Improving MLLMs in Embodied Exploration and Question Answering with Human-Inspired Memory Modeling

Improving MLLMs in Embodied Exploration and Question Answering with Human-Inspired Memory Modeling | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/improving-mllms-in-embodied-exploration-and-question-answering-with-human-inspired-memory-modeling

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 improving-mllms-in-embodied-exploration-and-question-answering-with-human-inspired-memory-modeling | Route /signal-canvas/improving-mllms-in-embodied-exploration-and-question-answering-with-human-inspired-memory-modeling

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/improving-mllms-in-embodied-exploration-and-question-answering-with-human-inspired-memory-modeling

MCP example

{
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  "arguments": {
    "mode": "paper",
    "paper_ref": "improving-mllms-in-embodied-exploration-and-question-answering-with-human-inspired-memory-modeling",
    "query_text": "Summarize Improving MLLMs in Embodied Exploration and Question Answering with Human-Inspired Memory Modeling"
  }
}

source_context

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  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Improving MLLMs in Embodied Exploration and Question Answering with Human-Inspired Memory Modeling",
  "normalized_query": "2602.15513",
  "route": "/signal-canvas/improving-mllms-in-embodied-exploration-and-question-answering-with-human-inspired-memory-modeling",
  "paper_ref": "improving-mllms-in-embodied-exploration-and-question-answering-with-human-inspired-memory-modeling",
  "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: Improving MLLMs in Embodied Exploration and Question Answering with Human-Inspired Memory Modeling

PDF: https://arxiv.org/pdf/2602.15513v1

Source count: Pending verification

Coverage: 17%

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

Signal Canvas receipt window

Watch and verify: Improving MLLMs in Embodied Exploration and Question Answering with Human-Inspired Memory Modeling

/buildability/improving-mllms-in-embodied-exploration-and-question-answering-with-human-inspired-memory-modeling

Watchwatch

Subject: Improving MLLMs in Embodied Exploration and Question Answering with Human-Inspired Memory Modeling

Verdict

Watch

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

Improving MLLMs in Embodied Exploration and Question Answering with Human-Inspired Memory Modeling

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Signal Canvas proof surface