Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
Use This Via API or MCP
Signal Canvas is the citation-first public layer for turning one paper into a structured commercialization narrative. Use it to hand off into REST, MCP, Build Loop, and launch-pack execution without losing source lineage.
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/a-novel-lstm-music-generator-based-on-the-fractional-time-frequency-feature-extraction
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 a-novel-lstm-music-generator-based-on-the-fractional-time-frequency-feature-extraction | Route /signal-canvas/a-novel-lstm-music-generator-based-on-the-fractional-time-frequency-feature-extraction
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/a-novel-lstm-music-generator-based-on-the-fractional-time-frequency-feature-extractionMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "a-novel-lstm-music-generator-based-on-the-fractional-time-frequency-feature-extraction",
"query_text": "Summarize A novel LSTM music generator based on the fractional time-frequency feature extraction"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "A novel LSTM music generator based on the fractional time-frequency feature extraction",
"normalized_query": "2604.17823",
"route": "/signal-canvas/a-novel-lstm-music-generator-based-on-the-fractional-time-frequency-feature-extraction",
"paper_ref": "a-novel-lstm-music-generator-based-on-the-fractional-time-frequency-feature-extraction",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: A novel LSTM music generator based on the fractional time-frequency feature extraction
PDF: https://arxiv.org/pdf/2604.17823v1
Source count: 3
Coverage: 50%
Last proof check: 2026-04-21T02:40:55.057Z
Signal Canvas receipt window
/buildability/a-novel-lstm-music-generator-based-on-the-fractional-time-frequency-feature-extraction
Subject: A novel LSTM music generator based on the fractional time-frequency feature extraction
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": 14, "author": "Li Ya; Chen Wei; Li Xiulai; Yu Lei; Deng Xinyi; Chen Chaofan"
Implication not extracted yet.
partial
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
Use an AI coding agent to implement this research.
Lightweight coding agent in your terminal.
Agentic coding tool for terminal workflows.
AI agent mindset installer and workflow scaffolder.
AI-first code editor built on VS Code.
Free, open-source editor by Microsoft.
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
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/a-novel-lstm-music-generator-based-on-the-fractional-time-frequency-feature-extraction
Paper ref
a-novel-lstm-music-generator-based-on-the-fractional-time-frequency-feature-extraction
arXiv id
2604.17823
Generated at
2026-04-21T02:40:55.057Z
Evidence freshness
stale
Last verification
2026-04-21T02:40:55.057Z
Sources
3
References
0
Coverage
50%
Lineage hash
c0f10db07184e3113f5b685ce44fbc7203de145c6ed8470bddbf99d288a1d72a
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