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Paper Citation Record Β· LEDGER

Nesterov Method for Asynchronous Pipeline Parallel Optimization

As of 21 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 2 inbound Pith citation observations for arXiv:2505.01099.

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

pith.paper-citation-record.v1
2505.01099 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:33:18.162390Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T06:41:55.732230Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T16:57:09.417491Z

Reference resolution

15 of 15 outbound references displayed

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  • verified fuzzy5
  • unresolved10
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6cd016a3-a827-4f24-a7d4-777fb5dd6827 Β· outbound

This paper cites Now, to enable telescoping sum, we want, πœ†π‘‘Β―h𝑑 + w𝑑 +πœ†π‘‘dπ‘‘βˆ’ w* = w𝑑+1 +πœ†π‘‘+1d𝑑+1βˆ’ w* = w𝑑 + d𝑑 + Β―h𝑑 +πœ†π‘‘+1𝛾𝑑+1(d𝑑 + Β―h𝑑)βˆ’ w*.

Nesterov Method for Asynchronous Pipeline Parallel Optimization Now, to enable telescoping sum, we want, πœ†π‘‘Β―h𝑑 + w𝑑 +πœ†π‘‘dπ‘‘βˆ’ w* = w𝑑+1 +πœ†π‘‘+1d𝑑+1βˆ’ w* = w𝑑 + d𝑑 + Β―h𝑑 +πœ†π‘‘+1𝛾𝑑+1(d𝑑 + Β―h𝑑)βˆ’ w*

Reference 1

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c32af626-ada4-4561-a99e-1d4f354de55b Β· outbound

This paper cites Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays.

Nesterov Method for Asynchronous Pipeline Parallel Optimization Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays

Reference 10

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source=pdf_text observed=2026-08-16T04:33:18.142975Z digest=sha256:22c8f652149f9b27004521a30677befd9e34ed93a266ede6227e0c6c3dab2baa

Observation aa5e9492-7b52-40ed-93f2-39caaf8dcfc8 Β· outbound

This paper cites Asynchrony begets momentum, with an application to deep learning.

Nesterov Method for Asynchronous Pipeline Parallel Optimization Asynchrony begets momentum, with an application to deep learning

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T04:33:18.146879Z digest=sha256:bd036c3b19d9d5e905209405384ab562cc81b2f857705a5b9aff180bcfaa8b1e

Observation daa8b81a-0093-4bd6-abf6-461c1f430af7 Β· outbound

This paper cites Max Ryabinin, Alexander Borzunov, Michael Diskin, Anton Gusev, Denis Mazur, Vsevolod Plokhot- nyuk, Alexey Bukhtiyarov, Pavel Samygin, Anton Sinitsin, and Artem Chumachenko.

Nesterov Method for Asynchronous Pipeline Parallel Optimization Max Ryabinin, Alexander Borzunov, Michael Diskin, Anton Gusev, Denis Mazur, Vsevolod Plokhot- nyuk, Alexey Bukhtiyarov, Pavel Samygin, Anton Sinitsin, and Artem Chumachenko

Reference 13

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T04:33:18.154766Z digest=sha256:6a484960426573ea9b92a706a4173393d6c76b7ca6f2b836b74283c55efa2ce2

Observation 08522034-655a-4ead-b40b-9968d9265051 Β· outbound

This paper cites Language models are few-shot learners.

Nesterov Method for Asynchronous Pipeline Parallel Optimization Language models are few-shot learners

Reference 2004

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T04:33:18.116212Z digest=sha256:59874813f39a03daf91a25f4a088b2cbe0f12d21202cbe3600fb41df0ad7968e

Observation 62d113df-7b33-4911-9c7c-ff5937abacce Β· outbound

This paper cites Advances in asynchronous parallel and distributed optimization.

Nesterov Method for Asynchronous Pipeline Parallel Optimization Advances in asynchronous parallel and distributed optimization

Reference 2011

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T04:33:18.108463Z digest=sha256:fc52f85aa9c5964a8a9f119ff58d353d7a671fdaa9de806b3b47176eec7d7d38

Observation 7443af50-4f89-4810-b2d0-f17a11956b9b Β· outbound

This paper cites DeepSeek-V3 Technical Report.

Nesterov Method for Asynchronous Pipeline Parallel Optimization DeepSeek-V3 Technical Report

Reference 2014

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source=pdf_text observed=2026-08-16T04:33:18.139427Z digest=sha256:1af9163a225fb66c54e8990ebec072a84bcbbc2ca676a6f92372a8e3f145b1d5

Observation 3fd4e7a3-dcb0-40dc-9765-de4d9b5941d9 Β· outbound

This paper cites Efficient and Robust Parallel DNN Training through Model Parallelism on Multi-GPU Platform.

Nesterov Method for Asynchronous Pipeline Parallel Optimization Efficient and Robust Parallel DNN Training through Model Parallelism on Multi-GPU Platform

Reference 2015

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source=pdf_text observed=2026-08-16T04:33:18.119891Z digest=sha256:bb106d21ad7c84cfbb62b280228c328a8211289c52de9524d0a560bb9a9b3065

Observation eca3eaee-feb5-451b-aa17-7ee4f2267dcc Β· outbound

This paper cites The Llama 3 Herd of Models.

Nesterov Method for Asynchronous Pipeline Parallel Optimization The Llama 3 Herd of Models

Reference 2016

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source=pdf_text observed=2026-08-16T04:33:18.123712Z digest=sha256:ca49a7f177ce6c60aa708e4e949765538847ef8265e6a06a83fc3c2240e0a6ea

Observation 6263b47d-7a6d-4a0d-9dc7-801cdcd5a309 Β· outbound

This paper cites XPipe: Efficient Pipeline Model Parallelism for Multi-GPU DNN Training.

Nesterov Method for Asynchronous Pipeline Parallel Optimization XPipe: Efficient Pipeline Model Parallelism for Multi-GPU DNN Training

Reference 2019

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source=pdf_text observed=2026-08-16T04:33:18.127596Z digest=sha256:fa010f9e08d04cbda5219f0a34a1cdb426d3b5284dfc853acc7ef861fc8f0f23

Observation a3486c1a-1f31-42ec-90fa-93f15d60b108 Β· outbound

This paper cites Gap Aware Mitigation of Gradient Staleness.

Nesterov Method for Asynchronous Pipeline Parallel Optimization Gap Aware Mitigation of Gradient Staleness

Reference 2020

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source=pdf_text observed=2026-08-16T04:33:18.112310Z digest=sha256:6717ed8c90cb96be61fddd8267075758ad5e68e0d13407c68037e197501b07fa

Observation 11340616-e711-4c5d-bb51-69ec3357c693 Β· outbound

This paper cites Adam: A Method for Stochastic Optimization.

Nesterov Method for Asynchronous Pipeline Parallel Optimization Adam: A Method for Stochastic Optimization

Reference 2022

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source=pdf_text observed=2026-08-16T04:33:18.135471Z digest=sha256:f13bf3da2ab227126c76d9bb4b95ce34fb890700864d8e02f8cf963ab71c69fc

Observation 9cea2d2c-3dbc-4ac9-8593-e7bb9983b6cf Β· outbound

This paper cites The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication.

Nesterov Method for Asynchronous Pipeline Parallel Optimization The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication

Reference 2023

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source=pdf_text observed=2026-08-16T04:33:18.158765Z digest=sha256:ed8d6c542bdd4d2b47861b404ad62e862bd384ecafda565e3fd0f49b823921c8

Observation b087d70e-8c01-4fd7-a878-8507f1a172dd Β· outbound

This paper cites Taming Momentum in a Distributed Asynchronous Environment.

Nesterov Method for Asynchronous Pipeline Parallel Optimization Taming Momentum in a Distributed Asynchronous Environment

Reference 2024

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source=pdf_text observed=2026-08-16T04:33:18.131529Z digest=sha256:de7ff1364e129ec80b4f2b108bfaa0cf99886ae66a3b9b9ed4135debfa866342

Observation 7e5cb269-4d7e-4837-b501-baddecfc3d6b Β· outbound

This paper cites Zero Bubble Pipeline Parallelism.

Nesterov Method for Asynchronous Pipeline Parallel Optimization Zero Bubble Pipeline Parallelism

Reference 2025

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source=pdf_text observed=2026-08-16T04:33:18.151163Z digest=sha256:4189975d6d9ae6519c3ed114ee2c8993084ae886b5e8c15911ceadb95634f2c4

Pith citing papers

Observation 136c4d28-48f5-4862-841a-0f2d7451a81e Β· inbound

Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency cites this paper.

Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency Nesterov Method for Asynchronous Pipeline Parallel Optimization

Reference 1

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T22:19:15.307830Z digest=sha256:92151bac9a44816826bfd3eef747a1ee3cc85eca2254d3617e8894cce7b0c57a

Observation bfc4c18a-7763-4ebc-a7dd-0c21d091d0db Β· inbound

One-Step Gradient Delay is Not a Barrier for Large-Scale Asynchronous Pipeline Parallel LLM Pretraining cites this paper.

One-Step Gradient Delay is Not a Barrier for Large-Scale Asynchronous Pipeline Parallel LLM Pretraining Nesterov Method for Asynchronous Pipeline Parallel Optimization

Reference 2

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T06:41:55.732230Z digest=sha256:8142f9b7748396f701be6752cb0ed1d3468b28a885c44548b3cf06bf2edce5b6