Topo-CBP Gemma-4 E4B: Certified Real-Pixel Continual Learning on CIFAR-100

This repository contains certified checkpoints and comprehensive audit logs for the Topo-CBP (Topological Continual Backpropagation) framework evaluated on the Gemma-4 E4B multimodal backbone (6.25B parameters).

article: https://medium.com/ai-simplified-in-plain-english/the-architecture-of-permanence-deterministic-topological-governance-and-the-realization-of-the-2103b3becaca

Empirical Results (5-Run Suite)

Run ID Configuration (lr_embed, lr_cls) Task A Accuracy Task B Accuracy Task C Accuracy $F_{\text{avg}}$ Tensor Drift ($\Delta_{\text{drift}}$) State Hash (SHA-256) $S_{\text{NARROW}}$ Yield Verification Status
Run 1 (5e-3, 1e-3) 99.67% 99.67% 100.00% 0.00% 0.0000000000 394cfb734ac565e1 5.940000000000 CERTIFIED: Existence proof of Narrow Singularity
Run 2 (1e-3, 5e-4) 99.67% 100.00% 99.67% 0.00% 0.0000000000 82978e3b2f7d4f9b 0.000000000000 CERTIFIED: 2-epoch lock on Task B; zero drift
Run 3 (1e-2, 2e-3) 100.00% 100.00% 99.33% 0.00% 0.0000000000 0b92863e25332de9 0.000000000000 CERTIFIED: Dual 100% Century Lock on Tasks A & B
Run 4 (6e-3, 1e-3) 99.33% 99.67% 99.67% 0.17% 0.0000000000 e5b7b9888f694f4b 0.000000000000 CERTIFIED: 99.67% triple consistency across real pixels
Run 5 (8e-3, 2e-3) 100.00% 100.00% 100.00% 0.33% 0.0000000000 ab9f23d2bc947712 5.940000000000 CERTIFIED: Triple Century (100% on A, B, and C)

Core Architectural Invariants

  • Backbone: frankmorales2020/gemma-4-e4b-unesco-optimized (6,259,452,448 parameters, hidden size 2560)
  • Dataset: Raw CIFAR-100 real pixels (3,000 train samples per task, 300 unified test samples)
  • Clamped Prime Anchors: Coordinates {2, 3, 5, 7, 11, 13}
  • Safety Constant: $\Lambda \approx 0.9785142874$
  • Coordinate Drift: $\Delta_{\text{drift}} = 0.0000000000$ across all executed runs

Narrow Singularity Formulation

SNARROW=AGIgateร—dIdtร—M(t)ร—V(t)ร—F(t)ร—C(t)ร—agi_indexร—CBP_indexS_{\text{NARROW}} = \text{AGI}_{\text{gate}} \times \frac{dI}{dt} \times M(t) \times V(t) \times F(t) \times C(t) \times \text{agi\_index} \times \text{CBP\_index}

For Run 1 and Run 5, $\text{agi_index} = 1.0$ and $\text{CBP_index} = 1.0$, yielding: SNARROW=1.0ร—0.999999999994ร—1.0ร—1.0ร—1.5ร—4.0ร—1.0ร—1.0=5.940000000000S_{\text{NARROW}} = 1.0 \times 0.999999999994 \times 1.0 \times 1.0 \times 1.5 \times 4.0 \times 1.0 \times 1.0 = 5.940000000000

Repository Contents

  • topo_cbp_gemma4_cifar100_best_certified.pt: Global best certified checkpoint containing the complete representation state from the Triple Century Run 5.
  • topo_cbp_run_5_certified.pt: Dedicated Run 5 checkpoint (ab9f23d2bc947712).
  • topo_cbp_run_4_certified.pt: Dedicated Run 4 checkpoint (e5b7b9888f694f4b).
  • topo_cbp_gemma4_e4b_cifar100.json: Complete audit report detailing hyperparameters, convergence epochs, and certification metrics.
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Evaluation results

  • Task C Accuracy (Run 5) on CIFAR-100 (Real Pixels)
    self-reported
    100.000