Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MoE-AMC: Enhancing Automatic Modulation Classification Performance Using Mixture-of-Experts
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.02298.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:13:50.213792Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T10:26:00.745856Z
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 16c8dc16-dc11-40e9-bd37-5c0fd214406e · inbound
From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications cites this paper.
From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications MoE-AMC: Enhancing Automatic Modulation Classification Performance Using Mixture-of-Experts
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:13:50.213792Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66bca93b-ba31-4597-af4c-3669bce52dc8 · inbound
Enhancing Wireless Networks for IoT with Large Vision Models: Foundations and Applications cites this paper.
Enhancing Wireless Networks for IoT with Large Vision Models: Foundations and Applications MoE-AMC: Enhancing Automatic Modulation Classification Performance Using Mixture-of-Experts
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:06:13.989753Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14d87e20-dfd9-40a1-9360-0d5242ea1852 · inbound
Automatic Modulation Classification via Green Machine Learning cites this paper.
Automatic Modulation Classification via Green Machine Learning MoE-AMC: Enhancing Automatic Modulation Classification Performance Using Mixture-of-Experts
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:26:00.748014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.