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Paper Citation Record · LEDGER

Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2404.02183.

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

pith.paper-citation-record.v1
2404.02183 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 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 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:55:59.059489Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:05:46.762743Z

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 70eebffb-c940-4924-8a27-f5c9221943fb · 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 Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-24T03:58:51.292013Z

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=sha256:0e80b8b5a1968d76cb998db401fd2c3f53c29b15c355acab2490861b71d2a4da

Observation 7356e386-002f-4c88-966a-511d793bbe6c · inbound

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

A Survey on Large Language Models for Code Generation Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 113

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:18:06.593501Z

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=sha256:3ebc083dc211ee7d8b38e00d35f2fb727ca7cc793c25f28b96a11f6b86b54abe

Observation 4f399745-2c2c-4865-8ca4-b7c21476f0d7 · inbound

Large Language Model-Based Agents for Software Engineering: A Survey cites this paper.

Large Language Model-Based Agents for Software Engineering: A Survey Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 112

Resolution
verified exact
arxiv_id, observed 2026-05-17T12:35:48.398428Z

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=2026-05-17T12:35:48.170947Z digest=sha256:51bf6d6b6def499914b9d01dd2827c32aa664831656050e6d63b2b09d07376d6

Observation c54c12c8-1a3e-4290-8b57-7c5b1bc83f1b · inbound

AEGIS: An Agent-based Framework for General Bug Reproduction from Issue Descriptions cites this paper.

AEGIS: An Agent-based Framework for General Bug Reproduction from Issue Descriptions Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T11:41:01.423183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:41:01.423183Z digest=sha256:02f77d248ad36a697795d62e282f61262e012444981a76629252e1f5b537b906

Observation 00576258-7a50-47e2-ba6f-26c985291bd9 · inbound

Repository Structure-Aware Training Makes SLMs Better Issue Resolver cites this paper.

Repository Structure-Aware Training Makes SLMs Better Issue Resolver Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T01:05:18.988263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T01:05:18.988263Z digest=sha256:845ee399756a7df10f2b2d13fa0cef45d1d3f5dee6dd19f6136c0cb47904f58f

Observation be1f80a8-e7c0-4b65-a9b2-7a31db90424e · inbound

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

Multi-Agent Collaboration Mechanisms: A Survey of LLMs Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-13T15:54:54.258507Z

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=2026-05-13T15:54:54.146003Z digest=sha256:d56273124c0b442b7a6fac4322e38dfb3d04106904e4658d61725f5c66fbb0e4

Observation a0096516-02f4-4018-a6a0-a44f531b6a52 · inbound

AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers cites this paper.

AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T05:55:59.059489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:55:59.059489Z digest=sha256:d49e7403b4bb09048f00f3426800aae7d052a637231db967d6fcc7018c0940d9

Observation 59f27a73-a0a0-4894-93ae-1a4700f0bc6a · 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 Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 104

Resolution
unresolved
no resolver link, observed 2026-08-07T14:15:42.743928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:15:42.743928Z digest=sha256:7901ef58d70335286a0edf5e631401646b4cf34e3709badab81256180face5d7

Observation ff359609-3863-47f7-9fbd-646c9822bdd7 · inbound

Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems cites this paper.

Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T12:54:43.265353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:54:43.265353Z digest=sha256:635d02d0317330cf5009a246a66ffccdd924d3b19fc6d6a158f5a7dd182aead0

Observation a34de830-fbe5-49ec-afda-4db6ebec76db · inbound

Adaptive Graph Pruning for Multi-Agent Communication cites this paper.

Adaptive Graph Pruning for Multi-Agent Communication Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T11:18:43.770907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:18:43.770907Z digest=sha256:dc5ccff6f0cac2490c04bf86371cce31d8328e6bd98ff73850c7d61eef3d520c

Observation 9c6a1a9d-baff-4b6c-90ee-1f66fe0d349d · inbound

MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning cites this paper.

MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:15:46.236177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:15:46.236177Z digest=sha256:13309ba35bc692c992e6bf5577e0ab53817090d23b4ff8ffc3568323035ad231

Observation 787912dc-0dc1-4e33-a67e-312325b772df · inbound

Exploring the Challenges and Opportunities of AI-assisted Codebase Generation cites this paper.

Exploring the Challenges and Opportunities of AI-assisted Codebase Generation Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-05T21:48:02.119286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:48:02.119286Z digest=sha256:07291d96898b64f467934fce802b454c5c4f888bf3bef4e6292c8ff30abb94d9

Observation cd2d90d7-d143-4ef5-8721-2d72bce3108e · inbound

Training-Free Multimodal Large Language Model Orchestration cites this paper.

Training-Free Multimodal Large Language Model Orchestration Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-19T00:12:54.142285Z

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=2026-05-19T00:12:39.834892Z digest=sha256:e732a3dd913f7bfb3d0ae3dbb9dd904da6e0955e613c127eb74826e88a149fd7

Observation bef2deaa-0b97-4bce-a1eb-25d0dbf25e06 · inbound

Training-Free Multimodal Large Language Model Orchestration cites this paper.

Training-Free Multimodal Large Language Model Orchestration Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:05:30.683726Z

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=2026-05-25T08:02:15.950975Z digest=sha256:c2c33028ab7248aa6c4a2965418dc3d037c731c706e33773ea5092b26ddd34c5

Observation c8e7afa0-a9d1-47cf-8413-2b23d96ecb9c · inbound

Combating the Memory Walls: Optimization Pathways for Long-Context Agentic LLM Inference cites this paper.

Combating the Memory Walls: Optimization Pathways for Long-Context Agentic LLM Inference Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:51:42.138155Z

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=2026-05-18T17:47:58.019030Z digest=sha256:9b027f0a1a15e1b8fcf4eef4963c268fd78d84c4f5090bd55c89a8b2cf263177

Observation 7ff7efff-4d83-4201-8a24-ee3c0fbfdfc4 · inbound

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models cites this paper.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T09:44:51.214323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:44:51.214323Z digest=sha256:dc8044bacb00cdfc356a20aa60153f6dbf33fe75301dc3b035be49fc99d28707

Observation 73b85b26-04eb-4602-817a-a8a7dd84f98f · inbound

ValueFlow: Measuring the Propagation of Value Perturbations in Multi-Agent LLM Systems cites this paper.

ValueFlow: Measuring the Propagation of Value Perturbations in Multi-Agent LLM Systems Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T03:17:23.565327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T03:17:23.565327Z digest=sha256:11d890aa544bca582e13b62ad76aae163047f8b9b4e296e3cf3385e16933fd28

Observation 3a08bfdd-945b-4a66-a52a-ad2481bcfa29 · inbound

Sustainable Code Generation Using Large Language Models: A Systematic Literature Review cites this paper.

Sustainable Code Generation Using Large Language Models: A Systematic Literature Review Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:50:16.536936Z

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=2026-05-15T18:49:01.097179Z digest=sha256:f828923ccde0711327a0873446a760ded681989bb24bd59b124b4569b0edb809

Observation 562bb123-d3d3-493d-86e2-50e26fb85973 · inbound

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows cites this paper.

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:57:22.504292Z

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=2026-05-13T05:56:36.312877Z digest=sha256:2aae28ad00b769fe7e51743450b47b46711404b6d0806f98e9f1a14c65d7bceb

Observation 78f57ea0-f88a-49aa-8d32-05f2026cd680 · inbound

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows cites this paper.

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:05:46.764199Z

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=2026-06-30T22:18:45.189576Z digest=sha256:d1868d2199945a98fa16d148d3c17996eea818f8570a2514a6a4dd1ddbb4898d

Observation 07813d00-48ba-4dde-b25b-ef5740336090 · inbound

Learning Transferable Topology Priors for Multi-Agent LLM Collaboration Across Domains cites this paper.

Learning Transferable Topology Priors for Multi-Agent LLM Collaboration Across Domains Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:38:19.052155Z

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=2026-05-20T13:38:07.140289Z digest=sha256:f390f13194675a117bfbd66a3dea66db5707dd4e675af6bdb802ae2fc73b7d8c

Observation 9919f654-93e6-4bdb-80e7-466d27ad60b3 · inbound

Code as Agent Harness cites this paper.

Code as Agent Harness Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 215

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:58:14.253953Z

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=2026-05-20T10:54:54.558241Z digest=sha256:4bfd12d4353e1800571324b3faca29a996e3c66a7449fa14a03d0cad6bfd6731

Observation 61c4ae58-9e9b-4c0a-af80-08e55f3892c0 · inbound

Conflict-Resilient Multi-Agent Reasoning via Signed Graph Modeling cites this paper.

Conflict-Resilient Multi-Agent Reasoning via Signed Graph Modeling Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:48:04.399546Z

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=2026-05-20T05:47:27.833457Z digest=sha256:62f9826f7fae960b69510d02ea783dceb1a98a68e44003472cd96deb521f0166

Observation a30e1368-76f5-4fb7-8029-8f9655bdf79c · inbound

AgentRadio: Passive Awareness for Long-Horizon Multi-Agent Collaboration cites this paper.

AgentRadio: Passive Awareness for Long-Horizon Multi-Agent Collaboration Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 6

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unresolved
no resolver link, observed 2026-07-31T07:38:10.244312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T07:38:10.244312Z digest=sha256:2da5a09296471b2601bef6fbc08420b7de0c8556d9fb4908825a181cf1f287c9

Observation 49accfcd-42a9-4fd3-b13a-20e0ff164160 · inbound

ForestBench: A Unified Graph Framework for Evaluating Multi-Agent Collaboration cites this paper.

ForestBench: A Unified Graph Framework for Evaluating Multi-Agent Collaboration Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-14T04:35:56.292852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:35:56.292852Z digest=sha256:1d7ecef1a4e9b7f5198bcff9da1cbad4129f6632e12cb8a0093f5e6019307881