A-MAR: Agent-based Multimodal Art Retrieval for Fine-Grained Artwork Understanding explores A-MAR is an agent-based multimodal retrieval framework for fine-grained artwork understanding, enabling interpretable and grounded explanations.. Commercial viability score: 8/10 in Agents.
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Page Freshness
Canonical route: /paper/a-mar-agent-based-multimodal-art-retrieval-for-fine-grained-artwork-understanding
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Agent Handoff
Canonical ID a-mar-agent-based-multimodal-art-retrieval-for-fine-grained-artwork-understanding | Route /paper/a-mar-agent-based-multimodal-art-retrieval-for-fine-grained-artwork-understanding
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/a-mar-agent-based-multimodal-art-retrieval-for-fine-grained-artwork-understandingMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.19689"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "A-MAR: Agent-based Multimodal Art Retrieval for Fine-Grained Artwork Understanding",
"normalized_query": "2604.19689",
"route": "/paper/a-mar-agent-based-multimodal-art-retrieval-for-fine-grained-artwork-understanding",
"paper_ref": "a-mar-agent-based-multimodal-art-retrieval-for-fine-grained-artwork-understanding",
"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 8.0
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