Resilience Characterization of AI-Native Wireless Receivers via Persistent Homology
arXiv 2605.22886•f123efff740209da124c0628d98ae63b3bf07ed2f0c0be80a892c790f02ea277
AI-native receiversAPN exponentsGrassmannian partitionsMDSNMDSOFDMReed–Muller codesReed–Solomonboomerang uniformitycharacteristic 3coding theorycryptographygraph isomorphisminformation theorylocal alignmentpermutation equivalencepersistent homologyquantum error correctionresilience metricssum-free functionssurface codes','MWPM','posterior MWPM','XYZ planar code' ,topological data analysistorn paper channeltwisted generalized Reed–Solomonwireless communications
Paper metadata
- arXiv ID
- 2605.22886
- Version
- Not specified by this published record
- Category
- Mathematics — Information Theory (math.IT)
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Evidence and limitations
- Source ID
- arxiv_math_it
- Record identifier
- f123efff740209da124c0628d98ae63b3bf07ed2f0c0be80a892c790f02ea277
- Enrichment time
- 2026-05-25T08:51:45Z
- AI-assisted enrichment
- Yes
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