Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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Page Freshness
Canonical route: /signal-canvas/practical-cross-band-channel-prediction-for-ai-ran-via-physics-guided-deep-unfolding
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Canonical ID practical-cross-band-channel-prediction-for-ai-ran-via-physics-guided-deep-unfolding | Route /signal-canvas/practical-cross-band-channel-prediction-for-ai-ran-via-physics-guided-deep-unfolding
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/practical-cross-band-channel-prediction-for-ai-ran-via-physics-guided-deep-unfoldingMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "practical-cross-band-channel-prediction-for-ai-ran-via-physics-guided-deep-unfolding",
"query_text": "Summarize Practical Cross-Band Channel Prediction for AI-RAN via Physics-Guided Deep Unfolding"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Practical Cross-Band Channel Prediction for AI-RAN via Physics-Guided Deep Unfolding",
"normalized_query": "2605.31279",
"route": "/signal-canvas/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",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Practical Cross-Band Channel Prediction for AI-RAN via Physics-Guided Deep Unfolding
PDF: https://arxiv.org/pdf/2605.31279v1
Source count: 3
Coverage: 50%
Last proof check: 2026-06-01T20:26:56.134Z
Signal Canvas 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.
Preparing verified analysis
Dimensions overall score 4.0
No public code linked for this paper yet.
{"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"
Implication not extracted yet.
partial
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
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.
Pending verification refs / 3 sources / Verification pending
repo_url
references