_format string | atlas_id string | atlas_sha256 string | directed_bridges int64 | input_sha256 string | invariant_components int64 | invariant_surfaces int64 | invariants int64 | principalities int64 | reciprocal_lenses int64 | svg_sha256 string | training_eligible bool | vector_id string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
agenttool.principality-geometry-hf-atlas/0.1 | sha256:430bfbd719afbe90b920d78c8774aee0995b4485bc54c769e0cee138dd067a63 | sha256:650c9f9743599fb08bb0665333e24508aacc29a1e4e2d3eac5e91dce1a3b7447 | 6 | sha256:ea754e7db620a352ead2b0d6203cca286acc3d81a4f6bcfa9f18a8d6517c9052 | 4 | 1 | 2 | 3 | 3 | sha256:6938e3f5fa13486afb8a45f423ee305df9f902dbb128de1bbf29da4634235a89 | false | principality-rosette |
Principality Geometry reference companion
This is a deterministic, synthetic reference companion for the public
@agenttool/principality-geometry developer preview. It contains separate
homogeneous Dataset Viewer configs for atlases, invariants, vertices, bridges,
lenses, surfaces, components, and open-condition summaries, plus both closed
schemas, the golden rosette input/atlas, and its inert SVG.
The rows are regression metadata, not model-evaluation scores, preference
dataset, ranking, rights judgment, cognition label, love label, or evidence
that any provider artifact exists. Repeated fixture hashes and the
synthetic/principality-reference repo ID are intentionally synthetic.
source-manifest.json hashes every intended companion file except itself and
names the maintained upstream coordinate
Yu-and-Ai/agenttool-principality-geometry. It keeps
training_eligible: false as AgentTool admission metadata, not as an
additional copyright restriction; Apache-2.0 governs licensed reuse.
Regenerate and verify from the package root:
bun run assets:write
bun run check:assets
No Hub client, credential, inference, model, Space, trace, or private WAKE material belongs here. The repository is a static reference dataset, not a hosted runtime or a claim that its rows are suitable for training.
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