DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding explores A structured reasoning framework for multimodal LLMs to improve understanding of long documents by localizing and grounding evidence.. Commercial viability score: 8/10 in Agents.
Use This Via API or MCP
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/docseeker-structured-visual-reasoning-with-evidence-grounding-for-long-document-understanding
Verification is still converging across references, source coverage, and proof checks.
Proof Quality
One canonical proof ledger now drives the badge, counts, indexing, and commercialization gating.
Commercialization rails stay hidden until proof clears: proof_status, references_count.
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Agent Handoff
Canonical ID docseeker-structured-visual-reasoning-with-evidence-grounding-for-long-document-understanding | Route /paper/docseeker-structured-visual-reasoning-with-evidence-grounding-for-long-document-understanding
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/docseeker-structured-visual-reasoning-with-evidence-grounding-for-long-document-understandingMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.12812"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding",
"normalized_query": "2604.12812",
"route": "/paper/docseeker-structured-visual-reasoning-with-evidence-grounding-for-long-document-understanding",
"paper_ref": "docseeker-structured-visual-reasoning-with-evidence-grounding-for-long-document-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.
Research neighborhood
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Preparing verified analysis
Dimensions overall score 8.0
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