Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:28:53.702929Z
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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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.