Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.10350.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T16:34:14.376052Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T08:31:25.961685Z
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 676eab65-3464-41b0-a38b-4669e9d44264 · inbound
Foundation Models for Anomaly Detection: Vision and Challenges cites this paper.
Foundation Models for Anomaly Detection: Vision and Challenges Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:34:14.376052Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 523306a2-c862-4def-b72f-3646d95ee00d · inbound
Good Enough to Learn: LLM-based Anomaly Detection in ECU Logs without Reliable Labels cites this paper.
Good Enough to Learn: LLM-based Anomaly Detection in ECU Logs without Reliable Labels Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:13:13.172479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e96cca0f-90d4-465e-92f9-d8d967935606 · inbound
From Alerts to Intelligence: A Novel LLM-Aided Framework for Host-based Intrusion Detection cites this paper.
From Alerts to Intelligence: A Novel LLM-Aided Framework for Host-based Intrusion Detection Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:29:56.413683Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0186ca0b-c2df-4d7a-93bd-be7928d396e6 · inbound
Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding cites this paper.
Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:57:23.907963Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0fe2af6-1116-4a88-a2b9-a9636b9685d4 · inbound
A Survey of AIOps in the Era of Large Language Models cites this paper.
A Survey of AIOps in the Era of Large Language Models Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
Reference 121
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:26:36.946084Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb7d497a-196d-418f-9825-a53ab086a5d5 · inbound
Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques cites this paper.
Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
Reference 141
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:24:30.222250Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c33d950a-8363-429f-921f-23d63771b062 · inbound
Foundation Models and Transformers for Anomaly Detection: A Survey cites this paper.
Foundation Models and Transformers for Anomaly Detection: A Survey Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:32:52.925183Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6555c13a-ea68-4c9d-8601-69f52c9f7d09 · inbound
A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models cites this paper.
A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
Reference 96
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:49:33.131507Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73e91a1d-dbd6-4d8e-ac4b-0962a71657e7 · inbound
DiagnosticIQ: A Benchmark for LLM-Based Industrial Maintenance Action Recommendation from Symbolic Rules cites this paper.
DiagnosticIQ: A Benchmark for LLM-Based Industrial Maintenance Action Recommendation from Symbolic Rules Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:31:25.964441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.