Mean Teacher

Identity Notes & Concept Scope Mean Teacher averages weights, whereas temporal ensembling averages predictions and the Pi-model shares current parameters across two gradient-bearing branches. Sharing an EMA component does not make this labeled classifier-training objective identical to BYOL or DINO, which use different representation targets and objectives without the labeled cross-entropy term. This record describes a training algorithm, not a trained checkpoint or fixed network architecture. The inspected AIO SemiSupervisedLLM class specifically combines LLM pretraining with supervised fine-tuning; its related synonym self-training is not an exact identity for this method. AIO SelfsupervisedLearning excludes human-annotated labels, Distillation describes large-to-small compression, and RegularizationLayer is a layer: none supplies an equivalent class for this algorithm. No normalized identity match was found across all 442 pinned AIO labels/scoped synonyms and 230 preceding native IDs/names/aliases. Full-checkout fixed-string searches included ignored and hidden files in both worktree and main checkout; matches concern prior discovery leads and the Pi-model normalization regression. Ten exact AIO CLASS nodes, their scoped synonyms and outgoing edges, plus five neighboring native records were inspected. The corrected Unicode-aware normalizer preserves Π; the previous Pi-model/Model collision was a lexical defect, not semantic identity (review issue #58).