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Paper Citation Record · LEDGER

Large Language Models for Software Engineering: A Systematic Literature Review

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 72 inbound Pith citation observations for arXiv:2308.10620.

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

pith.paper-citation-record.v1
2308.10620 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 72 of 72 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:17:35.259506Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

116
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 58b65e0e-10f7-4313-8b3a-2c5aef213568 · inbound

Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs cites this paper.

Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs Large Language Models for Software Engineering: A Systematic Literature Review

Reference 39

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arxiv_id, observed 2026-05-24T08:14:10.396065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-24T08:11:01.612343Z digest=sha256:9afed407e160844fda5c75c6e1ccb1a210f5711012bc9ba10afd7c24daa09ab2

Observation 92cc1d46-845a-405f-aff6-5e49ba2d32d2 · inbound

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology cites this paper.

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology Large Language Models for Software Engineering: A Systematic Literature Review

Reference 11

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arxiv_id, observed 2026-05-24T03:58:51.165127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-24T03:58:32.556725Z digest=sha256:7074fb9e27f9f63f52d38ec9a58b40bce2fee2330abf980f9faedfb2771646c0

Observation fce6a6c5-45b7-4da0-8bb1-703455ba3d94 · inbound

StarCoder 2 and The Stack v2: The Next Generation cites this paper.

StarCoder 2 and The Stack v2: The Next Generation Large Language Models for Software Engineering: A Systematic Literature Review

Reference 214

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arxiv_id, observed 2026-05-12T17:28:22.818724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-12T17:28:22.353355Z digest=sha256:18fccd82fe96611fabf825eb019f52cca27031163b9f1d0f4b3b6231988c5262

Observation 963744e9-fd3d-42d8-8c3d-26803208c635 · inbound

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

A Survey on Large Language Models for Code Generation Large Language Models for Software Engineering: A Systematic Literature Review

Reference 102

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arxiv_id, observed 2026-05-13T20:18:06.526885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T20:18:06.304134Z digest=sha256:42185bbfd7b9c8d5e0d62efb751ab0839fd0ebd8c6de97606327713e352f7748

Observation 8b981a48-9616-4e36-bed4-85af95f0e189 · inbound

Towards Agentic Runtime Healing cites this paper.

Towards Agentic Runtime Healing Large Language Models for Software Engineering: A Systematic Literature Review

Reference 22

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arxiv_id, observed 2026-05-23T22:15:50.013465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-23T22:14:23.865122Z digest=sha256:a46e1d773c24c91bf0c47859b1917358189ed5d27e290a68a4406de16ad4e698

Observation 752e56ea-c90d-4bfa-8b46-28c5380e341d · inbound

Human-In-the-Loop Software Development Agents cites this paper.

Human-In-the-Loop Software Development Agents Large Language Models for Software Engineering: A Systematic Literature Review

Reference 3

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no resolver link, observed 2026-08-12T17:06:33.927014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:06:33.927014Z digest=sha256:75c80f364865d8063892e3a6caed51a07511de78b145f42b326e4c0aca030699

Observation c98449f9-fd4c-4965-b249-d7d226fe62b0 · inbound

A Preliminary Study of Multilingual Code Language Models for Code Generation Task Using Translated Benchmarks cites this paper.

A Preliminary Study of Multilingual Code Language Models for Code Generation Task Using Translated Benchmarks Large Language Models for Software Engineering: A Systematic Literature Review

Reference 16

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no resolver link, observed 2026-08-12T14:18:33.292513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:18:33.292513Z digest=sha256:91e67b3854dfd965334d18445abef7046621942aa2d5ea118e55f2492580a0e8

Observation 8521a478-f0dd-45c1-b20e-382c6a303209 · inbound

Redefining Crowdsourced Test Report Prioritization: An Innovative Approach with Large Language Model cites this paper.

Redefining Crowdsourced Test Report Prioritization: An Innovative Approach with Large Language Model Large Language Models for Software Engineering: A Systematic Literature Review

Reference 24

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no resolver link, observed 2026-08-12T12:40:26.673350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:40:26.673350Z digest=sha256:9495191229ecabc925fa807c6e9f88cfc15fc5c1baef1c5f2dd6d0e4cf560093

Observation 5c952517-67fa-4ecd-a0d6-1a4c14c51d23 · inbound

A Real-World Benchmark for Evaluating Fine-Grained Issue Solving Capabilities of Large Language Models cites this paper.

A Real-World Benchmark for Evaluating Fine-Grained Issue Solving Capabilities of Large Language Models Large Language Models for Software Engineering: A Systematic Literature Review

Reference 2023

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no resolver link, observed 2026-08-12T11:39:33.734856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:39:33.734856Z digest=sha256:5bb8bdbed95a7cf3c6d8e887b31f4838a2bc1afee1a326ebf28a5c911d719b7e

Observation ebc343ee-c0a7-49b3-af7b-e3c793d6dfc4 · inbound

RECOVER: Toward Requirements Generation from Stakeholders' Conversations cites this paper.

RECOVER: Toward Requirements Generation from Stakeholders' Conversations Large Language Models for Software Engineering: A Systematic Literature Review

Reference 19

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no resolver link, observed 2026-08-12T10:09:17.078839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:09:17.078839Z digest=sha256:1b7572db5d530bb6a84fbc954dfe103c16e04a71a9662b62f6a8e437fd200728

Observation 7b3a8f28-7c37-4f98-b29c-a7e055fb928b · inbound

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study cites this paper.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Large Language Models for Software Engineering: A Systematic Literature Review

Reference 18

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no resolver link, observed 2026-08-11T23:10:06.368198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:10:06.368198Z digest=sha256:2301ddc2c7892a0b45a366fa3708201b7b266e46aaabb816528b543b77483356

Observation f31aa540-2032-48e7-9664-79b18562d5af · inbound

Beyond pip install: Evaluating LLM Agents for the Automated Installation of Python Projects cites this paper.

Beyond pip install: Evaluating LLM Agents for the Automated Installation of Python Projects Large Language Models for Software Engineering: A Systematic Literature Review

Reference 32

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no resolver link, observed 2026-08-11T19:53:24.058225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:53:24.058225Z digest=sha256:a4cda9b71489ded478ff6bea3e2d633b13378e248883bda4bb1c2814f00f4c1a

Observation dd62d257-a8f0-4988-a590-c4e0d0d65213 · inbound

ContextModule: Improving Code Completion via Repository-level Contextual Information cites this paper.

ContextModule: Improving Code Completion via Repository-level Contextual Information Large Language Models for Software Engineering: A Systematic Literature Review

Reference 12

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no resolver link, observed 2026-08-11T18:19:32.120357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:32.120357Z digest=sha256:52c9a3866e13afb63db60f186298820040226f0df40193a13b9595d742a09524

Observation f58a681a-9d26-409e-9f44-8e22d8437291 · inbound

Doc2OracLL: Investigating the Impact of Documentation on LLM-based Test Oracle Generation cites this paper.

Doc2OracLL: Investigating the Impact of Documentation on LLM-based Test Oracle Generation Large Language Models for Software Engineering: A Systematic Literature Review

Reference 2023

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no resolver link, observed 2026-08-11T17:10:28.018877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:10:28.018877Z digest=sha256:5810de8843c86a1018d338904810a62ea5c4dab752846655513e00df858353ac

Observation d46ee9ab-d462-46c6-808c-a5ab22df9f69 · inbound

On the Compression of Language Models for Code: An Empirical Study on CodeBERT cites this paper.

On the Compression of Language Models for Code: An Empirical Study on CodeBERT Large Language Models for Software Engineering: A Systematic Literature Review

Reference 4

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no resolver link, observed 2026-08-11T12:53:58.296181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:53:58.296181Z digest=sha256:9cda5914ab225467be0d2adec77c86ff46e2fa0bad0064911eeabb351f2996f5

Observation c25af8c4-81b4-4568-8894-971bf4a69188 · inbound

CodeRepoQA: A Large-scale Benchmark for Software Engineering Question Answering cites this paper.

CodeRepoQA: A Large-scale Benchmark for Software Engineering Question Answering Large Language Models for Software Engineering: A Systematic Literature Review

Reference 7

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no resolver link, observed 2026-08-11T11:57:50.890632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:57:50.890632Z digest=sha256:691cd6bf628fd63ab2639e9ec53b3284d7ea9b31df068832ae317ec8976265df

Observation 6f5ba801-f5cf-4a37-81a9-0929ba69230d · inbound

Less is More: Towards Green Code Large Language Models via Unified Structural Pruning cites this paper.

Less is More: Towards Green Code Large Language Models via Unified Structural Pruning Large Language Models for Software Engineering: A Systematic Literature Review

Reference 22

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no resolver link, observed 2026-08-11T11:02:15.313246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:02:15.313246Z digest=sha256:3e4ec67a1cc113a2ff68ad43337bc239607fcaae27b36484b27fd5e4ce3042c2

Observation f4f74590-04a7-4853-9631-8017ff85e09b · inbound

Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation cites this paper.

Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation Large Language Models for Software Engineering: A Systematic Literature Review

Reference 6

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no resolver link, observed 2026-08-11T10:48:53.457222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:48:53.457222Z digest=sha256:86185bd7aba17c20076e2998c4f73c31c589c9ee12aa4f5d754c58f77f073178

Observation 0ea43298-6941-4b23-b023-ca77a89e231c · inbound

A Large-scale Empirical Study on Fine-tuning Large Language Models for Unit Testing cites this paper.

A Large-scale Empirical Study on Fine-tuning Large Language Models for Unit Testing Large Language Models for Software Engineering: A Systematic Literature Review

Reference 24

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no resolver link, observed 2026-08-11T10:27:17.918992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:27:17.918992Z digest=sha256:9178f96800ef7ac9199a4318052b6bc93344a8af6a4e4a469267616d605eed2e

Observation 3d56431b-6218-46dd-9fac-20a0900bfc0f · inbound

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models cites this paper.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Large Language Models for Software Engineering: A Systematic Literature Review

Reference 17

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no resolver link, observed 2026-08-11T05:32:16.442692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:32:16.442692Z digest=sha256:f5a1e39c818ad7df987c609f14a40e28da4fe3974a447b3b9e07715cf8a1d2de

Observation 4d9ecac9-151a-43ad-b860-7d228f0c2ce1 · inbound

Distilling Desired Comments for Enhanced Code Review with Large Language Models cites this paper.

Distilling Desired Comments for Enhanced Code Review with Large Language Models Large Language Models for Software Engineering: A Systematic Literature Review

Reference 6

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no resolver link, observed 2026-08-10T23:28:51.126116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:28:51.126116Z digest=sha256:015344cb9891eec385c8a40a6e9e156cb4bd9700f59c625239d1bab6ae2e7d3e

Observation 9ef4fcd9-24e8-4e0e-ba6b-0f480cdd2faa · inbound

Finding Missed Code Size Optimizations in Compilers using LLMs cites this paper.

Finding Missed Code Size Optimizations in Compilers using LLMs Large Language Models for Software Engineering: A Systematic Literature Review

Reference 9

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no resolver link, observed 2026-08-10T22:49:03.235561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:49:03.235561Z digest=sha256:c93edda88a1759887d07c0e5b0ddcf5b4925d5b1f389ffa6f39d90922004e400

Observation b1092fc1-6161-40f4-8561-e3ca89e112d1 · inbound

Do LLMs Provide Links to Code Similar to what they Generate? A Study with Gemini and Bing CoPilot cites this paper.

Do LLMs Provide Links to Code Similar to what they Generate? A Study with Gemini and Bing CoPilot Large Language Models for Software Engineering: A Systematic Literature Review

Reference 26

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no resolver link, observed 2026-08-10T17:31:10.782076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:31:10.782076Z digest=sha256:3401ec07934087b161c995327bacbfc0bfd7d5f6fb067d061782c0d85987a2b3

Observation 079d7725-2524-4250-9f3e-d358492df668 · inbound

Do LLMs Provide Links to Code Similar to what they Generate? A Study with Gemini and Bing CoPilot cites this paper.

Do LLMs Provide Links to Code Similar to what they Generate? A Study with Gemini and Bing CoPilot Large Language Models for Software Engineering: A Systematic Literature Review

Reference 2023

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no resolver link, observed 2026-08-10T17:31:10.786533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:31:10.786533Z digest=sha256:695d56b2163f5919b2f93f6bd6b96c86fc244f26d2749aa4ee9e8f37c6bb730e

Observation bb88804d-a70e-4206-bad9-df5c088a9e5b · inbound

Code Change Intention, Development Artifact and History Vulnerability: Putting Them Together for Vulnerability Fix Detection by LLM cites this paper.

Code Change Intention, Development Artifact and History Vulnerability: Putting Them Together for Vulnerability Fix Detection by LLM Large Language Models for Software Engineering: A Systematic Literature Review

Reference 2023

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no resolver link, observed 2026-08-10T14:48:57.512565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:48:57.512565Z digest=sha256:8221ddc71ba8c9e4822ca694483ace380160f2aba7f1b7fbb7de81f4fe1fdbd3

Observation 4756500f-10b9-467f-8f51-40da7f011d84 · inbound

Analysis of LLMs vs Human Experts in Requirements Engineering cites this paper.

Analysis of LLMs vs Human Experts in Requirements Engineering Large Language Models for Software Engineering: A Systematic Literature Review

Reference 1

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no resolver link, observed 2026-08-09T20:40:32.653277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:40:32.653277Z digest=sha256:003022049be444cd852a21e6691f70d8999e3ac03c913baa88c60e272c67ff9a

Observation fa8318ee-dcd3-44db-91c1-d797af860515 · inbound

Code Simulation as a Proxy for High-order Tasks in Large Language Models cites this paper.

Code Simulation as a Proxy for High-order Tasks in Large Language Models Large Language Models for Software Engineering: A Systematic Literature Review

Reference 16

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no resolver link, observed 2026-08-09T04:32:42.287128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T04:32:42.287128Z digest=sha256:eab001c2aceee3c9e3de733b0c1a650eb47cb62f60177360dedd0c3fb886c01f

Observation 143ce95f-62d5-4b17-8f5f-6d258e976fe6 · inbound

Automating a Complete Software Test Process Using LLMs: An Automotive Case Study cites this paper.

Automating a Complete Software Test Process Using LLMs: An Automotive Case Study Large Language Models for Software Engineering: A Systematic Literature Review

Reference 2

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no resolver link, observed 2026-08-08T23:57:03.349664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:57:03.349664Z digest=sha256:009a48d4403bb6c243760b3d57f3b49d981e6a0fa63a409c3d54e4b80993c217

Observation de1a3493-6bd5-436c-b038-af8b2bd7d887 · inbound

Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering cites this paper.

Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering Large Language Models for Software Engineering: A Systematic Literature Review

Reference 17

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no resolver link, observed 2026-08-08T16:31:38.559051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:31:38.559051Z digest=sha256:eb675cf39bca4dbc150e0c2bb84d80a9c1fd83697f07f79bfe317c1ef37feecb

Observation e0f47d91-cb12-42d2-9876-523c7129287c · inbound

Optimizing Token Consumption in LLMs: A Nano Surge Approach for Code Reasoning Efficiency cites this paper.

Optimizing Token Consumption in LLMs: A Nano Surge Approach for Code Reasoning Efficiency Large Language Models for Software Engineering: A Systematic Literature Review

Reference 4

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no resolver link, observed 2026-08-16T11:17:35.259506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:17:35.259506Z digest=sha256:992843ea61461559d7507912edaa439c291bffc636126145ae67aef0f2c9245c

Observation a366fab6-16d0-4ff3-9bf5-4ff0270d8c32 · inbound

LLMpatronous: Harnessing the Power of LLMs For Vulnerability Detection cites this paper.

LLMpatronous: Harnessing the Power of LLMs For Vulnerability Detection Large Language Models for Software Engineering: A Systematic Literature Review

Reference 7

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no resolver link, observed 2026-08-16T10:19:47.735776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:19:47.735776Z digest=sha256:019e29f90e28e5e7fbb57e5d3ba5352f43d65cec21dd2ec991837749f7bfb6be

Observation 19d00516-0329-4d1e-a4c4-33fbd979b8f1 · inbound

Comparative Analysis of Carbon Footprint in Manual vs. LLM-Assisted Code Development cites this paper.

Comparative Analysis of Carbon Footprint in Manual vs. LLM-Assisted Code Development Large Language Models for Software Engineering: A Systematic Literature Review

Reference 30

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no resolver link, observed 2026-08-15T23:31:10.369521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:31:10.369521Z digest=sha256:86a8e2dc7c1831456a958c4847960a4f53b04effc65e43ae75830fce12037806

Observation daaf38cf-c2b0-40cf-8aca-4195583af795 · inbound

BinMetric: A Comprehensive Binary Analysis Benchmark for Large Language Models cites this paper.

BinMetric: A Comprehensive Binary Analysis Benchmark for Large Language Models Large Language Models for Software Engineering: A Systematic Literature Review

Reference 31

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no resolver link, observed 2026-08-15T22:23:45.604795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:23:45.604795Z digest=sha256:5227541425d0c242bd129d1efc3d325d26bb9352b9bd1e5c92367a3bb957b90b

Observation e7ffdd6e-a690-447d-a287-0745da9f861f · inbound

PatchTrack: A Comprehensive Analysis of ChatGPT's Influence on Pull Request Outcomes cites this paper.

PatchTrack: A Comprehensive Analysis of ChatGPT's Influence on Pull Request Outcomes Large Language Models for Software Engineering: A Systematic Literature Review

Reference 36

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verified exact
arxiv_id, observed 2026-05-22T16:14:58.884871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T16:13:03.957779Z digest=sha256:7cf29bbf0ca06c18f39ca638cbcdc877dfa54a5efbc7a2e04cefb1e3e9348341

Observation ca58a551-d335-44ba-9eb6-312449d84261 · inbound

Knowledge Graph Based Repository-Level Code Generation cites this paper.

Knowledge Graph Based Repository-Level Code Generation Large Language Models for Software Engineering: A Systematic Literature Review

Reference 5

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no resolver link, observed 2026-08-07T15:38:21.776451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:38:21.776451Z digest=sha256:322095d0b345cddd2816f401370111a57aad7f7c99a6ac047d3e5e6d00b9b9c9

Observation 4974d9a7-0bc3-4e05-acd1-80d4f69be230 · inbound

Leveraging Large Language Models for Command Injection Vulnerability Analysis in Python: An Empirical Study on Popular Open-Source Projects cites this paper.

Leveraging Large Language Models for Command Injection Vulnerability Analysis in Python: An Empirical Study on Popular Open-Source Projects Large Language Models for Software Engineering: A Systematic Literature Review

Reference 20

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no resolver link, observed 2026-08-07T15:29:07.891230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:29:07.891230Z digest=sha256:ccdd80d208aca53721c8ba32e78fbc79405915cf0f79b9f36da543f07bba905e

Observation 024347ab-f9a1-48f7-9775-dc1269507ec0 · inbound

A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain cites this paper.

A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain Large Language Models for Software Engineering: A Systematic Literature Review

Reference 23

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unresolved
no resolver link, observed 2026-08-07T14:46:00.136973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:00.136973Z digest=sha256:c2ee54bb0b24e59e32672a08f43ed9e98e65237e61b471c1b0e90fb9a25bab30

Observation 32113471-a8b7-4923-9850-9af0f4475126 · inbound

LLM Performance for Code Generation on Noisy Tasks cites this paper.

LLM Performance for Code Generation on Noisy Tasks Large Language Models for Software Engineering: A Systematic Literature Review

Reference 1

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unresolved
no resolver link, observed 2026-08-07T12:45:40.068254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:40.068254Z digest=sha256:2b3c9c3b913858efdc4f5a09572947adda75caeca0f302a0f32448f45a6daf3c

Observation e12d899e-0bb8-419c-b6e8-58920b7b3028 · inbound

Evaluating the Performance and Efficiency of Sentence-BERT for Code Comment Classification cites this paper.

Evaluating the Performance and Efficiency of Sentence-BERT for Code Comment Classification Large Language Models for Software Engineering: A Systematic Literature Review

Reference 10

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unresolved
no resolver link, observed 2026-08-07T05:12:42.933953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:12:42.933953Z digest=sha256:debdd25e21ba3b44107b9b1c36494047d45fe57805e31c1089f5f667174cd878

Observation b5eb7935-f47c-4b0b-898b-7f69faa644b8 · inbound

ELFuzz: Efficient Input Generation via LLM-driven Synthesis Over Fuzzer Space cites this paper.

ELFuzz: Efficient Input Generation via LLM-driven Synthesis Over Fuzzer Space Large Language Models for Software Engineering: A Systematic Literature Review

Reference 40

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unresolved
no resolver link, observed 2026-08-07T04:39:48.969431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:39:48.969431Z digest=sha256:399e517733ccbeaf25e178d5dfce58130c343cfc87466e68ad6d6e2769367f28

Observation 4c9852d7-afa9-4ee7-8a1c-cee49d963594 · inbound

Extracting Knowledge Graphs from User Stories using LangChain cites this paper.

Extracting Knowledge Graphs from User Stories using LangChain Large Language Models for Software Engineering: A Systematic Literature Review

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T21:30:35.992450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:30:35.992450Z digest=sha256:6aaa1eea2619493fce14e7d124a841ba7e6a0de4072d772573ce8614be76dfac

Observation 5a6ed35a-4553-4f53-a659-76f2ebaf4d85 · inbound

Augmenting the Generality and Performance of Large Language Models for Software Engineering cites this paper.

Augmenting the Generality and Performance of Large Language Models for Software Engineering Large Language Models for Software Engineering: A Systematic Literature Review

Reference 13

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unresolved
no resolver link, observed 2026-08-07T04:06:06.446728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:06:06.446728Z digest=sha256:937f17fba33ae15bdefc5b7f3b880b01f73c77489f66a4f55bee330464f14e83

Observation 8e662d74-7016-482e-a020-4bf0e1743a1c · inbound

The role of large language models in UI/UX design: A systematic literature review cites this paper.

The role of large language models in UI/UX design: A systematic literature review Large Language Models for Software Engineering: A Systematic Literature Review

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T19:49:17.301964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:49:17.301964Z digest=sha256:49f6718705a457657bb73f1b7407d4d26a6faacf8e11ae169de877a78f86524d

Observation f5ee6666-9f37-46e1-a914-ed438125c404 · inbound

Static Analysis as a Feedback Loop: Enhancing LLM-Generated Code Beyond Correctness cites this paper.

Static Analysis as a Feedback Loop: Enhancing LLM-Generated Code Beyond Correctness Large Language Models for Software Engineering: A Systematic Literature Review

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T18:40:05.627097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:40:05.627097Z digest=sha256:bef5d1c3a9dd3a9e37c6169d94d8391ac5665ab34094b30209d269e21a71cb91

Observation 74c7d181-b0d7-4632-bae3-d44f585b9bae · inbound

EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention cites this paper.

EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention Large Language Models for Software Engineering: A Systematic Literature Review

Reference 22

Resolution
malformed identifier
arxiv_id, observed 2026-05-18T20:56:51.796198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-18T20:54:30.449792Z digest=sha256:8b2dac1655d4dae09035204ad965359cd654d0bf1558d93fd0f6f0f356db0d41

Observation 03e06574-ea5d-41aa-84a1-e53e7ac8e4ac · inbound

Symphony: A Decentralized Multi-Agent Framework for Scalable Collective Intelligence cites this paper.

Symphony: A Decentralized Multi-Agent Framework for Scalable Collective Intelligence Large Language Models for Software Engineering: A Systematic Literature Review

Reference 7

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unresolved
no resolver link, observed 2026-08-05T15:18:04.596443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:18:04.596443Z digest=sha256:f918caf056d62d0748ffa4ae465b4d82f71905fa007d270d1065c9b1d02fc7f2

Observation 7e27745e-8c82-47a2-be16-1ba00ef53074 · inbound

Development of Automated Software Design Document Review Methods Using Large Language Models cites this paper.

Development of Automated Software Design Document Review Methods Using Large Language Models Large Language Models for Software Engineering: A Systematic Literature Review

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T18:26:17.786155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:26:17.786155Z digest=sha256:58f570c0dd859865281a94a762d4fb919a20ca8a1269adc28f7ca6dd05522bf8

Observation 32817274-bbab-48c5-96f1-77f8fb489bbe · inbound

Neurosymbolic Characterization for Reliable Access Control Policy Analysis cites this paper.

Neurosymbolic Characterization for Reliable Access Control Policy Analysis Large Language Models for Software Engineering: A Systematic Literature Review

Reference 2024

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unresolved
no resolver link, observed 2026-08-04T08:28:59.282250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:28:59.282250Z digest=sha256:55d10a8973ec78706f4c03f0b5ba1a7553eb746968675d46b2a05fadbc979693

Observation 3f0c45f9-9b90-4ae2-a54e-c43e527117b7 · inbound

From Competition to Collaboration: Designing Sustainable Mechanisms Between LLMs and Online Forums cites this paper.

From Competition to Collaboration: Designing Sustainable Mechanisms Between LLMs and Online Forums Large Language Models for Software Engineering: A Systematic Literature Review

Reference 26

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metadata mismatch
arxiv_id, observed 2026-05-16T07:47:33.209534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T07:42:48.141279Z digest=sha256:02b375d82d57aa9fb31633c7a69e5167184f0a3c46d610074b30473b4deb8904

Observation 733eddb8-9708-4607-8e36-06df871ad089 · inbound

Comparing AI Coding Agents: A Task-Stratified Analysis of Pull Request Acceptance cites this paper.

Comparing AI Coding Agents: A Task-Stratified Analysis of Pull Request Acceptance Large Language Models for Software Engineering: A Systematic Literature Review

Reference 13

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verified exact
arxiv_id, observed 2026-05-16T05:27:23.155421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T05:24:20.173293Z digest=sha256:dad1972da381a811e584edef8e73907220d12485c5f85e74cf5475d88801b47f

Observation 40b3328d-0721-40a8-afbe-a236deac92f2 · inbound

SGAgent: Suggestion-Guided LLM-Based Multi-Agent Framework for Repository-Level Software Repair cites this paper.

SGAgent: Suggestion-Guided LLM-Based Multi-Agent Framework for Repository-Level Software Repair Large Language Models for Software Engineering: A Systematic Literature Review

Reference 14

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unresolved
no resolver link, observed 2026-08-02T20:17:26.823662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:17:26.823662Z digest=sha256:b29e2d9c04f3215e0bdfcbbb03de6320f5943adcdb4f5dcd836fb2ca225128c3

Observation 4e757045-7894-4665-b5e7-adb4d597c79f · inbound

Story Point Estimation Using Large Language Models cites this paper.

Story Point Estimation Using Large Language Models Large Language Models for Software Engineering: A Systematic Literature Review

Reference 18

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metadata mismatch
arxiv_id, observed 2026-05-15T15:30:07.568241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T15:27:47.957035Z digest=sha256:32470b3761100b1ce28d1f16e517c68b83743c22bca2f8605e16c800fb80f23d

Observation eaa4c4d7-6f1c-44b4-b9d5-eb68861a47b4 · inbound

An End-to-End Approach for Fixing Concurrency Bugs via SHB-Based Context Extractor cites this paper.

An End-to-End Approach for Fixing Concurrency Bugs via SHB-Based Context Extractor Large Language Models for Software Engineering: A Systematic Literature Review

Reference 18

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verified exact
arxiv_id, observed 2026-05-10T23:05:49.735964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T19:20:22.353790Z digest=sha256:11553da7ec57fde0a2546b2e58a28e279d14975dcd60474c015b15b8cb5d7b4d

Observation d974bb2b-b5af-4156-b016-c7dc292b7231 · inbound

Fairness in Multi-Agent Systems for Software Engineering: An SDLC-Oriented Rapid Review cites this paper.

Fairness in Multi-Agent Systems for Software Engineering: An SDLC-Oriented Rapid Review Large Language Models for Software Engineering: A Systematic Literature Review

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:26:00.812227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T17:11:23.553461Z digest=sha256:ea63ccea5b5487ff97e5b4d6782aa651bc311b862ca78479723c92a654a2e9a5

Observation 053d8230-1adf-4e5b-a991-b9883a1004a6 · inbound

VeriGraphi: A Multi-Agent Framework of Hierarchical RTL Generation for Large Hardware Designs cites this paper.

VeriGraphi: A Multi-Agent Framework of Hierarchical RTL Generation for Large Hardware Designs Large Language Models for Software Engineering: A Systematic Literature Review

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T09:33:41.306803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T09:32:19.100780Z digest=sha256:4850a0a317217e9454f379d7115445ecc252a8974b51746503b34f2d61feb9d9

Observation 34050579-9297-4051-a37a-2a44baf507f0 · inbound

AI Observability for Developer Productivity Tools: Bridging Cost Awareness and Code Quality cites this paper.

AI Observability for Developer Productivity Tools: Bridging Cost Awareness and Code Quality Large Language Models for Software Engineering: A Systematic Literature Review

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:11:20.363745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T06:08:22.980591Z digest=sha256:95ab913f9e77b0af67720e8cba3774d9d0f7b5cafcc6f9eef21ea6c8add315f4

Observation cc599e4a-241a-44c5-a4df-cfb488a53adf · inbound

A Quasi-Experimental Developer Study of Security Training in LLM-Assisted Web Application Development cites this paper.

A Quasi-Experimental Developer Study of Security Training in LLM-Assisted Web Application Development Large Language Models for Software Engineering: A Systematic Literature Review

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T09:28:39.213943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T05:17:02.494233Z digest=sha256:b1b740ef419213129e789df2a450b27907f5cc92c21796132145860a004e9a68

Observation a04c0624-fd0e-44af-a889-afc9e10886d2 · inbound

Do Agents Dream of Root Shells? Partial-Credit Evaluation of LLM Agents in Capture the Flag Challenges cites this paper.

Do Agents Dream of Root Shells? Partial-Credit Evaluation of LLM Agents in Capture the Flag Challenges Large Language Models for Software Engineering: A Systematic Literature Review

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-10T02:38:17.356926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T02:37:42.036074Z digest=sha256:4876f876e3cb627f7668397f4eedc3502de504994ec92482170426e2f43e98b3

Observation eff0b7c3-63a6-45f4-a25c-c796059e5077 · inbound

RepoDoc: A Knowledge Graph-Based Framework to Automatic Documentation Generation and Incremental Updates cites this paper.

RepoDoc: A Knowledge Graph-Based Framework to Automatic Documentation Generation and Incremental Updates Large Language Models for Software Engineering: A Systematic Literature Review

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:16:27.930859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-07T11:33:21.671482Z digest=sha256:d14fb7e6701a46820944e583e0e28ef1edf6672e69ae127ff89c5715f14a627e

Observation 384eeb16-a467-4bc9-afb9-fce0ce240207 · inbound

ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation cites this paper.

ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation Large Language Models for Software Engineering: A Systematic Literature Review

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:36:25.869818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-07T10:33:28.276228Z digest=sha256:92c2de217c1c715c536480a76778cfb85b764ad5b28c593fc3ccff63b9ee3df2

Observation 6ea9e117-ce83-47d7-ab52-cbfef8ab3290 · inbound

Correctness-Aware Repository Filtering Under Maximum Effective Context Window Constraints cites this paper.

Correctness-Aware Repository Filtering Under Maximum Effective Context Window Constraints Large Language Models for Software Engineering: A Systematic Literature Review

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T02:38:34.597337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T02:37:57.481847Z digest=sha256:ee21ad151faf90d232c24f9f77301faa4f1ad1626285d2c6939d6b76ed8824da

Observation 1d47b72d-fde6-4832-a7e9-0a352cb71fda · inbound

Why Are Agentic Pull Requests Merged or Rejected? An Empirical Study cites this paper.

Why Are Agentic Pull Requests Merged or Rejected? An Empirical Study Large Language Models for Software Engineering: A Systematic Literature Review

Reference 9

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verified exact
arxiv_id, observed 2026-05-22T03:54:34.034891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T03:53:03.807297Z digest=sha256:109c6b31b314358cc320defe67f44f9e52b781f81d9a8f90dd068d211b63970d

Observation 7a49d6c0-f6bd-4610-9823-70c1695562f0 · inbound

An Empirical Evaluation of LLM-Generated Code Security Across Prompting Methods cites this paper.

An Empirical Evaluation of LLM-Generated Code Security Across Prompting Methods Large Language Models for Software Engineering: A Systematic Literature Review

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-30T15:34:48.536714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-30T15:17:26.306332Z digest=sha256:2dccad4cf1c29b294baaec5c563144959c83cecf544a41da67f8dced9f5717b3

Observation ef5dc589-ff48-493d-979b-8d6731c16830 · inbound

Human agency in initial human-AI proof formalization workflows cites this paper.

Human agency in initial human-AI proof formalization workflows Large Language Models for Software Engineering: A Systematic Literature Review

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-07-02T04:06:34.778577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-28T09:29:50.282874Z digest=sha256:c5a3843f83e217389e9c388a681b44deab921c280d1f34a4e6f29bf751a796de

Observation fbe21da0-c42a-4690-80f8-b9061a8657f6 · inbound

Description-Code Inconsistency in Real-world MCP Servers: Measurement, Detection, and Security Implications cites this paper.

Description-Code Inconsistency in Real-world MCP Servers: Measurement, Detection, and Security Implications Large Language Models for Software Engineering: A Systematic Literature Review

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T08:36:47.836172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T05:57:36.882346Z digest=sha256:106843a9af6db1529cfa838c6c12fa259edf1311eeccee511ffa0c23f92e658f

Observation f38378b4-b2ca-4635-b163-b8f86a3b2d6e · inbound

TokenMizer: Graph-Structured Session Memory for Long-Horizon LLM Context Management cites this paper.

TokenMizer: Graph-Structured Session Memory for Long-Horizon LLM Context Management Large Language Models for Software Engineering: A Systematic Literature Review

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T13:06:59.140932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T01:35:01.565343Z digest=sha256:fa1b21d5f3d3d9fa68691c412f1243df7f416abc07f556ec6bb66fbc9921ffc3

Observation 063392e4-8686-4c0b-a01d-75cefa03c333 · inbound

TokenMizer: Graph-Structured Session Memory for Long-Horizon LLM Context Management cites this paper.

TokenMizer: Graph-Structured Session Memory for Long-Horizon LLM Context Management Large Language Models for Software Engineering: A Systematic Literature Review

Reference 17

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unresolved
no resolver link, observed 2026-07-12T15:01:23.012119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T15:01:23.012119Z digest=sha256:9f2932ddcf0b9cda6d71205be7b4e71c0338d4afafc9bf34a41abefc34c41e3b

Observation e5d7271d-4a89-4a50-aa98-ffb3fdfa1bbe · inbound

What makes a harness a harness: necessary and sufficient conditions for an agent harness cites this paper.

What makes a harness a harness: necessary and sufficient conditions for an agent harness Large Language Models for Software Engineering: A Systematic Literature Review

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T19:31:10.857984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T15:15:57.372858Z digest=sha256:1826a494d321756b6852cd858adf29d5150afea4b76b7c7044fdb7a10cde8426

Observation dd08e9a1-43b7-49c9-9e7f-7817c973ba2f · inbound

Qiskit Code Migration with LLMs cites this paper.

Qiskit Code Migration with LLMs Large Language Models for Software Engineering: A Systematic Literature Review

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-06-26T16:29:35.795455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-26T16:24:25.357338Z digest=sha256:f319c34232909c8c89686121b6186c8f55257c97a1c437bc69d851a6fe63d1ad

Observation 2af7b620-17cb-400b-b79f-3ce92f3fb208 · inbound

Test Case Selection for Deep Neural Networks: A Replication Study on LLMs for Code cites this paper.

Test Case Selection for Deep Neural Networks: A Replication Study on LLMs for Code Large Language Models for Software Engineering: A Systematic Literature Review

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-06-29T00:52:55.668122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T00:47:54.236329Z digest=sha256:4c8f5d90a7be387221eed8331bb9bc7632e70927a1fd6594b23e7e2e97f1682e

Observation 41803b1f-4364-43cd-a182-8b4c4b8c3eb4 · inbound

Towards Automated Formal Verification of zkEVMs Using LLM-Guided Constraint Synthesis cites this paper.

Towards Automated Formal Verification of zkEVMs Using LLM-Guided Constraint Synthesis Large Language Models for Software Engineering: A Systematic Literature Review

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T11:47:34.991122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:47:34.991122Z digest=sha256:4ebbd34f79ace8ff3593dc7edee4fe21892c7eadc89ca1a0cd450e0bcd56ee66

Observation f664027a-b4da-4d11-8713-93be1639e024 · inbound

MultiFixer: A Coordinator-Proposer Based Multi-Agent Framework For Fixing Multi-Hunk Bugs cites this paper.

MultiFixer: A Coordinator-Proposer Based Multi-Agent Framework For Fixing Multi-Hunk Bugs Large Language Models for Software Engineering: A Systematic Literature Review

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T12:46:59.047354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:46:59.047354Z digest=sha256:65d24fc060af5e600e87bc1a2668bfb26ab0201550d4d3db01fa1ed740c9598e