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Paper Citation Record · LEDGER

From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 45 inbound Pith citation observations for arXiv:2408.02479.

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

pith.paper-citation-record.v1
2408.02479 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 45 of 45 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:24:12.735015Z

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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External citation measurements

18
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 cbb35bf0-e43e-4ac8-849d-af39b809ce2e · inbound

From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap cites this paper.

From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 60

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verified exact
arxiv_id, observed 2026-05-23T19:08:20.742760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T19:07:21.016824Z digest=sha256:3e185d62018f40c459aded51afc3edcc41b2ace230541d4c49d4556d52a8669a

Observation e173bd28-bb73-4ccd-9a30-7480c6de7e21 · inbound

Towards Advancing Code Generation with Large Language Models: A Research Roadmap cites this paper.

Towards Advancing Code Generation with Large Language Models: A Research Roadmap From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 20

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no resolver link, observed 2026-08-10T18:24:12.735015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:24:12.735015Z digest=sha256:16213e6b622279dff3cf27e114dbaf3f9ad15c153e3dac0337616a1e766cd9a8

Observation 2e6413b7-9436-4e41-98f9-e7edef48e5f7 · inbound

Enabling Autonomic Microservice Management through Self-Learning Agents cites this paper.

Enabling Autonomic Microservice Management through Self-Learning Agents From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 18

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no resolver link, observed 2026-08-09T21:32:45.930525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:32:45.930525Z digest=sha256:4bffd41b210d70e8218271c50dbfe48d9642448681d35bb2847fb381dc61771b

Observation a247a6cc-42eb-4a62-b976-1aa55ffddfeb · inbound

Beyond Final Code: A Process-Oriented Error Analysis of Software Development Agents in Real-World GitHub Scenarios cites this paper.

Beyond Final Code: A Process-Oriented Error Analysis of Software Development Agents in Real-World GitHub Scenarios From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-23T00:52:19.416377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T00:50:05.344148Z digest=sha256:198b6687d4d9a5f677e74ce013987ed2b87c38fa9da571ebb619098599278b53

Observation ff5e67ae-65e8-4b06-bf1a-acc4e512e474 · inbound

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 55

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verified exact
arxiv_id, observed 2026-05-15T02:57:38.282333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T02:57:37.873567Z digest=sha256:d6a6a4a0f59bba5c445b587203862da81653327d990ddd56f513bb6a28bc1f1f

Observation f1ee7180-cc92-49da-9b40-6616f15bc654 · inbound

AutoData: A Multi-Agent System for Open Web Data Collection cites this paper.

AutoData: A Multi-Agent System for Open Web Data Collection From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 59

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no resolver link, observed 2026-08-07T15:27:46.092115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:27:46.092115Z digest=sha256:b9282702506990dbc43d005d3d671de7c4cdc029bf85148799f2d57f62695204

Observation 95ad7dbe-827e-49cb-ac9f-c63c49a64d98 · inbound

LLM-Powered AI Agent Systems and Their Applications in Industry cites this paper.

LLM-Powered AI Agent Systems and Their Applications in Industry From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 63

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verified exact
arxiv_id, observed 2026-05-22T14:06:37.906779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T14:05:54.535411Z digest=sha256:981f81368de288cec8661d522f07e0d89c053db2ca3d1e1691648a8f826c9519

Observation 4f68e9ea-7bcb-43db-9439-a2392c0049cd · inbound

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI cites this paper.

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 187

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no resolver link, observed 2026-08-07T14:15:49.410650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:15:49.410650Z digest=sha256:8026501480687b31ad63bde0c4014ea6a3577afd08c07b8642f5c945725253a8

Observation 913dbd2a-01f7-419f-a6e2-ccb954ec6b05 · inbound

CETBench: A Novel Dataset constructed via Transformations over Programs for Benchmarking LLMs for Code-Equivalence Checking cites this paper.

CETBench: A Novel Dataset constructed via Transformations over Programs for Benchmarking LLMs for Code-Equivalence Checking From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 14

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no resolver link, observed 2026-08-07T10:57:22.062726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:57:22.062726Z digest=sha256:88d2419e464a72073d6183d14f4b9bba13bafac37341caf08fe69c72478a3c34

Observation fc94e9eb-3a01-4c73-bd7e-4023fe323005 · 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 From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 22

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no resolver link, observed 2026-08-07T04:06:07.035785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:06:07.035785Z digest=sha256:083977abf1baad4ce68f814b9728a970430d53bc95fd25fd80b2662c3ab30261

Observation 7087a05a-5fd2-49a6-a825-e91f1f910736 · inbound

Effective LLM Code Refinement via Property-Oriented and Structurally Minimal Feedback cites this paper.

Effective LLM Code Refinement via Property-Oriented and Structurally Minimal Feedback From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:37:11.681953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T08:36:58.880345Z digest=sha256:48954ad99e10668996b014df909e91186f9abbcd81bc4bd2cefc23969d8b96f3

Observation 97326b02-7ed5-4e50-893f-3bacf69d6168 · inbound

On the Surprising Efficacy of LLMs for Penetration-Testing cites this paper.

On the Surprising Efficacy of LLMs for Penetration-Testing From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 48

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unresolved
no resolver link, observed 2026-08-06T21:10:06.520524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:10:06.520524Z digest=sha256:771a5c968b3f8fa72afd16a596c24667b42d950d3e713014229950ebfca65260

Observation 97c3f2ed-89fe-47c9-a5d5-d4428bf49840 · inbound

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study cites this paper.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 15

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no resolver link, observed 2026-08-06T19:59:18.700311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:59:18.700311Z digest=sha256:2219c2c530a633e40b6398247b38b4ef0446b81dbfeb400739b5b56bce587d88

Observation d788c2ea-fc3b-40fd-8fc7-12d59e7b5b8a · inbound

LLM-Driven Collaborative Model for Untangling Commits via Explicit and Implicit Dependency Reasoning cites this paper.

LLM-Driven Collaborative Model for Untangling Commits via Explicit and Implicit Dependency Reasoning From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 18

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no resolver link, observed 2026-08-06T15:17:59.384588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:17:59.384588Z digest=sha256:66fcdbc1c9c4d348502ea3792846bac4c096ecbee0ddff69d69f0e8a8d8855b5

Observation 2a8010fe-6f59-45d3-8041-e3ea31c0924e · inbound

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation cites this paper.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T13:56:34.833478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:34.833478Z digest=sha256:ea09f7c7352ee2b5d136e329ae26b25dc45a707a3b6bad1ee5e3e8eee85e66a1

Observation b1f17daf-65b2-4b52-8308-31d8609b1380 · inbound

Robot builds a robot's brain: AI generated drone command and control station hosted in the sky cites this paper.

Robot builds a robot's brain: AI generated drone command and control station hosted in the sky From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 32

Resolution
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no resolver link, observed 2026-08-06T04:51:21.279770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:51:21.279770Z digest=sha256:967094221194366e1b2f9488c7701eaa130b732cf38ae1dbe31604c96a979e42

Observation 4ea13bd6-07b9-478d-a4f0-f61c7b4a1846 · inbound

GPL-SLAM: A Laser SLAM Framework with Gaussian Process Based Extended Landmarks cites this paper.

GPL-SLAM: A Laser SLAM Framework with Gaussian Process Based Extended Landmarks From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T17:18:28.760190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:18:28.760190Z digest=sha256:25345cde8f1b7fd8fc481120fd66722df34184618fb38f683510006896f76c25

Observation 57ed64db-93b7-4de4-87e6-8ff85c608f3d · inbound

Cognitive Agents Powered by Large Language Models for Agile Software Project Management cites this paper.

Cognitive Agents Powered by Large Language Models for Agile Software Project Management From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 20

Resolution
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no resolver link, observed 2026-08-05T17:59:25.785163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:59:25.785163Z digest=sha256:53032bf1cf7e00aea6fe7df6076de0fcb9337ce2b65c446ecda9db7518d13cf3

Observation d5c54b77-de08-4956-918d-7ab973c88324 · inbound

Murakkab: Resource-Efficient Agentic Workflow Orchestration in Cloud Platforms cites this paper.

Murakkab: Resource-Efficient Agentic Workflow Orchestration in Cloud Platforms From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 36

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unresolved
no resolver link, observed 2026-08-05T17:19:00.736490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:19:00.736490Z digest=sha256:10e4cc23bfb53f60c94e98c038b9783421663e48304162aacf1c63e4ae4290bd

Observation 2c262cc1-d652-40e4-b291-f4f74bbfc0ba · inbound

A Survey: Towards Privacy and Security in Mobile Large Language Models cites this paper.

A Survey: Towards Privacy and Security in Mobile Large Language Models From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T11:39:14.045426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:14.045426Z digest=sha256:a81e8edff82408df44a593b1f54edcac801cd9fd1574abc853e5dbdf1aab9377

Observation 9b660b85-41c4-400d-b500-36d87697a283 · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 66

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verified exact
arxiv_id, observed 2026-05-18T16:41:37.960665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T16:39:03.794436Z digest=sha256:de05cbecbd8910537da6c0c6ee8f4eec74852e146571265e72dd2c9d7f2b9eda

Observation b8d75d27-e4a9-48ac-b5f9-918271c54444 · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 67

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metadata mismatch
arxiv_id, observed 2026-05-18T16:41:37.384238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T16:39:03.794436Z digest=sha256:c366a8ffbe8487606eeb39435aaf03825efd1a2b48067b3fbdda94fce8bd79c0

Observation cfb59a0c-a5a7-40af-a86d-098f293f7559 · inbound

LLM-Powered Detection of Price Manipulation in DeFi cites this paper.

LLM-Powered Detection of Price Manipulation in DeFi From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 47

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verified exact
arxiv_id, observed 2026-05-18T05:10:54.362094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T05:08:07.493081Z digest=sha256:a8c414355fa7c19328f5b4dad8b764be10ae209b3f78ff950e57aaf7bc633258

Observation 7b9726e1-8388-4202-8068-e237026231c9 · inbound

ABTest: Behavior-Driven Testing for AI Coding Agents cites this paper.

ABTest: Behavior-Driven Testing for AI Coding Agents From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 11

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verified exact
arxiv_id, observed 2026-05-13T18:38:07.192543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T18:36:09.056578Z digest=sha256:55332b01539765a47038fe5304f82200bed7ac57a9c0d38bbd3a3e2b3eccace2

Observation 54252c63-d517-40c5-ad45-aa04a212f795 · 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 From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 29

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verified exact
arxiv_id, observed 2026-05-11T07:26:00.886354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:11:23.553461Z digest=sha256:843fa9d0e6338621dd8fdfbabec9ffa0baca837f332b32dfb10807d5c646df2c

Observation 752b432e-7825-451c-83d3-f2e765b75145 · inbound

LLM-Based Multi-Agent Systems for Code Generation: A Multi-Vocal Literature Review cites this paper.

LLM-Based Multi-Agent Systems for Code Generation: A Multi-Vocal Literature Review From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 3

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verified exact
arxiv_id, observed 2026-05-15T19:56:33.830933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T19:52:49.324500Z digest=sha256:0a02870bc24c472d6814430a547be116b8596599ce43fdfdfacee0a2e4ac1550

Observation 760350d9-8312-4b4a-b576-01909b69bf37 · inbound

Foundation-Model-Based Agents in Industrial Automation: Purposes, Capabilities, and Open Challenges cites this paper.

Foundation-Model-Based Agents in Industrial Automation: Purposes, Capabilities, and Open Challenges From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 14

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metadata mismatch
arxiv_id, observed 2026-05-09T06:50:42.054341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T17:59:50.936998Z digest=sha256:c4e3fa4edc19751c6731b5ead65207014096eedfa752fb4f411947d31b07a525

Observation 39c8f7dc-dc3c-4ca5-9bd1-c8da6100c119 · inbound

Characterizing Readability Issue Patterns and the Role of Prompt Design in LLM-Generated Code cites this paper.

Characterizing Readability Issue Patterns and the Role of Prompt Design in LLM-Generated Code From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 46

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arxiv_id, observed 2026-05-14T18:19:23.656006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T18:18:05.384433Z digest=sha256:129d2f8a59fbd5cdaba3574fbc81afa84342a10184ac104263f377063cc2de68

Observation e4f90417-9eee-45c2-9371-4671cb6ff4a8 · inbound

Characterizing Readability Issue Patterns and the Role of Prompt Design in LLM-Generated Code cites this paper.

Characterizing Readability Issue Patterns and the Role of Prompt Design in LLM-Generated Code From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 46

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unresolved
no resolver link, observed 2026-08-04T05:12:30.851409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:12:30.851409Z digest=sha256:20fe6db46e1951b8269a56b18557641a303d8a92b1a1abf53855e384b26d53d8

Observation 5328baaf-9f62-439d-b98a-93d02f6b5ecd · inbound

A-ProS: Towards Reliable Autonomous Programming Through Multi-Model Feedback cites this paper.

A-ProS: Towards Reliable Autonomous Programming Through Multi-Model Feedback From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 2

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verified exact
arxiv_id, observed 2026-05-20T09:23:10.531066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T09:22:06.285118Z digest=sha256:ac00e34e6f844fb769af7e3b19b05df467f33e28747098c6de34a9b27f09e85c

Observation bcfad427-24d2-4ac0-9c09-1e6a7f4ba975 · inbound

"Refactoring Runaway": Understanding and Mitigating Tangled Refactorings in Coding Agents for Issue Resolution cites this paper.

"Refactoring Runaway": Understanding and Mitigating Tangled Refactorings in Coding Agents for Issue Resolution From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 25

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verified exact
arxiv_id, observed 2026-05-22T04:01:01.556173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T03:58:08.767022Z digest=sha256:e8545f3885d622e4729f5c309a84605f4941d6aebb268b0145d8b0291be251f3

Observation be6032ea-0ae1-476f-86e3-3d10aa4b6cc1 · inbound

GRAIL: AI translation for scientists application workflow on satellite data cites this paper.

GRAIL: AI translation for scientists application workflow on satellite data From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 6

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verified exact
arxiv_id, observed 2026-06-30T12:54:40.108913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T12:50:18.956403Z digest=sha256:48b945142bf8d297e901b82099a3d77f21a9d8a4621efa91bf17a455aa4f345d

Observation 60bc0bee-92c0-4c0f-8f39-55aca37171dd · inbound

From Prompt to Process: a Process Taxonomy and Comparative Assessment of Frameworks Supporting AI Software Development Agents cites this paper.

From Prompt to Process: a Process Taxonomy and Comparative Assessment of Frameworks Supporting AI Software Development Agents From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 16

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verified exact
arxiv_id, observed 2026-06-28T05:21:40.144601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T05:16:10.548016Z digest=sha256:16e7e3dba28054c700570c5ea0c2a6c7b7ceb01903fd09596aef17b1adc35f11

Observation 9503cda0-28cb-4a26-88df-ab533f7a6a0b · inbound

Understanding How Enterprises Adopt the Model Context Protocol for LLM-Driven Software Engineering cites this paper.

Understanding How Enterprises Adopt the Model Context Protocol for LLM-Driven Software Engineering From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-03T02:37:34.623081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T15:48:39.837630Z digest=sha256:684e0da009abf536a72c8d1206b228f349192dad025b1d10d6bb25ce97dc5fc1

Observation 8cf9c209-b808-4376-aad0-2d6f5b615020 · inbound

Qiskit Code Migration with LLMs cites this paper.

Qiskit Code Migration with LLMs From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 148

Resolution
verified exact
arxiv_id, observed 2026-06-26T16:29:35.517674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T16:24:25.357338Z digest=sha256:930abfa7497791c34eb0edb35673fa0822eb94cb0e9ab9c3f067de71cd35140f

Observation c3fb3853-0c32-49c4-aacf-48a7140b6f0a · inbound

FirmCure:Towards Autonomous and Adaptive Rehosting of Linux-Based Firmware cites this paper.

FirmCure:Towards Autonomous and Adaptive Rehosting of Linux-Based Firmware From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-04T18:00:00.445380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-25T23:16:08.333363Z digest=sha256:6ca49a006a6e34e39aaba31b71a8f18943d5b5ede9d8119ff9c2e8b7362b3b4b

Observation a584bc23-2407-4f25-88f9-d3746c67a21c · inbound

HiLSVA: Design and Evaluation of a Human-in-the-Loop Agentic System for Scientific Visualization cites this paper.

HiLSVA: Design and Evaluation of a Human-in-the-Loop Agentic System for Scientific Visualization From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-02T10:06:43.724088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:06:43.724088Z digest=sha256:bd79a256e01253f0636cbec4e0e9b5b8c5c751882e6409aa6ec049a08e6fa705

Observation 3c03f5ee-0cf3-46fc-9ff4-43b7ea9aa74c · inbound

How Do Practitioners Build SE Agents? Insights from a Mixed-Methods Study cites this paper.

How Do Practitioners Build SE Agents? Insights from a Mixed-Methods Study From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-14T08:45:10.761935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T08:45:10.761935Z digest=sha256:59ffcca0e895dea122030fe6b684acabcd9f668ccb66dff2c77036a25c5dc980

Observation 22442042-a740-439d-9f3a-bc0e0bd63766 · inbound

How Do Practitioners Build SE Agents? Insights from a Mixed-Methods Study cites this paper.

How Do Practitioners Build SE Agents? Insights from a Mixed-Methods Study From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T07:09:29.275715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:09:29.275715Z digest=sha256:a75df413f870de3a8c87199ca38aff3d627d20deb1c98dbbbdda542dfc6c7d26

Observation 962d5695-ac69-4ca1-a7d5-0c3e8670e724 · inbound

Bridging Behavior and Implementation: Automated Java Glue Code Generation for Behavior-Driven Development cites this paper.

Bridging Behavior and Implementation: Automated Java Glue Code Generation for Behavior-Driven Development From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T12:00:24.400709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:00:24.400709Z digest=sha256:e2613b62efc1df0c66d95bc980bf04980e086980f3f5eb9320ab696381875457

Observation d7c57eba-9c7c-466a-8506-9e423bd8e554 · inbound

Industrial Practice of LLM-Based Test Case Carving and Assertion Generation (Experience Paper) cites this paper.

Industrial Practice of LLM-Based Test Case Carving and Assertion Generation (Experience Paper) From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-31T23:23:45.151925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:23:45.151925Z digest=sha256:87abbe6e6dcc3c993ca069bfed84efa359f354c3905fca9e274685ebb618428b

Observation 3dc94719-be24-48df-946c-a71a9278909a · inbound

Industrial Practice of LLM-Based Test Case Carving and Assertion Generation (Experience Paper) cites this paper.

Industrial Practice of LLM-Based Test Case Carving and Assertion Generation (Experience Paper) From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T01:34:39.018600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:34:39.018600Z digest=sha256:32023c19b6206f814d0fdee0699b973869a91e25fba602adda714d53e14eabd6

Observation f4dddbd8-45eb-430a-8eae-8dcbdc5e5ad2 · inbound

NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability cites this paper.

NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T16:54:57.934441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T16:54:57.934441Z digest=sha256:a3fe54f66d8484cd1fd857585180cfe0c642a34208f6b0d2ea41e5cace1e8265

Observation 2dfdf609-afbc-4f2c-a11d-7d5e6f9613d6 · inbound

NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability cites this paper.

NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T04:24:56.455835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T04:24:56.455835Z digest=sha256:d1ebf1a17a0aa59cb2300b4e21bafa8a95860f176e723f9ee8d97bb9278fa981

Observation 1b1f2c14-9151-43ab-bbf6-bc47a76ad8bf · inbound

Active-SWE: Benchmarking Coding Agents for Proactive Bug Fixing without Issue Reports cites this paper.

Active-SWE: Benchmarking Coding Agents for Proactive Bug Fixing without Issue Reports From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T19:02:40.571286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:02:40.571286Z digest=sha256:09585658b2ac90abffa4b94c2469d4bb735e1f67050e1ecb6a6b1d4156824516