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Paper Citation Record · LEDGER

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts

As of 14 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2608.10605.

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

pith.paper-citation-record.v1
2608.10605 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:08:06.927680Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

59 of 59 outbound references displayed

  • verified exact1
  • verified fuzzy18
  • unresolved40
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b237031-4666-4a67-b242-bf83f0093fcd · outbound

This paper cites Scaling Laws for Neural Language Models.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Scaling Laws for Neural Language Models

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:08:06.423069Z digest=sha256:c4ef7b13f62243b2baa4c203d3fc73cff6fb8c1f5d49753c7dfa67f138a2684c

Observation 47491c81-8d8c-428b-afb0-e3be82c0b184 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Training Compute-Optimal Large Language Models

Reference 2

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source=arxiv_source observed=2026-08-12T21:08:06.432109Z digest=sha256:d9062c7d09281a8440986335e5eb90a50f1942c103a26960f584e28603d6b503

Observation fde08990-4081-40a3-84c2-fe5d6d5fedf7 · outbound

This paper cites OpenAI blog , volume=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts OpenAI blog , volume=

Reference 3

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source=arxiv_source observed=2026-08-12T21:08:06.437768Z digest=sha256:fae57c0944b9f3316063b031dfd9422afb4cb305e67a809008dcdae77d5e8e20

Observation 861e5366-811d-4e69-be36-4504f6cc5566 · outbound

This paper cites Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 4

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source=arxiv_source observed=2026-08-12T21:08:06.445085Z digest=sha256:7e648ba7c7646354936a83244ff76425ade66219cbfdb05719ff46b80b9fb2df

Observation f82952f8-c475-4040-87f5-21e42320667a · outbound

This paper cites Scaling Laws for Fine-Grained Mixture of Experts.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Scaling Laws for Fine-Grained Mixture of Experts

Reference 5

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source=arxiv_source observed=2026-08-12T21:08:06.453774Z digest=sha256:fb9ef54e20982b20f1e52f3c3aa3ff183a1488fc613a9aec96c7447a2038d572

Observation 3e9a04ba-a6c0-4ffc-ab1b-bf1478f0881b · outbound

This paper cites The Journal of Machine Learning Research , volume=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts The Journal of Machine Learning Research , volume=

Reference 6

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source=arxiv_source observed=2026-08-12T21:08:06.468088Z digest=sha256:d9d95ac3836d7bd0e70dc66cc137d78d0012ab0f1a6d17482f95ebf38999f5ab

Observation e732c600-88a4-45be-9c2e-75e1102e1db1 · outbound

This paper cites arXiv preprint arXiv:2602.17004 , year=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts arXiv preprint arXiv:2602.17004 , year=

Reference 7

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source=arxiv_source observed=2026-08-12T21:08:06.476414Z digest=sha256:ea1ecf17389add57ae35e2bc49cc8feabd9f30b577bdd3cc8fec05eb1f57ecdd

Observation 90adece7-a22a-4597-8feb-36a4ad71bc70 · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 8

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source=arxiv_source observed=2026-08-12T21:08:06.482664Z digest=sha256:e4e71a8f7b75bd6a4e2608614bc167bdd0a816e933dc457ca700a05d6564e094

Observation 1080a66c-5564-40be-8bd3-2f1bb83852a0 · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Kimi K2: Open Agentic Intelligence

Reference 9

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source=arxiv_source observed=2026-08-12T21:08:06.491904Z digest=sha256:aca6830ec1e5a025bea8d4460906a195d39cecb6c860fc41e687da4d7f474d8d

Observation 7696dc40-8288-4176-876c-614dbc9e2618 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 10

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source=arxiv_source observed=2026-08-12T21:08:06.499520Z digest=sha256:a405554dfdc89dcfdabe42d4999378850059472b4c34f700aebedbff52ca5e5b

Observation 1b8dfd78-0887-4ef0-8656-8b152fcca41d · outbound

This paper cites Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference

Reference 11

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source=arxiv_source observed=2026-08-12T21:08:06.509818Z digest=sha256:701f74d39ae0bdd8a174df5b84caece6cd0f48d96234489e22418a9c6a044985

Observation a8c1dbfc-90ea-4c17-aac4-7fa0e64eaade · outbound

This paper cites Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning

Reference 12

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:08:06.516918Z digest=sha256:e3a6b5d7ba0b85037a1bcc50462690935ee350b0970bc3e8598755a1a40b2f57

Observation 9871cdd8-c02c-4d43-a1a5-40b83cea89cd · outbound

This paper cites Deep Learning Scaling is Predictable, Empirically.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Deep Learning Scaling is Predictable, Empirically

Reference 13

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Unavailable: canonical work link unavailable.

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Observation e966b2f0-c44c-401f-a2d4-b0cf9dc2c31c · outbound

This paper cites 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24) , pages=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24) , pages=

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T21:08:06.532469Z digest=sha256:25b0ddd318a2f737680ece41047d63a4257f6c574fe002ce53e2ec719af838f3

Observation 279fba2c-7251-4635-937a-4a6803670712 · outbound

This paper cites International Conference on Learning Representations , year=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts International Conference on Learning Representations , year=

Reference 15

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raw_fallback, observed 2026-08-12T21:08:08.510849Z

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.

source=arxiv_source observed=2026-08-12T21:08:06.539609Z digest=sha256:1f91b81764ce731bb1969d29594ff0298b1ec068ce134bf74e26527dcf032880

Observation c87a1f04-715e-4808-ac78-43a805473548 · outbound

This paper cites Soft Merging of Experts with Adaptive Routing.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Soft Merging of Experts with Adaptive Routing

Reference 16

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source=arxiv_source observed=2026-08-12T21:08:06.547274Z digest=sha256:2c6a39ba3f632b7953c546a1fff9c9192d43282e3149cf7ffba5df3105fd2520

Observation 23f54b16-ca69-4c39-9c8f-3524ca1fb631 · outbound

This paper cites Proceedings of the National Academy of Sciences , volume=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Proceedings of the National Academy of Sciences , volume=

Reference 17

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Observation d328b382-a377-4683-9ee5-93f5861a7488 · outbound

This paper cites ST-MoE: Designing Stable and Transferable Sparse Expert Models.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts ST-MoE: Designing Stable and Transferable Sparse Expert Models

Reference 18

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source=arxiv_source observed=2026-08-12T21:08:06.563306Z digest=sha256:17c5e28c34979893ad210a0d7c3ff169c9b3d470c5e6579dc8ce6ff4f3f7735b

Observation 180b8c83-5844-4a82-a2f3-7387ea466ace · outbound

This paper cites mT5: A massively multilingual pre-trained text-to-text transformer.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts mT5: A massively multilingual pre-trained text-to-text transformer

Reference 19

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source=arxiv_source observed=2026-08-12T21:08:06.569375Z digest=sha256:f2bb8b6d76f79250c4eca7303d8522ddf1cb6f912f94838cda99b18b8d1a7952

Observation f518dc8b-0d3d-46ed-8094-0ada1d9a1239 · outbound

This paper cites Decoupled Weight Decay Regularization.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Decoupled Weight Decay Regularization

Reference 20

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Observation 3e6274c2-2655-4793-81a4-f6ab3e552ccd · outbound

This paper cites International Conference on Machine Learning , pages=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts International Conference on Machine Learning , pages=

Reference 21

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Observation 4da4ec42-e680-45ce-a964-70da5d2d60d5 · outbound

This paper cites International Conference on Machine Learning , pages=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts International Conference on Machine Learning , pages=

Reference 22

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source=arxiv_source observed=2026-08-12T21:08:06.591968Z digest=sha256:e42ce78a663719c5bd5f48510d3ae7b7ccd9066170bffabb74b8e8a23f58c25c

Observation 4956d621-53c3-4deb-9a73-9c60ee34f75f · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Advances in Neural Information Processing Systems , volume=

Reference 23

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T21:08:06.603038Z digest=sha256:7d9c9b0504dee742eedc284b5f4f54c88375ba700f82011ebaf9e6fdd680861e

Observation 95909ba1-571c-4750-908c-a6bacbad924f · outbound

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

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 24

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source=arxiv_source observed=2026-08-12T21:08:06.610506Z digest=sha256:8fcd77c430aaf8ad9f9dd5c54e7ad937902bbddd6087f13c8af15f3de775087b

Observation b330c79b-3ab7-43f9-adfb-b8cfff00a7ec · outbound

This paper cites TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 25

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Observation 2db3621f-72dc-441d-9a87-43bf15884b26 · outbound

This paper cites Proceedings of the 37th International Conference on Supercomputing , pages=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Proceedings of the 37th International Conference on Supercomputing , pages=

Reference 26

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verified fuzzy
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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T21:08:06.627467Z digest=sha256:d32b62e57aa65cd1582ed5786271f78207b400dec2a816bcd806899b5250de11

Observation ddac6e36-ac01-4d02-87b6-98eef57438b9 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Advances in Neural Information Processing Systems , volume=

Reference 27

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Observation 77f763c1-36c8-4566-be38-58849a6bffff · outbound

This paper cites arXiv preprint arXiv:2512.16248 , year=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts arXiv preprint arXiv:2512.16248 , year=

Reference 28

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source=arxiv_source observed=2026-08-12T21:08:06.641066Z digest=sha256:68da678c46c7721bf01d7176bf6fdf2c79c63b447c79eb80edcd90eb3902dc99

Observation 1c8a86d5-b17a-40d5-ab96-fa4a01bd3183 · outbound

This paper cites Proceedings of Machine Learning and Systems , volume=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Proceedings of Machine Learning and Systems , volume=

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-12T21:08:08.411548Z

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.

source=arxiv_source observed=2026-08-12T21:08:06.647620Z digest=sha256:71d3f96eb56a6239251361e658028cf22ea699027ce1605612d0f020832ad844

Observation a5bd3903-2a3d-4555-93c5-8ec1ac3ea360 · outbound

This paper cites Sparse Backpropagation for.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Sparse Backpropagation for

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-12T21:08:08.394469Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T21:08:06.655242Z digest=sha256:76395b9542848bfd7f5417bcdda4ce38cd969442411793d4e1106872000f7660

Observation 79fb29b2-7267-4aea-ab3c-8ec0215c5399 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts International Conference on Learning Representations (ICLR) , year=

Reference 31

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raw_fallback, observed 2026-08-12T21:08:08.378260Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T21:08:06.663348Z digest=sha256:e0f53125a26d67340af08fd254e7a51c49adc95b8b48950d3bdcb39907654310

Observation f6b20c4f-038b-4fac-93fe-81f5dce1414b · outbound

This paper cites , journal=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts , journal=

Reference 32

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raw_fallback, observed 2026-08-12T21:08:08.361176Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T21:08:06.672459Z digest=sha256:39c323953abbfd6de0555471bdf1323292e0bc9c35a7b41504bdb9cd80f8c930

Observation d3a1d671-822b-4d98-a8ee-48160e81cfa5 · outbound

This paper cites Stochastic Beams and Where to Find Them: The.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Stochastic Beams and Where to Find Them: The

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-12T21:08:08.341498Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T21:08:06.679677Z digest=sha256:67e01211327f56f51ba1093f71dacc9f01eb7736269fff4e3585cc0c0b9dafa0

Observation 25a6391b-18bb-46dd-a4ca-72266ad9a46b · outbound

This paper cites Parameters vs.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Parameters vs

Reference 34

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raw_fallback, observed 2026-08-12T21:08:08.322797Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T21:08:06.686122Z digest=sha256:5466ca9836c616d340f112b4105b991db951e61e6d5560ba183e83a1c93a9763

Observation dd158be4-d9fe-486e-bc92-1ac282baf021 · outbound

This paper cites Optimization and Engineering , volume=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Optimization and Engineering , volume=

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-12T21:08:08.303510Z

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.

source=arxiv_source observed=2026-08-12T21:08:06.695408Z digest=sha256:e6fe55ce552c27a378811d1447ce90857470e9bcd2c430fa6e905aa149a43b58

Observation a0f4deb9-0b83-40f3-85b5-0ccb76c475eb · outbound

This paper cites Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training

Reference 36

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no resolver link, observed 2026-08-12T21:08:06.703997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:08:06.703997Z digest=sha256:5d93c284e238c7398c1f7e6eeef95b8f632c13caff0db822ada4781be20cf9af

Observation 1a9e5656-4d2f-41ce-a555-973240e861ce · outbound

This paper cites Proceedings of the 53rd International Conference on Parallel Processing (ICPP '24) , year=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Proceedings of the 53rd International Conference on Parallel Processing (ICPP '24) , year=

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:08:08.282981Z

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.

source=arxiv_source observed=2026-08-12T21:08:06.711100Z digest=sha256:b8e03735c0eefd308308ceedbd27f40251ed410c33dbad6e03ce95003193b523

Observation 1f65d64f-35b8-4e10-a7fb-773266371e79 · outbound

This paper cites Ladder-residual: parallelism-aware architecture for accelerating large model inference with communication overlapping.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Ladder-residual: parallelism-aware architecture for accelerating large model inference with communication overlapping

Reference 38

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unresolved
no resolver link, observed 2026-08-12T21:08:06.717332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:08:06.717332Z digest=sha256:d425a38bb3063db91e1bacc78c17fdbeec55beb4598e62e671b5b437811901f4

Observation 4feff81c-8e56-4db7-a1ce-7eb0ad1fc118 · outbound

This paper cites Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models

Reference 39

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unresolved
no resolver link, observed 2026-08-12T21:08:06.722936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:08:06.722936Z digest=sha256:d9c04e920f9910e9063e7f756c1f5c36f5f9de5151722fc101c92c28874b574d

Observation 93423d63-cddb-4e3f-aa36-c6a940914633 · outbound

This paper cites Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC) , year=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC) , year=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:08:08.261822Z

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.

source=arxiv_source observed=2026-08-12T21:08:06.733754Z digest=sha256:7b97d6c0b8a7d0fcb1092237395d180b19c6f147f514c9286dd258f21fe0b046

Observation 449a3ae6-aed0-4dfe-82f8-7be2cdeca79e · outbound

This paper cites 2024 57th IEEE/ACM International Symposium on Microarchitecture (MICRO) , pages=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts 2024 57th IEEE/ACM International Symposium on Microarchitecture (MICRO) , pages=

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:08:08.243661Z

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.

source=arxiv_source observed=2026-08-12T21:08:06.742426Z digest=sha256:8dc981603366e4e5766bfed8fbae5730e26f77280a52bc5a5ce174c7069c40e8

Observation 58850515-0fa4-454f-b1c8-916159b0c19b · outbound

This paper cites Scaling Inference-Efficient Language Models.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Scaling Inference-Efficient Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T21:08:06.751426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:08:06.751426Z digest=sha256:45f2b0e2511d186816abbd9737c8f6f5e71fa5fe77f35063d6d7165307d84cf9

Observation f0ee2933-cfee-4a90-8d9a-a4220749136a · outbound

This paper cites Scaling Laws Meet Model Architecture: Toward Inference-Efficient.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Scaling Laws Meet Model Architecture: Toward Inference-Efficient

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:08:08.221653Z

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.

source=arxiv_source observed=2026-08-12T21:08:06.769078Z digest=sha256:9d1444f90734e0ddd48540d25c9af6cd029395b2a9cc00b59456f0b49f071647

Observation 60ff314d-10eb-405d-be45-99a8e95fd263 · outbound

This paper cites an unresolved cited work.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-12T21:08:08.198270Z

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.

source=arxiv_source observed=2026-08-12T21:08:06.779225Z digest=sha256:a64694cd0d9a4e0aff6bdb626da55f16902ca5bfa6882a887299cf562d8f352d

Observation 609d2c17-df99-463d-8f5c-aaf46b44a079 · outbound

This paper cites What Language Model to Train if You Have One Million.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts What Language Model to Train if You Have One Million

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:08:08.180191Z

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.

source=arxiv_source observed=2026-08-12T21:08:06.786185Z digest=sha256:87f1a355e92ca5b20f2c7e76f1309f0fd932ae840567eb8bb90ec511bf4be93e

Observation 1b3e09af-ea8a-4bc3-996c-aa414ca16d3d · outbound

This paper cites Prescriptive Scaling Laws for Data Constrained Training.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Prescriptive Scaling Laws for Data Constrained Training

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T21:08:06.794872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:08:06.794872Z digest=sha256:7ef9f51a9c1c510680ad4270cc717d44465d0d7ff1aea4832aa8b0dcbdc06331

Observation 84ca1d38-a2d4-4d68-91f9-0eabbd6abe40 · outbound

This paper cites Hybrid Architectures for Language Models: Systematic Analysis and Design Insights.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Hybrid Architectures for Language Models: Systematic Analysis and Design Insights

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-12T21:08:06.805052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:08:06.805052Z digest=sha256:41a05fb5d797145b9121674f9ea74d47daa37bf3500ef647d95f6a649944fdb3

Observation 9083bc53-b9b8-4188-b023-70bcb6f7707b · outbound

This paper cites an unresolved cited work.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-12T21:08:08.159756Z

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.

source=arxiv_source observed=2026-08-12T21:08:06.820167Z digest=sha256:cf21c379fa9d3777ed202cf8a102d88b79a81ce41c57e50fd943a0f026b45f6d

Observation f3766a08-927a-4c1c-b9be-a1cdcbc3fd23 · outbound

This paper cites arXiv preprint arXiv:2603.21862 , year=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts arXiv preprint arXiv:2603.21862 , year=

Reference 49

Resolution
verified exact
raw_fallback, observed 2026-08-12T21:08:07.308329Z

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.

source=arxiv_source observed=2026-08-12T21:08:06.833575Z digest=sha256:6c5fa84468e30ae527ce3bea3fbf6f1784368b082f66d8469716485e46084e9a

Observation f62370e6-1b8b-4a82-b630-b3e5a55a2682 · outbound

This paper cites Hardware Co-Design Scaling Laws via Roofline Modelling for On-Device.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Hardware Co-Design Scaling Laws via Roofline Modelling for On-Device

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:08:08.140674Z

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.

source=arxiv_source observed=2026-08-12T21:08:06.840506Z digest=sha256:33e045ecd25384984d1f5226d0d7cd57f45a39cf1e39806df8d628cb6288c056

Observation e56bed54-749c-4a9a-a535-93c8abb5bfe6 · outbound

This paper cites an unresolved cited work.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-12T21:08:08.117496Z

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.

source=arxiv_source observed=2026-08-12T21:08:06.847152Z digest=sha256:d456c14566f679db0722fe011b2ed843532db509235e01ddf2691556f24bc522

Observation 78feed03-83dd-4332-997d-ec02b47a65b2 · outbound

This paper cites arXiv preprint arXiv:2502.06857 , year=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts arXiv preprint arXiv:2502.06857 , year=

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-12T21:08:06.858721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:08:06.858721Z digest=sha256:9644e89f969c3faf08e76240fb7d3fe31af5c7b961693a6a384ba7b334dbe228

Observation d64de1ae-e263-476f-9f40-f3cf22e128d3 · outbound

This paper cites Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-12T21:08:06.867144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:08:06.867144Z digest=sha256:8be965cc4859706b726803868a93b7ada392868021ef42b0edc65a5ee34b06cc

Observation c63cd9ad-4e5c-4fa7-959b-c7c60cca800a · outbound

This paper cites DeepSeek-V3 Technical Report.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts DeepSeek-V3 Technical Report

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-12T21:08:06.874115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:08:06.874115Z digest=sha256:58242f7b7a2b23e128a20b38b84de468260dff8aabacc794b05f229f7098337e

Observation f6255afb-ffab-4fd7-9aae-e43673a7f8ca · outbound

This paper cites Hyperparameter Transfer with Mixture-of-Expert Layers.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Hyperparameter Transfer with Mixture-of-Expert Layers

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-12T21:08:06.883270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:08:06.883270Z digest=sha256:5d7c352be923dd8a2c548bba18caccd5efb9ee362dc2bcbcdbd525ecddd5fb8c

Observation 6b4c7453-91e9-4953-b27b-1697467ad407 · outbound

This paper cites Advances in Neural Information Processing Systems , year=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Advances in Neural Information Processing Systems , year=

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-12T21:08:06.895399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:08:06.895399Z digest=sha256:ea8ea83b5fad556867bfb04f9e069ff2349e9d4d2bfd28e2ae58feb807ce3031

Observation 356a404e-2158-4d02-894c-0369c44ee890 · outbound

This paper cites arXiv preprint arXiv:2603.05451 , year=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts arXiv preprint arXiv:2603.05451 , year=

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-12T21:08:06.908926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:08:06.908926Z digest=sha256:bbbb5c69b32e7f34e3e54416a1b9c8cee4d9f0c090c5b9ce9239434678588ae6

Observation 2056925c-6285-471d-85d7-73ba10d0eb8f · outbound

This paper cites Journal of machine learning research , volume=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Journal of machine learning research , volume=

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-12T21:08:06.922488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:08:06.922488Z digest=sha256:f506948b5a96e84ec52e6d8c77e494a7be13e15a308f653f92cab1f87b561462

Observation a46d8889-f46d-4051-b381-b021bfe68bd6 · outbound

This paper cites Proceedings of the 52nd Annual International Symposium on Computer Architecture , year=.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Proceedings of the 52nd Annual International Symposium on Computer Architecture , year=

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:08:08.059996Z

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.

source=arxiv_source observed=2026-08-12T21:08:06.927680Z digest=sha256:d99b66d3178ee72e2550e203636b1be7fe031d8160eb520ed96e39ae17be8084

Pith citing papers

No inbound Pith citation observations are available.