Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-25T08:50:09.472259Z
Paper Citation Record · LEDGER
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks
As of 14 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 1 inbound Pith citation observation for arXiv:2411.01088.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T13:56:23.015873Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T13:56:23.447001Z
Reference resolution
61 of 61 outbound references displayed
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- verified fuzzy52
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 654c4c12-70a4-4404-82e9-048413cbb250 · outbound
This paper cites Lower bounds for non-convex stochastic optimization.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Lower bounds for non-convex stochastic optimization
Reference 1
- Resolution
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- raw_fallback, observed 2026-05-25T08:50:33.008555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c5a381ab-b8a7-4d4a-8d64-fe4469bc786c · outbound
This paper cites Blendenpik: Supercharging lapack's least-squares solver.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Blendenpik: Supercharging lapack's least-squares solver
Reference 2
- Resolution
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- raw_fallback, observed 2026-05-25T08:50:32.911213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 49736eb0-0d93-4cb0-9f58-206978eb4865 · outbound
This paper cites Sharp analysis of low-rank kernel matrix approximations.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Sharp analysis of low-rank kernel matrix approximations
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9eb67aab-a763-4181-9c6a-8e32cc62c131 · outbound
This paper cites Efficient global optimization of two-layer relu networks: Quadratic-time algorithms and adversarial training.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Efficient global optimization of two-layer relu networks: Quadratic-time algorithms and adversarial training
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:33.016024Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b8e31b57-b996-4c1b-8966-9a3135066783 · outbound
This paper cites Convex Neural Networks.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Convex Neural Networks
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5886d472-1dfc-42cd-85dd-8d615bb79978 · outbound
This paper cites Training a 3-node neural network is np-complete.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Training a 3-node neural network is np-complete
Reference 6
- Resolution
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- raw_fallback, observed 2026-05-25T08:50:32.988712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d8fe41da-2a63-4c27-8722-cc2a90d078e4 · outbound
This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Distributed optimization and statistical learning via the alternating direction method of multipliers
Reference 7
- Resolution
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- raw_fallback, observed 2026-05-25T08:50:32.928846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7bac52b8-d92a-4e8e-a8a8-95e5b47209a5 · outbound
This paper cites JAX : composable transformations of P ython+ N um P y programs.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks JAX : composable transformations of P ython+ N um P y programs
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2ab0ea9f-cebf-4efa-a291-0df1026ba309 · outbound
This paper cites Hello, It's GPT-2 -- How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Hello, It's GPT-2 -- How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:50:32.666656Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f180ef69-156b-429e-9c68-6916d6030ea0 · outbound
This paper cites On lazy training in differentiable programming.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks On lazy training in differentiable programming
Reference 10
- Resolution
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- raw_fallback, observed 2026-05-25T08:50:32.938180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7b5f18ba-6b68-44a5-ad9c-b3828a1cbf6e · outbound
This paper cites Learning-rate-free learning by d-adaptation.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Learning-rate-free learning by d-adaptation
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:33.056959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation eb256c46-742e-4ab4-b570-addb8cbaaffb · outbound
This paper cites On the global and linear convergence of the generalized alternating direction method of multipliers.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks On the global and linear convergence of the generalized alternating direction method of multipliers
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5b4957ce-123b-4c30-898e-9298ae6d5803 · outbound
This paper cites Precise expressions for random projections: Low-rank approximation and randomized newton.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Precise expressions for random projections: Low-rank approximation and randomized newton
Reference 13
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation bd49dcc3-189e-41f3-be23-ef47f82434a5 · outbound
This paper cites Newton-less: Sparsification without trade-offs for the sketched newton update.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Newton-less: Sparsification without trade-offs for the sketched newton update
Reference 14
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 44048cea-c2dd-497e-84c0-74e40194e1cb · outbound
This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 15
- Resolution
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- local_arxiv, observed 2026-05-25T08:50:32.651565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation fbb8ed62-5070-4204-8e0b-4c8a0b7e5b77 · outbound
This paper cites Genios: an (almost) second-order operator-splitting solver for large-scale convex optimization.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Genios: an (almost) second-order operator-splitting solver for large-scale convex optimization
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:50:32.658707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6d8d7af7-184f-4941-b2d6-f498ef94e058 · outbound
This paper cites On the numerical solution of heat conduction problems in two and three space variables.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks On the numerical solution of heat conduction problems in two and three space variables
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c001c4c0-78f0-43ff-ab17-3d12fddc2bd0 · outbound
This paper cites On the Douglas—Rachford splitting method and the proximal point algorithm for maximal monotone operators.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks On the Douglas—Rachford splitting method and the proximal point algorithm for maximal monotone operators
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 423f61ea-f0d6-4b04-b8c2-e439dd3b02f0 · outbound
This paper cites Randomized Nystr \"o m preconditioning.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Randomized Nystr \"o m preconditioning
Reference 19
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ab9ce841-5371-4f6e-b18e-54943ca20a6b · outbound
This paper cites On the (linear) convergence of Generalized Newton Inexact ADMM.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks On the (linear) convergence of Generalized Newton Inexact ADMM
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ad2dcd65-4e2b-4e80-990f-958c39f6d52c · outbound
This paper cites Escaping from saddle points—online stochastic gradient for tensor decomposition.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Escaping from saddle points—online stochastic gradient for tensor decomposition
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 659ece84-0548-45df-9b0d-5f35af7555f6 · outbound
This paper cites Linearized two-layers neural networks in high dimension.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Linearized two-layers neural networks in high dimension
Reference 22
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7cd6d208-f1dc-4edd-9db8-e0121e42aedc · outbound
This paper cites Matrix Computations.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Matrix Computations
Reference 23
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 37a6c733-28a0-4a98-91c6-8494daaf919a · outbound
This paper cites Shampoo: Preconditioned stochastic tensor optimization.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Shampoo: Preconditioned stochastic tensor optimization
Reference 24
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7e30d1c4-dfba-4000-b375-c03b5a44c4b5 · outbound
This paper cites Neural Tangent Kernel : Convergence and generalization in neural networks.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Neural Tangent Kernel : Convergence and generalization in neural networks
Reference 25
- Resolution
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Source-reported events for the cited work
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Observation 8a436507-d3ea-45fa-a4a6-04cb8928719b · outbound
This paper cites Convex relaxations of relu neural networks approximate global optima in polynomial time.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Convex relaxations of relu neural networks approximate global optima in polynomial time
Reference 26
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 829b1f6c-ae19-4c40-b7b8-36b46949fe3c · outbound
This paper cites Adam: A method for stochastic optimization.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Adam: A method for stochastic optimization
Reference 27
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation eb11337a-dbf6-4070-91df-c8bd828f1216 · outbound
This paper cites Convolutional deep belief networks on cifar-10.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Convolutional deep belief networks on cifar-10
Reference 28
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3f97cae6-85c6-452b-954d-2f0fc5135ccb · outbound
This paper cites Effective dimension adaptive sketching methods for faster regularized least-squares optimization.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Effective dimension adaptive sketching methods for faster regularized least-squares optimization
Reference 29
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5e3bfce3-3dcb-4cd0-a8d3-3b57b4aed9cd · outbound
This paper cites Local convergence properties of douglas--rachford and alternating direction method of multipliers.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Local convergence properties of douglas--rachford and alternating direction method of multipliers
Reference 30
- Resolution
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Source-reported events for the cited work
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Observation 7e5f5d07-04c4-4354-9a04-a7723162b245 · outbound
This paper cites Decoupled Weight Decay Regularization.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Decoupled Weight Decay Regularization
Reference 31
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 20e47e74-06ad-4f64-91ba-e30fb8dd89a3 · outbound
This paper cites Randomized algorithms for matrices and data.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Randomized algorithms for matrices and data
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f1597234-fca4-47b6-b30a-e4f10ba4cf43 · outbound
This paper cites Randomized numerical linear algebra: Foundations and algorithms.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Randomized numerical linear algebra: Foundations and algorithms
Reference 33
- Resolution
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Source-reported events for the cited work
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Observation 68030076-1577-42a2-b0a6-fd9e729d1e83 · outbound
This paper cites Lsrn: A parallel iterative solver for strongly over-or underdetermined systems.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Lsrn: A parallel iterative solver for strongly over-or underdetermined systems
Reference 34
- Resolution
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Source-reported events for the cited work
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Observation c869597c-4dd2-44d9-8153-87bce162e411 · outbound
This paper cites Fast convex optimization for two-layer relu networks: Equivalent model classes and cone decompositions.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Fast convex optimization for two-layer relu networks: Equivalent model classes and cone decompositions
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation de664eaa-99d0-4c5d-94ae-6ad7ef0611df · outbound
This paper cites Gradient methods for minimizing composite functions.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Gradient methods for minimizing composite functions
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7265b4e1-6093-4ea0-927c-0d67ea01b454 · outbound
This paper cites Overhead MNIST: A Benchmark Satellite Dataset.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Overhead MNIST: A Benchmark Satellite Dataset
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:50:32.625118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d8bfab7a-04e4-4297-924b-b48dcdddf095 · outbound
This paper cites Stochastic alternating direction method of multipliers.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Stochastic alternating direction method of multipliers
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:32.966267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6080e027-5171-47b5-81a1-5b11e6fec023 · outbound
This paper cites An accelerated linearized alternating direction method of multipliers.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks An accelerated linearized alternating direction method of multipliers
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:33.060507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 42d44582-6428-474c-8a6f-ca285746d6b3 · outbound
This paper cites Adaptive restart for accelerated gradient schemes.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Adaptive restart for accelerated gradient schemes
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:33.070814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4058bb5e-b0d1-4196-aa86-3137c018c0c9 · outbound
This paper cites Conic optimization via operator splitting and homogeneous self-dual embedding.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Conic optimization via operator splitting and homogeneous self-dual embedding
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:33.082116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 21c745ff-a91a-44ac-86c2-0a8a04ad0817 · outbound
This paper cites Neural networks are convex regularizers: Exact polynomial-time convex optimization formulations for two-layer networks.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Neural networks are convex regularizers: Exact polynomial-time convex optimization formulations for two-layer networks
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:33.035083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d983f175-e29d-44eb-8d5a-312c7a04ef93 · outbound
This paper cites Newton sketch: A near linear-time optimization algorithm with linear-quadratic convergence.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Newton sketch: A near linear-time optimization algorithm with linear-quadratic convergence
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:33.012184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b773b035-fd59-43e6-a3ec-cf69d2222107 · outbound
This paper cites Weighted sums of Random Kitchen Sinks : Replacing minimization with randomization in learning.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Weighted sums of Random Kitchen Sinks : Replacing minimization with randomization in learning
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:33.019859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1a3bb41c-b1e2-4736-82cc-c22de32b519c · outbound
This paper cites Do imagenet classifiers generalize to imagenet? In International conference on machine learning, pages 5389--5400.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Do imagenet classifiers generalize to imagenet? In International conference on machine learning, pages 5389--5400
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:32.974017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a5656490-a8c6-4722-93d1-504f395f8b20 · outbound
This paper cites Scaling Laws for Deep Learning.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Scaling Laws for Deep Learning
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:50:32.638854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ad4537f8-9621-4343-ad71-3f58ad94ea64 · outbound
This paper cites JAXbind: Bind any function to JAX.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks JAXbind: Bind any function to JAX
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:50:32.611555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d4acd4db-a155-4c9c-9360-3a83ec98c5fd · outbound
This paper cites Large-scale convex optimization: algorithms & analyses via monotone operators.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Large-scale convex optimization: algorithms & analyses via monotone operators
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:32.942477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ced8f8e1-0462-4817-a9c3-f1074b62f819 · outbound
This paper cites Almost sure convergence rates for stochastic gradient descent and stochastic heavy ball.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Almost sure convergence rates for stochastic gradient descent and stochastic heavy ball
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:33.103321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b6c9f66b-7cd6-4e7d-a181-435dd80ee9be · outbound
This paper cites Osqp: An operator splitting solver for quadratic programs.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Osqp: An operator splitting solver for quadratic programs
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:32.920334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3d5516c2-7251-4a31-8fbb-777c811be9cf · outbound
This paper cites Fixed-rank approximation of a positive-semidefinite matrix from streaming data.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Fixed-rank approximation of a positive-semidefinite matrix from streaming data
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:33.023694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 98d3739f-aa05-4a47-ac6c-d753f1de3ade · outbound
This paper cites Streaming low-rank matrix approximation with an application to scientific simulation.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Streaming low-rank matrix approximation with an application to scientific simulation
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:32.984061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 38f3840a-2929-4b89-b9a7-b439629be193 · outbound
This paper cites Why are big data matrices approximately low rank? SIAM Journal on Mathematics of Data Science, 1 0 (1): 0 144--160.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Why are big data matrices approximately low rank? SIAM Journal on Mathematics of Data Science, 1 0 (1): 0 144--160
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:33.031205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6179464b-8293-45b3-a6a6-d7ebfb3032a3 · outbound
This paper cites High-dimensional Statistics: A non-asymptotic viewpoint, volume 48.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks High-dimensional Statistics: A non-asymptotic viewpoint, volume 48
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:33.085497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation fdbf8808-b0d6-42b9-be08-2bd3c53eebbe · outbound
This paper cites Sketching as a tool for numerical linear algebra.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Sketching as a tool for numerical linear algebra
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:33.038837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9a13b9e7-0f25-4d8b-beff-5638eac9dba2 · outbound
This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:50:32.645172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 75118288-4340-4316-81aa-03a3ac715a78 · outbound
This paper cites Adahessian: An adaptive second order optimizer for machine learning.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Adahessian: An adaptive second order optimizer for machine learning
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:33.114338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f6022838-e7f2-41ba-b22a-2e9641b5c027 · outbound
This paper cites Model selection and estimation in regression with grouped variables.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Model selection and estimation in regression with grouped variables
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:33.093488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5d865fed-144b-41f4-ae44-c802b8d6d607 · outbound
This paper cites Discerning the linear convergence of admm for structured convex optimization through the lens of variational analysis.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Discerning the linear convergence of admm for structured convex optimization through the lens of variational analysis
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:32.979831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0c561a22-194a-45fd-87c6-330c851e44ae · outbound
This paper cites Adaptive methods for nonconvex optimization.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Adaptive methods for nonconvex optimization
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:33.053517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 58a33817-c604-4644-af0a-1abe76863938 · outbound
This paper cites Nysadmm: faster composite convex optimization via low-rank approximation.
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Nysadmm: faster composite convex optimization via low-rank approximation
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:50:33.027356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Pith citing papers
Observation 5a52081f-e3fe-46b0-8b2e-eed2ea3f37d5 · inbound
SAPPHIRE: Preconditioned Stochastic Variance Reduction for Faster Large-Scale Statistical Learning cites this paper.
SAPPHIRE: Preconditioned Stochastic Variance Reduction for Faster Large-Scale Statistical Learning CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T13:56:23.452127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.