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/context-aware-deep-learning-for-defect-classification-in-atomic-resolution-stem
Subject: Context-Aware Deep Learning for Defect Classification in Atomic-Resolution STEM
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": 30, "author": "Jiadong Dan; Cheng Zhang; Leyi Loh; Ivan Verzhbitskiy; Yuan Chen; Goki Eda; Michel Bosman; N. Duane Loh"
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": 30, "author": "Jiadong Dan; Cheng Zhang; Leyi Loh; Ivan Verzhbitskiy; Yuan Chen; Goki Eda; Michel Bosman; N. Duane Loh", "title": "Context-Aware Deep Learning for Defect Classification in Atomic-Resolution STEM", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 30, "author": "Jiadong Dan; Cheng Zhang; Leyi Loh; Ivan Verzhbitskiy; Yuan Chen; Goki Eda; Michel Bosman; N. Duane Loh", "title": "Context-Aware Deep Learning for Defect Classification in Atomic-Resolution STEM", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 30, "author": "Jiadong Dan; Cheng Zhang; Leyi Loh; Ivan Verzhbitskiy; Yuan Chen; Goki Eda; Michel Bosman; N. Duane Loh", "title": "Context-Aware Deep Learning for Defect Classification in Atomic-Resolution STEM", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/context-aware-deep-learning-for-defect-classification-in-atomic-resolution-stem
Paper ref
context-aware-deep-learning-for-defect-classification-in-atomic-resolution-stem
arXiv id
2606.09419
Generated at
2026-06-09T03:25:10.445Z
Evidence freshness
fresh
Last verification
2026-06-09T03:25:10.445Z
Sources
3
References
0
Coverage
50%
Lineage hash
a8243aee21ee88286564acddb968fb28e2a4580a65c51a24fe9c58ff5f2da182
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