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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>
43 lines
1.2 KiB
Markdown
43 lines
1.2 KiB
Markdown
# Collatz Campaign (LLM-assisted)
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Goal: search for Collatz counterexamples or extend verified bounds.
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- Deterministic chunking; resumable via SQLite.
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- Each chunk is verified by a second pass (different arithmetic schedule).
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- Anomalies emit full "witness" traces for human audit.
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## Quickstart
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```bash
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python3 -m venv .venv && source .venv/bin/activate
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pip install -r requirements.txt
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python -m collatz.orchestrator --start 1 --end 100000000 --chunk 100000 --workers 4
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```
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## Run on multiple machines (Jetson/RPi/PC)
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```bash
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# On each device, point to the same repo folder (or sync via git pulls),
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# then run worker(s) pulling chunks from the same SQLite DB file:
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python -m collatz.worker --db ./campaign.sqlite --workers 4
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```
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Or just:
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```bash
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bash scripts/run_local.sh
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```
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## Outputs
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- `campaign.sqlite`: jobs, results, anomalies, and checkpoints.
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- `artifacts/`: CSV summaries, anomaly traces (repro inputs + partial trajectories).
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- `RESULTS.md`: rolling human-readable results.
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## What counts as "progress"?
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1. No counterexample up to N (monotone increase of checked bound).
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2. New records: largest stopping time / maximum excursion discovered with full witnesses.
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_Last updated on 2025-09-11_
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