Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2308.07610.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:39:59.217968Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T07:00:43.044725Z
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 55740275-5071-4f6e-8c75-0e3d3e047936 · inbound
SHIELD: APT Detection and Intelligent Explanation Using LLM cites this paper.
SHIELD: APT Detection and Intelligent Explanation Using LLM Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T12:32:14.663343Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e648dd7-a877-4d7d-99bc-e3e8b56885c6 · inbound
RuleGenie: SIEM Detection Rule Set Optimization cites this paper.
RuleGenie: SIEM Detection Rule Set Optimization Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:39:59.217968Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1b2dbf4-30ba-4f81-8b00-6fa3332ecaae · inbound
A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.
A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies
Reference 134
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T08:15:24.140770Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24b5d77d-a862-45b9-8b40-86e91489496a · inbound
KRONE: Scalable LLM-Augmented Log Anomaly Detection via Hierarchical Abstraction cites this paper.
KRONE: Scalable LLM-Augmented Log Anomaly Detection via Hierarchical Abstraction Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:00:43.047167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e2b665bd-281a-4dcb-bcec-5c2175366f02 · inbound
LLM-Enhanced Log Anomaly Detection: A Comprehensive Benchmark of Large Language Models for Automated System Diagnostics cites this paper.
LLM-Enhanced Log Anomaly Detection: A Comprehensive Benchmark of Large Language Models for Automated System Diagnostics Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T10:01:03.815364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5c750549-8c70-424f-b687-e35c5f387957 · inbound
A pragmatic approach to regulating AI agents cites this paper.
A pragmatic approach to regulating AI agents Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T10:04:06.870715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0bfcae61-a0f1-48be-934d-c106e3d8b4d3 · inbound
AI-Driven Security Alert Screening and Alert Fatigue Mitigation in Security Operations Centers: A Comprehensive Survey cites this paper.
AI-Driven Security Alert Screening and Alert Fatigue Mitigation in Security Operations Centers: A Comprehensive Survey Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies
Reference 161
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:51:14.714983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.