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Paper Citation Record · LEDGER

Efficient Modulation for Vision Networks

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.19963.

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

pith.paper-citation-record.v1
2403.19963 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:24:25.780813Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:05:43.001458Z

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 c105fbd1-e9ae-44d3-8a93-3daa6ace204e · inbound

SCASeg: Strip Cross-Attention for Efficient Semantic Segmentation cites this paper.

SCASeg: Strip Cross-Attention for Efficient Semantic Segmentation Efficient Modulation for Vision Networks

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:05:43.003487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-23T17:04:09.195154Z digest=sha256:b6c1d76e8131243d9f5d44ec74887dae93eaf40c3a2042a121604dc6e0d37dbe

Observation 6d2e531d-9dec-42c3-bb3b-85c903ab4906 · inbound

iFormer: Integrating ConvNet and Transformer for Mobile Application cites this paper.

iFormer: Integrating ConvNet and Transformer for Mobile Application Efficient Modulation for Vision Networks

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-10T14:24:25.780813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:24:25.780813Z digest=sha256:b28c599c3c18e0918ca5c252b06d2cf54c40a72b249e7d3327c7bb5294109e5a