Information Accessibility Limits in Structured NP Search
2026-05-05T08:51:42Z•3cc6d7a52a100728dad65a041caa5cb059bcbbf27cff741082e9e7283bca26bb
6GBD-RISFTNLDPCNiho-functionsRISaggregation-learningatomic-modelsboomerang-cryptanalysischannel-estimationcoding-theorycommunication-efficiencycryptographyfederated-learninginformation-theoryneural-receiversprivacy-preserving-MLreinforcement-learningremote-controlsecure-aggregationsoft-coveringsplit-learningstatistical-physicswireless-communications
What happened
This document is an arXiv RSS batch (multiple new submissions) covering theoretic and applied research across information theory, communications, coding, and machine learning. Key items: an information-theoretic hardness result on locating sparse violations in structured NP search (accessibility limits); a survey of split and aggregation learning for foundation models in 6G (privacy/communication tradeoffs); improved rate–distance upper bounds for LDPC codes; RIS optimization and scaling laws for multi-operator systems (BD‑RIS vs conventional RIS); deep‑learning neural equalizers for highly‑re
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_math_it
- Record identifier
- 3cc6d7a52a100728dad65a041caa5cb059bcbbf27cff741082e9e7283bca26bb
- Enrichment time
- 2026-05-05T08:51:42Z
- AI-assisted enrichment
- Yes
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