Statistically Meaningful Geometry and Gauge Symmetry Breaking: A Geometric Foundation for Scientific Discovery and Intelligence Emergence
arXiv 2607.05436•40e3342111aa1a028ad4d3d061d4ad7f96b3a105c3e75cd95a74bf61edcf9df6
GNSSLLMsUWB-sensingbiosecuritydistributed-computemachine-learningmodel-compressionmulti-gpuoffline-rlprotein-designrobustnesssafetytestingtheorytime-series-forecasting
Paper metadata
- arXiv ID
- 2607.05436
- Version
- Not specified by this published record
- Category
- Computer Science — Machine Learning (cs.LG)
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Evidence and limitations
- Source ID
- arxiv_cs_lg
- Record identifier
- 40e3342111aa1a028ad4d3d061d4ad7f96b3a105c3e75cd95a74bf61edcf9df6
- Enrichment time
- 2026-07-08T08:52:11Z
- AI-assisted enrichment
- Yes
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