Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.11530.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:40:32.513218Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T22:52:45.104982Z
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 33a98791-f255-49a7-854b-a8fa29a4fd53 · inbound
ResidualDroppath: Enhancing Feature Reuse over Residual Connections Learning More Generalized Experts by Merging Experts in Mixture-of-Experts
Reference 83
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f62f2b9-241b-4e84-9489-3bbf4291d4c4 · inbound
A Survey on Inference Optimization Techniques for Mixture of Experts Models Learning More Generalized Experts by Merging Experts in Mixture-of-Experts
Reference 133
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b9c76ff-412c-47db-a205-38ccd8f80098 · inbound
Expert Routing with Synthetic Data for Continual Learning Learning More Generalized Experts by Merging Experts in Mixture-of-Experts
Reference 46
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c06dd743-f450-4fb6-aa02-59c2dcfec2c2 · inbound
Mixture of Experts (MoE): A Big Data Perspective Learning More Generalized Experts by Merging Experts in Mixture-of-Experts
Reference 136
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a8670c5-b582-4441-8bea-06a2756cabbf · inbound
Spectral Souping: A Unified Framework for Online Preference Alignment Learning More Generalized Experts by Merging Experts in Mixture-of-Experts
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dd9abeb9-e557-41f2-99aa-1b338c9ed586 · inbound
dMoE: dLLMs with Learnable Block Experts Learning More Generalized Experts by Merging Experts in Mixture-of-Experts
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.