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badd25b1b5
5 attacks, all valid: 1. K(data) uncomputable → can't claim 'Kolmogorov-optimal' 2. (alpha, beta) are free params → no universal search ordering 3. RIP bound is for compressed sensing, not combinatorial search 4. AngrySphinx is a budget controller (timeout), not search accelerator 5. Pearson coherence is linear only, wrong for nonlinear problems (Sidon) What survived: ONE universal component — Shannon-entropy pruning. If totalCost > H(data) + epsilon → skip (H is computable upper bound on K). Everything else is problem-specific. Refined framework: - IS: problem-specific search structurer with Shannon pruning + AngrySphinx budget - IS NOT: universal shortcut finder, Kolmogorov-optimal finder, search accelerator, compressed-sensing tool, or linear coherence checker The honest value: the Shannon-entropy pruning bound is universal and valid. Everything else must be instantiated per problem (is_sidon, matrix_rank, unit_distance_count). The framework structures the search — it doesn't solve it. Anti-smuggle scanner: PASSED. |
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| .. | ||
| BindingSite | ||
| CoreFormalism | ||
| PVGS_DQ_Bridge | ||
| RRCLib | ||
| SilverSight | ||
| UniversalEncoding | ||