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Paper Citation Record · LEDGER

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space

As of 15 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2507.14170.

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

pith.paper-citation-record.v1
2507.14170 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:42:08.070692Z

measured 34 of 34 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

34 of 34 outbound references displayed

  • verified exact0
  • verified fuzzy24
  • unresolved9
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 28f1d913-4059-47a2-b934-afe91a21ec1b · outbound

This paper cites Structured pruning for deep convolutional neural networks: A survey.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Structured pruning for deep convolutional neural networks: A survey

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:14.467155Z

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.

source=pdf_text observed=2026-08-06T18:42:04.613446Z digest=sha256:8c435ef3eac2b9fadb7592b214f98fad9930ccf1c86bd87641b2bfa76720cccc

Observation 21680d0d-173c-41e2-b646-8c323ad8146a · outbound

This paper cites Model selection and estimation in regression with grouped variables.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Model selection and estimation in regression with grouped variables

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T18:42:04.697895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:42:04.697895Z digest=sha256:b1b84917a304faaeee7a2e8f6bab5475df03c146e25caea2352520db74e45ea4

Observation 8009e8be-bba4-4493-8c3a-fe2d8e0fdaee · outbound

This paper cites Learning structured sparsity in deep neural networks.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Learning structured sparsity in deep neural networks

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T18:42:04.835554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:42:04.835554Z digest=sha256:8df2bfe7acd430117eb4d6887f962ecf63252d03b89858073c0b40aab0fa33d1

Observation 37f44b4b-e671-4ac8-89ef-2c0a8d805a3e · outbound

This paper cites Filter pruning via geometric median for deep convolutional neural networks acceleration.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Filter pruning via geometric median for deep convolutional neural networks acceleration

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:14.125376Z

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.

source=pdf_text observed=2026-08-06T18:42:04.926233Z digest=sha256:774020c9087f8bc0fffc684e5dbd4826a1fb05808f2e839ef4b5c0e229ce2206

Observation 12dcf221-3599-4896-b3dc-b4b31ec15451 · outbound

This paper cites Pruning-aware sparse regularization for network pruning.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Pruning-aware sparse regularization for network pruning

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:13.858208Z

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.

source=pdf_text observed=2026-08-06T18:42:04.969372Z digest=sha256:b91135b0de5d6c1008d30bd779cd4cf44e33d706d751dd2a671e703c2d74a74d

Observation 71dd90bc-2697-41af-9a28-54f2e55a8fe3 · outbound

This paper cites Structured pruning for efficient convnets via incremental regularization.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Structured pruning for efficient convnets via incremental regularization

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:13.671651Z

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.

source=pdf_text observed=2026-08-06T18:42:05.045926Z digest=sha256:ec8faabe80f45f1b2a3a69f8c988f1c9ceb2663ef323bce2bd00c730c66ac5df

Observation 508644a3-014e-4d24-91f5-cc5fe43f32bc · outbound

This paper cites Neuron-level structured pruning using polarization regularizer.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Neuron-level structured pruning using polarization regularizer

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:13.434751Z

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.

source=pdf_text observed=2026-08-06T18:42:05.149240Z digest=sha256:a4df74d77a74c00601826336667f46e8b472f11e6ef4b08ecc7b8cd766e2a62d

Observation ecef81ea-baf5-4c3b-bad6-4404deb04064 · outbound

This paper cites Gdp: Stabilized neural network pruning via gates with differentiable polarization.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Gdp: Stabilized neural network pruning via gates with differentiable polarization

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:13.207744Z

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.

source=pdf_text observed=2026-08-06T18:42:05.257065Z digest=sha256:ad3982aea79fd5f8e8fe79e689797f56c631a1916034ef29099cca09a1d11493

Observation ba2a5be3-4063-4ef9-9d37-941e6806348d · outbound

This paper cites Differentiable network pruning via polarization of probabilistic channelwise soft masks.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Differentiable network pruning via polarization of probabilistic channelwise soft masks

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:13.044748Z

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.

source=pdf_text observed=2026-08-06T18:42:05.389473Z digest=sha256:27150f0f0dbacb53d307337cce80d5c54da177a059cc1cfec9752ddc09c736dd

Observation feb18481-503a-4cd5-ad7e-7bf844a7fc26 · outbound

This paper cites Learning efficient convolutional networks through network slimming.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Learning efficient convolutional networks through network slimming

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:12.760054Z

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.

source=pdf_text observed=2026-08-06T18:42:05.534514Z digest=sha256:eccbbfe19734fa377020a4f8dedcb7b58f7cb646b3d74b27fc53d0252323a9a0

Observation 19a535af-a0c4-4e3c-afb3-7c924d83f087 · outbound

This paper cites Operation-aware soft channel pruning using differentiable masks.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Operation-aware soft channel pruning using differentiable masks

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:12.462280Z

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.

source=pdf_text observed=2026-08-06T18:42:05.727770Z digest=sha256:4d2247d31034bf8696e7eb7921f61c3baff651aa4f01d939009d26d5a38eb76a

Observation 5c211104-8af5-4850-9020-9b96d11bab12 · outbound

This paper cites Neural Pruning via Growing Regularization.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Neural Pruning via Growing Regularization

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T18:42:05.875145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:42:05.875145Z digest=sha256:bcc82ab215896a88a31a2d7108ec2a4faa53c8f5c3c7a9edda291010cff1e687

Observation 1885fd01-3ca0-484d-ae9a-00b2a74da696 · outbound

This paper cites Auto-train-once: Controller network guided automatic network pruning from scratch.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Auto-train-once: Controller network guided automatic network pruning from scratch

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:12.205671Z

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.

source=pdf_text observed=2026-08-06T18:42:06.001716Z digest=sha256:ece74b8393552a2e5d127e8b3637e118d5de139ea7549685025a9ef3ff2151b2

Observation 0086d9d4-5432-46bc-b7a2-927504321fc4 · outbound

This paper cites Resrep: Lossless cnn pruning via decoupling remembering and forgetting.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Resrep: Lossless cnn pruning via decoupling remembering and forgetting

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:11.914752Z

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.

source=pdf_text observed=2026-08-06T18:42:06.185192Z digest=sha256:560f39c5eb70cf2c4edfe9d29a7672f0923f02a29ffa58c6c1a80d66d9d4352f

Observation 225e0345-25d6-430c-9b22-3ee51e7d09a2 · outbound

This paper cites Depgraph: Towards any structural pruning.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Depgraph: Towards any structural pruning

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:11.695391Z

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.

source=pdf_text observed=2026-08-06T18:42:06.371299Z digest=sha256:1def3faacc71441e3bb91f59bd0c85d132ddfda8dacba0e016e0792f209c2a0a

Observation d97dcad1-086a-4346-aab9-32fd9ff74c7f · outbound

This paper cites Pruning via sparsity-indexed ode: a continuous sparsity viewpoint.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Pruning via sparsity-indexed ode: a continuous sparsity viewpoint

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:11.474753Z

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.

source=pdf_text observed=2026-08-06T18:42:06.469656Z digest=sha256:77ace890fd0e158a652f461c753251c06fab0478a6cad4aae8b43a649231ed08

Observation 9c7d1e61-196a-4f7f-9da3-8009adb19544 · outbound

This paper cites Repvgg: Making vgg-style convnets great again.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Repvgg: Making vgg-style convnets great again

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T18:42:06.625859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:42:06.625859Z digest=sha256:9e38260b4a414a481fcb48a81229fd44f1661c302575f20829b2b09640858594

Observation ecdb05fb-7510-4406-b8d6-c7606093c6ba · outbound

This paper cites Online convolutional re-parameterization.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Online convolutional re-parameterization

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:11.134759Z

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.

source=pdf_text observed=2026-08-06T18:42:06.732868Z digest=sha256:9ad9fc53b8e9388c81416a96d3e8f7b730242c69570f99f8413c385769e1f690

Observation 38d3c888-fbf5-4c3d-bce3-7c4e07cd469b · outbound

This paper cites Repnas: Searching for efficient re-parameterizing blocks.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Repnas: Searching for efficient re-parameterizing blocks

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:10.834736Z

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.

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Observation 271b8da5-49ca-4deb-8b95-9e2bdd7c65d1 · outbound

This paper cites Repan: Enhanced annealing through re-parameterization.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Repan: Enhanced annealing through re-parameterization

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:10.534752Z

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.

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Observation f228ae2c-5bf0-47f4-acd5-d24e6b048e49 · outbound

This paper cites Bypassing stationary points in training deep learning models.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Bypassing stationary points in training deep learning models

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:10.317413Z

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.

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Observation 48fa0019-4402-45ec-aca1-994885ef2547 · outbound

This paper cites Eigendamage: Structured pruning in the kronecker-factored eigenbasis.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Eigendamage: Structured pruning in the kronecker-factored eigenbasis

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:10.014886Z

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.

source=pdf_text observed=2026-08-06T18:42:07.196917Z digest=sha256:bd95c0d47dfa4f24e1b21b72db909e25a9761044f127911d9716db242fd1d9c3

Observation a77aa325-c553-4a5f-ada5-3f4b335e6219 · outbound

This paper cites Provable filter pruning for efficient neural networks.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Provable filter pruning for efficient neural networks

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:09.714766Z

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.

source=pdf_text observed=2026-08-06T18:42:07.255591Z digest=sha256:96ca4203154f47d9baafc4c97d923068f93427a78ef68254658421701e0d5775

Observation e5175458-a0b9-4556-9242-b8fd42344ab8 · outbound

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

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Thinet: A filter level pruning method for deep neural network compression

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:09.408449Z

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.

source=pdf_text observed=2026-08-06T18:42:07.327133Z digest=sha256:f538a055f311781f101e3f59449099e073b743fcaf7e07f0fef96497bc14c99a

Observation 27495d49-21b7-43b4-b59e-9ef77dfb9c22 · outbound

This paper cites Carrying out cnn channel pruning in a white box.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Carrying out cnn channel pruning in a white box

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:09.134752Z

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.

source=pdf_text observed=2026-08-06T18:42:07.407648Z digest=sha256:3b76ee6b8703fb6863950650cc44d03abe4e3f99be86dbabeb867cc3a5dd5ae1

Observation c72188a9-0aa5-4428-a0d0-e7a871db6c77 · outbound

This paper cites Oicsr: Out-in-channel sparsity regularization for compact deep neural networks.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Oicsr: Out-in-channel sparsity regularization for compact deep neural networks

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:08.928787Z

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.

source=pdf_text observed=2026-08-06T18:42:07.495505Z digest=sha256:30b18affc4b929f7b445dd781de0a935abfffa1c150efdaeff8e4409d899097e

Observation 8ce8b5c7-0bf5-4231-a397-1a2ab602c965 · outbound

This paper cites Aggregated residual transforma- tions for deep neural networks.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Aggregated residual transforma- tions for deep neural networks

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:08.785204Z

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.

source=pdf_text observed=2026-08-06T18:42:07.587317Z digest=sha256:9b3d864b2f0a64c2b7bf7d62b3e39f5bae208f032ab8b65ac82c0a68c5fea602

Observation 6553b11d-bf48-4eaf-83ea-c5412c2f7f87 · outbound

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

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Learning multiple layers of features from tiny images

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T18:42:07.672058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:42:07.672058Z digest=sha256:2874ace716afde9854592eba43603b29cb5bec858787370390148a691667ce9b

Observation 664020e6-7171-42c6-a90f-e482de627870 · outbound

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

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T18:42:07.758833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:42:07.758833Z digest=sha256:68c06e104b8b9b0f5e32737806f5d7ae6c3fb30e1ec7b5329251a3ea3aeab1da

Observation 739990a2-9f10-4f95-9aaf-d3903c51b811 · outbound

This paper cites Berg, and Li Fei-Fei.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Berg, and Li Fei-Fei

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T18:42:07.816639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:42:07.816639Z digest=sha256:99520cbe4055c81017d55eb37f2e50cf9e480790d8e325cda4993f0c3462b804

Observation 6026c76f-cf52-4cd7-9f06-b6966a9a9057 · outbound

This paper cites Torchvision: Pytorch’s computer vision library.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Torchvision: Pytorch’s computer vision library

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:08.642898Z

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.

source=pdf_text observed=2026-08-06T18:42:07.872181Z digest=sha256:1f45695ac0b65858806b38860489ad0022dd3641d7a462b8de65503bc8959ce5

Observation c9ec2bad-c78e-4601-9a2d-b1470cc8e66c · outbound

This paper cites an unresolved cited work.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:42:08.505372Z

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.

source=pdf_text observed=2026-08-06T18:42:07.935492Z digest=sha256:ca4c9a46c7ce8134b089cd2b2596fd1191fe0737d3c88b1243e5eb7327ab1fbe

Observation 9acee240-5eb7-4eae-ae9f-7e43e7e3c1b1 · outbound

This paper cites an unresolved cited work.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:42:08.351490Z

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.

source=pdf_text observed=2026-08-06T18:42:07.999744Z digest=sha256:e8d57bde6ba921e790074dac442efd188c895a73fbb7a04271a6271e30d5050a

Observation 7d2af9e3-3631-429b-a428-6b394ce500de · outbound

This paper cites A.2 The embed function Now we set the embed map as follows: Definition A.2.

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space A.2 The embed function Now we set the embed map as follows: Definition A.2

Reference 34

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T18:42:08.259688Z

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.

source=pdf_text observed=2026-08-06T18:42:08.070692Z digest=sha256:ddccef60aa27186505c7e144263c03726a1b526e5251e2bf91aebd75012a4c3a

Pith citing papers

No inbound Pith citation observations are available.