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Paper Citation Record · LEDGER

Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.08836.

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

pith.paper-citation-record.v1
2308.08836 v1

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T10:00:03.036921Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 973a6aec-9769-4f1f-abce-ecf3ee957dab · inbound

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis cites this paper.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:25:18.575852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T08:21:04.998443Z digest=sha256:dd31058a7add3b9efb463ee308d55db26c2afa8527cf12b325305c33c8d27519

Observation f3c0f471-1c23-48bf-8f4f-787844447eef · inbound

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis cites this paper.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-21T10:04:06.131967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T10:00:03.036921Z digest=sha256:760420a4f2d954fccc379f097c552b146482f181f93776c5638cc0bda6ae11aa