Paper Citation Record · LEDGER

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2402.01739.

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

pith.paper-citation-record.v1
2402.01739 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 35 of 35 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 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:46:15.171955Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

Reference resolution

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External citation measurements

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Outbound references

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Pith citing papers

Observation 04eecf6e-9d3f-4fbb-8255-ea3d37b13a86 · inbound

Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts cites this paper.

Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 18

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Source-reported events for the cited work

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Observation f67659c6-7273-469e-8866-95eb01f56ba6 · inbound

Uni3D-MoE: Scalable Multimodal 3D Scene Understanding via Mixture of Experts cites this paper.

Uni3D-MoE: Scalable Multimodal 3D Scene Understanding via Mixture of Experts OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 44

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Observation 7363a8a8-40a1-47a2-884e-84d21bf51f46 · inbound

Scalable, Symbiotic, AI and Non-AI Agent Based Parallel Discrete Event Simulations cites this paper.

Scalable, Symbiotic, AI and Non-AI Agent Based Parallel Discrete Event Simulations OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 74

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Observation b2b7a143-d814-4e89-a644-396b9c2b1c69 · 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 OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 38

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions cites this paper.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 115

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Observation 40c3c4f2-521f-40fa-83fe-7e126aecead1 · inbound

Decoupled Relative Learning Rate Schedules cites this paper.

Decoupled Relative Learning Rate Schedules OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 19

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Observation 2b0bf067-c69d-4ec8-b383-927122089b02 · inbound

DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts cites this paper.

DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 26

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Observation 8371582d-84ec-4ec6-b30c-437d0b14014e · inbound

MoGU V2: Toward a Higher Pareto Frontier Between Model Usability and Security cites this paper.

MoGU V2: Toward a Higher Pareto Frontier Between Model Usability and Security OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 33

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ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution cites this paper.

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 261

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Observation f7313c8c-ce86-4c61-b4d0-96a3517ee507 · inbound

SHMoAReg: Spark Deformable Image Registration via Spatial Heterogeneous Mixture of Experts and Attention Heads cites this paper.

SHMoAReg: Spark Deformable Image Registration via Spatial Heterogeneous Mixture of Experts and Attention Heads OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 32

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Observation a3e28a41-bcfd-4538-95d1-c3ce8c5e3651 · inbound

Scaling depth capacity via zero/one-layer model expansion cites this paper.

Scaling depth capacity via zero/one-layer model expansion OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 2018

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Observation c5609399-8d55-4f71-a376-ab33daa6f9a7 · inbound

Token-Level LLM Collaboration via FusionRoute cites this paper.

Token-Level LLM Collaboration via FusionRoute OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 25

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Observation 746641dd-321a-47a4-b1e0-df7c2505ff09 · inbound

Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook cites this paper.

Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 52

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Illocutionary Explanation Planning for Source-Faithful Explanations in Retrieval-Augmented Language Models cites this paper.

Illocutionary Explanation Planning for Source-Faithful Explanations in Retrieval-Augmented Language Models OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T10:39:56.803464Z

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Observation b6f30aa3-1ce7-47f1-bfc4-fdc65d16e7ee · inbound

Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts cites this paper.

Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:41:00.568357Z

Source-reported events for the cited work

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Observation 9f9e3f79-4d37-41ce-8333-9cf8126e5fe5 · inbound

GEM: Graph-Enhanced Mixture-of-Experts with ReAct Agents for Dialogue State Tracking cites this paper.

GEM: Graph-Enhanced Mixture-of-Experts with ReAct Agents for Dialogue State Tracking OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:26:06.414441Z

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Observation dfe12e5f-9e93-4a58-b515-dbbebf6b0ccb · inbound

MACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE Inference cites this paper.

MACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE Inference OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:51:46.415986Z

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Observation 8fef1a52-30b6-4c8a-aae1-cf1ac8fa4bbd · inbound

MACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE Inference cites this paper.

MACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE Inference OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T01:45:52.017219Z

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Observation bf9f13e8-4aea-462d-9507-0699c8934879 · inbound

UniPool: A Globally Shared Expert Pool for Mixture-of-Experts cites this paper.

UniPool: A Globally Shared Expert Pool for Mixture-of-Experts OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:26:09.436982Z

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 b838acaa-7f11-4b85-977c-5493e7e1cc93 · inbound

When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models cites this paper.

When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T01:50:51.064566Z

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 257e71f3-fb74-46ca-9f88-8cdeefe58e3f · inbound

Hierarchical Mixture-of-Experts with Two-Stage Optimization cites this paper.

Hierarchical Mixture-of-Experts with Two-Stage Optimization OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:01:15.404703Z

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 1234fad3-dbf7-4126-8e26-f8bd86f8d811 · inbound

When Does Sparse MoE Help in Vision? The Role of Backbone Compute Leverage in Sparse Routing cites this paper.

When Does Sparse MoE Help in Vision? The Role of Backbone Compute Leverage in Sparse Routing OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 57

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Observation aeb14df8-8813-4a68-b3ff-dbb7a12ea0f3 · inbound

Beyond Routing: Characterising Expert Tuning and Representation in Vision Mixture-of-Experts cites this paper.

Beyond Routing: Characterising Expert Tuning and Representation in Vision Mixture-of-Experts OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 27

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Observation 161392c1-d6cb-4098-9828-1d83089bb7ff · inbound

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts cites this paper.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 50

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Observation d225dd70-9861-492c-8625-67970b7bc18f · inbound

Hyperbolic and Evidence-Prioritized Experts for Large Vision-Language Models cites this paper.

Hyperbolic and Evidence-Prioritized Experts for Large Vision-Language Models OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T19:26:00.073483Z

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

Observation 84afe6f1-7b13-4a59-8ace-22fd00022fb3 · inbound

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation cites this paper.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:14.780717Z

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Observation 2c750892-6de0-4a26-9bef-15ee67cdf7e0 · inbound

Expert-Aware Refusal Steering cites this paper.

Expert-Aware Refusal Steering OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T03:26:29.148663Z

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Observation 23fa5ac3-9ce4-410d-bfff-8ff773a9c3bc · inbound

LoopMoE: Unifying Iterative Computation with Mixture-of-Experts for Language Modeling cites this paper.

LoopMoE: Unifying Iterative Computation with Mixture-of-Experts for Language Modeling OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T06:36:44.147172Z

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Observation b6af2f2a-3b2f-45bd-8674-17c8c0ca8184 · inbound

Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance cites this paper.

Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T00:39:17.055071Z

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Observation bc5267c4-984a-4fc4-9816-fb4f4247924a · inbound

Sakana Fugu Technical Report cites this paper.

Sakana Fugu Technical Report OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 222

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T06:39:36.910826Z

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Observation 1296497b-65d8-4446-b1dd-32cdc15b6ea2 · inbound

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models cites this paper.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T06:39:37.849393Z

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Observation 3f66ca8f-0b9d-4e65-8cfb-cab226fec131 · inbound

GeMoE: Gating Entropy is All You Need for Uncertainty-aware Adaptive Routing in MoE-based Large Vision-Language Models cites this paper.

GeMoE: Gating Entropy is All You Need for Uncertainty-aware Adaptive Routing in MoE-based Large Vision-Language Models OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T15:39:56.478119Z

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Observation 5e3c1ca2-51ab-400b-bd7f-b8746f1e6738 · inbound

Modular Pretraining Enables Access Control cites this paper.

Modular Pretraining Enables Access Control OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 82

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T00:36:39.422534Z

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Observation b0430fa5-b2b4-4246-821b-f559f6905f8c · inbound

T^2MLR: Transformer with Temporal Middle-Layer Recurrence cites this paper.

T^2MLR: Transformer with Temporal Middle-Layer Recurrence OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 7

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Observation a966ca97-b0a6-489e-91fd-ebbf828bc995 · inbound

Beyond Global Routing Aggregation: Phase-Aware Expert Merging for MoE Vision-Language Models cites this paper.

Beyond Global Routing Aggregation: Phase-Aware Expert Merging for MoE Vision-Language Models OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:37.405021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.