LoReC: Rethinking Large Language Models for Graph Data Analysis

LoReC: Rethinking Large Language Models for Graph Data Analysis | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/lorec-rethinking-large-language-models-for-graph-data-analysis

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-04-21
Score updated: 2026-04-21
Score fresh until: 2026-05-21
References: 0
Source count: 4
Coverage: 83%

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 lorec-rethinking-large-language-models-for-graph-data-analysis | Route /signal-canvas/lorec-rethinking-large-language-models-for-graph-data-analysis

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/lorec-rethinking-large-language-models-for-graph-data-analysis

MCP example

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  "arguments": {
    "mode": "paper",
    "paper_ref": "lorec-rethinking-large-language-models-for-graph-data-analysis",
    "query_text": "Summarize LoReC: Rethinking Large Language Models for Graph Data Analysis"
  }
}

source_context

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  "paper_ref": "lorec-rethinking-large-language-models-for-graph-data-analysis",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 1

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: LoReC: Rethinking Large Language Models for Graph Data Analysis

PDF: https://arxiv.org/pdf/2604.17897v1

Repository: https://github.com/Git-King-Zhan/LoReC

Source count: 4

Coverage: 83%

Last proof check: 2026-04-21T20:33:49.658Z

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Ready for execution: LoReC: Rethinking Large Language Models for Graph Data Analysis

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Subject: LoReC: Rethinking Large Language Models for Graph Data Analysis

Verdict

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

LoReC: Rethinking Large Language Models for Graph Data Analysis

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