proof blockPage 368%
This equation captures one of the core mathematical components of the system. straints (≤4 scenes, ≤3 mechanics/scene); cov-
GAMED.AI: A Hierarchical Multi-Agent Framework for Automated Educational Game Generation explores A hierarchical multi-agent framework that transforms instructor-provided questions into playable educational games, validated through formal contracts and demonstrated to generate games in under 60 seconds.. Commercial viability score: 8/10 in Generative AI.
Use This Via API or MCP
This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Page Freshness
Canonical route: /paper/gamed-ai-a-hierarchical-multi-agent-framework-for-automated-educational-game-generation
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID gamed-ai-a-hierarchical-multi-agent-framework-for-automated-educational-game-generation | Route /paper/gamed-ai-a-hierarchical-multi-agent-framework-for-automated-educational-game-generation
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/gamed-ai-a-hierarchical-multi-agent-framework-for-automated-educational-game-generationMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.23947"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "GAMED.AI: A Hierarchical Multi-Agent Framework for Automated Educational Game Generation",
"normalized_query": "2604.23947",
"route": "/paper/gamed-ai-a-hierarchical-multi-agent-framework-for-automated-educational-game-generation",
"paper_ref": "gamed-ai-a-hierarchical-multi-agent-framework-for-automated-educational-game-generation",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Paper proof page receipt window
/buildability/gamed-ai-a-hierarchical-multi-agent-framework-for-automated-educational-game-generation
Subject: GAMED.AI: A Hierarchical Multi-Agent Framework for Automated Educational Game Generation
Verdict
Watch
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.
Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
Research neighborhood
Interactive graph renders after load.
Preparing verified analysis
Dimensions overall score 8.0
Visual citation anchors from the paper document graph.
This equation captures one of the core mathematical components of the system. straints (≤4 scenes, ≤3 mechanics/scene); cov-
Owned Distribution
Get the weekly shortlist of commercializable papers, benchmark movers, and proof receipts that matter for product execution.
References are not available from the internal index yet.
Receipt path
/buildability/gamed-ai-a-hierarchical-multi-agent-framework-for-automated-educational-game-generation
Paper ref
gamed-ai-a-hierarchical-multi-agent-framework-for-automated-educational-game-generation
arXiv id
2604.23947
Generated at
2026-04-28T15:18:42.727Z
Evidence freshness
fresh
Last verification
2026-04-28T15:18:42.727Z
Sources
3
References
0
Coverage
50%
Lineage hash
c85fc18d4f118c98f03e2674a411f22bc1b835e15a9fea80bb49a38a494157a8
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 / 3 sources / Verification pending
repo_url
references
Page and bbox are available; crop image is pending.
This equation captures one of the core mathematical components of the system. FOL-based Validation bloom(g)=bloom(b) op_count ≥ τ feedback |= Bloom Figure 2: GAMED.AI DAG archite
Page and bbox are available; crop image is pending.
This equation captures one of the core mathematical components of the system. Bloom’s alignment predicates: bloom(g) = bloom(b), op_count ≥τ, and feedback |= Bloom. Inter-agent
Page and bbox are available; crop image is pending.
No public competitor map is available for this paper yet.