REVIEW 1 cited by
Lattice-Valued Bottleneck Duality
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
This note reformulates certain classical combinatorial duality theorems in the context of order lattices. For source-target networks, we generalize bottleneck path-cut and flow-cut duality results to edges with capacities in a distributive lattice. For posets, we generalize a bottleneck version of Dilworth's theorem, again weighted in a distributive lattice. These results are applicable to a wide array of non-numerical network flow problems, as shown. All results, proofs, and applications were created in collaboration with AI language models. An appendix documents their role and impact.
Forward citations
Cited by 1 Pith paper
-
Explaining Deep Network Classification of Matrices: A Case Study on Monotonicity
For random 7x7 matrices with entries uniform in (-1,1), the ratio of the two lowest characteristic-polynomial coefficients, equal to 1/tr(A^{-1}) for monotone A, is empirically below 0.1755 for all 18,000 sampled mono...
Discussion (0). Continue with ORCID to comment.