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Paper Citation Record · LEDGER

FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.07068.

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

pith.paper-citation-record.v1
2309.07068 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:07:34.771217Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T03:29:21.627450Z

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 aeff1e8b-6a2f-43fd-9e55-fb401c941f88 · inbound

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP cites this paper.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T22:07:34.771217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:07:34.771217Z digest=sha256:0a1b5b45ae0c48b7247980b647110497e55b64bf252814d970fa56974b0adaaa

Observation f91500d6-af02-4e3a-86e9-dfbfeb69e148 · inbound

Unlocking the Potential of Reverse Distillation for Anomaly Detection cites this paper.

Unlocking the Potential of Reverse Distillation for Anomaly Detection FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T18:48:34.873332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:48:34.873332Z digest=sha256:717c8d43d5ee136edc840e527d65ec8cb33305651de3d3f0c77f3ffcb20b0a2d

Observation 9414506a-84f1-4f67-bb85-da2c79a4a96e · inbound

DACA-Net: A Degradation-Aware Conditional Diffusion Network for Underwater Image Enhancement cites this paper.

DACA-Net: A Degradation-Aware Conditional Diffusion Network for Underwater Image Enhancement FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T11:41:15.129073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:41:15.129073Z digest=sha256:a88306567f1c548808373bf51d9f9a9bc944382b75aba09c80cc754619447ac4

Observation 9b7adf48-8280-4454-bcf6-50220915da5b · inbound

SALAD -- Semantics-Aware Logical Anomaly Detection cites this paper.

SALAD -- Semantics-Aware Logical Anomaly Detection FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T11:56:37.397405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:56:37.397405Z digest=sha256:5cfe70e02f0b8fcfbb2c74ee12e50a47ddb7e2d58f153b822cddcac4af9eddc4

Observation 16dbe899-628f-4fbd-943e-43e08f8e5e3b · inbound

Feature Perturbation Pool-based Fusion Network for Unified Multi-Class Industrial Defect Detection cites this paper.

Feature Perturbation Pool-based Fusion Network for Unified Multi-Class Industrial Defect Detection FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-10T03:29:21.628847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T03:28:11.747826Z digest=sha256:e10c708a4a42bc5910061b125e53d1b7204d11f9e718c54bf20031bb6b9ce0ae