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Paper Citation Record · LEDGER

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms

As of 24 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2508.13337.

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

pith.paper-citation-record.v1
2508.13337 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:17:50.832925Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

40 of 40 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved39
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 35a96b7c-eb63-4ccb-82b0-1ee096fdc0d3 · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0d3ee052-db2c-462b-8a28-00d2333fc1c6 · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 1abf5c60-b971-482d-b794-d0b159363d71 · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 72f3c0c1-2179-4aa9-9768-cf1c2df9899a · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2099c2d8-039e-4c74-9c65-7886a443a2a9 · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 5

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 826e3352-b3d1-4839-a99b-620a0c8e21e7 · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3872d559-4808-488e-bd6e-67d963b5666d · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0ccb018d-ea24-48c4-8604-2f111261c689 · outbound

This paper cites Training Deep Nets with Sublinear Memory Cost.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Training Deep Nets with Sublinear Memory Cost

Reference 8

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Source-reported events for the cited work

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Observation 73cdeb83-b980-4419-ac10-75d4f7991084 · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 765f5325-9d6f-4f78-ae85-e0fdf69cc9ab · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 10

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7adb9306-81ad-459c-bfe7-a3d81c661cbe · outbound

This paper cites DeepSeek-V3 Technical Report.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms DeepSeek-V3 Technical Report

Reference 11

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Observation d1ddac5d-08b1-41c0-b217-01157ccd72a4 · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 58432c18-0f8c-40a2-91d2-c69588feca79 · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 48d1f5ff-27ec-4314-b66b-327b2b14dd80 · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 14

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3c0e5858-0f9e-4403-bcf6-36023d3ec511 · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 5817fe27-21d7-4b41-8cc6-1c6a6180e601 · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 16

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Observation 6f681631-a4c8-4422-871e-67a4f2ea3a13 · outbound

This paper cites Mixtral of Experts.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Mixtral of Experts

Reference 17

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Observation 596cdbb3-f64b-4e5a-8f46-e21c7dac0782 · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 18

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Observation 9bfafb04-b7d1-41b8-ae4b-3170a75bc398 · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 19

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 27cd7def-360b-4267-882d-b123741fa73f · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 20

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation bcdd4ca4-2e3b-4079-89d0-5fabed592c86 · outbound

This paper cites Dally, Steve Scott, and Dennis Abts.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Dally, Steve Scott, and Dennis Abts

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation fbcdff6e-e913-43da-b8ef-b54c7ea183e8 · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 42a0d767-81a3-4f57-8437-6b31efbf7179 · outbound

This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 24

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Observation 985ae939-c536-4cfe-b6e4-5f359b95d81b · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 25

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Observation bc2abde2-a82f-4b2c-b5aa-6158e068649f · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 26

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9a43ef9a-d218-4a04-b7aa-e46eb847d904 · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 27

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 5161b014-33a2-4b7b-b7fc-bece3421c9ab · outbound

This paper cites GPT-4 Technical Report.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms GPT-4 Technical Report

Reference 28

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Observation 6ac197e7-11ed-4247-9fa3-b46adf0e948b · outbound

This paper cites GPT-4o System Card.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms GPT-4o System Card

Reference 29

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Observation dcaa8bf7-5c4d-43cf-babb-b1bc8e2c1e57 · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 30

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Observation 0b477f5f-3bde-4aaf-b20e-a06f164bb392 · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 23c9943d-2272-4bb5-9301-956dd7d2d01a · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f9dd8194-b834-4d87-bcbe-4296614e9be2 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 33

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Unavailable: canonical work link unavailable.

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Observation 470b321f-6896-4be7-b78d-6125f590bd78 · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d6efd571-59e0-4338-9a74-b0e1159ba853 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Gemini: A Family of Highly Capable Multimodal Models

Reference 35

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Unavailable: canonical work link unavailable.

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Observation c97f5013-4fe7-4f5a-847c-94b8ed3164bf · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 36

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raw_fallback, observed 2026-08-15T17:17:51.028772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b7bede4a-f231-49ba-9c34-c90a9f408199 · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:17:51.014978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 83a2bc4b-3f3e-48c1-bde2-79cfc935d369 · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T17:17:50.822513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ee91b554-7048-40e2-b3af-010302d24b87 · outbound

This paper cites an unresolved cited work.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:17:50.986870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 511ba62f-5802-4213-b967-20cdcf700c91 · outbound

This paper cites SGLang: Efficient Execution of Structured Language Model Programs.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms SGLang: Efficient Execution of Structured Language Model Programs

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T17:17:50.832925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6aac8f9b-d894-4b05-b74b-cf9203dfbc42 · outbound

This paper cites FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving.

X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-15T17:17:50.825973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:17:50.825973Z digest=sha256:57683f49dd138d7d68b29fd235ee91041ec032946e7af55e5b6da3e8e45dc73a

Pith citing papers

No inbound Pith citation observations are available.