Paper Citation Record · LEDGER

Log Parsing using LLMs with Self-Generated In-Context Learning and Self-Correction

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.03376.

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

pith.paper-citation-record.v1
2406.03376 v2

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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:32:21.379939Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T10:04:06.623267Z

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 dd531a80-b3c7-4540-9ead-f7901960d331 · inbound

Large Language Models for Security Operations Centers: A Comprehensive Survey cites this paper.

Large Language Models for Security Operations Centers: A Comprehensive Survey Log Parsing using LLMs with Self-Generated In-Context Learning and Self-Correction

Reference 193

Resolution: unresolved; no resolver link, observed 2026-08-04T17:32:21.379939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0d5c25c-eda2-4d71-bed3-ab8771ee9db1 · inbound

MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning cites this paper.

MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning Log Parsing using LLMs with Self-Generated In-Context Learning and Self-Correction

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T11:17:08.497588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e847148f-ed80-4e39-8dc7-cdce4bd5fec4 · 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 Log Parsing using LLMs with Self-Generated In-Context Learning and Self-Correction

Reference 186

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:25:19.203872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7c1a9c4c-f508-469a-b949-637c9120d281 · 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 Log Parsing using LLMs with Self-Generated In-Context Learning and Self-Correction

Reference 186

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.625124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.