hypertensor-core — HyperTensor Geometric Core
Riemannian geometry primitives for transformer analysis, compression, hallucination detection, and geodesic trajectory computation.
From the HyperTensor project (Papers I–XVIII).
Install
pip install hypertensor-core
Modules
| Module | Description |
|---|---|
GeodesicMetric |
Riemannian metric tensor, Christoffel symbols, geodesic integration |
HallucinationGuard |
Four-condition hallucination boundary detection |
GenerationMetrics |
Token-collapse, geodesic half-life, topological compression |
Quick Start
from hypercore import GeodesicMetric, HallucinationGuard
# Build a Riemannian metric from hidden states
metric = GeodesicMetric(k_manifold=32)
metric.fit(hidden_states)
# Compute geodesic distance between two points
d = metric.geodesic_distance(h_a, h_b)
# Check if a generation is likely hallucinated
guard = HallucinationGuard(coverage_radius=0.15)
is_hallucination, reason = guard.check(
query_projection=query_k,
nearest_trajectories=trajectories,
jury_confidence=jury_J,
)
Advanced
For the full HyperTensor stack including AxiomGauge, ThermalRank, OnlineOja, TreeDrafter, and safety red-team modules, install the main package:
pip install hypertensor
License
MIT — see LICENSE
1 maintainer
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