ReceiptAgent-Nano

A synthetic four-class policy surrogate for inspecting advisory ALLOW, WARN, BLOCKED, and ESCALATE outputs.

Artifact: Bare NumPy weight archive · Stage: Synthetic test fixture

Explore in Command Lab · Build · Evidence

Before you use it

• Keep the deterministic rule_check decision authoritative; the ESCALATE class does not establish a runtime retry loop.
• The archive has no packaged Hub loader or config.json. The complete inference contract remains unqualified.
• Reported synthetic agreement does not establish production accuracy or a substitute for the larger ReceiptAgent model.

Technical details and evidence

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

This Hub repository contains a bare NumPy archive. The loading and forward-pass implementation lives in the canonical szl_khipu package; no packaged Hub loader or config.json is shipped alongside these weights. Treat this as a software fixture until its complete inference contract is independently verified.

ReceiptAgent-Nano

Synthetic four-class policy surrogate. Escalation is a class in the reviewed implementation; this fixture does not establish a runtime retry loop.

Family. nano · Evidence. SYNTHETIC · Weights. numpy · Architecture. 24-16-8-4 MLP

Hub: SZLHOLDINGS/ReceiptAgent-Nano

Reference fixture

A small synthetic four-class reference fixture for testing policy-output schemas. Its learned predictions are advisory; they do not override the deterministic rule checker. No comparative safety or ecosystem-wide novelty claim is made.

Intended use

Test advisory four-class output schemas alongside the separately authoritative rule checker.

Reported synthetic fixture evidence

TRAINING_RECEIPT.json seed 20260721; result REPORTED. Keep the separately reviewed deterministic rule checker authoritative.

Metric	Value
receipt-reported agreement vs rule_check	0.905
weights	receipt_agent.npz receipt-reported sha256 8aca4d24c90d6159cbb2bb885c7a94822d715899437f58abe69fb5c9664a1381

The related demo documents an application-specific POST /api/infer route. This archive repository establishes no hosted endpoint, served revision, or deployment guarantee. The route is illustrative application context.

Limitations

• Synthetic 24-dimensional features. Not a substitute for the 1.5B agent.
• The reviewed implementation defines class indices 0=ALLOW, 1=WARN, 2=BLOCKED, 3=ESCALATE, and keeps the deterministic rule_check decision authoritative. The former package summary named a different label set; that set must not be substituted here.
• The shared receipt does not bind an exact training/source revision, class mapping, held-out sample count, or split digest to this archive. Current-source inspection is not a recovered historical training contract. Agreement 0.905 is a reported synthetic result, not independently auditable production accuracy.

Honesty

Claim	Label
This card's numbers	SYNTHETIC
Energy / joules	UNAVAILABLE unless a signed meter says MEASURED
Λ uniqueness	Conjecture 1 OPEN — not a theorem
GGUF as the signed object	FALSE

Doctrine v11 LOCKED · 749 declarations · 14 axioms · 163 sorries · locked-proven 8.

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

Artifact evidence

The previous card reports receipt_agent.npz (6,014 bytes). Receipt-reported SHA-256 (not rehashed in this review):

8aca4d24c90d6159cbb2bb885c7a94822d715899437f58abe69fb5c9664a1381

The previous card reported that the archive matched the unsigned training receipt and that numpy.load(..., allow_pickle=False) found finite numeric arrays. The table below preserves that historical report. The September 30, 2026 card review read pinned text and the receipt; it did not download, rehash, or inspect the archive, and did not replay training.

Array	Shape	Data type
W1	[16, 24]	float64
b1	[16]	float64
W2	[8, 16]	float64
b2	[8]	float64
W3	[4, 8]	float64
b3	[4]	float64

An independently checked archive/receipt match could establish local artifact consistency; an unsigned digest would still not authenticate authorship or measurement. These preserved receipt and array reports establish no new training replay, independent evaluation, deployment, or production readiness.

Reviewed Hub text: immutable snapshot 463df555fee339b776b938846238327100f573ab. Reviewed publisher source: hf/ReceiptAgent-Nano/README.md at e53e3d24b22e356eb986c373aee27b3b3e7947ec. The shared unsigned TRAINING_RECEIPT.json, timestamped 2026-08-29T17:11:32.518042+00:00, enumerates four artifacts. Only its artifacts["receipt_agent.npz"] entry describes this archive; the other entries do not establish that sibling artifacts are present in this repository. The receipt does not bind its training run to the reviewed source commit.

Card authoring scope

This mirror's card is authored separately in Forge at receiptagent-nano/card/README.md. Its reviewed canonical card reference is szl-khipu@57fab7f8c3a8514d597b055cf0dfbfd3592caea5. A card/banner correction does not publish the canonical package, independently verify archive bytes, replay training, recover a historical class contract, or qualify a hosted runtime. The banner is a decorative schematic; its node counts do not specify the arrays reported above.