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/mlevolve-a-self-evolving-framework-for-automated-machine-learning-algorithm-discovery
Subject: MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery
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": 23, "author": "Shangheng Du; Xiangchao Yan; Jinxin Shi; Zongsheng Cao; Shiyang Feng; Zichen Liang; Boyuan Sun; Tianshuo Peng
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": 23, "author": "Shangheng Du; Xiangchao Yan; Jinxin Shi; Zongsheng Cao; Shiyang Feng; Zichen Liang; Boyuan Sun; Tianshuo Peng; Yifan Zhou; Xin Li; Jie Zhou; Liang He; Bo Zhang; Lei Bai"
Inference
{"file name": "input.pdf", "number of pages": 23, "author": "Shangheng Du; Xiangchao Yan; Jinxin Shi; Zongsheng Cao; Shiyang Feng; Zichen Liang; Boyuan Sun; Tianshuo Peng; Yifan Zhou; Xin Li; Jie Zhou; Liang He; Bo Zhang; Lei Bai"
Hardware
{"file name": "input.pdf", "number of pages": 23, "author": "Shangheng Du; Xiangchao Yan; Jinxin Shi; Zongsheng Cao; Shiyang Feng; Zichen Liang; Boyuan Sun; Tianshuo Peng; Yifan Zhou; Xin Li; Jie Zhou; Liang He; Bo Zhang; Lei Bai"
Receipt path
/buildability/mlevolve-a-self-evolving-framework-for-automated-machine-learning-algorithm-discovery
Paper ref
mlevolve-a-self-evolving-framework-for-automated-machine-learning-algorithm-discovery
arXiv id
2606.06473
Generated at
2026-06-06T11:26:34.562Z
Evidence freshness
fresh
Last verification
2026-06-06T11:26:34.562Z
Sources
4
References
0
Coverage
83%
Lineage hash
d08d8a34583fa03f884dd0db52c22ccd4f262a7df8bf05b49a1fdae7fec8d7ad
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