SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification

SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/sere-structural-example-retrieval-for-enhancing-llms-in-event-causality-identification

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-05-06
Score updated: 2026-05-06
Score fresh until: 2026-06-05
References: 0
Source count: 4
Coverage: 67%

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 sere-structural-example-retrieval-for-enhancing-llms-in-event-causality-identification | Route /signal-canvas/sere-structural-example-retrieval-for-enhancing-llms-in-event-causality-identification

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/sere-structural-example-retrieval-for-enhancing-llms-in-event-causality-identification

MCP example

{
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  "arguments": {
    "mode": "paper",
    "paper_ref": "sere-structural-example-retrieval-for-enhancing-llms-in-event-causality-identification",
    "query_text": "Summarize SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification"
  }
}

source_context

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  "surface": "signal_canvas",
  "mode": "paper",
  "query": "SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification",
  "normalized_query": "2605.03701",
  "route": "/signal-canvas/sere-structural-example-retrieval-for-enhancing-llms-in-event-causality-identification",
  "paper_ref": "sere-structural-example-retrieval-for-enhancing-llms-in-event-causality-identification",
  "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: SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification

PDF: https://arxiv.org/pdf/2605.03701v1

Repository: https://github.com/DMIRLAB-Group/SERE

Source count: 4

Coverage: 67%

Last proof check: 2026-05-06T20:24:04.709Z

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Subject: SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification

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SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification

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