Paper Citation Record · LEDGER

Self-collaboration Code Generation via ChatGPT

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2304.07590.

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

pith.paper-citation-record.v1
2304.07590 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:21:51.254085Z

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

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

26
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 3f6f2b26-39e7-4498-aa19-3edd959c22a7 · inbound

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation cites this paper.

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Self-collaboration Code Generation via ChatGPT

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T05:23:26.526336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a8d68e67-46f4-467b-a5a7-3418d1c9095a · inbound

A Survey on Large Language Model based Autonomous Agents cites this paper.

A Survey on Large Language Model based Autonomous Agents Self-collaboration Code Generation via ChatGPT

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:03:00.749502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d9c22fe4-c41c-473e-8c13-38e6ac58281a · inbound

Cognitive Architectures for Language Agents cites this paper.

Cognitive Architectures for Language Agents Self-collaboration Code Generation via ChatGPT

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:33:44.313759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fce5b05d-a011-4dc2-8c03-7af2f8998b29 · inbound

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration cites this paper.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Self-collaboration Code Generation via ChatGPT

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-21T21:05:25.861497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3d8278d0-725a-4f44-8072-fd4cc3aed601 · inbound

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation cites this paper.

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation Self-collaboration Code Generation via ChatGPT

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-15T03:58:45.931436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e92eb66a-de44-4a6b-98b1-5a4d4a8a3c0e · inbound

Learning to Ask: When LLM Agents Meet Unclear Instruction cites this paper.

Learning to Ask: When LLM Agents Meet Unclear Instruction Self-collaboration Code Generation via ChatGPT

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:13:28.094991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0ed97e33-2b0a-468b-8b4f-3e80a0f475a3 · inbound

TransAgent: Enhancing LLM-Based Code Translation via Fine-Grained Execution Alignment cites this paper.

TransAgent: Enhancing LLM-Based Code Translation via Fine-Grained Execution Alignment Self-collaboration Code Generation via ChatGPT

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:55:48.978982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 05479979-34fb-4085-b606-901ca10a698c · inbound

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash cites this paper.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Self-collaboration Code Generation via ChatGPT

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T19:42:17.217783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fe64df4-1143-4d6c-800f-ba94412849ef · inbound

Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI cites this paper.

Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI Self-collaboration Code Generation via ChatGPT

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T11:24:08.270042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c630f28-9fdc-4e66-9de5-ce7ac0fb36f1 · inbound

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis cites this paper.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Self-collaboration Code Generation via ChatGPT

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T22:33:53.163670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1acb9bc-a47a-4d28-9944-db96711f6b48 · inbound

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents cites this paper.

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents Self-collaboration Code Generation via ChatGPT

Reference 176

Resolution: unresolved; no resolver link, observed 2026-08-11T22:18:32.109103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba63b660-6128-4520-a1b7-449d7d18b4a8 · inbound

The Current Challenges of Software Engineering in the Era of Large Language Models cites this paper.

The Current Challenges of Software Engineering in the Era of Large Language Models Self-collaboration Code Generation via ChatGPT

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T12:10:13.469046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ee5fc66-afad-4f40-90b8-3c747af20894 · inbound

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation cites this paper.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation Self-collaboration Code Generation via ChatGPT

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:03.792886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 027a7048-e14e-469b-bdcd-4b3c87c6d0fd · inbound

Revisit Self-Debugging with Self-Generated Tests for Code Generation cites this paper.

Revisit Self-Debugging with Self-Generated Tests for Code Generation Self-collaboration Code Generation via ChatGPT

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T16:51:39.199560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3254617f-c997-4f28-9307-b809959f942b · inbound

Do as We Do, Not as You Think: the Conformity of Large Language Models cites this paper.

Do as We Do, Not as You Think: the Conformity of Large Language Models Self-collaboration Code Generation via ChatGPT

Reference 105

Resolution: unresolved; no resolver link, observed 2026-08-10T16:16:52.876183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 150f9eb2-c244-43cc-9949-8819e0788146 · inbound

A Solver-Aided Hierarchical Language for LLM-Driven CAD Design cites this paper.

A Solver-Aided Hierarchical Language for LLM-Driven CAD Design Self-collaboration Code Generation via ChatGPT

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T20:26:17.435765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65979622-d59d-4989-91d3-9523ecffcfb6 · inbound

Are AI agents the new machine translation frontier? Challenges and opportunities of single- and multi-agent systems for multilingual digital communication cites this paper.

Are AI agents the new machine translation frontier? Challenges and opportunities of single- and multi-agent systems for multilingual digital communication Self-collaboration Code Generation via ChatGPT

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T12:21:51.254085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28304cca-5288-468e-a837-afb997d31aa7 · inbound

Code2API: A Tool for Generating Reusable APIs from Stack Overflow Code Snippets cites this paper.

Code2API: A Tool for Generating Reusable APIs from Stack Overflow Code Snippets Self-collaboration Code Generation via ChatGPT

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:12.442837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a21010ec-3fb1-4770-8208-e1fcef4692ce · inbound

Enhancing LLM Code Generation: A Systematic Evaluation of Multi-Agent Collaboration and Runtime Debugging for Improved Accuracy, Reliability, and Latency cites this paper.

Enhancing LLM Code Generation: A Systematic Evaluation of Multi-Agent Collaboration and Runtime Debugging for Improved Accuracy, Reliability, and Latency Self-collaboration Code Generation via ChatGPT

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T01:04:43.359761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caf68553-49ad-46ab-a8d3-6cd8234eca76 · inbound

Facilitating Video Story Interaction with Multi-Agent Collaborative System cites this paper.

Facilitating Video Story Interaction with Multi-Agent Collaborative System Self-collaboration Code Generation via ChatGPT

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T04:29:48.283129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abe91bd3-bf51-4ebb-b105-9d8d1b663875 · inbound

Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding cites this paper.

Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding Self-collaboration Code Generation via ChatGPT

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T22:13:35.884830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d0124af-c4f7-4044-81de-be19b17c62d1 · inbound

Rethinking Repetition Problems of LLMs in Code Generation cites this paper.

Rethinking Repetition Problems of LLMs in Code Generation Self-collaboration Code Generation via ChatGPT

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:27.968650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1094a53f-ca0f-46a9-b1c0-688fea9e31e1 · inbound

Single-agent or Multi-agent Systems? Why Not Both? cites this paper.

Single-agent or Multi-agent Systems? Why Not Both? Self-collaboration Code Generation via ChatGPT

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:38:02.116610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06284751-8781-4402-87b7-d4b681634f54 · inbound

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis cites this paper.

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis Self-collaboration Code Generation via ChatGPT

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:40:51.506599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6249ef8a-a4fb-448e-a5b5-a391f5678ba1 · inbound

AutoBridge: Automating Smart Device Integration with Centralized Platform cites this paper.

AutoBridge: Automating Smart Device Integration with Centralized Platform Self-collaboration Code Generation via ChatGPT

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:04.508295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 907f3dfa-3d51-470b-8cf3-5f1f23cb868b · inbound

ARM: Discovering Agentic Reasoning Modules for Generalizable Multi-Agent Systems cites this paper.

ARM: Discovering Agentic Reasoning Modules for Generalizable Multi-Agent Systems Self-collaboration Code Generation via ChatGPT

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:50:36.656530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f8e47aff-7f51-46a7-8851-3576bb189bbf · inbound

How Many Tries Does It Take? Iterative Self-Repair in LLM Code Generation Across Model Scales and Benchmarks cites this paper.

How Many Tries Does It Take? Iterative Self-Repair in LLM Code Generation Across Model Scales and Benchmarks Self-collaboration Code Generation via ChatGPT

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:06:00.356720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8e29d500-7d01-4021-9ed5-048b906e5b62 · inbound

Social Bias in LLM-Generated Code: Benchmark and Mitigation cites this paper.

Social Bias in LLM-Generated Code: Benchmark and Mitigation Self-collaboration Code Generation via ChatGPT

Reference 89

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:36:08.674262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ad3a4220-8774-4817-bf03-3422aa18582e · inbound

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

A-ProS: Towards Reliable Autonomous Programming Through Multi-Model Feedback Self-collaboration Code Generation via ChatGPT

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-20T09:23:10.581684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 73ca3538-b145-48f9-bdb2-cc9c082b086e · 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 Self-collaboration Code Generation via ChatGPT

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-27T19:31:10.878410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 97ffdac3-7c41-465f-921e-b006c6d4f382 · inbound

Automated Mediator for Human Negotiation: Pre-Mediation via a Structured LLM Pipeline cites this paper.

Automated Mediator for Human Negotiation: Pre-Mediation via a Structured LLM Pipeline Self-collaboration Code Generation via ChatGPT

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T05:57:41.084741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 511b20a6-23ed-4828-8dde-320b586efab8 · inbound

Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report cites this paper.

Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report Self-collaboration Code Generation via ChatGPT

Reference 257

Resolution: unresolved; no resolver link, observed 2026-08-16T00:25:41.511683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.