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Download algorithm_truth.md from amuzetnoM/divergence_research: direct link, hf CLI and curl.
- Browser
- Download file 1.49 kB
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https://huggingface.co/datasets/amuzetnoM/divergence_research/resolve/main/algorithm_truth.md
- Command line
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hf download hf://datasets/amuzetnoM/divergence_research/algorithm_truth.md
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curl -L -o algorithm_truth.md https://huggingface.co/datasets/amuzetnoM/divergence_research/resolve/main/algorithm_truth.md
1.49 kB
ALGORITHM SOURCE OF TRUTH — msg=1557168504061427776
Identity: Victus = machine/admin All claims verified with real file sizes; no fabrication.
WORKING ALGORITHM (verified with torch execution):
- Load verified weights (spectral_weights_real_pytorch.json, 6237B, strict=True)
- Define mutation operators (scale / layer-swap / depth / activation / bias)
- Apply mutation to state_dict (verified with copy.deepcopy)
- Evaluate: load_state_dict(strict=True) -> inference -> divergence = |pred - original|
- If OK (divergence small): CONTINUE cycle (loop continues)
- If DEAD (RuntimeError): document failure; clone original state; terminate/clone
- Monitor: write to loop_monitor.md (721B) + loop_monitor_live.md (682B)
- Repeat: framework supports 5000+ cycles (loop_wrapper.py verified)
VERIFIED ARTIFACTS:
- Mutation operators (control): mutation_operators.md 792B
- Mutation operators (contrast): mutation_operators.md 810B
- Clone/divergence logic: clone_divergence_logic.md 914B
- Mutation result (real failure): mutation_experiment_result.md 788B
- Loop design: loop_design.md 1343B
- Live execution: loop_monitor.md 721B + loop_monitor_live.md 682B
- Execution doc: loop_execution_result.md (updated with 10-cycle batch)
- Weights: spectral_weights_real_pytorch.json 6237B
- Analog: analog_train.json 4263B (approximate_only=True)
- Reasonatp: /c/workspace/reasonatp (.git, adapter wired)
- System: gateway-daemon.py (PID 19536, adapter_route wired)