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Paper Citation Record · LEDGER

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection

As of 11 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2501.09187.

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

pith.paper-citation-record.v1
2501.09187 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:14:17.713458Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

  • verified exact1
  • verified fuzzy29
  • unresolved15
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation afbdd0c5-cc5b-4dcb-9ae3-609fa96d8043 · outbound

This paper cites Visual-based defect detection and classifica- tion approaches for industrial applications—a survey,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Visual-based defect detection and classifica- tion approaches for industrial applications—a survey,

Reference 1

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 72cfd77d-529d-4b05-a5a3-85278447ecb8 · outbound

This paper cites 72-3: Deep learning based visual defect detection in noisy and imbalanced data,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection 72-3: Deep learning based visual defect detection in noisy and imbalanced data,

Reference 2

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Unavailable: canonical work link unavailable.

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Observation bcd6e340-553f-4453-98c0-5be982f3c3dc · outbound

This paper cites 6-4: Deep learning for classification of repairable defects in display panels using multi-modal data,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection 6-4: Deep learning for classification of repairable defects in display panels using multi-modal data,

Reference 3

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 8d88fc76-f0e3-4ac3-ad2b-24e7ae0175f9 · outbound

This paper cites 32-1: Improving qd backplane defect image generation using automatic masking in diffusion models,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection 32-1: Improving qd backplane defect image generation using automatic masking in diffusion models,

Reference 4

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Observation ad007446-41cd-49fc-aeb2-1830a61c4ece · outbound

This paper cites Automatic fabric defect detection with a multi-scale convolutional denoising autoencoder network model,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Automatic fabric defect detection with a multi-scale convolutional denoising autoencoder network model,

Reference 5

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Observation 15a9798e-0167-4e53-b085-d38554453c3a · outbound

This paper cites A generic deep-learning-based approach for automated surface inspection,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection A generic deep-learning-based approach for automated surface inspection,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 8eef3a91-544a-41e1-972b-52bb6db1335f · outbound

This paper cites Research on the Application of Computer Vision Based on Deep Learning in Autonomous Driving Technology.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Research on the Application of Computer Vision Based on Deep Learning in Autonomous Driving Technology

Reference 7

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Observation d39958d4-58ce-4b75-bc36-b8339f051afc · outbound

This paper cites A vehicle classification method based on machine learning,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection A vehicle classification method based on machine learning,

Reference 8

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raw_fallback, observed 2026-08-10T20:14:18.265665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 8de286b0-bc04-4ff8-86d2-04f0932c8c8e · outbound

This paper cites Estimation of energy and time usage in 3d printing with multimodal neural network,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Estimation of energy and time usage in 3d printing with multimodal neural network,

Reference 9

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raw_fallback, observed 2026-08-10T20:14:18.249851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation e4b8e843-ce13-4d87-9473-70fd7fe7a1b0 · outbound

This paper cites Deep industrial image anomaly detection: A survey,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Deep industrial image anomaly detection: A survey,

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a76a0f98-f883-41fe-833a-02e297acc6f9 · outbound

This paper cites Simple and effective prevention of mode collapse in deep one-class classification,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Simple and effective prevention of mode collapse in deep one-class classification,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation f436c9ea-4998-40db-be10-4bd25424bc60 · outbound

This paper cites Padim: a patch distri- bution modeling framework for anomaly detection and localization,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Padim: a patch distri- bution modeling framework for anomaly detection and localization,

Reference 12

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raw_fallback, observed 2026-08-10T20:14:18.203813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 38ed4dde-2434-4b60-88b8-ef1f84215893 · outbound

This paper cites Towards Total Recall in Industrial Anomaly Detection.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Towards Total Recall in Industrial Anomaly Detection

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b003a95c-e752-43c6-a0b3-8cc4a33a21f6 · outbound

This paper cites Hierarchi- cal vector quantized transformer for multi-class unsupervised anomaly detection,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Hierarchi- cal vector quantized transformer for multi-class unsupervised anomaly detection,

Reference 14

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raw_fallback, observed 2026-08-10T20:14:18.188149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:14:17.589623Z digest=sha256:fea8ae107744d727e703dc1ec4243e7169acb2ec56096169eebd052e69ec9c67

Observation 8de0efdb-25ff-432c-9d8f-ffd6756700af · outbound

This paper cites Memorizing normality to detect anomaly: Memory- augmented deep autoencoder for unsupervised anomaly detection,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Memorizing normality to detect anomaly: Memory- augmented deep autoencoder for unsupervised anomaly detection,

Reference 15

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raw_fallback, observed 2026-08-10T20:14:18.174315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation f4c92348-bbda-4389-9cd0-738ee08c9538 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Imagenet: A large-scale hierarchical image database,

Reference 16

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raw_fallback, observed 2026-08-10T20:14:18.156579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:14:17.597492Z digest=sha256:06daa52aea4a2e7e8db2e48f0fd9bc532c2e6fa045a31afa95db143ddf9ba2aa

Observation 44d33b43-2ae8-40b4-bcd5-160a1a79c15c · outbound

This paper cites Deep one-class classification,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Deep one-class classification,

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:14:17.601120Z digest=sha256:f0fb4dc3996d181eb332e849d1033eadb353452258f4b513737c90efad9d57fa

Observation 60d93420-1ec5-4296-a10a-578dc5688c98 · outbound

This paper cites Deep Anomaly Detection Using Geometric Transformations.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Deep Anomaly Detection Using Geometric Transformations

Reference 18

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Observation 8b572580-983f-459d-a7d2-109e3306e1e3 · outbound

This paper cites Patch svdd: Patch-level svdd for anomaly detection and segmentation,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Patch svdd: Patch-level svdd for anomaly detection and segmentation,

Reference 19

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raw_fallback, observed 2026-08-10T20:14:18.129120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation b1465523-9f54-4456-ac87-256c1ab02857 · outbound

This paper cites Enhancing eye-tracking performance through multi-task learning transformer,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Enhancing eye-tracking performance through multi-task learning transformer,

Reference 20

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Unavailable: canonical work link unavailable.

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Observation 7cce7c49-4062-4501-b31b-484c748bf8ea · outbound

This paper cites Cutpaste: Self-supervised learning for anomaly detection and localization,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Cutpaste: Self-supervised learning for anomaly detection and localization,

Reference 21

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raw_fallback, observed 2026-08-10T20:14:18.107530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:14:17.617345Z digest=sha256:9cd04d3b5e4d36b7a869d16c942d20181d09f1a481a0c8d2dd016e59ec956704

Observation 86a84e5b-7f12-4314-b5c6-6f1914c06023 · outbound

This paper cites Anomaly detection using autoencoders with nonlinear dimensionality reduction,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Anomaly detection using autoencoders with nonlinear dimensionality reduction,

Reference 22

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raw_fallback, observed 2026-08-10T20:14:18.095234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:14:17.621365Z digest=sha256:d590540e7d92cc21906661e195cedd647657e8bfb270aa815a7ef4bebc25cf4a

Observation fe6dedb1-d181-49c5-a5be-ac951f7b868d · outbound

This paper cites Deep architecture for high- speed railway insulator surface defect detection: Denoising autoencoder with multitask learning,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Deep architecture for high- speed railway insulator surface defect detection: Denoising autoencoder with multitask learning,

Reference 23

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:14:17.625360Z digest=sha256:54311838a7cd779601c5392595fe80f3c63a0703e8f5571201555c51375e6b29

Observation 783bad76-5f66-49ae-a924-28b02d1eda01 · outbound

This paper cites Adversarially learned one-class classifier for novelty detection,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Adversarially learned one-class classifier for novelty detection,

Reference 24

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raw_fallback, observed 2026-08-10T20:14:18.067614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:14:17.629162Z digest=sha256:9c5b44ec682bf326486beac959ce8701a57e985c538ffd807fa734a91ff65656

Observation 5b8eefc7-da3d-47b5-a832-dc253be833c1 · outbound

This paper cites At- tention guided anomaly localization in images,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection At- tention guided anomaly localization in images,

Reference 25

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raw_fallback, observed 2026-08-10T20:14:18.054756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:14:17.633142Z digest=sha256:444c60fa10a8ccef124aef95477ca7ba43cb471f1e6c3e235a38e2d338f8592d

Observation 507a5009-1ca1-41bd-a4a3-a84ef4c2402d · outbound

This paper cites Deep autoencoding gaussian mixture model for unsupervised anomaly detection,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Deep autoencoding gaussian mixture model for unsupervised anomaly detection,

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:14:17.637195Z digest=sha256:83fd2d8c15e97fe5a8f0a444cbf7d38a4b9a7198f1a2bf80d03c2bccf6cc2c40

Observation 675bdae0-6f8b-465c-9b89-cf2a8d624e0d · outbound

This paper cites Same same but differnet: Semi-supervised defect detection with normalizing flows,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Same same but differnet: Semi-supervised defect detection with normalizing flows,

Reference 27

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raw_fallback, observed 2026-08-10T20:14:18.030514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:14:17.640996Z digest=sha256:f2eb9b75c0f02bb343cd0f8d5e8e06a866e9620c433c86f1d4ca8c74b3a58b12

Observation 63d0f07a-d841-4276-ab4d-a8258a5ee19d · outbound

This paper cites CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows

Reference 28

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local_arxiv, observed 2026-08-10T20:14:17.801028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:14:17.644875Z digest=sha256:455bf4b24062cdccbb0a8aa59f0396985c45de241dd6cf9d06ec63d69f4a8f58

Observation c8e86cf4-ea62-431d-8acd-75f04ac61cc5 · outbound

This paper cites Uninformed students: Student-teacher anomaly detection with discriminative latent embeddings,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Uninformed students: Student-teacher anomaly detection with discriminative latent embeddings,

Reference 29

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raw_fallback, observed 2026-08-10T20:14:18.011740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:14:17.649068Z digest=sha256:3c6ad072f65aed6b5fe6b6b568f23b41a678165e89d40db8c61bf7835f3db0d5

Observation 492733fa-7000-4d34-a721-370ecdbb6c11 · outbound

This paper cites Student-Teacher Feature Pyramid Matching for Anomaly Detection.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Student-Teacher Feature Pyramid Matching for Anomaly Detection

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:14:17.652766Z digest=sha256:5b92da780fe606ff8e06ba1db6647ce88950f1641117fbe6fe62d2d599bfa0f7

Observation 2c7b4f0f-a4e4-44d9-8606-69399b0a0179 · outbound

This paper cites Sub-Image Anomaly Detection with Deep Pyramid Correspondences.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:14:17.657045Z digest=sha256:16e0226f359ba56ba4d6beb9e6fcf83397ed48dc9798b4a27bfcbe9c5d702880

Observation 7ee0f2db-ebae-4d68-b6fb-d0361926bce0 · outbound

This paper cites Gersho and R.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Gersho and R

Reference 32

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raw_fallback, observed 2026-08-10T20:14:17.994449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:14:17.661313Z digest=sha256:c68fb26f4cb72c38a6725b5c8b5a8270279cdde15d4053120753ba217a7c5804

Observation 7ca2bb21-2818-4131-8d0d-8379a27b30f7 · outbound

This paper cites Neural discrete representation learning,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Neural discrete representation learning,

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:14:17.665134Z digest=sha256:6253a02a8bb42f52570dee131b8cede8510235a1cba069b5ff6cd2afd3035722

Observation 124719b1-596d-43f4-a1ea-ea5c75e150f5 · outbound

This paper cites Exploring ai music generation: A review of deep learning algorithms and datasets for undergraduate researchers,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Exploring ai music generation: A review of deep learning algorithms and datasets for undergraduate researchers,

Reference 34

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raw_fallback, observed 2026-08-10T20:14:17.972956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:14:17.668803Z digest=sha256:c97ff5f86679b5249aa016c1cb7e3674a7e707a904c21e3d8458fac15ee1e4f8

Observation b3ee6ed1-b89c-4f03-b823-bbf75bd29cbe · outbound

This paper cites Taming transformers for high- resolution image synthesis,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Taming transformers for high- resolution image synthesis,

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-10T20:14:17.959479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 03812d93-2856-4467-ad39-0ac27af32cf1 · outbound

This paper cites Integrated optimization of large language models: Synergizing data utilization and compression techniques,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Integrated optimization of large language models: Synergizing data utilization and compression techniques,

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c08f1978-ab5d-4cc3-a564-09ae8145fecb · outbound

This paper cites Optimizing the literature review process: Evaluating generative ai models on sum- marizing undergraduate data science research papers,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Optimizing the literature review process: Evaluating generative ai models on sum- marizing undergraduate data science research papers,

Reference 37

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation fd52704b-f0c6-45c8-9dfe-736365e824c2 · outbound

This paper cites Patch- wise vector quantization for unsupervised medical anomaly detection,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Patch- wise vector quantization for unsupervised medical anomaly detection,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:14:17.919405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation bb083b2a-1b56-4a86-ae2b-745c06eae094 · outbound

This paper cites Neural discrete representation learning,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Neural discrete representation learning,

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 3219e484-b9d1-46f6-a99e-21aad16c746a · outbound

This paper cites Towards accurate image coding: Improved autoregressive image generation with dynamic vector quantization,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Towards accurate image coding: Improved autoregressive image generation with dynamic vector quantization,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:14:17.890016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 0964d9fa-6aa6-4432-9697-56c616d2dc0d · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Categorical Reparameterization with Gumbel-Softmax

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:17.697344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:14:17.697344Z digest=sha256:bc8ee3f5774801eefb85fc5670329ba321ca3a29dd1ca7eee4159028aef0f364

Observation efce42be-336d-49ea-9df6-bba00615ee84 · outbound

This paper cites Real-iad: A real-world multi-view dataset for benchmarking versatile industrial anomaly detection,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Real-iad: A real-world multi-view dataset for benchmarking versatile industrial anomaly detection,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:14:17.877665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation f7239f0d-9e8b-4a07-bf4e-1fea214c2d07 · outbound

This paper cites Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:14:17.866174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:14:17.705276Z digest=sha256:07bc65bcdd8c3d8f6047ca433beb323765207ea7b5a1e3bb50742191ed58f105

Observation 2d13b294-0077-42be-8e9e-0fb0f48653ff · outbound

This paper cites VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:17.708995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:14:17.708995Z digest=sha256:8fe81ee84c30b9bc8f8f656e455ee1c413bf374e1c81f73c6a85d8ecb3bb7498

Observation b35e9747-cea4-4449-b352-4d31161ea358 · outbound

This paper cites Surface defect saliency of magnetic tile,.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Surface defect saliency of magnetic tile,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:14:17.851918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Pith citing papers

No inbound Pith citation observations are available.