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Downloads

Downloadable artifacts from the Encyclopedia of Abstractions — the scripts that compute its derived properties and (over time) data exports of the catalog.

DAG / hierarchy

  • Typed DAG export — hierarchy.jsonl — One JSON record per prime carrying identity (slug, name, type, categories, origin domain[s], aliases), the curated one_liner, the first paragraph of Core Idea, and every typed parent edge with full reason text. The whole underlying DAG — subsumption, composition (presupposes / part_of), decompose, mutual — captured in one file. Schema documented in hierarchy.manifest.json.
  • Schema manifest — hierarchy.manifest.json — Self-describing companion to hierarchy.jsonl: schema version, field definitions, edge-type vocabulary, and corpus + edge counts at build time.

Learnability

  • Learnability data export — learnability.jsonl — One JSON object per prime: slug, name, tier, curriculum order, the lowest age at which a faithful explanation is possible, all 5 age-graded explanations (ELI5/10/15/18/specialist), and 3 levels of everyday-English name (ELI5/10/15). Includes na_reasons for the 9 K-unteachable primes where some lower levels genuinely cannot be reached. Intended for LLM consumption — feed it to an assistant to build adaptive curriculum, run teach/test exercises, generate questions or worked examples, or build a learner-or-teacher game. Schema documented in learnability.manifest.json.
  • Schema manifest — learnability.manifest.json — Self-describing companion to learnability.jsonl: schema version, field definitions, level targets (word-count budgets and vocabulary constraints per ELI level), source-file hashes, tier-distribution stats, and intended-use notes.

Companion writing

  • The Nothingness Ladder — A ~16,000-word standalone essay structured as a four-rung hierarchy of what "nothing" could mean (quantum vacuum → topological vacuum → metageometric void → logical nullity). Not part of the encyclopedia catalog itself, but a worked example of the kind of cross-domain abstraction the catalog tries to surface. Linked from the About page.

Miscellaneous

  • Distinctiveness pipeline — prime_labeling.py — The re-runnable script that computes each prime's distinctiveness / neighborhood-density and the families (incremental + batch-recompute modes). See the conceptual paper Distinctiveness and the Neighborhood Structure of Abstraction Space.
  • Runtime-scaffolding experiments — raw data (projects 02–04) — Every prompt, model output, private manifest / blinded-grade mapping, coverage key, grade-set, and score from the A/B/C/B′ verb-engine, low-coverage, and faithfulness experiments, plus the re-runnable harness scripts. The reproducibility bundle behind the retrospective The Limits of Runtime Scaffolding.
  • Learnability scoring + ELI ladder — implementation bundle — The five re-runnable Python scripts behind the By-Learnability page: the curriculum scorer (Kahn's topological sort with difficulty priority queue), the ELI ladder setup + consolidator (triangulated 3-generator + 1-judge pipeline), the page builder, and the v0.5 weight-tuning experiment. Each script is single-file and dependency-free. The conceptual paper Curriculum Construction over a Prime Catalog is included, plus a README explaining how the pieces fit together and what external inputs (Kuperman 2012, Brysbaert 2014) are required.