Status: SOFTWARE / REFERENCE / TEST FIXTURE. Not a production model.

chakana

This repository contains a small NumPy reference artifact: evidence-class crossing silhouette: MEASURED/SIGNED/MODELED kept separate. The broader organ remains roadmap work. The synthetic archive is present; earlier statements that this repository had no weights are superseded.

Intended use

Inspect synthetic artifacts and exercise software fixtures. The archive does not include a packaged loader or config.json in this repository. from_pretrained compatibility and hosted inference are unverified.

Artifact evidence

chakana.npz is present (3,219 bytes). SHA-256:

3849772ee86fe09e8752e98250573564de66e814231b50c36e7d29b5b6c3dbd5

The archive hash matches TRAINING_RECEIPT.json. Its arrays were inspected with numpy.load(..., allow_pickle=False); numeric values were finite.

Array	Shape	Data type
w1	[12, 16]	float64
b1	[16]	float64
w2	[16, 3]	float64
b2	[3]	float64
holdoutAcc	[]	float64
seed	[]	int64

A matching unsigned receipt establishes local artifact consistency. Training metrics remain reported synthetic results; this check does not independently reproduce training or establish deployment, general intelligence, or production readiness.

Reported training

The repository receipt reports seed 20260721, 2000 steps, synthetic accuracy 0.588333, and loss 0.820603. These values were read from the receipt and were not independently rerun. They do not establish field performance or authority to make operational decisions.

Evidence boundaries

• Artifact bytes and receipt hash: checked at the pinned repository revision.
• Training and evaluation: reported synthetic evidence only.
• Production deployment, runtime correctness, and energy: unverified.
• Proven trust: false in the published training receipt.
• Lambda uniqueness remains Conjecture 1 OPEN, not a theorem.

Apache-2.0. Copyright 2026 SZL Holdings · Stephen P. Lutar Jr. · ORCID 0009-0001-0110-4173.