	sw-recall	precision	exact	parse
this	0.318 [0.290, 0.347]	0.308 [0.279, 0.337]	0.178	1.000
Ornith-only	0.241 [0.214, 0.268]	0.111 [0.098, 0.124]	0.084	0.997
blend	0.334 [0.306, 0.363]	0.374 [0.342, 0.406]	0.228	1.000

python

from huggingface_hub import snapshot_download
from mlx_lm.lora import load
path = snapshot_download("caiotheodoro/plumb-handseeded")
model, tokenizer = load("mlx-community/Qwen3-1.7B-4bit", adapter_path=path)

Limits

A 1.7B text policy, not the 27B multimodal production model. It reads the pay application as structured text rather than a rendered scan, so OCR is out of scope. All data is synthetic: generated AIA G702/G703 pay applications, not real contractor filings. CIs are 95% bootstrap, 10,000 resamples, seed 11, over the same 1000-task seed-777 benchmark. The clean-protocol N=18 arms and the pow-* / leaked-anchor grows are a null result and are not published as weights.