Lines of inquiry — A named line of the record’s own argument, so that a line can be set aside as a whole and what depends on it can be found. Retracting a line is a status change on its members, never a deletion (ADR-032).
How training finds structure — why trained networks come to have the structure they have, which features, symmetries and connected solution sets training reaches and why — understanding, not instruction for practice, which belongs to the anthology.
1 of 191 CASE documents. Back to the full index.
| # | Title | Summary | Status |
|---|---|---|---|
| CASE-113 v2 | A deep network under conventional training: competing losses, an external optimizer and a scheduler, with three architectures that move governance inward and crossed interventions that locate it | The owner’s application case, U30–U31 of the exchange of 2026-10-17: a deep network during training, taken apart with the record’s individuation and volition frameworks. A network is trained on tasks with conflicting gradients by an optimizer with its own state and a scheduler. A31’s Systems A, B and C move the regulation of conflict from the optimizer into the learner by stages, and its crossed interventions say where a regulatory condition sits. Stipulated: the outcomes of the interventions are not known, except the optimizer arm in THEORY-253’s solvable model. | Active |