JumpLoRA: Sparse Adapters for Continual Learning in Large Language Models

JumpLoRA: Sparse Adapters for Continual Learning in Large Language Models | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/jumplora-sparse-adapters-for-continual-learning-in-large-language-models

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-04-20
Score updated: 2026-04-20
Score fresh until: 2026-05-20
References: 0
Source count: 4
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 jumplora-sparse-adapters-for-continual-learning-in-large-language-models | Route /signal-canvas/jumplora-sparse-adapters-for-continual-learning-in-large-language-models

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/jumplora-sparse-adapters-for-continual-learning-in-large-language-models

MCP example

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    "query_text": "Summarize JumpLoRA: Sparse Adapters for Continual Learning in Large Language Models"
  }
}

source_context

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  "benchmark_ref": null,
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}

Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: JumpLoRA: Sparse Adapters for Continual Learning in Large Language Models

PDF: https://arxiv.org/pdf/2604.16171v1

Repository: https://github.com/goodfeli/dlbook_notation

Source count: 4

Coverage: 50%

Last proof check: 2026-04-20T20:23:26.726Z

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Ready for execution: JumpLoRA: Sparse Adapters for Continual Learning in Large Language Models

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Subject: JumpLoRA: Sparse Adapters for Continual Learning in Large Language Models

Verdict

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Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.

JumpLoRA: Sparse Adapters for Continual Learning in Large Language Models

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