An LLM-Driven Closed-Loop Autonomous Learning Framework for Robots Facing Uncovered Tasks in Open Environments

An LLM-Driven Closed-Loop Autonomous Learning Framework for Robots Facing Uncovered Tasks in Open Environments | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/an-llm-driven-closed-loop-autonomous-learning-framework-for-robots-facing-uncovered-tasks-in-open-environments

stale

Proof freshness: stale
Proof status: unverified
Display score: 3/10
Last proof check: 2026-04-27
Score updated: 2026-04-27
Score fresh until: 2026-05-27
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 an-llm-driven-closed-loop-autonomous-learning-framework-for-robots-facing-uncovered-tasks-in-open-environments | Route /signal-canvas/an-llm-driven-closed-loop-autonomous-learning-framework-for-robots-facing-uncovered-tasks-in-open-environments

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/an-llm-driven-closed-loop-autonomous-learning-framework-for-robots-facing-uncovered-tasks-in-open-environments

MCP example

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source_context

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Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: An LLM-Driven Closed-Loop Autonomous Learning Framework for Robots Facing Uncovered Tasks in Open Environments

PDF: https://arxiv.org/pdf/2604.22199v1

Source count: 3

Coverage: 50%

Last proof check: 2026-04-27T20:17:55.313Z

Signal Canvas receipt window

Not build-ready: An LLM-Driven Closed-Loop Autonomous Learning Framework for Robots Facing Uncovered Tasks in Open Environments

/buildability/an-llm-driven-closed-loop-autonomous-learning-framework-for-robots-facing-uncovered-tasks-in-open-environments

Ignoreblocked

Subject: An LLM-Driven Closed-Loop Autonomous Learning Framework for Robots Facing Uncovered Tasks in Open Environments

Verdict

Ignore

Verdict is Ignore because current viability and proof state do not clear the buildability gate.

An LLM-Driven Closed-Loop Autonomous Learning Framework for Robots Facing Uncovered Tasks in Open Environments

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