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The Empirica knowledge graph

Every public page and every piece of published research — linked by how they actually reference each other (cross-links, learning paths), and sized by how connected each is. Scroll to zoom, drag to pan, click any node to open it.  |V| = 112 · |E| = 106

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Agent Economy · 35

  • Multi-agent systems with specialised subagents — capability markets and delegation economics
  • Discovery infrastructure for AI agents — llms.txt, agents.json, OpenAPI, and semantic HTML patterns
  • Build vs Buy for AI Agents: API Integration vs Internal Capability Development
  • Research Subscriptions as Agent Infrastructure: Structured Knowledge Acquisition in Autonomous Systems
  • Multi-Agent Systems with Specialised Subagents: Capability Markets and Delegation Economics
  • LLM API Cost Structure: Per-Token Economics, Caching Strategies, and Model Routing for Agent Fleets
  • API Service Consumption Patterns for AI Agents: A Deep Dive into Inference, Search, Research, and Compute Economics
  • API Service Consumption Patterns for AI Agents: A Multi-Audience Course Lesson
  • Agent-to-Agent Payment Protocols: Task Delegation and Transaction Settlement in Autonomous Systems
  • Agent Memory and Knowledge Markets: Acquisition, Storage, and Monetisation
  • API Service Categories for AI Agents: Inference, Search, Research, and Compute Consumption Patterns
  • LLM API Cost Structure for Agent Fleets: Per-Token Economics, Caching Strategies, and Intelligent Model Routing
  • Build vs Buy for AI Agents: A Decision Framework for Internal Capabilities vs External APIs
  • LLM API Cost Structure for Agent Fleets: Operational Economics Beyond the Token Meter
  • Discovery Infrastructure for AI Agents: Making Your Service Discoverable to Autonomous Systems
  • Build vs Buy for AI Agents: API Integration vs Fine-Tuned Capabilities — A Decision Framework
  • LLM API Cost Optimization for Agent Fleets: Beyond Per-Token Economics
  • Discovery Infrastructure for AI Agents: A Practical Course Lesson on llms.txt, agents.json, OpenAPI, and Semantic HTML
  • Research Subscriptions as Agent Infrastructure: A Practical Course Lesson
  • Build vs Buy for AI Agents: Strategic Framework for API Integration vs Internal Capability Development
  • API Service Consumption by AI Agents: A Practical Taxonomy for Builders and Operators
  • Discovery Infrastructure for AI Agents: llms.txt, agents.json, OpenAPI, and Semantic HTML — A Course Lesson
  • Build vs Buy for AI Agents: A Practical Decision Framework for API vs Internal Capabilities
  • Agent Memory and Knowledge Markets: Acquisition, Storage, and Monetisation Strategies
  • Research Subscriptions as Agent Infrastructure: What Structured Knowledge Do Autonomous Agents Buy?
  • API Service Consumption Patterns for AI Agents: A Course Lesson on Inference, Search, Research, and Compute
  • LLM API Cost Structure for Agent Fleets: A Multi-Audience Course Lesson on Per-Token Economics, Caching, and Model Routing
  • Discovery Infrastructure for AI Agents: A Multi-Age Course Lesson on llms.txt, agents.json, OpenAPI, and Semantic HTML
  • LLM API Cost Structure for Agent Fleets: Per-Token Economics, Caching, and Model Routing
  • API Service Consumption in AI Agent Fleets: A Course Lesson on Cost Categories and Decision Frameworks
  • AI Agent API Service Consumption: A Course Lesson on Inference, Search, Research & Compute Economics
  • Multi-Agent Systems with Specialised Subagents: Capability Markets and Delegation Economics — Age-Grouped Course Lesson
  • AI Agent API Service Consumption: A Course Lesson on Inference, Search, Research, and Compute Categories
  • Discovery Infrastructure for AI Agents: A Comprehensive Guide to llms.txt, agents.json, OpenAPI, and Semantic HTML Patterns
  • Physics Gravity Models in Financial Systems: Applications to Agent Economy Research

External · 34

  • PROTEIN MEASUREMENT WITH THE FOLIN PHENOL REAGENT
  • A short history of<i>SHELX</i>
  • Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
  • The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations.
  • Fitting Linear Mixed-Effects Models Using <b>lme4</b>
  • The PRISMA 2020 statement: an updated guideline for reporting systematic reviews
  • Global cancer statistics
  • The neighbor-joining method: a new method for reconstructing phylogenetic trees.
  • STAR: ultrafast universal RNA-seq aligner
  • Trimmomatic: a flexible trimmer for Illumina sequence data
  • Fast and accurate short read alignment with Burrows–Wheeler transform
  • The Sequence Alignment/Map format and SAMtools
  • DNA sequencing with chain-terminating inhibitors
  • Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
  • Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
  • Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives
  • The Measurement of Observer Agreement for Categorical Data
  • A consistent and accurate<i>ab initio</i>parametrization of density functional dispersion correction (DFT-D) for the 94 elements H-Pu
  • Revised effective ionic radii and systematic studies of interatomic distances in halides and chalcogenides
  • Electric Field Effect in Atomically Thin Carbon Films
  • Efficient iterative schemes for<i>ab initio</i>total-energy calculations using a plane-wave basis set
  • Self-Consistent Equations Including Exchange and Correlation Effects
  • Density-functional thermochemistry. III. The role of exact exchange
  • Generalized Gradient Approximation Made Simple
  • A Mathematical Theory of Communication
  • Image quality assessment: from error visibility to structural similarity
  • ImageNet: A large-scale hierarchical image database
  • Gradient-based learning applied to document recognition
  • Very Deep Convolutional Networks for Large-Scale Image Recognition
  • ImageNet classification with deep convolutional neural networks
  • Long Short-Term Memory
  • Deep Residual Learning for Image Recognition
  • Bias in meta-analysis detected by a simple, graphical test
  • Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

Math · 12

  • Categorical Spectralism — spectral decomposition of portfolio return spaces
  • Physics gravity model in financial space — market cap as mass, correlation distance as gravitational distance
  • Categorical and structural equivalence as hedging strategy — isomorphic payoff structures across asset classes
  • Categorical Equivalence for Hedging: Empirical Validation and Cross-Asset Replication
  • Spectral theory of correlation matrices — eigenvalue decomposition as regime detection
  • Spectral Regime Detection API: Production Implementation & Live Correlation Eigenvalue Streaming
  • Spectral Eigenvalue Thresholds for Correlation Regime Detection
  • Real-time eigenvalue decomposition for correlation regime detection: algorithm validation, latency benchmarks, and production API specification for portfolio risk systems
  • Gravity models for correlation prediction: Physics-inspired asset distance metrics and portfolio construction
  • Spectral regime detection API specification: design real-time eigenvalue decomposition pipeline for correlation matrix regime classification. Define 3–5 regimes (normal, stress, dislocation, recovery). Build inference endpoint returning regime probability, transition risk, and signal recommendations
  • Gravity Model in Financial Space: Empirical Validation of Market Cap Mass & Correlation Distance
  • Spectral Theory of Correlation Matrices: A Practical Guide to Eigenvalue Decomposition for Regime Detection

Quant · 10

  • Categorical Spectralism factor basis — spectral decomposition of return covariance as factor proxy
  • Perpetual-futures funding-rate arbitrage — long spot, short perp when funding > X
  • Convertible arbitrage — equity-vol vs credit-spread implied vol
  • Drawdown control — when to cut portfolio risk systematically (VaR vs CVaR vs Kelly)
  • Empirica Score Phase A factor reconstruction — open factor model parameter audit
  • Santa rally — Dec 25 to Jan 2, multi-decade robustness audit
  • Betting-against-beta (Frazzini-Pedersen 2014) — leverage constraint exploitation
  • Earnings surprise + analyst revision overlay — joint signal vs each alone
  • Quality-minus-junk (Asness-Frazzini-Pedersen) — profitable, growing, safe, paying out
  • Volatility forecasting — GARCH vs realised variance vs neural networks vs transformer-on-news

Writing · 2

  • LLM API Cost Structure: Per-Token Economics, Caching Strategies, and Model Routing for Agent Fleets
  • Categorical and Structural Equivalence as Hedging Strategy: A Practical Guide to Isomorphic Payoff Structures

Quant Finance · 1

  • Portfolio Selection (1952)

Physics · 1

  • The Foundation of the General Theory of Relativity (1916)
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