Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Unified AI Models for MU-MIMO Communications: A Tensor Equivariance Framework
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.09022.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:56:04.409404Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T01:09:16.378485Z
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 337435bd-b3cf-43db-a29d-eff19255a7cf · inbound
Extract the Best, Discard the Rest: CSI Feedback with Offline Large AI Models cites this paper.
Extract the Best, Discard the Rest: CSI Feedback with Offline Large AI Models Towards Unified AI Models for MU-MIMO Communications: A Tensor Equivariance Framework
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:56:04.409404Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5aaab00-f958-42d0-b11f-1d330eb22aa9 · inbound
Interference in Spectrum-Sharing Integrated Terrestrial and Satellite Networks: Modeling, Approximation, and Robust Transmit Beamforming cites this paper.
Interference in Spectrum-Sharing Integrated Terrestrial and Satellite Networks: Modeling, Approximation, and Robust Transmit Beamforming Towards Unified AI Models for MU-MIMO Communications: A Tensor Equivariance Framework
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:11:18.858817Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 271a416f-e339-4447-84b7-758c5b77642b · inbound
DMRS-Based Uplink Channel Estimation for MU-MIMO Systems with Location-Specific SCSI Acquisition cites this paper.
DMRS-Based Uplink Channel Estimation for MU-MIMO Systems with Location-Specific SCSI Acquisition Towards Unified AI Models for MU-MIMO Communications: A Tensor Equivariance Framework
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T01:09:16.477247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.