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Paper Citation Record · LEDGER

Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2403.12570.

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

pith.paper-citation-record.v1
2403.12570 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:18:12.630349Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T16:18:12.920880Z

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 94c7cf13-5d51-4465-ad40-1486c422efc4 · inbound

One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection cites this paper.

One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-09T16:18:12.926645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T16:18:12.630349Z digest=sha256:92bea833255dcf24326417896cbf59a4832d52f5991d3d9028f85b2da6a8fe48