CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/cans-accelerating-multiuser-collaborative-edge-inference-via-cooperative-autodidactic-neurosurgeon

ready

Proof freshness: fresh
Proof status: unverified
Display score: 0/10
Last proof check: 2026-06-09
Score updated: 2026-06-09
Score fresh until: 2026-07-09
References: 0
Source count: 3
Coverage: 50%

Page-specific freshness sourced from this paper's evidence receipt and score bundle.

Agent Handoff

Canonical ID cans-accelerating-multiuser-collaborative-edge-inference-via-cooperative-autodidactic-neurosurgeon | Route /signal-canvas/cans-accelerating-multiuser-collaborative-edge-inference-via-cooperative-autodidactic-neurosurgeon

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/cans-accelerating-multiuser-collaborative-edge-inference-via-cooperative-autodidactic-neurosurgeon

MCP example

{
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  "arguments": {
    "mode": "paper",
    "paper_ref": "cans-accelerating-multiuser-collaborative-edge-inference-via-cooperative-autodidactic-neurosurgeon",
    "query_text": "Summarize CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon"
  }
}

source_context

{
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  "mode": "paper",
  "query": "CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon",
  "normalized_query": "2606.09175",
  "route": "/signal-canvas/cans-accelerating-multiuser-collaborative-edge-inference-via-cooperative-autodidactic-neurosurgeon",
  "paper_ref": "cans-accelerating-multiuser-collaborative-edge-inference-via-cooperative-autodidactic-neurosurgeon",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 1

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon

PDF: https://arxiv.org/pdf/2606.09175v1

Source count: 3

Coverage: 50%

Last proof check: 2026-06-09T03:25:56.676Z

Signal Canvas receipt window

Not build-ready: CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon

/buildability/cans-accelerating-multiuser-collaborative-edge-inference-via-cooperative-autodidactic-neurosurgeon

Ignoreblocked

Subject: CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon

Verdict

Ignore

Verdict is Ignore because current viability and proof state do not clear the buildability gate.

CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon

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