Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T02:20:00.625923Z
Paper Citation Record · LEDGER
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training
As of 27 July 2026, this Paper Citation Record lists 53 of 53 outbound references and 4 inbound Pith citation observations for arXiv:2604.19241.
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 2026-07-27T06:30:09.085275+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-11T01:06:46.426582Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-11T01:07:44.019959Z
Reference resolution
53 of 53 outbound references displayed
- verified exact16
- verified fuzzy21
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch16
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 66da6c2a-8253-448c-90bc-d1da9e8aac1e · outbound
This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T13:06:05.187960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 7b8c0ef6-f223-4c54-b625-3e2e11f521ed · outbound
This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T12:48:40.999279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation ffe8079c-8fd9-4c9a-a816-aab4f65cdc85 · outbound
This paper cites Kimi K2: Open Agentic Intelligence.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Kimi K2: Open Agentic Intelligence
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T17:49:28.234076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 910f05ab-7cef-48c3-8bba-b180ff9a316a · outbound
This paper cites Sid-Lakhdar, Osni Marques, Xinran Zhu, Chang Meng, James W.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Sid-Lakhdar, Osni Marques, Xinran Zhu, Chang Meng, James W
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T02:22:20.753701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 07f0e3c7-1f59-4311-8ea7-3f5818b42a26 · outbound
This paper cites FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel Fusion.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel Fusion
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T02:22:20.756427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 771d797e-eda7-40e0-86a8-aae9ec9c5309 · outbound
This paper cites Dtc-spmm: Bridging the gap in accelerating general sparse matrix multiplication with tensor cores.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Dtc-spmm: Bridging the gap in accelerating general sparse matrix multiplication with tensor cores
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T02:22:20.748411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 78b4c38a-26e9-4ccf-9da0-c33aca6dd0b3 · outbound
This paper cites Yan, Haichen Shen, Meghan Cowan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, and Arvind Krishnamurthy.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Yan, Haichen Shen, Meghan Cowan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, and Arvind Krishnamurthy
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:55:12.836724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation f5d1cdc7-da21-4abd-8040-cb29f965e972 · outbound
This paper cites GC3: An Optimizing Compiler for GPU Collective Communication.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training GC3: An Optimizing Compiler for GPU Collective Communication
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:06:05.130784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 9910f007-77b5-4f4b-8e46-21b7e701b973 · outbound
This paper cites FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T16:22:09.323619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 47e2ec53-b33d-4dda-a4ee-7fceb129e196 · outbound
This paper cites Gemini 3 pro: Best for complex tasks and bringing creative concepts to life.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Gemini 3 pro: Best for complex tasks and bringing creative concepts to life
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:55:12.778932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 94199d36-dc3e-422c-a228-9b211b633178 · outbound
This paper cites Deepseek deepgemm.https://github.com/deepseek-ai/DeepGEMM.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Deepseek deepgemm.https://github.com/deepseek-ai/DeepGEMM
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:55:12.775098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation c9c0a81e-f413-4a95-a08f-a5f12a14cd8a · outbound
This paper cites EPLB: Expert parallelism load balancer.https://github.com/deepseek-ai/EPLB.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training EPLB: Expert parallelism load balancer.https://github.com/deepseek-ai/EPLB
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:55:12.829774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 13b002bd-403a-4464-a425-b21586977825 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 13
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-10T02:22:20.745599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 628cb1b5-64df-40d5-9e69-67b8842768e2 · outbound
This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T05:36:27.707517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 380db4b4-2128-4070-969b-2915da0c2679 · outbound
This paper cites DeepSeek-V3 Technical Report.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training DeepSeek-V3 Technical Report
Reference 15
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-10T02:22:20.777223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 4b2e0c17-39bf-4900-9792-037f915bec17 · outbound
This paper cites Megablocks: Efficient sparse training with mixture-of-experts.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Megablocks: Efficient sparse training with mixture-of-experts
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:55:12.801668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 13d1e92c-5aad-42e2-8675-6aaec65d3323 · outbound
This paper cites Fastermoe: modeling and optimizing training of large-scale dynamic pre-trained models.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Fastermoe: modeling and optimizing training of large-scale dynamic pre-trained models
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:55:12.816689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 36a3c88b-7e5a-4c57-a0a4-36ffe714ffa5 · outbound
This paper cites ISBN 9781450392051.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training ISBN 9781450392051
Reference 18
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T02:22:20.772321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation c8233072-779d-42b2-90e7-637e2e63a33a · outbound
This paper cites Megascale-moe: Large-scale communication-efficient training of mixture-of-experts models in production.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Megascale-moe: Large-scale communication-efficient training of mixture-of-experts models in production
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T02:22:20.792865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation cdc58660-fb0f-4d37-8ca1-a3b6209b69d2 · outbound
This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention , booktitle =.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Efficient Memory Management for Large Language Model Serving with PagedAttention , booktitle =
Reference 20
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T02:22:20.785190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 1175d644-e51a-49f6-a538-8ff8ed301a29 · outbound
This paper cites TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T13:06:05.145883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation df5c352b-b3b6-4374-a2d2-eda39f20e0d2 · outbound
This paper cites Netmoe: Accelerating moe training through dynamic sample placement.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Netmoe: Accelerating moe training through dynamic sample placement
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:55:12.826544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 468dc8cd-76d3-4096-a1e4-0501c6f32fed · outbound
This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training DeepSeek-VL: Towards Real-World Vision-Language Understanding
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:58:54.896552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 8e6b96f6-3b73-4f09-bc9b-d6f8452dec97 · outbound
This paper cites Efficient large-scale language model training on GPU clusters using megatron-lm.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Efficient large-scale language model training on GPU clusters using megatron-lm
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:55:12.795542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation c619b48e-c2da-44cb-9325-148fce09a6b2 · outbound
This paper cites Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis , articleno =.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis , articleno =
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T02:22:20.764122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation ab7678e8-03c7-44cc-a8e9-ec61309cf81b · outbound
This paper cites cuBLAS.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training cuBLAS
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:55:12.798348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation e148596f-810e-4815-bb3e-248b7bf567b9 · outbound
This paper cites Cutlass.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Cutlass
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:55:12.792629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 094117ac-38db-4cea-b24e-266bfe990cbc · outbound
This paper cites Transformer Engine.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Transformer Engine
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:55:12.785435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 46d1206e-8468-49f5-a5ba-ed06f8da8f1a · outbound
This paper cites Nvidia collective communications library.https://developer.nvidia.com/nccl.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Nvidia collective communications library.https://developer.nvidia.com/nccl
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:55:12.833907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation e8a0f742-0bce-4c4e-9b8d-1bfbd8a73121 · outbound
This paper cites NVSHMEM.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training NVSHMEM
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:55:12.813695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 951a7b2d-116a-4386-9b50-2517f7535b63 · outbound
This paper cites Cudnn.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Cudnn
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:55:12.820327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 4658d62d-678c-48d1-8b22-29e16d82ef1f · outbound
This paper cites Cutile.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Cutile
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:55:12.810611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 75f7aef6-ff81-4635-b35a-57928430dca9 · outbound
This paper cites In Proceedings of the 34th ACM SIGPLAN Conference on Programming Language Design and Implementation (Seattle, Washington, USA) (PLDI ’13).
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training In Proceedings of the 34th ACM SIGPLAN Conference on Programming Language Design and Implementation (Seattle, Washington, USA) (PLDI ’13)
Reference 33
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T02:22:20.769286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 42fd1dae-0226-49cf-99b3-58636af2d7fb · outbound
This paper cites Deepspeed-moe: Advancing mixture-of-experts inference and training to power next-generation AI scale.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Deepspeed-moe: Advancing mixture-of-experts inference and training to power next-generation AI scale
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:55:12.823485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation a89c9baf-3daf-43a5-91ab-27f9b8ac00d8 · outbound
This paper cites TACCL: guiding collective algorithm synthesis using communication sketches.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training TACCL: guiding collective algorithm synthesis using communication sketches
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:55:12.782565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation ae709182-f79a-4b0d-bd49-57fd5248c1ba · outbound
This paper cites 13 Msccl++: Rethinking gpu communication abstrac- tions for cutting-edge ai applications.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training 13 Msccl++: Rethinking gpu communication abstrac- tions for cutting-edge ai applications
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:06:05.160837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 1fd23176-d698-4b43-b71c-2e2896b225dd · outbound
This paper cites OpenAI GPT-5 System Card.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training OpenAI GPT-5 System Card
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T13:06:05.091271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 162f04d2-a0cf-4723-a9c3-dfae7f341d36 · outbound
This paper cites Look ma, no bubbles! designing a low-latency megakernel for LLAMA-1B.https://hazyresearch.stanford.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Look ma, no bubbles! designing a low-latency megakernel for LLAMA-1B.https://hazyresearch.stanford
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:55:12.840033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 9c6593ea-dde3-49fc-bad7-71e36d02c808 · outbound
This paper cites Tilelang.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Tilelang
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:55:12.804445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 4d9a3f9d-d4b2-4089-8bc0-5145c73b963b · outbound
This paper cites T., and Cox, D.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training T., and Cox, D
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T02:22:20.782611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 70424c11-e580-4bfb-8637-cc2755e560e2 · outbound
This paper cites Deepseek-ocr 2: Visual causal flow.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Deepseek-ocr 2: Visual causal flow
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:06:05.154892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 001275b3-50c1-4502-8acd-9c55eb7af1a1 · outbound
This paper cites Mirage: A multi-level superoptimizer for tensor programs.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Mirage: A multi-level superoptimizer for tensor programs
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:55:12.807709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 8d7c778e-2d3e-43e1-a02c-b76f054756b3 · outbound
This paper cites HeterMoE: Efficient Training of Mixture-of-Experts Models on Heterogeneous GPUs.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training HeterMoE: Efficient Training of Mixture-of-Experts Models on Heterogeneous GPUs
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T02:22:20.798325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 142864b2-7607-46bb-8820-533d0697d3fb · outbound
This paper cites Qwen3 Technical Report.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Qwen3 Technical Report
Reference 44
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-10T02:22:20.787842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 5dbe25a5-b271-4c12-b37a-bcb711a1a898 · outbound
This paper cites Hybridep: Scaling expert parallelism to cross-datacenter scenario via hybrid expert/data transmission.CoRR, abs/2510.19470.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Hybridep: Scaling expert parallelism to cross-datacenter scenario via hybrid expert/data transmission.CoRR, abs/2510.19470
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T02:22:20.780202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation a56ece74-955e-488a-81e0-21a99ec07a7c · outbound
This paper cites FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T13:26:34.840430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 314cc047-63c7-4e6e-98a2-028d0fcc62fd · outbound
This paper cites Moeblaze: Breaking the memory wall for efficient moe training on modern gpus.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Moeblaze: Breaking the memory wall for efficient moe training on modern gpus
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:06:05.100544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation a66710f6-37a0-466c-82b1-ea015a73c01f · outbound
This paper cites Comet: Fine-grained Computation-communication Overlapping for Mixture-of-Experts.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Comet: Fine-grained Computation-communication Overlapping for Mixture-of-Experts
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T02:22:20.774941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 689b5af6-e7a3-48db-8b59-6c774e36567a · outbound
This paper cites Kimi Linear: An Expressive, Efficient Attention Architecture.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Kimi Linear: An Expressive, Efficient Attention Architecture
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T23:49:11.451207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation f33ca7f4-8bc4-40e8-94b9-493731ae88c2 · outbound
This paper cites Deepep: an efficient expert-parallel communication library.https://github.com/deepseek-ai/ DeepEP.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Deepep: an efficient expert-parallel communication library.https://github.com/deepseek-ai/ DeepEP
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:55:12.789393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 3ad8e02c-cd63-41e6-a347-8849af033675 · outbound
This paper cites Triton-distributed: Programming Overlapping Kernels on Distributed AI Systems with the Triton Compiler.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training Triton-distributed: Programming Overlapping Kernels on Distributed AI Systems with the Triton Compiler
Reference 51
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T13:06:05.137902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation bcbaa556-f5f3-49e8-92a6-29a89e3e840b · outbound
This paper cites TileLink: Generating Efficient Compute-Communication Overlapping Kernels using Tile-Centric Primitives.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training TileLink: Generating Efficient Compute-Communication Overlapping Kernels using Tile-Centric Primitives
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:06:05.170224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 5ccfd899-b6aa-43a5-874e-954b84295ffe · outbound
This paper cites MegaScale-Infer: Serving Mixture-of-Experts at Scale with Disaggregated Expert Parallelism.
UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training MegaScale-Infer: Serving Mixture-of-Experts at Scale with Disaggregated Expert Parallelism
Reference 53
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T13:06:05.120260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Pith citing papers
Observation d48fd47b-27d9-4071-ab35-5fcddb1f043f · inbound
HyperParallel-MoE: Multi-Core Interleaved Scheduling for Fast MoE Training on Ascend NPUs cites this paper.
HyperParallel-MoE: Multi-Core Interleaved Scheduling for Fast MoE Training on Ascend NPUs UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T02:55:16.740757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 5aa9ec18-b6ca-4b5e-bed4-515bbe1a9efd · inbound
HyperParallel-MoE: Multi-Core Interleaved Scheduling for Fast MoE Training on Ascend NPUs cites this paper.
HyperParallel-MoE: Multi-Core Interleaved Scheduling for Fast MoE Training on Ascend NPUs UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T15:14:46.920212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation f3be937e-2cbe-441f-aba0-308989d8ae18 · inbound
UBEP: Re-architecting Expert Parallelism Communication Library for Production Superpods cites this paper.
UBEP: Re-architecting Expert Parallelism Communication Library for Production Superpods UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T13:44:54.959728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation a95939fd-7d5f-4ca2-a4a0-cfb70e2bfb7e · inbound
UBEP: Re-architecting Expert Parallelism Communication Library for Production Superpods cites this paper.
UBEP: Re-architecting Expert Parallelism Communication Library for Production Superpods UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-07-11T01:07:44.052559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.