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/internalizing-geometric-law-learning-from-solver-residuals-for-precision-critical-generation
Subject: Internalizing Geometric Law: Learning from Solver Residuals for Precision-Critical Generation
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": 24, "author": "Rafael Cabral; Pang Zixi; Ziyi Shou; Shen Xin"
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": 24, "author": "Rafael Cabral; Pang Zixi; Ziyi Shou; Shen Xin", "title": "Internalizing Geometric Law: Learning from Solver Residuals for Precision-Critical Generation", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 24, "author": "Rafael Cabral; Pang Zixi; Ziyi Shou; Shen Xin", "title": "Internalizing Geometric Law: Learning from Solver Residuals for Precision-Critical Generation", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 24, "author": "Rafael Cabral; Pang Zixi; Ziyi Shou; Shen Xin", "title": "Internalizing Geometric Law: Learning from Solver Residuals for Precision-Critical Generation", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/internalizing-geometric-law-learning-from-solver-residuals-for-precision-critical-generation
Paper ref
internalizing-geometric-law-learning-from-solver-residuals-for-precision-critical-generation
arXiv id
2606.09278
Generated at
2026-06-09T03:25:41.269Z
Evidence freshness
fresh
Last verification
2026-06-09T03:25:41.269Z
Sources
4
References
0
Coverage
67%
Lineage hash
bfacb5c9b14c0f62c4d7a5796bc3f567b6546520ddc4c148a5df10f8a3eab8c9
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.
references
proof_status