Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.14325.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:20:59.197386Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T04:31:00.087378Z
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 4ee964b0-24da-46ab-baa0-77b89bce62f2 · inbound
OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning cites this paper.
OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:20:59.197386Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf277b10-e481-4b52-872a-344416f49285 · 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 Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:03:10.328020Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 649875e4-947a-4ae8-98db-bf784efd8b1d · inbound
A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects cites this paper.
A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
Reference 87
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:21:43.868007Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 985aee26-20b2-4ed5-a3f7-8b17a64e9fbd · inbound
Multi-View Reconstruction with Global Context for 3D Anomaly Detection cites this paper.
Multi-View Reconstruction with Global Context for 3D Anomaly Detection Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:43:21.825025Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31000e1f-15d5-46c3-ace4-38501010e925 · inbound
Real-IAD MVN: A Multi-View Normal Vector Dataset and Benchmark for High-Fidelity Industrial Anomaly Detection cites this paper.
Real-IAD MVN: A Multi-View Normal Vector Dataset and Benchmark for High-Fidelity Industrial Anomaly Detection Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:31:00.090120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.