VACE: Learning Geometrically Structured Representations for Time Series Anomaly Detection

VACE: Learning Geometrically Structured Representations for Time Series Anomaly Detection | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/vace-learning-geometrically-structured-representations-for-time-series-anomaly-detection

stale

Proof freshness: stale
Proof status: unverified
Display score: 3/10
Last proof check: 2026-05-25
Score updated: 2026-05-25
Score fresh until: 2026-06-24
References: 0
Source count: 3
Coverage: 50%

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 vace-learning-geometrically-structured-representations-for-time-series-anomaly-detection | Route /signal-canvas/vace-learning-geometrically-structured-representations-for-time-series-anomaly-detection

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/vace-learning-geometrically-structured-representations-for-time-series-anomaly-detection

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "vace-learning-geometrically-structured-representations-for-time-series-anomaly-detection",
    "query_text": "Summarize VACE: Learning Geometrically Structured Representations for Time Series Anomaly Detection"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "VACE: Learning Geometrically Structured Representations for Time Series Anomaly Detection",
  "normalized_query": "2605.23504",
  "route": "/signal-canvas/vace-learning-geometrically-structured-representations-for-time-series-anomaly-detection",
  "paper_ref": "vace-learning-geometrically-structured-representations-for-time-series-anomaly-detection",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: VACE: Learning Geometrically Structured Representations for Time Series Anomaly Detection

PDF: https://arxiv.org/pdf/2605.23504v1

Source count: 3

Coverage: 50%

Last proof check: 2026-05-25T20:40:18.795Z

Signal Canvas receipt window

Not build-ready: VACE: Learning Geometrically Structured Representations for Time Series Anomaly Detection

/buildability/vace-learning-geometrically-structured-representations-for-time-series-anomaly-detection

Ignoreblocked

Subject: VACE: Learning Geometrically Structured Representations for Time Series Anomaly Detection

Verdict

Ignore

Verdict is Ignore because current viability and proof state do not clear the buildability gate.

VACE: Learning Geometrically Structured Representations for Time Series Anomaly Detection

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