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Paper Citation Record · LEDGER

Explainable Deep Few-shot Anomaly Detection with Deviation Networks

As of 10 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T02:12:34.253608Z digest=sha256:20f97e3c4eb7ac7248f8a955f2f0311429974059597d77084c55a7d18309752b

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:dde6c2f791ae8e5fbdda35717687aefc5ad985d39f17eb503c2e701e1010c257

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=sha256:77aca8c5b6d434b1dce51eaed9ec836cf3b1a1456518e778ee53c213675fd595

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=sha256:5d5d9fbf40913177ab23a7bcb0e75738482c4ad87ce8dceb712dca06a79e4022

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T18:51:03.538269Z digest=sha256:43fccdca3fe51ab4ce6358bd1966aa192fd58fe1113e31fc4fcd71bede1da842

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:01:24.605973Z digest=sha256:eb430343fac6c3e05c741660255a9d2757b9e7b36353633b1c22d414ceb5c7cd

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-15T06:31:37.152724Z digest=sha256:e9ac36ebab978f1f18aaaebd9c1333482baaf11283de488762403ce5d94a486a

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T18:45:20.508200Z digest=sha256:02dac5dedc418fac10eb32c28de2c997ed8ea5f70552185f7ffd4ce69b223390

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-21T00:39:31.730684Z digest=sha256:ccf3292e3e191ab246a4962239e716ad7e2f6c5535553c6d7a7aeeec4f2063a2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T00:36:26.957598Z digest=sha256:9fb94a1c605ab41d455e88fa13f0ea5438da132ff5f91942a28c6d73ac99329c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-25T04:52:07.114651Z digest=sha256:6776ec32b0a914132856dde72ef2fb3a7e388484ac0b4cdf58546e3f7893edc3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-03T15:49:13.410168Z digest=sha256:bf3116b1974a9b7a3aabb5ca5a120a8006c261ff9df307339643c6dcd3b4c476

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