Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Rethinking Assumptions in Deep Anomaly Detection
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2006.00339.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T12:27:29.810652Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-04T23:42:42.860912Z
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 92149433-2b8b-47ab-98cb-3882a2916446 · inbound
GraphSubDetector: Time Series Subsequence Anomaly Detection via Density-Aware Adaptive Graph Neural Network cites this paper.
GraphSubDetector: Time Series Subsequence Anomaly Detection via Density-Aware Adaptive Graph Neural Network Rethinking Assumptions in Deep Anomaly Detection
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:27:29.810652Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44d4d531-5e03-4259-a86f-3be73fd1dcb6 · inbound
INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning cites this paper.
INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning Rethinking Assumptions in Deep Anomaly Detection
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:03:10.835658Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3df970fe-de84-440c-bc49-1e9114d9d847 · inbound
CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments cites this paper.
CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Rethinking Assumptions in Deep Anomaly Detection
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T23:42:42.867499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.