Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A Bayesian Tensor Approach to Enable RIS for 6G Massive Unsourced Random Access. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-bayesian-tensor-approach-to-enable-ris-for-6g-massive-unsourced-random-access
MLA“A Bayesian Tensor Approach to Enable RIS for 6G Massive Unsourced Random Access.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-bayesian-tensor-approach-to-enable-ris-for-6g-massive-unsourced-random-access.
BibTeX@misc{4ortxyz_a-bayesian-tensor-approach-to-enable-ris-for-6g-massive-unsourced-random-access_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Bayesian Tensor Approach to Enable RIS for 6G Massive Unsourced Random Access}}, year = {2026}, url = {https://4ort.xyz/entity/a-bayesian-tensor-approach-to-enable-ris-for-6g-massive-unsourced-random-access}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Bayesian Tensor Approach to Enable RIS for 6G Massive Unsourced Random Access — https://4ort.xyz/entity/a-bayesian-tensor-approach-to-enable-ris-for-6g-massive-unsourced-random-access (retrieved 2026-05-24)
