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Paper Citation Record · LEDGER

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

As of 13 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

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  • verified fuzzy18
  • unresolved40
  • parse uncertain0
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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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source=arxiv_source observed=2026-08-12T21:08:06.423069Z digest=sha256:0a954d5069883795629923e1a851f3dfc1e6bd2ffd71e74a2073a7252467293e

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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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=sha256:1d2e97fd916531d94b955544a5b6fabc86c0674aaaaf496c4c504a91abc41c06

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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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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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=sha256:0131f7f3c7c77d8a248b0d3f8c16a7e252ce86784d4080a40dceb2427054d45e

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=sha256:799facde72023209c124b1997acdff337b87298b6871e9d868c15f7a7b425c9f

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=sha256:8554858ce8b0eeeb7e21a69ed7ec46b5cd7204f5e8a4ffbe276f23e71df7193a

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=sha256:272a36a700ed97c246f8dfd68318ef9184b4e0519db6ec7e1661c54ebfdc3471

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=sha256:87ea839d516a2eb801df8a961138e77520c2137d352cd4ee473f48d12e6f19b8

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=sha256:13ffb90bd507749e44622bfd6518c0042968af308a94c871fe3daf1196812b6d

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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source=arxiv_source observed=2026-08-12T21:08:06.516918Z digest=sha256:77ce1843309ab5dc11daac1a263f271940ef7b450e4ca244654708a4210e8342

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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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:ba98919054976b8ff097a256e02af31fe5abd2279d47d2dbbdbd5fda48241a9e

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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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=sha256:290ff3f74631d6dcbcd9b9bbe58b2787805e7695ac0c7fd8da1aea2b55d224e1

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=sha256:7197985717a5d68e5fecf59853e652b2221bb04b237140028fa8640aebb7b7cc

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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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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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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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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source=arxiv_source observed=2026-08-12T21:08:06.603038Z digest=sha256:c83f837e1a5f1b5f8b26c45006357240a941b885e211ceb6795bb328e4fd3132

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

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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=sha256:20c6fc7eb3a968b6f870286dce475addd6fd45dd07af761053e5fa45737478ef

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
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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.

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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
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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=sha256:203943fb6f1853f2ac867d0b0b2e28fec06166a6e8cafcecf5251d93e2549929

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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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:f57912a5c6db7543f6bd0480f1a7cea5bd4fe455e3704a1f73286af82a7567a8

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

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

Reference 32

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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=sha256:8651b810dc7dafb03fcc496d9577fe1f9c6119965c8275dfb950cf10e4433d4c

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=sha256:5d362148f24a02af48ee8787e9bac20829a10ca32e8882cc90500fd3961b740b

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

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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:f5828cc34c96a0ab636e5e49513dc96b41d9d262c7b773e4e48b90de836d0dc2

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=sha256:1415da3079b716f8137b103b02278533ee180788522e2b2f32e621a4a72b73bd

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=sha256:1250e8631eaf684b60ef245bb243a87b9e4ab01f2e661a2ec6b16308110a1f69

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=sha256:5ca5f6bb6009aebe9802e1e4d97782a5e08946107ff1cf965b4020b3b967eee0

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=sha256:442a19455b0d40a91efc2d84182eddabdb5e33ad0e41b4cbd09ea531b3c753b5

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=sha256:848efac166ea0c8a593db57ffc1790a5eb18dbc93dca7880690bb557f0e8a714

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=sha256:910f4cd7d23b06a976b4c61c72ffa13aa347f7e63d903b2888c5a338a0e87ded

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=sha256:98b7f7e4c9dd0a23730c0a6100f01252249b9cd7cfaf9c7083e778b578e5f88f

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=sha256:24f8d569ee6327ed84a3d7c318af11141d0dd7e5a934554b8b98cfb2d3a53543

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=sha256:5b848a276d93d2f532c3faaab054aa62ae73a40928b7e88df9c1d28e982c1f7b

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:b21e6dffb958e98b501e6fa4921f2da0b5f94496b1862733edd59214612adad8

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=sha256:589ed5cca35e07e31b70297a14adab6d71d487924fb3f688d31a29ef7666afb2

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=sha256:506f39ba8d613da9b0e2f80903a8623bac6d233f19142aabb1a08662a60c1245

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=sha256:49d5ec409ebd1c904594f53d858d29d244c40348090c8c622063b3f14a1ce214

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=sha256:76ce8ca192d92d88399d9f23ab65e68025f2d7f4a379b8bf20fd29a94a217179

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:b8dcad383b89d29c499343b2269107ca892f7ab544f1d3be462eea662f1dcf1f

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=sha256:0e68ade2393aac7cf31d7913bbc46acbd0dbf6d8d97e62db04ef286dd8d73f19

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=sha256:375314106c041520dba33b6a70b6c54e33ee92f4cfb27d183ea875c9c3a568de

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:c14ef99f31582b37e43216d64d4178d57bfa819ccb533d446a56108297a58dbf

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:e9a205becb8b626f61cd888699ca01eb2c92d4a35da19b28359333febba20cb8

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=sha256:614681a72c06c8a48e57452f53d0ba7923d97983fc179f991e9122ca82472cf4

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=sha256:9847d3cf478af74a1b018ab85c3461c9c8f9b7875c957e8a335137ca64ca3fde

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:f8561e69bd6bc2d0286d1bfdc911d37c1e44de195fa3df33e6c859102e683dfd

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=sha256:8ff49658f49062827507268c4e81cec4df327f92ef2402e48e79d8346361f6d7

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:d3daa6f6763a1ab821d04aca9d335561877f8a40c8d66165afc19dbc6199988b

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=sha256:94a06afd49aa5904596617a434230bf8ff7e2029b1d52c0e5e471a93e540c844

Pith citing papers

No inbound Pith citation observations are available.