hypertensor-core 1.0.0

HyperTensor Geometric Core — Riemannian metrics, hallucination guards, geodesic trajectory analysis

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