Pith. sign in

Paper Citation Record · LEDGER

MoViAD: A Modular Library for Visual Anomaly Detection

As of 21 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2507.12049.

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

pith.paper-citation-record.v1
2507.12049 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:58:33.342978Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

32 of 32 outbound references displayed

  • verified exact6
  • verified fuzzy15
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 082de092-67cb-4a04-82a5-ac1df5d3be89 · outbound

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

MoViAD: A Modular Library for Visual Anomaly Detection Mvtec ad — a comprehensive real-world dataset for unsupervised anomaly detection,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:38.759893Z

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.

source=pdf_text observed=2026-08-06T16:58:30.312081Z digest=sha256:b4391e8cfdb7c51da28b0b5d55f3d7b245b77e098e7bdf5c50183ec51515f1c4

Observation f89932cc-893f-4bb3-b750-f47046f51df2 · outbound

This paper cites Bmad: Benchmarks for medical anomaly detection,.

MoViAD: A Modular Library for Visual Anomaly Detection Bmad: Benchmarks for medical anomaly detection,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:38.588802Z

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.

source=pdf_text observed=2026-08-06T16:58:30.397684Z digest=sha256:fb99901ef87ff0e7cea0d8bd4cba78489708f26c808249fc68475875c02f338e

Observation a94f2a10-2bce-4e1f-9c46-24966d57427f · outbound

This paper cites SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation.

MoViAD: A Modular Library for Visual Anomaly Detection SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:30.587110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:30.587110Z digest=sha256:21de430aad1a47a11cda0bf3950b57388d03662e2aa1852cbb6439a7898d21f0

Observation 86baea16-5851-4d07-92f3-973f1b205d3e · outbound

This paper cites ROADS: Robust Prompt-driven Multi-Class Anomaly Detection under Domain Shift.

MoViAD: A Modular Library for Visual Anomaly Detection ROADS: Robust Prompt-driven Multi-Class Anomaly Detection under Domain Shift

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:58:35.298739Z

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.

source=pdf_text observed=2026-08-06T16:58:30.663211Z digest=sha256:da5e35e17ad80e8e883e4d4c27e92445c7c93ff6fba8b0ca0271fca049dd93f8

Observation 1bc64250-973a-43c9-a37a-f33eb9a5185c · outbound

This paper cites Unveiling the anomalies in an ever-changing world: A benchmark for pixel-level anomaly detection in continual learning,.

MoViAD: A Modular Library for Visual Anomaly Detection Unveiling the anomalies in an ever-changing world: A benchmark for pixel-level anomaly detection in continual learning,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:38.422708Z

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.

source=pdf_text observed=2026-08-06T16:58:30.768462Z digest=sha256:6c591d8d9eb1112f5b86093dffe7a7c1fc4c6c48f5e4ade6f5e0c66dedfce42f

Observation a771b963-15ea-4d6b-9f44-968ce734eaa3 · outbound

This paper cites ONER: Online Experience Replay for Incremental Anomaly Detection.

MoViAD: A Modular Library for Visual Anomaly Detection ONER: Online Experience Replay for Incremental Anomaly Detection

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:58:35.056346Z

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.

source=pdf_text observed=2026-08-06T16:58:30.849589Z digest=sha256:eebb67863a3c7da824d86f9d3b5b691cf4133b43241d6aa514df793025ea96b3

Observation 08092a4e-22e8-4586-8bbc-0a8f3388104a · outbound

This paper cites Memory Efficient Continual Learning for Edge-Based Visual Anomaly Detection.

MoViAD: A Modular Library for Visual Anomaly Detection Memory Efficient Continual Learning for Edge-Based Visual Anomaly Detection

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:30.935478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:30.935478Z digest=sha256:4b1775b97cddef09fbd25e4aa258786aad4aa370feb35e5db1d54297ac5d9b00

Observation 5f9a9089-ef81-45a7-ae31-92e14a5b8588 · outbound

This paper cites Paste: Improving the effi- ciency of visual anomaly detection at the edge,.

MoViAD: A Modular Library for Visual Anomaly Detection Paste: Improving the effi- ciency of visual anomaly detection at the edge,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:38.217939Z

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.

source=pdf_text observed=2026-08-06T16:58:31.029666Z digest=sha256:08e68b38c6a78db8291ec258b72a16b3e0c0b63801f5fa84131a6822506da160

Observation 885c0a56-2a23-4f13-af8d-65185c3b7b67 · outbound

This paper cites Towards scalable iot deployment for visual anomaly detection via efficient compression,.

MoViAD: A Modular Library for Visual Anomaly Detection Towards scalable iot deployment for visual anomaly detection via efficient compression,

Reference 9

Resolution
verified exact
raw_fallback, observed 2026-08-06T16:58:34.830913Z

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.

source=pdf_text observed=2026-08-06T16:58:31.111003Z digest=sha256:de9b11579cf7c0b2763c297d6e7ddd24c6109c4f5cc338d400e3efd282463805

Observation 51c194f4-3599-43e9-979a-105129e6f26f · outbound

This paper cites Winclip: Zero-/few-shot anomaly clas- sification and segmentation,.

MoViAD: A Modular Library for Visual Anomaly Detection Winclip: Zero-/few-shot anomaly clas- sification and segmentation,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:37.994268Z

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.

source=pdf_text observed=2026-08-06T16:58:31.211623Z digest=sha256:1126d2d2f21a68ca09ac489d5c928e3a516f9276d037afc93136d4a2167713ad

Observation bd126484-af75-4db6-8b40-3d797ac1a287 · outbound

This paper cites Few-shot anomaly detection via personalization,.

MoViAD: A Modular Library for Visual Anomaly Detection Few-shot anomaly detection via personalization,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:37.774459Z

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.

source=pdf_text observed=2026-08-06T16:58:31.313523Z digest=sha256:f5375df9159657508cf30da1844a006f90ec5c675b2bea1d5bcc12611cea531b

Observation c97311b1-63ae-4d40-bd82-d3fda87e818c · outbound

This paper cites SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation.

MoViAD: A Modular Library for Visual Anomaly Detection SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:31.400770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:31.400770Z digest=sha256:4dfd68d6366400cc5d4b65ee18d6b2f8aa44edfe798997ee5e0012c4070358cc

Observation a0bda884-6dbc-41b1-982b-18f8376b6dbd · outbound

This paper cites Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection.

MoViAD: A Modular Library for Visual Anomaly Detection Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:58:34.479832Z

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.

source=pdf_text observed=2026-08-06T16:58:31.510134Z digest=sha256:79ca9cfa151c10f20616f2b554f10ea9f818c8abf5dbd01bd25a3866bd6c5162

Observation 8ed15b5c-3904-40e6-8ad1-16955433f089 · outbound

This paper cites Joint anomaly detec- tion and inpainting for microscopy images via deep self-supervised learning,.

MoViAD: A Modular Library for Visual Anomaly Detection Joint anomaly detec- tion and inpainting for microscopy images via deep self-supervised learning,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:37.584055Z

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.

source=pdf_text observed=2026-08-06T16:58:31.601883Z digest=sha256:6e9f793cac97bed5c0b6ce3f38e89c99ab88b883eb59a229ec4eee1388d55aef

Observation f5e4e0ce-3605-4f47-90ee-a0c87c87d9db · outbound

This paper cites Beyond dents and scratches: Logical constraints in unsupervised anomaly detection and localization,.

MoViAD: A Modular Library for Visual Anomaly Detection Beyond dents and scratches: Logical constraints in unsupervised anomaly detection and localization,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:31.685797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:31.685797Z digest=sha256:de7baafa3193f34ddd8098542ed4897c731b52d5323fb6ee9d2f03328f2ca055

Observation 3d89f9e1-3ca5-4e26-beb1-630d76f82f31 · outbound

This paper cites Towards Total Recall in Industrial Anomaly Detection.

MoViAD: A Modular Library for Visual Anomaly Detection Towards Total Recall in Industrial Anomaly Detection

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:31.799061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:31.799061Z digest=sha256:47fd9e4ec38573bb0cbe248b567da8b218fafd587956ab4e1967702f1922c8b3

Observation 51a0f46c-d8e3-4904-a175-d657a66fee0d · outbound

This paper cites Cfa: Coupled-hypersphere-based feature adaptation for target-oriented anomaly localization,.

MoViAD: A Modular Library for Visual Anomaly Detection Cfa: Coupled-hypersphere-based feature adaptation for target-oriented anomaly localization,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:37.369235Z

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.

source=pdf_text observed=2026-08-06T16:58:31.916889Z digest=sha256:9d9e51dd0431d3bfd58350524122aa5162ccb03077d6d4153f7ef1fc973a2a03

Observation ed362b51-e17e-4495-9202-0297d4b64079 · outbound

This paper cites PaDiM: A patch distribution modeling framework for anomaly detection and localization,.

MoViAD: A Modular Library for Visual Anomaly Detection PaDiM: A patch distribution modeling framework for anomaly detection and localization,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:37.181351Z

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.

source=pdf_text observed=2026-08-06T16:58:31.991719Z digest=sha256:8db06e6a4ca8d235025df723597a66acd59297ad83e44d8e816dde458941a8e0

Observation 86aa4620-206a-462a-ae9f-6ca20f412742 · outbound

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

MoViAD: A Modular Library for Visual Anomaly Detection Student-Teacher Feature Pyramid Matching for Anomaly Detection

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:32.099880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:32.099880Z digest=sha256:b50b9673dd65127c3af0d059a6b7d041976d9cffda9dfbd88374ddb64b8d7f2d

Observation 29b4b7b2-705a-43a6-a19a-a7ff5a6fafb8 · outbound

This paper cites Anomaly detection via reverse distillation from one-class embedding,.

MoViAD: A Modular Library for Visual Anomaly Detection Anomaly detection via reverse distillation from one-class embedding,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:36.891064Z

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.

source=pdf_text observed=2026-08-06T16:58:32.205588Z digest=sha256:aa401ff1547ce5721c37061eacffabcf2207867c6855b250a3120bf519d10525

Observation 492a04d7-e20a-440d-b277-72daf9b7a0d0 · outbound

This paper cites Draem-a discriminatively trained reconstruction embedding for surface anomaly detection,.

MoViAD: A Modular Library for Visual Anomaly Detection Draem-a discriminatively trained reconstruction embedding for surface anomaly detection,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:36.659043Z

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.

source=pdf_text observed=2026-08-06T16:58:32.297721Z digest=sha256:aca78cb912b92783ed088b85f8f05291bc64644386f95174cab350eb63e50e68

Observation bdc60b0b-d856-45ae-870b-55b26daa5b4d · outbound

This paper cites Ganomaly: Semi-supervised anomaly detection via adver- sarial training,.

MoViAD: A Modular Library for Visual Anomaly Detection Ganomaly: Semi-supervised anomaly detection via adver- sarial training,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:36.389838Z

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.

source=pdf_text observed=2026-08-06T16:58:32.398229Z digest=sha256:05dc8c38613243491638421b411d4418682458ff94a0ba7b966b3da01d7c0ad3

Observation f07de6ce-1014-41a8-84b5-ca28faa6bb97 · outbound

This paper cites Fastflow: Unsupervised anomaly detection and localization via 2d normalizing flows,.

MoViAD: A Modular Library for Visual Anomaly Detection Fastflow: Unsupervised anomaly detection and localization via 2d normalizing flows,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:32.492429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:32.492429Z digest=sha256:4dc33f8831d2d83c0c65f4ffe17e3e3d5bf48eba87f4c91f5de4e4298a597d9d

Observation 510f0bce-3dc3-4c3c-984d-ef701d27ac00 · outbound

This paper cites Supersimplenet: Unifying unsupervised and supervised learning for fast and reliable surface defect detection,.

MoViAD: A Modular Library for Visual Anomaly Detection Supersimplenet: Unifying unsupervised and supervised learning for fast and reliable surface defect detection,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:36.137095Z

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.

source=pdf_text observed=2026-08-06T16:58:32.587169Z digest=sha256:9e61f5b956216a3255e8dabf423c0c000fb7c74498c0e8135288eec20929629e

Observation 5e98ca23-64fa-4fa4-b301-fd1a0f5c4dee · outbound

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

MoViAD: A Modular Library for Visual Anomaly Detection Cutpaste: Self-supervised learning for anomaly detection and localiza- tion,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:35.881026Z

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.

source=pdf_text observed=2026-08-06T16:58:32.696661Z digest=sha256:8204d0699ad59cb1f97bc631a38320e4b8591565ba9628ffa98fd85c30564520

Observation 6f0d7f84-a071-4ebe-aa31-064fbb82a734 · outbound

This paper cites Continual Learning Approaches for Anomaly Detection.

MoViAD: A Modular Library for Visual Anomaly Detection Continual Learning Approaches for Anomaly Detection

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:32.803911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:32.803911Z digest=sha256:a87a3be20b0eff7c072dfa2612efc1f944c23226f3e47ad6351470e973fcad3d

Observation c15edcd9-07e0-4a02-a174-6c09ea17871b · outbound

This paper cites MobileNetV2: Inverted Residuals and Linear Bottlenecks.

MoViAD: A Modular Library for Visual Anomaly Detection MobileNetV2: Inverted Residuals and Linear Bottlenecks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:32.914441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:32.914441Z digest=sha256:671794f42eac73962404d055bae20360faef5ef8fa2765663bd7f892ffe9f286

Observation ad0e48e5-e790-42b3-8539-9d23ac3cb4f8 · outbound

This paper cites Wide Residual Networks.

MoViAD: A Modular Library for Visual Anomaly Detection Wide Residual Networks

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:33.006151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:33.006151Z digest=sha256:f291a32d652587c8a8a03c369be25e0bb86885105a4a5a1f1a3a00898e106884

Observation 5b7d29d2-765c-47eb-b537-e7ec0c07a84f · outbound

This paper cites Real-world anomaly detection in surveillance videos,.

MoViAD: A Modular Library for Visual Anomaly Detection Real-world anomaly detection in surveillance videos,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:58:35.643007Z

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.

source=pdf_text observed=2026-08-06T16:58:33.125515Z digest=sha256:34e05ebec1b4c123c4def70431cef40ac06524c3250efece4af1213bc17c16f4

Observation 807a1f94-4d06-431d-b65b-fc6410298bc7 · outbound

This paper cites The mvtec 3d-ad dataset for unsupervised 3d anomaly detection and localization,.

MoViAD: A Modular Library for Visual Anomaly Detection The mvtec 3d-ad dataset for unsupervised 3d anomaly detection and localization,

Reference 30

Resolution
verified exact
doi, observed 2026-08-06T16:58:33.658640Z

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.

source=pdf_text observed=2026-08-06T16:58:33.221157Z digest=sha256:a3fbeafe2604b579b0bd8293f0ce064a423ef7dbee0a192f5cf8b388b324115d

Observation d97d6ff6-d7d6-4c43-b014-fbeeb0d278b0 · outbound

This paper cites From Vision to Sound: Advancing Audio Anomaly Detection with Vision-Based Algorithms.

MoViAD: A Modular Library for Visual Anomaly Detection From Vision to Sound: Advancing Audio Anomaly Detection with Vision-Based Algorithms

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:58:33.906024Z

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.

source=pdf_text observed=2026-08-06T16:58:33.342978Z digest=sha256:8f1ed19784496aa5e9743809b8f0d67e9620e61f525010362a9be501ea891785

Observation c8e1f3dc-aacc-49c8-85f4-4b6eb5351a8b · outbound

This paper cites BMAD: Benchmarks for Medical Anomaly Detection.

MoViAD: A Modular Library for Visual Anomaly Detection BMAD: Benchmarks for Medical Anomaly Detection

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:30.480564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:30.480564Z digest=sha256:61f11288bc0c193cac134f7dbce1b6271677f88b6caf0bac3dc36e75f0af431e

Pith citing papers

No inbound Pith citation observations are available.