Preventing Safety Drift in Large Language Models via Coupled Weight and Activation Constraints explores A new method that simultaneously constrains LLM weights and activations to prevent safety degradation during fine-tuning.. Commercial viability score: 7/10 in LLM Safety.
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Canonical route: /paper/preventing-safety-drift-in-large-language-models-via-coupled-weight-and-activation-constraints
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Canonical ID preventing-safety-drift-in-large-language-models-via-coupled-weight-and-activation-constraints | Route /paper/preventing-safety-drift-in-large-language-models-via-coupled-weight-and-activation-constraints
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/preventing-safety-drift-in-large-language-models-via-coupled-weight-and-activation-constraintsMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.12384"
}
}source_context
{
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"query": "Preventing Safety Drift in Large Language Models via Coupled Weight and Activation Constraints",
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"paper_ref": "preventing-safety-drift-in-large-language-models-via-coupled-weight-and-activation-constraints",
"topic_slug": null,
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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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