A Semantically Disentangled Unified Model for Multi-category 3D Anomaly Detection

A Semantically Disentangled Unified Model for Multi-category 3D Anomaly Detection | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/a-semantically-disentangled-unified-model-for-multi-category-3d-anomaly-detection

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-04-02
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 0
Source count: 0
Coverage: 17%

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-semantically-disentangled-unified-model-for-multi-category-3d-anomaly-detection | Route /signal-canvas/a-semantically-disentangled-unified-model-for-multi-category-3d-anomaly-detection

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/a-semantically-disentangled-unified-model-for-multi-category-3d-anomaly-detection

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "a-semantically-disentangled-unified-model-for-multi-category-3d-anomaly-detection",
    "query_text": "Summarize A Semantically Disentangled Unified Model for Multi-category 3D Anomaly Detection"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "A Semantically Disentangled Unified Model for Multi-category 3D Anomaly Detection",
  "normalized_query": "2603.25159",
  "route": "/signal-canvas/a-semantically-disentangled-unified-model-for-multi-category-3d-anomaly-detection",
  "paper_ref": "a-semantically-disentangled-unified-model-for-multi-category-3d-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: A Semantically Disentangled Unified Model for Multi-category 3D Anomaly Detection

PDF: https://arxiv.org/pdf/2603.25159v1

Source count: Pending verification

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

Signal Canvas receipt window

Watch and verify: A Semantically Disentangled Unified Model for Multi-category 3D Anomaly Detection

/buildability/a-semantically-disentangled-unified-model-for-multi-category-3d-anomaly-detection

Watchwatch

Subject: A Semantically Disentangled Unified Model for Multi-category 3D Anomaly Detection

Verdict

Watch

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

A Semantically Disentangled Unified Model for Multi-category 3D Anomaly Detection

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Signal Canvas proof surface