# inference-labs-inc/n-ary_notebooks

Notebooks covering mathematical analysis of ZKP building blocks, algorithm implementations of various proof systems, and protocol optimization techniques.

Repository: https://github.com/inference-labs-inc/n-ary_notebooks
Canonical: https://ross.abutalabs.com/products/n-ary_notebooks
Language: Jupyter Notebook
License: MIT
License Family: permissive
Last push: 2026-01-20T05:42:14+00:00

## Health v2 (maintenance only)
Score: 48/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 63, release rhythm 35, longevity 38
- inputs: {"age_days": 545, "days_push": 225, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1727, forks 22 (observed 2026-08-28T04:05:28.292912+00:00)

## What it is
A collection of Jupyter notebooks providing mathematically precise, pedagogical explanations of zero-knowledge proof building blocks such as the sum-check protocol, multilinear extensions, arithmetic circuits, and the GKR protocol. It includes executable Python examples and visualizations for experimentation, not production-ready cryptographic implementations.

## Use cases
- learn how the sum-check protocol works with worked examples
- understand multilinear extensions and polynomial interpolation over boolean hypercubes
- study the GKR protocol and its relationship to circuit depth
- experiment with small-scale implementations of proof systems
- build intuition for soundness and error bounds in interactive proofs
- visualize arithmetic circuits and protocol mechanics

## When to choose
- you want to deeply understand the math behind zk proof systems
- you prefer interactive, executable notebooks over textbooks
- you are researching or teaching interactive proof protocols
- you want to prototype small examples over finite fields

## When to avoid
- you need a production-ready zk-SNARK prover or verifier
- you need a performant or audited cryptographic library
- you want a complete protocol specification rather than working notes

## Facets
- artifact type: learning-resource
- maturity: active
- function: interpreter, math, developer-tools
- domain: tutorials, mathematics
- platform: python, cross-platform
- tags: zero-knowledge-proofs, jupyter-notebooks, sum-check-protocol, gkr-protocol, multilinear-extensions, arithmetic-circuits, cryptography-education, interactive-proofs, cryptography, algorithms

## Member repositories
- inference-labs-inc/n-ary_notebooks (main) score 48

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:28.292912+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:32:17.333823+00:00, confidence not recorded.
  - readme: https://github.com/inference-labs-inc/n-ary_notebooks (fetched 2026-08-28T04:05:28.292912+00:00, sha 0f4794fd054d)
- Data as of 2026-08-30T08:39:29.467469+00:00.