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Paper Citation Record · LEDGER

Spatial-Frequency Dual Progressive Attention Network For Medical Image Segmentation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.07952.

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

pith.paper-citation-record.v1
2406.07952 v2

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:35:41.198544Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T17:08:01.066938Z

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 b7e5ee33-1bc6-41d7-a893-250024926f86 · inbound

FMaMIL: Frequency-Driven Mamba Multi-Instance Learning for Weakly Supervised Lesion Segmentation in Medical Images cites this paper.

FMaMIL: Frequency-Driven Mamba Multi-Instance Learning for Weakly Supervised Lesion Segmentation in Medical Images Spatial-Frequency Dual Progressive Attention Network For Medical Image Segmentation

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-07T05:35:41.198544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:35:41.198544Z digest=sha256:5127a2115dc91e93597dae8ec6e9defd712fa70d4c0903869f8dd9a3c675b560

Observation c6045be9-26e0-42a4-a015-e0984c16ffbf · inbound

SARES-DEIM: Sparse Mixture-of-Experts Meets DETR for Robust SAR Ship Detection cites this paper.

SARES-DEIM: Sparse Mixture-of-Experts Meets DETR for Robust SAR Ship Detection Spatial-Frequency Dual Progressive Attention Network For Medical Image Segmentation

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:08:01.068597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T17:03:04.479692Z digest=sha256:67a27d91a53cd0036277ef0c50117fe83f6679a3c94a7c05284dcce9b0212922