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Paper Citation Record · LEDGER

Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.05950.

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

pith.paper-citation-record.v1
2307.05950 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:56:49.476257Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T11:57:16.382872Z

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 4f1601b2-9b07-43d8-a669-c5556c9ab958 · inbound

TSGuard: Automated User-Centric Incident Diagnosis for AI Workloads in the Cloud cites this paper.

TSGuard: Automated User-Centric Incident Diagnosis for AI Workloads in the Cloud Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:57:16.384442Z

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.

source=pdf_text observed=2026-05-19T11:56:13.633039Z digest=sha256:5a48708d537056f77425a2da83febf6493c317732205ac4261f447ec755ce186

Observation 73cb5b04-458b-4756-940e-a4b4ad4c00f9 · inbound

PDLogger: Automated Logging Framework for Practical Software Development cites this paper.

PDLogger: Automated Logging Framework for Practical Software Development Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T13:56:49.476257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:49.476257Z digest=sha256:a74183e178a1bd09f3a280b919fc5b00d9e1b18f2c2812cadffdcb88959cc140