Paper Citation Record · LEDGER

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports

As of 19 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2504.20911.

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

pith.paper-citation-record.v1
2504.20911 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:19:35.825984Z

measured 41 of 41 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T20:24:34.351543Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T20:25:05.432931Z

Reference resolution

40 of 40 outbound references displayed

verified exact2
verified fuzzy13
unresolved19
parse uncertain0
malformed identifier3
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 48c161f0-e378-4af4-aeeb-6b92353010c3 · outbound

This paper cites Make your llm fully utilize the context.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Make your llm fully utilize the context

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:37.151370Z

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 b9858325-5782-41c4-834a-ea9732833af7 · outbound

This paper cites From text to source: Results in detecting large language model- generated content, 2024.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports From text to source: Results in detecting large language model- generated content, 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:37.135557Z

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 d6ecc7be-36e9-44bd-af00-897e6afdb352 · outbound

This paper cites an unresolved cited work.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T05:19:35.638924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9991d50a-aa72-4a26-b62b-ed0f7f4a6731 · outbound

This paper cites Quality of bug reports in eclipse.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Quality of bug reports in eclipse

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:37.119543Z

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 8cd3c631-5580-4ec3-a408-648a179e985a · outbound

This paper cites an unresolved cited work.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:19:37.102245Z

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 f57062f4-c431-434c-9eff-611a17529a5f · outbound

This paper cites Language Models are Few-Shot Learners.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Language Models are Few-Shot Learners

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T05:19:35.663210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 200acacc-8bf2-423c-a0fb-2f7d39f633db · outbound

This paper cites Not all bugs are the same: Under- standing, characterizing, and classifying bug types.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Not all bugs are the same: Under- standing, characterizing, and classifying bug types

Reference 7

Resolution: malformed identifier; no resolver link, observed 2026-08-16T05:19:35.668220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d64d3cc-a238-4537-9471-7cb51499f3f0 · outbound

This paper cites What’s in a bug report? In Proceedings of the 8th ACM/IEEE Interna- tional Symposium on Empirical Software Engineering and Measurement , ESEM ’14, New York, NY , USA,.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports What’s in a bug report? In Proceedings of the 8th ACM/IEEE Interna- tional Symposium on Empirical Software Engineering and Measurement , ESEM ’14, New York, NY , USA,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:37.086210Z

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 16e3dd8f-6442-405f-8b85-44e98e981636 · outbound

This paper cites an unresolved cited work.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T05:19:35.688817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bb971f2-3823-4e9b-835c-99e213cdbb31 · outbound

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

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T05:19:35.694888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d78cd655-c4b4-470c-aa90-726e92fb521c · outbound

This paper cites Guo, Thomas Zimmermann, Nachiappan Na- gappan, and Brendan Murphy.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Guo, Thomas Zimmermann, Nachiappan Na- gappan, and Brendan Murphy

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T05:19:35.700245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93445700-3470-4d32-a4cc-7298e94b7402 · outbound

This paper cites German, Jesus M.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports German, Jesus M

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T05:19:35.704944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7814cd06-530b-4e01-9fc1-0e75d28a1ea4 · outbound

This paper cites Large language models for software engineering: A systematic literature review.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Large language models for software engineering: A systematic literature review

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T05:19:35.709633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dbc5228-c5b4-4ece-8824-589ff8cafeb9 · outbound

This paper cites Software maintenance implications on cost and schedule.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Software maintenance implications on cost and schedule

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T05:19:35.714649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fb462ae-3d9b-4162-837a-f4bc45dd83a2 · outbound

This paper cites Uncovering the causes of emotions in soft- ware developer communication using zero-shot llms.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Uncovering the causes of emotions in soft- ware developer communication using zero-shot llms

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T05:19:35.719431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48d1c83a-7257-407e-9a14-c36d78112e40 · outbound

This paper cites Jira software catagories.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Jira software catagories

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:37.069505Z

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 087ce19e-1630-4cfd-aa07-45ce5daadfc3 · outbound

This paper cites A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T05:19:35.730414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98fdeca6-4686-409e-9d9b-4190f9dc0839 · outbound

This paper cites Automatic unsupervised bug report categorization.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Automatic unsupervised bug report categorization

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:37.053487Z

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 5961be13-f3ba-4aa6-87b3-652c187b68ea · outbound

This paper cites Summary of chatgpt- related research and perspective towards the future of large language models.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Summary of chatgpt- related research and perspective towards the future of large language models

Reference 20

Resolution: malformed identifier; no resolver link, observed 2026-08-16T05:19:35.745159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2665ceae-56dc-437c-bd41-8594997ed86c · outbound

This paper cites Ausum: approach for unsupervised bug report summarization.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Ausum: approach for unsupervised bug report summarization

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:37.037386Z

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 4976c890-7e37-4f6c-9343-3bd1cf05fc7e · outbound

This paper cites Murphy, and Gabriel Murray.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Murphy, and Gabriel Murray

Reference 22

Resolution: metadata mismatch; raw_fallback, observed 2026-08-16T05:19:36.145525Z

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 460561ee-49ce-4c73-b377-8d119224b3ac · outbound

This paper cites an unresolved cited work.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Unresolved cited work

Reference 23

Resolution: verified exact; doi, observed 2026-08-16T05:19:35.890671Z

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 80f58605-2066-44fe-a7f8-dfce5bb072b3 · outbound

This paper cites Correlation coefficients: appropriate use and interpreta- tion.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Correlation coefficients: appropriate use and interpreta- tion

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:37.021013Z

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 b990dddf-dabe-43b5-87fd-a7b1be62809a · outbound

This paper cites Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face,.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:37.004480Z

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 b1edecfd-9851-473c-b79f-6593208f7eb9 · outbound

This paper cites The significance of bug report elements.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports The significance of bug report elements

Reference 26

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T05:19:36.987245Z

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 2172efc8-6d0f-408b-b0e8-7615e96491d0 · outbound

This paper cites Improved du- plicate bug report identification.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Improved du- plicate bug report identification

Reference 27

Resolution: verified exact; doi, observed 2026-08-16T05:19:35.874864Z

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 a64cc236-3a3f-46c1-b3e5-46a5a71a136f · outbound

This paper cites Control-flow based anomaly detection in the bug-fixing process of open-source projects.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Control-flow based anomaly detection in the bug-fixing process of open-source projects

Reference 28

Resolution: metadata mismatch; raw_fallback, observed 2026-08-16T05:19:36.067140Z

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 4240e287-ccc7-4e3d-89f8-9071ee175726 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T05:19:35.796553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20357bc2-6a43-4c65-89cf-5f30018435e8 · outbound

This paper cites Chatgpt prompt patterns for improving code quality, refactoring, requirements elicitation, and software design.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Chatgpt prompt patterns for improving code quality, refactoring, requirements elicitation, and software design

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:36.971480Z

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 ed30b9be-413c-4fe8-b9bf-b47528cb3954 · outbound

This paper cites Using spearman’s correlation coef- ficients for exploratory data analysis on big dataset.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Using spearman’s correlation coef- ficients for exploratory data analysis on big dataset

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:36.953782Z

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 a494eff4-8463-4f2d-937e-e072546ae208 · outbound

This paper cites DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T05:19:35.811432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff477ed9-a37c-4357-85e8-b39a3defe418 · outbound

This paper cites A survey on bug-report analysis.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports A survey on bug-report analysis

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:36.936837Z

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 2a865ae9-781c-42ad-9a93-1fccbf10712d · outbound

This paper cites Hybrid LLM/Rule-based Approaches to Business Insights Generation from Structured Data.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Hybrid LLM/Rule-based Approaches to Business Insights Generation from Structured Data

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T05:19:35.791508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 216f2d5a-d0f1-4814-859d-c186accbbfc9 · outbound

This paper cites Combining text mining and data mining for bug report classification.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Combining text mining and data mining for bug report classification

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:36.920908Z

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 5c9a154f-852d-4956-bb7a-ec88206b5e92 · outbound

This paper cites an unresolved cited work.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T05:19:35.821168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09f897b7-9d58-4eef-8899-3c6626c99c87 · outbound

This paper cites ISBN 9781605580159.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports ISBN 9781605580159

Reference 2007

Resolution: metadata mismatch; raw_fallback, observed 2026-08-16T05:19:36.841569Z

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 a74404b2-d681-4358-a8eb-199bd33ecf5d · outbound

This paper cites ISBN 9781595939951.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports ISBN 9781595939951

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-16T05:19:35.658613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca91691f-0885-449a-b8f4-8396b1b0559c · outbound

This paper cites ISBN 9781450316149.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports ISBN 9781450316149

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-16T05:19:35.754353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e0e1b78-2775-4023-a0ff-c1c765a534dc · outbound

This paper cites ISBN 9781450327749.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports ISBN 9781450327749

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-16T05:19:35.683463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 371e3606-2c11-49fb-ad49-dbd3fd400720 · outbound

This paper cites HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face.

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T05:19:35.777224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 46d264d0-f525-4bb6-940f-6d112e2185cd · inbound

GitBugs: Bug Reports for Duplicate Detection, Retrieval Augmented Generation, Triage, and More cites this paper.

GitBugs: Bug Reports for Duplicate Detection, Retrieval Augmented Generation, Triage, and More An Empirical Study on the Capability of LLMs in Decomposing Bug Reports

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-22T20:25:05.434488Z

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.