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Paper Citation Record · LEDGER

Explainable Deep Few-shot Anomaly Detection with Deviation Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2108.00462.

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

pith.paper-citation-record.v1
2108.00462 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:03:10.848731Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T15:58:37.584268Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation eaa15935-414c-49e0-bbde-f696826dc6a6 · inbound

Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection cites this paper.

Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection Explainable Deep Few-shot Anomaly Detection with Deviation Networks

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T02:15:18.097332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T02:12:34.253608Z digest=sha256:ad48f295855f7f733f9f39bf56a7497e5932edd5d4e161005816d040710ab7be

Observation 0ffbcb13-7d84-4926-a181-dc5b1e39414c · inbound

INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning cites this paper.

INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning Explainable Deep Few-shot Anomaly Detection with Deviation Networks

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T11:03:10.848731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:03:10.848731Z digest=sha256:71889e4a1d629b33fecc054d9da87e1fa616e977ed387ce6e2fef8294be268e8

Observation 26cb72e7-7589-4ac6-9cd1-2d73a86d7515 · inbound

Generate Aligned Anomaly: Region-Guided Few-Shot Anomaly Image-Mask Pair Synthesis for Industrial Inspection cites this paper.

Generate Aligned Anomaly: Region-Guided Few-Shot Anomaly Image-Mask Pair Synthesis for Industrial Inspection Explainable Deep Few-shot Anomaly Detection with Deviation Networks

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T17:57:51.474454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:57:51.474454Z digest=sha256:20a124f286b996f1e231783492ca6ec5ed914ffb6e9c95c3faf0a675049bf795

Observation 5826fdfa-0ab4-453d-813f-04405cebd885 · inbound

A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects cites this paper.

A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects Explainable Deep Few-shot Anomaly Detection with Deviation Networks

Reference 166

Resolution
unresolved
no resolver link, observed 2026-08-06T17:21:50.004396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:21:50.004396Z digest=sha256:4a9eae542d6eac4a2ed66d086e3acf9f934b0d88c28ae9b7438311b711701db0

Observation 752fa97d-ce9a-4bbc-9316-92172dc14236 · inbound

Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection cites this paper.

Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection Explainable Deep Few-shot Anomaly Detection with Deviation Networks

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:10:41.362952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T18:51:03.538269Z digest=sha256:838314f64e93d074a87c5b65ac26e4df0cff7a1ff042aff11646da1eebf4ed10

Observation 0dd33f50-47cc-48d1-95e4-9269e0e7a4e2 · inbound

Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection cites this paper.

Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection Explainable Deep Few-shot Anomaly Detection with Deviation Networks

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:02:58.824369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T21:01:24.605973Z digest=sha256:e86da46184de77bc9c29845d8e5f0b0adc41cf689a2994abbd195906fc4105c6

Observation 5d2246ce-02f0-4114-aebe-86b6e4dbe5f2 · inbound

Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection cites this paper.

Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection Explainable Deep Few-shot Anomaly Detection with Deviation Networks

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:35:09.566441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T06:31:37.152724Z digest=sha256:efedf4c08725fc6f70e8be5fbf4ce6c5ed09a6916c004e11b92dbfeb1a8179c9

Observation 96132cf7-aa43-4137-be62-3300ba19e406 · inbound

Anomaly-Preference Image Generation cites this paper.

Anomaly-Preference Image Generation Explainable Deep Few-shot Anomaly Detection with Deviation Networks

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:15:37.419134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-08T18:45:20.508200Z digest=sha256:da965410615b1482217cdd674be5c2803bda208f43a70fc1e16a7665cb85d338

Observation 65721480-7e80-40bf-ae54-f4381ddc8e50 · inbound

Anomaly-Preference Image Generation cites this paper.

Anomaly-Preference Image Generation Explainable Deep Few-shot Anomaly Detection with Deviation Networks

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:43:53.695247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-21T00:39:31.730684Z digest=sha256:0caaba4e738d72561a3b1360d0f4098db56ef24b6724eb2e73298e8771d9ed8d

Observation cdb926af-689e-4e58-b1fd-c5ce09e870ac · inbound

Anomaly-Preference Image Generation cites this paper.

Anomaly-Preference Image Generation Explainable Deep Few-shot Anomaly Detection with Deviation Networks

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-01T00:45:12.265418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T00:36:26.957598Z digest=sha256:1932db6936a5315cff30dbe8afbb47a4bc44980dfdfbb11f7127fad182c78a19

Observation 22a41aa6-4d6f-4600-af81-2092796a1f4b · inbound

Beyond Normal References: Discriminative Few-Shot Anomaly Detection cites this paper.

Beyond Normal References: Discriminative Few-Shot Anomaly Detection Explainable Deep Few-shot Anomaly Detection with Deviation Networks

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:55:23.680104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-25T04:52:07.114651Z digest=sha256:65038ccd64bc33346d44a5a743bd0b3404525091d6b1ae71e4974bf8834a2ed3

Observation 225dcd1e-f16b-468c-8c37-c858ece49dd1 · inbound

ArcAD: Anomaly-Rectified Calibration for Cold-Start Supervised Anomaly Detection cites this paper.

ArcAD: Anomaly-Rectified Calibration for Cold-Start Supervised Anomaly Detection Explainable Deep Few-shot Anomaly Detection with Deviation Networks

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:58:37.585662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-03T15:49:13.410168Z digest=sha256:229ac570a411f2d54e3cdb1f544691136707ef1570999ed6d122166b95b8ad33

Observation d932707d-5f18-476e-b21d-aaea9ebccff9 · inbound

ArcAD: Anomaly-Rectified Calibration for Cold-Start Supervised Anomaly Detection cites this paper.

ArcAD: Anomaly-Rectified Calibration for Cold-Start Supervised Anomaly Detection Explainable Deep Few-shot Anomaly Detection with Deviation Networks

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-04T04:36:15.476835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:36:15.476835Z digest=sha256:cd95f9906670b09fcbb0155bc3d50457447d2f9b0658d0085389ca249dc2fa24