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Paper Citation Record · LEDGER

MoViAD: A Modular Library for Visual Anomaly Detection

As of 7 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 2026-08-07T06:34:17.273281+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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:58:30.312081Z digest=sha256:b9912671f44e15090750b5280740a1956b7d23685cef6323e37f5878e6e593b4

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:58:30.397684Z digest=sha256:0acb6d725eb29b04f53a7ef33f479c8fb33e1b4b05359f8b56fab1772ac2c40b

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:30.587110Z digest=sha256:dd1c73ac2a82dd7a6f2515f00ce9d8a446f0f56801161a083f26b52bc2914acf

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:58:30.663211Z digest=sha256:4b5aa9294be4e887ef36f8c089a1f2810bca5489b84fd3a3be759b0f198d682a

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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:58:30.768462Z digest=sha256:357a22cb0fad7942799ac7460bb9cc7efd5510791fca4f3412e4b82816075be5

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:58:30.849589Z digest=sha256:d5ea78d6f3e389d32db710f38fb569aede4c4d300b0a53ea6bd0a4950c7d0273

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:30.935478Z digest=sha256:12e0959d2131e12e2dbe321b08f6fbc3d8023050f392a52ab32a6e75e86af2c1

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:58:31.029666Z digest=sha256:666e3f1777f8d5504bc58bb167bf4e703462ca8d3cce757d308d7262723f33d2

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:58:31.111003Z digest=sha256:ec064249068e4adbf920b4fc23f58751a354117c3440afaff6a26545593d9c4b

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:58:31.211623Z digest=sha256:560a1be29f8a8f767c7205895150de8d98163906b453c222873ed33f7f11eed0

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:58:31.313523Z digest=sha256:b3e80871ad2d8cfd60e5e56d1f3f8bcf3e6121c8cdd2bd90291afb6b0e8af3ac

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:31.400770Z digest=sha256:a7252bc4c67185551450bb885d71ebf4f1beda2642078921c2f143ea93c30ebd

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:58:31.510134Z digest=sha256:288ef8085c741799d1b102980b45a84ca5fe5357efe3f30ee029146c56389283

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:58:31.601883Z digest=sha256:cd3d703c8af93e40ad3fe5ac3a6ad5880aba1c5c2ad7f7c5b2ab96e3653590d5

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:31.685797Z digest=sha256:78a0f06426d365ed7ac5bea1d3664b077e5e5feb06dd440c652efbf6bb4206f1

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:31.799061Z digest=sha256:92fdccd2bf19fb7d9cbeb2ef030e43d802ab90700b2d1eddc3d2ad141461ad21

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:58:31.916889Z digest=sha256:8e721b7c6fcc44df430cde8e6dcd8c97cdb8d71c4166cb2bd9aaea54cd82563d

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:58:31.991719Z digest=sha256:875326a56a77026819c41caea46812295480860afc0460d8a6ec9c77e3349dd0

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:32.099880Z digest=sha256:f49db239a3be7df562103027b8a39ca660478d8fcabc3ae25b189b45802ec08c

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:58:32.205588Z digest=sha256:1e9fa1c45345ce74c45c5c086588e2a6f95015320594704fb66624c78a58c383

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:58:32.297721Z digest=sha256:d546fba23a30963eac5e08c77222e15ea7412b79450caee1c377fed0b0283820

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:58:32.398229Z digest=sha256:c48a001c446b484a44b1e18388794ed6940dc4024099af1e018c788d982acc4d

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:32.492429Z digest=sha256:ef2a7ae6284e83e891dc83c4390e442bf60a07739d1860dcfb30a60da5ea5b77

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:58:32.587169Z digest=sha256:7d40c5310bcb8d8edf43943581c1e661aca736d599f772a64513b1291f550142

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:58:32.696661Z digest=sha256:67d465e606e4f7a6fad3e0f0f1ec859ad55ad7fe1a461cfb62b7979ebb6dbb6f

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:32.803911Z digest=sha256:4425814493b4add7e7c300b22e8015925bf3bdc07cc05f6d65f5010344cfce6c

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

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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:fff98583b1e0e1e7bbf2f280de5331440f4baa8b29a24d996e531833c047e30f

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:33.006151Z digest=sha256:fa5f4ebf172d7c7e261609e470472a60d0a0b0b5cbec993cc239dd6386b14bbb

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:58:33.125515Z digest=sha256:41f538bda66210e426d52b32b9fa709cfd8f9d5e73abfea572fe0cbf5ece97c2

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:58:33.221157Z digest=sha256:06dcc2a017f21c2db547781edbcd3223f7b3eccb4a88cbc17817bfe2b70b299f

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:58:33.342978Z digest=sha256:5d10507fe96c75f16521dcd98de0ced5287f1b5c695c4d2403051ec6450b14fb

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:30.480564Z digest=sha256:861d1b3ebfd165f99fa84d6d9541921a272b1e0e68d620a086d818127357ad66

Pith citing papers

No inbound Pith citation observations are available.