When the gradient sees rank: provable necessity, causal recruitment, and composition in trained matrix memories
Read the original at arxiv.org→arXiv:2609.17594v1 Announce Type: new Abstract: Can gradient-based training learn the rank needed to store and compose associations in a matrix memory? In our earlier study, we used a matrix-augmented reasoner on a...
Original headline: "When the Gradient Sees Rank: Provable Necessity, Causal Recruitment, and Composition in Trained Matrix Memories"
Coverage timeline
- Sep 17, 04:00 UTC arXiv cs.LG lead source When the Gradient Sees Rank: Provable Necessity, Causal Recruitment, and Composition in Trained Matrix Memories