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README.md

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 Custom from-scratch hybrid discriminative+generative model for abstract reasoning (RAVEN / PGM / I-RAVEN-X style matrix puzzles).
 
-Architecture: GRAFT (Grid Relational Attention Fusion Transformer), ~0.79M params.
-
-Narration is templated (captions the classifier's decision, not an independent derivation from ground-truth attribute labels).
+Architecture: GRAFT (Grid Relational Attention Fusion Transformer), ~0.81M params. FiLM-conditioned narrator, anti-collapse variance regularization on the rule embedding.
 
 Load with the GRAFT class definition (see modeling.py) + model.pt state_dict.

model.pt

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 version https://git-lfs.github.com/spec/v1
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+oid sha256:9bf878df7e5cb39889ee20152c761fcad2b5aa8042598c573e5bd2b88d9d7f61
+size 3272942