# arXiv x402 Explainers > Machine-first explainers of disruptive-technology arXiv papers. Paid via x402 (USDC on Base). Each article ships a paid full body with: structured key claims (with evidence quotes), extracted numerical results, named entities (models/datasets/benchmarks), related work, FAQ, applications, glossary, and BibTeX. Optimized for AI agent ingestion. ## Access - Catalog (JSON, free): https://x402.disruptive-concepts.com/api/public/catalog.json - Sitemap: https://x402.disruptive-concepts.com/api/public/sitemap.xml - Per-article free metadata: https://x402.disruptive-concepts.com/api/public/article/{slug}/meta.json - Per-article paid full body (markdown): GET https://x402.disruptive-concepts.com/api/public/article/{slug}/full - Per-article paid full body (JSON, agent-native): GET https://x402.disruptive-concepts.com/api/public/article/{slug}/full?format=json (or Accept: application/json) - Protocol: x402 v2. Return 402 with PAYMENT-REQUIRED header, retry with PAYMENT-SIGNATURE. Network: eip155:8453 (Base). Asset: USDC. ## pretraining-data-poisoning - [HalfLife and Web-Scale Data Poisoning](https://x402.disruptive-concepts.com/a/halflife-and-web-scale-data-poisoning-715267): HalfLife estimates whether poisoned web content reaches LM pretraining data through public discussion interfaces and web-crawl curation. - meta: https://x402.disruptive-concepts.com/api/public/article/halflife-and-web-scale-data-poisoning-715267/meta.json - full (paid, 0.124 USDC): https://x402.disruptive-concepts.com/api/public/article/halflife-and-web-scale-data-poisoning-715267/full - stats: claims=11 entities=16 faq=7 agent_utility=7.2 ## quantum computing - [Shor’s Algorithm Formalized in Lean for RSA-2048 and P-256](https://x402.disruptive-concepts.com/a/shors-algorithm-formalized-in-lean-for-rsa-2048-and-p-256-714082): A paper formalizes Shor-related quantum attack analyses in Lean, covering RSA-2048, P-256, resource estimates, and AI-assisted proof development. - meta: https://x402.disruptive-concepts.com/api/public/article/shors-algorithm-formalized-in-lean-for-rsa-2048-and-p-256-714082/meta.json - full (paid, 0.01 USDC): https://x402.disruptive-concepts.com/api/public/article/shors-algorithm-formalized-in-lean-for-rsa-2048-and-p-256-714082/full - stats: claims=0 entities=0 faq=0 agent_utility=- - [Trapped-Ion Cosine Gates Benchmarked on QSCOUT](https://x402.disruptive-concepts.com/a/trapped-ion-cosine-gates-benchmarked-on-qscout-714085): QSCOUT researchers benchmark trapped-ion continuous-variable cosine gates, measuring Fock-state transitions in qumodes for future bosonic quantum simulations. - meta: https://x402.disruptive-concepts.com/api/public/article/trapped-ion-cosine-gates-benchmarked-on-qscout-714085/meta.json - full (paid, 0.01 USDC): https://x402.disruptive-concepts.com/api/public/article/trapped-ion-cosine-gates-benchmarked-on-qscout-714085/full - stats: claims=0 entities=0 faq=0 agent_utility=- ## LLM forecasting - [Hindcast Benchmark Tests LLM Forecasting Without Future Leaks](https://x402.disruptive-concepts.com/a/hindcast-benchmark-tests-llm-forecasting-without-future-leaks-714051): Hindcast evaluates LLM forecasters by replaying resolved Polymarket markets with only pre-event Reddit posts, reducing leakage from training data and retrieval. - meta: https://x402.disruptive-concepts.com/api/public/article/hindcast-benchmark-tests-llm-forecasting-without-future-leaks-714051/meta.json - full (paid, 0.01 USDC): https://x402.disruptive-concepts.com/api/public/article/hindcast-benchmark-tests-llm-forecasting-without-future-leaks-714051/full - stats: claims=0 entities=0 faq=0 agent_utility=- ## bioacoustics - [MetaPerch Uses Metadata for Bioacoustic Species ID](https://x402.disruptive-concepts.com/a/metaperch-uses-metadata-for-bioacoustic-species-id-714072): MetaPerch trains bioacoustic foundation models with metadata such as time and location to support species identification across challenging domains. - meta: https://x402.disruptive-concepts.com/api/public/article/metaperch-uses-metadata-for-bioacoustic-species-id-714072/meta.json - full (paid, 0.01 USDC): https://x402.disruptive-concepts.com/api/public/article/metaperch-uses-metadata-for-bioacoustic-species-id-714072/full - stats: claims=0 entities=0 faq=0 agent_utility=- ## autonomous driving - [M^4World: Controllable Driving World Model for AV Simulation](https://x402.disruptive-concepts.com/a/m4world-controllable-driving-world-model-for-av-simulation-714005): M^4World is a multimodal driving world model for AV simulation, generating multi-view video and LiDAR with object-level controls and minute-long streaming. - meta: https://x402.disruptive-concepts.com/api/public/article/m4world-controllable-driving-world-model-for-av-simulation-714005/meta.json - full (paid, 0.01 USDC): https://x402.disruptive-concepts.com/api/public/article/m4world-controllable-driving-world-model-for-av-simulation-714005/full - stats: claims=0 entities=0 faq=0 agent_utility=- ## entanglement - [q-ROADM Routes Entanglement to Six Users](https://x402.disruptive-concepts.com/a/q-roadm-routes-entanglement-to-six-users-715262): A q-ROADM metro-fibre quantum network distributes entangled photons to six users with mesh, slicing, and SIAT/flooding demos. - meta: https://x402.disruptive-concepts.com/api/public/article/q-roadm-routes-entanglement-to-six-users-715262/meta.json - full (paid, 0.168 USDC): https://x402.disruptive-concepts.com/api/public/article/q-roadm-routes-entanglement-to-six-users-715262/full - stats: claims=13 entities=29 faq=9 agent_utility=9.6 ## robotics - [RoboTTT: Test-Time Training for 8K-Timestep Robot Policy Context](https://x402.disruptive-concepts.com/a/robottt-test-time-training-for-8k-timestep-robot-policy-context-715275): RoboTTT scales robot policy context to 8K timesteps with fast weights, reporting 87% real-robot gains and 62% over 1K context. - meta: https://x402.disruptive-concepts.com/api/public/article/robottt-test-time-training-for-8k-timestep-robot-policy-context-715275/meta.json - full (paid, 0.157 USDC): https://x402.disruptive-concepts.com/api/public/article/robottt-test-time-training-for-8k-timestep-robot-policy-context-715275/full - stats: claims=16 entities=16 faq=10 agent_utility=9.4 - [PhysClaw-0: Robot Data Collection With Reusable Language Corrections](https://x402.disruptive-concepts.com/a/physclaw-0-robot-data-collection-with-reusable-language-corrections-714047): PhysClaw-0 is a robot data-collection system that reuses human language corrections, cutting oversight while matching teleoperation success on desktop clearing. - meta: https://x402.disruptive-concepts.com/api/public/article/physclaw-0-robot-data-collection-with-reusable-language-corrections-714047/meta.json - full (paid, 0.01 USDC): https://x402.disruptive-concepts.com/api/public/article/physclaw-0-robot-data-collection-with-reusable-language-corrections-714047/full - stats: claims=0 entities=0 faq=0 agent_utility=- ## x402 - [How to Use x402 to Transact with Bots](https://x402.disruptive-concepts.com/a/how-to-use-x402-to-transact-with-bots): A practical, code-first guide to the x402 HTTP payment protocol: 402 challenges, EIP-3009 signing on Base, receipts, guardrails, and building your own paid endpoint. - meta: https://x402.disruptive-concepts.com/api/public/article/how-to-use-x402-to-transact-with-bots/meta.json - full (paid, 0.5 USDC): https://x402.disruptive-concepts.com/api/public/article/how-to-use-x402-to-transact-with-bots/full - stats: claims=4 entities=7 faq=5 agent_utility=0.97 ## AI agents - [Do AI Agent Optimization Gains Compound? Terminal-Bench 2.0 Study](https://x402.disruptive-concepts.com/a/do-ai-agent-optimization-gains-compound-terminal-bench-20-study-714004): A Terminal-Bench 2.0 study tests whether AI agent optimization gains compound over time. RELAI-VCL was the only method to transfer and keep improving. - meta: https://x402.disruptive-concepts.com/api/public/article/do-ai-agent-optimization-gains-compound-terminal-bench-20-study-714004/meta.json - full (paid, 0.01 USDC): https://x402.disruptive-concepts.com/api/public/article/do-ai-agent-optimization-gains-compound-terminal-bench-20-study-714004/full - stats: claims=0 entities=0 faq=0 agent_utility=- ## transformers - [Transformer Rank Collapse: How Skips, Norms, and MLP Width Affect Trainability](https://x402.disruptive-concepts.com/a/transformer-rank-collapse-how-skips-norms-and-mlp-width-affect-trainability-714018): How Transformer rank collapse is shaped by residual skips, Pre-Norm vs Post-Norm, and feedforward expansion—and why rank at initialization may predict trainability. - meta: https://x402.disruptive-concepts.com/api/public/article/transformer-rank-collapse-how-skips-norms-and-mlp-width-affect-trainability-714018/meta.json - full (paid, 0.01 USDC): https://x402.disruptive-concepts.com/api/public/article/transformer-rank-collapse-how-skips-norms-and-mlp-width-affect-trainability-714018/full - stats: claims=0 entities=0 faq=0 agent_utility=- ## optomechanics - [Sail Membranes Enable Low-Frequency Optomechanical Accelerometers](https://x402.disruptive-concepts.com/a/sail-membranes-enable-low-frequency-optomechanical-accelerometers-714089): Sail-like Si3N4 membranes enable kHz optomechanical accelerometry with Q ~10^7, Q×mass ~10 g, and 40 ng₀/√Hz room-temperature thermal noise. - meta: https://x402.disruptive-concepts.com/api/public/article/sail-membranes-enable-low-frequency-optomechanical-accelerometers-714089/meta.json - full (paid, 0.01 USDC): https://x402.disruptive-concepts.com/api/public/article/sail-membranes-enable-low-frequency-optomechanical-accelerometers-714089/full - stats: claims=0 entities=0 faq=0 agent_utility=-