SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language Models explores A framework to prevent safety alignment erosion in LLMs during continual domain adaptation.. Commercial viability score: 7/10 in LLM Safety.
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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/safeanchor-preventing-cumulative-safety-erosion-in-continual-domain-adaptation-of-large-language-models
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Agent Handoff
Canonical ID safeanchor-preventing-cumulative-safety-erosion-in-continual-domain-adaptation-of-large-language-models | Route /paper/safeanchor-preventing-cumulative-safety-erosion-in-continual-domain-adaptation-of-large-language-models
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/safeanchor-preventing-cumulative-safety-erosion-in-continual-domain-adaptation-of-large-language-modelsMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.17691"
}
}source_context
{
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"paper_ref": "safeanchor-preventing-cumulative-safety-erosion-in-continual-domain-adaptation-of-large-language-models",
"topic_slug": null,
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"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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