Why mealy machine, Why?

Why did the Mealy machine linger for so long? It was the first formal object that perfectly encoded a core obsession, and because of that, it became impossible to let go of—even long after its utility had expired. The digital trail of drafts and planning sessions reveals this reluctance. In the preparation notes, the verdict was clear: §3.2 Mealy notation | M = (Q, Σ, Δ, δ, λ, q₀) | Drop App A.1 | Theorem 1 + Mealy proof | Drop It was marked for deletion. Even the prism agent had pointed out the redundancy: “The Mealy machine result is simply the zero-cut special case of the static certificate”—strictly weaker, less general, and less rigorous than what followed. Yet, like a ghost in the machine, it kept reappearing. It haunted 2026jan.tex, lingered on Desktop/cc.tex, and found its way back into the AIES submission. Every attempt to excise it failed; it kept surviving. ...

Wednesday, 19:20, 2026-05-20 · 3 min · 473 words

From Boolean Verdicts to Quantitative Witnesses: Why DAG Topology Needs a Trail Semantics

Since Pearl (2009), causal inference on DAGs has crystallized around a powerful but austere toolkit: boolean d-separation and do-calculus. Does evidence flow? Full stop. Does it flow after an intervention? Full stop. This framework is sufficient for causal identification—determining whether an effect is estimable from observed data. But it is curiously silent on a question that seems equally natural: how much flows, through which channels, and with what residual structure? ...

Monday, 19:30, 2026-05-18 · 6 min · 1147 words

Dual Certificates for Agent Audit: Separating Structural Unrecoverability from Decision Relevance

Auditing a deployed language-model agent requires two separable quantities: how much operative state escapes the recorded trace, and how much of that residual state drives behavior. We introduce a dual-certificate…

Friday, 11:13, 2026-05-15 · 2 min · 217 words · # NeurIPS 2026 · # AI Audit · # Information Theory