VADMamba++: Efficient Video Anomaly Detection via Hybrid Modeling in Grayscale Space

VADMamba++: Efficient Video Anomaly Detection via Hybrid Modeling in Grayscale Space | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/vadmamba-efficient-video-anomaly-detection-via-hybrid-modeling-in-grayscale-space

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-04-03
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 68
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 vadmamba-efficient-video-anomaly-detection-via-hybrid-modeling-in-grayscale-space | Route /signal-canvas/vadmamba-efficient-video-anomaly-detection-via-hybrid-modeling-in-grayscale-space

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/vadmamba-efficient-video-anomaly-detection-via-hybrid-modeling-in-grayscale-space

MCP example

{
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  "arguments": {
    "mode": "paper",
    "paper_ref": "vadmamba-efficient-video-anomaly-detection-via-hybrid-modeling-in-grayscale-space",
    "query_text": "Summarize VADMamba++: Efficient Video Anomaly Detection via Hybrid Modeling in Grayscale Space"
  }
}

source_context

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  "mode": "paper",
  "query": "VADMamba++: Efficient Video Anomaly Detection via Hybrid Modeling in Grayscale Space",
  "normalized_query": "2604.00360",
  "route": "/signal-canvas/vadmamba-efficient-video-anomaly-detection-via-hybrid-modeling-in-grayscale-space",
  "paper_ref": "vadmamba-efficient-video-anomaly-detection-via-hybrid-modeling-in-grayscale-space",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: 68

Proof: Verification pending

Freshness state: computing

Source paper: VADMamba++: Efficient Video Anomaly Detection via Hybrid Modeling in Grayscale Space

PDF: https://arxiv.org/pdf/2604.00360v1

Source count: 3

Coverage: 50%

Last proof check: 2026-04-03T20:30:24.533Z

Signal Canvas receipt window

Watch and verify: VADMamba++: Efficient Video Anomaly Detection via Hybrid Modeling in Grayscale Space

/buildability/vadmamba-efficient-video-anomaly-detection-via-hybrid-modeling-in-grayscale-space

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Subject: VADMamba++: Efficient Video Anomaly Detection via Hybrid Modeling in Grayscale Space

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

VADMamba++: Efficient Video Anomaly Detection via Hybrid Modeling in Grayscale Space

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