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Paper Citation Record · LEDGER

MixConv: Mixed Depthwise Convolutional Kernels

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1907.09595.

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

pith.paper-citation-record.v1
1907.09595 v3

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:25:15.883710Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:51:07.931336Z

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 3a531c97-b223-4cd4-9cdf-e2d681bb1c73 · inbound

ACM-UNet: Adaptive Integration of CNNs and Mamba for Efficient Medical Image Segmentation cites this paper.

ACM-UNet: Adaptive Integration of CNNs and Mamba for Efficient Medical Image Segmentation MixConv: Mixed Depthwise Convolutional Kernels

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T12:25:15.883710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:25:15.883710Z digest=sha256:97f49622937ed86f826c2eb7eb14c6e7cb23a5a2d192e88287013f8712eb17b6

Observation f3818277-f591-4e9c-a7ac-ebbabe328e96 · inbound

Lightweight Cross-Spectral Face Recognition via Contrastive Alignment and Distillation cites this paper.

Lightweight Cross-Spectral Face Recognition via Contrastive Alignment and Distillation MixConv: Mixed Depthwise Convolutional Kernels

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:51:07.933590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T17:04:11.919333Z digest=sha256:657858d7a559637109913201b64bfd92a18343bfd0112e6b9918d8bae47bcf27