Paper Citation Record · LEDGER

CompeteSMoE -- Effective Training of Sparse Mixture of Experts via Competition

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.02526.

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

pith.paper-citation-record.v1
2402.02526 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:28:53.702929Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T06:55:28.727134Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 59b2eb58-168b-46c6-808f-7472d60e26a0 · inbound

Mixture of Experts (MoE): A Big Data Perspective cites this paper.

Mixture of Experts (MoE): A Big Data Perspective CompeteSMoE -- Effective Training of Sparse Mixture of Experts via Competition

Reference 137

Resolution: unresolved; no resolver link, observed 2026-08-10T18:56:37.681866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09deff6c-b76a-4633-9d1c-e1d8cbc0d151 · inbound

On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation cites this paper.

On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation CompeteSMoE -- Effective Training of Sparse Mixture of Experts via Competition

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T10:14:21.584560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3556a21c-2f4a-4912-8f0b-2d1d4446012f · inbound

Tight Clusters Make Specialized Experts cites this paper.

Tight Clusters Make Specialized Experts CompeteSMoE -- Effective Training of Sparse Mixture of Experts via Competition

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:55:19.557538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 831efb16-5a97-4f81-a1bb-f8879cc5ec62 · inbound

Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures cites this paper.

Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures CompeteSMoE -- Effective Training of Sparse Mixture of Experts via Competition

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:53.702929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68d5f31c-14b0-4398-ba93-db6532d68bc8 · inbound

Dendrograms of Mixing Measures for Softmax-Gated Gaussian Mixture of Experts: Consistency Without Model Sweeps cites this paper.

Dendrograms of Mixing Measures for Softmax-Gated Gaussian Mixture of Experts: Consistency Without Model Sweeps CompeteSMoE -- Effective Training of Sparse Mixture of Experts via Competition

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-04T09:56:32.280124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06ef333c-dc1c-48c6-8cba-5d4feaf8bfa0 · inbound

Expert Merging in Sparse Mixture of Experts with Nash Bargaining cites this paper.

Expert Merging in Sparse Mixture of Experts with Nash Bargaining CompeteSMoE -- Effective Training of Sparse Mixture of Experts via Competition

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T09:21:50.318705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eba4202-aa8f-4c58-a5b4-edd01fdcb1fb · inbound

Convergence Rates for Latent Mixing Measures in Infinite Homoscedastic Location-Scale Mixture Models cites this paper.

Convergence Rates for Latent Mixing Measures in Infinite Homoscedastic Location-Scale Mixture Models CompeteSMoE -- Effective Training of Sparse Mixture of Experts via Competition

Reference 95

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:50:55.250128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2761d56a-e9b8-4c0d-88ab-c37b88cbb400 · inbound

Mixture-of-Control: State-Aware Fine-Tuning for Transformer-based Models cites this paper.

Mixture-of-Control: State-Aware Fine-Tuning for Transformer-based Models CompeteSMoE -- Effective Training of Sparse Mixture of Experts via Competition

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T06:55:28.729420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1b15a1f7-6a2b-4465-a235-622ede8b8ffa · inbound

Partial Differential Equation Barriers to Identifiability in Infinite Mixture Models cites this paper.

Partial Differential Equation Barriers to Identifiability in Infinite Mixture Models CompeteSMoE -- Effective Training of Sparse Mixture of Experts via Competition

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T04:45:35.876314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.