Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LogGPT: Log Anomaly Detection via GPT
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2309.14482.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T12:32:14.614807Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T10:04:06.673718Z
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 56297fbc-6d5a-4f41-8cd0-6705827583c7 · inbound
SHIELD: APT Detection and Intelligent Explanation Using LLM cites this paper.
SHIELD: APT Detection and Intelligent Explanation Using LLM LogGPT: Log Anomaly Detection via GPT
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T12:32:14.614807Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e13f5285-8175-4391-a328-55a7db90d2e4 · inbound
Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques cites this paper.
Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques LogGPT: Log Anomaly Detection via GPT
Reference 103
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:24:30.010920Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8cf783b4-d824-424c-9350-23e6d3c91aff · inbound
KRONE: Scalable LLM-Augmented Log Anomaly Detection via Hierarchical Abstraction cites this paper.
KRONE: Scalable LLM-Augmented Log Anomaly Detection via Hierarchical Abstraction LogGPT: Log Anomaly Detection via GPT
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:00:42.993103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2b42c606-46a7-4b97-a850-7d0c8feedd35 · 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 LogGPT: Log Anomaly Detection via GPT
Reference 173
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T08:25:19.284207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cc55f37c-56bd-45fc-9773-c8d58f1aa721 · 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 LogGPT: Log Anomaly Detection via GPT
Reference 173
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T10:04:06.675303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e5be478a-7ae6-4f41-a32e-e88ecea002c8 · inbound
DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs cites this paper.
DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs LogGPT: Log Anomaly Detection via GPT
Reference 95
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T02:53:29.836869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.