Paper Citation Record · LEDGER

Explainable Deep One-Class Classification

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2007.01760.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2007.01760 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:00:03.570447Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-16T22:01:17.967692Z

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 91d06da3-e301-4d52-81d2-b7db9d97d509 · inbound

Tab-Shapley: Identifying Top-k Tabular Data Quality Insights cites this paper.

Tab-Shapley: Identifying Top-k Tabular Data Quality Insights Explainable Deep One-Class Classification

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T21:00:03.570447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e73ea83-7af3-404d-b701-21984595c162 · inbound

The Evolution of Video Anomaly Detection: A Unified Framework from DNN to MLLM cites this paper.

The Evolution of Video Anomaly Detection: A Unified Framework from DNN to MLLM Explainable Deep One-Class Classification

Reference 124

Resolution: unresolved; no resolver link, observed 2026-08-06T12:34:00.572895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4045ef78-6460-43fd-806c-03b8cc12c453 · inbound

AgentIAD: Agentic Industrial Anomaly Detection via Adaptive Memory Augmentation cites this paper.

AgentIAD: Agentic Industrial Anomaly Detection via Adaptive Memory Augmentation Explainable Deep One-Class Classification

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:01:17.969197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6e916004-fd98-420c-baae-874cd78f62a1 · inbound

CORE: In-Context Reconstruction for Unified Tabular Anomaly Detection cites this paper.

CORE: In-Context Reconstruction for Unified Tabular Anomaly Detection Explainable Deep One-Class Classification

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T04:39:41.299406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.