Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2504.20115.

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

pith.paper-citation-record.v1
2504.20115 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:59:17.616841Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T17:47:17.824691Z

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 3c6c02e1-743a-4abc-baa0-89de99513b71 · 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 AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T19:59:17.616841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cb5a096-53d1-41d0-bab4-71336d17ecb1 · inbound

How Far Are AI Scientists from Changing the World? cites this paper.

How Far Are AI Scientists from Changing the World? AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:14.878947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e21c4469-9bae-42e6-99dc-fb976a554e29 · inbound

SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences? cites this paper.

SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences? AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:36:03.464378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b282610b-4215-4798-b1f5-f97bd4352cc0 · inbound

NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation cites this paper.

NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:31:27.407612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation af3ce88e-afc2-4893-b170-845c417f66f7 · inbound

ASPI: Seeking Ambiguity Clarification Amplifies Prompt Injection Vulnerability in LLM Agents cites this paper.

ASPI: Seeking Ambiguity Clarification Amplifies Prompt Injection Vulnerability in LLM Agents AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-19T23:57:53.437453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ac4f6777-6314-4bb2-bc2f-93d586002f18 · inbound

From paper to benchmark: agentic, framework-based reproduction of under-specified methods in machine health intelligence cites this paper.

From paper to benchmark: agentic, framework-based reproduction of under-specified methods in machine health intelligence AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T12:23:24.670759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 15d6aef8-158f-4e9d-aabb-e34b373b79f7 · inbound

Empirical Evaluation of Large Language Models for Migration of Code Fragments to Post-Quantum Cryptography cites this paper.

Empirical Evaluation of Large Language Models for Migration of Code Fragments to Post-Quantum Cryptography AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T17:47:17.826141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.