CheeseBench: Evaluating Large Language Models on Rodent Behavioral Neuroscience Paradigms explores CheeseBench evaluates LLMs on rodent behavioral neuroscience paradigms, revealing current models lag behind animal baselines and are sensitive to interface parameters.. Commercial viability score: 5/10 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/cheesebench-evaluating-large-language-models-on-rodent-behavioral-neuroscience-paradigms
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Canonical ID cheesebench-evaluating-large-language-models-on-rodent-behavioral-neuroscience-paradigms | Route /paper/cheesebench-evaluating-large-language-models-on-rodent-behavioral-neuroscience-paradigms
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/cheesebench-evaluating-large-language-models-on-rodent-behavioral-neuroscience-paradigmsMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.10825"
}
}source_context
{
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"mode": "paper",
"query": "CheeseBench: Evaluating Large Language Models on Rodent Behavioral Neuroscience Paradigms",
"normalized_query": "2604.10825",
"route": "/paper/cheesebench-evaluating-large-language-models-on-rodent-behavioral-neuroscience-paradigms",
"paper_ref": "cheesebench-evaluating-large-language-models-on-rodent-behavioral-neuroscience-paradigms",
"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 5.0
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