SoK: Semantic Decision Engines in Network Control Loops
Abstract
A semantic decision engine such as Jev can return a valid answer and still miss a network deadline, select an infeasible action or leave the service unverified. We systematize 139 paper families by decision interface, execution path and check ownership. Fifty families claim that their engine fits a control loop or time budget, but only four support the claim with matched measurement. Across all 139, four report deadline attainment. The gap concentrates where the decision has no deterministic computation step. Those 72 families make 22 of the claims, none supported, and name a coverage owner in only two. Bounded tests under one event model show that each gap can reverse an admission verdict. A decision that meets a 10 s budget for every isolated request meets it for none once decisions queue ahead of replayed execution times. The same engine passes one coverage check and fails another. We derive a minimum reporting record, design rules and a research agenda for admitting decision engines to control loops.
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When can a semantic decision engine sit inside a network control loop? We systematize 139 paper families by decision interface, execution path and check ownership. Fifty families claim their engine fits a control loop or time budget, but only four measure it at the claimed boundary; nine report p95 latency or higher and four report deadline attainment.
Bounded tests on transport and edge execution stacks show why this matters: a 100 ms edge decision meets a 2 s budget for 76.0% of isolated requests and for 18.6% once its decision slot runs at about 95% load. The same engine requests a new candidate for 45 of 48 contracts without one, yet escalates only 4 of 120 infeasible routes. We derive a reporting record, design rules and a research agenda.
Code, literature-review records and frozen data:
https://github.com/OniReimu/SoK-JEV
https://huggingface.co/datasets/OniReimu/SoK-JEV
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