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Paper Citation Record · LEDGER

Mixture-of-Experts with Expert Choice Routing

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2202.09368.

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

pith.paper-citation-record.v1
2202.09368 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:49:10.307264Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

59
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f1751df6-5123-4da1-a25e-2a0f75eb640e · inbound

Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts cites this paper.

Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts Mixture-of-Experts with Expert Choice Routing

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T12:55:26.050393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-15T12:55:26.013002Z digest=sha256:b95f305221dc66a0192b1409a4f5b2c558b6da61813f8c5c7910f87095bd7195

Observation 910fdcd7-f4be-40c4-99cc-3cb683218d99 · 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 Mixture-of-Experts with Expert Choice Routing

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:48:45.099870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T02:48:44.900467Z digest=sha256:e22d9e71fcda13e8e487f6296d12f6ca9fd2c7f9202f8d48715a1d43e129db03

Observation 629cc6e1-a39d-47ef-ac4a-78f4a3327ced · inbound

Memory Layers at Scale cites this paper.

Memory Layers at Scale Mixture-of-Experts with Expert Choice Routing

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T16:49:54.751347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:49:54.751347Z digest=sha256:5c7259bb7cd731c19cd6eb7b677e3e5700a68d9bb987fd09f6dd45521bcfaade

Observation 487fa7b9-974a-45bc-9f95-830f85be3280 · inbound

FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models cites this paper.

FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models Mixture-of-Experts with Expert Choice Routing

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-10T19:05:55.296446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:05:55.296446Z digest=sha256:be7dac41f3d7d2c2735d19e59266f7d5ab1e44ba18daf44a3caae12f21fb7448

Observation 012f479a-c891-47aa-87fa-3f77cbac2f10 · inbound

MJ-VIDEO: Fine-Grained Benchmarking and Rewarding Video Preferences in Video Generation cites this paper.

MJ-VIDEO: Fine-Grained Benchmarking and Rewarding Video Preferences in Video Generation Mixture-of-Experts with Expert Choice Routing

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-09T14:50:57.962595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:50:57.962595Z digest=sha256:5cde8d26ef9d91979110a5ce73db0f56545ee2ade8450fabc470188c45c0cb2f

Observation bc09c21f-86c4-4507-ad35-da43b051ed69 · inbound

Taming the Titans: A Survey of Efficient LLM Inference Serving cites this paper.

Taming the Titans: A Survey of Efficient LLM Inference Serving Mixture-of-Experts with Expert Choice Routing

Reference 142

Resolution
unresolved
no resolver link, observed 2026-08-16T05:49:10.307264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:49:10.307264Z digest=sha256:0e6d8fdbef747fc58b78a1b37ebe301cb2883b9927734233d2739fc91310a558

Observation f32abfbe-9135-4841-8578-901ad009c302 · inbound

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs cites this paper.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Mixture-of-Experts with Expert Choice Routing

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:52.698430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:52.698430Z digest=sha256:f97e776a67e3b0f6612fa8aa88b119e1c547303e53778c289152abe8c463363e

Observation 9cff3151-4226-48dc-8ee4-e16576385151 · inbound

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models cites this paper.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Mixture-of-Experts with Expert Choice Routing

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T23:28:32.306187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:32.306187Z digest=sha256:fd79fcb93c9af1475baf45f40915d0a6064320b1b330a3538c28b3e64bdcf28a

Observation be5941ef-23e5-4c87-a329-368af8cb73fe · inbound

Hecto: Modular Sparse Experts for Adaptive and Interpretable Reasoning cites this paper.

Hecto: Modular Sparse Experts for Adaptive and Interpretable Reasoning Mixture-of-Experts with Expert Choice Routing

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T21:59:50.065384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:59:50.065384Z digest=sha256:116b75132d8eb5562db4ad08856efdb7c591f424ca0d83d5acc22527db1411ae

Observation 4539bb7f-9b4e-4461-9872-ed3a9b31b915 · inbound

Neural Inhibition Improves Dynamic Routing and Mixture of Experts cites this paper.

Neural Inhibition Improves Dynamic Routing and Mixture of Experts Mixture-of-Experts with Expert Choice Routing

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:14.046907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:14.046907Z digest=sha256:b9351b0cd77ca23ee820c66cf5ead8e11ab603a46f942a239653c2e3b52c5c7d

Observation dcb4c457-3d14-4810-a4f7-d4f4eb7b5871 · inbound

HierMoE: Accelerating MoE Training with Hierarchical Token Deduplication and Expert Swap cites this paper.

HierMoE: Accelerating MoE Training with Hierarchical Token Deduplication and Expert Swap Mixture-of-Experts with Expert Choice Routing

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T21:04:51.395288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:04:51.395288Z digest=sha256:3cf74b3eb9dcefd195788a8ae88152861bf2fe901dc50f21aec240824989f4c8

Observation 8f9b061a-2a2b-4d8d-8f3b-d210d9417612 · inbound

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

Maximum Score Routing For Mixture-of-Experts Mixture-of-Experts with Expert Choice Routing

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T19:23:18.406835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:23:18.406835Z digest=sha256:8643c03ad4583a11d068c1f06ebdee9d610c1552bc394bc01fd3cf71e6c2d02f

Observation bcdbf71e-4747-4e51-ab4e-fb3743e3a3ea · inbound

Dynamic Adaptive Shared Experts with Grouped Multi-Head Attention Mixture of Experts cites this paper.

Dynamic Adaptive Shared Experts with Grouped Multi-Head Attention Mixture of Experts Mixture-of-Experts with Expert Choice Routing

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T16:32:03.233617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:32:03.233617Z digest=sha256:60be68e023f0d2cb1c527b14ce37bb886de94fa02eb957029cd9c1510cf9f5e6

Observation 993f2dd0-ce37-460e-ab78-ca226f778411 · inbound

AGoQ: Activation and Gradient Quantization for Memory-Efficient Distributed Training of LLMs cites this paper.

AGoQ: Activation and Gradient Quantization for Memory-Efficient Distributed Training of LLMs Mixture-of-Experts with Expert Choice Routing

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:31:17.135230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-09T19:46:13.015064Z digest=sha256:dcd2c99b7dc8b6049bcc1caf62b0dacc43b6338fdb505a9596cf59702623c90b

Observation efe66046-8945-488e-9313-eae38fa30fac · inbound

AGoQ: Activation and Gradient Quantization for Memory-Efficient Distributed Training of LLMs cites this paper.

AGoQ: Activation and Gradient Quantization for Memory-Efficient Distributed Training of LLMs Mixture-of-Experts with Expert Choice Routing

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:21:30.887425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-12T05:17:09.793360Z digest=sha256:b681b65fc9076dac448d076150c07e743d4c62e6f4e00e13d4547815c40e5b3c

Observation 8dba23db-554a-4727-89c2-da1e8a4d77b2 · inbound

Affinity Is Not Enough: Recovering the Free Energy Principle in Mixture-of-Experts cites this paper.

Affinity Is Not Enough: Recovering the Free Energy Principle in Mixture-of-Experts Mixture-of-Experts with Expert Choice Routing

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:51:39.209967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-09T19:10:18.888463Z digest=sha256:6a4baff8aa8bc43e10bf24d262b6afc423c4d740235e0c86c378fdb4df40ddae

Observation e49ff514-14f7-483f-a77a-a34d00b9538f · inbound

Piper: Efficient Large-Scale MoE Training via Resource Modeling and Pipelined Hybrid Parallelism cites this paper.

Piper: Efficient Large-Scale MoE Training via Resource Modeling and Pipelined Hybrid Parallelism Mixture-of-Experts with Expert Choice Routing

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-08T17:13:38.729839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T17:04:02.418499Z digest=sha256:cde74b013913d3ab4575e37676fead1d48928368b5d725546232a6d78737e3b3

Observation 8ad8ebe1-0b28-481e-9e19-7314c2a43e39 · inbound

A Minimal Bifurcation Model of Load Imbalance in a Softmax Mixture-of-Experts Router cites this paper.

A Minimal Bifurcation Model of Load Imbalance in a Softmax Mixture-of-Experts Router Mixture-of-Experts with Expert Choice Routing

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-29T10:03:17.817680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T09:28:02.669459Z digest=sha256:03b319ca022fa9fbee997f0b8499ea806ae763c5d545942c6e6e980ecee5f244

Observation 076edd99-7a63-4ef1-b434-d9ce2370dda5 · inbound

Schedule-Level Shared-Prefix Reuse for LLM RL Training cites this paper.

Schedule-Level Shared-Prefix Reuse for LLM RL Training Mixture-of-Experts with Expert Choice Routing

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:36:15.116261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T16:43:39.796020Z digest=sha256:9842261ed502f3dffcf8afb8cb339dfea061a1b6f8e3645dacd9d2f80aacae8a

Observation 0799c8c1-1208-46a1-a349-a41a93926133 · inbound

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches cites this paper.

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches Mixture-of-Experts with Expert Choice Routing

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:05:41.496288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-07-01T05:49:20.689248Z digest=sha256:e5f2238a7d640c8ac80d375092abe788d5c6264fb97f537385c603ba811cbfbe

Observation d5ebd5fa-07ce-4b8f-a77d-6ea21842b0bb · inbound

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches cites this paper.

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches Mixture-of-Experts with Expert Choice Routing

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-03T22:18:59.530506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-07-03T22:14:30.734906Z digest=sha256:65f4a68564bab165a66e59d7a5f71fb6984606d7f3b8b7290602dd579fc21f16

Observation 3d3f5a72-8fdc-4ca1-9f85-197cc3d3a3d9 · inbound

Generic Expert Coverage for Pruning SparseMixture-of-Experts Language Models cites this paper.

Generic Expert Coverage for Pruning SparseMixture-of-Experts Language Models Mixture-of-Experts with Expert Choice Routing

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:28:31.312417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-07-03T14:19:42.946992Z digest=sha256:51470bc6427ae8cc6c49e95dab5a451f218586379bd5988bf10212b9ea94e533

Observation 32714d3f-e41a-46c4-90d8-7886c02c8b33 · inbound

The Evolution of Mixture-of-Experts Architectures in Large Language Models: Routing, Topology, Load Balancing, and Expert Parallelism cites this paper.

The Evolution of Mixture-of-Experts Architectures in Large Language Models: Routing, Topology, Load Balancing, and Expert Parallelism Mixture-of-Experts with Expert Choice Routing

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-14T04:32:58.304689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:32:58.304689Z digest=sha256:b87fe93b094949e62496d957b2f093c066e2eda080c33a33fc4d25981d931568