Paper Citation Record · LEDGER

Can We Enhance Bug Report Quality Using LLMs?: An Empirical Study of LLM-Based Bug Report Generation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.18804.

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

pith.paper-citation-record.v1
2504.18804 v1

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 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:06:54.001685Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T16:07:20.367360Z

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 1fb45e88-6be7-486c-8332-e0640b553c5a · inbound

Is Your Automated Software Engineer Trustworthy? cites this paper.

Is Your Automated Software Engineer Trustworthy? Can We Enhance Bug Report Quality Using LLMs?: An Empirical Study of LLM-Based Bug Report Generation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:54.001685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f218f095-c263-469b-ac47-5d80ec03068b · inbound

An Empirical Evaluation of Locally Deployed LLMs for Bug Detection in Python Code cites this paper.

An Empirical Evaluation of Locally Deployed LLMs for Bug Detection in Python Code Can We Enhance Bug Report Quality Using LLMs?: An Empirical Study of LLM-Based Bug Report Generation

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:46:14.750871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0a8d31c2-c0c9-4eea-97f6-6f356a668edd · inbound

ImproBR: Bug Report Improver Using LLMs cites this paper.

ImproBR: Bug Report Improver Using LLMs Can We Enhance Bug Report Quality Using LLMs?: An Empirical Study of LLM-Based Bug Report Generation

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:11:14.653182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 497f1f8c-dc65-43c1-bc69-1ca2fecf2360 · inbound

Bug Report Specification Refinement with Trajectory Guidance for Automated Program Repair cites this paper.

Bug Report Specification Refinement with Trajectory Guidance for Automated Program Repair Can We Enhance Bug Report Quality Using LLMs?: An Empirical Study of LLM-Based Bug Report Generation

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-10T16:07:20.368733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.