Towards Rigorous Explainability by Feature Attribution explores Advocating for rigorous symbolic methods in explainable AI to address the lack of rigor in current non-symbolic approaches like SHAP.. Commercial viability score: 1/10 in Explainable 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.
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Canonical route: /paper/towards-rigorous-explainability-by-feature-attribution
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Agent Handoff
Canonical ID towards-rigorous-explainability-by-feature-attribution | Route /paper/towards-rigorous-explainability-by-feature-attribution
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/towards-rigorous-explainability-by-feature-attributionMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.15898"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "Towards Rigorous Explainability by Feature Attribution",
"normalized_query": "2604.15898",
"route": "/paper/towards-rigorous-explainability-by-feature-attribution",
"paper_ref": "towards-rigorous-explainability-by-feature-attribution",
"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.
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