Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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Page Freshness
Canonical route: /signal-canvas/insuring-every-action-an-authority-frontier-framework-for-runtime-actuarial-control-of-autonomous-ai-agents
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Canonical ID insuring-every-action-an-authority-frontier-framework-for-runtime-actuarial-control-of-autonomous-ai-agents | Route /signal-canvas/insuring-every-action-an-authority-frontier-framework-for-runtime-actuarial-control-of-autonomous-ai-agents
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/insuring-every-action-an-authority-frontier-framework-for-runtime-actuarial-control-of-autonomous-ai-agentsMCP example
{
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"mode": "paper",
"paper_ref": "insuring-every-action-an-authority-frontier-framework-for-runtime-actuarial-control-of-autonomous-ai-agents",
"query_text": "Summarize Insuring Every Action: An Authority Frontier Framework for Runtime Actuarial Control of Autonomous AI Agents"
}
}source_context
{
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"query": "Insuring Every Action: An Authority Frontier Framework for Runtime Actuarial Control of Autonomous AI Agents",
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"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Insuring Every Action: An Authority Frontier Framework for Runtime Actuarial Control of Autonomous AI Agents
PDF: https://arxiv.org/pdf/2605.25632v1
Source count: 3
Coverage: 50%
Last proof check: 2026-05-27T00:06:05.936Z
Signal Canvas receipt window
/buildability/insuring-every-action-an-authority-frontier-framework-for-runtime-actuarial-control-of-autonomous-ai-agents
Subject: Insuring Every Action: An Authority Frontier Framework for Runtime Actuarial Control of Autonomous AI Agents
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Preparing verified analysis
Dimensions overall score 0.0
No public code linked for this paper yet.
{"file name": "input.pdf", "number of pages": 35, "author": "Hao-Hsuan Chen", "title": "Insuring Every Action: An Authority Frontier Framework for Runtime Actuarial Control of Autonomous AI Agents"
Implication not extracted yet.
partial
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/insuring-every-action-an-authority-frontier-framework-for-runtime-actuarial-control-of-autonomous-ai-agents
Paper ref
insuring-every-action-an-authority-frontier-framework-for-runtime-actuarial-control-of-autonomous-ai-agents
arXiv id
2605.25632
Generated at
2026-05-27T00:06:05.936Z
Evidence freshness
stale
Last verification
2026-05-27T00:06:05.936Z
Sources
3
References
0
Coverage
50%
Lineage hash
e8de0a962a20f65df70e39f29979d92e3cb485d54d526c320fd6c2b3883557c6
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
Verification is blocked until an external signature is provided.
Pending verification refs / 3 sources / Verification pending
repo_url
references