waman

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

waman

This repository contains a small NumPy reference artifact: C-UAS detector silhouette: box-and-receipt or fail-closed. The broader organ remains roadmap work. The synthetic archive is present; earlier statements that this repository had no weights are superseded.

Canonical source

Canonical source: https://github.com/szl-holdings/szl-forge (kit directory waman/README.md). The card text itself is mirrored from szl-khipu/atelier/hf/waman.md. GitHub is canonical; Hugging Face is the mirror. Re-synced 2026-09-25.

Weights on this Hub ID

• OBSERVED — waman.npz (4,189 bytes) is on the Hub tree, together with TRAINING_RECEIPT.json, LICENSE, provenance.json, status.json and bom/model-bom.cdx.json (listed 2026-09-25 through the Hub file API; revision SHA not captured by this pass). It is a synthetic NumPy silhouette: a small two-layer MLP pack from a CPU/NumPy run, described by its own receipt as "synthetic silhouettes only — honest placeholders with real weights".
• UNAVAILABLE — production weights, any checkpoint of the intended organ, any loader or config.json. Intended base per the szl-forge kit: RF-DETR Nano through Large architecture (no such checkpoint is on this Hub ID; nothing to declare as base_model).
• UNAVAILABLE — TRAINING_RECEIPT.batch.json, the "full 6-organ receipt" the receipt refers to, is not on this Hub ID.

What the szl-forge kit says: waman/README.md describes the intended organ as a hawk detector on an RF-DETR Nano-through-Large architecture (never XL/2XL), with no trainer in that directory. Its skip_receipt.json records status: SKIP-NO-ADMITTED-FRAMES, weights: UNAVAILABLE, jobs: UNKNOWN, evals: UNKNOWN, publication_eligible: false, effector SIMULATED, and the claim boundary that killinchu-osint-corpus is not training-eligible.

Alias. SZLHOLDINGS/KILLINCHU-EYE is an alias of this organ (szl-forge/waman/ALIASES.md: same lane, not a second detector kit). That repository holds its own synthetic silhouette (killinchu_eye.npz) and receipt; neither repository holds detector weights.

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

waman.npz is present (4,189 bytes). SHA-256:

9b31cf28e1877fb15eb9ef5ecafb4054612dc8418d1707b3f1f164b7296ef325

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

Re-sync note (2026-09-25): the file was re-listed at the stated path and size; the SHA-256 match and the array inspection above are as stated by the card's original check and were not recomputed in this pass (the Hub file API exposes size only, and the archive was not downloaded). The receipt's stated digest is 9b31cf28e1877fb15eb9ef5ecafb4054612dc8418d1707b3f1f164b7296ef325; the receipt is unsigned.

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 0.671667, and loss 0.694394. 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.
• Intended organ (see the szl-forge kit): ROADMAP. Jobs: UNKNOWN. No job id, no held-out evaluation.
• 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.