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/grounded-world-model-for-semantically-generalizable-planning
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 grounded-world-model-for-semantically-generalizable-planning | Route /signal-canvas/grounded-world-model-for-semantically-generalizable-planning
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/grounded-world-model-for-semantically-generalizable-planningMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "grounded-world-model-for-semantically-generalizable-planning",
"query_text": "Summarize Grounded World Model for Semantically Generalizable Planning"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Grounded World Model for Semantically Generalizable Planning",
"normalized_query": "2604.11751",
"route": "/signal-canvas/grounded-world-model-for-semantically-generalizable-planning",
"paper_ref": "grounded-world-model-for-semantically-generalizable-planning",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Grounded World Model for Semantically Generalizable Planning
PDF: https://arxiv.org/pdf/2604.11751v1
Source count: 4
Coverage: 67%
Last proof check: 2026-04-14T20:32:55.304Z
Signal Canvas receipt window
/buildability/grounded-world-model-for-semantically-generalizable-planning
Subject: Grounded World Model for Semantically Generalizable Planning
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
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.
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/grounded-world-model-for-semantically-generalizable-planning
Paper ref
grounded-world-model-for-semantically-generalizable-planning
arXiv id
2604.11751
Generated at
2026-04-14T20:32:55.304Z
Evidence freshness
stale
Last verification
2026-04-14T20:32:55.304Z
Sources
4
References
0
Coverage
67%
Lineage hash
6fc8f07824bf4e62f57382f8673f8b664d49ff88e4b78a716da1191d4c90b3ae
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.
Pending verification refs / 4 sources / Verification pending
repo_url
references