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Paper Citation Record · LEDGER

Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.02424.

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

pith.paper-citation-record.v1
2503.02424 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:03:13.236245Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T12:43:23.094678Z

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 49bf0504-433b-40e9-bb48-c8f69c7afa2c · inbound

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark cites this paper.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T21:03:13.236245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:03:13.236245Z digest=sha256:e70ed71d370ddef934c3bf6f219fd973ec088b65e0e1f5e881047018714228af

Observation 809ec635-7bc2-46b4-9ea9-8d72e0ee14f0 · inbound

Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection cites this paper.

Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:26.462832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:26.462832Z digest=sha256:89920daab7502dc838e4cdc42a42084cc1e8a3fbacb9c66188049f788fc5fa12

Observation 205b951b-a1f0-4357-a23a-853298185c3d · inbound

Pro-AD: Learning Comprehensive Prototypes with Prototype-based Constraint for Multi-class Unsupervised Anomaly Detection cites this paper.

Pro-AD: Learning Comprehensive Prototypes with Prototype-based Constraint for Multi-class Unsupervised Anomaly Detection Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T20:09:17.274885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:09:17.274885Z digest=sha256:20892f1fa5573be98aefce7478b16512d3c9b258e7cb8191f21ed0a783ff70ec

Observation 3a9ba33a-1904-421b-bdf2-6d717d6f86e6 · 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 Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection

Reference 129

Resolution
unresolved
no resolver link, observed 2026-08-06T17:21:47.423790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:21:47.423790Z digest=sha256:02495595ec26755c4cf8b5e9997d8a509726252181120e0a9dfa2b0544656619

Observation 3c7c81d9-c35c-48ae-9cfe-26ec64bce95a · inbound

Multi-View Reconstruction with Global Context for 3D Anomaly Detection cites this paper.

Multi-View Reconstruction with Global Context for 3D Anomaly Detection Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:43:23.205162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T12:43:21.986464Z digest=sha256:4a8f26d35e64e554a1daa365e6f81be2332f11d269471c556af419706ab5bdb1