Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T11:20:38.632249Z
Paper Citation Record · LEDGER
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework
As of 21 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 4 inbound Pith citation observations for arXiv:2411.18376.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T14:28:29.116748Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
61 of 61 outbound references displayed
- verified exact9
- verified fuzzy15
- unresolved37
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 6aeaeee8-611a-4795-9618-4475911eb944 · outbound
This paper cites Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T11:20:40.222633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9ccb506e-bc48-4112-9345-a4181a394678 · outbound
This paper cites First- and second-order methods for learning: Between steepest descent and newton's method.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework First- and second-order methods for learning: Between steepest descent and newton's method
Reference 2
- Resolution
- verified exact
- doi, observed 2026-08-12T11:20:38.775255Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0fcc671c-37ac-4779-b34c-98af4e894f4e · outbound
This paper cites Fast as CHITA: Neural Network Pruning with Combinatorial Optimization.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Fast as CHITA: Neural Network Pruning with Combinatorial Optimization
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:20:38.040597Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 943a7307-f600-43e3-82a4-7eb3d37f2bb2 · outbound
This paper cites an unresolved cited work.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Unresolved cited work
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:20:38.047995Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf49b125-6d72-41b2-8430-555d98753914 · outbound
This paper cites an unresolved cited work.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Unresolved cited work
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:20:38.060844Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf8ead35-a488-4171-89bb-00e1b6e08c53 · outbound
This paper cites Dynamic N:M Fine-grained Structured Sparse Attention Mechanism.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Dynamic N:M Fine-grained Structured Sparse Attention Mechanism
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T11:20:40.045719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 417d5f50-f9ad-4d88-8dc8-ec91f55bee7f · outbound
This paper cites A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:20:38.079133Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b18af26-c996-4c7d-80fd-d8994ae2d40a · outbound
This paper cites Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:20:38.088365Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a579fb0-00e6-4c8a-9dfa-b480db7d3afe · outbound
This paper cites Scaling vision transformers to 22 billion parameters.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Scaling vision transformers to 22 billion parameters
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:20:38.098267Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7db43c7a-68d8-447e-a36a-e758cb0328a4 · outbound
This paper cites Imagenet: A large-scale hierarchical image database.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Imagenet: A large-scale hierarchical image database
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:20:38.110673Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d5ccc4c-f70f-488c-a06d-c22d5fb915d0 · outbound
This paper cites Learning to prune deep neural networks via layer-wise optimal brain surgeon.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Learning to prune deep neural networks via layer-wise optimal brain surgeon
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:20:40.696485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 01e4454d-a97b-4de9-9d24-f53c20cbdb12 · outbound
This paper cites Learning to prune deep neural networks via layer-wise optimal brain surgeon.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Learning to prune deep neural networks via layer-wise optimal brain surgeon
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:20:40.670169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c8b2b9d7-b29f-425c-b781-e2b68e815bff · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:20:38.145660Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68185e57-5924-4263-8889-305ac1b6101c · outbound
This paper cites The Difficulty of Training Sparse Neural Networks.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework The Difficulty of Training Sparse Neural Networks
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T11:20:39.818967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 468b6d3e-16f3-40c9-83d3-5a944fed9e58 · outbound
This paper cites The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Reference 15
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b845af8c-07fd-46aa-be28-bf267eab1e03 · outbound
This paper cites Optimal brain compression: A framework for accurate post-training quantization and pruning.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Optimal brain compression: A framework for accurate post-training quantization and pruning
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:20:40.640768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c4ecde89-d31a-4931-a5f3-f4d82cb94c33 · outbound
This paper cites SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:20:38.199942Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07dd09a9-7aaa-48e2-b362-7842e7c071e4 · outbound
This paper cites M-FAC: Efficient Matrix-Free Approximations of Second-Order Information.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework M-FAC: Efficient Matrix-Free Approximations of Second-Order Information
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T11:20:39.735567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 75b1e9ab-b4d5-4702-bb88-acaae6fb5f1d · outbound
This paper cites A survey of methods for low-power deep learning and computer vision.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework A survey of methods for low-power deep learning and computer vision
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:20:40.613612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2810bd1e-4c0a-4c61-bb63-432f9930df8b · outbound
This paper cites Is complexity required for neural network pruning? a case study on global magnitude pruning.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Is complexity required for neural network pruning? a case study on global magnitude pruning
Reference 20
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf035db5-0bd7-4647-ab5d-c39598d9be6f · outbound
This paper cites A simple and effective method for removal of hidden units and weights.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework A simple and effective method for removal of hidden units and weights
Reference 21
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec0f7b09-22bd-4e8f-be5c-e2590d76ec77 · outbound
This paper cites Train faster, generalize better: Stability of stochastic gradient descent.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Train faster, generalize better: Stability of stochastic gradient descent
Reference 22
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3354e056-fe95-452f-9267-6fb885dad160 · outbound
This paper cites Second order derivatives for network pruning: Optimal brain surgeon.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Second order derivatives for network pruning: Optimal brain surgeon
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:20:40.583143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6f120316-dab9-419c-a986-4ab8dd8602ed · outbound
This paper cites Deep Residual Learning for Image Recognition.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Deep Residual Learning for Image Recognition
Reference 24
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65ff7ec2-7956-4ed6-a9ee-d0ded90cb30d · outbound
This paper cites Structured pruning for deep convolutional neural networks: A survey.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Structured pruning for deep convolutional neural networks: A survey
Reference 25
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eda0e47e-1a3e-4fdd-9d57-a4c90df90c39 · outbound
This paper cites Data-independent Module-aware Pruning for Hierarchical Vision Transformers.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Data-independent Module-aware Pruning for Hierarchical Vision Transformers
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T11:20:39.396001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 202b337a-07a4-4cda-b2b0-5483f037ad37 · outbound
This paper cites Gaussian Error Linear Units (GELUs).
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Gaussian Error Linear Units (GELUs)
Reference 27
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e57e33c9-9026-45e9-b9b3-5cd2369e5c6f · outbound
This paper cites REVISITING PRUNING AT INITIALIZATION THROUGH THE LENS OF RAMANUJAN GRAPH.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework REVISITING PRUNING AT INITIALIZATION THROUGH THE LENS OF RAMANUJAN GRAPH
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:20:40.529234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 16f63f62-0038-4204-a105-f20cc6e79710 · outbound
This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Reference 29
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db39610c-3434-4f5a-9393-967e0bb8bb80 · outbound
This paper cites Training Recipe for N:M Structured Sparsity with Decaying Pruning Mask.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Training Recipe for N:M Structured Sparsity with Decaying Pruning Mask
Reference 30
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12993e8a-12ca-4936-88c2-67cc2ca7c0bf · outbound
This paper cites Learning multiple layers of features from tiny images, 2009.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Learning multiple layers of features from tiny images, 2009
Reference 31
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e9666b52-73c1-470b-ba91-3e9158c00c03 · outbound
This paper cites CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models
Reference 32
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0988317c-68fd-4603-82a0-6bf670a508c0 · outbound
This paper cites Lecun, L.
Reference 33
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68a30598-4ce4-4757-afd9-f88040a508f4 · outbound
This paper cites Optimal brain damage.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Optimal brain damage
Reference 34
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a7e4ee14-2eca-4ced-b3b8-d8549a4ac60d · outbound
This paper cites Rethinking the Value of Network Pruning.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Rethinking the Value of Network Pruning
Reference 35
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d9a8823-8f15-46fa-9d7c-eee7b56f44f2 · outbound
This paper cites Deep learning via hessian-free optimization.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Deep learning via hessian-free optimization
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:20:40.464914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ccd62f02-4f0d-4277-9073-ce77e52f1a16 · outbound
This paper cites Training deep and recurrent networks with hessian-free optimization.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Training deep and recurrent networks with hessian-free optimization
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:20:40.434872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 61f4d454-c0f8-4dcd-98fa-f95375828d14 · outbound
This paper cites ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
Reference 38
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b59d5fe-68dc-4a08-8f69-bb49af6fef54 · outbound
This paper cites FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T11:20:39.212128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d69f89da-429e-473d-a475-5fbbe7a44109 · outbound
This paper cites OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization
Reference 40
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1da3e98-678e-4b84-b449-7ea388cdc24f · outbound
This paper cites Accelerating Sparse Deep Neural Networks.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Accelerating Sparse Deep Neural Networks
Reference 41
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57d3bbc2-4b96-4bb9-8ca4-b16dd6f49dd9 · outbound
This paper cites Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks
Reference 42
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96888f01-9888-4410-98b9-ada7cda0c656 · outbound
This paper cites Conjugate gradient methods.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Conjugate gradient methods
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:20:40.413717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 40e9b85c-a815-4cf0-ac78-b3b6a3284b0d · outbound
This paper cites Channel permutations for n:m sparsity.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Channel permutations for n:m sparsity
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:20:40.391568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5c6448e4-6ef7-4a22-965f-1b84d488046f · outbound
This paper cites Comparing Rewinding and Fine-tuning in Neural Network Pruning.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Comparing Rewinding and Fine-tuning in Neural Network Pruning
Reference 45
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7522776c-5175-4181-9cd3-914ab319d283 · outbound
This paper cites Sub-Sampled Newton Methods I: Globally Convergent Algorithms.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Sub-Sampled Newton Methods I: Globally Convergent Algorithms
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:20:38.482317Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8be6ffd-eb52-4bad-b0f1-04dbf27f4648 · outbound
This paper cites WoodFisher: Efficient Second-Order Approximation for Neural Network Compression.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework WoodFisher: Efficient Second-Order Approximation for Neural Network Compression
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:20:38.492430Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e93f406b-5e04-40a5-a605-2889544b83ef · outbound
This paper cites Training data-efficient image transformers & distillation through attention.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Training data-efficient image transformers & distillation through attention
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:20:38.505597Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2849319a-a2fa-43c1-ba1d-41fb673da099 · outbound
This paper cites Eigendamage: Structured pruning in the kronecker-factored eigenbasis.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Eigendamage: Structured pruning in the kronecker-factored eigenbasis
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:20:40.371513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a1e191f0-4d0b-421c-96f4-c2a8367623df · outbound
This paper cites Width and depth pruning for vision transformers.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Width and depth pruning for vision transformers
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:20:40.343580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b88f5ff1-1146-4410-8eef-ee19f2fce81b · outbound
This paper cites A Unified Pruning Framework for Vision Transformers.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework A Unified Pruning Framework for Vision Transformers
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:20:38.529186Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85a7228c-1b1d-47c6-b8b9-0988d6752d24 · outbound
This paper cites The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:20:38.548905Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff7fe8af-2b63-4da3-84fc-60a17ad226e9 · outbound
This paper cites Learning best combination for efficient n:m sparsity.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Learning best combination for efficient n:m sparsity
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:20:40.316853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 20d04647-f300-421d-a2e0-c66761166e2f · outbound
This paper cites Spatial Re-parameterization for N:M Sparsity.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Spatial Re-parameterization for N:M Sparsity
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T11:20:38.871758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation fc0761d5-d63a-458f-859b-08adab3c73ca · outbound
This paper cites Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:20:38.582977Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3fbe56b-bb1c-4c19-9162-b2a4e885008c · outbound
This paper cites Alvarez, and Fatih Porikli.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Alvarez, and Fatih Porikli
Reference 56
- Resolution
- verified exact
- doi, observed 2026-08-12T11:20:38.708209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8a0120fe-d27f-4b8b-a321-a954a859516e · outbound
This paper cites Vision Transformer Pruning.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Vision Transformer Pruning
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:20:38.599273Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0e8105a-ebb8-4fd0-9463-8b758e307405 · outbound
This paper cites write newline.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework write newline
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:20:38.607046Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c98d8a5d-87bf-4be7-87a3-7ef7fb2210f3 · outbound
This paper cites @esa (Ref.
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:20:38.615211Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d46dfd86-8861-4569-8903-eb5ba7e29c98 · outbound
This paper cites an unresolved cited work.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Unresolved cited work
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:20:38.625173Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b1d15c1-19d4-4098-b79a-07b5d29578bd · outbound
This paper cites an unresolved cited work.
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Unresolved cited work
Reference 61
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T11:20:40.243444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
Observation 9bf42098-1009-4853-9c55-37d3fe9937c0 · inbound
CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers cites this paper.
CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:40:43.940448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 75cf97a2-3801-4446-b7e2-ac2b20286679 · inbound
STARFISH: faST Accuracy Recovery in pruned networks From Internal State Healing cites this paper.
STARFISH: faST Accuracy Recovery in pruned networks From Internal State Healing Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T21:16:13.459826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e65bd40c-9a4e-4ff5-aeea-b1a3bf06fca5 · inbound
Pruning Deep Neural Networks via the Marchenko--Pastur Distribution cites this paper.
Pruning Deep Neural Networks via the Marchenko--Pastur Distribution Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T14:34:45.175881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d6a7a470-9242-4415-bff9-c127ee9240ef · inbound
RQP: Resource-Oriented Quantiser Pruning for Neural Networks on FPGAs cites this paper.
RQP: Resource-Oriented Quantiser Pruning for Neural Networks on FPGAs Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T15:25:47.434852Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.