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Paper Citation Record · LEDGER

Boosting Medical Image Classification with Segmentation Foundation Model

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.11026.

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

pith.paper-citation-record.v1
2406.11026 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 2026-08-11T13:40:44.448471Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T20:05:49.744537Z

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 8c7fef84-e863-4319-a2c9-70e8ba2f3b48 · inbound

SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detection cites this paper.

SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detection Boosting Medical Image Classification with Segmentation Foundation Model

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T13:40:44.448471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:40:44.448471Z digest=sha256:fa20e4b0a041ae8144812e424b7382035e37c6d9c64b1811eff87312b2f41e32

Observation 6fc9d9b7-3852-4e9b-ab3c-faacc9dfcaa0 · inbound

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 cites this paper.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Boosting Medical Image Classification with Segmentation Foundation Model

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-09T20:05:49.750184Z

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=2026-08-09T20:05:49.505991Z digest=sha256:9384c66e2c8eb6e3b9ca1abb4f0ce2c8b70985c108146c9428548a12538476bb