c744-4492-b096-17759522de55 · outbound

This paper cites Towards Efficient Fine-Tuning of Language Models with Organizational Data for Automated Software Review.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Towards Efficient Fine-Tuning of Language Models with Organizational Data for Automated Software Review

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:56:46.316194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.335721Z digest=sha256:77ff74bdbb75dce572bd415495af5e433f2502a4796ed12232597e1e8dc70543

Observation 5267a889-b3d0-4f30-a085-bfb39309b7b7 · outbound

This paper cites Towards Understanding the Mixture-of-Experts Layer in Deep Learning.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Towards Understanding the Mixture-of-Experts Layer in Deep Learning

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:56:46.300114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.345086Z digest=sha256:e4b79efd28a3b871aa171471cf566e2683fae763c3049e7fa9eb72e479ab1e65

Observation 3e4610ad-4d26-455a-92e8-7d2a725b66d5 · outbound

This paper cites an unresolved cited work.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Unresolved cited work

Reference 31

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raw_fallback, observed 2026-08-06T13:56:46.285754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.350086Z digest=sha256:62bccd79b745284607b4fac83914abd6f88da3276c2ecbcca8f6e223952c9fab

Observation c6f40009-af31-4868-82ba-80655481c766 · outbound

This paper cites Intrinsic Dimension- ality Explains the Effectiveness of Language Model Fine-Tuning.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Intrinsic Dimension- ality Explains the Effectiveness of Language Model Fine-Tuning

Reference 32

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malformed identifier
no resolver link, observed 2026-08-06T13:56:43.360613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.360613Z digest=sha256:0f58468a9c7d1a7e8aa1695b3cf7e276b6e75651eaa2653d22b0865b736dd2d0

Observation b0f6e3c8-b283-4fb9-9b27-41e5c801c647 · outbound

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

The Impact of Fine-tuning Large Language Models on Automated Program Repair Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models

Reference 33

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no resolver link, observed 2026-08-06T13:56:43.365581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.365581Z digest=sha256:7f34f924caa7bbbf8cf12411cc4934b04dbc5f0705ded939a9372522c72871be

Observation eb46f639-9ebc-4b10-a9d8-f2c6a5616724 · outbound

This paper cites Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models

Reference 34

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unresolved
no resolver link, observed 2026-08-06T13:56:43.370443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.370443Z digest=sha256:b22db039305f0a50912ebff0de3419199a44ae830cf4f028273b4121de7bf903

Observation 45f4249e-d232-46c9-b5f8-584cf7d8e4db · outbound

This paper cites Resource-Efficient & Effective Code Summarization.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Resource-Efficient & Effective Code Summarization

Reference 35

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malformed identifier
no resolver link, observed 2026-08-06T13:56:43.375299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.375299Z digest=sha256:ca0d5a8111e60bc8a9276264d358dfb787248bc739fdcf7109f718068f701864

Observation faae2f94-665b-4e1f-9df7-3724c72cc20c · outbound

This paper cites TransRepair: Context-Aware Program Repair for Compilation Errors.

The Impact of Fine-tuning Large Language Models on Automated Program Repair TransRepair: Context-Aware Program Repair for Compilation Errors

Reference 36

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metadata mismatch
raw_fallback, observed 2026-08-06T13:56:45.583670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.379543Z digest=sha256:64851332255191c1abbec21d07ea2925bfed31b4f07fed429f836e766b4107f4

Observation 7663a06c-61ee-4995-b5ae-d89834d51ecb · outbound

This paper cites Break-It-Fix-It: Unsupervised Learning for Program Repair.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Break-It-Fix-It: Unsupervised Learning for Program Repair

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-06T13:56:46.270578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.384450Z digest=sha256:e57c01fdd9fcd6513d05cb7cf4133e7fc408d2f9092c12314f2a90ffb1171d85

Observation 20abde7c-110a-4c7d-ba5a-064088072020 · outbound

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

The Impact of Fine-tuning Large Language Models on Automated Program Repair Automated Program Repair in the Era of Large Pre-Trained Language Models

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.389772Z digest=sha256:c2579b6110e6c8184a921f8c109c3869dd201131ccea6bba5e27578869c49bd1

Observation 15b29496-3937-4ca0-a96b-fe0409f3f24f · outbound

This paper cites VulRepair: A T5-based Automated Software Vulnerability Repair.

The Impact of Fine-tuning Large Language Models on Automated Program Repair VulRepair: A T5-based Automated Software Vulnerability Repair

Reference 39

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no resolver link, observed 2026-08-06T13:56:43.395029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.395029Z digest=sha256:6e0d9cfd5a9f6b65b24d22f66307e495203917406dd177d92cede11f63d5bc32

Observation 0e03551b-c763-4869-9cd7-a8a5a66d1c02 · outbound

This paper cites Examin- ing Zero-Shot Vulnerability Repair with Large Language Models.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Examin- ing Zero-Shot Vulnerability Repair with Large Language Models

Reference 40

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.399584Z digest=sha256:7505439c5290d942cb5406d5daf5a99e3f2ea768de8fadc4ee0edba26a18c231

Observation cc9e1ce2-355a-45a3-af4b-3d3d028aebbe · outbound

This paper cites LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward.

The Impact of Fine-tuning Large Language Models on Automated Program Repair LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward

Reference 41

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no resolver link, observed 2026-08-06T13:56:43.405073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.405073Z digest=sha256:3ce5f3af12e056e426013e502b7119d1176dd07993b0a91f9bed0cf425439f6c

Observation bdff69c1-e1f2-4627-8aac-009fd5ca72ac · outbound

This paper cites DLFix: Context-Based Code Trans- formation Learning for Automated Program Repair.

The Impact of Fine-tuning Large Language Models on Automated Program Repair DLFix: Context-Based Code Trans- formation Learning for Automated Program Repair

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T13:56:43.411038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.411038Z digest=sha256:494512c2ce55f49e0374ca4136433d3751bf2726b1463f29c16aba0d3684470b

Observation 89f39b79-3318-4e1b-87d0-981d3264895e · outbound

This paper cites Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities

Reference 43

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T13:56:45.264298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.417793Z digest=sha256:f107038bcc91d38c0e4cd2cc8fa4899873e42cf841ba4208b4d3cb2d8a350252

Observation 2d36e013-3e82-40ed-aef5-a71cf93ea8ed · outbound

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

The Impact of Fine-tuning Large Language Models on Automated Program Repair CoCoNuT: Combining Context-Aware Neural Translation Models Using Ensemble for Program Repair

Reference 44

Resolution
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no resolver link, observed 2026-08-06T13:56:43.423821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.423821Z digest=sha256:55a359ea071de71986035253220ef0848f35661f2d8b742106fd69a8dd9d2dd5

Observation a4f3196e-3179-4d86-98ae-1892d4d7bed7 · outbound

This paper cites Review4Repair: Code Review Aided Automatic Program Repairing.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Review4Repair: Code Review Aided Automatic Program Repairing

Reference 45

Resolution
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no resolver link, observed 2026-08-06T13:56:43.429069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.429069Z digest=sha256:3e4369affb1c91a9665e4033d292f6bc8839b8d384695e516773808250bfe3b9

Observation b1ae72c2-b6b6-4110-aca0-a2f2bfe0595e · outbound

This paper cites Grammar-Based Patches Generation for Automated Program Repair.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Grammar-Based Patches Generation for Automated Program Repair

Reference 46

Resolution
verified exact
doi, observed 2026-08-06T13:56:43.677518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.433626Z digest=sha256:498a7a83896bcf7bcf81e063ff64849b6b41b11f029b77ce8aed13577a4b3919

Observation 7c177624-e5f7-4dd2-8543-e586e8b1641d · outbound

This paper cites CURE: Code-Aware Neural Ma- chine Translation for Automatic Program Repair.

The Impact of Fine-tuning Large Language Models on Automated Program Repair CURE: Code-Aware Neural Ma- chine Translation for Automatic Program Repair

Reference 47

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no resolver link, observed 2026-08-06T13:56:43.438740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.438740Z digest=sha256:8ebb8c188ddb4711e354aa4a933dff60454cdb36bf1aa258375efee7a3d87bde

Observation face6356-13b4-4336-811d-4bb6319fdfb3 · outbound

This paper cites DEAR: A Novel Deep Learning- Based Approach for Automated Program Repair.

The Impact of Fine-tuning Large Language Models on Automated Program Repair DEAR: A Novel Deep Learning- Based Approach for Automated Program Repair

Reference 48

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no resolver link, observed 2026-08-06T13:56:43.443804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.443804Z digest=sha256:3930e02c2da2b1ae13381741dcf9e1acfe1f1494c0f352a7a8bce69368500c39

Observation 9822a34f-9b7f-4585-9391-d2f436f84021 · outbound

This paper cites CIRCLE: Continual Repair across Programming Languages.

The Impact of Fine-tuning Large Language Models on Automated Program Repair CIRCLE: Continual Repair across Programming Languages

Reference 49

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no resolver link, observed 2026-08-06T13:56:43.448495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.448495Z digest=sha256:8ea4d33a660896a69ab1cd30c71978cb8f7ab675178115455bb688133fcc46d6

Observation d8e5c143-89c9-43e7-930d-f42c92c478dd · outbound

This paper cites Sk p: A Neural Program Corrector for MOOCs.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Sk p: A Neural Program Corrector for MOOCs

Reference 50

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T13:56:44.767873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.452779Z digest=sha256:69415b6ddfd99f5e6a2549eb0bd760f93f6568f2b215f39992a2a4d3062dfbe9

Observation df68474d-3b4c-47c6-8286-0669510a316b · outbound

This paper cites Graph-Based, Self-Supervised Program Repair from Diagnostic Feedback.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Graph-Based, Self-Supervised Program Repair from Diagnostic Feedback

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:56:46.255813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.457330Z digest=sha256:8ab991d34567ec7070762e36ca9b1d68a3a761da8f55082baac9a0d0e4509716

Observation 3e5e6550-f03a-403e-ac18-47b9c2ca7613 · outbound

This paper cites RepairNet: Contextual Sequence-to-Sequence Network for Automated Program Repair.

The Impact of Fine-tuning Large Language Models on Automated Program Repair RepairNet: Contextual Sequence-to-Sequence Network for Automated Program Repair

Reference 52

Resolution
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no resolver link, observed 2026-08-06T13:56:43.462402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.462402Z digest=sha256:b28e10720bbb97422612ca5f2df7b5081c490fd74180c25bac49de11aff198a7

Observation 5bb050bd-4281-42bb-9c0f-3f33e3e543de · outbound

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

The Impact of Fine-tuning Large Language Models on Automated Program Repair RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair

Reference 53

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no resolver link, observed 2026-08-06T13:56:43.467037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.467037Z digest=sha256:5a96a70f69082733b489960c1214437bac87d01f8eb52bd033483262f803c20a

Observation 0a0a54a5-c9f2-4cce-8b6f-6a192e52acbc · outbound

This paper cites Enhancing Automated Program Repair through Fine-tuning and Prompt Engineering.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Enhancing Automated Program Repair through Fine-tuning and Prompt Engineering

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T13:56:43.471998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.471998Z digest=sha256:36df0a3465701ecf024bbfeb009a63f6dcffb630f6bc92badbe78a0a98214edd

Observation 3f3d542e-2b00-459b-b04a-b625512283a6 · outbound

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

The Impact of Fine-tuning Large Language Models on Automated Program Repair An Analysis of the Automatic Bug Fixing Performance of ChatGPT

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T13:56:43.477723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.477723Z digest=sha256:2d1aa106f8eec4571530b6ef13f5456773e12ad6daf8ec431b3d9b5d315e62d8

Observation 004da468-0f0d-442e-af51-2fcba067c3fe · outbound

This paper cites Multi-Objective Fine-Tuning for Enhanced Program Repair with Llms.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Multi-Objective Fine-Tuning for Enhanced Program Repair with Llms

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T13:56:43.482895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.482895Z digest=sha256:bdd2d0895a2b95934137b4a4b8e2d185665a843e7299591cd54130280ffb0d7b

Observation a1c4eb4e-8157-49f7-b18a-5b757e533f9c · outbound

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

The Impact of Fine-tuning Large Language Models on Automated Program Repair Exploring Parameter-Efficient Fine-Tuning of Large Language Model on Automated Program Repair

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:56:44.537046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.487323Z digest=sha256:2b5b9e9d1e7431cf0571c93203946b2d32767e32f1ada223c53425340d9d791d

Observation a6bc28a5-ccc8-4013-8339-98c7f9be0e13 · outbound

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

The Impact of Fine-tuning Large Language Models on Automated Program Repair Exploring Parameter- Efficient Fine-Tuning of Large Language Model on Automated Pro- gram Repair

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:56:46.239680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.493489Z digest=sha256:5c8fbb1e2204fd66f04c3655f30f18837647d196999ab071c407fda33fc51690

Observation 3f0ce4f6-d735-4c8f-b83d-992683ab9375 · outbound

This paper cites Comprehensive Fine-Tuning Large Language Models of Code for Automated Program Repair.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Comprehensive Fine-Tuning Large Language Models of Code for Automated Program Repair

Reference 59

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T13:56:44.410178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.502509Z digest=sha256:b82d18d9b7efa4db74094d34e3cba6b36c13fb3316973df883bb0160d6f16bdd

Observation da9a916a-d1eb-4eb7-98eb-6305f9b21867 · outbound

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

The Impact of Fine-tuning Large Language Models on Automated Program Repair Defects4J: A Database of Existing Faults to Enable Controlled Testing Studies for Java Programs

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:56:46.221985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.507330Z digest=sha256:84a9bddfa4f9239e3f53f74b24b9bf44c30b0c31837ab1d13c23caddd76dbe06

Observation 5e8c2aea-af1d-4b2f-8295-23e69471687c · outbound

This paper cites QuixBugs: A Multi-Lingual Program Repair Benchmark Set Based on the Quixey Challenge.

The Impact of Fine-tuning Large Language Models on Automated Program Repair QuixBugs: A Multi-Lingual Program Repair Benchmark Set Based on the Quixey Challenge

Reference 61

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T13:56:44.205860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.517676Z digest=sha256:c9c82ddc524551f0406cb5e01735f14d528b48556460f658034fce931ab4f54e

Observation 104429c9-0927-476a-9768-81bcd4b64c02 · outbound

This paper cites Chen et al.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Chen et al

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:56:46.206581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.521642Z digest=sha256:8720bf29ad5443a8e9b703163a12f8793dde4eee9b52f0b0702d65018750a2af

Observation 7e89ad57-cb5e-4eff-81cc-2ae3144c3de3 · outbound

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

The Impact of Fine-tuning Large Language Models on Automated Program Repair Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 63

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unresolved
no resolver link, observed 2026-08-06T13:56:43.530640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.530640Z digest=sha256:05d53435d26f55afcf3b9fd900ec3c07c50044e1f9bcf5c4cd110d218e303aba

Observation 14987d44-9d37-415e-b847-e5a80856088c · outbound

This paper cites Bleu: A Method for Automatic Evaluation of Machine Translation.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Bleu: A Method for Automatic Evaluation of Machine Translation

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-06T13:56:43.535500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.535500Z digest=sha256:6dbcc1f4de20445d710f052ce1cb3810e4bde66d2eea04936aa0530cbaa3dc01

Observation 9fe413c7-58bf-4898-9e96-d1ffe76321fb · outbound

This paper cites CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.

The Impact of Fine-tuning Large Language Models on Automated Program Repair CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:56:46.190671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.539931Z digest=sha256:a2e7cfd7cf68751fa42cf22c767373b8130e7be58c660430d1e9ac08e43179b7

Observation b9bc3f4d-12b0-49cc-a5de-0b114545caaf · outbound

This paper cites Benchmark Data Contamination of Large Language Models: A Survey.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Benchmark Data Contamination of Large Language Models: A Survey

Reference 66

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no resolver link, observed 2026-08-06T13:56:43.544573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.544573Z digest=sha256:9630f504ac12589101954b92acd874db9b9b649e05f42173428dc92efb47c87c

Observation 0693e54d-4835-469c-a084-6b4178b3661e · outbound

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

The Impact of Fine-tuning Large Language Models on Automated Program Repair Automated Patch Correctness Assessment: How Far Are We?

Reference 67

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no resolver link, observed 2026-08-06T13:56:43.549197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.549197Z digest=sha256:964534f2eb9a255358a1129cbbcc1fbc2ac74f238b6ae58b956a06b8f97301e9

Observation d7c7989b-40a1-4a9d-9d06-657472f9ba21 · outbound

This paper cites an unresolved cited work.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Unresolved cited work

Reference 440

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unresolved
no resolver link, observed 2026-08-06T13:56:43.512626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.512626Z digest=sha256:60a36b0fc4d12d44dad6398d41b0925db2e666c66f50629ab7dff0cf13951abd

Observation 232f361d-9741-42cf-9740-e5894a9d65b2 · outbound

This paper cites an unresolved cited work.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Unresolved cited work

Reference 731

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unresolved
no resolver link, observed 2026-08-06T13:56:43.498024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.498024Z digest=sha256:a061848e5e11297a2919a89e5cd6c13e748e800080d9c31cb244d4f68bd6b158

Observation 6c666f4a-f787-4ae2-a9d6-b821b52f3554 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Evaluating Large Language Models Trained on Code

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T13:56:43.526092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.526092Z digest=sha256:43df60c78359fd189cc50dd03cbd8033857c1156e99c0945217111acfe182c12

Observation 16c5e78a-5b62-4fea-9144-3a5ce06dd795 · outbound

This paper cites Challenges and Applications of Large Language Models.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Challenges and Applications of Large Language Models

Reference 2023

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unresolved
no resolver link, observed 2026-08-06T13:56:43.241891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.241891Z digest=sha256:ed1bd352720288a439b1b10040d8055cc061bb425ee937258cef120c59b233b4

Observation 896c5694-fb08-4388-96dc-1f882eba1ac2 · outbound

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

The Impact of Fine-tuning Large Language Models on Automated Program Repair Code Llama: Open Foundation Models for Code

Reference 2024

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unresolved
no resolver link, observed 2026-08-06T13:56:43.270491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.270491Z digest=sha256:59d36fb850b01b9d6f2024e1aea8b482f1328a6d629cec1e4753f3b98d08a541

Observation 9cefb741-dab2-4fa3-b600-254db2f6d04e · outbound

This paper cites A Systematic Literature Review of Parameter-Efficient Fine-Tuning for Large Code Models.

The Impact of Fine-tuning Large Language Models on Automated Program Repair A Systematic Literature Review of Parameter-Efficient Fine-Tuning for Large Code Models

Reference 2025

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unresolved
no resolver link, observed 2026-08-06T13:56:43.355089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:43.355089Z digest=sha256:0af0b2d188fa35d3e7ad79d41015bc4723d906c267e84bb93b4ed7325c7e91da

Observation b93453d7-7eb5-4124-9da2-8ff8e3f05694 · outbound

This paper cites an unresolved cited work.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Unresolved cited work

Reference 2253

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T13:56:45.759718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:43.340562Z digest=sha256:9669e36c9200738cd76bd06fc16585a4538b9effd892a11fea7b4c4c98d9f99b

Pith citing papers

Observation 6681f6c8-eb8d-4f43-bff5-f534f5abbab6 · inbound

BLAgent: Agentic RAG for File-Level Bug Localization cites this paper.

BLAgent: Agentic RAG for File-Level Bug Localization The Impact of Fine-tuning Large Language Models on Automated Program Repair

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-20T09:33:10.683990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-20T09:31:20.736748Z digest=sha256:191e5f6a8358d4634eab15f14e19b901a01b20153b22bc829c9528afe659242f

Observation 23da9313-a93d-4636-8ebc-d090b6734190 · inbound

BLAgent: Agentic RAG for File-Level Bug Localization cites this paper.

BLAgent: Agentic RAG for File-Level Bug Localization The Impact of Fine-tuning Large Language Models on Automated Program Repair

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:09:18.437370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-04T01:06:07.000711Z digest=sha256:df7c519b3cdbf54be49f410f45abcf97072f7811b67b3089f0a65bee730f0e3b