Files
blackroad-operating-system/packs/research-lab/math/collatz
Alexa Louise 0108860bff feat: Add Research Lab pack with paralleled math modules
Create comprehensive research-lab pack structure with mathematical
and quantum computing modules from blackroad-prism-console:

Math Modules:
- hilbert_core.py: Hilbert space symbolic reasoning
- collatz/: Distributed Collatz conjecture verification
- linmath/: Linear mathematics C library
- lucidia_math_forge/: Symbolic proof engine
- lucidia_math_lab/: Experimental mathematics

Quantum Modules:
- lucidia_quantum/: Quantum core
- quantum_engine/: Circuit simulation

Experiments:
- br_math/: Gödel gap, quantum experiments

Includes pack.yaml manifest and comprehensive README.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-28 23:49:03 -06:00
..

Collatz Campaign (LLM-assisted)

Goal: search for Collatz counterexamples or extend verified bounds.

  • Deterministic chunking; resumable via SQLite.
  • Each chunk is verified by a second pass (different arithmetic schedule).
  • Anomalies emit full "witness" traces for human audit.

Quickstart

python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
python -m collatz.orchestrator --start 1 --end 100000000 --chunk 100000 --workers 4

Run on multiple machines (Jetson/RPi/PC)

# On each device, point to the same repo folder (or sync via git pulls),
# then run worker(s) pulling chunks from the same SQLite DB file:
python -m collatz.worker --db ./campaign.sqlite --workers 4

Or just:

bash scripts/run_local.sh

Outputs

  • campaign.sqlite: jobs, results, anomalies, and checkpoints.
  • artifacts/: CSV summaries, anomaly traces (repro inputs + partial trajectories).
  • RESULTS.md: rolling human-readable results.

What counts as "progress"?

  1. No counterexample up to N (monotone increase of checked bound).
  2. New records: largest stopping time / maximum excursion discovered with full witnesses.

Last updated on 2025-09-11