This equation captures one of the core mathematical components of the system. map with kill-switch-as-last-resort; a scalar Viability Index V I(t) ∈[−1, +1] with first-order
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Governing What You Cannot Observe: Adaptive Runtime Governance for Autonomous AI Agents explores A theoretical framework for adaptive runtime governance of autonomous AI agents based on estimating unobserved risk.. Commercial viability score: 3/10 in Agents.
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Canonical route: /paper/governing-what-you-cannot-observe-adaptive-runtime-governance-for-autonomous-ai-agents
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Canonical ID governing-what-you-cannot-observe-adaptive-runtime-governance-for-autonomous-ai-agents | Route /paper/governing-what-you-cannot-observe-adaptive-runtime-governance-for-autonomous-ai-agents
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{
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}Paper proof page receipt window
/buildability/governing-what-you-cannot-observe-adaptive-runtime-governance-for-autonomous-ai-agents
Subject: Governing What You Cannot Observe: Adaptive Runtime Governance for Autonomous AI Agents
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Time to first demo
Insufficient data
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Insufficient data
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Dimensions overall score 3.0
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Receipt path
/buildability/governing-what-you-cannot-observe-adaptive-runtime-governance-for-autonomous-ai-agents
Paper ref
governing-what-you-cannot-observe-adaptive-runtime-governance-for-autonomous-ai-agents
arXiv id
2604.24686
Generated at
2026-04-28T15:20:37.392Z
Evidence freshness
fresh
Last verification
2026-04-28T15:20:37.392Z
Sources
3
References
0
Coverage
50%
Lineage hash
f113766cb0b0196608d0748511309bd27288240dbd18eaee6b3bb90932685ece
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
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Pending verification refs / 3 sources / Verification pending
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This equation captures one of the core mathematical components of the system. map with kill-switch-as-last-resort; a scalar Viability Index V I(t) ∈[−1, +1] with first-order
Page and bbox are available; crop image is pending.
This equation captures one of the core mathematical components of the system. problem structure, and implement AVF as V I(t) ∈[−1, +1] operationalizing ˆΦ(x) with region
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This equation captures one of the core mathematical components of the system. Let x = (a, θ(t)) denote the evaluation context at time t, where a is the proposed action and θ(t) is
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