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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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T16:58:30.312081Z digest=sha256:06ac1e5801512791536d9d999e2d15d92584c1142f063fed53b037fc148d9d39

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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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=2026-08-06T16:58:30.397684Z digest=sha256:8e3ad752dee1f41485a21e20466d870cf1cc0e65322ccecb7e330bcd4895cbb9

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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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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T16:58:30.663211Z digest=sha256:416e199dcc12bf386bb5ce1f410291cb68309d785302246331e741bffe2316d2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T16:58:30.768462Z digest=sha256:c9079397b024ae50bdce646aa1d9bee10172e025c202af639f639e037c8b499e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T16:58:30.849589Z digest=sha256:9994e380a961ccfec2ec164fc2761edb714243a1884f825725d2874bbbf3c19d

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=sha256:4b1775b97cddef09fbd25e4aa258786aad4aa370feb35e5db1d54297ac5d9b00

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

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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=2026-08-06T16:58:31.029666Z digest=sha256:bb75c8e51021d009e05a3a19d2ecbde76bd49f7368cb7a3dc1366f260f21f8db

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T16:58:31.111003Z digest=sha256:590b37bb9182752639755fe6d8ec7ca4e2ec93879843b28d9387aa7e41105319

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

source=pdf_text observed=2026-08-06T16:58:31.211623Z digest=sha256:fba1d7a963b03fc1f670e23e3155b9c74c1ebdd43e6e7cf965c01e58e469cfbd

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T16:58:31.313523Z digest=sha256:7bbcfba31d61aaaba158ba1e5665ed36e44157400f1547c0815772f1b3e080f6

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:e061362a2f460e25fff7ef61e7e43ca8f1e981323645d95c19be4df63ce03509

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T16:58:31.510134Z digest=sha256:24543cfc7ab7b03a815039a2d05403715f6c9ec6ea95a134eaf365a9163f59f0

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T16:58:31.601883Z digest=sha256:2e1989c4e25f97e12b5b04c8a326d32d2ffb4adeb2ced45216aeee8ca019b39d

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: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

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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=sha256:47fd9e4ec38573bb0cbe248b567da8b218fafd587956ab4e1967702f1922c8b3

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

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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=2026-08-06T16:58:31.916889Z digest=sha256:c616cf70d1719f79160d41e80378e287a405425720f51802b7b2fe6047439e0b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T16:58:31.991719Z digest=sha256:83d420042460effcfafde66835d283320497c7b165487a16252f15886a693893

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: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

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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=2026-08-06T16:58:32.205588Z digest=sha256:7dae8f170929ddb3f58984340d8f0822001446c2b2f180e67ba753e93458ac44

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T16:58:32.297721Z digest=sha256:bed782edda2b963e30c70cb2bb99632144ae002a4d5931221ce4e44c135ec067

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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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=2026-08-06T16:58:32.398229Z digest=sha256:bcff38fc8c7e88310e81acff2920577e41dfcb273ea5b93f458b97bf4826c7fc

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=sha256:4dc33f8831d2d83c0c65f4ffe17e3e3d5bf48eba87f4c91f5de4e4298a597d9d

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

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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=2026-08-06T16:58:32.587169Z digest=sha256:23c7b9a5c6e04764c8fb9692e8f40b5b02e76ba8a98e5a28aa4d0b900db9c3b4

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T16:58:32.696661Z digest=sha256:f487886f80c423fbabc5cffcf0292e1a83f57d158e892158181ab71029f57a8e

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: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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:32.914441Z 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

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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: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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T16:58:33.125515Z digest=sha256:5b67484277fa0fe18347ed6bd02c89c7f1480f2119237185207278a55417fc80

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T16:58:33.221157Z digest=sha256:466034260f9a105830e7de4d0fe15fab55ae059196d51acb76e209cba85a4e80

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T16:58:33.342978Z digest=sha256:2fee8b3d4c324aaa66b1e7ae612c6f81f583e7aaac5145ad4cc01214e245d859

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=sha256:61f11288bc0c193cac134f7dbce1b6271677f88b6caf0bac3dc36e75f0af431e

Pith citing papers

No inbound Pith citation observations are available.