Depth, Epistemic Gating, or Curriculum Scale?
Year: 2026
Type: preprint
Abstract: Starting from the cryptographically locked Mini Minx V5 baseline (1.812B unique parameters; 32-layer [GDN, GDN, GDN, GQA]x8 hybrid backbone + Titan 1 Gatekeeper + FG2-Titan 2 Fast-Weight Vault + TitanGraphDB, certified at 3.823 GiB VRAM across 20,480 context tokens; DOI: 10.17605/OSF.IO/VFJ4G), this study investigates the physical bottlenecks governing test-time associative memory, live contradiction override, and contextual nuance under consumer VRAM limits (< 4 GiB): 1. Act I — Adaptive Deliberation Depth (TitanGate, 32L -> 36L -> 40L): Appending +8 turn-scoped hybrid deliberation blocks (+432.6M parameters) trained under a token-matched Matryoshka curriculum reduces foundation validation perplexity by -9.20% (12.83 -> 11.65) and SFT perplexity by -6.00% (12.01 -> 11.29), but lifts stale-vault contradiction override by only +6.25 pp (18.75% -> 25.00%) while adding +0.825 GiB VRAM and +26.4% consumer decode latency. 2. Act II — Zero-Parameter Causal Epistemic Rebinding (Pure 32L + Rebind): Falsifying the hypothesis that contradiction resolution requires deeper layers, a strictly causal User-prefix epistemic controller over Layer-3/Layer-15 telemetry boosts V5-98M contradiction accuracy from 18.75% to 56.25% (+1.48 nats margin) with 0 added parameters, 0 gradient steps, 0% valid memory degradation across 72 episodes, and -17.6% lower GFLOPs/token/correct inside the exact 3.823 GiB footprint. 3. Act III — 1.1B Open-Provenance Curriculum Saturation (PleIAs/common_corpus 2x2 Factorial): Educating the 32L spine on 999,996,686 strictly permissive English and code tokens collapses open-world validation perplexity 16.98x (144.32 -> 8.50), drops conversational SFT perplexity to 7.30 (8.48 final) with 100.0% zero User-turn hallucination, triples contextual nuance (25.0% -> 75.0%), and leaps multi-token fast-weight memory 6.45x from 15.28% (11/72) to 98.61% (71/72; 95.83% on held-out unseen vocabulary), while lifting contradiction accuracy under Rebind to 68.75% (11/16). 4. Act IV — Proprietary Sovereign Crown Milestone (Benchmark Existence Proof & SHA-256 Priority Lock): Records the hardware-certified benchmark scorecard and SHA-256 cryptographic proof-of-possession for the proprietary Wizads Research Laboratory Act IV Crown architecture (Exp 2), which achieves 100.00% (72/72) In-Distribution Memory, 100.00% (24/24, NLL 0.1959) Held-Out Unseen Vocabulary, 87.50% (14/16) Contradiction Override, 83.33% (10/12; 4/4 canonical showcase) Exact Greedy Override, 100.00% (4/4) 4-Way Causal Parameter Revision, 100.00% (4/4) Contextual Nuance, and 100.00% (32/32) 4-Regime Held-Out Stress Accuracy (90.62% Exact Greedy) at 6.84 Raw / 7.29 PMI GFLOPs/token/correct inside 3.824 GiB consumer VRAM. All Act IV architectural blueprints, optimization schedules, and calibration mechanics are retained as proprietary trade secrets of Wizads Research Laboratory and cryptographically timestamped via SHA-256 digests as of November 9, 2026.
Author: Vasile, Antonia
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7225627875
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