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Paper Citation Record · LEDGER

LSSF-Net: Lightweight Segmentation with Self-Awareness, Spatial Attention, and Focal Modulation

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.01572.

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

pith.paper-citation-record.v1
2409.01572 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:02:57.646540Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T04:30:55.642226Z

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 30c01273-e1ee-4294-957a-b5bdea49fc41 · inbound

TAFM-Net: A Novel Approach to Skin Lesion Segmentation Using Transformer Attention and Focal Modulation cites this paper.

TAFM-Net: A Novel Approach to Skin Lesion Segmentation Using Transformer Attention and Focal Modulation LSSF-Net: Lightweight Segmentation with Self-Awareness, Spatial Attention, and Focal Modulation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T12:02:57.646540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:02:57.646540Z digest=sha256:b8cd3dd6f946a93b4ff563aafd20a4a7ceac7b4a3108e85d552bed457a68e347

Observation 546a5ef1-52b6-46a5-a423-3755232897d5 · inbound

Edge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey cites this paper.

Edge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey LSSF-Net: Lightweight Segmentation with Self-Awareness, Spatial Attention, and Focal Modulation

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:30:55.644986Z

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=arxiv_source observed=2026-05-11T01:19:51.418374Z digest=sha256:6d7e6353616a84743c97a36867f9b81700cea553c498013eec22321afe7323f7