SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes

SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/spatialact-probing-spatial-reasoning-to-action-capabilities-of-vlm-agents-in-3d-scenes

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-06-01
Score updated: 2026-06-01
Score fresh until: 2026-07-01
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 spatialact-probing-spatial-reasoning-to-action-capabilities-of-vlm-agents-in-3d-scenes | Route /signal-canvas/spatialact-probing-spatial-reasoning-to-action-capabilities-of-vlm-agents-in-3d-scenes

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/spatialact-probing-spatial-reasoning-to-action-capabilities-of-vlm-agents-in-3d-scenes

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "spatialact-probing-spatial-reasoning-to-action-capabilities-of-vlm-agents-in-3d-scenes",
    "query_text": "Summarize SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes",
  "normalized_query": "2605.31148",
  "route": "/signal-canvas/spatialact-probing-spatial-reasoning-to-action-capabilities-of-vlm-agents-in-3d-scenes",
  "paper_ref": "spatialact-probing-spatial-reasoning-to-action-capabilities-of-vlm-agents-in-3d-scenes",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 1

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes

PDF: https://arxiv.org/pdf/2605.31148v1

Source count: 3

Coverage: 50%

Last proof check: 2026-06-01T20:22:43.016Z

Signal Canvas receipt window

Watch and verify: SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes

/buildability/spatialact-probing-spatial-reasoning-to-action-capabilities-of-vlm-agents-in-3d-scenes

Watchwatch

Subject: SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes

Verdict

Watch

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

SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes

Use Signal Canvas as the narrative proof surface

Use this Signal Canvas via API or MCP

Signal Canvas proof surface