Paper Citation Record · LEDGER

Pruning Deep Convolutional Neural Network Using Conditional Mutual Information

As of 15 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2411.18578.

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

pith.paper-citation-record.v1
2411.18578 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:08:52.079928Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

19 of 19 outbound references displayed

verified exact3
verified fuzzy5
unresolved9
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7c61430e-ab87-49a5-83f6-bc056ef2c100 · outbound

This paper cites We will use the VGG-16 architecture as the main example for implementation in this paper, but all the discussion and developed algorithms can be applied to any CNN structure.

Pruning Deep Convolutional Neural Network Using Conditional Mutual Information We will use the VGG-16 architecture as the main example for implementation in this paper, but all the discussion and developed algorithms can be applied to any CNN structure

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:08:52.494343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9acd1829-9445-4836-81d9-6720c26d0c93 · outbound

This paper cites Eagleeye: Fast sub-net evaluation for efficient neural network pruning.

Pruning Deep Convolutional Neural Network Using Conditional Mutual Information Eagleeye: Fast sub-net evaluation for efficient neural network pruning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:08:52.573168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4efbed1c-4ace-445e-8f88-78d5bfc76962 · outbound

This paper cites Pruning Convolutional Neural Networks for Resource Efficient Inference.

Pruning Deep Convolutional Neural Network Using Conditional Mutual Information Pruning Convolutional Neural Networks for Resource Efficient Inference

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T11:08:52.028544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3271536f-0863-470c-aa94-bf69974faa43 · outbound

This paper cites Impact of Disentanglement on Pruning Neural Networks.

Pruning Deep Convolutional Neural Network Using Conditional Mutual Information Impact of Disentanglement on Pruning Neural Networks

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-12T11:08:52.323607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c37b0a70-781d-4a42-83da-1a0b7c4b8ff2 · outbound

This paper cites Trained rank pruning for efficient deep neural networks.

Pruning Deep Convolutional Neural Network Using Conditional Mutual Information Trained rank pruning for efficient deep neural networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:08:52.541784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 201762e7-0455-4270-84a8-150f14f92df4 · outbound

This paper cites an unresolved cited work.

Pruning Deep Convolutional Neural Network Using Conditional Mutual Information Unresolved cited work

Reference 19

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T11:08:52.462436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ba812eb3-3c3b-490a-bace-11fd2cf42565 · outbound

This paper cites OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators.

Pruning Deep Convolutional Neural Network Using Conditional Mutual Information OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators

Reference 1966

Resolution: verified exact; local_arxiv, observed 2026-08-12T11:08:52.447443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 84c1bb11-555d-4917-99a4-1cfa43096ac6 · outbound

This paper cites A Signal Propagation Perspective for Pruning Neural Networks at Initialization.

Pruning Deep Convolutional Neural Network Using Conditional Mutual Information A Signal Propagation Perspective for Pruning Neural Networks at Initialization

Reference 1998

Resolution: unresolved; no resolver link, observed 2026-08-12T11:08:52.018582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1c1db10-040b-4cf2-9aff-ed018dc03329 · outbound

This paper cites A Closer Look at Structured Pruning for Neural Network Compression.

Pruning Deep Convolutional Neural Network Using Conditional Mutual Information A Closer Look at Structured Pruning for Neural Network Compression

Reference 1999

Resolution: verified exact; local_arxiv, observed 2026-08-12T11:08:52.425710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2cb4fe02-4757-48bf-9231-bef610b524db · outbound

This paper cites For a given CNN, to construct matrix G, we first extract latent features from the CNN by feed- forwarding the training data to each CNN layer.

Pruning Deep Convolutional Neural Network Using Conditional Mutual Information For a given CNN, to construct matrix G, we first extract latent features from the CNN by feed- forwarding the training data to each CNN layer

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:08:52.479300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2420d481-3510-4cdd-9903-c02c65002d7e · outbound

This paper cites an unresolved cited work.

Pruning Deep Convolutional Neural Network Using Conditional Mutual Information Unresolved cited work

Reference 2016

Resolution: unresolved; raw_fallback, observed 2026-08-12T11:08:52.508795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 53a04c5a-338e-40a1-becd-7247c4aab8ed · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Pruning Deep Convolutional Neural Network Using Conditional Mutual Information MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-12T11:08:52.013412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b607579-8987-4813-9a37-ef31358915eb · outbound

This paper cites an unresolved cited work.

Pruning Deep Convolutional Neural Network Using Conditional Mutual Information Unresolved cited work

Reference 2018

Resolution: unresolved; raw_fallback, observed 2026-08-12T11:08:52.525221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 336bdf9c-49cb-4070-9e8f-1a8e4a894532 · outbound

This paper cites Pruning Neural Networks at Initialization: Why are We Missing the Mark?.

Pruning Deep Convolutional Neural Network Using Conditional Mutual Information Pruning Neural Networks at Initialization: Why are We Missing the Mark?

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-12T11:08:52.003694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb8ffe4b-abc5-4222-928a-262e8f19e291 · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

Pruning Deep Convolutional Neural Network Using Conditional Mutual Information Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-12T11:08:52.008043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc32d006-0c9a-48f2-843d-a7844e5247cf · outbound

This paper cites an unresolved cited work.

Pruning Deep Convolutional Neural Network Using Conditional Mutual Information Unresolved cited work

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-12T11:08:52.056774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c07e983-6a4d-488f-a133-7c987c223c4d · outbound

This paper cites net/forum?id=sTECq7ZjtKX.

Pruning Deep Convolutional Neural Network Using Conditional Mutual Information net/forum?id=sTECq7ZjtKX

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:08:52.557811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d70f7832-d972-47cb-8d7f-43bc65d9fab7 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Pruning Deep Convolutional Neural Network Using Conditional Mutual Information Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-12T11:08:52.041988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84801135-db5c-4dc3-8e2e-0a94c467409a · outbound

This paper cites Shujian Yu and Jose C Principe.

Pruning Deep Convolutional Neural Network Using Conditional Mutual Information Shujian Yu and Jose C Principe

Reference 2024

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T11:08:52.283223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.