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/gpu-forecasters-language-models-as-selective-surrogates-for-kernel-runtime-optimization
Subject: GPU Forecasters: Language Models as Selective Surrogates for Kernel Runtime Optimization
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": 36, "author": "Zaid Khan; Justin Chih-Yao Chen; Jaemin Cho; Elias Stengel-Eskin; Mohit Bansal"
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": 36, "author": "Zaid Khan; Justin Chih-Yao Chen; Jaemin Cho; Elias Stengel-Eskin; Mohit Bansal", "title": "GPU Forecasters: Language Models as Selective Surrogates for Kernel Runtime Optimization", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 36, "author": "Zaid Khan; Justin Chih-Yao Chen; Jaemin Cho; Elias Stengel-Eskin; Mohit Bansal", "title": "GPU Forecasters: Language Models as Selective Surrogates for Kernel Runtime Optimization", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 36, "author": "Zaid Khan; Justin Chih-Yao Chen; Jaemin Cho; Elias Stengel-Eskin; Mohit Bansal", "title": "GPU Forecasters: Language Models as Selective Surrogates for Kernel Runtime Optimization", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/gpu-forecasters-language-models-as-selective-surrogates-for-kernel-runtime-optimization
Paper ref
gpu-forecasters-language-models-as-selective-surrogates-for-kernel-runtime-optimization
arXiv id
2605.31464
Generated at
2026-06-01T20:21:31.289Z
Evidence freshness
stale
Last verification
2026-06-01T20:21:31.289Z
Sources
4
References
0
Coverage
67%
Lineage hash
3177a199308ae0f56a03268563557bb5dcacb3e9e2be430c2d0296ebd09ea01f
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.
references
proof_status