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/gradient-based-program-synthesis-with-neurally-interpreted-languages
Subject: Gradient-Based Program Synthesis with Neurally Interpreted Languages
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": 26, "author": "Matthew V. Macfarlane; Cl\u00e9ment Bonnet; Herke van Hoof; Levi H. S. Lelis"
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": 26, "author": "Matthew V. Macfarlane; Cl\u00e9ment Bonnet; Herke van Hoof; Levi H. S. Lelis", "title": "Gradient-Based Program Synthesis with Neurally Interpreted Languages", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 26, "author": "Matthew V. Macfarlane; Cl\u00e9ment Bonnet; Herke van Hoof; Levi H. S. Lelis", "title": "Gradient-Based Program Synthesis with Neurally Interpreted Languages", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 26, "author": "Matthew V. Macfarlane; Cl\u00e9ment Bonnet; Herke van Hoof; Levi H. S. Lelis", "title": "Gradient-Based Program Synthesis with Neurally Interpreted Languages", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/gradient-based-program-synthesis-with-neurally-interpreted-languages
Paper ref
gradient-based-program-synthesis-with-neurally-interpreted-languages
arXiv id
2604.18907
Generated at
2026-04-22T20:35:03.837Z
Evidence freshness
stale
Last verification
2026-04-22T20:35:03.837Z
Sources
3
References
0
Coverage
50%
Lineage hash
a125904381a70108e3ba01e7fa7f1eaee66c9a31e66564d71070bf78f7de0851
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