Beam-Response Contrastive Learning for Transmitter-Side MIMO CSI Representation
2026-07-29T08:51:36Z•a1f9f601f51e3f17610dd4396ca2497546cf05df67cb75fe01a0e66b62aee68a
CSIMIMOMcElieceacademic-researcharxivbeamformingcode-based-cryptanalysiscryptanalysiscryptographygeneralized-Reed-Solomoninformation-theorykey-recoveryquantum-error-correctionreinforcement-learningsemantic-communicationuniversal-predictionwireless-communications
What happened
The document is an arXiv mathematics and information-theory RSS feed containing research on wireless communications, machine learning, quantum-code decoding, universal prediction, information theory, estimation, and code-based cryptography. One paper presents a practical attack on high-rate McEliece variants using generalized Reed–Solomon secret codes and weight-2 masking, with distinguishers that can enable key recovery. The remaining entries are primarily benign academic research, including wireless adversarial-user detection and semantic communication, but do not report exploitable software
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_math_it
- Record identifier
- a1f9f601f51e3f17610dd4396ca2497546cf05df67cb75fe01a0e66b62aee68a
- Enrichment time
- 2026-07-29T08:51:36Z
- AI-assisted enrichment
- Yes
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.