Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z
Paper Citation Record · LEDGER
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing
As of 7 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 1 inbound Pith citation observation for arXiv:2606.04101.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-14T04:35:53.249194Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
79 of 79 outbound references displayed
- verified exact25
- verified fuzzy0
- unresolved49
- parse uncertain0
- malformed identifier0
- metadata mismatch5
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation cf8afbd3-09ab-4656-8f12-67e141a8230a · outbound
This paper cites Gulavani, Alexey Tumanov, and Ramachandran Ramjee.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Gulavani, Alexey Tumanov, and Ramachandran Ramjee
Reference 1
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bbe22d78-7f87-4fea-8f88-d265be9da37a · outbound
This paper cites 2025.AMD Helios: Advancing Openness in AI Infrastructure Built on Meta’s 2025 OCP Open Rack for AI Design.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing 2025.AMD Helios: Advancing Openness in AI Infrastructure Built on Meta’s 2025 OCP Open Rack for AI Design
Reference 2
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80a7512c-2d89-4104-a969-ad04bd04b93a · outbound
This paper cites LongBench.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing LongBench
Reference 3
- Resolution
- verified exact
- doi, observed 2026-06-28T08:11:49.679076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0416afab-cd8c-46b0-9233-bb18c8e0ff90 · outbound
This paper cites Training Deep Nets with Sublinear Memory Cost.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Training Deep Nets with Sublinear Memory Cost
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T08:11:49.711238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation dcd5ba8c-8dd9-4e7d-a89d-ef6e295e0577 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T08:09:19.921804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b98b16d3-e65e-41fb-87a0-12b6b800449c · outbound
This paper cites Xu, Huazuo Gao, Deli Chen, Jiashi Li, Wangding Zeng, Xingkai Yu, Y.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Xu, Huazuo Gao, Deli Chen, Jiashi Li, Wangding Zeng, Xingkai Yu, Y
Reference 6
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7795d99-4aea-44a0-9f10-0b1cccf5ac4c · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T08:09:19.921804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b988d56-a618-4474-bbe8-942dca06b801 · outbound
This paper cites DeepSeek-V3 Technical Report.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing DeepSeek-V3 Technical Report
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T05:26:40.128007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 928ccda0-51dd-4afb-be83-6c9a49b42f46 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 9
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d310e5d2-4bc7-4e3a-a5bf-6f8842757235 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T08:09:19.921804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0557d1a0-65bc-4d62-842f-a8acc63994bf · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T05:26:40.116283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 431c22c3-5fd0-4597-95d0-1b03ba7b5fcc · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 12
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8883b628-505a-408b-b23c-d94a10ca88e6 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 13
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76f7780a-2aa0-472f-8537-074075368924 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 14
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9be6e23f-54a9-410f-ac8b-4d015f0ea67b · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 15
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45d438f3-26df-44d4-b2c5-12d58a5c9d40 · outbound
This paper cites 2026.GLM-4.7: Advanced Agentic and Reasoning Founda- tion Models.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing 2026.GLM-4.7: Advanced Agentic and Reasoning Founda- tion Models
Reference 16
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5ba5056-2077-4b21-9b31-d2d5c71dfc26 · outbound
This paper cites FasterMoE: modeling and optimizing training of large- scale dynamic pre-trained models.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing FasterMoE: modeling and optimizing training of large- scale dynamic pre-trained models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T08:11:49.713811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d3dffff8-e3d5-4df9-b731-cc94617d208d · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 18
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82bbc973-ed0c-4af6-92b9-280d5ecf9b7a · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 19
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78516165-5bca-4913-b54c-c28a1e5e8da7 · outbound
This paper cites InProceedings of the 6th MLSys Conference.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing InProceedings of the 6th MLSys Conference
Reference 20
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3085f6f6-387a-4960-b5ce-b0a03111d162 · outbound
This paper cites Mixtral of Experts.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Mixtral of Experts
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4f379455-5fb0-4c69-90e8-090419fe8784 · outbound
This paper cites Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik R.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik R
Reference 22
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e87597d7-8869-4776-8248-8d36a35cb842 · outbound
This paper cites Megascale-moe: Large-scale communication-efficient training of mixture-of-experts models in production.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Megascale-moe: Large-scale communication-efficient training of mixture-of-experts models in production
Reference 23
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7da89712-984d-4a0e-9b8b-2eed1b354308 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 24
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d71e1c3a-63bf-4ca3-b287-594239152667 · outbound
This paper cites Gonzalez, Hao Zhang, and Ion Stoica.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Gonzalez, Hao Zhang, and Ion Stoica
Reference 25
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation beeef076-684a-4b99-8e36-097f668080f6 · outbound
This paper cites H., Gonzalez, J.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing H., Gonzalez, J
Reference 26
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5e9d8812-9c89-4728-9f78-aef632fc444f · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 27
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67988bc9-9fa4-47fa-925c-afbe6baf61b3 · outbound
This paper cites SC ’21, Association for Comput- ing Machinery, New York, NY, USA (2021).https://doi.org/10.1145/3458817.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing SC ’21, Association for Comput- ing Machinery, New York, NY, USA (2021).https://doi.org/10.1145/3458817
Reference 28
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 44e9f6d2-acb8-40c6-96a8-896c898046f1 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 29
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0234c76-e760-4635-8745-c6391c9a7d3e · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 30
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5ee2056-54fa-497c-822d-5db1864b40b3 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 31
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 533a9bb5-f0f0-48e2-b4aa-8b08e75615b3 · outbound
This paper cites Moe parallel folding: Heterogeneous parallelism mappings for efficient large-scale moe model training with megatron core.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Moe parallel folding: Heterogeneous parallelism mappings for efficient large-scale moe model training with megatron core
Reference 32
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ae75a8c6-9fcd-40e8-bee8-1878ea778b07 · outbound
This paper cites Improving network availability with protective reroute.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Improving network availability with protective reroute
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2915fa2e-646c-45da-864c-01e2ab1e96b6 · outbound
This paper cites LAER-MoE: Load-adaptive expert re-layout for efficient mixture- of-experts training.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing LAER-MoE: Load-adaptive expert re-layout for efficient mixture- of-experts training
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T08:11:49.697876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9bf7dda2-2829-45f3-86e4-958b8fd4692f · outbound
This paper cites UCCL-EP: Portable Expert-Parallel Communication.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing UCCL-EP: Portable Expert-Parallel Communication
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T08:11:49.707344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a9372b82-b588-40f4-adff-c81994bc29d2 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 36
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f6ac7fe-be5b-4fda-b2bb-61131353c4cf · outbound
This paper cites 2026.Driving vLLM WideEP and Large- Scale Serving Toward Maturity on Blackwell (Part I).
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing 2026.Driving vLLM WideEP and Large- Scale Serving Toward Maturity on Blackwell (Part I)
Reference 37
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b248074-f50c-42cf-9942-bdd8e00eb2c7 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 38
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 18e424d8-dad5-41d9-aa88-707161824d6b · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 39
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f86ace38-47fe-4c8c-992b-ef59158e6f18 · outbound
This paper cites Lu, P., Bansal, H., Xia, T., Liu, J., Li, C., Hajishirzi, H., Cheng, H., Chang, K.-W., Galley, M., and Gao, J.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Lu, P., Bansal, H., Xia, T., Liu, J., Li, C., Hajishirzi, H., Cheng, H., Chang, K.-W., Galley, M., and Gao, J
Reference 40
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 73757e30-5a7b-4fd8-ab96-cffc5442bb37 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 41
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22710105-3327-46c0-a561-920b50b46b1c · outbound
This paper cites 2024.NVIDIA Blackwell Architecture Technical Overview.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing 2024.NVIDIA Blackwell Architecture Technical Overview
Reference 42
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e477079-7ec1-4737-9d73-b89a4a6c7103 · outbound
This paper cites 2025.NVIDIA NVLink and NVLink Switch.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing 2025.NVIDIA NVLink and NVLink Switch
Reference 43
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd7e5ebb-61bd-4b80-96a5-4a2d933e8e2b · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 44
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f8e3de4-d663-4e40-b19a-d6c86c19b7f6 · outbound
This paper cites 2026.NVIDIA Vera Rubin POD: Seven Chips, Five Rack-Scale Systems, One AI Supercomputer.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing 2026.NVIDIA Vera Rubin POD: Seven Chips, Five Rack-Scale Systems, One AI Supercomputer
Reference 45
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 877e47d5-2984-4ad4-8b9e-c21dece56151 · outbound
This paper cites gpt-oss-120b & gpt-oss-20b Model Card.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing gpt-oss-120b & gpt-oss-20b Model Card
Reference 46
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e4b23a80-bc6d-4821-99bd-be938243d7fe · outbound
This paper cites Moat: Securely mitigating rowhammer with per-row activation counters,.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Moat: Securely mitigating rowhammer with per-row activation counters,
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T08:11:49.700345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 42084e18-c639-47f5-af2d-0eb28dc8654e · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 48
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b12db7dc-812c-4d8e-bedd-cdd834b2e0a9 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 49
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 809265b2-7263-4221-9c8a-5e9252c0cfc2 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 50
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6b32e43-3664-4035-9b8c-95feba705e45 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 51
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b6d480d-a47d-4d87-87ec-7bab13f07e4a · outbound
This paper cites Generalized Slow Roll for Tensors.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Generalized Slow Roll for Tensors
Reference 52
- Resolution
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- local_arxiv, observed 2026-06-28T08:11:49.681441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 57aa2d50-5950-4b6e-a5a7-90a40136f889 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T08:09:19.921804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 70936724-4669-4871-bbdb-3467a1ec5582 · outbound
This paper cites 2025.Deploying DeepSeek with PD Disaggregation and Large- Scale Expert Parallelism on 96 H100 GPUs.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing 2025.Deploying DeepSeek with PD Disaggregation and Large- Scale Expert Parallelism on 96 H100 GPUs
Reference 54
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05a97457-8acf-4631-930f-e797550ba836 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 55
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aaf0263b-1ceb-49ea-bc0f-958b20317209 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 56
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- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00138461-1e46-407d-80a0-248f27e3b01b · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 57
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d23eabb9-1e39-48a5-812b-8b4f79439f7f · outbound
This paper cites Amitai Uzrad 17 35 Kathrin Hanauer, Monika Henzinger, Lara Ost, and Stefan Schmid.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Amitai Uzrad 17 35 Kathrin Hanauer, Monika Henzinger, Lara Ost, and Stefan Schmid
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T05:26:40.130765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 11d50405-0a3c-4a08-b27e-bb9c5caa4a6a · outbound
This paper cites ZKML: An Optimizing System for ML Inference in Zero-Knowledge Proofs.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing ZKML: An Optimizing System for ML Inference in Zero-Knowledge Proofs
Reference 59
- Resolution
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- arxiv_id, observed 2026-06-28T08:11:49.695389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 574fbb56-e993-4016-9b08-8ed7591b1669 · outbound
This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Reference 60
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T08:11:49.686245Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 88afece3-1bd3-4193-aefa-9d25ec0e8e08 · outbound
This paper cites GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Reference 61
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T05:26:40.123089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5fa55272-3b0a-489c-8b0a-2ffe397a6a73 · outbound
This paper cites UALink Consortium.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing UALink Consortium
Reference 62
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cfaeb97b-7357-4f57-9345-b5cae6701df7 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T08:09:19.921804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c92e572c-5d5a-43df-ad56-c5b5c3865194 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 64
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a368de7-7351-4625-8255-2723d1b5964b · outbound
This paper cites Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts
Reference 65
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T05:26:40.111592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4afc81e6-ee73-4119-b7e2-3282e3c43f9c · outbound
This paper cites Scalable training of mixture-of-experts models with megatron core.arXiv preprint arXiv:2603.07685.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Scalable training of mixture-of-experts models with megatron core.arXiv preprint arXiv:2603.07685
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T05:26:40.107036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 47e37024-9a9b-4b1b-9d37-4116197fc90e · outbound
This paper cites Qwen3 Technical Report.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Qwen3 Technical Report
Reference 67
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T05:26:40.105321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b395835a-4256-459f-9818-75e75b22ecf5 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T08:09:19.921804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df9c0c73-e265-4a18-9766-c53af9b23384 · outbound
This paper cites Qwen2 Technical Report.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Qwen2 Technical Report
Reference 69
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T05:26:40.118369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 06ae1261-33fa-4fd5-8b59-486d8bdeb15e · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T08:09:19.921804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c0c294c-c598-46f6-978c-1f090fbcc54a · outbound
This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Reference 71
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T08:11:49.683846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f3f6645f-01e8-4b92-bb9c-2293beebd41a · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 72
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T08:11:49.688613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 109c1224-014b-43b2-9901-260ef73ca520 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T08:09:19.921804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f603a058-64d6-4d53-9a67-2db5b7f894ac · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T08:09:19.921804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5bd1e58b-0c07-4fd4-8237-d12a82b8631f · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T08:09:19.921804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c5ff151-8805-4f3e-a98f-10b7108de064 · outbound
This paper cites Gonzalez, Clark Barrett, and Ying Sheng.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Gonzalez, Clark Barrett, and Ying Sheng
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T08:09:19.921804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f812dcbc-c649-4589-b8d6-5fb75eba24a1 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T08:09:19.921804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a83f6358-3dda-4b15-bce0-4c33b62e0764 · outbound
This paper cites an unresolved cited work.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Unresolved cited work
Reference 78
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T08:11:49.692950Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cf2e897a-cf69-4a9e-90f6-74c77b6f1086 · outbound
This paper cites Serving Large Language Models on Huawei CloudMatrix384.
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing Serving Large Language Models on Huawei CloudMatrix384
Reference 79
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T05:26:40.120807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Pith citing papers
Observation 354ecbd9-eb8d-4d1c-88d3-558b63e0b2d6 · inbound
HCRMap: Pressure-Aware Hot-Expert Residency Mapping for 3.5D MoE Chiplet Inference cites this paper.
HCRMap: Pressure-Aware Hot-Expert Residency Mapping for 3.5D MoE Chiplet Inference UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T04:35:53.249194Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.