
Verifiably-cited LLM text via constrained decoding
citeformer · Python
A bulletproof way to generate verifiably cited text from language models — structurally unforgeable citation markers via constrained decoding.
Python packages, docs, and reusable civic-tech tooling.

Verifiably-cited LLM text via constrained decoding
citeformer · Python
A bulletproof way to generate verifiably cited text from language models — structurally unforgeable citation markers via constrained decoding.

nyc-geo-toolkit · Python
Reusable NYC geography resources, normalization helpers, and boundary loaders for Python tools.

311 complaint analysis with a factor-factory adapter
nyc311 · Python
Python toolkit for reproducible NYC 311 complaint analysis via a typed SDK and CLI.

NYC subway accessibility — stations, outages, and tract-level need
subway-access · Python
Spatial analysis toolkit for evaluating NYC subway accessibility, reliability, and equity gaps.
nyc-mesh · Python
Python toolkit for converting NYC CityGML and LiDAR into web-ready 3D geodata.
Panel + engine framework for causal / econometric analysis
factor-factory · Python
Shared factor-model + analysis-pipeline framework with first-class jellycell integration
Plain-text notebooks with content-hashed caching
jellycell · Python
A living catalogue for reproducible analyses: plain-text notebooks, content-hashed output caching, live HTML viewer.
Looking for the full software + research showcase, case studies, and posts?
blaiseoss.com →═══════════════════════════════════════
Best viewed in Netscape Navigator 4.0at 800×600
© 2026 Blaise Albis-Burdige | hello@blaiseab.com
[ Top of Page ]