Paper Citation Record · LEDGER

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning

As of 24 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:1906.10337.

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

pith.paper-citation-record.v1
1906.10337 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T17:06:36.384077Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T01:03:42.423515Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T16:09:56.163412Z

Reference resolution

18 of 18 outbound references displayed

verified exact7
verified fuzzy11
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation de79f2f3-d4ea-414c-bb0b-4a758a1b90b1 · outbound

This paper cites Predicting parameters in deep learning.

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Predicting parameters in deep learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T17:07:05.589549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 33b0364f-e892-4328-8981-b7c1e1da48ae · outbound

This paper cites Learning to prune deep neural networks via layer- wise optimal brain surgeon.

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Learning to prune deep neural networks via layer- wise optimal brain surgeon

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T17:07:05.564043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0381efe5-dc5e-4128-af59-5160dc4cbbe2 · outbound

This paper cites Dynamic network surgery for efﬁcient dnns.

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Dynamic network surgery for efﬁcient dnns

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T17:07:05.584474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9b12e1ab-3ee7-4909-93ff-396c474ad6ca · outbound

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

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-25T17:07:05.383867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6afe6261-4f85-4563-b9d9-d091c51a17ee · outbound

This paper cites Identity mappings in deep residual networks.

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Identity mappings in deep residual networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T17:07:05.568612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d5ea84a6-c672-4128-8bf5-be5f990760ac · outbound

This paper cites Channel pruning for accelerating very deep neural net- works.

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Channel pruning for accelerating very deep neural net- works

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T17:07:05.597008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a2b4cbb4-37c3-4a1b-ad73-fa294f9aca3a · outbound

This paper cites Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration.

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-25T17:07:05.378520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7731a200-64be-419f-8770-206c69be94ec · outbound

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

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-25T17:07:05.372960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ce0c70c1-afca-4d75-af04-ec3ada20caa4 · outbound

This paper cites Efﬁcient dnn neuron pruning by minimizing layer-wise nonlinear reconstruction error.

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Efﬁcient dnn neuron pruning by minimizing layer-wise nonlinear reconstruction error

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T17:07:05.593188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bcdea5db-fec7-4393-97b3-062921f32586 · outbound

This paper cites Learning multiple layers of features from tiny images.

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Learning multiple layers of features from tiny images

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T17:07:05.559377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9ff76871-6c7e-44e8-b21e-67ee33bc0815 · outbound

This paper cites Pruning Filters for Efficient ConvNets.

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Pruning Filters for Efficient ConvNets

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-25T17:07:05.402269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 49a744b1-f051-4235-9922-91b53339ec39 · outbound

This paper cites Learning efﬁcient convolutional networks through net- work slimming.

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Learning efﬁcient convolutional networks through net- work slimming

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T17:07:05.580028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7e0b3f6b-088e-4f73-a341-fd8543e1dad8 · outbound

This paper cites Thinet: A ﬁlter level pruning method for deep neural network compression.

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Thinet: A ﬁlter level pruning method for deep neural network compression

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T17:07:05.576386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ccf2c268-587f-49e6-b8be-fd39459f3216 · outbound

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

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Pruning Convolutional Neural Networks for Resource Efficient Inference

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-25T17:07:05.415417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f45d7c8f-af24-4fca-a1a8-123c25318fe4 · outbound

This paper cites Imagenet large scale visual recogni- tion challenge.

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Imagenet large scale visual recogni- tion challenge

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T17:07:05.572600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1f69530e-b32b-4326-a78f-9427323616ea · outbound

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

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-25T17:07:05.409598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 442e8beb-c5ba-4255-84d6-373efa172984 · outbound

This paper cites Filter Distillation for Network Compression.

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Filter Distillation for Network Compression

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-25T17:07:05.396462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8431758c-87f5-4431-bf8b-6f8a6c5c87af · outbound

This paper cites Nisp: Pruning net- works using neuron importance score propagation.

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Nisp: Pruning net- works using neuron importance score propagation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T17:07:05.600699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 97e80962-7e29-4728-a9d5-cd22760d5525 · inbound

Hierarchical Spatial and Channel Aggregation for Cross-domain Few-shot Segmentation cites this paper.

Hierarchical Spatial and Channel Aggregation for Cross-domain Few-shot Segmentation COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning

Reference 50

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T16:09:56.165369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.