Bounding the Black Box: A Statistical Certification Framework for AI Risk Regulation
Compared to this week’s papers
Verification pending
Use This Via API or MCP
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Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/bounding-the-black-box-a-statistical-certification-framework-for-ai-risk-regulation
- Proof freshness
- fresh
- Proof status
- unverified
- Display score
- 4/10
- Last proof check
- 2026-04-24
- Score updated
- 2026-04-24
- Score fresh until
- 2026-05-24
- References
- 0
- Source count
- 3
- Coverage
- 50%
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Bounding the Black Box: A Statistical Certification Framework for AI Risk Regulation
Canonical ID bounding-the-black-box-a-statistical-certification-framework-for-ai-risk-regulation | Route /signal-canvas/bounding-the-black-box-a-statistical-certification-framework-for-ai-risk-regulation
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/bounding-the-black-box-a-statistical-certification-framework-for-ai-risk-regulationMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "bounding-the-black-box-a-statistical-certification-framework-for-ai-risk-regulation",
"query_text": "Summarize Bounding the Black Box: A Statistical Certification Framework for AI Risk Regulation"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Bounding the Black Box: A Statistical Certification Framework for AI Risk Regulation",
"normalized_query": "2604.21854",
"route": "/signal-canvas/bounding-the-black-box-a-statistical-certification-framework-for-ai-risk-regulation",
"paper_ref": "bounding-the-black-box-a-statistical-certification-framework-for-ai-risk-regulation",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Evidence Receipt
Route status: buildingClaims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Bounding the Black Box: A Statistical Certification Framework for AI Risk Regulation
PDF: https://arxiv.org/pdf/2604.21854v1
Source count: 3
Coverage: 50%
Last proof check: 2026-04-24T20:30:59.192Z
Signal Canvas receipt window
Not build-ready: Bounding the Black Box: A Statistical Certification Framework for AI Risk Regulation
/buildability/bounding-the-black-box-a-statistical-certification-framework-for-ai-risk-regulation
Subject: Bounding the Black Box: A Statistical Certification Framework for AI Risk Regulation
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.
Compute envelope
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Evidence ids
Receipt path
/buildability/bounding-the-black-box-a-statistical-certification-framework-for-ai-risk-regulation
Paper ref
bounding-the-black-box-a-statistical-certification-framework-for-ai-risk-regulation
arXiv id
2604.21854
Freshness
Generated at
2026-04-24T20:30:59.192Z
Evidence freshness
fresh
Last verification
2026-04-24T20:30:59.192Z
Sources
3
References
0
Coverage
50%
Hash state
Lineage hash
2e869163dce3b33bb3e1beadaa72311690d83febe62952101ca2934f99fe1000
Canonical opportunity-kernel lineage hash.
Signature state
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.
Blockers
- Missing: repo_url
- Missing: references
- Missing: proof_status
- Unknown: proof verification has not been recorded yet
Pending verification refs / 3 sources / Verification pending
repo_url
references
Paper Conversation
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
Bounding the Black Box: A Statistical Certification Framework for AI Risk Regulation
Canonical Paper Receipt
Last verification: 2026-04-24T20:30:59.192ZFreshness: fresh
Proof: unverified
Repo: missing
References: 0
Sources: 3
Coverage: 50%
- - repo_url
- - references
- - proof_status
- - proof verification has not been recorded yet
Preparing verified analysis
Dimensions overall score 4.0
GitHub Code Pulse
No public code linked for this paper yet.
Key claims
Startup potential card
Related Resources
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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