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Paper Citation Record · LEDGER

SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.00625.

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

pith.paper-citation-record.v1
2406.00625 v4

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:46:51.671208Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:32:53.640756Z

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 dd59012f-560d-4880-8b3a-d55a269f2478 · inbound

CleanPose: Category-Level Object Pose Estimation via Causal Learning and Knowledge Distillation cites this paper.

CleanPose: Category-Level Object Pose Estimation via Causal Learning and Knowledge Distillation SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-09T15:46:51.671208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:46:51.671208Z digest=sha256:ea211f42017a3b680347ddba81e4ecbf29d4de0c2ed726a771d453a00e22d48c

Observation f8cdc5d6-13a9-433e-8562-755b99e46141 · inbound

Foundation Models and Transformers for Anomaly Detection: A Survey cites this paper.

Foundation Models and Transformers for Anomaly Detection: A Survey SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection

Reference 2019

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:32:53.643810Z

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=2026-08-06T15:32:52.920072Z digest=sha256:73e201e27c554ec21b88c1ecc65f9c2b868b1b63add026b2de013ea45bb9c487