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/tool-aware-optimization-with-entropy-guidance-for-efficient-agentic-reinforcement-learning
Subject: Tool-Aware Optimization with Entropy Guidance for Efficient Agentic Reinforcement Learning
Verdict
Build Now
Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.
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": "Hongye Cao; Nuo Yan; Haoyuan Deng; Ziwei Wang; Tianpei Yang; Jing Huo; Yuyao Zhang; Yang Gao"
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": "Hongye Cao; Nuo Yan; Haoyuan Deng; Ziwei Wang; Tianpei Yang; Jing Huo; Yuyao Zhang; Yang Gao", "title": "Tool-Aware Optimization with Entropy Guidance for Efficient Agentic Reinforcement Learning", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 23, "author": "Hongye Cao; Nuo Yan; Haoyuan Deng; Ziwei Wang; Tianpei Yang; Jing Huo; Yuyao Zhang; Yang Gao", "title": "Tool-Aware Optimization with Entropy Guidance for Efficient Agentic Reinforcement Learning", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 23, "author": "Hongye Cao; Nuo Yan; Haoyuan Deng; Ziwei Wang; Tianpei Yang; Jing Huo; Yuyao Zhang; Yang Gao", "title": "Tool-Aware Optimization with Entropy Guidance for Efficient Agentic Reinforcement Learning", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/tool-aware-optimization-with-entropy-guidance-for-efficient-agentic-reinforcement-learning
Paper ref
tool-aware-optimization-with-entropy-guidance-for-efficient-agentic-reinforcement-learning
arXiv id
2606.03762
Generated at
2026-06-03T20:32:57.998Z
Evidence freshness
fresh
Last verification
2026-06-03T20:32:57.998Z
Sources
4
References
0
Coverage
83%
Lineage hash
53a8218b6fa5e1241ef0a45175404998450846b1645a9101b6ec34cfc1e28f6b
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