Buildability / Receipt
This public receipt window renders only fields present in the canonical receipt object, deterministic fixture receipt, or canonical evidence receipt. Missing compute, demo, hash, signature, approval, telemetry, and adoption fields stay explicit.
Public buildability page receipt window
/buildability/a-multi-agent-system-for-ipmsm-design-optimization-via-an-fea-ai-hybrid-approach
Subject: A Multi-Agent System for IPMSM Design Optimization via an FEA-AI Hybrid Approach
Verdict
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.
Data
{"file name": "input.pdf", "number of pages": 26, "author": "Jinseong Han; Sunwoong Yang; Namwoo Kang"
Truth Boundary
Buildability surfaces only report computed viability and proof receipts. They do not claim live production usage, pilot outcomes, founder sign-off, public Brier calibration, judge divergence, or external adoption unless explicitly sourced.
Compute
{"file name": "input.pdf", "number of pages": 26, "author": "Jinseong Han; Sunwoong Yang; Namwoo Kang", "title": "A Multi-Agent System for IPMSM Design Optimization via an FEA-AI Hybrid Approach", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 26, "author": "Jinseong Han; Sunwoong Yang; Namwoo Kang", "title": "A Multi-Agent System for IPMSM Design Optimization via an FEA-AI Hybrid Approach", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 26, "author": "Jinseong Han; Sunwoong Yang; Namwoo Kang", "title": "A Multi-Agent System for IPMSM Design Optimization via an FEA-AI Hybrid Approach", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/a-multi-agent-system-for-ipmsm-design-optimization-via-an-fea-ai-hybrid-approach
Paper ref
a-multi-agent-system-for-ipmsm-design-optimization-via-an-fea-ai-hybrid-approach
arXiv id
2606.09037
Generated at
2026-06-09T03:26:40.211Z
Evidence freshness
fresh
Last verification
2026-06-09T03:26:40.211Z
Sources
3
References
0
Coverage
50%
Lineage hash
c2600561b0d7abae9433bb991b82c5194f8e8992587920dded925426a9ebbce5
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.
Canonical opportunity-kernel evidence is available for this receipt window.
repo_url
references