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Paper Citation Record · LEDGER

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization

As of 17 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:1908.03463.

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

pith.paper-citation-record.v1
1908.03463 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:19:02.750073Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

41 of 41 outbound references displayed

  • verified exact0
  • verified fuzzy14
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 077e7f34-b5a3-4378-a245-c57a17de17c9 · outbound

This paper cites ICLR2018 (2018).

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization ICLR2018 (2018)

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:19:03.140771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 08a7108f-4ff5-4be0-92a8-299c76cf8611 · outbound

This paper cites an unresolved cited work.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Unresolved cited work

Reference 2

Resolution
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raw_fallback, observed 2026-08-14T14:19:03.133084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:19:02.625880Z digest=sha256:e7bb37d29dcbc0d360f86a9f3b481860c72a49bec19dbebc8b3bf7fa4fcaed0a

Observation 8377642c-2312-45f8-aa4e-c012b85ea02b · outbound

This paper cites an unresolved cited work.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:19:03.124914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:19:02.630173Z digest=sha256:56191027ff04e387c433c0348a272a44657e2091edf3533ef16df435684ab87a

Observation 9ec7b532-4c54-4be3-a929-4b7da762f849 · outbound

This paper cites A Survey of Model Compression and Acceleration for Deep Neural Networks.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization A Survey of Model Compression and Acceleration for Deep Neural Networks

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-14T14:19:02.634018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:19:02.634018Z digest=sha256:76e5ace24876f76b3f71f6508bf75d2b1e8dc2a58eba16325d75f0511f2b99bc

Observation 24040b28-b112-4a77-ae53-0e4302918ba2 · outbound

This paper cites Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-14T14:19:02.637986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:19:02.637986Z digest=sha256:9d2da95083c50bfc2a820db9844579ea98238831723ecacd0c7b4a6ee3f06f35

Observation b1c37bef-d9c9-48c8-81e0-f5725427d639 · outbound

This paper cites Improved Bayesian Compression.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Improved Bayesian Compression

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T14:19:02.880880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:19:02.642646Z digest=sha256:54e4ba26ce8365c4c40c33c904ef07533afb852e9211a31c5fb2cc5cbb701c88

Observation b5909d90-f1d2-4c22-8e64-5a3d8093cbf0 · outbound

This paper cites The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Reference 7

Resolution
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no resolver link, observed 2026-08-14T14:19:02.645927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:19:02.645927Z digest=sha256:8963abbaa5d18a581cda094ae1609351b76b6b5f55e0a13f049e4904a82ba188

Observation 8bcc06f1-79b4-4cc3-9b5f-56a9a1658a3f · outbound

This paper cites Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-14T14:19:02.649334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:19:02.649334Z digest=sha256:db4c6b59909ce81cc26ecbcbbbdaaf513e4ba2e6b06815e624424f9c3d112b2e

Observation 3ccbf0e1-3d3f-4735-8125-6fe8409e80d6 · outbound

This paper cites Compressing Deep Convolutional Networks using Vector Quantization.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Compressing Deep Convolutional Networks using Vector Quantization

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T14:19:02.652822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:19:02.652822Z digest=sha256:1b9f7b5e6a397a83f5d6ce98e4d2af0d006d47f1c572e11be3c3cfe4b3a39f30

Observation 62a3416f-a0cd-493f-a5ee-6910e58e1b34 · outbound

This paper cites an unresolved cited work.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:19:03.114375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:19:02.655884Z digest=sha256:dc88064318262d44fd17487c6cbce14c5b82e2aa5ce70f9eac5079f80ae3e828

Observation a6fc6722-b42a-4792-a84c-93306fddaaee · outbound

This paper cites IEEE Trans.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization IEEE Trans

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:19:03.105659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:19:02.659037Z digest=sha256:6f553c07b599a0cb8a820d334eefcade7d2e0ecdd542997974e1b9677d503a03

Observation 58f4a82f-f4fd-4dc2-a8cb-198743d3070f · outbound

This paper cites an unresolved cited work.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:19:03.096488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:19:02.661817Z digest=sha256:a4532902f5a304cdd9cb95365b764dbde64fd724e7954bc32cab3e73e1254a85

Observation af134b5b-7da2-4674-8628-eb6bf10482c9 · outbound

This paper cites an unresolved cited work.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:19:03.087320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:19:02.665166Z digest=sha256:939a931e3ffc9c5eda24230beba56b39541a6f87dc032dcc105f71a6436f2863

Observation ff132f98-3e70-4d40-95b4-f1470c34634d · outbound

This paper cites an unresolved cited work.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:19:03.077920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:19:02.667975Z digest=sha256:5c3aed6628e4f80a4d4420db3485cde9cc3da714a57952b5fb07fc4fd1a2ffd1

Observation 2dd00953-6089-4a93-b0a7-30f5294c4767 · outbound

This paper cites an unresolved cited work.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:19:03.067641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:19:02.670809Z digest=sha256:15333a937eb17e6de32f92b2fd84eb29acf2968f85a87a0a48d32c08f90e51df

Observation efff04bf-4000-4a32-88ec-e7d9d8ffe91d · outbound

This paper cites In: International Conference on Computer Vision (ICCV).

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization In: International Conference on Computer Vision (ICCV)

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:19:03.058239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:19:02.673824Z digest=sha256:842f69624493081222989e66129429f4e19e784960dd0a45bc293e663b4f7304

Observation a9321344-ec00-4e36-9453-2be3b4430e5c · outbound

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

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-14T14:19:02.676589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:19:02.676589Z digest=sha256:eb7f00a71e7ea28be7856bdecee8a887e8ed48df4d58f4ca7fe1213c454fcf20

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

This paper cites Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures.

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

Resolution
unresolved
no resolver link, observed 2026-08-14T14:19:02.679870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:19:02.679870Z digest=sha256:55f325a8df7a47bd0e591cd63540d23954ba080cc7b16f48e34611341a41504e

Observation d6959dcc-d5af-4dcf-8e24-8934be2c01c5 · outbound

This paper cites Data-Driven Sparse Structure Selection for Deep Neural Networks.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Data-Driven Sparse Structure Selection for Deep Neural Networks

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-14T14:19:02.682843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:19:02.682843Z digest=sha256:8ed354c80bba82df69615f06a4cee021e13cd4c553d7406e5d2e6431f2613ec7

Observation 7ce2e369-e294-4c99-b4c9-664d14d33d19 · outbound

This paper cites an unresolved cited work.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:19:03.049849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:19:02.685568Z digest=sha256:bde3c64748fb7dc4fc1178bc7bb5e890745ce0918f6d3b76389c0ecc581d9bca

Observation 0c06709b-6f6e-4a9d-bb74-2b59df2954ac · outbound

This paper cites SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T14:19:02.688004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:19:02.688004Z digest=sha256:8343d5d91b9ee3e668b037cad2a578bd58d45be1288cd927e8ffe3b3fadd4a03

Observation eeacd4cd-8fc2-4ef8-86bc-54053402a90c · outbound

This paper cites Automatic Relevance Determination For Deep Generative Models.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Automatic Relevance Determination For Deep Generative Models

Reference 22

Resolution
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no resolver link, observed 2026-08-14T14:19:02.691249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:19:02.691249Z digest=sha256:d28af2f0c80997b9d70d3be0bd9d67e694a77b825d3f2f2b66099d4cc6406f82

Observation 229d0bd6-5d90-476a-bac4-58ec813a5838 · outbound

This paper cites an unresolved cited work.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:19:03.040437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:19:02.695129Z digest=sha256:330a2636f88335b1b4b0f1f839f4c810d492b03bd47ddd84db685c0df59e6d00

Observation c4722561-7f0a-481b-97c3-1604bba710fd · outbound

This paper cites In: Computer Vision (ICCV), 2017 IEEE International Conference on.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization In: Computer Vision (ICCV), 2017 IEEE International Conference on

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:19:03.030962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:19:02.698390Z digest=sha256:c9dd52643c8e593ee576f024a42d416b6fe580b3c4d5323cc2757067d858b850

Observation 68d18dee-4456-4613-8b77-9ce730bf8d61 · outbound

This paper cites Advances in Neural Information Processing Systems (2017).

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Advances in Neural Information Processing Systems (2017)

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:19:03.021285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:19:02.700990Z digest=sha256:2490c9d6ef8f00bf2b2468eea9bd9cc09dc5352f2f497af6f58407dadfc9f326

Observation 0dc2456e-82db-4699-9eac-0c0c0aac1aeb · outbound

This paper cites ICLR 2018 (2018).

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization ICLR 2018 (2018)

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:19:03.011214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:19:02.703649Z digest=sha256:62c60f949d47bfa59408180e7050bce59af88e817dd587167534cac121a67ea4

Observation 84c3b592-15ff-4915-b2ae-914018f31cb7 · outbound

This paper cites ICCV2017 (2017).

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization ICCV2017 (2017)

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:19:03.001887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:19:02.707119Z digest=sha256:2d0d62bd32ad48ad64e4e7d67b53cdd3297c7cea12863fc03d3119552766a72e

Observation 1d3bb663-d516-474b-ad78-6c9fa21a24d4 · outbound

This paper cites Network: Computation in Neural Systems 6(3), 469–505 (1995).

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Network: Computation in Neural Systems 6(3), 469–505 (1995)

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:19:02.992007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:19:02.709817Z digest=sha256:1e5984737c67bd51054ef1c9bb4af898706676e7f4276c5e71e42a0ba21e9510

Observation 418d5106-4dea-4ac7-86dc-88a980cace3d · outbound

This paper cites ICML 2017 (2017).

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization ICML 2017 (2017)

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:19:02.980884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:19:02.712422Z digest=sha256:832d4ad3eb6aea11ee7661c050b6aa1085f5ca25664c43bd29f63bc6ad4043f2

Observation 7932f816-0059-4ae0-b6e9-501d80f92d21 · outbound

This paper cites ICLR2017 (2017).

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization ICLR2017 (2017)

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:19:02.969813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:19:02.715264Z digest=sha256:e5f20675f556d47f63fe7a77a8d6f7f873566e18a69f8e5bba3786d1adcbef7d

Observation 40a171cf-6d92-4cd2-9178-b6f4eb695238 · outbound

This paper cites an unresolved cited work.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:19:02.958741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:19:02.717819Z digest=sha256:83a5126e1e5bc8bb8601be922a240a9cf7c6a78c8074667fb46e78e3e53f6feb

Observation bb119a49-421c-492d-ae8d-36cfec0858ab · outbound

This paper cites Structured Bayesian Pruning via Log-Normal Multiplicative Noise.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Structured Bayesian Pruning via Log-Normal Multiplicative Noise

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-14T14:19:02.720383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:19:02.720383Z digest=sha256:c48ac8d67278b2f7a8b1a5dd32320c5889116943130b38a06f5806a077247802

Observation cb1598d5-f198-4201-9a82-dcdf1d521b73 · outbound

This paper cites In: European Conference on Computer Vision.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization In: European Conference on Computer Vision

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:19:02.949508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:19:02.724592Z digest=sha256:47c8e391fac9ca8f8392831aa9b7b7fdac2109674d011bdce7c67044d7194224

Observation 0c0501d2-577e-471b-b7bb-0afb38eb2404 · outbound

This paper cites Efficient Processing of Deep Neural Networks: A Tutorial and Survey.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Efficient Processing of Deep Neural Networks: A Tutorial and Survey

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-14T14:19:02.728086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:19:02.728086Z digest=sha256:795a4b29a927ca483e10374e46a7b3caa5e61263e6787f5c1c810e87fd0d25e4

Observation a727a053-57e4-49b8-98de-6eed7c97f7cc · outbound

This paper cites ICLR 2017 (2017).

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization ICLR 2017 (2017)

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:19:02.940066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T14:19:02.730961Z digest=sha256:c61cacfd84daf8f001dce75227b35573f5e3a25ad0d7ac28289e206a1cd7fbda

Observation 42877c1f-cf63-440b-9bfc-bac9a68db775 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization In: Advances in Neural Information Processing Systems

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:19:02.929840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f13dba22-d24f-4adf-9cc1-bc5ba089e618 · outbound

This paper cites an unresolved cited work.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:19:02.919497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8a0ce02a-27cd-472c-ba16-c7bd071cb72f · outbound

This paper cites Training and Inference with Integers in Deep Neural Networks.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Training and Inference with Integers in Deep Neural Networks

Reference 38

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5fea0617-8d8b-4e61-9993-bc73b5267bd7 · outbound

This paper cites Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers

Reference 39

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T14:19:02.788979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 44543eb3-b56e-4ae8-96dc-29027feebeec · outbound

This paper cites Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-14T14:19:02.747133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation eba3b843-b52d-4245-8b4d-84e645bbec6d · outbound

This paper cites In: European Conference on Computer Vision.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization In: European Conference on Computer Vision

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:19:02.907732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

No inbound Pith citation observations are available.