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Paper Citation Record · LEDGER

PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2011.08785.

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

pith.paper-citation-record.v1
2011.08785 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:05:35.350864Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:40:06.740949Z

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 20478d29-15bc-48ca-9d34-3f1944e9ac36 · inbound

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities cites this paper.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:03.365367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:03.365367Z digest=sha256:00c147337916762e630d8db4e08b382534daefe99e3591cdede779885e542f7f

Observation 73ab528a-209a-46ed-9232-426defb9ddd5 · inbound

SP-Mamba: Spatial-Perception State Space Model for Unsupervised Medical Anomaly Detection cites this paper.

SP-Mamba: Spatial-Perception State Space Model for Unsupervised Medical Anomaly Detection PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-15T18:05:35.350864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:05:35.350864Z digest=sha256:8db4857ead7c52be7a344d325c0caadde77d045f72945cdd113d424e330dd58c

Observation 463a3cdf-c0ee-48d8-a92b-8cd048b6a7d1 · inbound

Wavelet-Enhanced PaDiM for Industrial Anomaly Detection cites this paper.

Wavelet-Enhanced PaDiM for Industrial Anomaly Detection PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T17:39:19.453081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:39:19.453081Z digest=sha256:6c09780090fbfd5f915ad00ca898da6df43707a45ead3f951af29ea2ae71162c

Observation d7731029-b18a-4c8c-a7e6-b82a88807c61 · inbound

HLGFA: High-Low Resolution Guided Feature Alignment for Unsupervised Anomaly Detection cites this paper.

HLGFA: High-Low Resolution Guided Feature Alignment for Unsupervised Anomaly Detection PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-16T03:07:11.878218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T03:05:37.320403Z digest=sha256:45fb721934cac375bc6c8e9fcaaec59abd5b1d0da72cfef9223a41125f415af6

Observation e3b73cc1-9c6f-4e3a-aab8-0ec0144a99bd · inbound

Hypergraph Normal World Models for Logical Visual Anomaly Detection cites this paper.

Hypergraph Normal World Models for Logical Visual Anomaly Detection PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T19:40:06.742418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-25T21:09:19.682153Z digest=sha256:1a468a3dd46efba45176740352bf142101f7b61ab1a4f478c99f795dc5606e2f

Observation 3bf5b7cc-8e37-484c-8170-d30407e93804 · inbound

Benchmark AUC Is Not Deployable Reliability: A Cross-Dataset Audit of Off-the-Shelf Features for Surveillance Video Anomaly Detection cites this paper.

Benchmark AUC Is Not Deployable Reliability: A Cross-Dataset Audit of Off-the-Shelf Features for Surveillance Video Anomaly Detection PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T07:34:21.582900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T07:29:32.843624Z digest=sha256:d23793d8c1b2e33c9bd8140c9a0aa4d21c05507a760bac5a1fe24de522d81808