Operational (MEASURED laptop-Blackwell)

STATUS: tests PASS. get_kernel import-LIVE. Unsloth/LoRA is the wrong tool. Receipted kernels, not silent CUDA.

Thing	Label	Method / N / date / what-NOT
tests (`PYTHONPATH=torch-ext`)	PASS	MEASURED 2026-08-29T15:54:14Z host `betterwithage` Windows-10-10.0.26200-SP0. torch `2.10.0+cu128`. GPU `NVIDIA GeForce RTX 5050 Laptop GPU` arch `Blackwell`. pytest `15 passed, 1 skipped in 2.66s`. Failed nodes: `none`. What-NOT: not a leaderboard. torch.compile fullgraph failures on Windows Blackwell (`cl is not found`) are MEASURED, not hidden.
Kernel Hub `get_kernel`	import-LIVE	kernels `0.16.1`. Default: `get_kernel("SZLHOLDINGS/szl-receipt-attn", revision="main", trust_remote_code=True)` → `True`. `backend="cpu"` → `True`. trust_remote_code=False → `ValueError` (SZLHOLDINGS is not a trusted publisher). repo_type=kernel required (kernels 0.16). What-NOT: not a weight load; do not pickle/joblib.load.
formula-tax	ADVISORY	locked-8 `F1 F4 F7 F11 F12 F18 F19 F22`. registry_count=21. Λ geomean `1.0`. uniqueness Conjecture 1 (never a theorem).
I1–I8	catalog	`I1 receipt-chain-continuity; I2 ledger-failure-shape; I3 served-run-has-model; I4 signed-columns-atomic; I5 loop-steps-positive; I6 receipt-ed25519-verify; I7 receipt-columns-consistent; I8 flywheel-lineage`. Executed by `SZLHOLDINGS/szl-invariants`. Statuses never coerced. Λ untouched.
CUDA speedup / tokens/s / joules	UNAVAILABLE	Not claimed. Receipted kernels, not silent CUDA.

from kernels import get_kernel
k = get_kernel("SZLHOLDINGS/szl-receipt-attn", revision="main", trust_remote_code=True)

szl-receipt-attn

Kernel Hub source for SZLHOLDINGS/szl-receipt-attn. Canonical GitHub: https://github.com/szl-holdings/szl-receipt-attn

STATUS: import-LIVE on CPU Kernel Hub get_kernel (kernels 0.16.1). GPU/Triton is UNAVAILABLE.

Thing	Label	Method / N / date / what-NOT
Kernel Hub `get_kernel`	import-LIVE	MEASURED 2026-08-28 2:29pm ET on kernels `0.16.1`. HEAD `42d9a31` (`42d9a31c5ca1749fca16017d73880cbc4c5050fc`). Legal name `szl-receipt-attn` (Python module `szl_receipt_attn`). Variants: `build/torch-universal` (default `get_kernel`) and `build/torch-cpu` (`backend="cpu"`). Working calls: `get_kernel("SZLHOLDINGS/szl-receipt-attn", revision="main", trust_remote_code=True)` and the same with `backend="cpu"`. `selfcheck` ok (`max_abs_vs_sdpa=0.0`, `path=torch_reference`, `chain_ok=true`). What-NOT: no tokens/s; no joules.
GPU / Triton	UNAVAILABLE	MEASURED 2026-08-28 7:01pm ET this session. Host `cursor` (Linux 6.12.94+ x86_64, Intel Xeon 8-core). `torch` `2.13.0+cu130` compiled CUDA 13.0. `torch.cuda.is_available()=false`. `nvidia-smi` UNAVAILABLE. `device_count=0`. Triton `3.7.1` present with no CUDA device. No cubin. No timed GPU run. No tokens/s. No joules.

CPU SDPA / torch_reference attention with SHA3 receipts. Triton GPU path is UNAVAILABLE.

from kernels import get_kernel

attn = get_kernel("SZLHOLDINGS/szl-receipt-attn", revision="main", trust_remote_code=True)
print(attn.selfcheck())

from kernels import get_kernel

attn = get_kernel("SZLHOLDINGS/szl-receipt-attn", revision="main", trust_remote_code=True, backend="cpu")

No CUDA benches. No speedup claim. Λ = Conjecture 1 (advisory). Apache-2.0.