Evidence Receipt. Related Resources.
MANSION: Multi-floor lANguage-to-3D Scene generatIOn for loNg-horizon tasks
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Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/mansion-multi-floor-language-to-3d-scene-generation-for-long-horizon-tasks
- Proof freshness
- stale
- Proof status
- unverified
- Display score
- 8/10
- 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
MANSION: Multi-floor lANguage-to-3D Scene generatIOn for loNg-horizon tasks
Canonical ID mansion-multi-floor-language-to-3d-scene-generation-for-long-horizon-tasks | Route /signal-canvas/mansion-multi-floor-language-to-3d-scene-generation-for-long-horizon-tasks
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/mansion-multi-floor-language-to-3d-scene-generation-for-long-horizon-tasksMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "mansion-multi-floor-language-to-3d-scene-generation-for-long-horizon-tasks",
"query_text": "Summarize MANSION: Multi-floor lANguage-to-3D Scene generatIOn for loNg-horizon tasks"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "MANSION: Multi-floor lANguage-to-3D Scene generatIOn for loNg-horizon tasks",
"normalized_query": "2603.11554",
"route": "/signal-canvas/mansion-multi-floor-language-to-3d-scene-generation-for-long-horizon-tasks",
"paper_ref": "mansion-multi-floor-language-to-3d-scene-generation-for-long-horizon-tasks",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Preparing verified analysis
Dimensions overall score 8.0
GitHub Code Pulse
No public code linked for this paper yet.
Claim map
- Evidencepartial
We introduce MANSION, the first language-driven framework for generating building-scale, multi-floor 3D environments.
ImplicationpartialExplicitly stated in the abstract with definitive language
Verificationpartialpartial
- Evidencepartial
existing embodied benchmarks are largely confined to single-floor in-house environments, failing to reflect the complexity of real-world tasks.
ImplicationpartialDirectly stated in the abstract as a limitation of current approaches
Verificationpartialpartial
- Evidencepartial
MANSION generates realistic, navigable whole-building structures with diverse, human-friendly scenes
ImplicationpartialDirectly stated in abstract with descriptive claims about capabilities
Verificationpartialpartial
- Evidencepartial
enabling the development and evaluation of cross-floor long-horizon tasks.
ImplicationpartialDirectly stated in abstract as a key capability of the framework
Verificationpartialpartial
- Evidencepartial
we release MansionWorld, a dataset of over 1,000 diverse buildings ranging from hospitals to offices
ImplicationpartialExplicit numeric claim with specific examples provided
Verificationpartialpartial
- Evidencepartial
Benchmarking reveals that state-of-the-art agents degrade sharply in our settings
ImplicationpartialDirectly stated in abstract but without specific performance metrics
Verificationpartialpartial
- Evidencepartial
alongside a Task-Semantic Scene Editing Agent that customizes these environments using open-vocabulary commands to meet specific user needs.
ImplicationpartialDirectly stated in abstract with specific technical description
Verificationpartialpartial
- Evidencepartial
Being aware of vertical structural constraints, MANSION generates realistic, navigable whole-building structures
ImplicationpartialImplied from description but not explicitly stated as a technical feature
Verificationpartialpartial