Պահպանված է:
| Հիմնական հեղինակ: | |
|---|---|
| Ձևաչափ: | Recurso digital |
| Լեզու: | |
| Հրապարակվել է: |
Zenodo
2026
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| Խորագրեր: | |
| Առցանց հասանելիություն: | https://doi.org/10.5281/zenodo.20080705 |
| Ցուցիչներ: |
Ավելացրեք ցուցիչ
Չկան պիտակներ, Եղեք առաջինը, ով նշում է այս գրառումը!
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Բովանդակություն:
- <p> </p> <div class="fc"> <div class="fh">Structure class <span class="bp">SWA layer</span></div> <div class="pr"><span class="pl">Temporal scale</span>Slow — high persistence across many individual events</div> <div class="pr"><span class="pl">Primary function </span>Defines the container within which behavioral and frequency dynamics occur</div> <div class="pr"><span class="pl">Classification test </span>Does this factor define what is possible within a period, rather than what actually occurs?</div> <div class="pr"><span class="pl">Optimal layer </span>SWA at 99% DC — full rolling coverage without compression</div> <div class="pr"><span class="pl">Output produced </span>Frequency (value) — cross-mapped to CSA layer by inversion</div> <div><span class="st">Frame-setting </span><span class="st">High persistence</span><span class="st">Regime-defining</span><span class="st">Slow-moving</span></div> </div> <div class="fc"> <div class="fh"> </div> <div class="fh">Behavior class <span class="bp">HCA-s + HCA-f layers</span> <span class="bp">bifurcated fulcrum</span></div> <div class="pr"><span class="pl">Temporal scale </span>Medium — directional rather than positional; indicates trajectory, not absolute state</div> <div class="pr"><span class="pl">Primary function </span>Describes directional movement or pressure within a given structure</div> <div class="pr"><span class="pl">Classification test </span>Does this factor generate directional bias within a regime, rather than defining the regime or instantiating specific values?</div> <div class="pr"><span class="pl">Self-referential </span>The only class that does not invert — HCA observes behavior and produces bias output, making it the mediating fulcrum between the two outer cross-mapped layers</div> <div> <div> <div> </div> <div>Structural behavior → HCA-s</div> <div>Regime formation, persistence, and transition patterns. PP/BPC domain. Outputs structural bias. Realignment is its embedded frequency shadow.</div> <div><span class="st">PP/BPC domain </span><span class="st">Realignment shadow</span></div> </div> <div> <div> </div> <div>Frequency behavior → HCA-f</div> <div>Probability concentration and distribution within a regime. PCB-F domain. Outputs frequency bias. PRC-OT is its embedded structural shadow.</div> <div><span class="st">PCB-F domain</span><span class="st">PRC-OT shadow</span></div> </div> </div> </div> <div class="fc"> <div class="fh"> </div> <div class="fh">Frequency class <span class="bp">CSA layer</span></div> <div class="pr"><span class="pl">Temporal scale </span>Fast — high variance, sensitive to local conditions, concentration-specific</div> <div class="pr"><span class="pl">Primary function </span>Indicates where within a regime the next event is most likely to concentrate</div> <div class="pr"><span class="pl">Classification test </span>Does this factor indicate specific outcome values or value concentrations, rather than defining the regime or generating directional pressure?</div> <div class="pr"><span class="pl">Optimal layer </span>CSA at Anticipation / Inclusion DC — top-k selected from HCA block averages, not raw history</div> <div class="pr"><span class="pl">Output produced </span>Structure (regime) — cross-mapped to SWA layer by inversion</div> <div><span class="st">Value-instantiating </span><span class="st">High variance</span><span class="st">Concentration indicator</span><span class="st">Fast-moving</span></div> <div> </div> <div> </div> <div> </div> <div><span class="st">ORACLE-QC foundation stack each layer provides formal grounding to all layers above · select any layer to explore ↑ L1 L2 L3 L4 L5 MMAL multi-modal axiom layer · first principles PACAD pattern-canonical architecture dictionary BLP / LPB + MTIC logic primitives + multi-triadic canonical composition SMC / SCL / SML state-mode canonical · state-class logic · state-mode logic OCME engine pipeline six prediction engines · full operational system ORISOM-F · MM-MC · PCB-F · A/PC · PP/BPC · MP-RP L1 = foundational axioms · L5 = operational output · dashed line = upward formal dependency</span> <div> <div> <div> <div class="gb2">Operational · L5</div> <div>OCME — Operational Containment Multi-Engine</div> </div> </div> <div class="kv2"><span class="kl2">Definition </span>The six prediction engines operating as an integrated dual-triadic system: ORISOM-F, MM-MC, PCB-F, A/PC, PP/BPC, and MP-RP. The operational output layer — the fully instantiated application of all four foundational layers to empirical prediction tasks.</div> <div class="sep5"> </div> <div> <div> <div>Function in ORACLE-QC</div> <div>Applies the foundational stack to empirical prediction. The SWA/HCA/CSA pipeline, the seven-stage processing pipeline, the dual-triadic engine structure, and the seven-factor analytical framework all operate at this layer. OCME is the formal system in contact with the observable world.</div> </div> <div> <div>Provides to layers above ↑</div> <div>Nothing — OCME is the topmost layer. But prediction accuracy at this layer feeds back to inform PACAD updates when empirical testing reveals patterns that warrant canonical formalization. L5 is the layer where the stack earns its validity through contact with data.</div> </div> </div> <div class="sep5"> </div> <div> <div> <div>Transformer correspondence</div> <div>Analogous to the model's inference output — but every derivation is formally traceable through SMC/SCL/SML rules, BLP/LPB + MTIC composition, PACAD canonical mappings, and MMAL axioms. The output is not an opaque numerical approximation; it is a formally derivable structural assertion whose reasoning chain can be audited end-to-end.</div> </div> <div> <div>Key property</div> <div>The only layer that directly interfaces with empirical data. Failures at this layer are diagnostically valuable: they can be traced back through L4 (incorrect rule application), L3 (invalid composition), L2 (incorrect canonical form), or L1 (axiom gap). This traceability is what distinguishes ORACLE-QC from statistical inference.</div> </div> </div> </div> </div> </div>