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Paper Citation Record · LEDGER

EasyNet: An Easy Network for 3D Industrial Anomaly Detection

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.13925.

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

pith.paper-citation-record.v1
2307.13925 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:47:37.235513Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T05:47:37.574281Z

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 c271c53d-c71e-479f-9c5b-67f3f6df891a · inbound

C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor cites this paper.

C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor EasyNet: An Easy Network for 3D Industrial Anomaly Detection

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:47:37.578035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T05:47:37.235513Z digest=sha256:438ebb589161e615fcc444c948c8d81e45463b96ae5ce1129da7236dad52de6e

Observation ed5fa22c-c091-479d-9bfe-b6b66cc9592c · inbound

The 3D Mirage: Probing and Taming 3D Hallucinations cites this paper.

The 3D Mirage: Probing and Taming 3D Hallucinations EasyNet: An Easy Network for 3D Industrial Anomaly Detection

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T15:53:52.438647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:53:52.438647Z digest=sha256:69c9689756c7c9cc9972d925cb0d42bc091f67b6b31ea3c28b99414e1072a3b3