Paper Citation Record · LEDGER

MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2211.15841.

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

pith.paper-citation-record.v1
2211.15841 v1

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:46:02.060413Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T15:24:49.924239Z

Reference resolution

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External citation measurements

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Outbound references

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Pith citing papers

Observation 405b044b-1f8b-4e02-ab51-dfb4f02a968f · inbound

Mixtral of Experts cites this paper.

Mixtral of Experts MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:13:53.846793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 107736f1-d318-43c3-ba93-bbc2de294613 · inbound

Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models cites this paper.

Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-18T02:48:44.988800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4e0de21e-2c55-46f3-928f-df9205b76c01 · inbound

Hecate: Unlocking Efficient Sparse Model Training via Fully Sharded Sparse Data Parallelism cites this paper.

Hecate: Unlocking Efficient Sparse Model Training via Fully Sharded Sparse Data Parallelism MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T11:46:02.060413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d227385f-692c-4923-ac5c-c4a5c7d59f4d · inbound

Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient cites this paper.

Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T20:06:23.496812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99384180-b8a9-4ab8-a0b7-1a9605377599 · inbound

Training Sparse Mixture Of Experts Text Embedding Models cites this paper.

Training Sparse Mixture Of Experts Text Embedding Models MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T11:20:23.608575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55dafae2-588d-4e18-b4ee-64b9a1a0224f · inbound

Scaling Fine-Grained MoE Beyond 50B Parameters: Empirical Evaluation and Practical Insights cites this paper.

Scaling Fine-Grained MoE Beyond 50B Parameters: Empirical Evaluation and Practical Insights MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:58.768850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afe6b634-b2a1-4f08-ba14-063b67a85fe5 · inbound

Apple Intelligence Foundation Language Models: Tech Report 2025 cites this paper.

Apple Intelligence Foundation Language Models: Tech Report 2025 MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:26:58.583406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9eb5650d-b3eb-45be-924d-73e7de6ca05d · inbound

Maximum Score Routing For Mixture-of-Experts cites this paper.

Maximum Score Routing For Mixture-of-Experts MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T19:23:15.344590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 479a75b0-ca0a-40cb-aac4-948b76d48d76 · inbound

When Does Sparsity Mitigate the Curse of Depth in LLMs cites this paper.

When Does Sparsity Mitigate the Curse of Depth in LLMs MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T20:29:33.439034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c71d9f5f-e52f-4b4b-924c-2810a0ffde9c · inbound

Scaling Multi-Node Mixture-of-Experts Inference Using Expert Activation Patterns cites this paper.

Scaling Multi-Node Mixture-of-Experts Inference Using Expert Activation Patterns MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:36:10.790930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 52548489-bca6-4a80-a3ec-91609d656bed · inbound

TACO: Efficient Communication Compression of Intermediate Tensors for Scalable Tensor-Parallel LLM Training cites this paper.

TACO: Efficient Communication Compression of Intermediate Tensors for Scalable Tensor-Parallel LLM Training MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:06:20.725388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4171cd97-1054-4062-be7b-654dd935ea7f · inbound

RaMP: Runtime-Aware Megakernel Polymorphism for Mixture-of-Experts cites this paper.

RaMP: Runtime-Aware Megakernel Polymorphism for Mixture-of-Experts MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

Reference 10

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T23:36:31.194142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9575abc1-549e-4c21-b324-4d33f24d60a2 · inbound

Surviving Partial Rank Failures in Wide Expert-Parallel MoE Inference cites this paper.

Surviving Partial Rank Failures in Wide Expert-Parallel MoE Inference MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:11:24.699038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1235cce1-ca82-4a06-910f-d8a7456eb1cb · inbound

Safety-Oriented Routing Analysis of Mixtral MoE Under Benign and Harmful Prompts cites this paper.

Safety-Oriented Routing Analysis of Mixtral MoE Under Benign and Harmful Prompts MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:24:49.925986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ba00ad91-0f43-49e1-944c-510d54818d01 · inbound

Communication-Aware Placement and Pruning for Efficient Mixture-of-Experts Inference cites this paper.

Communication-Aware Placement and Pruning for Efficient Mixture-of-Experts Inference MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-11T08:35:22.347459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb0b9cf3-8307-4248-9806-c49d1a1b584e · inbound

A Training-Memory Regression in MLA Sequence Parallelism: Why Megatron-Core Forbids Absorption, and LAGA -- a Communication-Efficient Fix cites this paper.

A Training-Memory Regression in MLA Sequence Parallelism: Why Megatron-Core Forbids Absorption, and LAGA -- a Communication-Efficient Fix MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T17:32:37.115161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce1b3d73-d720-4578-998b-fb5c930107d3 · inbound

Route-Block Membership Selects Packed-AWQ Arithmetic: A Controlled Single-Fixture Mechanism Study cites this paper.

Route-Block Membership Selects Packed-AWQ Arithmetic: A Controlled Single-Fixture Mechanism Study MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T00:15:48.390607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abfb2628-53e8-4d81-a6a7-fcac483bb81d · inbound

Relax Within, Balance Across: Geometry-Guided Load Balancing for Vision-Language Mixture-of-Experts cites this paper.

Relax Within, Balance Across: Geometry-Guided Load Balancing for Vision-Language Mixture-of-Experts MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-05T00:38:32.637398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.