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recent recognition asks (50)
- what is the bridge that made recognition science parameter free
- Explain the theorem excited_jcost from IndisputableMonolith.Physics.RecognitionHamiltonianSpectrum.
- Why is phi forced?
- Explain the Lean theorem `reciprocal_primeEulerEvent_mem_sensorEulerLedger` in module `IndisputableMonolith.NumberTheory.ConcreteEulerLedger`. 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 `match_rsbridge_rung_up_quarks` in module `IndisputableMonolith.Masses.RungConstructor.Proofs`. 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 `magnitude_indist_3_neg3` in module `IndisputableMonolith.RecogGeom.Examples`. 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 `linking_selection_principle` in module `IndisputableMonolith.Papers.DraftV1`. 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 `zeroFreeCriterion_of_honestPhaseCostBridge` in module `IndisputableMonolith.NumberTheory.AnalyticTrace`. 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 `UNSATGapCondition` in module `IndisputableMonolith.Complexity.SpectralGap`. 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 `pureVectorCDoublingData_not_enough_for_critical_line` in module `IndisputableMonolith.NumberTheory.VectorCSymmetryOnlyNoGo`. 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 `kepler_selection_principle` in module `IndisputableMonolith.Papers.DraftV1`. 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 `J_log_quadratic_approx` in module `IndisputableMonolith.Foundation.DiscretenessForcing`. 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 `physics_complexity_implies_limits` in module `IndisputableMonolith.Information.PhysicsComplexityStructure`. 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 `Jcost_reciprocal_symmetric` in module `IndisputableMonolith.NumberTheory.MellinPullback`. 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 instance `rational_computable` in module `IndisputableMonolith.Meta.ConstructiveNote`. 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 `SemanticChangeType` in module `IndisputableMonolith.Linguistics.SemanticChangeFromJCost`. 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 `reciprocal_primeEulerEvent_ratio` in module `IndisputableMonolith.NumberTheory.ConcreteEulerLedger`. 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 `epsilon_log_phi_small` in module `IndisputableMonolith.NumberTheory.MeromorphicCircleOrder`. 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 `born_rule_normalized` in module `IndisputableMonolith.Measurement.BornRule`. 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 `DarkMatterHaloCert` in module `IndisputableMonolith.Physics.DarkMatterHaloProfileFromRS`. 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 `down_generation_spacing` in module `IndisputableMonolith.Masses.QuarkVerification`. 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 `defect_floor_exceeds_any_bound` in module `IndisputableMonolith.NumberTheory.CarrierBudgetComparison`. 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 `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.
- Explain the Lean def `correction` in module `IndisputableMonolith.Information.QuantumChannelCapacityFromPhi`. 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 `moon_resonance_pq` in module `IndisputableMonolith.Astrophysics.TidalLockingFromPhiResonance`. 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 `magneticReconnectionCert` in module `IndisputableMonolith.Astrophysics.MagneticReconnectionFromJCost`. 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 `symmetry_inv` in module `IndisputableMonolith.QFT.NoetherTheorem`. 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 `match_rsbridge_rung_charged_leptons` in module `IndisputableMonolith.Masses.RungConstructor.Proofs`. 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 `alpha_is_bandwidth_exponent` in module `IndisputableMonolith.Unification.BandwidthSaturation`. 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 `StressEnergyTensor` in module `IndisputableMonolith.Foundation.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 theorem `abs_exp_sub_one_sub_id_le_sq_of_abs_le_one` in module `IndisputableMonolith.NumberTheory.AnnularCost`. 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 `weight_polynomial_decay_summable` in module `IndisputableMonolith.NumberTheory.CostOperatorRegularity`. 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 `fermion_phase_from_foundation` in module `IndisputableMonolith.QFT.SpinStatistics`. 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 `match_boson_Z` in module `IndisputableMonolith.Masses.RungConstructor.Proofs`. 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 `match_boson_W` in module `IndisputableMonolith.Masses.RungConstructor.Proofs`. 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 `Jcost_mellin_reflection` in module `IndisputableMonolith.NumberTheory.MellinTransform`. 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_zero_uniqueness_neg` in module `IndisputableMonolith.Measurement.RecognitionAngle.AngleFunctionalEquation`. 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 `Composition_Normalization_implies_symmetry` in module `IndisputableMonolith.Foundation.CostAxioms`. 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 `HonestPhaseAdmissibilityBridge` in module `IndisputableMonolith.NumberTheory.HonestPhaseAdmissibility`. 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 `boson_symmetric` in module `IndisputableMonolith.QFT.SpinStatistics`. 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 `gamma_irrational_conjecture` in module `IndisputableMonolith.Constants.EulerMascheroni`. 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 `all` in module `IndisputableMonolith.Engineering.AsteroidOreSpectroscopy`. 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 `matchesPhiPeak` in module `IndisputableMonolith.Experiments.Protocols`. 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 `coronalLyapunovCert` in module `IndisputableMonolith.Astrophysics.CoronalLyapunovTime`. 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 `LinearFeasible` in module `IndisputableMonolith.Complexity.SAT.BWD3SchurPinch`. 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 `cos_satisfies_continuous_neg` in module `IndisputableMonolith.Measurement.RecognitionAngle.AngleFunctionalEquation`. 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 `TopologicalCharge` 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 def `ode_linear_regularity_bootstrap_hypothesis_neg` in module `IndisputableMonolith.Measurement.RecognitionAngle.AngleFunctionalEquation`. 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 `mock_orders_sum_relation` in module `IndisputableMonolith.Mathematics.RamanujanBridge.CongruenceQ3Bridge`. 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 `globally_minimal_gives_cycle` in module `IndisputableMonolith.Mathematics.HodgeHarmonicForms`. 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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categories
recent papers (100)
- BlitzGS: City-Scale Gaussian Splatting at Lightning Speed
- Extended Scenario Bundle Analysis: A Formal Framework for Strategic Scenario Modeling
- Stable Charge Collection and Sub-45 ps Time Resolution in a 4H-SiC PIN Detector Irradiated With Low Fluence 16.5 MeV/u Ta Ions
- First investigation of $^{96}$Zr samples enriched by the gas-centrifuge method for the use in rare-decay studies
- Highly Efficient Exciton Modulation in MoSe$_2$/PdSe$_2$ Heterostructures
- PoisonCap: Efficient Hierarchical Temporal Safety for CHERI
- Comparing the Performance of Heterogeneous Conjugate Gradient and Cholesky Solvers on Various Hardware Using SYCL
- Observation of an aperiodic polariton monotile
- Development of a sub-100 ps Time-of-Flight detector with SiPM-readout scintillator for measurement of cosmic muon velocity
- Onsager-variational formulation of diffuse-domain methods for computational modeling of microscale fluid-structure interactions
- Influence of Prandtl number on heat transfer over a permeable wall
- Decoupled Planning for Multiple Omega-Regular Objectives
- OxyEcomBench: Benchmarking Multimodal Foundation Models across E-Commerce Ecosystems
- When Does Hierarchy Help? Benchmarking Agent Coordination in Event-Driven Industrial Scheduling
- A survey on normal forms of real submanifolds with CR singularity
- Rigel3D: Rig-aware Latents for Animation-Ready 3D Asset Generation
- RPC Telescope Tests for Muon Detection at Laser-Plasma Accelerators
- A Multi-Agent Orchestration Framework for Venture Capital Due Diligence
- A philosophical history of infinitesimals
- Presentations and Representations of the Multi-Virtual Twin Group and Associated Subgroups
- Counterfactual Reasoning for Causal Responsibility Attribution in Probabilistic Multi-Agent Systems
- The Power of Graph Doubling: Computing Ultrabubbles in a Bidirected Graph by Reducing to Weak Superbubbles
- FiTS: Interpretable Spiking Neurons via Frequency Selectivity and Temporal Shaping
- 3D mechano-geometric multicellular model of apical stem cell-driven plant morphogenesis
- Quantized Transport in Floquet Topological Insulators
- Longitudinal Localized Kick Driven Fast Extraction Method and Rapid Cycling Synchrotron Design for 3D PBS Proton FLASH Delivery
- Non-arithmeticity of length spectra of subgroups of mapping class groups
- Rotational energy levels in the ground vibrational state of methane with kHz-level accuracy from comb-referenced double-resonance and Lamb-dip spectroscopies
- Identifiability Limits in Ultrasonic Microstructure Characterisation: A Canonical and Stochastic Framework
- Pitfall of Precision in Noisy Signaling
- Conveyor Parcel Routing with Order-Contiguous Arrivals
- Separable surfaces that are critical points of the Dirichlet energy
- On the additivity of projective presentations of maximal rank
- A necessary condition for cylindrical curves in terms of curvature and torsion
- Categorical (Co)Limits of Quantum Graphs
- Lefschetz Fibrations on Knot Traces of Alternating and Extended Alternating Knots
- Conditioning as a route to stereotyped behavior in growing populations
- Implicit Behavioral Decoding from Next-Step Spike Forecasts at Population Scale
- SpikeProphecy: A Large-Scale Benchmark for Autoregressive Neural Population Forecasting
- A Lower Bound on the Self-intersections of Fold Singularities
- An optimization problem for triangles
- Elementary spectral invariants and three-dimensional Reeb dynamics
- An irreducible real projective plane in the 4-sphere
- Quasi-Strong-Strong Beam-Beam Modeling of Bootstrapping Injection in FCC-ee
- Unveiling Hidden Lyman Alpha Emitters in the DESI DR1 Data
- Scalable Measurement-Based Quantum Simulation Patterns for Benchmarking
- Covering Human Action Space for Computer Use: Data Synthesis and Benchmark
- Measuring cosmic bulk flow with kinetic Sunyaev-Zel'dovich velocity reconstruction
- SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture
- EgoForce: Forearm-Guided Camera-Space 3D Hand Pose from a Monocular Egocentric Camera
- CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives
- From Web to Pixels: Bringing Agentic Search into Visual Perception
- AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in UMMs via Decompositional Verifiable Reward
- Revisiting Photometric Ambiguity for Accurate Gaussian-Splatting Surface Reconstruction
- LongMemEval-V2: Evaluating Long-Term Agent Memory Toward Experienced Colleagues
- Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation
- Elastic Attention Cores for Scalable Vision Transformers
- DNN predictions for pp reference $p_\mathrm{T}$ spectra at unmeasured $\sqrt{s}$
- Designing Coulombic Contact Interactions between Polarizable Particles through Asymmetry
- Anomalies in Neural Network Field Theory
- Task-Adaptive Embedding Refinement via Test-time LLM Guidance
- Photometric determination of the mass accretion rates of pre-main sequence stars. IX. Recent star formation in the periphery of NGC 346
- Letting the neural code speak: Automated characterization of monkey visual neurons through human language
- Learning, Fast and Slow: Towards LLMs That Adapt Continually
- Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training
- Unveiling $f(R)$ Gravity with Void-Galaxy Cross-Correlation Multipoles
- ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents
- OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation
- Cutting rules in strong field QED with application to trident pair production
- Automated multiphase identification and refinement in powder diffraction using mismatch-tolerant machine learning
- MEME: Multi-entity & Evolving Memory Evaluation
- Routers Learn the Geometry of Their Experts: Geometric Coupling in Sparse Mixture-of-Experts
- Central limit theorem for the homozygosity of the hierarchical Pitman-Yor process
- Reward Hacking in Rubric-Based Reinforcement Learning
- An Improved Lower Bound on Support Size of Capacity-Achieving Inputs for the Binomial Channel: Extended version
- Optical detection of the electron spin resonances of G centers in silicon
- KV-Fold: One-Step KV-Cache Recurrence for Long-Context Inference
- Effects of global core-mantle boundary topography on outer-core convection and topographic torques
- A note on universality in refined Chern-Simons theory
- Large $N$ factorization of families of tensor trace-invariants
- Towards Closed-loop Stability of Nonlinear Receding Horizon Games
- Solve the Loop: Attractor Models for Language and Reasoning
- High-arity Sample Compression
- Search Your Block Floating Point Scales!
- On the growth rate of Reeb orbit on star-shaped hypersurfaces
- Towards Affordable Energy: A Gymnasium Environment for Electric Utility Demand-Response Programs
- A proximal gradient algorithm for composite log-concave sampling
- Multi-Stream LLMs: Unblocking Language Models with Parallel Streams of Thoughts, Inputs and Outputs
- Trace ideals and uniserial modules
- Elemental Abundances in the Binary Star V505 Per
- Layer-Based Width for PAFP
- TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection
- Simultaneously Minimizing Storage and Bandwidth Under Exact Repair With Quantum Entanglement
- Strongly Integrable Operator-Valued Functions, Generated Vector Measures and Compactness of Integrals
- Enabling AI-Native Mobility in 6G: A Real-World Dataset for Handover, Beam Management, and Timing Advance
- The Algorithmic Caricature: Auditing LLM-Generated Political Discourse Across Crisis Events
- FuTCR: Future-Targeted Contrast and Repulsion for Continual Panoptic Segmentation
- Simulation of Non-Hermitian Hamiltonians with Bivariate Quantum Signal Processing
- LychSim: A Controllable and Interactive Simulation Framework for Vision Research
- Precessing Black Hole Jets and Galactic Fossils