Distilling 3D Spatial Reasoning into a Lightweight Vision-Language Model with CoT

Distilling 3D Spatial Reasoning into a Lightweight Vision-Language Model with CoT | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/distilling-3d-spatial-reasoning-into-a-lightweight-vision-language-model-with-cot

stale

Proof freshness: fresh
Proof status: unverified
Display score: 5/10
Last proof check: 2026-05-12
Score updated: 2026-05-12
Score fresh until: 2026-06-11
References: 0
Source count: 0
Coverage: 0%

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 distilling-3d-spatial-reasoning-into-a-lightweight-vision-language-model-with-cot | Route /signal-canvas/distilling-3d-spatial-reasoning-into-a-lightweight-vision-language-model-with-cot

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/distilling-3d-spatial-reasoning-into-a-lightweight-vision-language-model-with-cot

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "distilling-3d-spatial-reasoning-into-a-lightweight-vision-language-model-with-cot",
    "query_text": "Summarize Distilling 3D Spatial Reasoning into a Lightweight Vision-Language Model with CoT"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Distilling 3D Spatial Reasoning into a Lightweight Vision-Language Model with CoT",
  "normalized_query": "2605.09719",
  "route": "/signal-canvas/distilling-3d-spatial-reasoning-into-a-lightweight-vision-language-model-with-cot",
  "paper_ref": "distilling-3d-spatial-reasoning-into-a-lightweight-vision-language-model-with-cot",
  "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: Distilling 3D Spatial Reasoning into a Lightweight Vision-Language Model with CoT

PDF: https://arxiv.org/pdf/2605.09719v1

Repository: https://github.com/alaaasfour/distilled-LLaVA3D-with-CoT

Source count: Pending verification

Coverage: 0%

Last proof check: 2026-05-12T20:16:06.822Z

Signal Canvas receipt window

Watch and verify: Distilling 3D Spatial Reasoning into a Lightweight Vision-Language Model with CoT

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Subject: Distilling 3D Spatial Reasoning into a Lightweight Vision-Language Model with CoT

Verdict

Distilling 3D Spatial Reasoning into a Lightweight Vision-Language Model with CoT

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