Paper Citation Record · LEDGER

DocAgent: A Multi-Agent System for Automated Code Documentation Generation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2504.08725.

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

pith.paper-citation-record.v1
2504.08725 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:26:50.810684Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:37:22.213115Z

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 0ef5ab39-0bb4-4801-99ab-9db819617e18 · inbound

CRMAgent: A Multi-Agent LLM System for E-Commerce CRM Message Template Generation cites this paper.

CRMAgent: A Multi-Agent LLM System for E-Commerce CRM Message Template Generation DocAgent: A Multi-Agent System for Automated Code Documentation Generation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T18:26:50.810684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 824ae2fe-9063-4c48-975d-85e9b1f70097 · inbound

UserTrace: User-Level Requirements Generation and Traceability Recovery from Software Project Repositories cites this paper.

UserTrace: User-Level Requirements Generation and Traceability Recovery from Software Project Repositories DocAgent: A Multi-Agent System for Automated Code Documentation Generation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-04T16:56:12.371193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fff9273-e1b8-4749-9dad-18763423ac36 · inbound

Prompt-Driven Code Summarization: A Systematic Literature Review cites this paper.

Prompt-Driven Code Summarization: A Systematic Literature Review DocAgent: A Multi-Agent System for Automated Code Documentation Generation

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:35:18.582374Z

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.

Observation ccea0c51-884a-4970-bdfd-7e138f8eddbf · inbound

Restructure This: Using AI to Restructure Onboarding Documents to Reduce Cognitive Overload cites this paper.

Restructure This: Using AI to Restructure Onboarding Documents to Reduce Cognitive Overload DocAgent: A Multi-Agent System for Automated Code Documentation Generation

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-20T08:38:10.344194Z

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.

Observation 44403066-5926-4cf4-8ef9-2d0a7cbccc94 · inbound

The Illusion of Agentic Complexity in README.md Generation: Evaluating Single-Agent vs. Multi-Agent RAG Systems cites this paper.

The Illusion of Agentic Complexity in README.md Generation: Evaluating Single-Agent vs. Multi-Agent RAG Systems DocAgent: A Multi-Agent System for Automated Code Documentation Generation

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-30T05:04:20.502198Z

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.

Observation e1807568-21f1-4bdb-bbf2-2d70bfd45be8 · inbound

The Illusion of Agentic Complexity in README.md Generation: Evaluating Single-Agent vs. Multi-Agent RAG Systems cites this paper.

The Illusion of Agentic Complexity in README.md Generation: Evaluating Single-Agent vs. Multi-Agent RAG Systems DocAgent: A Multi-Agent System for Automated Code Documentation Generation

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:37:22.214961Z

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.