Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AI and Deep Learning for Terahertz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.09839.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T23:20:15.299676Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T20:06:10.579029Z
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 7564ec40-0497-4f83-9713-8e82ff17a5ca · inbound
Large Language Model Enabled Multi-Task Physical Layer Network cites this paper.
Large Language Model Enabled Multi-Task Physical Layer Network AI and Deep Learning for Terahertz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:20:15.299676Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a28e4a58-667c-4b5e-b16b-3fe28c9e3b54 · inbound
A look at adversarial attacks on radio waveforms from discrete latent space cites this paper.
A look at adversarial attacks on radio waveforms from discrete latent space AI and Deep Learning for Terahertz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:42:05.159437Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45cc55da-1106-4e44-8797-a1aae533444a · inbound
When AI Meets Terahertz: A Survey on the Symbiosis of Artificial Intelligence and Terahertz Networks cites this paper.
When AI Meets Terahertz: A Survey on the Symbiosis of Artificial Intelligence and Terahertz Networks AI and Deep Learning for Terahertz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:06:10.583516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.