Paper Citation Record · LEDGER

Mixture-of-Experts with Expert Choice Routing

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 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 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:39:52.698430Z

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
unresolved0
parse uncertain0
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 2026-08-06T06:34:29.942622+00:00.

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 2026-08-06T06:34:29.942622+00:00.

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.

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.

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.

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.

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.

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.

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 2026-08-06T06:34:29.942622+00:00.

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 2026-08-06T06:34:29.942622+00:00.

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 2026-08-06T06:34:29.942622+00:00.

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 2026-08-06T06:34:29.942622+00:00.

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 2026-08-06T06:34:29.942622+00:00.

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 2026-08-06T06:34:29.942622+00:00.

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 2026-08-06T06:34:29.942622+00:00.

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 2026-08-06T06:34:29.942622+00:00.

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 2026-08-06T06:34:29.942622+00:00.