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Demonstrates memory retrieval through geometry in semantic contexts, suggesting a new paradigm for understanding memory.
VASM retrieves memories by TERA coordinate rather than embedding similarity, using the closed-form product Fisher–Rao distance. This revision adds a Reference Implementation & Verification note to Data Availability: the paper's falsifiable claims are now numerically verified in the open-source harmonic-engine package (tests/test_new_math.py, passing on CPU). The metric and its conservation-manifold projection are verified in harmonic_engine/geometry.py.
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Weslyn Cory Whitehead (2026) studied this question.
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