Empirical Characterization of Rationale Stability Under Controlled Perturbations for Explainable Pattern Recognition explores A new metric to ensure AI model explanations are stable and consistent across similar inputs, building more trustworthy AI systems.. Commercial viability score: 7/10 in Explainable AI (XAI).
Use This Via API or MCP
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.
Freshness
Canonical route: /paper/empirical-characterization-of-rationale-stability-under-controlled-perturbations-for-explainable-pattern-recognition
Proof data is outside the preferred freshness window.
Proof Quality
One canonical proof ledger now drives the badge, counts, indexing, and commercialization gating.
Commercialization rails stay hidden until proof clears: proof_status, references_count, source_count, coverage.
Search indexing stays off until proof clears: proof_status, references_count, source_count, coverage.
Agent Handoff
Canonical ID empirical-characterization-of-rationale-stability-under-controlled-perturbations-for-explainable-pattern-recognition | Route /paper/empirical-characterization-of-rationale-stability-under-controlled-perturbations-for-explainable-pattern-recognition
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/empirical-characterization-of-rationale-stability-under-controlled-perturbations-for-explainable-pattern-recognitionMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.04456"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "Empirical Characterization of Rationale Stability Under Controlled Perturbations for Explainable Pattern Recognition",
"normalized_query": "2604.04456",
"route": "/paper/empirical-characterization-of-rationale-stability-under-controlled-perturbations-for-explainable-pattern-recognition",
"paper_ref": "empirical-characterization-of-rationale-stability-under-controlled-perturbations-for-explainable-pattern-recognition",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}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
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