Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 134 tok/s
Gemini 2.5 Pro 41 tok/s Pro
GPT-5 Medium 34 tok/s Pro
GPT-5 High 36 tok/s Pro
GPT-4o 102 tok/s Pro
Kimi K2 195 tok/s Pro
GPT OSS 120B 433 tok/s Pro
Claude Sonnet 4.5 37 tok/s Pro
2000 character limit reached

Path Dependence in AMM-Based Markets: Mathematical Proof and Implications for Truth Discovery (2503.00201v1)

Published 28 Feb 2025 in cs.CE and econ.TH

Abstract: This paper demonstrates that Automated Market Maker (AMM) based markets, such as those using constant product formulas (e.g., Uniswap), are inherently path-dependent. We prove mathematically that the sequence of operations in AMMs determines the final state, challenging the notion that market prices solely reflect information. This property has profound implications for decentralized prediction markets that rely on AMMs for price discovery, as it demonstrates they cannot function as pure "truth machines." Using both mathematical proofs and empirical evidence from ETH/USDC pools, we show that AMM-based markets incorporate historical path information beyond the current market beliefs. Our findings contribute to the understanding of market efficiency, mechanism design, and the interpretation of prices in decentralized finance systems.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (1)

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets

This paper has been mentioned in 1 tweet and received 0 likes.

Upgrade to Pro to view all of the tweets about this paper: