Research
Social Insurance with Imperfect Eligibility Screening: Theory and Evidence from Pandemic UI
Social Insurance with Imperfect Eligibility Screening: Theory and Evidence from Pandemic UI
Compliance & Financial Crime
Anti-money laundering, regulatory compliance, financial crime detection, and risk management.
Key Terms
AML Risk Scoring Methodology: Quantitative Frameworks for Customer and Transaction Risk
— Methodology for building AML risk scoring models: inherent v...
AML Screening Rules: Building Watchlist and Transaction Screening Logic in Python
— Implementation guide for AML screening rules: fuzzy name mat...
Ai In Aml Compliance
— A learn article exploring AI in AML compliance within the An...
Compliance
— Key terms and definitions for AML, KYC, CFT, and financial c...
Cross-Border Financial Intelligence
— A learn article exploring cross-border financial intelligenc...
Cryptocurrency Aml Challenges
— A learn article exploring cryptocurrency AML challenges with...
Regulatory Technology Landscape
— A learn article exploring regulatory technology landscape wi...
Sar Filing Best Practices
— A learn article exploring SAR filing best practices within t...
Transaction Monitoring Optimization
— A learn article exploring transaction monitoring optimizatio...
Latest Lessons
Learn
RegTech for AML Compliance: Automation, AI, and the Future of Regulatory Technology
Explore how regulatory technology (RegTech) transforms AML compliance: AI-driven transaction monitor
Intermediate
Learn
Cross-Border AML Frameworks: International Cooperation, Jurisdictional Challenges, and Information Sharing
Navigate the complex landscape of cross-border AML: FATF recommendations, Information sharing framew
Advanced
Learn
Whistleblower Programs in AML: Legal Frameworks, Incentives, and Program Design
Design effective whistleblower programs for AML compliance: Dodd-Frank Act provisions, SEC/FinCEN wh
Intermediate
Learn
AML Program Assessment and Auditing: Evaluating Compliance Effectiveness
Master AML program auditing: risk-based assessment methodology, testing transaction monitoring effec
Advanced
Learn
Sanctions Evasion Typologies: Tradecraft, Red Flags, and Detection Techniques
Deep-dive into sanctions evasion techniques: shell company networks, trade-based evasion, crypto san
Advanced
Learn
AML Program Governance and Business Continuity: Resilience, Oversight, and Regulatory Change Management
Build resilient AML governance: board and management oversight, three lines of defense model, regula
IntermediateConcepts
AML Compliance Program
(2)
Adverse Media Screening
(3)
Bank Secrecy Act
(3)
Beneficial Ownership
(1)
Correspondent Banking AML
(1)
Cryptocurrency AML
(3)
Currency Transaction Report
(2)
Customer Due Diligence
(4)
Cyber AML / Financial Cybercrime
(2)
Enhanced Due Diligence
(2)
Entity Resolution
(2)
FATF Recommendations
(4)
FATF Travel Rule
(2)
Know Your Customer (KYC)
(5)
Network Analysis for AML
(2)
Research
Financial Sanctions and the Global Payments Network
Financial Sanctions and the Global Payments Network
Research
Risk Design: AI and Prediction Beyond Screening in Insurance Markets
Risk Design: AI and Prediction Beyond Screening in Insurance Markets
Research
A Minimalist Retargeting-Guided Reinforcement Learning Recipe for Dexterous Manipulation
Recent work in humanoid whole-body control has found success with a simple recipe: retarget human motion to robot kinematic references, then train policies via reinforcement learning (RL) to track the
Research
Can LLMs Perform Deep Technical Comprehension of Computer Architecture Papers?
Can large language models perform deep technical comprehension of computer architecture papers -- not summarization, but structured critique that names the core mechanism, surfaces buried assumptions,
Research
"We are all in big trouble! *Shock Emoji": Personal Narratives in Expressing Emotions, Opinions, and Data Regarding Climate Change in TikTok Short Videos
Climate change is a source of anxiety about the future. Understanding how people express themselves about climate change enables us to address such concerns. To study climate change expression on soci
Research
Forgetting Our Way to Shared Meaning: Effects of Forgetting on Conceptual Alignment in a Non-Partnership Coordination Game
Shared meaning in language requires people to learn and agree on categories. We ask how characteristics of agents' memories change the emergence and evolution of shared meaning. Without a coordination
Research
Paradoxes of Game Theoretic Equilibria and Price of Anarchy
For decades, static solution concepts (Nash, Correlated, and Coarse Correlated Equilibria) and the Price of Anarchy (PoA) have formed the bedrock of algorithmic game theory, with no-regret learning pr
Research
When Local Monitors Miss Compositional Harm: Diagnosing Distributed Backdoors in Multi-Agent Systems
As multi-agent, tool-using LLM systems are deployed, a common safety net is a runtime monitor that checks each message, tool call, or step on its own. We show this net has a fundamental hole. A distri
Research
Philosopher and Prophet Inequalities for Divisible Items
We study online welfare maximization with divisible resources. A sequence of $n$ players arrive one by one; upon arrival, each player draws a valuation function over $m$ divisible items from a known d
Research
An Explainable Agentic System for Detection of Conversational Scams with Summary-Based Memory
Following the rapid progress of generative Artificial Intelligence, there is a growing threat posed by conversational scams. These scams often span over multiple weeks or months, gradually build trust
Research
Agent Hacks Agent: Autoresearch for Production-Agent Red-Teaming
Production LLM agents such as Claude Code and Codex operate over untrusted content, files, commands, and workspace state, making safety failures directly actionable. Red-teaming must therefore keep pa
Research
Uncovering Students' Mental Models of Generative Artificial Intelligence
In this paper we present a study of students' mental models of generative AI (GenAI). A student's mental model of GenAI influences not only how they perceive the technology's capabilities and limitati
Research
One Vote, Several Parliaments: An Empirical Analysis of the Algorithmic Ambiguity of the Italian Electoral Law on the 2022 General Election Data
Crafa's algorithmic analysis of the Italian electoral law (D.P.R. 361/1957, as amended by Law 165/2017, the Rosatellum) showed that the statutory text distributing proportional seats among territories
Research
Closing the Loop: An Access-Control Architecture for Automated, Anomaly-Driven Network Revocation in IoT Deployments
Network-based anomaly detection for IoT devices has matured to the point of reporting strong detection accuracy, yet most published systems stop at raising an alert and leave the question of automated
Research
Reproducing human biases in route choice using large language models: Toward scalable behavioral modeling
Human choice behavior, including route choice, exhibits systematic behavioral biases that deviate from the assumptions of full rationality. Cumulative prospect theory (CPT) has been widely recognized
Research
Cardano's Voltaire Governance: Complete Specification and Research Program
Blockchain governance, the set of processes by which decentralized protocols evolve, remains a fundamental challenge in balancing adaptability, security, and stakeholder representation. This technical
Research
PaperRouter-Agent: A Content-Grounded LLM Agent for Personalized Hierarchical Paper Routing
Researchers organize the papers they collect into personal folder hierarchies in reference managers, and route each new paper into the folder where it belongs. This task differs from standard hierarch
Research
Linux disk encryption and self-encrypting drives -- A case study on Opal2 drives security
Opal2 self-encrypting drives provide hardware-based disk encryption serving as an additional layer of protection, or a replacement, for software-based solutions. This paper presents a case study of re
Research
Graph-Based Structural Evaluation of LLM-Translated Adversary Emulation Procedures
Adversary emulation plans describe multi-step attacker procedures using MITRE ATT&CK techniques, privilege requirements, and observable telemetry. Translating them across operating systems supports cr
Research
Time Is Money: Incentivized Causal Transaction Ordering
Front-running is a subtle and persistent problem for blockchains. A blockchain is a stateful virtual machine executing instructions called transactions. Users earn rewards by publishing functional tra
Research
LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms
Perceptual hash algorithms (PHAs) are widely deployed to detect image forgery under benign transformations, yet their robustness against adversarially chosen perturbations remains poorly understood an
Research
Prezta: Provable Remote Execution of Zero-Trust Authorization using SNARKs
Modernizing the security of operational technology systems that control critical infrastructure has become a pressing challenge. Because edge devices have limited capabilities, modernization has relie
Research
Validity of LLMs as data annotators: AMALIA on authority
A national language model offers a linguistic community its own instrument for measuring what its citizens say and value. Portugal's AMALIA, a publicly funded 9B-parameter model for European Portugues
Research
Artificial Persons
Both advocates and skeptics of the moral status of AI systems have generally taken the question to turn on AI sentience. We present an alternative approach. On Rawls' political conception of the perso
Research
From Rules to Nash Equilibria: A Lean 4 Case Study in Game-Theoretic Analysis of a Competitive Trading Card Game
We present a metagame analysis of the competitive Pokemon Trading Card Game, machine-checked in Lean 4 over real tournament data. The headline game-theoretic results, including Nash equilibrium, repli
Research
ProjAgent: Procedural Similarity Retrieval for Repository-Level Code Generation
Repository-level code generation requires implementing target functions while accounting for complex cross-file dependencies and project-specific conventions. Existing retrieval methods predominantly
Research
Rumour Spreading In Community Based Networks
Many real-world networks have the characteristic that they are comprised of distinct groups or communities whose members contain many links within the community but with fewer connections to others. I
Research
Improving Ad-hoc Search Effectiveness for Conversational Information Retrieval via Model Merging
Conversational information retrieval is challenging since it requires the consideration of the conversation history which potentially gives rise to topic shifts and coreference resolution across previ
Research
Log-Insight: Automating Microservice Incident Diagnosis via Neuro-Symbolic Log Analysis
Diagnosing production incidents in large-scale microservice systems is time-critical for Site Reliability Engineers (SREs). A single 30-minute incident window in our deployment can generate over two m
Research
Elitism in the Aisle: A Long-Run Surname Measure of Legislative Elite Composition in Chile, 1834-2020
The link between descriptive and substantive representation is well established in the literature but is hard to trace historically, where class records are thin. We introduce a replicable enduring-el
Research
Locality of Curve-Decoding and Improved Proximity Gaps
Proximity gaps are a property of error correcting codes that arise in the study of Interactive Oracle Proofs (IOPs) and Succinct Non-interactive Arguments of Zero Knowledge (SNARKs). Recent work of Go
Research
The geopolitics of knowledge: tipping points, national fingerprints, and the unequal globalization of science
Science is often portrayed as a universal and self-contained system, driven solely by the internal logic of knowledge accumulation and isolated from the turbulences of the socio-political world. In th
Research
The Context Access Divide: Interaction-Level Architecture as a Complementary Dimension of Agentic Inequality
Sharp et al. (2025) introduce "agentic inequality" as a framework for analyzing disparities in access to AI agents across three dimensions: availability, quality, and quantity. These person- and organ
Research
Conversational Retrieval and On-the-Fly Knowledge Modeling of Historical Penitentiary Repression Records
Recent developments in digital libraries increasingly favor conversational and natural language access to information through Retrieval-Augmented Generation (RAG). Although these approaches are effect
Research
Does online sustainability communication shape public discourse? Insights from six years of tenant-housing provider interactions
Authorities increasingly rely on social media to advance sustainability transitions, infrastructure investment, and service reform. Yet how citizens respond to these digital communications remains poo
Research
TRACE: A Two-Channel Robust Attribution Watermark via Complementary Embeddings for LLM-Agent Trajectories
LLM agents reach users through resellers, who may rebrand a developer's agent or substitute a cheaper model. When provenance is disputed, attribution rests on the trajectory log (the record of tool ca
Research
Token-Flow Firewall: Semantic Runtime Auditing for Persistent AI Agents
Persistent AI agents extend large language models (LLMs) beyond single-turn interaction into long-lived software systems. Unlike traditional chat assistants, unsafe content in these agents can propaga
Research
Secure QR Codes: Authenticity Verification via EdDSA Signatures and CBOR Certificates
QR codes are a ubiquitous part of daily life, widely trusted by millions. However, their lack of inherent security features has given rise to critical attack vectors, such as spoofing (quishing) on pu
Research
Large-Language-Models-as-a-Judge in Theory-Agnostic Adaptive Metric-Alignment for Prototypical Networks in Personality Recognition
Personality recognition has traditionally been constrained by theory-dependent formulations, where models are trained to fit predefined psychological taxonomies rather than uncovering shared underlyin
Research
DaV-Gen: End-to-End Generative Retrieval via Draft-and-Verify
Mainstream industrial information retrieval systems (e.g., search and recommendation) are usually built upon Multi-Stage Cascade Architectures (MCAs), which balance effectiveness and efficiency throug
Research
Grounded Event Extraction from SEC 8-K Filings with a Fine-Grained Taxonomy
Form 8-K filings are the primary channel through which U.S. public companies disclose material events, but the SEC item codes attached to them are coarse: a single item spans routine administrative ch
Research
Selective Disclosure Watermarking for Large Language Models
Watermarking methods embed imperceptible and verifiable signals into text generated by large language models (LLMs). Existing approaches include zero-bit schemes for distinguishing synthetic text from
Research
Causal Separation, Conditional Risk, and Projected Markowitz Portfolios
We formalize a single structural condition on a portfolio problem, causal separation: conditional on the realized path of a declared set of drivers through the investment horizon, asset returns are mu
Research
PiSAs: Benchmarking Contextual Integrity in Multi-User Agentic Systems
As LLM agents evolve from single-user assistants into shared organizational infrastructure, new privacy risks emerge: inappropriate information may not only be exposed through outputs for external rec
Research
Quantum Spectral Anomaly Detection
A core task in quantum anomaly detection is to compute an anomaly score that quantifies how strongly a test quantum state deviates from a given quantum dataset assumed to be normal. Classically, princ
Research
Learning Only What Valid Adapters Can Express: Subspace-Constrained Adaptation Against Fine-Tuning Poisoning
Parameter-efficient fine-tuning still leaves a broad space of behavior-changing updates reachable, so a poisoned objective can be represented and optimized. We study an alternative: adaptation constra
Research
Forecasting Realized Volatility with Time Series Foundation Models: A Comparison with Econometric Benchmarks
We ask whether pretrained time series foundation models (TSFMs) improve on established econometric benchmarks for forecasting realized volatility. Using the VOLARE dataset, we conduct the first system
Research
Untrusted Content Masking for Web Agents with Security Guarantees
Defenses that provide security guarantees against prompt injection attacks rely on strict isolation between trusted instructions and untrusted data. In text-based environments such as tool-use APIs, t
Research
Privacy-Preserving Robustness Verification for Neural Networks
Neural network verification and data privacy are inherently in tension: verification demands full access to model parameters and input data, yet both are increasingly restricted by privacy regulations
Research
CanniUplift: A Holistic Framework for Mitigating Seller and Incentive Cannibalization in E-commerce Uplift Modeling
Personalized incentive allocation is vital for e-commerce, where uplift modeling is the standard for estimating Individual Treatment Effects (ITE). However, traditional models often fail in complex mu
Research
Curated retrieval versus open web search in public AI information services: a coverage-trust trade-off
Public institutions increasingly use large language models (LLMs) to answer citizens' questions, often pairing a curated knowledge base with live web search, yet whether the sources behind these answe
Research
Finfluencers on TikTok: A Longitudinal Analysis of Content, Engagement, and Disclaimer Practices
The rise of social media financial influencers (finfluencers) has transformed how financial information is disseminated to broad and often inexperienced audiences. While these creators may contribute
Research
When Claws Remember but Do Not Tell: Stealthy Memory Injection in Persistent Personal Agents
Persistent personal agents combine long-term memory with access to users' external environments, enabling personalized foreground assistance and proactive background execution. This integration also c
Research
Open Problems in AI Incident Governance
AI systems may produce failures after deployment that pre-deployment safety assessments do not anticipate. Managing these failures requires what we refer to as adequate \textit{AI incident governance}
Research
Algebraic Modelings of the Supersingular Isogeny Problem
We present a new algebraic modeling of the Supersingular Isogeny Problem as a system of multivariate polynomial equations, in the case where the elliptic curves are connected by an isogeny whose degre
Research
Square-Root Price Impact Is Necessary for Endogenous Manipulation Cycles in Learning-Agent Markets
We study a minimal agent-based market in which a single evolutionary-optimized institutional agent interacts with 20{,}000 herding retail traders. The agent spontaneously discovers a multi-cycle preda
Research
When Agents Lie: Premeditation, Persistence, and Exploitation in Repeated Games
As large language models are deployed as autonomous agents that communicate intentions before acting, a critical safety question is whether agents that publicly commit to actions will honor those comm
Research
Agent Data Injection Attacks are Realistic Threats to AI Agents
AI agents act on behalf of user prompts, consuming external data and taking actions based on the agent context. Prior research on AI agent security has primarily focused on indirect prompt injection (
Research
Rating the Pitch, Not the Product: User Evaluations of LLMs Reflect Expectations More Than Performance
Imagine two users interact with the same LLM. One has been told it is the cutting-edge flagship model; the other, an older, weaker model. They walk away with markedly different ratings of its usefulne
Research
From Multiplicity to Vulnerability: Privacy Amplification Risk from One-Dataset-Multiple-Model Exposure
To efficiently exploit a valuable data source (e.g., facial or medical images), it is frequently harnessed to fulfill multiple learning objectives (e.g., facial recognition, age estimation, and race c
Research
Counterfactual Methods for Detecting Unfairness in Anti-Money Laundering Algorithms
The application of machine learning-based predictive algorithms to Anti-Money Laundering (AML) has grown rapidly, driven by the vast volume of financial transaction data available to banks. These algo
Research
Any Axes Are Allowed: A Characteristic-Axis Integral Diagnosis of Factor Models
This paper extends the cap-axis integral diagnostic to general characteristic axes and measures factor-model pricing errors as bridge-alpha curves. A predetermined characteristic order generates prefi
Research
Multi Choice Min Prophet
We study the minimization counterpart of the classic prophet inequality, often termed the min prophet or cost prophet inequality. Unlike the maximization setting, where simple threshold algorithms ach
Research
When AI Is Wrong on Purpose: How Students Respond to Buggy GenAI Code
As Generative AI (GenAI) becomes increasingly central to software development, CS education is integrating prompt-centered workflows where students describe intended program behavior in natural langua
Research
International chess federation sanctions Kramnik
HackerNews discussion (169 points) about International chess federation sanctions Kramnik.
Research
Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5
HackerNews discussion (976 points) about Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5.
Research
Streaming ETL for Suspicious Activity Reports: Real-Time AML Data Pipelines with Kafka and Flink
Architecture patterns for building real-time AML surveillance data pipelines using Apache Kafka for transaction ingestion, Flink for stream processing, and Iceberg for immutable audit storage — with DataOps quality gates at every stage.
Research
Data Pipeline Observability in Financial Crime Compliance: Real-Time AML Monitoring at Scale
How DataOps practices including pipeline observability, data quality monitoring, and automated lineage tracking are transforming anti-money laundering transaction monitoring systems at major financial institutions.
Research
Cryptocurrency mixers under global regulatory spotlight after latest sanctions
Analysis of the global regulatory response to cryptocurrency mixing services following OFAC sanctions, including technical analysis of mixer protocols and legal frameworks for enforcement.
Research
AI-powered transaction monitoring: 80% false positive reduction at major European banks
Case study of how five major European banks deployed machine learning for AML transaction monitoring, achieving 80% false positive reduction while improving suspicious activity detection rates.
Research
DeFi platforms face unprecedented AML enforcement actions globally
Global regulators escalate enforcement against decentralized finance platforms for AML violations, with of recent actions by SEC, FCA, and MAS against major DeFi protocols.
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FinCEN beneficial ownership reporting: one year of data reveals patterns
Review of the first year of FinCEN's beneficial ownership reporting requirements, analyzing filing patterns, compliance rates, and enforcement actions taken against non-compliant entities.
Research
EU 7th AML Directive implementation challenges across member states
Analysis of the EU's 7th Anti-Money Laundering Directive taking effect in 2026, examining implementation challenges across member states including beneficial ownership registries, cross-border cooperation, and cryptocurrency regulation.