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/dataevolver-automatic-data-preparation-for-large-language-models-through-multi-level-self-evolving
Subject: DataEvolver: Automatic Data Preparation for Large Language Models through Multi-Level Self-Evolving
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": 27, "author": "Chao Deng; Shaolei Zhang; Ju Fan; Xiaoyong Du"
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": 27, "author": "Chao Deng; Shaolei Zhang; Ju Fan; Xiaoyong Du", "title": "DataEvolver: Automatic Data Preparation for Large Language Models through Multi-Level Self-Evolving", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 27, "author": "Chao Deng; Shaolei Zhang; Ju Fan; Xiaoyong Du", "title": "DataEvolver: Automatic Data Preparation for Large Language Models through Multi-Level Self-Evolving", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 27, "author": "Chao Deng; Shaolei Zhang; Ju Fan; Xiaoyong Du", "title": "DataEvolver: Automatic Data Preparation for Large Language Models through Multi-Level Self-Evolving", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/dataevolver-automatic-data-preparation-for-large-language-models-through-multi-level-self-evolving
Paper ref
dataevolver-automatic-data-preparation-for-large-language-models-through-multi-level-self-evolving
arXiv id
2606.07001
Generated at
2026-06-08T17:16:28.760Z
Evidence freshness
fresh
Last verification
2026-06-08T17:16:28.760Z
Sources
4
References
0
Coverage
50%
Lineage hash
10be6fb51a9ee416db6d22e1d6e3b3620f20176669a7e3898f5bdd706f0f3ae4
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