SensingAgents: A Multi-Agent Collaborative Framework for Robust IMU Activity Recognition

SensingAgents: A Multi-Agent Collaborative Framework for Robust IMU Activity Recognition | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/sensingagents-a-multi-agent-collaborative-framework-for-robust-imu-activity-recognition

stale

Proof freshness: stale
Proof status: unverified
Display score: 8/10
Last proof check: 2026-05-07
Score updated: 2026-05-07
Score fresh until: 2026-06-06
References: 0
Source count: 3
Coverage: 50%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

Agent Handoff

Canonical ID sensingagents-a-multi-agent-collaborative-framework-for-robust-imu-activity-recognition | Route /signal-canvas/sensingagents-a-multi-agent-collaborative-framework-for-robust-imu-activity-recognition

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/sensingagents-a-multi-agent-collaborative-framework-for-robust-imu-activity-recognition

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "sensingagents-a-multi-agent-collaborative-framework-for-robust-imu-activity-recognition",
    "query_text": "Summarize SensingAgents: A Multi-Agent Collaborative Framework for Robust IMU Activity Recognition"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "SensingAgents: A Multi-Agent Collaborative Framework for Robust IMU Activity Recognition",
  "normalized_query": "2605.04608",
  "route": "/signal-canvas/sensingagents-a-multi-agent-collaborative-framework-for-robust-imu-activity-recognition",
  "paper_ref": "sensingagents-a-multi-agent-collaborative-framework-for-robust-imu-activity-recognition",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: SensingAgents: A Multi-Agent Collaborative Framework for Robust IMU Activity Recognition

PDF: https://arxiv.org/pdf/2605.04608v1

Source count: 3

Coverage: 50%

Last proof check: 2026-05-07T20:23:43.119Z

Signal Canvas receipt window

Watch and verify: SensingAgents: A Multi-Agent Collaborative Framework for Robust IMU Activity Recognition

/buildability/sensingagents-a-multi-agent-collaborative-framework-for-robust-imu-activity-recognition

Watchwatch

Subject: SensingAgents: A Multi-Agent Collaborative Framework for Robust IMU Activity Recognition

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

SensingAgents: A Multi-Agent Collaborative Framework for Robust IMU Activity Recognition

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