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Paper Citation Record · LEDGER

Mixture-of-Experts with Expert Choice Routing

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 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 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 2026-08-09T14:50:57.962595Z

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-15T12:55:26.013002Z digest=sha256:20cdccd153fd1bb3629688080e07c23a3e43497c733aeb0f3536f16fe815505d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T02:48:44.900467Z digest=sha256:a4e063853a300ff829354c686651e1436b9ca4a6cd29ef3ee68860fc7717e617

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=sha256:4124ee7daebac562668510985c7544515e0b473054e058437a660b5cefbd481b

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:a497b07dc042868563b5396462db8f07fd2c6e891e17440f68a87b6933f560d0

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=sha256:0ae5ee35526cb387e224ad63e0146537a1fb46781df9dd417746e103568ea775

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:c06d93b825df737ec9a32c93a4d4ea00bc340b5e1e9de4f47ccf487ad753edde

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=sha256:8b7ec09f8fe4e0fe6fd473a8fcab393d5f77423310a4df037478fdb609b86f75

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:ce1b518b91327d862b57d43b38d74c3ed5b75d687dd125bc057de08240029185

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:dd6d3ecc4c77f9c25692a709d868afb0e40aba80f61a474d9e8122f353ccb510

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-09T19:46:13.015064Z digest=sha256:cc1b9af6a2277da7b8321b448faaf2efb353d09b928ac7203405834f427ad5b1

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T05:17:09.793360Z digest=sha256:394671c4bf62d5de3c52e2ace474f4449ec67bca7327e76e0005487bae6f5a4f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T19:10:18.888463Z digest=sha256:3262e1049694090e5d979edecf6c12ba708f00b309efe1f4c548de443227bfd5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T17:04:02.418499Z digest=sha256:a022a89124bac1933400408345a17284e47ed445fdf4cfe328ced4b0da58ebd0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T09:28:02.669459Z digest=sha256:68beb9b3b1514c40b80cc37fa138fdd93cb498c3481fe5d1a969bb07a35bd4bb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T16:43:39.796020Z digest=sha256:4a430d54b1d3a4e9bf232d56fd9df42bbf4f3cdf4618eb8f46a5321226774082

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-01T05:49:20.689248Z digest=sha256:8895d0840de37ace638d779b4b85f98cf8ad695ec27694f00877cebe22c6ac1e

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-03T22:14:30.734906Z digest=sha256:3aa5f76e6f406f7b94c80284d745bc54139474b7ddea7224ffe896bdbe3abb3c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-03T14:19:42.946992Z digest=sha256:1d7aba4c89c2144e1d1d9f2f7cf2d5d15f2d48cb45f2fb7a9e5e7ffda09e893f