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Paper Citation Record · LEDGER

Adapting Large Language Models for Parameter-Efficient Log Anomaly Detection

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.08045.

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

pith.paper-citation-record.v1
2503.08045 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 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 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T10:04:06.506088Z

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 3e28cb87-65f9-46a9-a3ec-833a759d026a · 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 Adapting Large Language Models for Parameter-Efficient Log Anomaly Detection

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:25:19.114809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T08:21:04.998443Z digest=sha256:4ecb927029548c65aca386f67f7a50d8e3b77fd4bd847ea77761457ad0f10345

Observation 250979ee-92c6-4b3f-9ee7-2bbe5900fc59 · 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 Adapting Large Language Models for Parameter-Efficient Log Anomaly Detection

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-05-21T10:04:06.507801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-21T10:00:03.036921Z digest=sha256:5b4546c460e84fa30b129614aff999dd18b8e26080a21334136f44c3dcd72045

Observation 202e166b-c604-49e4-94a7-8d14d12d21a1 · inbound

Fine-Tuning Small Language Models for Solution-Oriented Windows Event Log Analysis cites this paper.

Fine-Tuning Small Language Models for Solution-Oriented Windows Event Log Analysis Adapting Large Language Models for Parameter-Efficient Log Anomaly Detection

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:21:13.391132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-08T09:15:08.555551Z digest=sha256:fe46775720131d0108c8e6c55837a6d2bd4ac0a6997ee79555d726a1f19669fd