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| -rw-r--r-- | CROSS_ARCHITECTURE_CROSSOVER.md | 28 |
1 files changed, 21 insertions, 7 deletions
diff --git a/CROSS_ARCHITECTURE_CROSSOVER.md b/CROSS_ARCHITECTURE_CROSSOVER.md index 3d2ea1e..eb3dfbe 100644 --- a/CROSS_ARCHITECTURE_CROSSOVER.md +++ b/CROSS_ARCHITECTURE_CROSSOVER.md @@ -71,13 +71,13 @@ convolutions 2, 4, 7, 10, and 13, then two 4096-unit ReLU layers. The residual-CNN definitions are the already audited `CIFARLocalResNet` implementations. -The Transformer depth axis is frozen here, but its exact task, width, context, -and algorithm adapters must be frozen in a separate tracked family protocol -before any formal Transformer endpoint is launched. In particular, an -adapter must specify how PEPITA perturbs continuous token embeddings, how -Forward-Forward constructs positive/negative autoregressive examples, and how -EP and Dual Propagation expose relaxable block states. A generic local -cross-entropy surrogate may not be relabelled as one of those methods. +The Transformer depth axis, task, width, context, algorithm adapters, and +validation-only selector are frozen in `TRANSFORMER_CROSSOVER.md`. That +protocol specifies continuous-embedding PEPITA, autoregressive candidate +overlay for Forward-Forward, and relaxable block states for EP and Dual +Propagation rather than relabelling a generic local cross-entropy surrogate. +Its deterministic X0 gate is frozen at +`results/transformer_crossover/x0_equation_audit.json`. Additional width or depth ladders may be added only as a new complete family revision containing every method. They do not replace, merge, or selectively @@ -190,3 +190,17 @@ budgets, and adapters, SDIL is Pareto-competitive and scales across the tested families. The panel does not prove asymptotic scaling, biological implementation, clean-setting superiority over BP, or universal superiority over EP/Dual Propagation. + +## Execution ledger (2026-07-27) + +- Plain-CNN P1 is complete and its selector is frozen. The 27-cell P2 is + active on the only authorized physical GPUs, timan107 GPU5 and GPU7. +- ResNet X0, the 19-cell ResNet-20 selector, and its analyzer are frozen. + Formal R1 waits for an authorized GPU rather than sharing memory with P2. +- Transformer X0 passes in both development PyTorch and the Pascal PyTorch + 2.3 environment. Its 27-cell T1 registry and analyzer are frozen. Formal + T1 likewise waits for an authorized GPU. + +GPU serialization changes calendar time, not the cell registry. No pending +family may borrow an unapproved GPU, and no method or size may be removed to +shorten the queue. |