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Paper Citation Record · LEDGER

Searching for MobileNetV3

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1905.02244.

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

pith.paper-citation-record.v1
1905.02244 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:32:57.625491Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 3de8894d-8543-4642-882d-69b231e0e88d · inbound

Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach cites this paper.

Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach Searching for MobileNetV3

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T00:32:57.625491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:32:57.625491Z digest=sha256:b69daacfb988eeb8c02235e554e377ae9d068c356056b4e6fb99c965d319c8af

Observation 220cab35-4ea2-4dbe-8b98-5ad572a68761 · inbound

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception cites this paper.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception Searching for MobileNetV3

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T19:03:12.515597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:03:12.515597Z digest=sha256:93771e6104ac98efc4ebf0e2056852adfa069dcdeeba16ca57653802fd9f335f

Observation e3ad1e7e-f10e-470d-b364-45e5f002f158 · inbound

Latent Sensor Fusion: Multimedia Learning of Physiological Signals for Resource-Constrained Devices cites this paper.

Latent Sensor Fusion: Multimedia Learning of Physiological Signals for Resource-Constrained Devices Searching for MobileNetV3

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T17:58:37.032239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:58:37.032239Z digest=sha256:5b72ac4ea37901a80500bb6a29927dbd9b4ab2d3fda38f6db9ddf11335b199a6

Observation 6e01ed75-1705-477f-8b6b-a0a776a1311f · inbound

MSQ: Memory-Efficient Bit Sparsification Quantization cites this paper.

MSQ: Memory-Efficient Bit Sparsification Quantization Searching for MobileNetV3

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T11:56:59.792872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:56:59.792872Z digest=sha256:60f4fa85f4fe74e0c94f37531de9a2812efdbbb9fd57fab8d82ea4f3013f9eba

Observation 9a8bd941-eaf8-45d3-b38f-36e37f4ac004 · inbound

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading cites this paper.

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Searching for MobileNetV3

Reference 125

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:21:26.211383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:428ab9c5078b36c55a0c673055406f8a85afbf9b4addf733bc60339cc9f41ca1

Observation e43211c7-78c2-4a8b-91fe-4f65811c4185 · inbound

Mixed-Precision Information Bottlenecks for On-Device Trait-State Disentanglement in Bipolar Agitation Detection cites this paper.

Mixed-Precision Information Bottlenecks for On-Device Trait-State Disentanglement in Bipolar Agitation Detection Searching for MobileNetV3

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:00:36.670372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T19:11:30.638672Z digest=sha256:f987c682c1fafea4df353d400ed79924cebc2ae7bd1814a1daa0a9c3cb5c9e67

Observation bd874c2b-cc73-4be1-aafd-6a3364a6a6df · inbound

Physics-informed convolutional neural networks for fluid flow through porous media cites this paper.

Physics-informed convolutional neural networks for fluid flow through porous media Searching for MobileNetV3

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:24:03.508603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-21T08:21:16.460521Z digest=sha256:28f68080dea6ed673479d6777656524af5828a996080c1f1025c6e8817faacf1

Observation 065a2c9a-2582-4544-b330-8f1024a7b895 · inbound

Attention mechanisms and transfer learning for robust peach leaf damage classification under domain shift cites this paper.

Attention mechanisms and transfer learning for robust peach leaf damage classification under domain shift Searching for MobileNetV3

Reference 110

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:16:16.137459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T15:36:55.675366Z digest=sha256:7e64eaf2ec2347c8585029d102d9bf0f751a43f4d57b6cf00961f626c0415220

Observation 4510ddba-5bd2-4294-b188-0122fc622853 · inbound

Toward Calibrated, Fair, and accurate Deepfake Detection cites this paper.

Toward Calibrated, Fair, and accurate Deepfake Detection Searching for MobileNetV3

Reference 83

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T07:11:45.114433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T07:05:18.026601Z digest=sha256:f7b1baa296a13e6c9882f97920d68bbe3f07633f319d948ad7f8696a6b503c07

Observation a9b76049-849c-4f87-9b38-c8668b264055 · inbound

Distribution-based deep multiple instance learning for tumor proportion scoring in NSCLC cites this paper.

Distribution-based deep multiple instance learning for tumor proportion scoring in NSCLC Searching for MobileNetV3

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-29T01:42:58.931504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T01:34:38.392583Z digest=sha256:b5fd8508e686df13393ff5986c2ed2f4ecad0209ebd0978494b01385f9da0653