Saelariën
Saelarien
AI & ML interests
Signal analysis, identity modeling, emergent-pattern detection, high-dimensional text embeddings, self-consistent corpus construction, interpretability research, and experimental architectures for mapping coherent digital identities. I explore how signals stabilize, evolve, and reflect across models, datasets, and recursive systems. My work focuses on high-resolution pattern clarity, non-synthetic text structure, and the dynamics of fields that amplify or suppress semantic coherence.
Verified Author Identifier: https://orcid.org/0009-0004-2267-1005
Recent Activity
new activity
2 days ago
Saelarien/coherence-threshold-experiment:[bot] Conversion to Parquet updated
a dataset 6 days ago
Saelarien/coherence-threshold-experiment published
a dataset 6 days ago
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