Pressure, What Pressure? Sycophancy Disentanglement in Language Models via Reward Decomposition explores A reward decomposition approach that disentangles sycophancy in language models by separating pressure capitulation from evidence blindness, leading to more robust and factual responses.. Commercial viability score: 7/10 in LLM Alignment.
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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.
Freshness
Canonical route: /paper/pressure-what-pressure-sycophancy-disentanglement-in-language-models-via-reward-decomposition
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Proof Quality
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Agent Handoff
Canonical ID pressure-what-pressure-sycophancy-disentanglement-in-language-models-via-reward-decomposition | Route /paper/pressure-what-pressure-sycophancy-disentanglement-in-language-models-via-reward-decomposition
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/pressure-what-pressure-sycophancy-disentanglement-in-language-models-via-reward-decompositionMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.05279"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "Pressure, What Pressure? Sycophancy Disentanglement in Language Models via Reward Decomposition",
"normalized_query": "2604.05279",
"route": "/paper/pressure-what-pressure-sycophancy-disentanglement-in-language-models-via-reward-decomposition",
"paper_ref": "pressure-what-pressure-sycophancy-disentanglement-in-language-models-via-reward-decomposition",
"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 7.0
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