General365: Benchmarking General Reasoning in Large Language Models Across Diverse and Challenging Tasks explores A new benchmark, General365, designed to rigorously evaluate and advance the general reasoning capabilities of large language models across diverse, challenging tasks.. Commercial viability score: 7/10 in LLM Benchmarking.
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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/general365-benchmarking-general-reasoning-in-large-language-models-across-diverse-and-challenging-tasks
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Agent Handoff
Canonical ID general365-benchmarking-general-reasoning-in-large-language-models-across-diverse-and-challenging-tasks | Route /paper/general365-benchmarking-general-reasoning-in-large-language-models-across-diverse-and-challenging-tasks
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/general365-benchmarking-general-reasoning-in-large-language-models-across-diverse-and-challenging-tasksMCP example
{
"tool": "get_paper",
"arguments": {
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}
}source_context
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}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 7.0
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