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Paper Citation Record · LEDGER

Overcoming the Communication-Performance Tradeoff in LLM Pretraining

As of 10 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 9 inbound Pith citation observations for arXiv:2508.15706.

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

pith.paper-citation-record.v1
2508.15706 v3

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:50:42.853083Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:28.702340Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact2
  • verified fuzzy7
  • unresolved20
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch1

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 6221515e-e182-4be1-823f-8309dee29e8b · outbound

This paper cites 16 Preprint Table 12: Final validation loss for the 178M model while varying the number of workers (R∈ {8,16,32}) and the communication interval (H∈ {15,50,100}).Bestis bold.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining 16 Preprint Table 12: Final validation loss for the 178M model while varying the number of workers (R∈ {8,16,32}) and the communication interval (H∈ {15,50,100}).Bestis bold

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 02098e63-497e-48e5-b296-5fcc499f8ff9 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Training Compute-Optimal Large Language Models

Reference 6

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T17:50:42.630685Z digest=sha256:e24b983efad8bf033e501e9823cdb5613d6e8a0a2a3c4b20c410cee2f327bc9d

Observation 63df926d-8e53-4189-88e7-22d9e4ffa8e5 · outbound

This paper cites INTELLECT-1 Technical Report.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining INTELLECT-1 Technical Report

Reference 8

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source=pdf_text observed=2026-08-05T17:50:42.768010Z digest=sha256:48f9688dd14ced750ed89ccfbbbfdb6cd1838ae142309cbb978b4f42e6ca76df

Observation bf1d3653-3e5a-48ba-a4f7-dd2cbb1f5aa0 · outbound

This paper cites Noise Is Not the Main Factor Behind the Gap Between SGD and Adam on Transformers, but Sign Descent Might Be.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Noise Is Not the Main Factor Behind the Gap Between SGD and Adam on Transformers, but Sign Descent Might Be

Reference 11

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source=pdf_text observed=2026-08-05T17:50:42.783058Z digest=sha256:5bbdd131880547eee4e8c9a290763498aa71da1a554cee4fbc0c65b9b333ebcb

Observation a45babaf-8826-4cf5-87ea-5c08e4a1d170 · outbound

This paper cites an unresolved cited work.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:50:42.786073Z digest=sha256:d47c1f75b6dec52b20bc22ed00f9c45ff1b222ec7c49e7c107d69932874e66f0

Observation 77bef573-8aeb-4a55-b5b4-a2b3846e9218 · outbound

This paper cites Shigang Li and Torsten Hoefler.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Shigang Li and Torsten Hoefler

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:50:42.789216Z digest=sha256:a7b7d3188202b10c026893fd588f49d769695ec4d88e4b4b71e11037b81ec38a

Observation 1e9f20c1-531a-4430-ae6f-0a1001da84c6 · outbound

This paper cites Federated optimization in heterogeneous networks.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Federated optimization in heterogeneous networks

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:50:42.793019Z digest=sha256:98c0bc641cdc008febfd60641638a17261c64546bcc586c85b2279d01b5d4c36

Observation 0c0f2604-2fcd-4c56-98ed-9444dc80d49b · outbound

This paper cites Incentivizing Permissionless Distributed Learning of LLMs.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Incentivizing Permissionless Distributed Learning of LLMs

Reference 15

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local_arxiv, observed 2026-08-05T17:50:43.162053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:50:42.795875Z digest=sha256:37c42fc67cd7c14aebb29dccb53ce7083e7c3a54e3020a50c1cfa3a2f585a076

Observation b85900f8-f8d3-49e3-8353-904a2293331a · outbound

This paper cites Don't Use Large Mini-Batches, Use Local SGD.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Don't Use Large Mini-Batches, Use Local SGD

Reference 16

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source=pdf_text observed=2026-08-05T17:50:42.798739Z digest=sha256:9d2a2b3f70626cca6610f7214c7c6344a59e03403ab2b41fe8f5c8fdebfb703c

Observation fd604448-d23b-4e34-a966-a2ad89c2f040 · outbound

This paper cites Trade-offs of Local SGD at Scale: An Empirical Study.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Trade-offs of Local SGD at Scale: An Empirical Study

Reference 18

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local_arxiv, observed 2026-08-05T17:50:43.123584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:50:42.805050Z digest=sha256:98d10707f468ea7f30374aace5d614e40843b293de43417788efb81dab69bb65

Observation 76434ade-3f92-47d1-995a-cf1f69e543e0 · outbound

This paper cites Adaptive Federated Optimization.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Adaptive Federated Optimization

Reference 20

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source=pdf_text observed=2026-08-05T17:50:42.811192Z digest=sha256:b178d66cc4cc6471de43cbf3530a616a42e3aab6b854f9f10c895cafddac121b

Observation 4a93db86-469d-456f-8eb1-fbe2d0c37ee1 · outbound

This paper cites Fedpaq: A communication-efficient federated learning method with periodic averaging and quan- tization.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Fedpaq: A communication-efficient federated learning method with periodic averaging and quan- tization

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:50:42.814455Z digest=sha256:0d71d1bef3b4e47f2b2834f30719f57f9e6ff98f1231e4ca3e95fdb160b5dd4d

Observation f54a0ab4-e55b-46fc-a858-74364dacdff9 · outbound

This paper cites Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, and Raman Arora.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, and Raman Arora

Reference 22

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raw_fallback, observed 2026-08-05T17:50:43.358390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:50:42.817061Z digest=sha256:a511e836b587061ee00e0b867066095922d6163f346e52771b7dee170b70c3d5

Observation e9ceadcd-49c7-4772-b107-db8fe1eada13 · outbound

This paper cites Frank Seide, Hao Fu, Jasha Droppo, Gang Li, and Dong Yu.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Frank Seide, Hao Fu, Jasha Droppo, Gang Li, and Dong Yu

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-05T17:50:43.348698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:50:42.819836Z digest=sha256:088675d8d1c00568cba17f451b540843db7d0b4c71693609676376ed53bb505c

Observation cfda8956-9216-4fbf-abad-c3a3e96ce514 · outbound

This paper cites Local SGD Converges Fast and Communicates Little.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Local SGD Converges Fast and Communicates Little

Reference 25

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source=pdf_text observed=2026-08-05T17:50:42.825545Z digest=sha256:3c6b94aa05e4721f9ad5bb3b840e02e06cc7843e9f4ba64c320e42a94674931a

Observation c7b2f858-94bd-43c9-aaa2-4f663a26e2d7 · outbound

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

Overcoming the Communication-Performance Tradeoff in LLM Pretraining The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication

Reference 27

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source=pdf_text observed=2026-08-05T17:50:42.832022Z digest=sha256:6dcd369443fe4f359a0bf7ff28dc50b146d3c6d8b2f333714b533f04cd311362

Observation cfa86fd4-b77c-4429-a9d6-4c88b674ac0b · outbound

This paper cites MuLoCo: Muon is a practical inner optimizer for DiLoCo.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining MuLoCo: Muon is a practical inner optimizer for DiLoCo

Reference 28

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no resolver link, observed 2026-08-05T17:50:42.834629Z

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source=pdf_text observed=2026-08-05T17:50:42.834629Z digest=sha256:0ef55a48ebd4285cd9791393373ef30c6de10af6e65155075ff4e704e2d59e2d

Observation bc7ce4e6-e092-4508-84f9-ee6e9fb245d7 · outbound

This paper cites Powersgd: Practical low-rank gra- dient compression for distributed optimization.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Powersgd: Practical low-rank gra- dient compression for distributed optimization

Reference 29

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raw_fallback, observed 2026-08-05T17:50:43.338673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:50:42.837941Z digest=sha256:28f6f4be9789fc289ee2a47524bdd74a6e76e1b22470fdf3aab9b980e9e89ece

Observation 319545ff-8ff6-45a6-bd7d-c89389b22308 · outbound

This paper cites SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum

Reference 30

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source=pdf_text observed=2026-08-05T17:50:42.840735Z digest=sha256:32adf59503815c4292bd960739ecfcfc5cbf9bce189583b73c1962137c6cc76a

Observation cb840401-95b0-47c9-8ce9-921e70a0c235 · outbound

This paper cites 12 Preprint Prateek Yadav, Derek Tam, Leshem Choshen, Colin Raffel, and Mohit Bansal.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining 12 Preprint Prateek Yadav, Derek Tam, Leshem Choshen, Colin Raffel, and Mohit Bansal

Reference 31

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source=pdf_text observed=2026-08-05T17:50:42.843800Z digest=sha256:ff82fa6720e038c857362e423be38174bdb9a7b7c3887c1700f34eff40e02b3f

Observation 0b5e8ceb-46a3-4688-9858-41b8c4b4d0c1 · outbound

This paper cites TIES-Merging: Resolving Interference When Merging Models.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining TIES-Merging: Resolving Interference When Merging Models

Reference 32

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source=pdf_text observed=2026-08-05T17:50:42.846515Z digest=sha256:8aa34c7df785953e143c9d56227fed64eb08f30f2dc54b30adf46040adbfadbc

Observation 22f7550f-3658-46d9-98b9-5618ee0a8859 · outbound

This paper cites an unresolved cited work.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Unresolved cited work

Reference 33

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:50:42.850040Z digest=sha256:172e28772b5ccd7248f4ec3d291b79600eccf9bf6476d323c3e318a716a7974d

Observation b4982b35-9e66-4f74-905e-e11c073a41fe · outbound

This paper cites Understanding Top-k Sparsification in Distributed Deep Learning.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Understanding Top-k Sparsification in Distributed Deep Learning

Reference 2014

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:50:42.822540Z digest=sha256:fdb49862ef8910a46f1cace9b89f099b5cc12b76a136500b68bf856abcf9615f

Observation 9882bc39-c807-4627-80db-8146ef538214 · outbound

This paper cites Ilyas Fatkhullin, Alexander Tyurin, and Peter Richt´arik.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Ilyas Fatkhullin, Alexander Tyurin, and Peter Richt´arik

Reference 2016

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verified fuzzy
raw_fallback, observed 2026-08-05T17:50:43.405846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:50:42.460974Z digest=sha256:fc01d278043baf26342ec61baaf746b7ee05780dadb5cd6fd3abb0e8454ae872

Observation 705b1671-64c1-4608-8a81-a1538f6a8306 · outbound

This paper cites Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory

Reference 2017

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local_arxiv, observed 2026-08-05T17:50:43.138006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:50:42.801755Z digest=sha256:00c6e258959dc18149f3c74a0959e439e254cfb793b97dfa7e3bae9f15fb43cd

Observation 86d2e3ab-221c-43e8-9605-21c57eb89b87 · outbound

This paper cites Error Feedback Fixes SignSGD and other Gradient Compression Schemes.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Error Feedback Fixes SignSGD and other Gradient Compression Schemes

Reference 2019

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no resolver link, observed 2026-08-05T17:50:42.775569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:50:42.775569Z digest=sha256:2e06a14112dc5310aa1a708fc9b60e4c443ef713cecfec1b81e4e22a3964b23d

Observation ee5d3247-a933-498e-a5b7-1107f4133822 · outbound

This paper cites Federated Optimization: Distributed Machine Learning for On-Device Intelligence.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 2020

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:50:42.779456Z digest=sha256:7092a8730785d20faabf63617d63904af96fea9fbb2601468c3ad8e9088c511b

Observation a3705fd5-2814-4ef8-82cf-5495a7ca8831 · outbound

This paper cites Decoupled momentum optimization.arXiv preprint arXiv:2411.19870,.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Decoupled momentum optimization.arXiv preprint arXiv:2411.19870,

Reference 2021

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no resolver link, observed 2026-08-05T17:50:42.808173Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:50:42.808173Z digest=sha256:392ccfe1e93614825bce53e4e12858d0bdd4a2ad384fb2979c0726c5baa146a4

Observation e163af05-5ad3-4b11-9034-c2322da03950 · outbound

This paper cites INTELLECT-1 Technical Report.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining INTELLECT-1 Technical Report

Reference 2022

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source=pdf_text observed=2026-08-05T17:50:42.668228Z digest=sha256:5920fd41293bb865f46d13d3f83e0f02222a0eecf053fa3fcf2d654568f2c4b4

Observation 2f595d93-b45a-42a4-8cd5-f81b06ca3339 · outbound

This paper cites WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average

Reference 2023

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no resolver link, observed 2026-08-05T17:50:42.528727Z

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source=pdf_text observed=2026-08-05T17:50:42.528727Z digest=sha256:c0e94d6ff213f179df5d75da2298b294bb9ab555c60b745f7512efad7e668c31

Observation 56cd2afe-9f0a-41fd-a231-e5696fb4f400 · outbound

This paper cites DiLoCo: Distributed Low-Communication Training of Language Models.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining DiLoCo: Distributed Low-Communication Training of Language Models

Reference 2024

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source=pdf_text observed=2026-08-05T17:50:42.327928Z digest=sha256:1b026e1b66f557e414acf50c7ab25372bc07408691af985a332b1ec1b58cfb0f

Observation 89ce55a4-0b28-47c8-a9b6-6077f25d8c10 · outbound

This paper cites Debraj Basu, Deepesh Data, Can Karakus, and Suhas Diggavi.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Debraj Basu, Deepesh Data, Can Karakus, and Suhas Diggavi

Reference 2025

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source=pdf_text observed=2026-08-05T17:50:42.224878Z digest=sha256:374eaa60c6d8e051371c5f7afa91edb9f9bbc1508074e71259d9c23b1f73af54

Pith citing papers

Observation c154d6ed-ccdb-41eb-b8d5-14eba14dc59e · inbound

MuLoCo: Muon is a practical inner optimizer for DiLoCo cites this paper.

MuLoCo: Muon is a practical inner optimizer for DiLoCo Overcoming the Communication-Performance Tradeoff in LLM Pretraining

Reference 43

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no resolver link, observed 2026-08-07T12:45:28.702340Z

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source=arxiv_source observed=2026-08-07T12:45:28.702340Z digest=sha256:c7da8e2eeeac899034b3c6c49196511d6a2d1b62ee6daa34914a1abddf04a7d4

Observation 126fe051-41cf-4dbe-ad5b-43d896bd82b0 · inbound

Understanding and Exploiting Weight Update Sparsity for Communication-Efficient Distributed RL cites this paper.

Understanding and Exploiting Weight Update Sparsity for Communication-Efficient Distributed RL Overcoming the Communication-Performance Tradeoff in LLM Pretraining

Reference 19

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arxiv_id, observed 2026-07-24T02:22:54.639277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T13:37:20.114152Z digest=sha256:35d15e6fbb315bb72337eab4032fba5a8d3a8e92a7eab2e02a6d1c9fabdaface

Observation a68ffe5a-ef00-452d-a16c-cbcc61f46106 · inbound

LoRDO: Distributed Low-Rank Optimization with Infrequent Communication cites this paper.

LoRDO: Distributed Low-Rank Optimization with Infrequent Communication Overcoming the Communication-Performance Tradeoff in LLM Pretraining

Reference 17

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source=pdf_text observed=2026-08-03T04:44:55.982385Z digest=sha256:04d9d59f7af1449a15295f2a9f4c1f9aefca1c036721c7394f404e645fd60b4c

Observation c0dcd1dc-464b-4c46-84c0-ed2d084ad204 · inbound

ResBM: Residual Bottleneck Models for Low-Bandwidth Pipeline Parallelism cites this paper.

ResBM: Residual Bottleneck Models for Low-Bandwidth Pipeline Parallelism Overcoming the Communication-Performance Tradeoff in LLM Pretraining

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-24T02:22:54.639277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T16:36:15.760164Z digest=sha256:be50e8e642955cd75b5ebff2c61f3cb5053be2a29636b3f16a858c4ec40cf36e

Observation 3646a5f2-e9f7-45ea-9aa6-f819aa2acaf6 · inbound

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL cites this paper.

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL Overcoming the Communication-Performance Tradeoff in LLM Pretraining

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-07-24T02:22:54.639277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T05:14:14.168753Z digest=sha256:fdb7cc17ad72b50b31d40379d43f991ff1b288dd6e9b54ce71c16ebca4f699f2

Observation 9fb95a3d-52ce-4a82-ad20-b73f8a39e7da · inbound

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL cites this paper.

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL Overcoming the Communication-Performance Tradeoff in LLM Pretraining

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-07-24T02:22:54.639277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T08:39:31.911497Z digest=sha256:7f58bb094270230d846f855b379329ae1e233a4ccdad396ed57aafe3ea9afcf6

Observation 6cc8a123-c7b5-4134-83e1-63c5c4fb1c83 · inbound

Learned Subspace Compression for Communication-Efficient Pipeline Parallelism cites this paper.

Learned Subspace Compression for Communication-Efficient Pipeline Parallelism Overcoming the Communication-Performance Tradeoff in LLM Pretraining

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-24T02:22:54.639277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T06:41:58.301482Z digest=sha256:e2c143c67f91d0082130740dfd4398bf192b00f7eefca9e73aa3e9adc354ce1b

Observation bc42eb0a-9ce7-46ac-9282-99f3de76e69b · inbound

Unifying Local Communications and Local Updates for LLM Pretraining cites this paper.

Unifying Local Communications and Local Updates for LLM Pretraining Overcoming the Communication-Performance Tradeoff in LLM Pretraining

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-24T02:22:54.639277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T14:07:42.062805Z digest=sha256:25bd1acb138f24a43b592ddff33595edf18ff1b5a345ed35d08d31caa1cde8af

Observation abe9d0ca-ee98-467a-870c-9ed1dcc00a57 · inbound

FoMoE: Breaking the Full-Replica Barrier with a Federation of MoEs cites this paper.

FoMoE: Breaking the Full-Replica Barrier with a Federation of MoEs Overcoming the Communication-Performance Tradeoff in LLM Pretraining

Reference 143

Resolution
verified exact
arxiv_id, observed 2026-07-24T02:22:54.639277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T21:25:15.709652Z digest=sha256:ac9906fd66e18c57fc3947f33bc951075d7721a309a1bab439588676fa2f9172