Scaling In, Not Up? Testing Thick Citation Context Analysis with GPT-5 and Fragile Prompts
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Stale evidence
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Freshness: 2026-04-02T02:30:40.136932+00:00Claims: 0
References: 0
Proof: unverified
Freshness: stale
Source paper: Scaling In, Not Up? Testing Thick Citation Context Analysis with GPT-5 and Fragile Prompts
PDF: https://arxiv.org/pdf/2602.22359v1
Source count: 0
Coverage: 33%
Last proof check: 2026-03-19T18:48:05.835633Z
Signal Canvas
Canonical paper trust state plus paper-specific synthesis and commercialization judgment.
Paper mode stays anchored to the canonical paper kernel before it broadens into citations and next actions.
Paper mode: Scaling In, Not Up? Testing Thick Citation Context Analysis with GPT-5 and Fragile Prompts
Paper mode stays anchored to the canonical paper kernel before it broadens into citations and next actions.
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Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
Scaling In, Not Up? Testing Thick Citation Context Analysis with GPT-5 and Fragile Prompts
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distribution readiness has not been computed yet
repo_url
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Freshness: stale
Proof: unverified
Repo: missing
Coverage: 33%
References: 0
Sources: 0
Lineage: not recorded
Last verification: 3/19/2026, 6:48:05 PM
Canonical Paper Receipt
distribution readiness has not been computed yet
repo_url
Expand full evidence receipt
Freshness: stale
Proof: unverified
Repo: missing
Coverage: 33%
References: 0
Sources: 0
Lineage: not recorded
Last verification: 3/19/2026, 6:48:05 PM
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