Talking to a Know-It-All GPT or a Second-Guesser Claude? How Repair reveals unreliable Multi-Turn Behavior in LLMs explores This study reveals significant differences in how LLMs handle conversational repair, highlighting their distinct and sometimes unreliable multi-turn behavior.. Commercial viability score: 4/10 in LLM Behavior Analysis.
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This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Page Freshness
Canonical route: /paper/talking-to-a-know-it-all-gpt-or-a-second-guesser-claude-how-repair-reveals-unreliable-multi-turn-behavior-in-llms
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID talking-to-a-know-it-all-gpt-or-a-second-guesser-claude-how-repair-reveals-unreliable-multi-turn-behavior-in-llms | Route /paper/talking-to-a-know-it-all-gpt-or-a-second-guesser-claude-how-repair-reveals-unreliable-multi-turn-behavior-in-llms
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/talking-to-a-know-it-all-gpt-or-a-second-guesser-claude-how-repair-reveals-unreliable-multi-turn-behavior-in-llmsMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.19245"
}
}source_context
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"mode": "paper",
"query": "Talking to a Know-It-All GPT or a Second-Guesser Claude? How Repair reveals unreliable Multi-Turn Behavior in LLMs",
"normalized_query": "2604.19245",
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"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
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Dimensions overall score 4.0
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