Paper Citation Record · LEDGER

Automatic Code Summarization via ChatGPT: How Far Are We?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2305.12865.

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

pith.paper-citation-record.v1
2305.12865 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:10:43.559168Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:28:55.072670Z

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 606245b2-7cc3-46ba-aa4e-08686a6a01af · inbound

METAMON: Finding Inconsistencies between Program Documentation and Behavior using Metamorphic LLM Queries cites this paper.

METAMON: Finding Inconsistencies between Program Documentation and Behavior using Metamorphic LLM Queries Automatic Code Summarization via ChatGPT: How Far Are We?

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T11:10:43.559168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee3e3ad3-2fa9-44e2-9620-72ab9ebab2e8 · inbound

Resource-Efficient & Effective Code Summarization cites this paper.

Resource-Efficient & Effective Code Summarization Automatic Code Summarization via ChatGPT: How Far Are We?

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T04:23:34.610616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4e84b5a-c989-4759-92a2-56eb3f667643 · inbound

Accelerating Automatic Program Repair with Dual Retrieval-Augmented Fine-Tuning and Patch Generation on Large Language Models cites this paper.

Accelerating Automatic Program Repair with Dual Retrieval-Augmented Fine-Tuning and Patch Generation on Large Language Models Automatic Code Summarization via ChatGPT: How Far Are We?

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:50.194098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f39464d4-4de8-4793-990f-8cf37df30951 · inbound

When Retriever Meets Generator: A Joint Model for Code Comment Generation cites this paper.

When Retriever Meets Generator: A Joint Model for Code Comment Generation Automatic Code Summarization via ChatGPT: How Far Are We?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T16:48:43.367479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c67f59d9-0a16-48b9-819f-897a3336bbb9 · inbound

ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts cites this paper.

ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Automatic Code Summarization via ChatGPT: How Far Are We?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T21:22:01.242288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f28b4c9b-0136-4ebe-8beb-7eec5858bc62 · inbound

ReDef: Do Code Language Models Truly Understand Code Changes for Just-in-Time Software Defect Prediction? cites this paper.

ReDef: Do Code Language Models Truly Understand Code Changes for Just-in-Time Software Defect Prediction? Automatic Code Summarization via ChatGPT: How Far Are We?

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:26:43.777615Z

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 02171023-45b3-4125-a7aa-56271a5ba623 · 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 Automatic Code Summarization via ChatGPT: How Far Are We?

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T16:56:10.908835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e368488-3bb7-45d6-a5e8-2744f6e06d42 · inbound

CodeWiki: Evaluating AI's Ability to Generate Holistic Documentation for Large-Scale Codebases cites this paper.

CodeWiki: Evaluating AI's Ability to Generate Holistic Documentation for Large-Scale Codebases Automatic Code Summarization via ChatGPT: How Far Are We?

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:10:48.451901Z

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 0d3b035c-04e5-458c-976a-ad86ff9c428f · inbound

An Empirical Study on Influence-Based Pretraining Data Selection for Code Large Language Models cites this paper.

An Empirical Study on Influence-Based Pretraining Data Selection for Code Large Language Models Automatic Code Summarization via ChatGPT: How Far Are We?

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:16:04.502122Z

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 0fe61fe6-403a-4e93-8b8d-b373bde4a15a · inbound

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

Prompt-Driven Code Summarization: A Systematic Literature Review Automatic Code Summarization via ChatGPT: How Far Are We?

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:35:18.541479Z

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 104cb9e4-2fa6-4aa5-a3a0-ce950d168123 · inbound

Agent4cs: A Multi-agent System for Code Summarization in Large Hierarchical Codebases cites this paper.

Agent4cs: A Multi-agent System for Code Summarization in Large Hierarchical Codebases Automatic Code Summarization via ChatGPT: How Far Are We?

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:28:55.074355Z

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 974b671e-0909-43fe-9d11-68ad47c719c3 · inbound

Agent4cs: A Multi-agent System for Code Summarization in Large Hierarchical Codebases cites this paper.

Agent4cs: A Multi-agent System for Code Summarization in Large Hierarchical Codebases Automatic Code Summarization via ChatGPT: How Far Are We?

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-12T08:50:08.955250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.