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Paper Citation Record · LEDGER

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

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 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

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:39:21.592158Z

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

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

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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verified exact
arxiv_id, observed 2026-05-23T00:42:19.012184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation efe61a44-8f14-4f41-ab51-0592652e146d · inbound

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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metadata mismatch
arxiv_id, observed 2026-05-16T13:58:59.068697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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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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no resolver link, observed 2026-08-03T23:39:21.592158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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metadata mismatch
arxiv_id, observed 2026-05-22T12:26:31.471330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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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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unresolved
no resolver link, observed 2026-07-14T20:48:19.312615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T20:48:19.312615Z digest=sha256:4148c2c7ed8d3ce30a8e3089253e964e37cc6901bc039327b72a87d7729f0800

Observation 3695164f-5bad-4ed1-96b4-bf682009edc3 · inbound

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

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arxiv_id, observed 2026-05-15T10:39:56.803464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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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

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arxiv_id, observed 2026-05-11T07:41:00.568357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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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

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arxiv_id, observed 2026-05-11T17:26:06.414441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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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

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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 2026-08-04T06:34:03.388597+00:00.

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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

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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 2026-08-04T06:34:03.388597+00:00.

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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

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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 2026-08-04T06:34:03.388597+00:00.

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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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metadata mismatch
arxiv_id, observed 2026-05-19T16:22:39.114995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-19T16:21:02.198882Z digest=sha256:ec6537244c48d1869dd23702ab508499d24cdad484fd0bc427252bb4a692a952

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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metadata mismatch
arxiv_id, observed 2026-05-21T05:59:41.044813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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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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arxiv_id, observed 2026-06-29T19:53:55.835615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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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

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arxiv_id, observed 2026-07-01T19:26:00.073483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-28T07:19:31.075298Z digest=sha256:21f5525826fe90a6cfb616766f4869306c832c508e788b9b3240ba5e94a64c72

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T21:03:43.962738Z digest=sha256:4d0e658b499542f5667180ebe69e8a4dc168ea97dfa37d71dd369880899a205c

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-26T14:22:37.596720Z digest=sha256:c862ba591e4ff338c3fb892a13df6c57ea8195a59d5891cdf0989add0bb8d51a

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-26T14:18:11.215278Z digest=sha256:6bfc9128422f144d7c5ec3b73cb3e714cf719a4f10e4c2c478a3eb349db331d6

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T01:32:40.435742Z digest=sha256:8bf6c0223cbf482d9d40e9ca488f9400f387e7f6f33869d3c0abd0f26e104eff

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

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local_arxiv, observed 2026-07-10T00:36:39.422534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-07-10T00:34:48.396458Z digest=sha256:6aba95b98eb7c71c3b8ea03462d13506e0b96f7d58b0416a7902a909cd1db443

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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unresolved
no resolver link, observed 2026-08-01T23:59:00.140541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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