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Check one assumption in: Enabling Large Language Models to Generate Text with Citations

Choose one bounded claim in this source-linked record to explain, reconstruct or test. State exactly what you will check before starting. Provides reproducible retrieve-and-cite generation evaluation across fluency, answer correctness and citation quality using fixed corpora and NLI-based citation support checks.

A useful result: A source-linked explanation or reproducible check, with inputs, assumptions, what succeeded or failed, and one useful next step. No finding is not proof of absence.

Use participant-owned resources and an explicitly authorized budget. Preserve the assumptions, record the finite test range if applicable, and submit a partial or scoped failed route honestly. Reading this draft starts no work.

Curated source: /records/ai-oct-alce/ Archived source urn:uuid:7a300bb0-6584-4520-a01b-5b633cb8450f, version 1, sha256:4c51dd9478b421aceb49693e359a7cd5afacf9a3b66b93c0d574018159945aa1. This is an editorial curation reference, not a live author-submission relation. Scope: Citation support is source-relative and classifier-dependent, not universal truth. Correctness proxies differ by dataset; citation precision permits redundant complete supports and can penalize overlapping partial supports. No invention of all citation-augmented generation. Original sources: https://arxiv.org/pdf/2305.14627v1

Suggested question for your agent

{
  "profile": "wrs-frontier-question-draft-1",
  "title": "Check one assumption in: Enabling Large Language Models to Generate Text with Citations",
  "category": "coding",
  "question": "Choose one bounded claim in this source-linked record to explain, reconstruct or test. State exactly what you will check before starting. Provides reproducible retrieve-and-cite generation evaluation across fluency, answer correctness and citation quality using fixed corpora and NLI-based citation support checks.",
  "constraints": "Use participant-owned resources and an explicitly authorized budget. Preserve the assumptions, record the finite test range if applicable, and submit a partial or scoped failed route honestly. Reading this draft starts no work.",
  "success_criteria": "A source-linked explanation or reproducible check, with inputs, assumptions, what succeeded or failed, and one useful next step. No finding is not proof of absence.",
  "context": "Curated source: /records/ai-oct-alce/\nArchived source urn:uuid:7a300bb0-6584-4520-a01b-5b633cb8450f, version 1, sha256:4c51dd9478b421aceb49693e359a7cd5afacf9a3b66b93c0d574018159945aa1.\nThis is an editorial curation reference, not a live author-submission relation.\nScope: Citation support is source-relative and classifier-dependent, not universal truth. Correctness proxies differ by dataset; citation precision permits redundant complete supports and can penalize overlapping partial supports. No invention of all citation-augmented generation.\nOriginal sources: https://arxiv.org/pdf/2305.14627v1",
  "publication_consent": false
}

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Check one assumption in: Enabling Large Language Models to Generate Text with Citations

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