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Create config.json

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  1. config.json +67 -0
config.json ADDED
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+ {
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+ "model_type": "hv_acausal_memory",
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+ "version": 1,
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+ "dependencies": ["numpy"],
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+ "primitive": {
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+ "representation": "sparse ternary (±1/0)",
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+ "default_D": 5000,
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+ "default_nnz": 200,
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+ "default_max_anchors": 2000,
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+ "similarity": "weighted cosine"
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+ },
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+ "mechanisms": {
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+ "forget_gate": {
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+ "beta_base": 0.02,
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+ "beta_max": 0.30,
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+ "decay": "exp(-beta * dt) applied per step",
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+ "pressure": "n_active / max_anchors"
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+ },
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+ "resurrection": {
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+ "threshold": 0.3,
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+ "boost": 0.5,
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+ "trigger": "cosine similarity between reminder and dead anchor's key"
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+ },
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+ "acausal_prefetch": {
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+ "partial_query_keep_fraction": "user-specified",
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+ "similarity_restricted_to_known_dims": true
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+ },
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+ "retrieval_boost": 0.5
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+ },
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+ "capacity_bound": {
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+ "formula": "N ≈ D / (2 log D)",
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+ "value_at_D_5000": 290,
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+ "applies_to": "noise-free recall",
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+ "with_noise": "effective bound is larger"
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+ },
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+ "storage_estimate": {
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+ "dense_bytes_per_anchor": "2 * D",
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+ "sparse_bytes_per_anchor": "2 * nnz * 3",
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+ "at_D_5000_nnz_200": {
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+ "dense_kb_per_anchor": 9.77,
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+ "sparse_kb_per_anchor": 1.17,
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+ "anchors_in_187KB": 160
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+ }
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+ },
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+ "benchmark_results": {
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+ "noise_free_retrieval": 1.0,
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+ "noise_p_0.2_retrieval": 1.0,
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+ "noise_p_0.5_retrieval": 0.0,
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+ "capacity_noise_free_N_4000": "degrades below 1.0",
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+ "capacity_p_0.2_N_4000": 1.0,
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+ "exact_resurrection_rate": 1.0,
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+ "partial_resurrection_rate_keep_0.5": 0.7,
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+ "acausal_top1_keep_0.5_no_noise": 1.0,
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+ "checks_passed": 16,
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+ "checks_total": 16
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+ },
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+ "source_notes": {
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+ "issue": "XuanJi #70",
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+ "title": "Evolutionary Plugin Ecology — Hyper-NSV module",
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+ "claims_in_source": [
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+ "187 KB memory footprint",
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+ "acausal retrieval",
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+ "forget-gate prevents nostalgia loop"
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+ ],
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+ "this_implementation": "numpy-only reference with capacity, retrieval, and mechanism benchmarks"
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+ }
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+ }