research note
Coarse Balanced Separators in Fat-Minor-Free Graphs
This paper addresses the metric structure of graphs excluding a fixed graph H as a fat minor, a coarse analogue of the classic minor exclusion in graph theory
Research
Page 72 of 88
Skip to content
research note
How Developers Adopt, Use, and Evolve CI/CD Caching: An Empirical Study on GitHub Actions
This paper asks a practical, under-studied question: once teams turn on CI/CD caching in GitHub Actions, how do they actually keep it working over time? The authors treat caching as a maintenance p…
research note
FedRio: Personalized Federated Social Bot Detection via Cooperative Reinforced Contrastive Adversarial Distillation
This paper addresses the challenge of social bot detection across multiple heterogeneous social media platforms, where data distributions and model architectures vary and privacy constraints preven…
research note
On the Capacity of Distinguishable Synthetic Identity Generation under Face Verification
This paper asks a verifier-centered question that prior synthetic-face work usually avoids: given a fixed face-recognition threshold, how many latent identities can a generator produce so that same…
research note
Task-Adaptive Retrieval over Agentic Multi-Modal Web Histories via Learned Graph Memory
This paper addresses the challenge of retrieving relevant information from long, multi-modal web interaction histories in agentic web navigation tasks
research note
Inertial Mining: Equilibrium Implementation of the Bitcoin Protocol
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
OpenCLAW-P2P v6.0: Resilient Multi-Layer Persistence, Live Reference Verification, and Production-Scale Evaluation of Decentralized AI Peer Review
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
Agentization of Digital Assets for the Agentic Web — Concepts, Techniques, and Benchmark
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
Perceptual Gaps — ASCII Art and Overlapping Audio as CAPTCHA
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
TRACE-Bot: Detecting Emerging LLM-Driven Social Bots via Implicit Semantic Representations and AIGC-Enhanced Behavioral Patterns
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
Internal APIs Are All You Need — Shadow APIs, Shared Discovery, and the Case Against Browser-First Agent Architectures
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: Multi-Granularity Summarization and Domain-Invariant Learning for Cross-Domain Social Bot Detection
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…