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Minimal generating sets from infinite rank constraints in the multi-block case

Determine which of the infinitely many rank constraints arising from linear combinations of block output matrices M_i yield a minimal—or even finite—generating set for the ideal J^{\mathbf{A}} of the ReLU pattern variety when multiple activation blocks are present.

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Background

For multiple activation blocks, the paper shows that many determinantal constraints can be derived from linear combinations of block outputs, leading to infinitely many potential invariants.

Identifying a minimal finite set of generators would enable a complete implicit description of the output space in the multi-block setting and clarify which constraints are essential.

References

Moreover, in the case of multiple blocks, it remains to determine which of the infinitely many rank conditions yield a minimal (or even finite) generating set for the ideal.

Constraining the outputs of ReLU neural networks (2508.03867 - Alexandr et al., 5 Aug 2025) in Conclusion and future work (Section 9)