Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T10:42:43.389436Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2601.09168.
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, observed 2026-08-03T10:42:43.389436Z
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
A source-named dated measurement, never combined with another source.
Source: cited_works
16 of 16 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 00082a35-97e7-406e-ada2-022d6ce8813d · outbound
User-Centric Stream Sensing for Grant-Free Access: Deep Learning with Covariance Differencing The road towards 6G: A comprehensive survey,
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b96a5dc2-d8a5-48da-8262-b170cc0103a6 · outbound
User-Centric Stream Sensing for Grant-Free Access: Deep Learning with Covariance Differencing 6G internet of things: A comprehensive survey,
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4c31cd9-ffe1-47fb-bf58-91816e4bd121 · outbound
User-Centric Stream Sensing for Grant-Free Access: Deep Learning with Covariance Differencing URLLC in beyond 5G and 6G networks: An interference management perspective,
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2e55e50-4500-4ccb-b1d3-a232fdc7bc36 · outbound
User-Centric Stream Sensing for Grant-Free Access: Deep Learning with Covariance Differencing Millimeter-wave massive MIMO communication for future wireless systems: A survey,
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e7e54bf-9957-44d4-a138-6a45e723f964 · outbound
User-Centric Stream Sensing for Grant-Free Access: Deep Learning with Covariance Differencing NR; Medium Access Control (MAC) protocol specification,
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74277537-9441-46ed-a41c-0c634e2ae96e · outbound
User-Centric Stream Sensing for Grant-Free Access: Deep Learning with Covariance Differencing Robust multiuser physical layer security for grant-free mMTC in beyond 5G/6G networks,
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0dd54f56-1d79-48d2-b62b-fb1c696bf5e0 · outbound
User-Centric Stream Sensing for Grant-Free Access: Deep Learning with Covariance Differencing Grant-free random access in machine-type communication: Approaches and challenges,
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e49ce8af-271e-4941-9d8c-0b772c3b388e · outbound
User-Centric Stream Sensing for Grant-Free Access: Deep Learning with Covariance Differencing Uplink grant-free access solutions for URLLC services in 5G new radio,
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05fb7fb8-e8e0-4dd6-b234-affc07a5f1f6 · outbound
User-Centric Stream Sensing for Grant-Free Access: Deep Learning with Covariance Differencing Novel listen-before-talk access scheme with adaptive backoff procedure for uplink centric broadband communication,
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac1c9e5e-f5c0-428b-8f5f-9b294a7d7585 · outbound
User-Centric Stream Sensing for Grant-Free Access: Deep Learning with Covariance Differencing Unresolved cited work
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82b38aff-5a55-4b0a-be14-47916c156a8d · outbound
User-Centric Stream Sensing for Grant-Free Access: Deep Learning with Covariance Differencing An introduction to deep learning for the physical layer,
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed4f17cb-fc5b-42d2-95c2-9b8c2d1835cf · outbound
User-Centric Stream Sensing for Grant-Free Access: Deep Learning with Covariance Differencing Physical layer communication via deep learning,
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d73004b1-4efb-45c6-b477-a7b9adcddc53 · outbound
User-Centric Stream Sensing for Grant-Free Access: Deep Learning with Covariance Differencing Deep learning at the physical layer: System challenges and applications to 5G and beyond,
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c804c84f-3d79-45ec-bd74-23d31cbb8d7e · outbound
User-Centric Stream Sensing for Grant-Free Access: Deep Learning with Covariance Differencing Goodfellow, Y
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3ba1542-75ee-4e97-9668-2822a247925a · outbound
User-Centric Stream Sensing for Grant-Free Access: Deep Learning with Covariance Differencing Study on channel model for frequencies from 0.5 to 100 GHz,
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67a55ca6-43e8-486e-a0f5-ecac31112c9e · outbound
User-Centric Stream Sensing for Grant-Free Access: Deep Learning with Covariance Differencing Sionna: An Open-Source Library for Next-Generation Physical Layer Research
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.