Paper Citation Record · LEDGER

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM

As of 18 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2505.00982.

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

pith.paper-citation-record.v1
2505.00982 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:35:58.060389Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

39 of 39 outbound references displayed

verified exact3
verified fuzzy23
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f82cd0a1-e4d5-4e35-8825-0cd7993c8243 · outbound

This paper cites Deep residual learning for image recognition,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Deep residual learning for image recognition,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.901929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04a91772-b86d-478f-ae62-8355fd89f511 · outbound

This paper cites Resfusion: Denoising diffusion probabilistic models for image restoration based on prior residual noise,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Resfusion: Denoising diffusion probabilistic models for image restoration based on prior residual noise,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.562852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c8ff4062-ada3-4d97-9ac9-0af5e5305c3f · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM LLaMA: Open and Efficient Foundation Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.910941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32c6d930-f6db-45be-8a33-96c28abab184 · outbound

This paper cites Imagenet training in minutes,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Imagenet training in minutes,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.915627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4136fc88-43b9-46b7-aee7-0241748ab2a4 · outbound

This paper cites Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.542700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 098f20e4-80b2-44f9-91f7-eba0d8dfadcd · outbound

This paper cites Towards federated customized neural architecture search for remote sensing scene classification,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Towards federated customized neural architecture search for remote sensing scene classification,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.530513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4216fc77-4461-4a96-98d5-ce37573aaa6b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Adam: A Method for Stochastic Optimization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.931169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73470cca-58f9-4dca-9d98-7af45bd1e587 · outbound

This paper cites Neural networks for machine learning lecture 6a overview of mini-batch gradient descent,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Neural networks for machine learning lecture 6a overview of mini-batch gradient descent,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.517618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e8184d7b-5624-4ad9-b192-607cb8b27a7b · outbound

This paper cites Optimization methods for large- scale machine learning,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Optimization methods for large- scale machine learning,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.939127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 939d16d9-97e9-40fb-9487-c1e4766c4c45 · outbound

This paper cites Large- batch training for lstm and beyond,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Large- batch training for lstm and beyond,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.496855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 967bdf35-0b9e-408c-bc4e-79740397e8f2 · outbound

This paper cites Deep neural network training with distributed k-fac,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Deep neural network training with distributed k-fac,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.482325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9b2fc8e5-cbe0-4a3f-9627-e9adc83f1ef1 · outbound

This paper cites A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.949886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d355ce0a-11ba-4f53-987b-82e93c31f8ff · outbound

This paper cites Optimizing neural networks with kronecker- factored approximate curvature,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Optimizing neural networks with kronecker- factored approximate curvature,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.470009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a14b3053-b592-4867-964a-a0dd62e4a85d · outbound

This paper cites Shampoo: Preconditioned stochastic tensor optimization,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Shampoo: Preconditioned stochastic tensor optimization,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.457417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c67222e1-ff86-444e-8ffb-feaf77080358 · outbound

This paper cites Automon: Automatic distributed monitoring for arbitrary multivariate functions,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Automon: Automatic distributed monitoring for arbitrary multivariate functions,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.444636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fbab591e-eda7-4647-8308-64eceef0ee2f · outbound

This paper cites Fosi: Hybrid first and second order optimization,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Fosi: Hybrid first and second order optimization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.432171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f74826c6-a80e-409d-99d9-7c39a29c2284 · outbound

This paper cites On the limited memory bfgs method for large scale optimization,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM On the limited memory bfgs method for large scale optimization,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.968920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e6b71ba-4433-4fc9-9ab6-712b34b1295d · outbound

This paper cites Towards Practical Second-Order Optimizers in Deep Learning: Insights from Fisher Information Analysis.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Towards Practical Second-Order Optimizers in Deep Learning: Insights from Fisher Information Analysis

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:35:58.186612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ff637452-467f-4e81-b79c-7f4b066536d4 · outbound

This paper cites Nesterov momentum based optimization algorithm for deep learning,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Nesterov momentum based optimization algorithm for deep learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.411208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4564236c-6a76-4563-9dcc-2beb845977f3 · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.980873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0622c8ea-5aea-4ccb-9995-ae27003a58df · outbound

This paper cites An iteration method for the solution of the eigenvalue problem of linear differential and integral operators,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM An iteration method for the solution of the eigenvalue problem of linear differential and integral operators,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.398969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d3bbcfd1-2677-42c1-bdeb-0cc5260033b1 · outbound

This paper cites Federated learning via inexact admm,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Federated learning via inexact admm,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.386530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 93f1d6d4-3966-4159-ba03-7bf21f1ed08f · outbound

This paper cites An inexact admm for separable nonconvex and nonsmooth optimization,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM An inexact admm for separable nonconvex and nonsmooth optimization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.373656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3195e879-76da-4430-8f80-49e97f8e19f3 · outbound

This paper cites Newton raphson method,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Newton raphson method,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.360743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1df4aa1b-8d06-44c6-b565-41476c66799d · outbound

This paper cites SOAP: Improving and stabilizing shampoo using adam for language modeling,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM SOAP: Improving and stabilizing shampoo using adam for language modeling,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.346558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e2d6d9d9-14ef-4ea5-85ad-aab5ca1c48e3 · outbound

This paper cites 4-bit shampoo for memory- efficient network training,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM 4-bit shampoo for memory- efficient network training,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.332616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 161519ff-73d8-4423-8ff3-24c5d3325839 · outbound

This paper cites Preconditioned stochastic gradient descent,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Preconditioned stochastic gradient descent,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.318587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 755bd746-16ee-4e27-90f9-d90e7b1aa43e · outbound

This paper cites Fast exact multiplication by the hessian,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Fast exact multiplication by the hessian,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.305117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5430bcff-5ce3-4f35-bf34-202ebca4af90 · outbound

This paper cites AA-DLADMM: An Accelerated ADMM-based Framework for Training Deep Neural Networks.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM AA-DLADMM: An Accelerated ADMM-based Framework for Training Deep Neural Networks

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:35:58.156628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 550cf32f-8c52-4fbd-a9e4-eaf6c74ea897 · outbound

This paper cites Preconditioned Inexact Stochastic ADMM for Deep Model.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Preconditioned Inexact Stochastic ADMM for Deep Model

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:35:58.138389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 75813759-f3f2-4614-b9ba-8bdcc41c67f8 · outbound

This paper cites A dual algorithm for the solution of nonlinear variational problems via finite element approximation,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM A dual algorithm for the solution of nonlinear variational problems via finite element approximation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.291834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8c4d2f35-cd0d-4c00-87b0-b032d5c52658 · outbound

This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Distributed optimization and statistical learning via the alternating direction method of multipliers,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:58.029972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8a08be1-08b2-407a-93d8-059e32fde87d · outbound

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

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:58.034077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c26ddbe2-91cc-4d20-8f61-9023338ba0a5 · outbound

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

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Learning multiple layers of features from tiny images,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:58.038169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38927258-dbf9-4cbf-b18f-e2f4e26db4eb · outbound

This paper cites Tiny imagenet,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Tiny imagenet,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.263297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bea35495-e3ae-4fdd-9ac1-ff3173c710b8 · outbound

This paper cites Dct-snn: Using dct to distribute spatial information over time for low-latency spiking neural networks,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Dct-snn: Using dct to distribute spatial information over time for low-latency spiking neural networks,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.250710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b8f37a35-6c00-416b-9794-466f5b8e0db5 · outbound

This paper cites Fedqclip: Accelerating federated learning via quantized clipped sgd,.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Fedqclip: Accelerating federated learning via quantized clipped sgd,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.237427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 89423169-2734-4721-96e9-c1c93db93e50 · outbound

This paper cites Decoupled Weight Decay Regularization.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM Decoupled Weight Decay Regularization

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:58.055534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57277992-8131-4ed0-870c-bea3122d3f30 · outbound

This paper cites One weird trick for parallelizing convolutional neural networks.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM One weird trick for parallelizing convolutional neural networks

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:58.060389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

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