IoT-Brain: Grounding LLMs for Semantic-Spatial Sensor Scheduling explores IoT-Brain bridges LLMs and sensor networks for proactive, intent-driven physical world interaction through semantic-spatial sensor scheduling.. Commercial viability score: 8/10 in AI Agents.
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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/iot-brain-grounding-llms-for-semantic-spatial-sensor-scheduling
Proof data is outside the preferred freshness window.
Proof Quality
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Commercialization rails stay hidden until proof clears: proof_status, references_count.
Search indexing stays off until proof clears: proof_status, references_count.
Agent Handoff
Canonical ID iot-brain-grounding-llms-for-semantic-spatial-sensor-scheduling | Route /paper/iot-brain-grounding-llms-for-semantic-spatial-sensor-scheduling
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/iot-brain-grounding-llms-for-semantic-spatial-sensor-schedulingMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.08033"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "IoT-Brain: Grounding LLMs for Semantic-Spatial Sensor Scheduling",
"normalized_query": "2604.08033",
"route": "/paper/iot-brain-grounding-llms-for-semantic-spatial-sensor-scheduling",
"paper_ref": "iot-brain-grounding-llms-for-semantic-spatial-sensor-scheduling",
"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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