OLLM: Options-based Large Language Models explores OLLM enhances LLM controllability and robustness by replacing single next-token prediction with a set of learned options, enabling more efficient and aligned generation.. Commercial viability score: 8/10 in LLM Control and Reasoning.
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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.
Page Freshness
Canonical route: /paper/ollm-options-based-large-language-models
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID ollm-options-based-large-language-models | Route /paper/ollm-options-based-large-language-models
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/ollm-options-based-large-language-modelsMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.19087"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "OLLM: Options-based Large Language Models",
"normalized_query": "2604.19087",
"route": "/paper/ollm-options-based-large-language-models",
"paper_ref": "ollm-options-based-large-language-models",
"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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Dimensions overall score 8.0
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