Paper Citation Record · LEDGER

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning

As of 10 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.11473.

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

pith.paper-citation-record.v1
2607.11473 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T05:22:08.069048Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

verified exact0
verified fuzzy0
unresolved24
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a23f8e62-705f-4b44-9c35-5997505a65e0 · outbound

This paper cites Deep residual learning for image recognition,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning Deep residual learning for image recognition,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b25a01f8-7048-46f5-a460-14886f42a0ef · outbound

This paper cites Bringing ai to edge: From deep learning’s perspective,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning Bringing ai to edge: From deep learning’s perspective,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dab41dd6-6f33-478a-8329-dec1c0d6a7a2 · outbound

This paper cites Edge computing: Vision and challenges,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning Edge computing: Vision and challenges,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

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Observation 916f639a-8e13-4e74-a7af-3245053a6607 · outbound

This paper cites Edlab: A benchmark for edge deep learning accelerators,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning Edlab: A benchmark for edge deep learning accelerators,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82d4f435-1a0b-4bdc-a49f-9ee0ca110098 · outbound

This paper cites Data-driven sparse structure selection for deep neural networks,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning Data-driven sparse structure selection for deep neural networks,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

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Unavailable: canonical work link unavailable.

Observation b9113238-c5d7-4550-9d58-5b3cd5cf02d4 · outbound

This paper cites Learning versatile filters for efficient convolutional neural networks,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning Learning versatile filters for efficient convolutional neural networks,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b4f4110-84a5-43fb-b4d0-3fd9baa67d57 · outbound

This paper cites Importance estimation for neural network pruning,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning Importance estimation for neural network pruning,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a54d7ef4-1841-4d7c-b544-4d614b80351b · outbound

This paper cites Hrank: Filter pruning using high-rank feature map,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning Hrank: Filter pruning using high-rank feature map,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3810c658-d70f-46f3-8fd5-f3c18a4127b7 · outbound

This paper cites Towards optimal structured cnn pruning via generative adversarial learning,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning Towards optimal structured cnn pruning via generative adversarial learning,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d42b1917-8800-4eff-bd5e-109708ffd2ba · outbound

This paper cites Decore: Deep compression with reinforcement learning,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning Decore: Deep compression with reinforcement learning,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5a625d1-f7c1-4d28-b54b-7d8d7f2c6abf · outbound

This paper cites Hessian-aware pruning and optimal neural implant,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning Hessian-aware pruning and optimal neural implant,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df67139f-0873-4ce3-a4d4-380175930c1a · outbound

This paper cites Dnr: A tunable robust pruning framework through dynamic network rewiring of dnns,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning Dnr: A tunable robust pruning framework through dynamic network rewiring of dnns,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd33cb00-a449-4ffd-a734-8bf80778c97d · outbound

This paper cites Acceleration-aware fine-grained channel pruning for deep neural networks via residual gating,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning Acceleration-aware fine-grained channel pruning for deep neural networks via residual gating,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aba39510-1b66-435e-9a26-55c81407a3ce · outbound

This paper cites DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1e36696-5277-4a80-a03b-a94a6d2fca37 · outbound

This paper cites Learning structured sparsity in deep neural networks,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning Learning structured sparsity in deep neural networks,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

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Unavailable: canonical work link unavailable.

Observation 5e3feb34-f2f9-4d1c-b8fb-36e1e7a183a9 · outbound

This paper cites Dy- namic resolution network,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning Dy- namic resolution network,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf402a19-850b-4731-9e6f-f86f051dd8ec · outbound

This paper cites Resolu- tion adaptive networks for efficient inference,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning Resolu- tion adaptive networks for efficient inference,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8caecb7-689f-43fe-a8a6-7574e3178196 · outbound

This paper cites Smart scissor: Coupling spatial redundancy reduction and cnn compression for embedded hardware,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning Smart scissor: Coupling spatial redundancy reduction and cnn compression for embedded hardware,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3927ffe-79ea-4fc2-a246-8acfe8b12707 · outbound

This paper cites Provable filter pruning for efficient neural networks,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning Provable filter pruning for efficient neural networks,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2452379f-fd8a-4da7-a618-707d9f0dd51a · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning Mobilenetv2: Inverted residuals and linear bottlenecks,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

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Unavailable: canonical work link unavailable.

Observation d685d51a-64c4-43a3-8ef7-faa6e66755d2 · outbound

This paper cites Zerobn: Learning compact neural networks for latency-critical edge systems,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning Zerobn: Learning compact neural networks for latency-critical edge systems,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

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Unavailable: canonical work link unavailable.

Observation 3f87de50-1d72-4f25-ba7b-c03ccc50c4f9 · outbound

This paper cites Centripetal sgd for pruning very deep convolutional networks with complicated structure,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning Centripetal sgd for pruning very deep convolutional networks with complicated structure,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

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Observation 1833ded4-472b-45a9-817f-1f78c0da4763 · outbound

This paper cites SGDR: Stochastic gradient descent with warm restarts,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning SGDR: Stochastic gradient descent with warm restarts,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

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Unavailable: canonical work link unavailable.

Observation 6ee1d770-f4c6-4afe-98f4-641ca582de3c · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient- based localization,.

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning Grad-cam: Visual explanations from deep networks via gradient- based localization,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T05:22:08.069048Z

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Pith citing papers

No inbound Pith citation observations are available.