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/learning-from-less-measuring-the-effectiveness-of-rlvr-in-low-data-and-compute-regimes
Subject: Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes
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": 12, "author": "Justin Bauer; Thomas Walshe; Derek Pham; Harit Vishwakarma; Armin Parchami; Frederic Sala; Paroma Varma"
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": "Justin Bauer; Thomas Walshe; Derek Pham; Harit Vishwakarma; Armin Parchami; Frederic Sala; Paroma Varma", "title": "Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes", "creation date": null, "modification date": null
Inference
{"file name": "input.pdf", "number of pages": 12, "author": "Justin Bauer; Thomas Walshe; Derek Pham; Harit Vishwakarma; Armin Parchami; Frederic Sala; Paroma Varma", "title": "Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes", "creation date": null, "modification date": null
Hardware
{"file name": "input.pdf", "number of pages": 12, "author": "Justin Bauer; Thomas Walshe; Derek Pham; Harit Vishwakarma; Armin Parchami; Frederic Sala; Paroma Varma", "title": "Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes", "creation date": null, "modification date": null
Receipt path
/buildability/learning-from-less-measuring-the-effectiveness-of-rlvr-in-low-data-and-compute-regimes
Paper ref
learning-from-less-measuring-the-effectiveness-of-rlvr-in-low-data-and-compute-regimes
arXiv id
2604.18381
Generated at
2026-04-21T04:19:10.098Z
Evidence freshness
stale
Last verification
2026-04-21T04:19:10.098Z
Sources
3
References
0
Coverage
50%
Lineage hash
a0a0389e3776b21321180208dfa5abf0458314ed55ab5f780506f950c9043cdd
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