Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.08220.
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 2026-08-06T21:18:33.829883Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T15:08:05.146878Z
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 1e2b7a26-6263-4843-8dd5-c7db61b6c341 · inbound
Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling cites this paper.
Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:18:33.829883Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7049817-5341-4e78-a7cd-45e82d13f6f7 · inbound
Multi-Level Service Performance Forecasting via Spatiotemporal Graph Neural Networks cites this paper.
Multi-Level Service Performance Forecasting via Spatiotemporal Graph Neural Networks Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:21:59.984698Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6c0df06-f15e-4fac-9c45-6dc940036d26 · inbound
Collaborative Evolution of Intelligent Agents in Large-Scale Microservice Systems cites this paper.
Collaborative Evolution of Intelligent Agents in Large-Scale Microservice Systems Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T15:08:05.153411Z
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.