A formally verified Isabelle/HOL specification of tensor-based LTLf semantics yields a verified differentiable loss and derivative, automatically extracted to OCaml and used to train trajectory-planning networks in PyTorch.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Formally Verified Neurosymbolic Trajectory Learning via Tensor-based Linear Temporal Logic on Finite Traces
A formally verified Isabelle/HOL specification of tensor-based LTLf semantics yields a verified differentiable loss and derivative, automatically extracted to OCaml and used to train trajectory-planning networks in PyTorch.