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/covillm-an-adaptive-human-robot-collaborative-assembly-framework-using-large-language-models-for-manufacturing
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 covillm-an-adaptive-human-robot-collaborative-assembly-framework-using-large-language-models-for-manufacturing | Route /signal-canvas/covillm-an-adaptive-human-robot-collaborative-assembly-framework-using-large-language-models-for-manufacturing
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/covillm-an-adaptive-human-robot-collaborative-assembly-framework-using-large-language-models-for-manufacturingMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "covillm-an-adaptive-human-robot-collaborative-assembly-framework-using-large-language-models-for-manufacturing",
"query_text": "Summarize CoViLLM: An Adaptive Human-Robot Collaborative Assembly Framework Using Large Language Models for Manufacturing"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "CoViLLM: An Adaptive Human-Robot Collaborative Assembly Framework Using Large Language Models for Manufacturing",
"normalized_query": "2603.11461",
"route": "/signal-canvas/covillm-an-adaptive-human-robot-collaborative-assembly-framework-using-large-language-models-for-manufacturing",
"paper_ref": "covillm-an-adaptive-human-robot-collaborative-assembly-framework-using-large-language-models-for-manufacturing",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: CoViLLM: An Adaptive Human-Robot Collaborative Assembly Framework Using Large Language Models for Manufacturing
PDF: https://arxiv.org/pdf/2603.11461v1
Source count: Pending verification
Coverage: 17%
Last proof check: 2026-04-02T02:30:40.136Z
Signal Canvas receipt window
/buildability/covillm-an-adaptive-human-robot-collaborative-assembly-framework-using-large-language-models-for-manufacturing
Subject: CoViLLM: An Adaptive Human-Robot Collaborative Assembly Framework Using Large Language Models for Manufacturing
Verdict
Watch
Preparing verified analysis
Dimensions overall score 7.0
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.
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
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/covillm-an-adaptive-human-robot-collaborative-assembly-framework-using-large-language-models-for-manufacturing
Paper ref
covillm-an-adaptive-human-robot-collaborative-assembly-framework-using-large-language-models-for-manufacturing
arXiv id
2603.11461
Generated at
2026-04-02T02:30:40.136Z
Evidence freshness
stale
Last verification
2026-04-02T02:30:40.136Z
Sources
0
References
0
Coverage
17%
Lineage hash
5dc8b267e7386612e2ce36399e89aebecae2878e7fcd8929ceba61df647f8166
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