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Paper Citation Record · LEDGER

Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:1607.03250.

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

pith.paper-citation-record.v1
1607.03250 v1

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 25 of 25 standing notices

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

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:17:02.155727Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T16:49:41.821772Z

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Outbound references

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Pith citing papers

Observation 84bee569-77d8-455a-933f-ec277352f5f3 · inbound

Co-Evolutionary Compression for Unpaired Image Translation cites this paper.

Co-Evolutionary Compression for Unpaired Image Translation Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 13

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local_arxiv, observed 2026-05-24T16:49:41.824455Z

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=2026-05-24T16:46:17.296244Z digest=sha256:d8fb507df18e1025f7f88f862c00b1b800ab92a5a569fe1505b3f7ee927e9df0

Observation ce695263-5a43-4f23-96ef-0f4f2a093d59 · inbound

Architecture-aware Network Pruning for Vision Quality Applications cites this paper.

Architecture-aware Network Pruning for Vision Quality Applications Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 27

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source=pdf_text observed=2026-08-14T15:17:02.155727Z digest=sha256:a7bfb1d23ed3ee46cef0f7456e00c3b9bac3d3611553c040c2110eb6b55deff9

Observation 012b53bb-da21-4894-824b-51b53279dc32 · inbound

Efficient Inference of CNNs via Channel Pruning cites this paper.

Efficient Inference of CNNs via Channel Pruning Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 19

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source=pdf_text observed=2026-08-14T14:25:09.984231Z digest=sha256:9ae006d876014075579f18fb861143175c7b482cbd3485b3b570a7eeab6a238e

Observation ca52b027-ae9e-4c75-b94f-872b6d6c09b0 · inbound

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization cites this paper.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 18

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source=pdf_text observed=2026-08-14T14:19:02.679870Z digest=sha256:ff5e985c2563d7994b9b18c18a0c4345b209bc5345f3502aa63050ba13f03977

Observation 0b069e48-b6a4-43a0-8166-0f0c102f9a7b · inbound

Deep Sparse Band Selection for Hyperspectral Face Recognition cites this paper.

Deep Sparse Band Selection for Hyperspectral Face Recognition Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 63

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source=pdf_text observed=2026-08-14T13:10:39.881609Z digest=sha256:3cd2a4b7c140d641de128b700099a6e8e059c329fcd58d05357c7a24943c5a1b

Observation 2bdc64d6-e702-466f-b1e1-f5abdadbb574 · inbound

PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices cites this paper.

PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 2016

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source=pdf_text observed=2026-08-14T04:48:18.544912Z digest=sha256:f37eadac9a8fd9ca768bd456f50a9851b9b9ecb9e07960c49163ad6313a94315

Observation 22a78d37-02c9-47b7-8fd7-17370f138684 · inbound

Information Consistent Pruning: How to Efficiently Search for Sparse Networks? cites this paper.

Information Consistent Pruning: How to Efficiently Search for Sparse Networks? Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 20

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source=pdf_text observed=2026-08-10T14:14:41.784950Z digest=sha256:4ca68982df32111c116485f39995fa54423ec22783fdc5224ade8e96ac40479f

Observation 8314ac11-3659-4278-b4af-35807abfae8d · inbound

prunAdag: an adaptive pruning-aware gradient method cites this paper.

prunAdag: an adaptive pruning-aware gradient method Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 26

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source=pdf_text observed=2026-08-08T05:44:07.571649Z digest=sha256:2bc0aeb881fe823bd6e6a6382ac3f176c01038021b8b55238871384e0249a6a6

Observation 83d9a645-873a-4e78-be6c-345fd995869d · inbound

Forget the Data and Fine-Tuning! Just Fold the Network to Compress cites this paper.

Forget the Data and Fine-Tuning! Just Fold the Network to Compress Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 35

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source=arxiv_source observed=2026-08-07T19:04:45.577906Z digest=sha256:6c5ce195813f39f2281f271be12ce21cdad1253d21636025bbff7cb69e69d447

Observation 278b3488-f7c5-4f7d-bbc2-e767d1ea16a7 · inbound

Smooth Model Compression without Fine-Tuning cites this paper.

Smooth Model Compression without Fine-Tuning Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 30

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source=pdf_text observed=2026-08-07T12:30:09.113034Z digest=sha256:cdf4befff59ec58e9c2e13512d4b4d202b97037ea5ae807671c095f62db9247f

Observation c4b00561-cae5-4e44-a113-a287d818e1f3 · inbound

PrunePEFT: Iterative Hybrid Pruning for Parameter-Efficient Fine-tuning of LLMs cites this paper.

PrunePEFT: Iterative Hybrid Pruning for Parameter-Efficient Fine-tuning of LLMs Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 2015

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Observation b732994e-7dba-4c84-9a2a-176aa1920ebf · inbound

Hyperpruning: Efficient Search through Pruned Variants of Recurrent Neural Networks Leveraging Lyapunov Spectrum cites this paper.

Hyperpruning: Efficient Search through Pruned Variants of Recurrent Neural Networks Leveraging Lyapunov Spectrum Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 28

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source=pdf_text observed=2026-08-07T05:27:08.054378Z digest=sha256:4f9860fee1b0cc1e3afa9a81212bb02098a09f5c9b32b87b0dda3d0174776bd8

Observation 5772fb6a-8adb-42b3-bc85-4935a86c9fa4 · inbound

Projected Compression: Trainable Projection for Efficient Transformer Compression cites this paper.

Projected Compression: Trainable Projection for Efficient Transformer Compression Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 10

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source=pdf_text observed=2026-08-06T22:11:58.113312Z digest=sha256:d885c7ebd5a4fa4c788820c5391ba0120eca22cd9e550e66233ad7b88aab0996

Observation d7b82c64-dee2-4e75-94ba-3a527df444de · inbound

Model Compression using Progressive Channel Pruning cites this paper.

Model Compression using Progressive Channel Pruning Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 23

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source=pdf_text observed=2026-08-06T19:43:57.711057Z digest=sha256:1646fa3403b648a4984a6eb15ae67ff4e428724db00be320351ca87fb45128ce

Observation c0944544-7c16-420e-9548-62b02175d347 · inbound

LinDeps: A Fine-tuning Free Post-Pruning Method to Remove Layer-Wise Linear Dependencies with Guaranteed Performance Preservation cites this paper.

LinDeps: A Fine-tuning Free Post-Pruning Method to Remove Layer-Wise Linear Dependencies with Guaranteed Performance Preservation Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 21

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source=pdf_text observed=2026-08-06T12:43:04.416702Z digest=sha256:7e34a2495b426fa23a6151056a401022e0cac58fe423b801b22f1187afaf8295

Observation 6cfcee99-6076-4fd8-9bd8-e294b84fd331 · inbound

Train Large, Deploy Compact: Structured Compression for Compact Low-Rank Adaptation cites this paper.

Train Large, Deploy Compact: Structured Compression for Compact Low-Rank Adaptation Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 27

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source=pdf_text observed=2026-08-04T13:31:00.881626Z digest=sha256:262c6a662070607133f30a6198ea779b60c20849ba99d981c35db72651936c4d

Observation 2a7c4f89-407c-484d-ad30-316a92989458 · inbound

Automatic Pruning Discovery for Large Language Models cites this paper.

Automatic Pruning Discovery for Large Language Models Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 13

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source=pdf_text observed=2026-08-03T21:28:01.703277Z digest=sha256:c37ad8b8817f44ac572e490c881c199bf52642e96334f4656e0ea7b1c8a4bf91

Observation fd613282-419c-48ee-87dc-6300b3ebe995 · inbound

Locate-then-Sparsify: Attribution Guided Sparse Strategy for Visual Hallucination Mitigation cites this paper.

Locate-then-Sparsify: Attribution Guided Sparse Strategy for Visual Hallucination Mitigation Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 11

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local_arxiv, observed 2026-05-21T10:34:07.233777Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T10:32:41.447253Z digest=sha256:2fd7460f634764d5c77fc4fe3a228e7fd1e24cbf78e60eaf15f4384ec06ab6e5

Observation 50d60a63-9db7-47d7-8705-e80cd2c7ab49 · inbound

$\lambda$-GELU: Learning Gating Hardness for Controlled ReLU-ization in Deep Networks cites this paper.

$\lambda$-GELU: Learning Gating Hardness for Controlled ReLU-ization in Deep Networks Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 6

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local_arxiv, observed 2026-05-15T00:48:25.037246Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T00:45:05.682426Z digest=sha256:b7a04f465a7fde07e5c8fa388bbe88a7bdc3d321d5fcc4e41e9ff95de3ba196e

Observation 8beec428-15dc-4026-8bb3-62cc7edfb6fa · inbound

GPU Acceleration of Sparse Fully Homomorphic Encrypted DNNs cites this paper.

GPU Acceleration of Sparse Fully Homomorphic Encrypted DNNs Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 21

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arxiv_id, observed 2026-05-11T10:56:03.340298Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T15:16:14.625291Z digest=sha256:b4483f34f7181c2c22698fb254f73696a6a043cbf91cdf34c82f6500b494bc79

Observation dccb7286-8ffd-4392-8783-2388d91328d2 · inbound

Edge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey cites this paper.

Edge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 124

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arxiv_id, observed 2026-05-11T04:30:55.694369Z

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source=arxiv_source observed=2026-05-11T01:19:51.418374Z digest=sha256:ef099f6ec0a7c5cec39a51f2869fee233550297c31348bcc5c1051a74f6d3112

Observation 76a17994-ddb6-454a-af04-623a35a14639 · inbound

Temporal Aware Pruning for Efficient Diffusion-based Video Generation cites this paper.

Temporal Aware Pruning for Efficient Diffusion-based Video Generation Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 108

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local_arxiv, observed 2026-05-20T12:13:16.358027Z

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source=arxiv_source observed=2026-05-20T12:10:34.514379Z digest=sha256:9529312a7a0fad34f873a6e650426dfb595b82714be7be50b88e07eebbba7f90

Observation 375c33d0-6787-46d0-8e0a-f02f774d254b · inbound

Temporal Aware Pruning for Efficient Diffusion-based Video Generation cites this paper.

Temporal Aware Pruning for Efficient Diffusion-based Video Generation Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 157

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local_arxiv, observed 2026-05-22T10:24:47.175975Z

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source=arxiv_source observed=2026-05-22T10:21:33.661344Z digest=sha256:0d6f9c74d8d073560ffe0f3cac72057df29f1431c59a4da220bde18740fa5c88

Observation bc39f68a-9bcf-4458-8ea6-dd80b623e396 · inbound

Loss-Aware Feature-Map Pruning in Convolutional Neural Networks Using Multi-Armed Bandits cites this paper.

Loss-Aware Feature-Map Pruning in Convolutional Neural Networks Using Multi-Armed Bandits Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 11

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source=pdf_text observed=2026-08-02T12:45:40.202171Z digest=sha256:8c03983ee6cc707be263d244d113d9bff60bd96d627a930a9ca3ca9f6d047431

Observation 57636b84-6435-4bfd-ad7b-2a70e7c93e93 · inbound

Are the High-weight Neurons the Important Ones in Image Classification Neural Networks? cites this paper.

Are the High-weight Neurons the Important Ones in Image Classification Neural Networks? Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Reference 23

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