Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2008.06448.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T01:59:43.080297Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T09:16:49.226990Z
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 5cb25a61-fd4f-41a3-a011-c838a6c8cfeb · inbound
AnomalyGen: Enhancing Log-Based Anomaly Detection with Code-Guided Data Augmentation cites this paper.
AnomalyGen: Enhancing Log-Based Anomaly Detection with Code-Guided Data Augmentation Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:41:06.978478Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 50bd5eea-b848-45f6-9f46-64a950593fba · 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 Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:01:03.809701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2a6439db-da75-43a1-b271-193c05bcca8b · inbound
From IOCs to Regex: Automating CTI Operationalization for SOC with LLMs cites this paper.
From IOCs to Regex: Automating CTI Operationalization for SOC with LLMs Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:16:01.881193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d1871a13-0e6a-456b-ade4-fe19f7425454 · inbound
Seeing the Needle in the Haystack: Towards Weakly-Supervised Log Instance Anomaly Localization via Counterfactual Perturbation cites this paper.
Seeing the Needle in the Haystack: Towards Weakly-Supervised Log Instance Anomaly Localization via Counterfactual Perturbation Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:47:26.158152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8e53961f-4395-4f85-893c-042623f12c13 · inbound
State Machine Guided Multi-Relational Synthetic Data from Logs for Anomaly Detection cites this paper.
State Machine Guided Multi-Relational Synthetic Data from Logs for Anomaly Detection Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T20:42:37.683942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6ea4a3cc-b14b-4c5c-8b14-802fe0d814df · inbound
NLLog: Lightweight, Explainable SOC Anomaly Detection via Log-to-Language Rewriting cites this paper.
NLLog: Lightweight, Explainable SOC Anomaly Detection via Log-to-Language Rewriting Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T09:16:49.228576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1fe87128-1dea-4d98-a1f8-81788532a220 · inbound
Context by Distinct Information: An Auditable Dirichlet-Process Working Memory for Long, Redundant Context Streams cites this paper.
Context by Distinct Information: An Auditable Dirichlet-Process Working Memory for Long, Redundant Context Streams Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:45:09.424370Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 938492f9-869e-4b88-bd35-c87360f559b4 · inbound
Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation cites this paper.
Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:59:43.080297Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.