Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
Use This Via API or MCP
Signal Canvas is the citation-first public layer for turning one paper into a structured commercialization narrative. Use it to hand off into REST, MCP, Build Loop, and launch-pack execution without losing source lineage.
Use This Via API or MCP
Route this paper proof surface into REST, MCP, or developer workflows while preserving the same evidence receipt and related-resource context.
Page Freshness
Canonical route: /signal-canvas/exact-stiefel-optimization-for-probabilistic-pls-closed-form-updates-error-bounds-and-calibrated-uncertainty
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 exact-stiefel-optimization-for-probabilistic-pls-closed-form-updates-error-bounds-and-calibrated-uncertainty | Route /signal-canvas/exact-stiefel-optimization-for-probabilistic-pls-closed-form-updates-error-bounds-and-calibrated-uncertainty
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/exact-stiefel-optimization-for-probabilistic-pls-closed-form-updates-error-bounds-and-calibrated-uncertaintyMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "exact-stiefel-optimization-for-probabilistic-pls-closed-form-updates-error-bounds-and-calibrated-uncertainty",
"query_text": "Summarize Exact Stiefel Optimization for Probabilistic PLS: Closed-Form Updates, Error Bounds, and Calibrated Uncertainty"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Exact Stiefel Optimization for Probabilistic PLS: Closed-Form Updates, Error Bounds, and Calibrated Uncertainty",
"normalized_query": "2605.11607",
"route": "/signal-canvas/exact-stiefel-optimization-for-probabilistic-pls-closed-form-updates-error-bounds-and-calibrated-uncertainty",
"paper_ref": "exact-stiefel-optimization-for-probabilistic-pls-closed-form-updates-error-bounds-and-calibrated-uncertainty",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Exact Stiefel Optimization for Probabilistic PLS: Closed-Form Updates, Error Bounds, and Calibrated Uncertainty
PDF: https://arxiv.org/pdf/2605.11607v1
Source count: 3
Coverage: 50%
Last proof check: 2026-05-13T21:03:24.385Z
Signal Canvas receipt window
/buildability/exact-stiefel-optimization-for-probabilistic-pls-closed-form-updates-error-bounds-and-calibrated-uncertainty
Subject: Exact Stiefel Optimization for Probabilistic PLS: Closed-Form Updates, Error Bounds, and Calibrated Uncertainty
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Preparing verified analysis
Dimensions overall score 4.0
No public code linked for this paper yet.
CLAIM MAP
No public claim map is available for this paper yet.
Use an AI coding agent to implement this research.
Lightweight coding agent in your terminal.
Agentic coding tool for terminal workflows.
AI agent mindset installer and workflow scaffolder.
AI-first code editor built on VS Code.
Free, open-source editor by Microsoft.
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
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/exact-stiefel-optimization-for-probabilistic-pls-closed-form-updates-error-bounds-and-calibrated-uncertainty
Paper ref
exact-stiefel-optimization-for-probabilistic-pls-closed-form-updates-error-bounds-and-calibrated-uncertainty
arXiv id
2605.11607
Generated at
2026-05-13T21:03:24.385Z
Evidence freshness
stale
Last verification
2026-05-13T21:03:24.385Z
Sources
3
References
0
Coverage
50%
Lineage hash
9b1fab5416aadbccd706e45977e48629590e4003f6c574e02e2fea8ed79b0953
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