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/environmental-sound-deepfake-detection-using-deep-learning-framework
Subject: Environmental Sound Deepfake Detection Using Deep-Learning Framework
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": 6, "author": "Lam Pham; Khoi Vu; Dat Tran; Phat Lam; Vu Nguyen; David Fischinger; Alexander Schindler; Martin Boyer; Son Le"
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": 6, "author": "Lam Pham; Khoi Vu; Dat Tran; Phat Lam; Vu Nguyen; David Fischinger; Alexander Schindler; Martin Boyer; Son Le", "title": "Environmental Sound Deepfake Detection Using Deep-Learning Framework", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 6, "author": "Lam Pham; Khoi Vu; Dat Tran; Phat Lam; Vu Nguyen; David Fischinger; Alexander Schindler; Martin Boyer; Son Le", "title": "Environmental Sound Deepfake Detection Using Deep-Learning Framework", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 6, "author": "Lam Pham; Khoi Vu; Dat Tran; Phat Lam; Vu Nguyen; David Fischinger; Alexander Schindler; Martin Boyer; Son Le", "title": "Environmental Sound Deepfake Detection Using Deep-Learning Framework", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/environmental-sound-deepfake-detection-using-deep-learning-framework
Paper ref
environmental-sound-deepfake-detection-using-deep-learning-framework
arXiv id
2604.19652
Generated at
2026-04-22T03:20:13.679Z
Evidence freshness
stale
Last verification
2026-04-22T03:20:13.679Z
Sources
3
References
0
Coverage
50%
Lineage hash
700c834fd744d163a50c5f4480648d105b53cadde4cd6a3776571bf07878fea8
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