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/securerouter-encrypted-routing-for-efficient-secure-inference
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 securerouter-encrypted-routing-for-efficient-secure-inference | Route /signal-canvas/securerouter-encrypted-routing-for-efficient-secure-inference
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/securerouter-encrypted-routing-for-efficient-secure-inferenceMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "securerouter-encrypted-routing-for-efficient-secure-inference",
"query_text": "Summarize SecureRouter: Encrypted Routing for Efficient Secure Inference"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "SecureRouter: Encrypted Routing for Efficient Secure Inference",
"normalized_query": "2604.15499",
"route": "/signal-canvas/securerouter-encrypted-routing-for-efficient-secure-inference",
"paper_ref": "securerouter-encrypted-routing-for-efficient-secure-inference",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 12
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: SecureRouter: Encrypted Routing for Efficient Secure Inference
PDF: https://arxiv.org/pdf/2604.15499v1
Repository: https://github.com/UCF-ML-Research/SecureRouter
Source count: 4
Coverage: 67%
Last proof check: 2026-04-20T20:22:58.145Z
Signal Canvas receipt window
/buildability/securerouter-encrypted-routing-for-efficient-secure-inference
Subject: SecureRouter: Encrypted Routing for Efficient Secure Inference
Verdict
Build Now
Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.
Preparing verified analysis
Dimensions overall score 9.0
Compared to prior work, SecureRouter achieves a latency reduction by 1.95x with negligible accuracy loss
Directly stated in the abstract with a specific numeric result.
partial
Compared to prior work, SecureRouter achieves a latency reduction by 1.95x with negligible accuracy loss
Directly stated in the abstract with a specific numeric result.
partial
an MPC-cost-aware secure router that predicts per-model utility and cost from encrypted features
Explicitly described in the abstract as a component of the framework.
partial
SecureRouter establishes a unified encrypted pipeline that integrates a secure router with an MPC-optimized model pool, enabling coordinated routing, inference, and protocol execution
Directly stated in the abstract as part of the unified encrypted pipeline.
partial
an MPC-optimized model pool whose architectures and quantization schemes are co-trained to minimize MPC communication and computation overhead
Stated in the abstract, though the exact co-training details are not provided.
partial
Tested on the GLUE benchmark, SecureRouter showed latency reduction of 1.95x with minimal accuracy loss
Explicitly mentioned in the analysis excerpt.
partial
preserving full data and model confidentiality
Stated in the abstract, but the claim is broad and relies on the cryptographic framework.
partial
The real-world application may face challenges with integration into existing platforms, legal compliance, especially concerning cryptographic techniques
Mentioned as a caveat in the analysis, but not directly from the paper's main text.
partial
Could replace less efficient privacy-preserving AI frameworks currently unable to balance security with performance.
Implied in the analysis as a potential disruption, but not directly stated in the paper.
partial
an MPC-cost-aware secure router that predicts per-model utility and cost from encrypted features
Explicitly described in the abstract as a component of the framework.
partial
SecureRouter establishes a unified encrypted pipeline that integrates a secure router with an MPC-optimized model pool, enabling coordinated routing, inference, and protocol execution
Directly stated in the abstract as part of the unified encrypted pipeline.
partial
an MPC-optimized model pool whose architectures and quantization schemes are co-trained to minimize MPC communication and computation overhead
Explicitly stated in the abstract, though the exact co-training details are not provided.
partial
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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Structured compute envelope
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No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/securerouter-encrypted-routing-for-efficient-secure-inference
Paper ref
securerouter-encrypted-routing-for-efficient-secure-inference
arXiv id
2604.15499
Generated at
2026-04-20T20:22:58.145Z
Evidence freshness
stale
Last verification
2026-04-20T20:22:58.145Z
Sources
4
References
0
Coverage
67%
Lineage hash
12962f6607f603a301d4d81ac29908aa9c2e13c0c84ca7ba7ef084750ddb02b6
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 / 4 sources / Verification pending
references
proof_status