Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.09832.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:13:36.730919Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T14:35:55.561211Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation c7612188-29eb-4c7c-8af2-be3e157e19b8 · inbound
A Survey on Inference Optimization Techniques for Mixture of Experts Models Merging Experts into One: Improving Computational Efficiency of Mixture of Experts
Reference 59
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b81bcbf7-3054-4ce8-812e-954307b88469 · inbound
EfficientLLM: Efficiency in Large Language Models Merging Experts into One: Improving Computational Efficiency of Mixture of Experts
Reference 156
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1701811-b390-49bc-a8fc-820eaa5a37d6 · inbound
Exploring the Rashomon Set for Concept-Based Models Merging Experts into One: Improving Computational Efficiency of Mixture of Experts
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a76d8cbe-147b-48f4-804b-2b30e6e62be3 · inbound
EvoESAP: Non-Uniform Expert Pruning for Sparse MoE Merging Experts into One: Improving Computational Efficiency of Mixture of Experts
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.