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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
  • 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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source=arxiv_source observed=2026-08-12T21:08:06.423069Z digest=sha256:d2ea745b0f99fbc5b4faccad276766fe1ac532c9fec28d2ec35ac138b6afbe0f

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=sha256:223290122dcb6c9093413cffcde03bc7d2b67df575f70ab99522ff1800cd812f

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=sha256:9bd399decd1ee439733d00c05695fc1ea80e60b537445b965af45ed6f29ff1f6

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:f20a957f865fe31dd7c8f6a67023f500002ce5f5641f33801f5bfd84deccbc4c

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=sha256:50f23b5d97f7e061f9dfa0179b9e9c3365a09d6c52e90aae431c50ad4bb2a329

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=sha256:5ae19da6490bdec717bb4c564ead1c9d016fb3f3d4cfde575c3b2e61414dc8dd

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=sha256:55279a4f26a707b726d41a03416a5865a20c42e9ee4d0eea8ee81cc958d4a161

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=sha256:6d6584cf2d513044bd6c417a857490b9f8f81728d8bb289fcbde5e7864ac84da

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=sha256:0898383fb66a5b0652228d8355264e516da971b204bffefb211eaf3bf7afe82f

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=sha256:900ea7689efef45e66b06283f9402528e769ff7989b7dbc04abee3c89bd7eab4

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=sha256:22e2dbc93d1d3a5776236802bec98441ce7c060a171f9405447775d7000010a7

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=sha256:142b9c9e80c31d31250686b0182e51e57fa1f12960dcfb0f2e300cdb3110ec56

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.

source=arxiv_source observed=2026-08-12T21:08:06.522212Z digest=sha256:53d3324779874e72e7673022215f1357f1ef77b32b9758ab73066ff44c17ed2d

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:b9555d31095865707c5cdde887ef28a33d09775ef0c1cd3d1ce7076604255a64

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=sha256:607116c1e39d53468faa5900376ff3a2fe2cfffe34c96d0cbf2c7bae4dc91f9b

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=sha256:698891c341d128f8c1405da7a75338fd1a288b1ed838cbb29d1b944b7728f248

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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source=arxiv_source observed=2026-08-12T21:08:06.554427Z digest=sha256:cf9839235d5a129e8fc2ea03ff5e6dcc4b71b1c285f634246d2fd4cc1083536d

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=sha256:8a7ab2b803091c322aca3d22e134fc8a793e6e88766615d74230468764afef12

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=sha256:0905e98839893a26c4ce4436084c35ef4785be784f9f743dd2af32bbd84f7f0b

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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source=arxiv_source observed=2026-08-12T21:08:06.585378Z digest=sha256:d2a35b0870411e2a3bee3c125f16772ff7d87f38fc04eb1b10e200262bf4afb6

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=sha256:9f5e50146a2fd89e1c1a2227c146361cead91d6f702d5524c20e3715abbe3a0d

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:b87265a70aa2133e0eaf202907e789880a3d883793d44813c6621074db94ddc4

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=sha256:2bdcdaa4299f43fc03e7c4c2376e3e594d0dec9ad9b059e602414358419ec0bc

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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source=arxiv_source observed=2026-08-12T21:08:06.618512Z digest=sha256:120b22703f57ee933d4724ef4ddc7548fbb207d3d6a035d284022ec7d4d737de

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.

source=arxiv_source observed=2026-08-12T21:08:06.627467Z digest=sha256:e9a2dd52eb4a6a25c096f8bc342ed6767d646579880ed2a534cf64e36dfd9cef

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=sha256:423747126a6432559216b3811da000d6aeb7a7171fd7b3069fde9ff677f27814

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=sha256:5d9d1083c4c1c66e9df9ae2bfee33f084524774eb64e5794b14905cf131a3a9c

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

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=2026-08-12T21:08:06.655242Z digest=sha256:08683a553d26a3e01d167ccbdb68849ef135164c8a71b406bb7cc77eb57d6448

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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verified fuzzy
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=sha256:31c9d961c552c41d2ac08a9cc079f9de1ba660f8f979e74845baa8a8682afb71

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=sha256:0680430544be0fbfde54832432dd1268eeaeb3ba53fac3902d258cdba465e243

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:e6d4dfb04414c83daf843f17bf3b3134552cb33ce9f3ba832772b10716e3bd90

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=sha256:887fb12c41956b8365376a524b0ce44b9474629884677f0445848ffa5bc7f88d

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=sha256:106727e37c6b73629aed6163181fe423ccb62453f277d1beea14c897084e5df8

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:b1b4cbea44a6d2374d10779ddecfecd3943319a4c14ae0e114eddebaa3e609f4

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=sha256:1acbb329717e00fd95015b0a7a5a55c039749bd3df2ad6c539aa0c6e6fa9a058

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=sha256:067694d1900874c2e5151e3d5f7e8af008fe2a416b742f99a0946cbba558d534

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:f63cff434cbbf391bad603d05a997cdedcee6a4ab253b256694f8a4265336567

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:bf72f9fbae77cdf9acb65f4577fd3f633e7177a6a4cbfad66fa82de9edb0478f

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=sha256:2549e1d28f2344c6975ea68adfd29d6a1a1cc10ff4946205d61c5d6cd326c58e

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

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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=sha256:7d82336e7ac3c6268e2b5386b4381ca2ae55ac115ecc2f34f2fad0fc92dbe704

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=sha256:20b94b7905ba5de3809422443254df3943dc122ded722ee04e33197336f45924

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=sha256:912c0e303972b98dd359a0c2c52abb6da2c5cfd5350865a82295023485b8ce09

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:f66c3d2ceaacf38cc42a1531da622b14f69ccbfbbc65e270130d847305c27fa5

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:e21d150606a2c17a2bac71278e234411b9c9ce28a8a66ed1515c22681a87d94a

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=sha256:586c7905801a7a238f5a1d6ee9b05e2267520637f9d39975d8173f15daae4318

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:d7144a0e055933482034bd80c2f5cf3f9d9a26f5fc55625331ea101f213e7ddc

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:fa0ceb5ace6e8ddd7cde4d3463e5722e6fb89dff08b4a2e82c1cb9f96447c3ed

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=sha256:67598e99adad0bc7b5ed780dfb8189f734e744d2d8aebb1cdf37f566b8ab1030

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:f94687b590ee63ace50814e194f903cd01829366ffcc51d1b0fa169f7e6e8d66

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:b992ed3bb465ecc034b1e3336387126401677bf6a5af5b96b5bb6cc409afbe2c

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=sha256:90c9498362104a29d587b30e9c0271b9fc10eb15d9d76043c9bf228eaeac67d2

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:c4f42bf708306d028893a6a1a14de2d58b88e38e912d8d2fb1eb9163c41cc149

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=sha256:9ae223403ab9f33209d1548b6f2ce6007d2da2cabcc832c71f76672c29e932d3

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:bde69a4b4cb3abd5722137e0ab9dca0e08978273dbe9d0037a7d2c5ccd5b3df4

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

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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=sha256:57c84ad7c19fab1d91f25132cfa3e44a0020a51e852c34aa63dfc1aad936ba1d

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=sha256:5c5c3ee6ad83f344746b04eb269cfef1a07ae8bc0821cab39fd18b265137eec5

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=sha256:0354e05e6a929f883f4dc604aa5d5d5cc4e6f1b445583a1cffe7fdcb26a3a512

Pith citing papers

No inbound Pith citation observations are available.