MPerS: Dynamic MLLM MixExperts Perception-Guided Remote Sensing Scene Segmentation

MPerS: Dynamic MLLM MixExperts Perception-Guided Remote Sensing Scene Segmentation | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/mpers-dynamic-mllm-mixexperts-perception-guided-remote-sensing-scene-segmentation

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Proof freshness: fresh
Proof status: unverified
Display score: 7/10
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 mpers-dynamic-mllm-mixexperts-perception-guided-remote-sensing-scene-segmentation | Route /signal-canvas/mpers-dynamic-mllm-mixexperts-perception-guided-remote-sensing-scene-segmentation

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/mpers-dynamic-mllm-mixexperts-perception-guided-remote-sensing-scene-segmentation

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "mpers-dynamic-mllm-mixexperts-perception-guided-remote-sensing-scene-segmentation",
    "query_text": "Summarize MPerS: Dynamic MLLM MixExperts Perception-Guided Remote Sensing Scene Segmentation"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "MPerS: Dynamic MLLM MixExperts Perception-Guided Remote Sensing Scene Segmentation",
  "normalized_query": "2605.10769",
  "route": "/signal-canvas/mpers-dynamic-mllm-mixexperts-perception-guided-remote-sensing-scene-segmentation",
  "paper_ref": "mpers-dynamic-mllm-mixexperts-perception-guided-remote-sensing-scene-segmentation",
  "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: MPerS: Dynamic MLLM MixExperts Perception-Guided Remote Sensing Scene Segmentation

PDF: https://arxiv.org/pdf/2605.10769v1

Repository: https://github.com/cvpr-org/author-kit

Source count: Pending verification

Coverage: 0%

Last proof check: 2026-05-12T20:14:59.855Z

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Ready for execution: MPerS: Dynamic MLLM MixExperts Perception-Guided Remote Sensing Scene Segmentation

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Subject: MPerS: Dynamic MLLM MixExperts Perception-Guided Remote Sensing Scene Segmentation

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MPerS: Dynamic MLLM MixExperts Perception-Guided Remote Sensing Scene Segmentation

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