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Paper Citation Record · LEDGER

Fast multi-scale edge-detection in medical ultrasound signals

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1107.5186.

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

pith.paper-citation-record.v1
1107.5186 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 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:54:01.492301Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T18:16:14.067578Z

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 80082349-5311-4e65-844c-59e1420e4a5a · inbound

FaRMamba: Frequency-based learning and Reconstruction aided Mamba for Medical Segmentation cites this paper.

FaRMamba: Frequency-based learning and Reconstruction aided Mamba for Medical Segmentation Fast multi-scale edge-detection in medical ultrasound signals

Reference 28

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T17:54:01.804336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:54:01.492301Z digest=sha256:d6fdd319474b35f7baf2e730c151ba918557152c8ddc722f4e746b733bca2744