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Paper Citation Record · LEDGER

PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.02595.

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

pith.paper-citation-record.v1
2303.02595 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:44:17.122833Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T05:22:39.636207Z

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 2ea75fee-aeb9-414d-aba1-fa562be56716 · inbound

Evaluating Vision Transformer Models for Visual Quality Control in Industrial Manufacturing cites this paper.

Evaluating Vision Transformer Models for Visual Quality Control in Industrial Manufacturing PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T14:44:17.122833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:44:17.122833Z digest=sha256:dd2f3633dee555f330112b271aff46c2a7740b028c4d095fdd9902a469aa8016

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

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection cites this paper.

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

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-12T05:22:39.641373Z

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=2026-08-12T05:22:39.207432Z digest=sha256:0483d68d0881bf0ce03354e0e50121884afd1f071f583b8308fda0d8fb87173b