research note
This paper addresses the challenge of retrieving relevant information from long, multi-modal web interaction histories in agentic web navigation tasks
research note
This paper addresses a fundamental incentive problem in Bitcoin's proof-of-work mining: the standard Bitcoin mining protocol is not a Nash equilibrium because miners can increase their payoff by de…
research note
The authors provide an honest production-scale evaluation, including failure-mode analysis, a successful recovery protocol that restored 25 lost papers, and lessons on scaling AI peer review networks
research note
This paper addresses the challenge of transforming static digital assets, particularly code repositories, into autonomous, interoperable agents within the envisioned Agentic Web ecosystem
research note
This paper addresses the challenge that state-of-the-art multimodal large language models (LLMs) have rendered traditional CAPTCHAs ineffective for distinguishing humans from automated agents
research note
The paper addresses the emerging threat of social bots driven by large language models (LLMs), which generate highly human-like content that evades traditional bot detection methods
research note
This paper addresses a core inefficiency in autonomous web agents that currently rely heavily on browser automation to interact with websites designed for human users
research note
MGDIL tackles cross-domain social bot detection under two practical problems that most prior systems do not handle well: missing or inconsistent user fields, and severe train-test distribution shif…
research note
SFDemorpher tackles a practical gap in face demorphing research: most prior methods are trained and evaluated as if every document image is a morph, which is not how border control or document enro…
research note
This paper addresses a practical gap in bot defense — many websites need something cheaper and less intrusive than CAPTCHAs, but more effective than simple user-agent blacklists
research note
This paper addresses the looming challenge of scaling AI agents from isolated tools or closed orchestrators into socially integrated, persistent participants in an evolving digital ecosystem dubbed…
research note
This paper tackles a critical practical barrier for digital accessibility compliance in mathematics education following 2024 Title II ADA updates in the US
