Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2008.10400.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:36:30.288587Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T19:01:17.615879Z
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 a3f900be-559b-43db-ac63-31120b7a52b2 · inbound
Solving MNIST with a globally trained Mixture of Quantum Experts An Ensemble of Simple Convolutional Neural Network Models for MNIST Digit Recognition
Reference 46
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8edacbcd-92a2-4c64-b84a-b311894494d4 · inbound
Hardware-aware vs. Hardware-agnostic Energy Estimation for SNN in Space Applications An Ensemble of Simple Convolutional Neural Network Models for MNIST Digit Recognition
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79c6e6f5-3743-4e3b-9fa4-25f2095c2e50 · inbound
Bayesian perspectives for quantum states and application to ab initio quantum chemistry An Ensemble of Simple Convolutional Neural Network Models for MNIST Digit Recognition
Reference 137
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08c4efaf-fe2d-4108-94ca-1fcfd90b2543 · inbound
Flow Matching with Arbitrary Auxiliary Paths An Ensemble of Simple Convolutional Neural Network Models for MNIST Digit Recognition
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.