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Paper Citation Record · LEDGER

LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2404.04834.

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

pith.paper-citation-record.v1
2404.04834 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

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

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:32:56.374537Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:15:47.484231Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3b671420-d05b-43ad-8fe0-c368584dc6c8 · inbound

Multi-Agent Collaboration Mechanisms: A Survey of LLMs cites this paper.

Multi-Agent Collaboration Mechanisms: A Survey of LLMs LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-13T15:54:54.513500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T15:54:54.146003Z digest=sha256:b8544be2054a064088fec0939559af1a3a0c1bfc79cb3cf35e03288d297481c5

Observation 5cb7e049-d3a9-4696-9a7a-5284781f0c53 · inbound

Why Do Multi-Agent LLM Systems Fail? cites this paper.

Why Do Multi-Agent LLM Systems Fail? LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:42:58.005346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T05:42:57.561468Z digest=sha256:b38366917df0352b79638f3c297f5546075a21afe9f8c2b552f9788b823459c3

Observation 11af8e71-b97f-4410-9c25-89ef05d69403 · inbound

GenAI-Enabled Backlog Grooming in Agile Software Projects: An Empirical Study cites this paper.

GenAI-Enabled Backlog Grooming in Agile Software Projects: An Empirical Study LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T17:32:56.374537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:32:56.374537Z digest=sha256:b77fa96cc0530b674e764549ab552e996076e1e606fd8b576994c1d942e7a3fd

Observation bc5bb291-82d9-40c2-a4ea-09ba2724cd40 · 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 LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T17:59:25.551190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:59:25.551190Z digest=sha256:efa1a37432106939fdb70b2f1c9a4d5606abec4ccaec35766603d68f7d0a0eb7

Observation 9dae9d04-cc1f-456a-86b5-67e2c38b2397 · inbound

Knowledge-Graph-Driven Data Synthesis for Low-Resource Software Development: A HarmonyOS Case Study cites this paper.

Knowledge-Graph-Driven Data Synthesis for Low-Resource Software Development: A HarmonyOS Case Study LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-17T03:38:57.850590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T03:38:40.078229Z digest=sha256:7084c8befe2f30bd8a29893cd0b306332968478601c2542895a2091b1d06c2a5

Observation 42c1d32c-78e9-4a03-bd16-a135a31aafa7 · inbound

Rethinking Query Optimization for Multi-Agent Systems [Vision] cites this paper.

Rethinking Query Optimization for Multi-Agent Systems [Vision] LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T17:21:25.840988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T17:21:25.840988Z digest=sha256:63ef93bd7182975486024ddd9a986f5e52b04102eaa4fefd9cb984855f9d34b4

Observation 3549aa13-6eed-461f-8c9c-41dde4830586 · inbound

Debug2Fix: Can Interactive Debugging Help Coding Agents Fix More Bugs? cites this paper.

Debug2Fix: Can Interactive Debugging Help Coding Agents Fix More Bugs? LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:20:17.825284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T20:17:52.610119Z digest=sha256:7a700f4187f06c281a2cc3f557d641167b6bb260ca3ccc084e9730143ea2bc78

Observation 5fa9a553-9e41-45e5-a19c-4a7aad34dda0 · inbound

Code Broker: A Multi-Agent System for Automated Code Quality Assessment cites this paper.

Code Broker: A Multi-Agent System for Automated Code Quality Assessment LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:41:11.617441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T08:20:33.374650Z digest=sha256:5b3a0892176969125f39bf8ea668f3ea99174464a2af4d2ad4ebc36d8f4cbd45

Observation 082395f3-c043-4636-a146-7b72bdcfe801 · inbound

Terminus-4B: Can a Smaller Model Replace Frontier LLMs at Agentic Execution Tasks? cites this paper.

Terminus-4B: Can a Smaller Model Replace Frontier LLMs at Agentic Execution Tasks? LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:51:30.375915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T18:09:12.419652Z digest=sha256:ad82c03fb047e43d6962c97ba4d0a5f320ab9ee3d146bf1f244e550af9d31f52

Observation d14242fd-5231-4b21-a790-35cb3dddfa84 · inbound

Terminus-4B: Can a Smaller Model Replace Frontier LLMs at Agentic Execution Tasks? cites this paper.

Terminus-4B: Can a Smaller Model Replace Frontier LLMs at Agentic Execution Tasks? LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-12T17:42:51.275272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T17:42:51.275272Z digest=sha256:958fcd5e60df7da810b93dad3e10b927c34c693b9b1c09b9dc2ef7bbe91ac1e6

Observation 9ffe0d6e-d978-48a4-99e8-f19692926d0c · inbound

Iterative Audit Convergence in LLM-Managed Multi-Agent Systems: A Case Study in Prompt-Engineering Quality Assurance cites this paper.

Iterative Audit Convergence in LLM-Managed Multi-Agent Systems: A Case Study in Prompt-Engineering Quality Assurance LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-13T03:37:11.643135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T03:33:19.193036Z digest=sha256:c9234b40e2c0e5b68d920fe9151578441c844a8a0154ed3e418eb0d990269135

Observation 9d46f5ce-3482-45bc-ab9a-c4ce94546311 · inbound

Iterative Audit Convergence in LLM-Managed Multi-Agent Systems: A Case Study in Prompt-Engineering Quality Assurance cites this paper.

Iterative Audit Convergence in LLM-Managed Multi-Agent Systems: A Case Study in Prompt-Engineering Quality Assurance LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:15:47.485780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T22:07:05.514346Z digest=sha256:615739f5fe1fa81ffddb1e6072bb35faac09577b22a6ad8076a4e802e7f6df89

Observation 08363ea3-11fd-4667-a57a-a1910fe8b051 · inbound

Agentic AI in Industry: Adoption Level and Deployment Barriers cites this paper.

Agentic AI in Industry: Adoption Level and Deployment Barriers LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-30T20:25:02.511598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T20:22:53.835357Z digest=sha256:1f129ad272b6cf98ac2b34b438b3678aa89cd8f78d7362372ca33988ab7f48e5

Observation 0a45ff9a-5dda-4d53-9673-19cfcab637b9 · inbound

Assistance to Autonomy: A Systematic Literature Review of Agentic AI across the Software Development Life Cycle cites this paper.

Assistance to Autonomy: A Systematic Literature Review of Agentic AI across the Software Development Life Cycle LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-19T16:27:39.523281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T16:27:05.280664Z digest=sha256:cf5941412649a506dc2f7811fc05823aa45f6ad87a8559c63692dac371f66dda

Observation eac91be8-b497-4f7f-be0a-ba8dfb356e97 · inbound

FormIDEAble: Safe and Socially-aware Autonomous Systems cites this paper.

FormIDEAble: Safe and Socially-aware Autonomous Systems LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-01T11:15:41.943130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T04:40:48.746265Z digest=sha256:138423b0a6329d63fab739b384a97e29f9f73f30ff1f3f5822153ef46d574b56

Observation 3a8c4588-2a18-4abd-a561-b6d4b7a0906c · inbound

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges cites this paper.

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

Reference 295

Resolution
unresolved
no resolver link, observed 2026-08-03T00:55:43.534925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:55:43.534925Z digest=sha256:f65dd4b5ec659658c69cbd58fed63b3f9a09909893953cf3eeca0785d4e4e1b3