Generalization in counting recurrent neural networks arises from emergent number-line representations and stable drift dynamics

How do learned strategies generalize to new problems? Children who learn to count can add any two numbers by iteratively updating a running total, even for sums they have not encountered. We trained RNNs with a working-memory readout that tracks the progressive count at every timestep and is fed bac