Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
Use This Via API or MCP
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Use This Via API or MCP
Route this paper proof surface into REST, MCP, or developer workflows while preserving the same evidence receipt and related-resource context.
Page Freshness
Canonical route: /signal-canvas/environmental-sound-deepfake-detection-using-deep-learning-framework
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 environmental-sound-deepfake-detection-using-deep-learning-framework | Route /signal-canvas/environmental-sound-deepfake-detection-using-deep-learning-framework
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/environmental-sound-deepfake-detection-using-deep-learning-frameworkMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "environmental-sound-deepfake-detection-using-deep-learning-framework",
"query_text": "Summarize Environmental Sound Deepfake Detection Using Deep-Learning Framework"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Environmental Sound Deepfake Detection Using Deep-Learning Framework",
"normalized_query": "2604.19652",
"route": "/signal-canvas/environmental-sound-deepfake-detection-using-deep-learning-framework",
"paper_ref": "environmental-sound-deepfake-detection-using-deep-learning-framework",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Environmental Sound Deepfake Detection Using Deep-Learning Framework
PDF: https://arxiv.org/pdf/2604.19652v1
Source count: 3
Coverage: 50%
Last proof check: 2026-04-22T03:20:13.679Z
Signal Canvas 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.
Preparing verified analysis
Dimensions overall score 7.0
No public code linked for this paper yet.
{"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"
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/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.
Pending verification refs / 3 sources / Verification pending
repo_url
references