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/reward-learning-from-best-of-n-preference-data-targets-tradeoffs-and-design-principles
Subject: Reward Learning from Best-of-$N$ Preference Data: Targets, Tradeoffs, and Design Principles
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": 44, "author": "Rattana Pukdee; Maria-Florina Balcan; Pradeep Ravikumar"
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": 44, "author": "Rattana Pukdee; Maria-Florina Balcan; Pradeep Ravikumar", "title": "Reward Learning from Best-of-N Preference Data: Targets, Tradeoffs, and Design Principles", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 44, "author": "Rattana Pukdee; Maria-Florina Balcan; Pradeep Ravikumar", "title": "Reward Learning from Best-of-N Preference Data: Targets, Tradeoffs, and Design Principles", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 44, "author": "Rattana Pukdee; Maria-Florina Balcan; Pradeep Ravikumar", "title": "Reward Learning from Best-of-N Preference Data: Targets, Tradeoffs, and Design Principles", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/reward-learning-from-best-of-n-preference-data-targets-tradeoffs-and-design-principles
Paper ref
reward-learning-from-best-of-n-preference-data-targets-tradeoffs-and-design-principles
arXiv id
2605.30619
Generated at
2026-06-01T20:34:18.020Z
Evidence freshness
stale
Last verification
2026-06-01T20:34:18.020Z
Sources
3
References
0
Coverage
50%
Lineage hash
5a652b7aacb2ad8906c3a1933a25a2b0d2d9efb15a78a3907a2cd68e8a053d55
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
references