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Paper Citation Record · LEDGER

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection

As of 13 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2412.00560.

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

pith.paper-citation-record.v1
2412.00560 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:22:39.318312Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

39 of 39 outbound references displayed

  • verified exact2
  • verified fuzzy2
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation abbf8788-2068-4d85-ae2e-d6ec9fbe57a7 · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 1

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no resolver link, observed 2026-08-12T05:22:39.131968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:22:39.131968Z digest=sha256:733d5984d58455eeaf8e8f119124b748e19da10ce68f54f4081c548004278007

Observation 7f822a05-5b43-428d-8bc3-62133da77f11 · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation fcc0e3cc-66e0-4098-bfb1-8cbc8b2e45d3 · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 3

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e58aa9d1-dbbd-4238-945f-379f9033d73b · outbound

This paper cites A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:22:39.149508Z digest=sha256:71e024d712f0db759df8a69f68fe9422922ab932b30457bae84f7d13b6e00eeb

Observation 58b2b7e6-8683-431b-8266-d32476f7b849 · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 1285062f-998b-4af9-a85e-8c1556c82efb · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 6

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 47888532-b009-4c04-8c8e-5e584a9adc98 · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 3d6980a2-91f3-4ce4-9075-187e0101808c · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:22:39.171805Z digest=sha256:ce4ef6cba8b6ec55f0f377276d5d598de3aa58f882595acab7826847075e32dc

Observation 10b5a6d9-11de-466e-8ae5-8791cd4116ae · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 9

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 935ec20a-6d13-4ecd-9450-e2f0485f5c3e · outbound

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

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:22:39.181420Z digest=sha256:6f3ad87d957fcaa016b5ac66dacf61378cc055af4d15268340cdc5f6a53bb9f0

Observation d0bb4103-4118-4219-a58e-8d7851ad4904 · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 11

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:22:39.186660Z digest=sha256:67c33a1f19b07f78504dd8ef133727e6384178fdb6a751ab7bac241e9ea2c8d0

Observation 2f758fd5-bdc7-4aa9-850d-da93cb91b4f6 · outbound

This paper cites DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 281ad357-4f88-42a1-acf7-685d66992f2c · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 13

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:22:39.197798Z digest=sha256:bb3173fd1636648233261532a9dd6d8977abb0ed17ae4433b9a3d43732728a92

Observation ea8c7369-1f9e-47b9-b4ba-ac52c8df4767 · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 14

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 3d6b1ea2-1862-4015-aeb4-368c563e0d6a · outbound

This paper cites PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow

Reference 15

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 65c4bf09-a4f2-4006-a120-a169044ddf6e · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 16

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T05:22:39.212040Z digest=sha256:4a7783ee654da7fa315b9bd29a8aabe7f1c09acf23967eb775ab922f1d2f1354

Observation 1db62f83-f85c-49f2-a3b1-dc715687dcc9 · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T05:22:39.216260Z digest=sha256:6bf9904800b6375c9421ab81dae8c575ada87cca38e593a0c048a8d84b9a4a2a

Observation ba3d5015-a279-4df8-91eb-ef732f33f1cd · outbound

This paper cites Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7da0a1ec-0b5f-48c1-97dd-269d8aa5be5d · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ba7692a6-9545-4c51-a10e-3bdff239606a · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation f1d77f94-7e6b-400d-9baa-20b5e3f8daf6 · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ad2a3ec9-417c-4964-8073-48801ca44d06 · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 345907b5-38e4-4144-a8e1-30cde1cba430 · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 280f8245-1372-4b05-922d-3382a571ebb6 · outbound

This paper cites Rohban, and Hamid R.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Rohban, and Hamid R

Reference 24

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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 2026-08-13T06:32:02.005865+00:00.

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Observation 180d4f93-10d1-4d8e-aa62-6fcacfefdaa8 · outbound

This paper cites Duong, Chanh D.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Duong, Chanh D

Reference 25

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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 2026-08-13T06:32:02.005865+00:00.

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Observation f2d51342-32ff-452a-8ed9-21cde738e52d · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a0b95697-3f65-4bbd-9221-1d8cffb9ab4c · outbound

This paper cites Restricted Generative Projection for One-Class Classification and Anomaly Detection.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Restricted Generative Projection for One-Class Classification and Anomaly Detection

Reference 27

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation f7ec1741-86d7-4c93-9b10-33b2340b87ae · outbound

This paper cites GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 42fddb78-fe4b-4c1a-8283-4e0a84e57ea0 · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 29

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 2c228643-c5a1-438e-ad43-3f7cf387bf6f · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 30

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation acaee972-e839-4898-988f-803cf1004f19 · outbound

This paper cites A Unified Model for Multi-class Anomaly Detection.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection A Unified Model for Multi-class Anomaly Detection

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c9069d92-a1ef-4e85-97ab-9a1370441f4c · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 32

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 2c8f1119-a47e-4068-a154-f0bd6d2381a2 · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation c5418cad-d317-4f12-a713-b35e5f74dee6 · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 34

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 56404d13-facc-4790-8131-50ccde887817 · outbound

This paper cites RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection

Reference 35

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:22:39.299225Z digest=sha256:4d57748b2a605aaaf547f10f7a8f88a8da4353d96acec6f99c9fd73d5232f14a

Observation 56a29636-9e3f-418d-9b82-819c9cfbe3a8 · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 36

Resolution
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raw_fallback, observed 2026-08-12T05:22:39.733565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b97774f5-644b-4554-bf74-631c80689664 · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 37

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unresolved
raw_fallback, observed 2026-08-12T05:22:39.717052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T05:22:39.308994Z digest=sha256:3dd67783690fe76f6cb121db982bc6f178b19feba92233839131a9b7312ea2c2

Observation 675bf530-1d6f-477c-a7db-407d92798c0c · outbound

This paper cites an unresolved cited work.

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T05:22:39.313590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:22:39.313590Z digest=sha256:750fb1d53fdb7fdbe7f0933abbcaf6eb4cdc7ef95fc060b477032a4c33dbd08e

Observation 18ced5d4-b37f-4629-91bb-9e9573cd3949 · outbound

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

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-12T05:22:39.318312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:22:39.318312Z digest=sha256:e675c55947afc4bb0b59256a2ec30ff9c96ef04cc0dea4f11040275bc2b658b3

Pith citing papers

No inbound Pith citation observations are available.