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/exai5g-a-logic-based-explainable-ai-framework-for-intrusion-detection-in-5g-networks
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 exai5g-a-logic-based-explainable-ai-framework-for-intrusion-detection-in-5g-networks | Route /signal-canvas/exai5g-a-logic-based-explainable-ai-framework-for-intrusion-detection-in-5g-networks
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/exai5g-a-logic-based-explainable-ai-framework-for-intrusion-detection-in-5g-networksMCP example
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}Claims: 1
References: 18
Proof: Verification pending
Freshness state: computing
Source paper: ExAI5G: A Logic-Based Explainable AI Framework for Intrusion Detection in 5G Networks
PDF: https://arxiv.org/pdf/2604.18052v1
Source count: 3
Coverage: 67%
Last proof check: 2026-04-21T02:39:28.090Z
Signal Canvas receipt window
/buildability/exai5g-a-logic-based-explainable-ai-framework-for-intrusion-detection-in-5g-networks
Subject: ExAI5G: A Logic-Based Explainable AI Framework for Intrusion Detection in 5G Networks
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Preparing verified analysis
Dimensions overall score 8.0
No public code linked for this paper yet.
{"file name": "input.pdf", "number of pages": 27, "author": "Saeid Sheikhi; Panos Kostakos; Lauri Loven", "title": "ExAI5G: A Logic-Based Explainable AI Framework for Intrusion Detection in 5G Networks"
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/exai5g-a-logic-based-explainable-ai-framework-for-intrusion-detection-in-5g-networks
Paper ref
exai5g-a-logic-based-explainable-ai-framework-for-intrusion-detection-in-5g-networks
arXiv id
2604.18052
Generated at
2026-04-21T02:39:28.090Z
Evidence freshness
stale
Last verification
2026-04-21T02:39:28.090Z
Sources
3
References
18
Coverage
67%
Lineage hash
18873aa0ddbe92d5b80d7eac09785cbe015332c98008cdf1598630e56f727593
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.
18 refs / 3 sources / Verification pending
repo_url
proof_status