Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T17:39:21.344020Z
Paper Citation Record · LEDGER
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection
As of 21 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2508.16034.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
22 of 22 outbound references displayed
- verified exact1
- verified fuzzy10
- unresolved9
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c4971149-0252-4706-a656-d2a3c001441b · outbound
This paper cites Mvtec ad–a comprehensive real- world dataset for unsupervised anomaly detection.
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection Mvtec ad–a comprehensive real- world dataset for unsupervised anomaly detection
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:39:19.339869Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 463a3cdf-c0ee-48d8-a92b-8cd048b6a7d1 · outbound
This paper cites PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization.
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.
Observation 75e592a5-1d79-45e5-90ec-b4b99f4d12af · outbound
This paper cites A theory for multiresolution signal decomposition: The wavelet representation.
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection A theory for multiresolution signal decomposition: The wavelet representation
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:39:24.015411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 853e0873-0686-49c4-b1e9-8bbb89c39515 · outbound
This paper cites Deep residual learning for image recognition.
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection Deep residual learning for image recognition
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:39:19.709439Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30f5cb5f-5397-4420-adbc-50e0fd95bdbe · outbound
This paper cites an unresolved cited work.
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T17:39:23.842272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation edc43afe-53b5-4e83-9d42-3509e49331d1 · outbound
This paper cites Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders.
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:39:19.941879Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4da3408d-027c-408a-8bb6-1789cc1c542b · outbound
This paper cites Memorizing normality to de- tect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection.
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection Memorizing normality to de- tect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:39:23.706272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f90d7cda-9a4d-4779-9632-a50172583184 · outbound
This paper cites Wald- stein, Ursula Schmidt-Erfurth, and Georg Langs.
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection Wald- stein, Ursula Schmidt-Erfurth, and Georg Langs
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:39:23.509638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 52b5205f-952f-475e-a1e8-e749c4e4483f · outbound
This paper cites an unresolved cited work.
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T17:39:23.392557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d9fa67ab-b871-4d13-9ad5-6ae98c1ef901 · outbound
This paper cites Sub-image anomaly detection with deep pyramid correspondences.
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection Sub-image anomaly detection with deep pyramid correspondences
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:39:23.262639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ca95dbfc-99d1-48fa-b1ae-1b290a7f4a34 · outbound
This paper cites Towards Total Recall in Industrial Anomaly Detection.
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection Towards Total Recall in Industrial Anomaly Detection
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:39:20.434011Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9aed30d-1efe-4b6a-b8da-2c4ed9af0849 · outbound
This paper cites Uninformed stu- dents: Student–teacher anomaly detection with dis- criminative latent embeddings.
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection Uninformed stu- dents: Student–teacher anomaly detection with dis- criminative latent embeddings
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:39:23.122314Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 165d14f7-7bf0-4a25-adf6-67bb4a5e045a · outbound
This paper cites Cut- paste: Self-supervised learning for anomaly detection and localization.
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection Cut- paste: Self-supervised learning for anomaly detection and localization
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:39:22.963685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1ede6c57-2747-4e79-8494-7b5d24bc11d6 · outbound
This paper cites Fastflow: Un- supervised anomaly detection and localization via 2d normalizing flows.
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection Fastflow: Un- supervised anomaly detection and localization via 2d normalizing flows
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:39:20.642520Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4f46c1e-fbfe-4749-b8d6-f7c129c3ff86 · outbound
This paper cites Draem: A discriminative reconstruction autoencoder for weakly-supervised anomaly detection.
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection Draem: A discriminative reconstruction autoencoder for weakly-supervised anomaly detection
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:39:22.857096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9201998c-cbe1-4916-b565-46c803fb7f2a · outbound
This paper cites Simulation study on the fleet performance of shared autonomous bicycles.
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection Simulation study on the fleet performance of shared autonomous bicycles
Reference 16
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T17:39:22.146787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cb285f87-e20e-4bc0-9c9f-7b9e63e517ea · outbound
This paper cites Light padim for unsupervised defect detection and location.
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection Light padim for unsupervised defect detection and location
Reference 17
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-05T17:39:21.991562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b7b253ed-ce62-41cd-a1c2-f3c93cbcbe5f · outbound
This paper cites Patch distribution modeling framework adaptive cosine estimator (PaDiM-ACE) for anomaly detection and localization in synthetic aperture radar imagery.
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection Patch distribution modeling framework adaptive cosine estimator (PaDiM-ACE) for anomaly detection and localization in synthetic aperture radar imagery
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T17:39:21.642345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8e3eb1e3-79d5-4474-87ff-6472ec1314ad · outbound
This paper cites Group invariant scattering.Com- munications on Pure and Applied Mathematics, 65 (10):1331–1398, 2012.
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection Group invariant scattering.Com- munications on Pure and Applied Mathematics, 65 (10):1331–1398, 2012
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:39:22.727099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8234e27a-32a8-429c-a6b7-5b728727eed6 · outbound
This paper cites Anomaly detection in time series data using a combination of wavelets, neural networks and hilbert transform.
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection Anomaly detection in time series data using a combination of wavelets, neural networks and hilbert transform
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:39:22.553403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3409f201-db70-4105-8cf3-3b5a75e861f5 · outbound
This paper cites De-noising by soft-thresholding.
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection De-noising by soft-thresholding
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:39:21.279637Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59cdeb36-269e-48be-a669-e5968b7c0f67 · outbound
This paper cites Pytorch: An imperative style, high-performance deep learning li- brary.
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection Pytorch: An imperative style, high-performance deep learning li- brary
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:39:22.449705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.