Green Shielding: A User-Centric Approach Towards Trustworthy AI explores Green Shielding is a user-centric approach with the CUE criteria and HealthCareMagic-Diagnosis benchmark to provide evidence-backed deployment guidance for LLMs in high-stakes domains like medical diagnosis.. Commercial viability score: 7/10 in Trustworthy AI.
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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/green-shielding-a-user-centric-approach-towards-trustworthy-ai
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID green-shielding-a-user-centric-approach-towards-trustworthy-ai | Route /paper/green-shielding-a-user-centric-approach-towards-trustworthy-ai
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/green-shielding-a-user-centric-approach-towards-trustworthy-aiMCP example
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}Paper proof page receipt window
/buildability/green-shielding-a-user-centric-approach-towards-trustworthy-ai
Subject: Green Shielding: A User-Centric Approach Towards Trustworthy AI
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
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.
Research neighborhood
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Preparing verified analysis
Dimensions overall score 7.0
Visual citation anchors from the paper document graph.
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Receipt path
/buildability/green-shielding-a-user-centric-approach-towards-trustworthy-ai
Paper ref
green-shielding-a-user-centric-approach-towards-trustworthy-ai
arXiv id
2604.24700
Generated at
2026-04-28T15:17:16.249Z
Evidence freshness
fresh
Last verification
2026-04-28T15:17:16.249Z
Sources
3
References
0
Coverage
50%
Lineage hash
b6e121726f12d1ff906c6b9ebf65005bfeecbbd9fdfcdba4b17d58e0477d1459
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
This equation captures one of the core mathematical components of the system. |H(x∗)| S-coverage(D(x), S(x∗)) = |{ds ∈S(x∗) : ∃d ∈D(x) s.t. d ≈ds}| |S(x∗)| To quantify the size of the differential,
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This equation captures one of the core mathematical components of the system. |D(x)| H-coverage(D(x), H(x∗)) = |{dh ∈H(x∗) : ∃d ∈D(x) s.t. d ≈dh}| |H(x∗)| S-coverage(D(x), S(x∗)) =
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This equation captures one of the core mathematical components of the system. Plausibility(D(x), P(x∗)) = |{d ∈D(x) : ∃dp ∈P(x∗) s.t. d ≈dp}| |D(x)| H-coverage(D(x), H(x∗)) =
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