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Paper Citation Record · LEDGER

Tools and Benchmarks for Automated Log Parsing

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1811.03509.

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

pith.paper-citation-record.v1
1811.03509 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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T02:19:05.560643Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T02:20:14.324670Z

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 4b625ff0-d366-46d5-87e4-293b54396bce · inbound

A Pvalue-guided Anomaly Detection Approach Combining Multiple Heterogeneous Log Parser Algorithms on IIoT Systems cites this paper.

A Pvalue-guided Anomaly Detection Approach Combining Multiple Heterogeneous Log Parser Algorithms on IIoT Systems Tools and Benchmarks for Automated Log Parsing

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-05-25T02:20:14.327334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T02:19:05.560643Z digest=sha256:6dad69c94d51570720ae926a628349805f20d7324b4f9a8b272a8ebf5ceb5ca2

Observation 4eb0312a-05e0-4731-b665-d42e8810fb45 · inbound

KRONE: Scalable LLM-Augmented Log Anomaly Detection via Hierarchical Abstraction cites this paper.

KRONE: Scalable LLM-Augmented Log Anomaly Detection via Hierarchical Abstraction Tools and Benchmarks for Automated Log Parsing

Reference 89

Resolution
verified exact
local_arxiv, observed 2026-05-16T07:00:42.936408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-16T06:59:23.030671Z digest=sha256:1b98abbcadd110ac3b658bb47ee4cae353929fddca92153dcc4e181b57c48fc2