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Paper Citation Record · LEDGER

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters

As of 6 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.03229.

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

pith.paper-citation-record.v1
2607.03229 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T03:59:36.809043Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

35 of 35 outbound references displayed

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External citation measurements

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Outbound references

Observation 7654f548-e2c3-45c6-801c-c4c6ecf33686 · outbound

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

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24) , pages =

Reference 1

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:4532ee64fc2641cccefae12c9a2e0519219590d55007a158945c7ebd89406d1a

Observation aed6006f-f981-4af7-b1a5-e5f566e1be2d · outbound

This paper cites 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =

Reference 2

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:c0e3689df8316577725189ed3a3bc44b8db49e94f3281fb1643775969c0c39c2

Observation 3a283a14-456a-44f0-96a2-9b09aa1cd215 · outbound

This paper cites Gomez and Lukasz Kaiser and Illia Polosukhin , title =.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Gomez and Lukasz Kaiser and Illia Polosukhin , title =

Reference 3

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:3599d29785b8ab72d9ab172a5eec3c162cfbbc6f7bf970b58b47bef78adf6fbb

Observation 9f25d879-8bef-42c0-80bc-04947005e4ed · outbound

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

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters International Conference on Learning Representations , year =

Reference 4

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:88ae39cd033a21e41a101beba5a396c85e1526aac5ae31a6ddbccf285520207b

Observation f55f3d52-9368-47cd-a178-6375beb96321 · outbound

This paper cites Medical Image Computing and Computer-Assisted Intervention , pages =.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Medical Image Computing and Computer-Assisted Intervention , pages =

Reference 5

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:138eefb00ae40fc4b2abc49e328ecf214dbc37ba4b3110b34ba76dd3f56e0fde

Observation 9e94071c-e9e1-48a1-b779-d57c10213df4 · outbound

This paper cites International Conference on Computer Vision , pages =.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters International Conference on Computer Vision , pages =

Reference 6

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:692f6da09e90036e9f5ce95e94659f1f8a6498d12cceb5564470d2f91dfa6ef5

Observation 00252181-15f8-4be0-b49a-d4c0dbb8221f · outbound

This paper cites Corrado and Rajat Monga and Kai Chen and Matthieu Devin and Mark Mao and Marc'Aurelio Ranzato and Andrew Senior and Paul Tucker and Ke Yang and Quoc V.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Corrado and Rajat Monga and Kai Chen and Matthieu Devin and Mark Mao and Marc'Aurelio Ranzato and Andrew Senior and Paul Tucker and Ke Yang and Quoc V

Reference 7

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:fc310a46e1c0535b271a014a348b5d8f4d5e6132a54c225953a3a25615b0d88e

Observation e7448514-ff97-409d-a495-cb61c04d20d1 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 8

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Observation fd3f7511-1aa3-41ed-a2f2-6a6962204c2f · outbound

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

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Journal of Machine Learning Research , volume =

Reference 9

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:f1e8f4b057a67ce1839d6fe624b285cf45a59f0018f397eaec9246d10a060aef

Observation e1c03fbe-cb9b-42f8-ad3a-2d09f8a1552a · outbound

This paper cites Proceedings of the VLDB Endowment , volume =.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Proceedings of the VLDB Endowment , volume =

Reference 10

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:45ebd161c2b6ce55b5c7657ab6e758caf9f53f5df1e3750a2c9d65341bc98356

Observation d47ffc32-0888-48fc-8be7-db311509e235 · outbound

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

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Proceedings of Machine Learning and Systems , volume =

Reference 11

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:379dfb68e98faf3a3d1fb299150a30ec71da6aad3762b4f86fd5dfe267f5cec3

Observation 42f89c13-b7fc-4c99-b0ac-ea713b1105e9 · outbound

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

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters International Conference on Learning Representations , year =

Reference 12

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Observation 975c3389-3a21-4760-bdfc-fefb45ae3961 · outbound

This paper cites Valiant , title =.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Valiant , title =

Reference 13

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Observation 39077d97-8cb8-47ac-a707-e4d47f7340b0 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , articleno =.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Proceedings of the 41st International Conference on Machine Learning , articleno =

Reference 14

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:549b414949da463188e0f94536af0d862ac5f1ff280f8f4ca387c421ba067954

Observation ad49e6d7-b9c2-47bf-a250-78fce6fc6438 · outbound

This paper cites Proceedings of the ACM SIGCOMM 2025 Conference , pages =.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Proceedings of the ACM SIGCOMM 2025 Conference , pages =

Reference 15

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:883421f5fa1c747bafd58b7e7ca14ebbeff4a4dedec891ecb2411fccdf5de0c4

Observation 96f86a66-6a43-4356-82e3-854767b14283 · outbound

This paper cites Proceedings of the 2025 USENIX Conference on USENIX Annual Technical Conference , articleno =.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Proceedings of the 2025 USENIX Conference on USENIX Annual Technical Conference , articleno =

Reference 16

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:967eb2c8a6c48018eb08fd3ce246e51dc699edbf6ef862d803b46aeb4eb1d4b7

Observation eaeaca93-5c20-4387-9ea6-d5309cb67988 · outbound

This paper cites Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2 , pages =.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2 , pages =

Reference 17

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:f63f7bfe176616f4bfbeda75237e37c14aa9e12ca7edebbfff6fe7d1026f5623

Observation 0842a9f8-3bc3-4898-ba63-7603a7990ff9 · outbound

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

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Proceedings of the International Conference on Machine Learning , pages =

Reference 18

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:12e3a2b6b656869308ff45ffb1eac6470dc1f8c38a027f82bbca379735e5be6c

Observation f4b1af24-862c-4ae7-a2c1-48a11308a9f7 · outbound

This paper cites Le and Yonghui Wu and Zhifeng Chen , title =.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Le and Yonghui Wu and Zhifeng Chen , title =

Reference 19

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:829c2d0111042fd58acfb501f22cc0cd2d806ae09cba5778236fc0df4ad28c51

Observation ff6ef0bd-ba22-4849-afc8-92ef4a02ccab · outbound

This paper cites International Journal of High Performance Computing and Networking (IJHPCN) , volume=.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters International Journal of High Performance Computing and Networking (IJHPCN) , volume=

Reference 20

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:dafddad445a8500e06bf513a53e8e0dea30610ec5f6f199b97fd6d0937ebc06e

Observation a0a9c731-5a6c-44f9-b0da-2751ffbe1859 · outbound

This paper cites Bulk Synchronous Parallel.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Bulk Synchronous Parallel

Reference 21

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:443ebd3010582db7225fd8c1a8d418fefc26e4522f9039049da4d5e7d9b4143f

Observation 17c7e7ce-118f-4487-8c8b-fff7e7a4a473 · outbound

This paper cites Advanced Parallel Processing Technologies (APPT) , series =.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Advanced Parallel Processing Technologies (APPT) , series =

Reference 22

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:5acf3e6ce51f9a253de7ad4a2956346975c3d85a2db2d144f9efa9595f94af69

Observation 02bb31e4-d1eb-46db-bb95-45f6a6d43f7d · outbound

This paper cites , title =.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters , title =

Reference 23

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:02fadb97b55f2f3ae7dfa1528940be235c538dd089f86dd3a9cde0aac9285f6c

Observation 99b8b611-5f0e-40b1-a9a0-8f7acf57d9a8 · outbound

This paper cites Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC '23) , year =.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC '23) , year =

Reference 24

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:c3ad48658c1e65302f48d25c519dc1c83a29d8d0cbf3938966c6a06609475a31

Observation f87520ae-2f4a-4144-9f02-f388d7cf26b2 · outbound

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

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 25

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:cc881117d0539d7042bf3d4ec31a4a207fc7d2d288178484288dceb746efc7a9

Observation 23217402-b112-443a-9712-77feb9a01ae4 · outbound

This paper cites ACM Transactions on Programming Languages and Systems (TOPLAS) , volume =.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters ACM Transactions on Programming Languages and Systems (TOPLAS) , volume =

Reference 26

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:6f5de150bf854534b783fe9dcf1a5981025b5d07ccc73851c15e53779bfb0890

Observation 2da5459d-aeca-4813-b9ad-630e968fa01f · outbound

This paper cites Proceedings of the 21st European Conference on Computer Systems (EuroSys '26) , year =.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Proceedings of the 21st European Conference on Computer Systems (EuroSys '26) , year =

Reference 27

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:2373f2218e60a871bea645ba45cd71f5638b392c975a18b7d1389849dd0d14fc

Observation 10dd5d10-0556-4506-853c-fb52d0507f3f · outbound

This paper cites The Llama 3 Herd of Models.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters The Llama 3 Herd of Models

Reference 28

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:39d30272cae5f62be9b0b89738cd7b416a0d9d9a2592a1023e2448a06005d0e0

Observation da2aa0f4-c83f-40b2-851f-a16d9b041c8f · outbound

This paper cites Serving Large Language Models on Huawei CloudMatrix384.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Serving Large Language Models on Huawei CloudMatrix384

Reference 29

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:680d7827163cab2382b4e58fe7e6b4327272bc05aadbc60bf4d9b42e90bd3b32

Observation 2caa134d-e60f-40d6-9a25-d662d67c8e5d · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 30

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:05a76558ac1e9905de824c8da2bf0967dc1308397a7c958cd305293dc67a1763

Observation 9736875b-ac0c-4f1f-83c6-fccd5999931f · outbound

This paper cites Qwen3.5-Omni Technical Report.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Qwen3.5-Omni Technical Report

Reference 31

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:f2cd59fce0592433f5cea47711d28828f991213b7a29e995b98a2ad558cbe037

Observation 7f40a67e-b25f-4d40-b351-945dc22d03c4 · outbound

This paper cites DeepSeek-V3 Technical Report.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters DeepSeek-V3 Technical Report

Reference 32

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:56fab482fd293063b48dbccc2c73a6714708f245efc9205bd0e778471abc6f26

Observation 04bb42b3-2c26-40e5-96ab-dea18f46b761 · outbound

This paper cites arXiv preprint arXiv:2503.23830 , year =.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters arXiv preprint arXiv:2503.23830 , year =

Reference 33

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:2c4ddd2c160e1fae2d9100fbd5096faa9f0422c9d83c40f4a88a561fc1fcc0b1

Observation d27b1687-8cb7-4ec7-aeda-303807131dfd · outbound

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

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 34

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:37b4658c2e5e01e3e5add0537c4be36d2b20a40938ec9051fc56fc82fc75127e

Observation 511d2a58-c176-41fb-b351-5ff84a039600 · outbound

This paper cites Synchronization and Linearity: An Algebra for Discrete Event Systems , publisher =.

HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters Synchronization and Linearity: An Algebra for Discrete Event Systems , publisher =

Reference 35

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source=arxiv_source observed=2026-07-12T03:59:36.809043Z digest=sha256:04a5bf010314ffcb0eb70af0c6705bf7c2708378d393f250359198f27640ad10

Pith citing papers

No inbound Pith citation observations are available.