method
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method:latent-stitchLatent Stitch
Baseline method using a single orthogonal matrix trained to map source latents to target latents via CL auxiliary loss without behavioral objective.
Neighborhood — ranked by edge-count
Papers (1)
paper
- Model Alignment Searchintroduces
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Statistical regularities stored in pretrained models.
- Reasoning approach using learnable hidden embeddings.
- Baseline model stitching trained in a single behavioral direction without CL auxiliary loss, used for comparison with CLMAS.
- Methods that use latent reasoning; lack task generalization and are difficult to train with autoregressive parallelization.
- Technique to measure representational compatibility by integrating intermediate representations of one model into another
- Hidden or underdeveloped structures existing 'between the lines' of a configuration that can be enhanced and developed through harmony-seeking computation.
- Metric measuring the mean MSE between self and other-referencing activations across all hidden MLP/attention layers
- Configurational entities existing implicitly in a structure; guide perception and generation of next morphogenetic step; exemplified in St Mark's square cycles.