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/unified-taxonomy-for-multivariate-time-series-anomaly-detection-using-deep-learning
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 unified-taxonomy-for-multivariate-time-series-anomaly-detection-using-deep-learning | Route /signal-canvas/unified-taxonomy-for-multivariate-time-series-anomaly-detection-using-deep-learning
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/unified-taxonomy-for-multivariate-time-series-anomaly-detection-using-deep-learningMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "unified-taxonomy-for-multivariate-time-series-anomaly-detection-using-deep-learning",
"query_text": "Summarize Unified Taxonomy for Multivariate Time Series Anomaly Detection using Deep Learning"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Unified Taxonomy for Multivariate Time Series Anomaly Detection using Deep Learning",
"normalized_query": "2603.18941",
"route": "/signal-canvas/unified-taxonomy-for-multivariate-time-series-anomaly-detection-using-deep-learning",
"paper_ref": "unified-taxonomy-for-multivariate-time-series-anomaly-detection-using-deep-learning",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Unified Taxonomy for Multivariate Time Series Anomaly Detection using Deep Learning
PDF: https://arxiv.org/pdf/2603.18941v1
Source count: Pending verification
Coverage: 17%
Last proof check: 2026-04-02T02:30:40.136Z
Signal Canvas receipt window
/buildability/unified-taxonomy-for-multivariate-time-series-anomaly-detection-using-deep-learning
Subject: Unified Taxonomy for Multivariate Time Series Anomaly Detection using Deep Learning
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Preparing verified analysis
Dimensions overall score 2.0
No public code linked for this paper yet.
CLAIM MAP
No public claim map is available for this paper yet.
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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/unified-taxonomy-for-multivariate-time-series-anomaly-detection-using-deep-learning
Paper ref
unified-taxonomy-for-multivariate-time-series-anomaly-detection-using-deep-learning
arXiv id
2603.18941
Generated at
2026-04-02T02:30:40.136Z
Evidence freshness
stale
Last verification
2026-04-02T02:30:40.136Z
Sources
0
References
0
Coverage
17%
Lineage hash
736877eb91c76e61c54510964d487b39b8dc192fd322aa08d3dff91121bea811
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.
Verification pending / evidence receipt incomplete
repo_url
references