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Paper Citation Record · LEDGER

Searching for MobileNetV3

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 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 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:34:26.650469Z

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

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  • malformed identifier0
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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 73301ef8-ec96-4b58-b85c-19999e4f4a49 · inbound

Attentive Normalization cites this paper.

Attentive Normalization Searching for MobileNetV3

Reference 12

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no resolver link, observed 2026-08-14T15:24:16.487500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:24:16.487500Z digest=sha256:1793bea112b52b4ead42edda977bad006c2f47000a2cc5532473677420c700f7

Observation dccaf974-b7d0-4528-821f-8b79ee72f334 · inbound

MoGA: Searching Beyond MobileNetV3 cites this paper.

MoGA: Searching Beyond MobileNetV3 Searching for MobileNetV3

Reference 14

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no resolver link, observed 2026-08-14T15:20:48.342632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T15:20:48.342632Z digest=sha256:bbfbd961f64794e1eaca16472c7b5aa6cb7781ef0153cd1e21a5283f004efd56

Observation 0babaddc-428d-4d6e-bbb9-31e9872d4dcc · inbound

SqueezeNAS: Fast neural architecture search for faster semantic segmentation cites this paper.

SqueezeNAS: Fast neural architecture search for faster semantic segmentation Searching for MobileNetV3

Reference 36

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no resolver link, observed 2026-08-14T15:09:18.157346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:09:18.157346Z digest=sha256:ac1da13efd5ceb90610a85f7697dbbe52fb5fa83881308d7a908d53699da8ace

Observation 611672a4-baa9-43a5-b5dc-2a6af153f9c1 · inbound

Efficient Deep Neural Networks cites this paper.

Efficient Deep Neural Networks Searching for MobileNetV3

Reference 59

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no resolver link, observed 2026-08-14T12:19:53.521579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:19:53.521579Z digest=sha256:73de1e39740c475735eb98c77f349780c2bf16ffd74e4d79cbac34bbe7511dd3

Observation acd7a821-b93e-49e2-ba59-22eae6049d65 · inbound

SeesawFaceNets: sparse and robust face verification model for mobile platform cites this paper.

SeesawFaceNets: sparse and robust face verification model for mobile platform Searching for MobileNetV3

Reference 6

Resolution
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no resolver link, observed 2026-08-14T11:25:00.969061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:25:00.969061Z digest=sha256:69fc27ed0734bd82debfa58672e667d9c6ccd63c1812625880fc030cbf0e9928

Observation d2b6b1d6-6883-4232-ac4a-eaa08b932dd5 · inbound

Finite size corrections for neural network Gaussian processes cites this paper.

Finite size corrections for neural network Gaussian processes Searching for MobileNetV3

Reference 2015

Resolution
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no resolver link, observed 2026-08-14T11:02:29.347682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:02:29.347682Z digest=sha256:e71a34e0892e743379c0318e780e4d2652a47360c0534e2b327b08de2539c337

Observation cf5c742e-d1f2-4ad5-bf44-4c93cb03ceb8 · inbound

PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers cites this paper.

PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers Searching for MobileNetV3

Reference 35

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unresolved
no resolver link, observed 2026-08-12T10:34:38.318218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:34:38.318218Z digest=sha256:be3fc33f68446ecda5f7c85dc695ffd526da1957ebff63d183bc0a6899afa90e

Observation 4e5a6bed-2a60-4703-aa6c-859d8250208f · inbound

HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition cites this paper.

HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition Searching for MobileNetV3

Reference 20

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no resolver link, observed 2026-08-12T04:21:08.743999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:21:08.743999Z digest=sha256:f44b0d3d8f15cfb6f048d1dc594339653486d6c0156f61a14b67cc91d9f1547b

Observation 765e4bc3-3d69-4d81-85f0-10899a380e97 · inbound

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing cites this paper.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Searching for MobileNetV3

Reference 73

Resolution
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no resolver link, observed 2026-08-11T15:00:06.904611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:00:06.904611Z digest=sha256:cf113cd193731493ecc15c73c25bee236854a3c1ede2364373b925cef59b4aae

Observation 5b3c837e-cff6-4f99-9e2d-2d0f35132eaa · inbound

HEM: a margin-based loss for visual categorisation tasks cites this paper.

HEM: a margin-based loss for visual categorisation tasks Searching for MobileNetV3

Reference 37

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no resolver link, observed 2026-08-10T17:30:21.363068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:30:21.363068Z digest=sha256:03051ca8b1c3413145fca4a1cedead58b29578cfc3885fb3cb65f433c5d5f649

Observation 2b7a98e4-f64e-401d-b6eb-70265a5e9452 · inbound

Bridging the Sim2Real Gap: Vision Encoder Pre-Training for Visuomotor Policy Transfer cites this paper.

Bridging the Sim2Real Gap: Vision Encoder Pre-Training for Visuomotor Policy Transfer Searching for MobileNetV3

Reference 19

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unresolved
no resolver link, observed 2026-08-10T14:25:11.939684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:25:11.939684Z digest=sha256:11af53b16cc73b572da2085ca696e01851913423ca3a65ea046b30a50e7c5d6c

Observation 67b909b2-b403-4775-bafd-5be0979d2968 · inbound

Partial Channel Network: Compute Fewer, Perform Better cites this paper.

Partial Channel Network: Compute Fewer, Perform Better Searching for MobileNetV3

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T15:49:53.465874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:49:53.465874Z digest=sha256:ef9bdcd0df47c3f23fdae75358a0a51d4a2d80bac5126803a87ea2bcd9ff275e

Observation f24dbd40-6696-4d10-9e6d-2364b4492660 · inbound

ForgeBench: A Machine Learning Benchmark Suite and Auto-Generation Framework for Next-Generation HLS Tools cites this paper.

ForgeBench: A Machine Learning Benchmark Suite and Auto-Generation Framework for Next-Generation HLS Tools Searching for MobileNetV3

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-16T11:34:26.650469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:34:26.650469Z digest=sha256:f0f03701b2ea7ff3735cb7926fb231ddefb6f0ea61ec149ae0e652b01163aa30

Observation a3b91a24-7c80-4333-80a8-f0c779975e3e · inbound

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning cites this paper.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Searching for MobileNetV3

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:31.147926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:31.147926Z digest=sha256:8b47aa8dad0c16deb37713d4724cb8f1b59f09476397b9316597680f3532f585

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:a56c3e0719ca4403ae9db93edec3f737f8e23711df67fe29a3822545068b570b

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

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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:eafb0086f67db289d3899d2d940e5de1b2996ae518e9fc09dd0fe2af7793a3a3

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=sha256:12f5ba88fec86b10e707653055e43f7921849fc57092d4b4941a55bafb4b502e

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

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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=sha256:244010f5e7e81904a67605881fe967cb212f875cf5d68948b81b9554db5f0378

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-10T06:20:18.479234Z digest=sha256:7f9913bee44887d37d3bcc563a499e18be957a8a585125829675a9f572baac7e

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-08T19:11:30.638672Z digest=sha256:06b3cb11b6d381e5f84ece600492670ffbc80fafa862ddf66c9faa0f6ba959ab

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-21T08:21:16.460521Z digest=sha256:b10e1a70fef81d51662d34615b9991f5248c67e372d8a9a74d392d8ab152da10

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

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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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-28T15:36:55.675366Z digest=sha256:3a788c25f0c33f06b5cf4baceffdf32b45ed1d2a24ecc27a93bf008a0d4a2957

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

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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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-28T07:05:18.026601Z digest=sha256:3557212694af5913bab532121677ec9c29c12a492895de744604b49f53809f7b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T01:34:38.392583Z digest=sha256:84317fd8ece259a985539a714849cfee5ae412d3dd5ff26aeb255c1cfd133ce3