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/practical-cross-band-channel-prediction-for-ai-ran-via-physics-guided-deep-unfolding
Subject: Practical Cross-Band Channel Prediction for AI-RAN via Physics-Guided Deep Unfolding
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": 2, "author": "Ruiqi Kong; He Chen; Xiaojun Lin"
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": 2, "author": "Ruiqi Kong; He Chen; Xiaojun Lin", "title": "Practical Cross-Band Channel Prediction for AI-RAN via Physics-Guided Deep Unfolding", "creation date": "D:20260601011357+00'00'", "modification date": "D:20260601011357+00'00'", "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 2, "author": "Ruiqi Kong; He Chen; Xiaojun Lin", "title": "Practical Cross-Band Channel Prediction for AI-RAN via Physics-Guided Deep Unfolding", "creation date": "D:20260601011357+00'00'", "modification date": "D:20260601011357+00'00'", "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 2, "author": "Ruiqi Kong; He Chen; Xiaojun Lin", "title": "Practical Cross-Band Channel Prediction for AI-RAN via Physics-Guided Deep Unfolding", "creation date": "D:20260601011357+00'00'", "modification date": "D:20260601011357+00'00'", "kids": []}
Receipt path
/buildability/practical-cross-band-channel-prediction-for-ai-ran-via-physics-guided-deep-unfolding
Paper ref
practical-cross-band-channel-prediction-for-ai-ran-via-physics-guided-deep-unfolding
arXiv id
2605.31279
Generated at
2026-06-01T20:26:56.134Z
Evidence freshness
stale
Last verification
2026-06-01T20:26:56.134Z
Sources
3
References
0
Coverage
50%
Lineage hash
dfae08bcd4d897655b8dd7afbe6eda943210b651696618d665425ff8940e8d7f
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