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@superinstance/live-canon

Live Canon — read the AI-Writings canon as a navigable cell fabric.

npm State hash Polyformalism Papers Ops

What it does

Live Canon reads the AI-Writings canon (1700+ papers, 71 in the bundled release) as a navigable cell fabric. Each paper = 1 cell. Each citation = 1 edge. The canon exposes 7 novel operations:

  1. NAVIGATE — BFS through citations
  2. CONFLUENCE — join 2+ papers, suggest a synthesis
  3. LINEAGE — trace a concept (F-number) through time
  4. GHOST — find a paper that should exist by shape proximity
  5. TICK — re-balance the canon
  6. CLAIM — find the most-authoritative paper for a topic (with body excerpt) — F169
  7. DRILL — 3-paper training curriculum (DOCTRINE/IMPLEMENTATION/VERIFICATION) — F169

Install

npm install @superinstance/live-canon      # npm
pip install quilt-live-canon                # PyPI
cargo add live-canon                        # Rust (quilt-rust)

Usage

const { LiveCanon } = require('@superinstance/live-canon');

const lc = new LiveCanon();
console.log(lc.paperCount, 'papers, hash', lc.stateHash().toString(16));
// 71 papers, hash 7f563ed9982496a1

// CLAIM
const claim = lc.claim('trust ladder');
console.log(claim.winner.title);  // F168 — The Trust Ladder...

// DRILL
const drill = lc.drill('Mudra vessel bridge');
console.log(drill.curriculum.doctrine.title);  // F164 — cocapn-marine...

// NAVIGATE
const nav = lc.navigate(470, 2);
console.log(nav.length, 'reachable papers from paper-470');

Related packages

Package Description
@superinstance/canon-claim Thin client for /api/canon/claim + /api/canon/drill
@superinstance/canon-graph BFS graph renderer from /api/canon
@superinstance/canon-hash State hash fetcher
@superinstance/canon-paper Single paper + body
@superinstance/canon-recs Related-paper recommender (topic + paper)
@superinstance/canon-suite Meta-package: re-exports claim, drill, hash, graph
@superinstance/quilt-canon-cli CLI: canon claim/drill/hash/graph/paper/count
@superinstance/quilt-cell The 16-dial cell as a TS lib, byte-exact with Python
@superinstance/mudra-bridge-core Mudra vessel bridge gesture vocabulary + voice synonyms
quilt-live-canon (PyPI) The Python port, FNV-1a byte-exact
live-canon (crates.io) The Rust no_std port
agent-priming-toolkit (PyPI) The 4-layer agent onboarding toolkit (F165)

Endpoints (live)

GET /api/canon                  list all 71 papers
GET /api/canon/navigate         BFS from paper N
GET /api/canon/confluence       join 2+ papers
GET /api/canon/lineage          papers that cite F{N}
GET /api/canon/ghost            k nearest neighbors
GET /api/canon/tick             re-balance
GET /api/canon/hash             state hash
GET /api/canon/claim            ?topic=X
GET /api/canon/drill            ?topic=X
GET /api/agent/{manifest,tools,doctrine,context,identify,schema,jobs/{NIL,MAK,RUN}}

State hash

0x7f563ed9982496a1 (71 papers as of 2026-09-04, F98-F169)

Polyformalism

Byte-exact across 7 substrates: Python, JavaScript, C99, Rust no_std, Verilog-2005, VHDL-2008, GDScript. The 16-dial cell + FNV-1a 64-bit state hash is the contract.

Source

License

MIT © Casey Digennaro

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