Paper Citation Record · LEDGER

Enhancing Automated Program Repair through Fine-tuning and Prompt Engineering

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2304.07840.

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

pith.paper-citation-record.v1
2304.07840 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:46:24.302775Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T19:28:20.737897Z

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 48e561f3-a926-441e-8e2a-8ed320739e42 · inbound

When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair cites this paper.

When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair Enhancing Automated Program Repair through Fine-tuning and Prompt Engineering

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:24.302775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc801dc3-f178-4f16-9a9f-7fc8cd22ea77 · inbound

PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing cites this paper.

PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing Enhancing Automated Program Repair through Fine-tuning and Prompt Engineering

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T13:45:44.100923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a0a54a5-c9f2-4cce-8b6f-6a192e52acbc · inbound

The Impact of Fine-tuning Large Language Models on Automated Program Repair cites this paper.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Enhancing Automated Program Repair through Fine-tuning and Prompt Engineering

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T13:56:43.471998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5167ca3f-041d-411f-a6b8-e35629f35a2b · inbound

DynaFix: Iterative Automated Program Repair Driven by Execution-Level Dynamic Information cites this paper.

DynaFix: Iterative Automated Program Repair Driven by Execution-Level Dynamic Information Enhancing Automated Program Repair through Fine-tuning and Prompt Engineering

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:28:20.739606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.