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/scalable-uncertainty-quantification-for-extreme-weather-forecasting-via-empirical-neural-tangent-kernels
Subject: Scalable Uncertainty Quantification for Extreme Weather Forecasting via Empirical Neural Tangent Kernels
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.
Data
{"file name": "input.pdf", "number of pages": 15, "author": "Jose Marie Antonio Mi\u00f1oza; Rex Gregor Laylo; Sebastian C. Iba\u00f1ez"
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": 15, "author": "Jose Marie Antonio Mi\u00f1oza; Rex Gregor Laylo; Sebastian C. Iba\u00f1ez", "title": "Scalable Uncertainty Quantification for Extreme Weather Forecasting via Empirical Neural Tangent Kernels", "creation date": "D:20260603001512+00'00'"
Inference
{"file name": "input.pdf", "number of pages": 15, "author": "Jose Marie Antonio Mi\u00f1oza; Rex Gregor Laylo; Sebastian C. Iba\u00f1ez", "title": "Scalable Uncertainty Quantification for Extreme Weather Forecasting via Empirical Neural Tangent Kernels", "creation date": "D:20260603001512+00'00'"
Hardware
{"file name": "input.pdf", "number of pages": 15, "author": "Jose Marie Antonio Mi\u00f1oza; Rex Gregor Laylo; Sebastian C. Iba\u00f1ez", "title": "Scalable Uncertainty Quantification for Extreme Weather Forecasting via Empirical Neural Tangent Kernels", "creation date": "D:20260603001512+00'00'"
Receipt path
/buildability/scalable-uncertainty-quantification-for-extreme-weather-forecasting-via-empirical-neural-tangent-kernels
Paper ref
scalable-uncertainty-quantification-for-extreme-weather-forecasting-via-empirical-neural-tangent-kernels
arXiv id
2606.02886
Generated at
2026-06-03T20:46:19.774Z
Evidence freshness
fresh
Last verification
2026-06-03T20:46:19.774Z
Sources
3
References
0
Coverage
50%
Lineage hash
4c0c6134fb8be1d6040492109388ab6b99c3cfb53187610f670590abe1ffc3a1
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