diff --git a/site/src/config/brands.ts b/site/src/config/brands.ts
index c297f61..b966b55 100644
--- a/site/src/config/brands.ts
+++ b/site/src/config/brands.ts
@@ -42,12 +42,40 @@ export const brandConfigs: Record<Brand, BrandConfig> = {
     accentColor: '#00D9FF',
     logo: '/logos/hanzo-logo.svg',
     papers: [
+      {
+        id: 'aso',
+        title: 'Active Semantic Optimization (ASO)',
+        subtitle: 'Training-Free GRPO for Single-Agent Adaptation',
+        abstract: 'Training-free adaptation via Bayesian product-of-experts (PoE) decoding with token/embedding-level experiential priors. Foundation for Zoo\'s DSO multi-agent coordination. Achieves 99.8% cost reduction ($18 vs $10,000+).',
+        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/pdfs/hanzo-aso.pdf',
+        latexUrl: 'https://github.com/hanzoai/papers/blob/main/hanzo-aso.tex',
+        githubUrl: 'https://github.com/hanzoai/papers',
+        date: '2024-06-15',
+        authors: ['Hanzo AI Research'],
+        tags: ['ASO', 'GRPO', 'Code Generation', 'Cost Reduction'],
+        relatedLinks: [
+          { label: 'HIP-002 Specification', url: 'https://github.com/hanzoai/papers/blob/main/hips/HIP-002-aso.md' },
+          { label: 'Zoo DSO (builds on ASO)', url: 'https://github.com/zooai/papers' },
+        ],
+      },
+      {
+        id: 'dso',
+        title: 'Decentralized Semantic Optimization (DSO)',
+        subtitle: 'Byzantine-Robust Prior Aggregation',
+        abstract: 'Decentralized learning protocol with Byzantine fault tolerance and three-layer semantic storage architecture for multi-agent coordination.',
+        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/pdfs/hanzo-dso.pdf',
+        latexUrl: 'https://github.com/hanzoai/papers/blob/main/hanzo-dso.tex',
+        githubUrl: 'https://github.com/hanzoai/papers',
+        date: '2024-07-01',
+        authors: ['Hanzo AI Research'],
+        tags: ['DSO', 'Byzantine Robust', 'Decentralized Learning'],
+      },
       {
         id: 'hmm',
         title: 'Hamiltonian Market Maker (HMM)',
         subtitle: 'Oracle-Minimal Pricing for AI Compute Marketplace',
         abstract: 'A novel AMM design for heterogeneous compute resources with provably-stable pricing via Hamiltonian invariants. Enables oracle-minimal economic settlement for AI inference and training workloads.',
-        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/hanzo-hmm.pdf',
+        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/pdfs/hanzo-hmm.pdf',
         latexUrl: 'https://github.com/hanzoai/papers/blob/main/hanzo-hmm.tex',
         githubUrl: 'https://github.com/hanzoai/papers',
         date: '2024-10-28',
@@ -59,36 +87,220 @@ export const brandConfigs: Record<Brand, BrandConfig> = {
         ],
       },
       {
-        id: 'aso',
-        title: 'Active Semantic Optimization (ASO)',
-        subtitle: 'Training-Free GRPO for Single-Agent Adaptation',
-        abstract: 'Training-free adaptation via Bayesian product-of-experts (PoE) decoding with token/embedding-level experiential priors. Foundation for Zoo\'s DSO multi-agent coordination.',
-        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/hanzo-aso.pdf',
-        latexUrl: 'https://github.com/hanzoai/papers/blob/main/hanzo-aso.tex',
-        githubUrl: 'https://github.com/hanzoai/papers',
-        date: '2024-06-15',
-        authors: ['Hanzo AI Research'],
-        tags: ['Machine Learning', 'LLMs', 'Active Learning', 'GRPO'],
-        relatedLinks: [
-          { label: 'HIP-002 Specification', url: 'https://github.com/hanzoai/papers/blob/main/hips/HIP-002-aso.md' },
-          { label: 'Zoo DSO (builds on ASO)', url: 'https://github.com/zooai/papers' },
-        ],
-      },
-      {
-        id: 'network',
+        id: 'network-whitepaper',
         title: 'Hanzo Network Whitepaper',
         subtitle: 'L1 Blockchain for Decentralized AI Compute',
         abstract: 'Comprehensive whitepaper describing Hanzo Network\'s Layer-1 blockchain infrastructure, integrating HMM for compute pricing and supporting PoAI consensus for quality verification.',
-        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/hanzo-network-whitepaper.pdf',
+        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/pdfs/hanzo-network-whitepaper.pdf',
         latexUrl: 'https://github.com/hanzoai/papers/blob/main/hanzo-network-whitepaper.tex',
         githubUrl: 'https://github.com/hanzoai/papers',
         date: '2024-10-20',
         authors: ['Hanzo AI Team'],
         tags: ['Blockchain', 'Infrastructure', 'Network', 'Architecture'],
-        relatedLinks: [
-          { label: 'Hanzo Network', url: 'https://hanzo.ai' },
-          { label: 'GitHub', url: 'https://github.com/hanzoai' },
-        ],
+      },
+      {
+        id: 'network-architecture',
+        title: 'Hanzo Network Architecture',
+        subtitle: 'Decentralized AI Compute with Post-Quantum Security',
+        abstract: 'Network architecture with post-quantum cryptography and physics-inspired LLM routing for decentralized AI compute.',
+        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/pdfs/hanzo-network-architecture.pdf',
+        latexUrl: 'https://github.com/hanzoai/papers/blob/main/hanzo-network-architecture.tex',
+        githubUrl: 'https://github.com/hanzoai/papers',
+        date: '2024-10-25',
+        authors: ['Hanzo AI Team'],
+        tags: ['Architecture', 'Post-Quantum', 'LLM Routing'],
+      },
+      {
+        id: 'jin-architecture',
+        title: 'Jin: Unified Multimodal AI Architecture',
+        subtitle: 'Vision-Language, Audio, and Cross-Modal Understanding',
+        abstract: 'Unified architecture for vision-language, audio, and cross-modal understanding in a single multimodal framework.',
+        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/pdfs/hanzo-jin-architecture.pdf',
+        latexUrl: 'https://github.com/hanzoai/papers/blob/main/hanzo-jin-architecture.tex',
+        githubUrl: 'https://github.com/hanzoai/papers',
+        date: '2024-09-01',
+        authors: ['Hanzo AI Research'],
+        tags: ['Multimodal', 'Vision-Language', 'Audio', 'Architecture'],
+      },
+      {
+        id: 'jin',
+        title: 'Jin: Unified Multimodal Architecture (Extended)',
+        subtitle: 'Extended Technical Report',
+        abstract: 'Extended technical report on the Jin multimodal AI architecture covering implementation details and benchmarks.',
+        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/pdfs/hanzo-jin.pdf',
+        latexUrl: 'https://github.com/hanzoai/papers/blob/main/hanzo-jin.tex',
+        githubUrl: 'https://github.com/hanzoai/papers',
+        date: '2024-09-15',
+        authors: ['Hanzo AI Research'],
+        tags: ['Multimodal', 'Architecture', 'Technical Report'],
+      },
+      {
+        id: 'mcp-server',
+        title: 'Model Context Protocol Server Architecture',
+        subtitle: 'Context Management and Tool Execution for AI Systems',
+        abstract: 'Context management and tool execution for AI systems via the Model Context Protocol with 260+ integrated tools.',
+        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/pdfs/hanzo-mcp-server.pdf',
+        latexUrl: 'https://github.com/hanzoai/papers/blob/main/hanzo-mcp-server.tex',
+        githubUrl: 'https://github.com/hanzoai/papers',
+        date: '2024-11-01',
+        authors: ['Hanzo AI Research'],
+        tags: ['MCP', 'Context Management', 'Tool Use'],
+      },
+      {
+        id: 'agent-sdk',
+        title: 'Hanzo Agent SDK',
+        subtitle: 'Orchestration, Tool Use, and Memory Systems',
+        abstract: 'Building AI agents with multi-agent coordination, tool use, planning, and persistent memory systems.',
+        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/pdfs/hanzo-agent-sdk.pdf',
+        latexUrl: 'https://github.com/hanzoai/papers/blob/main/hanzo-agent-sdk.tex',
+        githubUrl: 'https://github.com/hanzoai/papers',
+        date: '2024-11-15',
+        authors: ['Hanzo AI Research'],
+        tags: ['Agents', 'SDK', 'Tool Use', 'Memory'],
+      },
+      {
+        id: 'ml-framework',
+        title: 'Hanzo ML: Production ML Framework',
+        subtitle: 'Model Serving and A/B Testing',
+        abstract: 'Enterprise ML operations with model versioning, feature stores, and inference infrastructure for production deployment.',
+        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/pdfs/hanzo-ml-framework.pdf',
+        latexUrl: 'https://github.com/hanzoai/papers/blob/main/hanzo-ml-framework.tex',
+        githubUrl: 'https://github.com/hanzoai/papers',
+        date: '2024-08-01',
+        authors: ['Hanzo AI Research'],
+        tags: ['MLOps', 'Model Serving', 'A/B Testing'],
+      },
+      {
+        id: 'identity-nft',
+        title: 'Identity NFTs for AI Agents',
+        subtitle: 'Capability Tokens for Autonomous Agents',
+        abstract: 'Token standard for autonomous AI agents with economic agency, identity, and capability delegation.',
+        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/pdfs/hanzo-identity-nft.pdf',
+        latexUrl: 'https://github.com/hanzoai/papers/blob/main/hanzo-identity-nft.tex',
+        githubUrl: 'https://github.com/hanzoai/papers',
+        date: '2024-08-15',
+        authors: ['Hanzo AI Research'],
+        tags: ['NFT', 'AI Identity', 'Capability Tokens'],
+      },
+      {
+        id: 'api-gateway',
+        title: 'Hanzo API Gateway',
+        subtitle: 'Unified Commerce API Architecture',
+        abstract: 'API gateway architecture for unified commerce operations and integrations with 100+ provider support.',
+        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/pdfs/hanzo-api-gateway.pdf',
+        latexUrl: 'https://github.com/hanzoai/papers/blob/main/hanzo-api-gateway.tex',
+        githubUrl: 'https://github.com/hanzoai/papers',
+        date: '2024-05-01',
+        authors: ['Hanzo AI Team'],
+        tags: ['API', 'Gateway', 'Commerce'],
+      },
+      {
+        id: 'ai-commerce',
+        title: 'Hanzo: An AI-First Commerce Platform',
+        subtitle: 'AI-Native Commerce Architecture',
+        abstract: 'AI-native commerce platform architecture and capabilities for next-generation e-commerce.',
+        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/pdfs/hanzo-ai-commerce.pdf',
+        latexUrl: 'https://github.com/hanzoai/papers/blob/main/hanzo-ai-commerce.tex',
+        githubUrl: 'https://github.com/hanzoai/papers',
+        date: '2024-04-01',
+        authors: ['Hanzo AI Team'],
+        tags: ['Commerce', 'AI Platform', 'E-Commerce'],
+      },
+      {
+        id: 'analytics-ml',
+        title: 'Machine Learning for Commerce Analytics',
+        subtitle: 'Predictive Models for Customer Behavior',
+        abstract: 'Predictive models for customer behavior using machine learning applied to commerce analytics.',
+        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/pdfs/hanzo-analytics-ml.pdf',
+        latexUrl: 'https://github.com/hanzoai/papers/blob/main/hanzo-analytics-ml.tex',
+        githubUrl: 'https://github.com/hanzoai/papers',
+        date: '2024-04-15',
+        authors: ['Hanzo AI Team'],
+        tags: ['Analytics', 'ML', 'Predictions'],
+      },
+      {
+        id: 'checkout',
+        title: 'Hanzo Checkout',
+        subtitle: 'Frictionless Payment Processing',
+        abstract: 'Modern payment processing architecture for e-commerce with frictionless checkout flows.',
+        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/pdfs/hanzo-checkout.pdf',
+        latexUrl: 'https://github.com/hanzoai/papers/blob/main/hanzo-checkout.tex',
+        githubUrl: 'https://github.com/hanzoai/papers',
+        date: '2024-03-01',
+        authors: ['Hanzo AI Team'],
+        tags: ['Payments', 'Checkout', 'Commerce'],
+      },
+      {
+        id: 'sdk-ecosystem',
+        title: 'The Hanzo SDK Ecosystem',
+        subtitle: 'Multi-Language Commerce Integration',
+        abstract: 'TypeScript, Python, Go, and Rust SDK architecture for commerce integration.',
+        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/pdfs/hanzo-sdk-ecosystem.pdf',
+        latexUrl: 'https://github.com/hanzoai/papers/blob/main/hanzo-sdk-ecosystem.tex',
+        githubUrl: 'https://github.com/hanzoai/papers',
+        date: '2024-05-15',
+        authors: ['Hanzo AI Team'],
+        tags: ['SDK', 'Multi-Language', 'Integration'],
+      },
+      {
+        id: 'webhooks',
+        title: 'Event-Driven Commerce: Webhook Architecture',
+        subtitle: 'Real-Time Event-Driven Integration',
+        abstract: 'Real-time webhook architecture for event-driven commerce integration and automation.',
+        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/pdfs/hanzo-webhooks.pdf',
+        latexUrl: 'https://github.com/hanzoai/papers/blob/main/hanzo-webhooks.tex',
+        githubUrl: 'https://github.com/hanzoai/papers',
+        date: '2024-05-20',
+        authors: ['Hanzo AI Team'],
+        tags: ['Webhooks', 'Events', 'Real-Time'],
+      },
+      {
+        id: 'astle-reactive-sdk',
+        title: 'Astle.js: A Reactive JavaScript SDK',
+        subtitle: 'Reactive Commerce Integration',
+        abstract: 'Reactive JavaScript SDK architecture for commerce applications with observable state management.',
+        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/pdfs/astle-reactive-sdk.pdf',
+        latexUrl: 'https://github.com/hanzoai/papers/blob/main/astle-reactive-sdk.tex',
+        githubUrl: 'https://github.com/hanzoai/papers',
+        date: '2024-03-15',
+        authors: ['Hanzo AI Team'],
+        tags: ['JavaScript', 'SDK', 'Reactive'],
+      },
+      {
+        id: 'crowdstart-commerce',
+        title: 'Crowdstart: A Cloud-Native E-Commerce Platform',
+        subtitle: 'Cloud-Native Commerce Architecture',
+        abstract: 'Cloud-native e-commerce platform design and architecture for scalable commerce operations.',
+        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/pdfs/crowdstart-commerce.pdf',
+        latexUrl: 'https://github.com/hanzoai/papers/blob/main/crowdstart-commerce.tex',
+        githubUrl: 'https://github.com/hanzoai/papers',
+        date: '2024-02-01',
+        authors: ['Hanzo AI Team'],
+        tags: ['Cloud-Native', 'E-Commerce', 'Platform'],
+      },
+      {
+        id: 'earle-genetic-marketing',
+        title: 'Earle: Genetic Algorithms for Marketing Optimization',
+        subtitle: 'Evolutionary Campaign Optimization',
+        abstract: 'Evolutionary algorithms applied to marketing campaign optimization for automated A/B testing at scale.',
+        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/pdfs/earle-genetic-marketing.pdf',
+        latexUrl: 'https://github.com/hanzoai/papers/blob/main/earle-genetic-marketing.tex',
+        githubUrl: 'https://github.com/hanzoai/papers',
+        date: '2024-02-15',
+        authors: ['Hanzo AI Team'],
+        tags: ['Genetic Algorithms', 'Marketing', 'Optimization'],
+      },
+      {
+        id: 'verus-analytics',
+        title: 'Verus: Real-Time Commerce Analytics at Scale',
+        subtitle: 'Streaming Analytics Infrastructure',
+        abstract: 'Real-time analytics infrastructure for commerce at scale with streaming processing and dashboards.',
+        pdfUrl: 'https://github.com/hanzoai/papers/raw/main/pdfs/verus-analytics.pdf',
+        latexUrl: 'https://github.com/hanzoai/papers/blob/main/verus-analytics.tex',
+        githubUrl: 'https://github.com/hanzoai/papers',
+        date: '2024-03-01',
+        authors: ['Hanzo AI Team'],
+        tags: ['Analytics', 'Real-Time', 'Scale'],
       },
     ],
   },
@@ -104,43 +316,210 @@ export const brandConfigs: Record<Brand, BrandConfig> = {
     logo: '/logos/zoo-logo.svg',
     papers: [
       {
-        id: 'dso',
-        title: 'Decentralized Semantic Optimization (DSO)',
+        id: 'foundation-mission',
+        title: 'Zoo Labs Foundation Mission',
+        subtitle: 'AI-Blockchain Research for Conservation, Education, and Science',
+        abstract: '501(c)(3) non-profit mission: Conservation AI, Educational AI, and Frontier AI research for the public good.',
+        pdfUrl: 'https://github.com/zooai/papers/raw/main/pdfs/zoo-foundation-mission.pdf',
+        latexUrl: 'https://github.com/zooai/papers/blob/main/zoo-foundation-mission.tex',
+        githubUrl: 'https://github.com/zooai/papers',
+        date: '2024-01-15',
+        authors: ['Zoo Labs Foundation'],
+        tags: ['Foundation', 'Conservation', 'Education', 'Mission'],
+      },
+      {
+        id: 'network-architecture',
+        title: 'Zoo Network Architecture',
+        subtitle: 'Decentralized AI Training and Inference Layer',
+        abstract: 'L2 AI specialization layer with HLLM integration and federated learning for decentralized training and inference.',
+        pdfUrl: 'https://github.com/zooai/papers/raw/main/pdfs/zoo-network-architecture.pdf',
+        latexUrl: 'https://github.com/zooai/papers/blob/main/zoo-network-architecture.tex',
+        githubUrl: 'https://github.com/zooai/papers',
+        date: '2024-10-01',
+        authors: ['Zoo Labs Foundation'],
+        tags: ['Architecture', 'L2', 'Federated Learning'],
+      },
+      {
+        id: 'tokenomics',
+        title: 'Zoo Tokenomics',
+        subtitle: '100% Airdrop Community-Owned AI Infrastructure',
+        abstract: '100% airdrop tokenomics with zero VC/private sales and democratic validator participation for community-owned AI.',
+        pdfUrl: 'https://github.com/zooai/papers/raw/main/pdfs/zoo-tokenomics.pdf',
+        latexUrl: 'https://github.com/zooai/papers/blob/main/zoo-tokenomics.tex',
+        githubUrl: 'https://github.com/zooai/papers',
+        date: '2024-10-15',
+        authors: ['Zoo Labs Foundation'],
+        tags: ['Tokenomics', 'Airdrop', 'DAO Governance'],
+      },
+      {
+        id: 'gym-training-platform',
+        title: 'Gym: Democratizing AI Model Training',
+        subtitle: 'Open-Source Training Infrastructure',
+        abstract: 'Comprehensive open-source platform supporting 100+ models and 8 training methods for democratized AI training.',
+        pdfUrl: 'https://github.com/zooai/papers/raw/main/pdfs/gym-training-platform.pdf',
+        latexUrl: 'https://github.com/zooai/papers/blob/main/gym-training-platform.tex',
+        githubUrl: 'https://github.com/zooai/papers',
+        date: '2024-09-01',
+        authors: ['Zoo Labs Foundation'],
+        tags: ['Gym', 'Training', 'Open Source'],
+      },
+      {
+        id: 'hllm-training-free-grpo',
+        title: 'HLLM: Hamiltonian LLMs with Training-Free GRPO',
+        subtitle: '99.8% Cost Reduction via Semantic Optimization',
+        abstract: '99.8% cost reduction ($18 vs $10,000+) and +2.7% accuracy via semantic optimization with Hamiltonian invariants.',
+        pdfUrl: 'https://github.com/zooai/papers/raw/main/pdfs/hllm-training-free-grpo.pdf',
+        latexUrl: 'https://github.com/zooai/papers/blob/main/hllm-training-free-grpo.tex',
+        githubUrl: 'https://github.com/zooai/papers',
+        date: '2024-08-01',
+        authors: ['Zoo Labs Foundation'],
+        tags: ['HLLM', 'GRPO', 'Cost Reduction', 'Optimization'],
+      },
+      {
+        id: 'zoo-dso',
+        title: 'Zoo DSO: Decentralized Semantic Optimization',
         subtitle: 'Byzantine-Robust Prior Aggregation for Collective Intelligence',
-        abstract: 'A decentralized protocol for aggregating AI model priors with Byzantine fault tolerance, enabling collective intelligence at network scale. Builds on Hanzo\'s ASO with multi-agent coordination.',
-        pdfUrl: 'https://github.com/zooai/papers/raw/main/zoo-dso.pdf',
+        abstract: 'A decentralized protocol for aggregating AI model priors with Byzantine fault tolerance, enabling collective intelligence at network scale.',
+        pdfUrl: 'https://github.com/zooai/papers/raw/main/pdfs/zoo-dso.pdf',
         latexUrl: 'https://github.com/zooai/papers/blob/main/zoo-dso.tex',
         githubUrl: 'https://github.com/zooai/papers',
         date: '2024-10-28',
         authors: ['Zoo Labs Foundation'],
-        tags: ['Machine Learning', 'Multi-Agent', 'Byzantine Fault Tolerance', 'Collective Intelligence'],
+        tags: ['DSO', 'Byzantine Robust', 'Decentralized', 'Collective Intelligence'],
         relatedLinks: [
           { label: 'ZIP-001 Specification', url: 'https://github.com/zooai/zips/blob/main/ZIP-001-dso.md' },
           { label: 'Hanzo ASO (foundation)', url: 'https://github.com/hanzoai/papers' },
         ],
       },
       {
-        id: 'genesis',
-        title: 'Zoo Labs Genesis Paper',
-        subtitle: 'AI-Powered Asset-Backed NFTs and Agent Wallets (October 2021)',
-        abstract: 'The foundational whitepaper establishing Zoo Labs as one of the first AI-powered NFT ecosystems. Each NFT represents an autonomous AI agent with its own crypto wallet. Launched October 2021 as 100% airdrop to CryptoZoo users.',
-        pdfUrl: 'https://github.com/zooai/papers/raw/main/zoo-genesis-whitepaper.md',
+        id: 'experience-ledger-dso',
+        title: 'Experience Ledger: Decentralized Semantic Optimization for LLMs',
+        subtitle: 'Three-Layer Storage with 7680-Dim Embeddings',
+        abstract: 'DSO with Byzantine-robust curation, three-layer storage, and 7680-dimensional embeddings for persistent learning.',
+        pdfUrl: 'https://github.com/zooai/papers/raw/main/pdfs/experience-ledger-dso.pdf',
+        latexUrl: 'https://github.com/zooai/papers/blob/main/experience-ledger-dso.tex',
         githubUrl: 'https://github.com/zooai/papers',
-        date: '2021-10-01',
+        date: '2024-09-15',
         authors: ['Zoo Labs Foundation'],
-        tags: ['NFT', 'AI Agents', 'Game-Fi', 'Genesis', 'Historical'],
+        tags: ['DSO', 'Experience Ledger', 'Byzantine Robust'],
+      },
+      {
+        id: 'zoo-experience-ledger',
+        title: 'Zoo Experience Ledger',
+        subtitle: 'Content-Addressable Semantic Memory',
+        abstract: 'Content-addressable semantic memory system for decentralized AI with persistent learning across agents.',
+        pdfUrl: 'https://github.com/zooai/papers/raw/main/pdfs/zoo-experience-ledger.pdf',
+        latexUrl: 'https://github.com/zooai/papers/blob/main/zoo-experience-ledger.tex',
+        githubUrl: 'https://github.com/zooai/papers',
+        date: '2024-09-20',
+        authors: ['Zoo Labs Foundation'],
+        tags: ['Experience Ledger', 'Semantic Memory', 'Content-Addressable'],
+      },
+      {
+        id: 'experience-ledger',
+        title: 'Experience Ledgers: Learning from Human-AI Interaction',
+        subtitle: 'Persistent Semantic Memory',
+        abstract: 'Persistent semantic memory from human-AI interaction for continuous learning and improvement.',
+        pdfUrl: 'https://github.com/zooai/papers/raw/main/pdfs/experience-ledger.pdf',
+        latexUrl: 'https://github.com/zooai/papers/blob/main/experience-ledger.tex',
+        githubUrl: 'https://github.com/zooai/papers',
+        date: '2024-08-15',
+        authors: ['Zoo Labs Foundation'],
+        tags: ['Experience Ledger', 'Human-AI', 'Semantic Memory'],
+      },
+      {
+        id: 'zip-002-zen-reranker',
+        title: 'ZIP-002: Zen-Reranker Integration',
+        subtitle: 'Native 7680-Dimensional Embeddings with BitDelta',
+        abstract: 'Native 7680-dimensional embeddings with BitDelta compression (31.87x ratio) for decentralized semantic optimization.',
+        pdfUrl: 'https://github.com/zooai/papers/raw/main/pdfs/zip-002-zen-reranker.pdf',
+        latexUrl: 'https://github.com/zooai/papers/blob/main/zip-002-zen-reranker.tex',
+        githubUrl: 'https://github.com/zooai/papers',
+        date: '2024-11-01',
+        authors: ['Zoo Labs Foundation'],
+        tags: ['ZIP-002', 'Zen-Reranker', 'Embeddings', 'BitDelta'],
+      },
+      {
+        id: 'zoo-poai-consensus',
+        title: 'Proof of AI: Consensus for Verifiable Compute',
+        subtitle: 'Verifiable AI Compute Contribution',
+        abstract: 'Consensus mechanism for verifying and rewarding AI compute contributions in decentralized networks.',
+        pdfUrl: 'https://github.com/zooai/papers/raw/main/pdfs/zoo-poai-consensus.pdf',
+        latexUrl: 'https://github.com/zooai/papers/blob/main/zoo-poai-consensus.tex',
+        githubUrl: 'https://github.com/zooai/papers',
+        date: '2024-11-15',
+        authors: ['Zoo Labs Foundation'],
+        tags: ['PoAI', 'Consensus', 'Verifiable Compute'],
         relatedLinks: [
-          { label: 'ZIP-003 Documentation', url: 'https://github.com/zooai/zips/blob/main/ZIP-003-genesis.md' },
-          { label: 'Zoo Website', url: 'https://zoo.ngo' },
-          { label: 'AI Chat', url: 'https://ai.zoo.ngo' },
+          { label: 'ZIP-002 Specification', url: 'https://github.com/zooai/zips/blob/main/ZIP-002-poai.md' },
         ],
       },
+      {
+        id: 'poai-consensus',
+        title: 'Proof of AI: Consensus Mechanisms for ML Workloads',
+        subtitle: 'ML-Optimized Consensus',
+        abstract: 'Consensus mechanisms designed specifically for machine learning workloads and verifiable AI computation.',
+        pdfUrl: 'https://github.com/zooai/papers/raw/main/pdfs/poai-consensus.pdf',
+        latexUrl: 'https://github.com/zooai/papers/blob/main/poai-consensus.tex',
+        githubUrl: 'https://github.com/zooai/papers',
+        date: '2024-11-20',
+        authors: ['Zoo Labs Foundation'],
+        tags: ['PoAI', 'ML Consensus', 'Proof Systems'],
+      },
+      {
+        id: 'zoo-agent-nft',
+        title: 'Agent NFTs: Token Standard for Autonomous AI Agents',
+        subtitle: 'AI Agent Tokenization',
+        abstract: 'Token standard for AI agents with economic agency, autonomous operation, and decentralized governance.',
+        pdfUrl: 'https://github.com/zooai/papers/raw/main/pdfs/zoo-agent-nft.pdf',
+        latexUrl: 'https://github.com/zooai/papers/blob/main/zoo-agent-nft.tex',
+        githubUrl: 'https://github.com/zooai/papers',
+        date: '2024-07-01',
+        authors: ['Zoo Labs Foundation'],
+        tags: ['Agent NFT', 'Token Standard', 'AI Agents'],
+      },
+      {
+        id: 'agent-nft',
+        title: 'Agent NFTs: Tokenized AI Ownership and Governance',
+        subtitle: 'Governance Framework for AI Agents',
+        abstract: 'Governance and ownership framework for tokenized AI agents with economic agency.',
+        pdfUrl: 'https://github.com/zooai/papers/raw/main/pdfs/agent-nft.pdf',
+        latexUrl: 'https://github.com/zooai/papers/blob/main/agent-nft.tex',
+        githubUrl: 'https://github.com/zooai/papers',
+        date: '2024-07-15',
+        authors: ['Zoo Labs Foundation'],
+        tags: ['NFT', 'AI Ownership', 'Governance'],
+      },
+      {
+        id: 'federated-dso',
+        title: 'Federated DSO: Privacy-Preserving Distributed Learning',
+        subtitle: 'Privacy-Preserving LLM Learning',
+        abstract: 'Privacy-preserving distributed learning using federated DSO for LLMs across decentralized networks.',
+        pdfUrl: 'https://github.com/zooai/papers/raw/main/pdfs/federated-dso.pdf',
+        latexUrl: 'https://github.com/zooai/papers/blob/main/federated-dso.tex',
+        githubUrl: 'https://github.com/zooai/papers',
+        date: '2024-12-01',
+        authors: ['Zoo Labs Foundation'],
+        tags: ['Federated', 'Privacy', 'Distributed Learning'],
+      },
+      {
+        id: 'embedding-7680',
+        title: 'High-Dimensional Embedding Spaces for Semantic Search',
+        subtitle: 'The Case for 7680 Dimensions',
+        abstract: 'The case for 7680-dimensional embedding spaces in semantic search for optimal retrieval quality.',
+        pdfUrl: 'https://github.com/zooai/papers/raw/main/pdfs/embedding-7680.pdf',
+        latexUrl: 'https://github.com/zooai/papers/blob/main/embedding-7680.tex',
+        githubUrl: 'https://github.com/zooai/papers',
+        date: '2024-10-01',
+        authors: ['Zoo Labs Foundation'],
+        tags: ['Embeddings', '7680-Dim', 'Semantic Search'],
+      },
     ],
   },
   zen: {
     name: 'Zen AI',
-    fullName: 'Zen AI Model Family',
-    description: 'Ultra-efficient frontier language models (600M-480B parameters) co-developed by Hanzo AI and Zoo Labs',
+    fullName: 'Zen LM',
+    description: 'Frontier AI models from 600M to 1T+ parameters co-developed by Hanzo AI and Zoo Labs',
     website: 'https://zenlm.ai',
     github: 'https://github.com/zenlm',
     primaryColor: '#9B59B6',
@@ -149,20 +528,165 @@ export const brandConfigs: Record<Brand, BrandConfig> = {
     logo: '/logos/zen-logo.svg',
     papers: [
       {
-        id: 'whitepaper',
-        title: 'Zen AI Whitepaper v1.0.1',
-        subtitle: 'Ultra-Efficient Frontier Language Models',
-        abstract: 'Complete Zen ecosystem documentation covering 600M to 480B parameter models with 95% reduction in energy consumption, RAIS achieving 94% effectiveness, and edge deployment capabilities.',
-        pdfUrl: 'https://github.com/zenlm/papers/raw/main/ZEN_WHITEPAPER_2025.md',
+        id: 'family-overview',
+        title: 'The Zen AI Model Family',
+        subtitle: 'Democratizing AI Through Efficient Architecture',
+        abstract: 'Technical overview of the full Zen model family and architecture whitepaper covering 600M to 1T+ parameters.',
+        pdfUrl: 'https://github.com/zenlm/papers/raw/main/pdfs/zen_family_overview.pdf',
+        latexUrl: 'https://github.com/zenlm/papers/blob/main/zen_family_overview.tex',
         githubUrl: 'https://github.com/zenlm/papers',
         date: '2025-01-15',
         authors: ['Hanzo AI Inc', 'Zoo Labs Foundation'],
-        tags: ['LLMs', 'Efficiency', 'Edge Computing', 'Model Architecture'],
+        tags: ['Overview', 'Architecture', 'Model Family'],
         relatedLinks: [
           { label: 'Model Hub', url: 'https://huggingface.co/zenlm' },
           { label: 'Documentation', url: 'https://zenlm.ai' },
         ],
       },
+      {
+        id: 'coder',
+        title: 'Zen Coder: Agentic Code Generation Models',
+        subtitle: '4B-1T Parameter Code Generation',
+        abstract: 'Code generation models with agentic capabilities across parameter scales from 4B to 1T.',
+        pdfUrl: 'https://github.com/zenlm/papers/raw/main/pdfs/zen-coder_whitepaper.pdf',
+        latexUrl: 'https://github.com/zenlm/papers/blob/main/zen-coder_whitepaper.tex',
+        githubUrl: 'https://github.com/zenlm/papers',
+        date: '2025-01-20',
+        authors: ['Hanzo AI Inc', 'Zoo Labs Foundation'],
+        tags: ['Coder', 'Code Generation', 'Agentic'],
+      },
+      {
+        id: 'omni',
+        title: 'Zen-Omni: Multimodal Text Model',
+        subtitle: 'Multimodal Text Understanding and Generation',
+        abstract: 'Multimodal text understanding and generation across modalities in a unified architecture.',
+        pdfUrl: 'https://github.com/zenlm/papers/raw/main/pdfs/zen-omni_whitepaper.pdf',
+        latexUrl: 'https://github.com/zenlm/papers/blob/main/zen-omni_whitepaper.tex',
+        githubUrl: 'https://github.com/zenlm/papers',
+        date: '2025-01-22',
+        authors: ['Hanzo AI Inc', 'Zoo Labs Foundation'],
+        tags: ['Omni', 'Multimodal', 'Text'],
+      },
+      {
+        id: 'next',
+        title: 'Zen-Next: Flagship Model',
+        subtitle: 'Next-Generation Frontier Model',
+        abstract: 'Next-generation flagship model technical report covering architecture innovations and benchmark results.',
+        pdfUrl: 'https://github.com/zenlm/papers/raw/main/pdfs/zen-next_whitepaper.pdf',
+        latexUrl: 'https://github.com/zenlm/papers/blob/main/zen-next_whitepaper.tex',
+        githubUrl: 'https://github.com/zenlm/papers',
+        date: '2025-02-01',
+        authors: ['Hanzo AI Inc', 'Zoo Labs Foundation'],
+        tags: ['Flagship', 'Next-Gen', 'Model'],
+      },
+      {
+        id: 'nano',
+        title: 'Zen-Nano: Mobile and IoT Intelligence',
+        subtitle: 'Ultra-Efficient Models for Edge Deployment',
+        abstract: 'Ultra-efficient models for mobile and IoT deployment with minimal resource requirements.',
+        pdfUrl: 'https://github.com/zenlm/papers/raw/main/pdfs/zen-nano_whitepaper.pdf',
+        latexUrl: 'https://github.com/zenlm/papers/blob/main/zen-nano_whitepaper.tex',
+        githubUrl: 'https://github.com/zenlm/papers',
+        date: '2025-01-25',
+        authors: ['Hanzo AI Inc', 'Zoo Labs Foundation'],
+        tags: ['Nano', 'Mobile', 'IoT', 'Edge'],
+      },
+      {
+        id: 'eco',
+        title: 'Zen-Eco: Consumer Hardware Models',
+        subtitle: 'Optimized for Consumer-Grade Hardware',
+        abstract: 'Models optimized for consumer-grade hardware with excellent quality-to-compute ratio.',
+        pdfUrl: 'https://github.com/zenlm/papers/raw/main/pdfs/zen-eco_whitepaper.pdf',
+        latexUrl: 'https://github.com/zenlm/papers/blob/main/zen-eco_whitepaper.tex',
+        githubUrl: 'https://github.com/zenlm/papers',
+        date: '2025-01-25',
+        authors: ['Hanzo AI Inc', 'Zoo Labs Foundation'],
+        tags: ['Eco', 'Consumer', 'Efficient'],
+      },
+      {
+        id: 'artist',
+        title: 'Zen-Artist: Text-to-Image Generation',
+        subtitle: 'High-Quality Image Synthesis',
+        abstract: 'Text-to-image generation model with high-quality synthesis and artistic control.',
+        pdfUrl: 'https://github.com/zenlm/papers/raw/main/pdfs/zen-artist_whitepaper.pdf',
+        latexUrl: 'https://github.com/zenlm/papers/blob/main/zen-artist_whitepaper.tex',
+        githubUrl: 'https://github.com/zenlm/papers',
+        date: '2025-01-28',
+        authors: ['Hanzo AI Inc', 'Zoo Labs Foundation'],
+        tags: ['Artist', 'Text-to-Image', 'Generation'],
+      },
+      {
+        id: 'artist-edit',
+        title: 'Zen-Artist-Edit: Image Editing and Inpainting',
+        subtitle: 'Instruction-Following Image Editing',
+        abstract: 'Image editing and inpainting capabilities with instruction-following for precise modifications.',
+        pdfUrl: 'https://github.com/zenlm/papers/raw/main/pdfs/zen-artist-edit_whitepaper.pdf',
+        latexUrl: 'https://github.com/zenlm/papers/blob/main/zen-artist-edit_whitepaper.tex',
+        githubUrl: 'https://github.com/zenlm/papers',
+        date: '2025-01-28',
+        authors: ['Hanzo AI Inc', 'Zoo Labs Foundation'],
+        tags: ['Artist', 'Image Editing', 'Inpainting'],
+      },
+      {
+        id: 'designer-instruct',
+        title: 'Zen-Designer-Instruct: Design Generation',
+        subtitle: 'Instruction-Following Design Model',
+        abstract: 'Instruction-following design generation model for professional design workflows.',
+        pdfUrl: 'https://github.com/zenlm/papers/raw/main/pdfs/zen-designer-instruct_whitepaper.pdf',
+        latexUrl: 'https://github.com/zenlm/papers/blob/main/zen-designer-instruct_whitepaper.tex',
+        githubUrl: 'https://github.com/zenlm/papers',
+        date: '2025-01-30',
+        authors: ['Hanzo AI Inc', 'Zoo Labs Foundation'],
+        tags: ['Designer', 'Instruct', 'Design'],
+      },
+      {
+        id: 'designer-thinking',
+        title: 'Zen-Designer-Thinking: Visual Reasoning',
+        subtitle: 'Visual Reasoning and Analysis',
+        abstract: 'Visual reasoning and analysis for design tasks with chain-of-thought design understanding.',
+        pdfUrl: 'https://github.com/zenlm/papers/raw/main/pdfs/zen-designer-thinking_whitepaper.pdf',
+        latexUrl: 'https://github.com/zenlm/papers/blob/main/zen-designer-thinking_whitepaper.tex',
+        githubUrl: 'https://github.com/zenlm/papers',
+        date: '2025-01-30',
+        authors: ['Hanzo AI Inc', 'Zoo Labs Foundation'],
+        tags: ['Designer', 'Visual Reasoning', 'Analysis'],
+      },
+      {
+        id: 'scribe',
+        title: 'Zen-Scribe: Speech Recognition and Transcription',
+        subtitle: 'Multi-Language Speech-to-Text',
+        abstract: 'Speech recognition and transcription model with multi-language support and high accuracy.',
+        pdfUrl: 'https://github.com/zenlm/papers/raw/main/pdfs/zen-scribe_whitepaper.pdf',
+        latexUrl: 'https://github.com/zenlm/papers/blob/main/zen-scribe_whitepaper.tex',
+        githubUrl: 'https://github.com/zenlm/papers',
+        date: '2025-02-01',
+        authors: ['Hanzo AI Inc', 'Zoo Labs Foundation'],
+        tags: ['Scribe', 'Speech', 'Transcription'],
+      },
+      {
+        id: 'guard',
+        title: 'Zen-Guard: Multilingual Safety Moderation',
+        subtitle: 'AI Safety and Content Moderation',
+        abstract: 'Safety and content moderation across languages for responsible AI deployment.',
+        pdfUrl: 'https://github.com/zenlm/papers/raw/main/pdfs/zen-guard_whitepaper.pdf',
+        latexUrl: 'https://github.com/zenlm/papers/blob/main/zen-guard_whitepaper.tex',
+        githubUrl: 'https://github.com/zenlm/papers',
+        date: '2025-02-05',
+        authors: ['Hanzo AI Inc', 'Zoo Labs Foundation'],
+        tags: ['Guard', 'Safety', 'Moderation', 'Multilingual'],
+      },
+      {
+        id: 'reranker',
+        title: 'Zen-Reranker: 7680-Dimensional Embeddings',
+        subtitle: 'Semantic Optimization with BitDelta Compression',
+        abstract: 'High-dimensional embeddings with BitDelta compression for semantic search and retrieval optimization.',
+        pdfUrl: 'https://github.com/zenlm/papers/raw/main/pdfs/zen-reranker.pdf',
+        latexUrl: 'https://github.com/zenlm/papers/blob/main/zen-reranker.tex',
+        githubUrl: 'https://github.com/zenlm/papers',
+        date: '2025-02-10',
+        authors: ['Hanzo AI Inc', 'Zoo Labs Foundation'],
+        tags: ['Reranker', 'Embeddings', '7680-Dim', 'BitDelta'],
+      },
     ],
   },
   lux: {
@@ -176,7 +700,18 @@ export const brandConfigs: Record<Brand, BrandConfig> = {
     accentColor: '#E67E22',
     logo: '/logos/lux-logo.svg',
     papers: [
-      // Foundation & Consensus
+      {
+        id: 'consensus',
+        title: 'Lux Consensus',
+        subtitle: 'Physics-Inspired Metastable Blockchain Consensus',
+        abstract: 'Novel consensus mechanism using physics-inspired metastable dynamics for high-throughput finality.',
+        pdfUrl: 'https://github.com/luxfi/papers/raw/main/pdfs/lux-consensus.pdf',
+        latexUrl: 'https://github.com/luxfi/papers/blob/main/lux-consensus.tex',
+        githubUrl: 'https://github.com/luxfi/papers',
+        date: '2024-04-01',
+        authors: ['Lux Partners'],
+        tags: ['Consensus', 'Physics-Inspired', 'Metastable'],
+      },
       {
         id: 'quantum-consensus',
         title: 'Quantum Consensus',
@@ -213,7 +748,6 @@ export const brandConfigs: Record<Brand, BrandConfig> = {
         authors: ['Lux Partners'],
         tags: ['Consensus', 'Performance', 'Probabilistic', 'Low-Latency'],
       },
-      // Chain Architecture
       {
         id: 'achain',
         title: 'A-Chain: Attestation Chain',
@@ -262,7 +796,6 @@ export const brandConfigs: Record<Brand, BrandConfig> = {
         authors: ['Lux Partners'],
         tags: ['Privacy', 'zkEVM', 'FHE', 'TEE', 'Smart Contracts'],
       },
-      // Cross-Chain
       {
         id: 'bridge',
         title: 'Lux Bridge',
@@ -275,7 +808,78 @@ export const brandConfigs: Record<Brand, BrandConfig> = {
         authors: ['Lux Partners'],
         tags: ['Bridge', 'IBC', 'Zero-Knowledge', 'Interoperability'],
       },
-      // DeFi Protocols
+      {
+        id: 'ntt',
+        title: 'NTT Transform',
+        subtitle: '85% Gas Reduction for Post-Quantum Crypto on EVM',
+        abstract: 'Number Theoretic Transform optimization for post-quantum algorithms (FALCON, Dilithium, STARKs) achieving massive gas savings.',
+        pdfUrl: 'https://github.com/luxfi/papers/raw/main/pdfs/lux-ntt-transform.pdf',
+        latexUrl: 'https://github.com/luxfi/papers/blob/main/lux-ntt-transform.tex',
+        githubUrl: 'https://github.com/luxfi/papers',
+        date: '2024-05-15',
+        authors: ['Lux Partners'],
+        tags: ['Post-Quantum', 'NTT', 'Gas Optimization', 'EVM'],
+      },
+      {
+        id: 'ethfalcon',
+        title: 'ETHFALCON',
+        subtitle: 'Post-Quantum FALCON Signatures for Ethereum',
+        abstract: 'Optimized implementation of FALCON post-quantum signatures for Ethereum, enabling quantum-safe transactions.',
+        pdfUrl: 'https://github.com/luxfi/papers/raw/main/pdfs/lux-ethfalcon-post-quantum.pdf',
+        latexUrl: 'https://github.com/luxfi/papers/blob/main/lux-ethfalcon-post-quantum.tex',
+        githubUrl: 'https://github.com/luxfi/papers',
+        date: '2024-07-01',
+        authors: ['Lux Partners'],
+        tags: ['Post-Quantum', 'FALCON', 'Ethereum', 'Signatures'],
+      },
+      {
+        id: 'threshold-signatures',
+        title: 'Universal Threshold Signatures',
+        subtitle: 'Unified Framework (CMP, FROST, LSS, Doerner, Ringtail)',
+        abstract: 'Comprehensive threshold signature framework supporting multiple protocols including post-quantum Ringtail.',
+        pdfUrl: 'https://github.com/luxfi/papers/raw/main/pdfs/lux-universal-threshold-signatures.pdf',
+        latexUrl: 'https://github.com/luxfi/papers/blob/main/lux-universal-threshold-signatures.tex',
+        githubUrl: 'https://github.com/luxfi/papers',
+        date: '2024-09-01',
+        authors: ['Lux Partners'],
+        tags: ['Threshold Signatures', 'MPC', 'Post-Quantum', 'CMP', 'FROST'],
+      },
+      {
+        id: 'verkle',
+        title: 'Verkle Trees',
+        subtitle: 'Constant-Size Proofs (~150 bytes) for Stateless Clients',
+        abstract: 'Implementation of Verkle trees for efficient state proofs enabling stateless client operation with minimal bandwidth.',
+        pdfUrl: 'https://github.com/luxfi/papers/raw/main/pdfs/lux-verkle-trees.pdf',
+        latexUrl: 'https://github.com/luxfi/papers/blob/main/lux-verkle-trees.tex',
+        githubUrl: 'https://github.com/luxfi/papers',
+        date: '2024-10-01',
+        authors: ['Lux Partners'],
+        tags: ['Verkle Trees', 'Scalability', 'Stateless', 'State Proofs'],
+      },
+      {
+        id: 'fraud-proofs',
+        title: 'Fraud Proofs',
+        subtitle: 'Optimistic Rollups with Interactive Bisection Game',
+        abstract: 'Optimistic rollup implementation with efficient fraud proof mechanism using interactive bisection for dispute resolution.',
+        pdfUrl: 'https://github.com/luxfi/papers/raw/main/pdfs/lux-fraud-proofs.pdf',
+        latexUrl: 'https://github.com/luxfi/papers/blob/main/lux-fraud-proofs.tex',
+        githubUrl: 'https://github.com/luxfi/papers',
+        date: '2024-11-15',
+        authors: ['Lux Partners'],
+        tags: ['Layer 2', 'Optimistic Rollups', 'Fraud Proofs', 'Scalability'],
+      },
+      {
+        id: 'tee-mesh',
+        title: 'TEE Computing Mesh',
+        subtitle: 'Distributed TEE Network for Confidential Computing',
+        abstract: 'Mesh network of trusted execution environments (SGX, SEV-SNP, TDX, CCA) for distributed confidential computing.',
+        pdfUrl: 'https://github.com/luxfi/papers/raw/main/pdfs/lux-tee-computing-mesh.pdf',
+        latexUrl: 'https://github.com/luxfi/papers/blob/main/lux-tee-computing-mesh.tex',
+        githubUrl: 'https://github.com/luxfi/papers',
+        date: '2024-12-01',
+        authors: ['Lux Partners'],
+        tags: ['TEE', 'Confidential Computing', 'SGX', 'SEV-SNP', 'TDX'],
+      },
       {
         id: 'lightspeed-dex',
         title: 'Lightspeed DEX',
@@ -324,7 +928,6 @@ export const brandConfigs: Record<Brand, BrandConfig> = {
         authors: ['Lux Partners'],
         tags: ['DeFi', 'Perpetuals', 'Derivatives', 'GMX', 'Trading'],
       },
-      // Web3 Infrastructure
       {
         id: 'market',
         title: 'Lux.market NFT',
@@ -361,7 +964,6 @@ export const brandConfigs: Record<Brand, BrandConfig> = {
         authors: ['Lux Partners'],
         tags: ['DID', 'Identity', 'W3C', 'Verifiable Credentials'],
       },
-      // Governance & DAO
       {
         id: 'governance',
         title: 'Governance & DAO',
@@ -386,81 +988,6 @@ export const brandConfigs: Record<Brand, BrandConfig> = {
         authors: ['Lux Partners'],
         tags: ['DAO', 'Governance', 'Azorius', 'ERC6551', 'NFT'],
       },
-      // Post-Quantum Innovations
-      {
-        id: 'ntt',
-        title: 'NTT Transform',
-        subtitle: '85% Gas Reduction for Post-Quantum Crypto on EVM',
-        abstract: 'Number Theoretic Transform optimization for post-quantum algorithms (FALCON, Dilithium, STARKs) achieving massive gas savings.',
-        pdfUrl: 'https://github.com/luxfi/papers/raw/main/pdfs/lux-ntt-transform.pdf',
-        latexUrl: 'https://github.com/luxfi/papers/blob/main/lux-ntt-transform.tex',
-        githubUrl: 'https://github.com/luxfi/papers',
-        date: '2024-05-15',
-        authors: ['Lux Partners'],
-        tags: ['Post-Quantum', 'NTT', 'Gas Optimization', 'EVM'],
-      },
-      {
-        id: 'ethfalcon',
-        title: 'ETHFALCON',
-        subtitle: 'Post-Quantum FALCON Signatures for Ethereum',
-        abstract: 'Optimized implementation of FALCON post-quantum signatures for Ethereum, enabling quantum-safe transactions.',
-        pdfUrl: 'https://github.com/luxfi/papers/raw/main/pdfs/lux-ethfalcon-post-quantum.pdf',
-        latexUrl: 'https://github.com/luxfi/papers/blob/main/lux-ethfalcon-post-quantum.tex',
-        githubUrl: 'https://github.com/luxfi/papers',
-        date: '2024-07-01',
-        authors: ['Lux Partners'],
-        tags: ['Post-Quantum', 'FALCON', 'Ethereum', 'Signatures'],
-      },
-      {
-        id: 'threshold-signatures',
-        title: 'Universal Threshold Signatures',
-        subtitle: 'Unified Framework (CMP, FROST, LSS, Doerner, Ringtail)',
-        abstract: 'Comprehensive threshold signature framework supporting multiple protocols including post-quantum Ringtail.',
-        pdfUrl: 'https://github.com/luxfi/papers/raw/main/pdfs/lux-universal-threshold-signatures.pdf',
-        latexUrl: 'https://github.com/luxfi/papers/blob/main/lux-universal-threshold-signatures.tex',
-        githubUrl: 'https://github.com/luxfi/papers',
-        date: '2024-09-01',
-        authors: ['Lux Partners'],
-        tags: ['Threshold Signatures', 'MPC', 'Post-Quantum', 'CMP', 'FROST'],
-      },
-      // Scalability & Layer 2
-      {
-        id: 'verkle',
-        title: 'Verkle Trees',
-        subtitle: 'Constant-Size Proofs (~150 bytes) for Stateless Clients',
-        abstract: 'Implementation of Verkle trees for efficient state proofs enabling stateless client operation with minimal bandwidth.',
-        pdfUrl: 'https://github.com/luxfi/papers/raw/main/pdfs/lux-verkle-trees.pdf',
-        latexUrl: 'https://github.com/luxfi/papers/blob/main/lux-verkle-trees.tex',
-        githubUrl: 'https://github.com/luxfi/papers',
-        date: '2024-10-01',
-        authors: ['Lux Partners'],
-        tags: ['Verkle Trees', 'Scalability', 'Stateless', 'State Proofs'],
-      },
-      {
-        id: 'fraud-proofs',
-        title: 'Fraud Proofs',
-        subtitle: 'Optimistic Rollups with Interactive Bisection Game',
-        abstract: 'Optimistic rollup implementation with efficient fraud proof mechanism using interactive bisection for dispute resolution.',
-        pdfUrl: 'https://github.com/luxfi/papers/raw/main/pdfs/lux-fraud-proofs.pdf',
-        latexUrl: 'https://github.com/luxfi/papers/blob/main/lux-fraud-proofs.tex',
-        githubUrl: 'https://github.com/luxfi/papers',
-        date: '2024-11-15',
-        authors: ['Lux Partners'],
-        tags: ['Layer 2', 'Optimistic Rollups', 'Fraud Proofs', 'Scalability'],
-      },
-      // Advanced Infrastructure
-      {
-        id: 'tee-mesh',
-        title: 'TEE Computing Mesh',
-        subtitle: 'Distributed TEE Network for Confidential Computing',
-        abstract: 'Mesh network of trusted execution environments (SGX, SEV-SNP, TDX, CCA) for distributed confidential computing.',
-        pdfUrl: 'https://github.com/luxfi/papers/raw/main/pdfs/lux-tee-computing-mesh.pdf',
-        latexUrl: 'https://github.com/luxfi/papers/blob/main/lux-tee-computing-mesh.tex',
-        githubUrl: 'https://github.com/luxfi/papers',
-        date: '2024-12-01',
-        authors: ['Lux Partners'],
-        tags: ['TEE', 'Confidential Computing', 'SGX', 'SEV-SNP', 'TDX'],
-      },
     ],
   },
 }