Paper Citation Record · LEDGER

MobileNetV4 -- Universal Models for the Mobile Ecosystem

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2404.10518.

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

pith.paper-citation-record.v1
2404.10518 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:07:42.111325Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:39:17.116390Z

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 3b109251-349d-428e-86c6-5cda8c56a523 · inbound

OCDet: Object Center Detection via Bounding Box-Aware Heatmap Prediction on Edge Devices with NPUs cites this paper.

OCDet: Object Center Detection via Bounding Box-Aware Heatmap Prediction on Edge Devices with NPUs MobileNetV4 -- Universal Models for the Mobile Ecosystem

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T14:07:42.111325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32c283f3-dfdd-453e-b314-bce36d3b0f98 · inbound

Efficient Track Anything cites this paper.

Efficient Track Anything MobileNetV4 -- Universal Models for the Mobile Ecosystem

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-12T10:47:49.905803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fb58ed0-7f95-4fb1-af0a-cd1c801b0c5e · inbound

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance cites this paper.

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance MobileNetV4 -- Universal Models for the Mobile Ecosystem

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:00.269384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e6f82c6-2a2c-41ae-ad0e-3b70f686dfae · inbound

EMOv2: Pushing 5M Vision Model Frontier cites this paper.

EMOv2: Pushing 5M Vision Model Frontier MobileNetV4 -- Universal Models for the Mobile Ecosystem

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T19:33:08.873961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5705ac45-9ba2-42ba-a894-6c4383026398 · inbound

SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training cites this paper.

SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training MobileNetV4 -- Universal Models for the Mobile Ecosystem

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T16:56:01.745748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 728d67c2-2885-4e2a-85e1-4fdec7d5e7d6 · inbound

PatchRefiner V2: Fast and Lightweight Real-Domain High-Resolution Metric Depth Estimation cites this paper.

PatchRefiner V2: Fast and Lightweight Real-Domain High-Resolution Metric Depth Estimation MobileNetV4 -- Universal Models for the Mobile Ecosystem

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:32.569140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f06eaa5-dab3-4594-b0eb-7045037725cd · inbound

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

iFormer: Integrating ConvNet and Transformer for Mobile Application MobileNetV4 -- Universal Models for the Mobile Ecosystem

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T14:24:25.799146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f0c1b8b-692e-4e01-9945-6c122a51765d · inbound

MoNetV2: Enhanced Motion Network for Freehand 3D Ultrasound Reconstruction cites this paper.

MoNetV2: Enhanced Motion Network for Freehand 3D Ultrasound Reconstruction MobileNetV4 -- Universal Models for the Mobile Ecosystem

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T00:44:40.004736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abf7ecc7-a72c-4c14-a133-eebf81175101 · inbound

Toroidal area-preserving parameterizations of genus-one closed surfaces cites this paper.

Toroidal area-preserving parameterizations of genus-one closed surfaces MobileNetV4 -- Universal Models for the Mobile Ecosystem

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T23:36:22.549563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76bb2333-9b9f-4f27-97c4-4b6a0fbe4ff4 · inbound

STA-Net: A Decoupled Shape and Texture Attention Network for Lightweight Plant Disease Classification cites this paper.

STA-Net: A Decoupled Shape and Texture Attention Network for Lightweight Plant Disease Classification MobileNetV4 -- Universal Models for the Mobile Ecosystem

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T10:45:34.506261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccb93ba1-293c-4057-a7e4-5116333451a1 · inbound

FDIO: Frequency Decomposed Inertial Odometry cites this paper.

FDIO: Frequency Decomposed Inertial Odometry MobileNetV4 -- Universal Models for the Mobile Ecosystem

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T21:23:14.030840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f57c74fe-0742-47b7-a9a9-1b0bebfec44f · inbound

VPD-100K: Towards Generalizable and Fine-grained Visual Privacy Protection cites this paper.

VPD-100K: Towards Generalizable and Fine-grained Visual Privacy Protection MobileNetV4 -- Universal Models for the Mobile Ecosystem

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:06:36.127918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b3d601c2-887e-4f92-bff7-54ae38343824 · inbound

LiteFrame: Efficient Vision Encoders Unlock Frame Scaling in Video LLMs cites this paper.

LiteFrame: Efficient Vision Encoders Unlock Frame Scaling in Video LLMs MobileNetV4 -- Universal Models for the Mobile Ecosystem

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:58:24.734519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0721551b-182f-4b7c-a73c-48d67a25af1e · inbound

LiteFrame: Efficient Vision Encoders Unlock Frame Scaling in Video LLMs cites this paper.

LiteFrame: Efficient Vision Encoders Unlock Frame Scaling in Video LLMs MobileNetV4 -- Universal Models for the Mobile Ecosystem

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:55:47.305738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e98271be-1f70-4c0f-9776-07daeee15993 · inbound

Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance cites this paper.

Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance MobileNetV4 -- Universal Models for the Mobile Ecosystem

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:39:17.118222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.