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Paper Citation Record · LEDGER

MixConv: Mixed Depthwise Convolutional Kernels

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:28:21.978996Z

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 baa80cf0-6713-4e23-b5de-a1cbce244ec7 · inbound

Efficient Nonlinear Function Approximation in Analog Resistive Crossbars for Recurrent Neural Networks cites this paper.

Efficient Nonlinear Function Approximation in Analog Resistive Crossbars for Recurrent Neural Networks MixConv: Mixed Depthwise Convolutional Kernels

Reference 77

Resolution
malformed identifier
no resolver link, observed 2026-08-12T11:28:21.978996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:28:21.978996Z digest=sha256:d21d11353d6d7a1a262205d5ca05cddc539cc4371950a62596cc5b96f5d0b86d

Observation 8d4721a6-2063-4ac3-913e-d8766d1ec2de · inbound

AdaScale: Dynamic Context-aware DNN Scaling via Automated Adaptation Loop on Mobile Devices cites this paper.

AdaScale: Dynamic Context-aware DNN Scaling via Automated Adaptation Loop on Mobile Devices MixConv: Mixed Depthwise Convolutional Kernels

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T05:09:32.482533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:09:32.482533Z digest=sha256:cf71edd169959785c956adf03b7bac77e53bead533c5e6f2a861618728898585

Observation 29d2549e-32af-4f8d-9d7b-d944eb7a4cb1 · inbound

CompactFlowNet: Efficient Real-time Optical Flow Estimation on Mobile Devices cites this paper.

CompactFlowNet: Efficient Real-time Optical Flow Estimation on Mobile Devices MixConv: Mixed Depthwise Convolutional Kernels

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T13:22:31.148678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:22:31.148678Z digest=sha256:4338a774dade6a6894a76a538e1f1eead5208bfd01fb2204adffff39d16a0da4

Observation 2331e06a-b8a2-48ee-803a-39c186f82a01 · inbound

Pinwheel-shaped Convolution and Scale-based Dynamic Loss for Infrared Small Target Detection cites this paper.

Pinwheel-shaped Convolution and Scale-based Dynamic Loss for Infrared Small Target Detection MixConv: Mixed Depthwise Convolutional Kernels

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T06:01:30.831638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:01:30.831638Z digest=sha256:c6383695073830a0f0ec097deffbe68419cb8d8d1caf948452b7f3bd046e7b35

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:df89733210d8c9056af31b06f4d086ed6f65c653563b50e7c07221e088d127fa

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-08T17:04:11.919333Z digest=sha256:a445c772c17d76b33ab2ac3c3ec61a284f8e2eb08c90d2d48a9a75c16fc15ae2