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/defined-a-data-efficient-computational-framework-for-fine-grained-creativity-assessment-in-debate-scenarios
Subject: DEFINED: A Data-Efficient Computational Framework for Fine-Grained Creativity Assessment in Debate Scenarios
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": 12, "author": "Tongzhou Yu; Mingjia Li; Hong Qian; Wenkai Wang; Zongbao Zhang; Yaoyu Jiang; Xiangfeng Wang; Aimin Zhou; Jiajun Guo"
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": 12, "author": "Tongzhou Yu; Mingjia Li; Hong Qian; Wenkai Wang; Zongbao Zhang; Yaoyu Jiang; Xiangfeng Wang; Aimin Zhou; Jiajun Guo", "title": "DEFINED: A Data-Efficient Computational Framework for Fine-Grained Creativity Assessment in Debate Scenarios"
Inference
{"file name": "input.pdf", "number of pages": 12, "author": "Tongzhou Yu; Mingjia Li; Hong Qian; Wenkai Wang; Zongbao Zhang; Yaoyu Jiang; Xiangfeng Wang; Aimin Zhou; Jiajun Guo", "title": "DEFINED: A Data-Efficient Computational Framework for Fine-Grained Creativity Assessment in Debate Scenarios"
Hardware
{"file name": "input.pdf", "number of pages": 12, "author": "Tongzhou Yu; Mingjia Li; Hong Qian; Wenkai Wang; Zongbao Zhang; Yaoyu Jiang; Xiangfeng Wang; Aimin Zhou; Jiajun Guo", "title": "DEFINED: A Data-Efficient Computational Framework for Fine-Grained Creativity Assessment in Debate Scenarios"
Receipt path
/buildability/defined-a-data-efficient-computational-framework-for-fine-grained-creativity-assessment-in-debate-scenarios
Paper ref
defined-a-data-efficient-computational-framework-for-fine-grained-creativity-assessment-in-debate-scenarios
arXiv id
2606.07226
Generated at
2026-06-08T17:15:28.919Z
Evidence freshness
fresh
Last verification
2026-06-08T17:15:28.919Z
Sources
3
References
0
Coverage
50%
Lineage hash
5741f0f6a8b49238bd4c65be86393da2b52d4d09201ccdf7c6853c039e74c1a8
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