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  3. Aligning Large Language Model Behavior with Human Citation P
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Aligning Large Language Model Behavior with Human Citation Preferences

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Viability
0.0/10

Compared to this week’s papers

Stale evidence

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: stale

Source paper: Aligning Large Language Model Behavior with Human Citation Preferences

PDF: https://arxiv.org/pdf/2602.05205v1

Source count: 0

Coverage: 33%

Last proof check: 2026-03-19T18:48:05.835Z

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

Aligning Large Language Model Behavior with Human Citation Preferences

Overall score: 4/10
Lineage: d95bfdcb3820…
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Canonical Paper Receipt

Last verification: 2026-03-19T18:48:05.835Z

Freshness: stale

Proof: unverified

Repo: missing

References: 0

Sources: 0

Coverage: 33%

Missingness
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Unknowns
  • - distribution readiness has not been computed yet

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  • Paper mode pins trust state to the canonical paper kernel.
  • Workspace mode blends saved sources, prior evidence queries, and linked papers.

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Dimensions overall score 4.0

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To Words and Beyond: Probing Large Language Models for Sentence-Level Psycholinguistic Norms of Memorability and Reading Times
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Score 4.0stable
Higher Viability
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Score 5.0up
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Fine-Tuning A Large Language Model for Systematic Review Screening
Score 7.0up
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More Human, More Efficient: Aligning Annotations with Quantized SLMs
Score 7.0up
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Mechanistic Origin of Moral Indifference in Language Models
Score 5.0up
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How LLMs Distort Our Written Language
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Aligning Large Language Models with Searcher Preferences
Score 6.0up

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