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/bounded-ratio-reinforcement-learning
Subject: Bounded Ratio Reinforcement Learning
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": 23, "author": "Yunke Ao; Le Chen; Bruce D. Lee; Assefa S. Wahd; Aline Czarnobai; Philipp F\u00fcrnstahl; Bernhard Sch\u00f6lkopf
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": "Yunke Ao; Le Chen; Bruce D. Lee; Assefa S. Wahd; Aline Czarnobai; Philipp F\u00fcrnstahl; Bernhard Sch\u00f6lkopf; Andreas Krause", "title": "Bounded Ratio Reinforcement Learning", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 23, "author": "Yunke Ao; Le Chen; Bruce D. Lee; Assefa S. Wahd; Aline Czarnobai; Philipp F\u00fcrnstahl; Bernhard Sch\u00f6lkopf; Andreas Krause", "title": "Bounded Ratio Reinforcement Learning", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 23, "author": "Yunke Ao; Le Chen; Bruce D. Lee; Assefa S. Wahd; Aline Czarnobai; Philipp F\u00fcrnstahl; Bernhard Sch\u00f6lkopf; Andreas Krause", "title": "Bounded Ratio Reinforcement Learning", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/bounded-ratio-reinforcement-learning
Paper ref
bounded-ratio-reinforcement-learning
arXiv id
2604.18578
Generated at
2026-04-21T04:18:07.606Z
Evidence freshness
stale
Last verification
2026-04-21T04:18:07.606Z
Sources
3
References
39
Coverage
67%
Lineage hash
349cdc8cc116f1cfce3f90a542ce75d26986db3a4ce439273db78b57dbbb52e4
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.
Some score or evidence fields are outside the preferred freshness window.
repo_url
proof_status