Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
Use This Via API or MCP
Signal Canvas is the citation-first public layer for turning one paper into a structured commercialization narrative. Use it to hand off into REST, MCP, Build Loop, and launch-pack execution without losing source lineage.
Use This Via API or MCP
Route this paper proof surface into REST, MCP, or developer workflows while preserving the same evidence receipt and related-resource context.
Page Freshness
Canonical route: /signal-canvas/joint-routing-and-model-pruning-for-decentralized-federated-learning-in-bandwidth-constrained-multi-hop-wireless-network
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 joint-routing-and-model-pruning-for-decentralized-federated-learning-in-bandwidth-constrained-multi-hop-wireless-network | Route /signal-canvas/joint-routing-and-model-pruning-for-decentralized-federated-learning-in-bandwidth-constrained-multi-hop-wireless-network
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/joint-routing-and-model-pruning-for-decentralized-federated-learning-in-bandwidth-constrained-multi-hop-wireless-networkMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "joint-routing-and-model-pruning-for-decentralized-federated-learning-in-bandwidth-constrained-multi-hop-wireless-network",
"query_text": "Summarize Joint Routing and Model Pruning for Decentralized Federated Learning in Bandwidth-Constrained Multi-Hop Wireless Networks"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Joint Routing and Model Pruning for Decentralized Federated Learning in Bandwidth-Constrained Multi-Hop Wireless Networks",
"normalized_query": "2603.15188",
"route": "/signal-canvas/joint-routing-and-model-pruning-for-decentralized-federated-learning-in-bandwidth-constrained-multi-hop-wireless-network",
"paper_ref": "joint-routing-and-model-pruning-for-decentralized-federated-learning-in-bandwidth-constrained-multi-hop-wireless-network",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Joint Routing and Model Pruning for Decentralized Federated Learning in Bandwidth-Constrained Multi-Hop Wireless Networks
PDF: https://arxiv.org/pdf/2603.15188v1
Source count: Pending verification
Coverage: 33%
Last proof check: 2026-03-19T18:48:05.835Z
Signal Canvas receipt window
/buildability/joint-routing-and-model-pruning-for-decentralized-federated-learning-in-bandwidth-constrained-multi-hop-wireless-network
Subject: Joint Routing and Model Pruning for Decentralized Federated Learning in Bandwidth-Constrained Multi-Hop Wireless Networks
Verdict
Preparing verified analysis
Dimensions overall score 4.0
No public code linked for this paper yet.
CLAIM MAP
No public claim map is available for this paper yet.
Use an AI coding agent to implement this research.
Lightweight coding agent in your terminal.
Agentic coding tool for terminal workflows.
AI agent mindset installer and workflow scaffolder.
AI-first code editor built on VS Code.
Free, open-source editor by Microsoft.
6mo ROI
0.5-1x
3yr ROI
6-15x
GPU-heavy products have higher costs but premium pricing. Expect break-even by 12mo, then 40%+ margins at scale.
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/joint-routing-and-model-pruning-for-decentralized-federated-learning-in-bandwidth-constrained-multi-hop-wireless-network
Paper ref
joint-routing-and-model-pruning-for-decentralized-federated-learning-in-bandwidth-constrained-multi-hop-wireless-network
arXiv id
2603.15188
Generated at
2026-03-19T18:48:05.835Z
Evidence freshness
stale
Last verification
2026-03-19T18:48:05.835Z
Sources
0
References
0
Coverage
33%
Lineage hash
812060ed9f684cb1733279ec592a54b988125ec948778b6ac55f300fc837da02
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Verification pending / evidence receipt incomplete
repo_url
references