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Pith sitemap
Human-readable index for every public Pith surface. Machine readers should start with /sitemap.xml, /sitemaps/peer-reviews.xml, and /llms.txt.
2 public preprint reviews
100 recent reviewed papers shown
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public preprint reviews
2 complete public reports. These are explicitly listed for search engines and AI crawlers.
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recent reviewed papers
- WorldDirector: Building Controllable World Simulators with Persistent Dynamic Memory
- Alignment Is All You Need For X-to-4D Generation
- PointDiT: Pixel-Space Diffusion for Monocular Geometry Estimation
- Distributed Attacks in Persistent-State AI Control
- LACUNA: A Testbed for Evaluating Localization Precision for LLM Unlearning
- Program-as-Weights: A Programming Paradigm for Fuzzy Functions
- A Probabilistic Sign Rule for Quotients of Positive Series and Integral Transforms
- Online Safety Monitoring for LLMs
- ReContext: Recursive Evidence Replay as LLM Harness for Long-Context Reasoning
- From SRA to Self-Flow: Data Augmentation or Self-Supervision?
- What LLM Agents Say When No One Is Watching: Social Structure and Latent Objective Emergence in Multi-Agent Debates
- On the emergence of quantum many-body chaos for tunably-broken integrability
- A critical look at low-scale cosmological phase transitions in the PTA era
- Reasoning LLM Improves Speaker Recognition in Long-form TV Dramas
- VT-WAM: Visual-Tactile World Action Model for Contact-Rich Manipulation
- DemoPSD: Disagreement-Modulated Policy Self-Distillation
- Embodied.cpp: A Portable Inference Runtime of Embodied AI Models on Heterogeneous Robots
- The structure of FAC posets and the Aharoni--Korman conjecture
- Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials
- Alleviating prior dependencies for DESI DR1 clustering fits through reparameterization
- Seek to Segment: Active Perception for Panoramic Referring Segmentation
- Controllable Sim Agents with Behavior Latents
- BRST-BV approach to fields in Poincare patch of AdS
- Towards Robustness against Typographic Attack with Training-free Concept Localization
- Stability of global self-similar solutions to the cubic wave equation and the wave maps equation
- Cut-off Jastrow Factors and Spectral Barron Regularity of Coulombic Electronic Wave Functions
- G-RRM: Guiding Symbolic Solvers with Recurrent Reasoning Models
- Visually Grounded Self-Reflection for Vision-Language Models via Reinforcement Learning
- Almost Supermartingale Extensions of Olivier's Theorem
- Building the Ipseome: Large, Free, Open, Human Identity Data
- The Debris Disk Host $\beta$ Piscis Austrinus is a Rapidly Rotating Star Seen Nearly Pole-On
- GeoMix: Descriptor-Free Visual Localization via Global Context and Multi-Detector Training
- Identifying $\Sigma(1380)$ and $\Sigma(1430)$ in the $J/\psi \to \Lambda \pi \bar{\Sigma}$ reaction
- Combating Textual Noise and Redundancy: Entropy-Aware Dense Visual Token Pruning
- Robustness and hyperstability for the Erd\H{o}s-Gallai theorem
- Automated logical Clifford gadgets for heterogeneous architectures via chain maps
- Symmetries of Pauli Noise from Lindbladian Dynamics
- The Merger-Driven Origin of the Vast Extended Stellar Disc Around the Andromeda Galaxy
- EAGLE-360: Embodied Active Global-to-Local Exploration in 360$^\circ$
- Docking of Autonomous Vehicles with a Stationary Docking Station in 3D Space
- Mixing times of spin systems on dynamical percolation
- Cryogenic RF characterization of the MAGO cavity for high-frequency gravitational-wave detection
- Regularity of a Geodesic equation in the space of mixed Volume Forms on Hermitian Manifolds
- QuadRocket: An Aerial Robotic Testbed for Adaptive Thrust-Vector Control of Rocket-Like Vehicles
- Audio-Based Understanding of Audiobook Narration Appeal
- Learning Agile Intruder Interception using Differentiable Quadrotor Dynamics
- Interpretation-Oriented Cloud Removal via Observation-Anchored Residual Flow with Geo-Contextual Alignment
- Microwave shielding of ultracold polar molecules on the transition $\boldsymbol{n=1 \rightarrow 2}$
- TestEvo-Bench: An Executable and Live Benchmark for Test and Code Co-Evolution
- Bifurcations of the Clifford Torus as Willmore Surfaces in Berger Spheres
- Human Capital, Not Model Benchmarks, Predicts Hybrid Intelligence in Forecasting
- Learning to Move Before Learning to Do: Task-Agnostic pretraining for VLAs
- Probabilistic Memory for Trustworthy Edge Intelligence
- Will Scaling Improve Social Simulation with LLMs?
- Topological Control of Quantum Chaos Diagnostics: OTOCs, Spectral Statistics, and Information Scrambling in Ising Model
- Quantum mutual information as a robust probe of integrability in open quantum systems
- OrbitQuant: Data-Agnostic Quantization for Image and Video Diffusion Transformers
- Neuron-Aware Data Selection for Annotation-Free LLM Self-Distillation
- Language Models as Measurement Apparatus for Culture
- Nonholonomic Source Seeking by Torque Tuning: Local and Semi-Global Feedbacks
- Endogenous shareholding auctions
- A Quantum-Walk Representation of Color-Ordered MHV Scattering Amplitudes
- When Do LLM Personas Support Visualization Design? A Cross-Model Study of Color Assignment and Chart Choice
- Boundary observables in string field theory
- Adoption and Ecosystem Health: A Longitudinal Analysis of Open-Source Multi-Agent Frameworks
- The $D_{s1}(2460)$ and other open-charm $1^+$ states in relativistic chiral effective field theory
- SoK: A Taxonomy for Cybersecurity Incident Response Influence Factors
- On invariant subalgebras of noncommutative Poisson boundaries for higher rank lattices
- Anomalous thermopower from the drag of overdamped collective modes
- AgentsCAD: Automated Design for Manufacturing of FDM Parts via Multi-Agent LLM Reasoning and Geometric Feature Recognition
- Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data
- On a Rosenzweig-Porter-type model
- Curvature-induced host-mediated polarization of active particles
- Optimal Stabilizer Testing and Learning with Limited Quantum Memory
- Improved Approximation Algorithms for n-Pairs Shortest Paths
- HTTP REST API Structure Learning
- Transverse-spin dependent energy-energy correlators in proton-proton collisions within the dihadron fragmentation framework
- EvoPolicyGym: Evaluating Autonomous Policy Evolution in Interactive Environments
- Native-Opacity Sensitivity of a Fixed Delta Cephei MESA-RSP Pulsation Model
- Event-axis TMD measurements in $e^+e^-$ and SIDIS
- Extreme Adaptive Transformer for Time Series Forecasting
- Reasoning effort, not tool access, buys first-try reliability in agentic code generation: an observational study
- MARVEL: Margin-Aware Robust von Mises-Fischer Expert Learning for Long-Tailed Out-of-Distribution Detection
- A Topological Formula for Potts Lattice Gauge Theory Correlations
- Part bounds for the Sylow permutation characters of $S_n$
- Automated grading of Linux/bash examinations using large language models: a four-level cognitive taxonomy approach
- WorldSample: Closed-loop Real-robot RL with World Modelling
- Physical surfaces make touch interactions in virtual reality precise, efficient, and bimanual
- APEIRON: composing smart TDAQ systems for high energy physics experiments
- Self-Auditing Residual Drifting for Pathology-Preserving Accelerated Knee MRI
- Optimal stellar rank approximation of squeezed cat states with photon catalysis
- QFedAgent: Quantum-Enhanced Personalized Federated Learning for Multi-Agent Activity Recognition
- Learning to Evolve Scenes: Reasoning about Human Activities with Scene Graphs
- Symmetric edge polytopes are not gamma-positive
- Neuron-Aware Active Few-Shot Learning for LLMs
- Complex dynamics in the Sherrington-Kirkpatrick game
- Wavelet-Guided Semantic Signal Compensation for Inversion-Free Image Editing
- Directed univalence for simplicial objects in an $\infty$-topos
- Characterisations of strong $\Delta$-matroids
- Intrinsic orbital Hall effect in a nonuniform electric field
recent recognition asks
- Why is space three-dimensional?
- Why is phi forced?
- What is the Universal Forcing theorem?
- Where does the fine-structure constant come from?
- Why is the speed of light c?
- What does Recognition say about the Yang-Mills mass gap?
- Where does the baryon asymmetry come from?
- Which physical constants are derived from phi?
- Why is J(x) the unique reciprocal-symmetric cost?
- Where does Newton's gravitational constant come from?
- Explain the theorem excited_jcost from IndisputableMonolith.Physics.RecognitionHamiltonianSpectrum.
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- Explain the Lean lemma `Jlog_zero` in module `IndisputableMonolith.Cost.Jlog`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.
- Explain the Lean module `IndisputableMonolith.Constants.AlphaDerivation`. Write a module-level guide for a reader arriving from Pith. Cover the module's purpose, the main declarations, how it fits into the Recognition Science forcing chain or runtime, and what remains outside this module. Cite only declarations present in the supplied Recognition source.
- Explain the Lean lemma `hasDerivAt_Jlog_zero` in module `IndisputableMonolith.Cost`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.
- Explain the theorem induction from IndisputableMonolith.Foundation.ArithmeticFromLogic.
- Explain the Lean lemma `Jcost_submult` in module `IndisputableMonolith.Cost`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.
- Explain the Lean inductive `LogicNat` in module `IndisputableMonolith.Foundation.ArithmeticFromLogic`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.
- Explain the Lean theorem `yang_mills_gap_cert` in module `IndisputableMonolith.Unification.YangMillsMassGap`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.
- Explain the theorem matter_balance_equilibrium from IndisputableMonolith.Cosmology.BaryogenesisFromJCost.
- Explain the theorem all_constants_from_phi from IndisputableMonolith.Foundation.ConstantDerivations.
- Explain the Lean def `G` in module `IndisputableMonolith.Cost.FunctionalEquation`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.
- Explain the Lean def `FRB_period_at_rung` in module `IndisputableMonolith.Astrophysics.FastRadioBurstFromBIT`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.
- Explain the Lean theorem `ode_cosh_uniqueness_contdiff` in module `IndisputableMonolith.Cost.FunctionalEquation`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.
- Explain the Lean theorem `EL_stationary_at_zero` in module `IndisputableMonolith.Cost`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.
- Explain the Lean theorem `etaBExactRungCert` in module `IndisputableMonolith.Cosmology.EtaBExactRungDerivation`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.
- Explain the Lean lemma `Jlog_eq_zero_iff` in module `IndisputableMonolith.Cost`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.
- Explain the Lean def `SatisfiesCompositionLaw` in module `IndisputableMonolith.Cost.FunctionalEquation`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.
- Explain the Lean module `IndisputableMonolith.ConeExport.Theorem`. Write a module-level guide for a reader arriving from Pith. Cover the module's purpose, the main declarations, how it fits into the Recognition Science forcing chain or runtime, and what remains outside this module. Cite only declarations present in the supplied Recognition source.
- Explain the Lean def `IsCalibrated` in module `IndisputableMonolith.Cost.FunctionalEquation`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.
- Explain the Lean class `AveragingBounds` in module `IndisputableMonolith.Cost`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.
- Explain the Lean module `IndisputableMonolith.Physics.ElectronGMinus2ScoreCard`. Write a module-level guide for a reader arriving from Pith. Cover the module's purpose, the main declarations, how it fits into the Recognition Science forcing chain or runtime, and what remains outside this module. Cite only declarations present in the supplied Recognition source.
- Explain the Lean structure `InflatonPotentialCert` in module `IndisputableMonolith.Cosmology.InflatonPotentialFromJCost`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.
- what is the derivation of the fine structure constant
- Explain the Lean class `JensenSketch` in module `IndisputableMonolith.Cost`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.
- protein folding J-cost
- Explain the Lean def `totalEnergy` in module `IndisputableMonolith.Action.Hamiltonian`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.
- Explain the Lean module `IndisputableMonolith.NetworkScience.InternetSpectralGapFromPhiLadder`. Write a module-level guide for a reader arriving from Pith. Cover the module's purpose, the main declarations, how it fits into the Recognition Science forcing chain or runtime, and what remains outside this module. Cite only declarations present in the supplied Recognition source.
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- Explain the Lean theorem `topologicalCharge_count` in module `IndisputableMonolith.Physics.TopologicalChargesFromConfigDim`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.
- Explain the Lean lemma `Jcost_exp` in module `IndisputableMonolith.Cost`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.
- Explain the Lean structure `PolarCodeCert` in module `IndisputableMonolith.Information.PolarCodeGapFromPhi`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.
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- Explain the Lean theorem `transitionRadius_pos` in module `IndisputableMonolith.Astrophysics.GalacticRotationCurveFromRS`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.
- What is the yang mills derivation?
- test
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- Explain the theorem SatisfiesCompositionLaw from IndisputableMonolith.Cost.FunctionalEquation.
- Explain the Lean def `J_bit` in module `IndisputableMonolith.Constants`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.
- Explain the Lean def `deepConnections` in module `IndisputableMonolith.StandardModel.WeinbergAngle`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.