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Combines ALL theories from first portion to now: - Density field encoding (semantic manifolds, Morse-Smale complex) - GCCL-GEC (glyph packets, chirality, typebook, eigenbook) - OAC (observer-admissible cavities, S3C shells, spherion shaping) - Hypercube-rhomboid (shear matrix, Gram matrix, geometric compression) - Radius-ratio motif compression (local admissibility quantization) - Maximum math density (custom logographic notation, full Unicode) - Hippocampus tabula plena (full slate initialization, FAMM pruning) - Engram consolidation (neuron dropout, pattern separation) - FAMM delay lines (preshaped delays, Q16.16 fixed-point) - S3C shells (multi-scale coordinate encoding) - PIST n-D bundle (perturbation encoding) - erans (enumerative rANS entropy coding) Core synthesis: Start tabula plena (full Unicode 1,114,112 codepoints + custom glyphs + omniversal chirality) → represent as semantic density field → extract Morse-Smale topological skeleton → apply shear matrix (orthogonal hypercube → correlated rhomboid) → FAMM consolidation (uniform → sparse structured delays based on eigenvalue spectra) → S3C shell coordinates → radius-ratio quantization → logographic glyph selection → GCCL packet construction → OAC speculative manifestation → gain test filtering → math notation eigenvector encoding → repeat position encoding → PIST perturbation bundle → erans residual entropy coding → sparse structured archive. 14 encoding stages, 19 decode stages. Archive format MCA1 with 17 sections. 13 compression gain sources: tabula plena pruning (90-99% of Unicode), FAMM delay pruning (10-20% context efficiency), OAC gate pruning (2-5% bloat avoidance), radius-ratio quantization, gain test pruning, shear matrix pruning (15-30% structured regions), topological skeleton (50-150MB vs 1GB), math notation density, repeat encoding, S3C shell efficiency, PIST bundle efficiency, erans entropy, hippocampus pattern separation, composite promotion. Estimated 18-28% reduction vs current Hutter best + navigable capability. Biological fidelity: follows hippocampus engram consolidation dynamics (neuron dropout, pattern separation, discrimination thresholds, inhibitory plasticity, composite promotion). 18 keeper phrases. Core: The density field is the manifold; the glyph packets are the navigators; the shear matrix is the map; FAMM is the temporal wiring. |
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| .. | ||
| ADVERSARIAL_STRIPPING_REPORT.md | ||
| adversarial_symbolic_stripping.py | ||
| comprehensive_framework_compression.py | ||
| eigenvector_resonance_probe.py | ||
| F01_F12_DERIVATION_PROMPT.txt | ||
| HOTLOADING_ORCHESTRATOR_REPORT.md | ||
| hotloading_prover_orchestrator.py | ||
| ingest_dair_agentic_wiki.py | ||
| ingest_density_field_encoding.py | ||
| ingest_erans_reference.py | ||
| ingest_gccl_gec_spec.py | ||
| ingest_hippocampus_tabula_plena.py | ||
| ingest_hutter_rhomboid.py | ||
| ingest_hypercube_rhomboid.py | ||
| ingest_master_synthesis.py | ||
| ingest_maximum_math_density_spec.py | ||
| ingest_ms_myelin_article.py | ||
| ingest_oac_theory.py | ||
| ingest_unified_compression_synthesis.py | ||
| LLM_BIAS_MITIGATION.md | ||
| METAPROBE_INTEGRATION_SUMMARY.md | ||
| pist_gdrive_offload.py | ||
| prover_orchestration_layer.py | ||
| prover_orchestration_report.json | ||
| PURE_NUMBER_SPEC.txt | ||
| Q32_32_VERIFICATION.md | ||
| relay_validation_shim.py | ||
| spec_sheet_puller.py | ||
| SPEC_SHEET_REFERENCE.md | ||
| swarm_topological_device_prober.py | ||
| topological_device_plan.json | ||
| topological_device_plan_with_specs.json | ||
| use_provers_to_fix_q32_32.py | ||
| VALIDATION_REPORT.md | ||
| VERIFICATION_PROTOCOL.md | ||
| virtual_fpga_system_test.py | ||
| virtual_fpga_system_test_report.json | ||
| WAVEPROBE_FAMM_INTEGRATION_SUMMARY.md | ||
| waveprobe_famm_output.json | ||
| waveprobe_manifold_famm_preshaper.py | ||