Poster: ClawdGo: Endogenous Security Awareness Training for Autonomous AI Agents explores ClawdGo trains autonomous AI agents to recognize and reason about security threats from within, at inference time, without model modification.. Commercial viability score: 4/10 in AI Agents.
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This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Page Freshness
Canonical route: /paper/poster-clawdgo-endogenous-security-awareness-training-for-autonomous-ai-agents
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID poster-clawdgo-endogenous-security-awareness-training-for-autonomous-ai-agents | Route /paper/poster-clawdgo-endogenous-security-awareness-training-for-autonomous-ai-agents
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/poster-clawdgo-endogenous-security-awareness-training-for-autonomous-ai-agentsMCP example
{
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"arxiv_id": "2604.24020"
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}Paper proof page receipt window
/buildability/poster-clawdgo-endogenous-security-awareness-training-for-autonomous-ai-agents
Subject: Poster: ClawdGo: Endogenous Security Awareness Training 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
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.
Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
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Preparing verified analysis
Dimensions overall score 4.0
Visual citation anchors from the paper document graph.
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References are not available from the internal index yet.
Receipt path
/buildability/poster-clawdgo-endogenous-security-awareness-training-for-autonomous-ai-agents
Paper ref
poster-clawdgo-endogenous-security-awareness-training-for-autonomous-ai-agents
arXiv id
2604.24020
Generated at
2026-04-28T15:19:56.835Z
Evidence freshness
fresh
Last verification
2026-04-28T15:19:56.835Z
Sources
3
References
0
Coverage
50%
Lineage hash
605afb1ec9d92136108d377aaf966be03b3e328980b48ca8a9ec9b24b93d2769
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
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This equation captures one of the core mathematical components of the system. sion: (1) selects the weakest dimension (d∗= arg mind ⃗s[d]
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This equation captures one of the core mathematical components of the system. E3=70, O4=71, S3=73). Results demonstrate the framework
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