Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection
As of 19 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2107.05908.
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 2026-07-19T06:30:13.599613+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-11T23:16:33.804498Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T00:24:04.888477Z
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 8c6a9d8b-8844-49bf-977f-75fbcf7b5baf · 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 Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:41:06.962076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.
Observation 5b7a0479-3b0f-4e93-961c-ca6f5e6bb45f · inbound
CelerLog: Fast Log Parsing via Dynamic Routing cites this paper.
CelerLog: Fast Log Parsing via Dynamic Routing Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T00:24:04.889561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.
Observation 05183e7a-d3f9-48d5-921a-8298ee0893e3 · inbound
LogNLQ: Natural-Language Log Querying with Parser-Induced and Semantically Grounded Schemas cites this paper.
LogNLQ: Natural-Language Log Querying with Parser-Induced and Semantically Grounded Schemas Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T23:16:33.804498Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.