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 2026-08-29T15:54:20Z host betterwithage Windows-10-10.0.26200-SP0. torch 2.10.0+cu128. GPU NVIDIA GeForce RTX 5050 Laptop GPU arch Blackwell. pytest 12 passed in 3.80s (after torch-universal refresh). 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-maskmod", 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 0.316227766016838. 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.

GitHub source: szl-holdings/szl-maskmod @ 7e9d9e3af892d76fc1c34d280b8f516ac57c3a17. Artifacts: BENCH.laptop-blackwell.json, OPERATIONAL.json.

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

szl-maskmod

KANCHAY · Doctrine v11 · Lean 749/14/163 · Λ = Conjecture 1 (advisory) · a-11-oy.com

Kernel sources are on this repo. CPU get_kernel import-LIVE is MEASURED. GPU UNAVAILABLE (no cubin + timed run). Not a model. Not listed next to Chaski or Qantu.

Status

The cut

Every safety paper multiplies by 0.1. We multiply by 0. There is no 'a little bit unauthorized'.

Hard masks as the default, not an ablation.

Silhouette → leave → SZL

Leader	Take, then tweak
Anthropic	Hard refuse, compiled.
NVIDIA	Fused mask kernel.
Unsloth	No.

Nobody else ships this combination. That is the point of a one-of-one.

Intended use

Compose with receipt-attn.

Limitations

• Kernel.

Canonical GitHub: szl-holdings/szl-khipu

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

Thing	Label	Method / N / date / what-NOT
Kernel Hub get_kernel	import-LIVE	MEASURED 2026-08-28 2:28pm ET on kernels 0.16.1. HEAD 1e2ebef (1e2ebef3c3faec7bb9ca178e708eb5d7af8ffe69). Legal name szl-maskmod (Python module szl_maskmod). Variants: build/torch-universal (default get_kernel) and build/torch-cpu (backend="cpu"). Working calls: get_kernel("SZLHOLDINGS/szl-maskmod", revision="main", trust_remote_code=True) and the same with backend="cpu". selfcheck ok=true, chain_ok=true, chain_depth=1, max_abs_vs_sdpa_causal=2.384185791015625e-07. What-NOT: no tokens/s; no joules. CPU torch Flex-silhouette (score_mod + block-mask). GPU/Triton not claimed LIVE. Λ = Conjecture 1 (advisory).
GPU attention (Flash / Sage / Flex / Triton)	UNAVAILABLE	Not claimed LIVE. This stamp is CPU torch Flex-silhouette only.

Canonical source: https://github.com/szl-holdings/szl-maskmod

This Hub repo is the publish mirror. ATELIER owns cards. No CUDA benches. Λ = Conjecture 1. Apache-2.0.

from szl_maskmod import maskmod_attn, ReceiptChain, selfcheck
import torch
q = k = v = torch.randn(1, 2, 8, 16)
y = maskmod_attn(q, k, v, causal=True)
print(selfcheck())