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/intentional-updates-for-streaming-reinforcement-learning
Subject: Intentional Updates for Streaming Reinforcement Learning
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": 19, "author": "Arsalan Sharifnassab; Mohamed Elsayed; Kris De Asis; A. Rupam Mahmood; Richard S. Sutton"
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": 19, "author": "Arsalan Sharifnassab; Mohamed Elsayed; Kris De Asis; A. Rupam Mahmood; Richard S. Sutton", "title": "Intentional Updates for Streaming Reinforcement Learning", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 19, "author": "Arsalan Sharifnassab; Mohamed Elsayed; Kris De Asis; A. Rupam Mahmood; Richard S. Sutton", "title": "Intentional Updates for Streaming Reinforcement Learning", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 19, "author": "Arsalan Sharifnassab; Mohamed Elsayed; Kris De Asis; A. Rupam Mahmood; Richard S. Sutton", "title": "Intentional Updates for Streaming Reinforcement Learning", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/intentional-updates-for-streaming-reinforcement-learning
Paper ref
intentional-updates-for-streaming-reinforcement-learning
arXiv id
2604.19033
Generated at
2026-04-22T02:16:44.559Z
Evidence freshness
stale
Last verification
2026-04-22T02:16:44.559Z
Sources
3
References
31
Coverage
67%
Lineage hash
d35e0989ae61a20d7703284ed666429a83759ea417e3852fdd4af90e0ff13f2d
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