SCMAPR: Self-Correcting Multi-Agent Prompt Refinement for Complex-Scenario Text-to-Video Generation explores A multi-agent framework that refines text prompts for complex text-to-video scenarios, improving alignment and generation quality with a new benchmark.. Commercial viability score: 8/10 in Text-to-Video Generation.
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Page Freshness
Canonical route: /paper/scmapr-self-correcting-multi-agent-prompt-refinement-for-complex-scenario-text-to-video-generation
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Agent Handoff
Canonical ID scmapr-self-correcting-multi-agent-prompt-refinement-for-complex-scenario-text-to-video-generation | Route /paper/scmapr-self-correcting-multi-agent-prompt-refinement-for-complex-scenario-text-to-video-generation
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/scmapr-self-correcting-multi-agent-prompt-refinement-for-complex-scenario-text-to-video-generationMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.05489"
}
}source_context
{
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"paper_ref": "scmapr-self-correcting-multi-agent-prompt-refinement-for-complex-scenario-text-to-video-generation",
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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 8.0
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