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Ying-Han Hou

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Preprint Aug 2026

VeraRAN: Pre-Actuation Certification and Event-Causal Synchronization Repair for Asynchronous Multi-Interface RAN Plans

Agentic RAN controllers combine mobility, energy, and resource actions across independently implemented interfaces. Even when each command is valid and the target state is safe, asynchronous actuation can drive the network through unsafe intermediate states. In a frozen study of a 35B planner, 28.8% of locally valid plans remained asynchronously unsafe. We introduce VeraRAN, which checks plans before actuation by modeling request, delivery, acceptance, application, completion, and observation for each action while exploring plausible delays and event orders. When VeraRAN finds a counterexample, VeraSync inserts versioned event barriers and rechecks the repaired plan for safety and completion. MI-POR prunes independent interleavings using RAN lifecycle and resource footprints. In a post-freeze stratified confirmation within the declared repair domain, VeraSync re-certified every confirmation plan while leaving 87% of action pairs unordered. MI-POR matched exact search in a property-stratified audit and reduced explored states by 94.6-95.0% on 20-40-action plans. Native ns-O-RAN replay and an independent live E2 audit showed why distinguishing these events matters: acceptance may precede the authoritative state transition, so dependent actions must wait for direct APPLY evidence or a contract-backed completion event causally downstream of APPLY.

Yinghan Hou, Zongyou Yang · 0 citations
Jul 2026

Accuracy Hides How Language Models Fail: Measuring Failure States Under Matched Output Budgets

A two-layer evaluation framework that separates scorer-independent execution evidence, including termination, answer exposure, parseability, and completion length, from scorer-dependent correctness is introduced, demonstrating that accuracy conflates execution case mix with verification policy.

Zongyou Yang, Ying-Han Hou · 0 citations
Preprint Aug 2026

Control Under Compression: Reliability Frontiers for Tool-Using Agents

CompressAgent is introduced, an environment-verified benchmark for ACC compression across nine independently constructed ACCs, three task families, three fixed Qwen API model identifiers, six retained-context budgets, and 15,525 runs, uncovering a nonlinear, method-dependent reliability frontier.

Ying-Han Hou, Zong-You Yang · 2 citations

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