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Paper Citation Record · LEDGER

Robust Distribution Alignment for Industrial Anomaly Detection under Distribution Shift

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.14910.

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

pith.paper-citation-record.v1
2503.14910 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T10:05:09.329599Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T12:54:40.313570Z

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 3d512d35-9233-4336-a7c9-92a51569bb01 · inbound

LogiCo: A Unified Framework for Logical and Structural Anomaly Detection cites this paper.

LogiCo: A Unified Framework for Logical and Structural Anomaly Detection Robust Distribution Alignment for Industrial Anomaly Detection under Distribution Shift

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:54:40.314927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:05:09.329599Z digest=sha256:9425b3143deb88c0e8a83c592f4e28f7d43e08640cf9dd39865170b0d4c19376

Observation 6a5bcfcd-b7f9-48ef-8685-8fa34a309657 · inbound

UniVAD v2: Unified Visual Anomaly Detection via Support-Conditioned Boundary Construction cites this paper.

UniVAD v2: Unified Visual Anomaly Detection via Support-Conditioned Boundary Construction Robust Distribution Alignment for Industrial Anomaly Detection under Distribution Shift

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T06:54:20.108133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T06:53:59.441734Z digest=sha256:7842223a266dfbf5222a90d54e24744c4d41b1476cb95405fe7a0af458ec7e6c