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Generative AI is, in this classification, a technology that deflates the cost of the first class and leaves the second class untouched: no language model can reduce the expected cost of a promise to pay if the client’s problem remains unsolved
from the top result below

The Last Costly Signal: How Generative AI Collapses Competence Signaling

https://arxiv.org/html/2607.26327v3
4 AI disclosure, trust, and willingness to pay 2

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https://arxiv.org/pdf/2608.03063
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https://arxiv.org/pdf/2608.01785
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https://arxiv.org/pdf/2608.03095
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https://arxiv.org/pdf/2608.03340
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https://arxiv.org/pdf/2608.03233
T+jq8 M\c~wD`%::P sC` zzTrH`${0F{kʆƄ endstream endobj 411 0 obj > stream On the Diversity of Analogy Making in Large Language ModelsYuanhao ShenDaniel Xavier de SousaCaio César Sifuentes BarcelosHongyu GuoXiaodan Zhuhttp://arxiv

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https://arxiv.org/pdf/2607.27070v1
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https://arxiv.org/pdf/2607.26188v1
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https://arxiv.org/pdf/2608.02758
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https://arxiv.org/pdf/2508.02691
Statistical modeling of SOFR term structureTeemu PennanenWaleed Taoumhttp://arxiv.org/licenses/nonexclusive-distrib/1.0/q-fin.ST endstream endobj 4 0 obj > endobj 5 0 obj > endobj 6 0 obj > endobj 7 0 obj > endobj 8 0 obj > endobj 9 0 obj >

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https://arxiv.org/pdf/2608.03157
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https://arxiv.org/pdf/2508.07408
-Aware Sentiment Factors from LLM-Augmented Financial Tweets: A Transparent Framework for Interpretable Quant TradingYueyi WangQiyao Weihttp://creativecommons.org/licenses/by/4.0/q-fin.STcs.CLcs.LG endstream endobj 4 0 obj > endobj 5 0 obj

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https://arxiv.org/pdf/2607.26405v1
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https://arxiv.org/pdf/2005.13905
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https://arxiv.org/pdf/2608.03709
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https://arxiv.org/pdf/2006.02759
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https://arxiv.org/pdf/2608.03118
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https://arxiv.org/pdf/2006.03994
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https://arxiv.org/pdf/2608.02935
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https://arxiv.org/pdf/2508.04671
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https://arxiv.org/pdf/2608.02122
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https://arxiv.org/pdf/2608.00785
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https://arxiv.org/pdf/2407.00125
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https://arxiv.org/src/2608.03883
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https://arxiv.org/pdf/2205.01882v5
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https://arxiv.org/pdf/2608.02854v1
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Report GitHub Issue

https://arxiv.org/html/2607.26245v1
116 normalized payoff units per attempted trade under stated fee and slippage assumptions

Raising Rivals’ Costs on Hybrid Platforms: The Complementarity of Fees

https://arxiv.org/html/2608.02800v1
The European Union’s Digital Markets Act self-preferencing prohibition can therefore be effective on its own, and adding a fee cap makes the combined regime weakly better than either instrument alone

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https://arxiv.org/pdf/2006.00342
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https://arxiv.org/src/2006.02085
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