Paper Citation Record · LEDGER

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models

As of 7 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 2 inbound Pith citation observations for arXiv:2506.18945.

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

pith.paper-citation-record.v1
2506.18945 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:28:39.546006Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:55:29.871982Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:38:55.907553Z

Reference resolution

51 of 51 outbound references displayed

verified exact1
verified fuzzy10
unresolved39
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c2e5c7fc-2e17-4363-9324-75755b70c0ae · outbound

This paper cites Outrageously large neural networks: The sparsely-gated mixture-of-experts layer.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Outrageously large neural networks: The sparsely-gated mixture-of-experts layer

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:44.979010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 99c4a7e3-8cd8-4dc5-b20e-b4feff0570e2 · outbound

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

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:31.647217Z

Source-reported events for the cited work

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Observation 9624da2d-01f2-46b7-9c29-718195ca7464 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.JMLR, 23(120):1–39, 2022.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.JMLR, 23(120):1–39, 2022

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:44.707477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c97ffde9-8185-4707-a5d6-1743bd9a087c · outbound

This paper cites Designing effective sparse expert models.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Designing effective sparse expert models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:31.945458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ed5d377-dfff-4e89-a5b0-f0351e8ba39e · outbound

This paper cites Mixture-of-experts with expert choice routing,.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Mixture-of-experts with expert choice routing,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:44.437373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8df91a3a-1cfb-48a2-82bb-5ffa813a6e56 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:32.664859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59b84119-e053-4a4d-adce-a74b07898bf5 · outbound

This paper cites The llama 4 herd: The beginning of a new era of natively multimodal ai innovation,.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models The llama 4 herd: The beginning of a new era of natively multimodal ai innovation,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:32.786670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c285bd3-33ac-439e-a7e1-498761978bf3 · outbound

This paper cites Qwen3: Think deeper, act faster, 2025.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Qwen3: Think deeper, act faster, 2025

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:44.221001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e07658b8-f36b-4a3f-9ae3-cac2cf06717c · outbound

This paper cites Mixtral of Experts.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Mixtral of Experts

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:33.234928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 745757ee-4e3c-46db-8b89-6b76c81562b7 · outbound

This paper cites OLMoE: Open Mixture-of-Experts Language Models.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models OLMoE: Open Mixture-of-Experts Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:33.425506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c64192ec-c6f4-4ddf-8afb-6c4c77c63b57 · outbound

This paper cites Scaling Vision with Sparse Mixture of Experts.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Scaling Vision with Sparse Mixture of Experts

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:33.600109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f5cf16c-76f7-4b7a-a3de-20e2dbd3525f · outbound

This paper cites Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:33.747690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab0ce862-3641-43fd-9ce8-d63ad246e22e · outbound

This paper cites Sparse Universal Transformer.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Sparse Universal Transformer

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:33.936497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36da8a23-bc4b-46e0-aba0-047a60344f1d · outbound

This paper cites MoEUT: Mixture-of-Experts Universal Transformers.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models MoEUT: Mixture-of-Experts Universal Transformers

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:34.076021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2eb4e68-720b-4a35-abd5-b310d0be96c8 · outbound

This paper cites Layerwise Recurrent Router for Mixture-of-Experts.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Layerwise Recurrent Router for Mixture-of-Experts

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:34.249286Z

Source-reported events for the cited work

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Observation d76280d7-1143-40cd-979c-6fc26888ab05 · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:34.584975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0349a25e-0e6e-40b9-addf-23b68f313e94 · outbound

This paper cites Uni- versal transformers.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Uni- versal transformers

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:34.686935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eac84fb0-450e-4b9a-b3d9-2004912c31d5 · outbound

This paper cites SlimPajama: A 627B token cleaned and deduplicated version of RedPajama.https://www.cerebras.net/blog/ slimpajama-a-627b-token-cleaned-and-deduplicated-version-of-redpajama,.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models SlimPajama: A 627B token cleaned and deduplicated version of RedPajama.https://www.cerebras.net/blog/ slimpajama-a-627b-token-cleaned-and-deduplicated-version-of-redpajama,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:43.905656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fc0b14a4-7b7e-4494-a92b-c81758895e40 · outbound

This paper cites MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:35.100407Z

Source-reported events for the cited work

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Observation b3357a78-b701-4b11-b33b-8e7438e6ea7c · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:35.234317Z

Source-reported events for the cited work

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Observation dc61abf0-218c-4caf-abc3-bc94c1432097 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:35.378795Z

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Observation 5553fffc-f057-4bd8-b033-09956fe0174f · outbound

This paper cites PIQA: Reasoning about Physical Commonsense in Natural Language.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models PIQA: Reasoning about Physical Commonsense in Natural Language

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:35.505062Z

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Observation 14e54e1d-3304-4556-8ef7-d4b2885ebcc6 · outbound

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

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:35.667813Z

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Observation a96bca6b-40bb-4e2d-a4c7-945b229aa3a2 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models HybridFlow: A Flexible and Efficient RLHF Framework

Reference 26

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Observation 3d91c030-5a5a-4e7b-b30b-dfe948fac538 · outbound

This paper cites Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:35.987367Z

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Observation 2026f2a2-2869-4fe9-967b-fd39828041d7 · outbound

This paper cites A little depth goes a long way: The expressive power of log-depth transformers, 2025.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models A little depth goes a long way: The expressive power of log-depth transformers, 2025

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:36.135050Z

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Observation da4c0c36-e9a8-4290-92ff-b42a21c0a56c · outbound

This paper cites Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:36.244747Z

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Observation 7915ee3f-fbbe-4f60-8eeb-c05889ba1ef9 · outbound

This paper cites Adaptive mix- tures of local experts.Neural computation, 3(1):79–87, 1991.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Adaptive mix- tures of local experts.Neural computation, 3(1):79–87, 1991

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:36.364813Z

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Observation 1d76f402-9817-4067-b550-ff9cb09cf938 · outbound

This paper cites DeepSeek-V3 Technical Report.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models DeepSeek-V3 Technical Report

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:36.515869Z

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Observation 02a3d0b2-6fe4-4e83-a979-08ec8dc5c359 · outbound

This paper cites Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models

Reference 32

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Observation 5abe97d4-36fd-4af0-b673-355fc3c5599d · outbound

This paper cites Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models

Reference 33

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Observation e9ceffcc-b4bd-4677-b535-ab5f4764cd34 · outbound

This paper cites End-to-end algorithm synthesis with recurrent networks: Ex- trapolation without overthinking.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models End-to-end algorithm synthesis with recurrent networks: Ex- trapolation without overthinking

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:43.597133Z

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Observation b894cccb-94c6-4f0b-b3a7-0d295259f541 · outbound

This paper cites Rethinking deep thinking: Stable learn- ing of algorithms using lipschitz constraints, 2024.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Rethinking deep thinking: Stable learn- ing of algorithms using lipschitz constraints, 2024

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:43.416544Z

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Observation 611b6296-51d7-4fec-8305-3786f7dde063 · outbound

This paper cites Bartoldson, Bhavya Kailkhura, Abhinav Bhatele, Jonas Geiping, Avi Schwarzschild, and Tom Goldstein.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Bartoldson, Bhavya Kailkhura, Abhinav Bhatele, Jonas Geiping, Avi Schwarzschild, and Tom Goldstein

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:43.190030Z

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Observation 0b418a3f-fe67-4214-9e23-b22169bd0069 · outbound

This paper cites Adaptive Computation Time for Recurrent Neural Networks.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Adaptive Computation Time for Recurrent Neural Networks

Reference 37

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Observation 36fd7760-872d-4227-898f-4568ae83c46a · outbound

This paper cites Albert: A lite bert for self-supervised learning of language representations.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Albert: A lite bert for self-supervised learning of language representations

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:42.927797Z

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Observation fc0a77b4-76af-4f65-ab56-e20f068a3a51 · outbound

This paper cites Zico Kolter, and Vladlen Koltun.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Zico Kolter, and Vladlen Koltun

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:42.693840Z

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Observation d6593343-b748-48ea-9aa8-283e3e39b7fe · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 40

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Observation a533b46f-9467-4ecc-8bb3-4f6eb89ee874 · outbound

This paper cites When reasoning meets compres- sion: Benchmarking compressed large reasoning models on complex reasoning tasks.arXiv preprint arXiv:2504.02010, 2025.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models When reasoning meets compres- sion: Benchmarking compressed large reasoning models on complex reasoning tasks.arXiv preprint arXiv:2504.02010, 2025

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:37.939715Z

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Observation eb7cf60a-3a4b-4a68-9e3c-2ec9c02fd515 · outbound

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Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Unresolved cited work

Reference 42

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Observation 91cbbbbf-083d-4497-8161-60f744d8a934 · outbound

This paper cites Learning to control fast-weight memories: An alternative to dynamic recurrent networks.Neural Computation, 4(1):131–139, 1992.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Learning to control fast-weight memories: An alternative to dynamic recurrent networks.Neural Computation, 4(1):131–139, 1992

Reference 43

Resolution: verified exact; doi, observed 2026-08-06T23:28:40.224883Z

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Observation 79291616-ecab-42db-b32a-0973c9a075a4 · outbound

This paper cites Long short-term memory.Neural Comput., 9 (8):1735–1780, November 1997.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Long short-term memory.Neural Comput., 9 (8):1735–1780, November 1997

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:38.513027Z

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Observation d63f6d2e-1528-4e97-b98e-121aaf041eac · outbound

This paper cites Lessons on parameter sharing across layers in transformers.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Lessons on parameter sharing across layers in transformers

Reference 45

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This paper cites Depth-adaptive transformer.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Depth-adaptive transformer

Reference 46

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This paper cites Reducing transformer depth on demand with structured dropout.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Reducing transformer depth on demand with structured dropout

Reference 47

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This paper cites SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 48

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Observation 5cf4af6b-aab9-4089-b0bf-649aaeae541a · outbound

This paper cites The devil is in the detail: Simple tricks improve systematic generalization of transformers.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models The devil is in the detail: Simple tricks improve systematic generalization of transformers

Reference 49

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Observation ef3a5e4d-7966-4683-b002-b82a71311f56 · outbound

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Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Self-Delimiting Neural Networks

Reference 50

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

This paper cites Mixture-of-Experts with Expert Choice Routing.

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

Reference 2022

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Observation 1775567f-56d7-49cf-977a-782f3fdb8389 · outbound

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Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Unresolved cited work

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:34.959524Z

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Observation d5e80e00-4d1a-46bd-9377-c364bae9c6cc · outbound

This paper cites an unresolved cited work.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Unresolved cited work

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:32.899699Z

Source-reported events for the cited work

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Pith citing papers

Observation decfffa8-7372-45d7-acdd-f3e2eaad3d63 · inbound

Mixture of Raytraced Experts cites this paper.

Mixture of Raytraced Experts Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models

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From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning cites this paper.

From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models

Reference 97

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