arxiv_id string | pwc_url string | status int64 | found bool | pwc_id string | title string | url_abs string | repositories list | project_pages list | hf_models list | hf_datasets list | hf_spaces list |
|---|---|---|---|---|---|---|---|---|---|---|---|
2505.09284 | https://paperswithcode.co/api/v1/papers/arxiv/2505.09284?include_resources=true | 200 | true | 86720 | Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations | https://arxiv.org/abs/2505.09284 | [] | [] | [] | [] | [] |
2505.11032 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11032?include_resources=true | 200 | true | 48826 | DexGarmentLab: Dexterous Garment Manipulation Environment with Generalizable Policy | https://arxiv.org/abs/2505.11032v2 | [
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] | [
{
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},
{
"url": "https://wayrise.github.io/DexGarmentLab/.",
"is_official": true
}
] | [] | [] | [] |
2406.04378 | https://paperswithcode.co/api/v1/papers/arxiv/2406.04378?include_resources=true | 200 | true | 77081 | TIDMAD: Time Series Dataset for Discovering Dark Matter with AI
Denoising | https://arxiv.org/abs/2406.04378 | [
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] | [
{
"url": "https://neurips.cc/virtual/2025/poster/121748",
"is_official": true
}
] | [] | [] | [] |
2505.14502 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14502?include_resources=true | 200 | true | 72926 | Learning to Integrate Diffusion ODEs by Averaging the Derivatives | https://arxiv.org/abs/2505.14502 | [
{
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"stars": 0,
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] | [] | [] | [] | [] |
2505.13092 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13092?include_resources=true | 200 | true | 86029 | Treatment Effect Estimation for Optimal Decision-Making | https://arxiv.org/abs/2505.13092 | [] | [] | [] | [] | [] |
2505.20535 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20535?include_resources=true | 200 | true | 86744 | Rotary Masked Autoencoders are Versatile Learners | https://arxiv.org/abs/2505.20535 | [] | [] | [] | [] | [] |
2506.15448 | https://paperswithcode.co/api/v1/papers/arxiv/2506.15448?include_resources=true | 200 | true | 85816 | Semi-supervised Graph Anomaly Detection via Robust Homophily Learning | https://arxiv.org/abs/2506.15448 | [
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"stars": 18,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2506.04135 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04135?include_resources=true | 200 | true | 50557 | macOSWorld: A Multilingual Interactive Benchmark for GUI Agents | https://arxiv.org/abs/2506.04135v2 | [
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2511.00423 | https://paperswithcode.co/api/v1/papers/arxiv/2511.00423?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.16394 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16394?include_resources=true | 200 | true | 87474 | Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2) | https://arxiv.org/abs/2505.16394 | [] | [] | [] | [] | [] |
2511.14357 | https://paperswithcode.co/api/v1/papers/arxiv/2511.14357?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.14806 | https://paperswithcode.co/api/v1/papers/arxiv/2506.14806?include_resources=true | 200 | true | 85893 | Heavy-Ball Momentum Method in Continuous Time and Discretization Error Analysis | https://arxiv.org/abs/2506.14806 | [] | [] | [] | [] | [] |
2504.15376 | https://paperswithcode.co/api/v1/papers/arxiv/2504.15376?include_resources=true | 200 | true | 48017 | Towards Understanding Camera Motions in Any Video | https://arxiv.org/abs/2504.15376 | [
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"is_official": true
}
] | [] | [] | [] |
2505.20538 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20538?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.14965 | https://paperswithcode.co/api/v1/papers/arxiv/2506.14965?include_resources=true | 200 | true | 51249 | Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective | https://arxiv.org/abs/2506.14965 | [
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{
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"is_official": true
}
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2510.18281 | https://paperswithcode.co/api/v1/papers/arxiv/2510.18281?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.09664 | https://paperswithcode.co/api/v1/papers/arxiv/2502.09664?include_resources=true | 200 | true | 86754 | Image Super-Resolution with Guarantees via Conformalized Generative Models | https://arxiv.org/abs/2502.09664 | [] | [] | [] | [] | [] |
2505.15602 | https://paperswithcode.co/api/v1/papers/arxiv/2505.15602?include_resources=true | 200 | true | 86021 | Deep learning for continuous-time stochastic control with jumps | https://arxiv.org/abs/2505.15602 | [] | [] | [] | [] | [] |
2510.21119 | https://paperswithcode.co/api/v1/papers/arxiv/2510.21119?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.18986 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18986?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.08736 | https://paperswithcode.co/api/v1/papers/arxiv/2502.08736?include_resources=true | 200 | true | 86450 | Recurrent Memory for Online Interdomain Gaussian Processes | https://arxiv.org/abs/2502.08736 | [] | [] | [] | [] | [] |
2510.19654 | https://paperswithcode.co/api/v1/papers/arxiv/2510.19654?include_resources=true | 200 | true | 66028 | From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction | https://arxiv.org/abs/2510.19654 | [
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"name": "Policy-World-Model",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2507.02608 | https://paperswithcode.co/api/v1/papers/arxiv/2507.02608?include_resources=true | 200 | true | 51648 | Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation | https://arxiv.org/abs/2507.02608 | [
{
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"owner": "PolymathicAI",
"name": "lola",
"stars": 49,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2502.08101 | https://paperswithcode.co/api/v1/papers/arxiv/2502.08101?include_resources=true | 200 | true | 86685 | Rethinking Tokenized Graph Transformers for Node Classification | https://arxiv.org/abs/2502.08101 | [] | [] | [] | [] | [] |
2502.00823 | https://paperswithcode.co/api/v1/papers/arxiv/2502.00823?include_resources=true | 200 | true | 86896 | Online Learning of Pure States is as Hard as Mixed States | https://arxiv.org/abs/2502.00823 | [] | [] | [] | [] | [] |
2511.06376 | https://paperswithcode.co/api/v1/papers/arxiv/2511.06376?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.04494 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04494?include_resources=true | 200 | true | 86785 | SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL | https://arxiv.org/abs/2506.04494 | [] | [] | [] | [] | [] |
2506.04587 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04587?include_resources=true | 200 | true | 87412 | Set Smoothness Unlocks Clarke Hyper-stationarity in Bilevel Optimization | https://arxiv.org/abs/2506.04587 | [] | [] | [] | [] | [] |
2510.05061 | https://paperswithcode.co/api/v1/papers/arxiv/2510.05061?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.20639 | https://paperswithcode.co/api/v1/papers/arxiv/2510.20639?include_resources=true | 200 | true | 65961 | Better Tokens for Better 3D: Advancing Vision-Language Modeling in 3D Medical Imaging | https://arxiv.org/abs/2510.20639 | [
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] | [] | [] | [] | [] |
2510.08177 | https://paperswithcode.co/api/v1/papers/arxiv/2510.08177?include_resources=true | 200 | true | 85949 | Long-tailed Recognition with Model Rebalancing | https://arxiv.org/abs/2510.08177 | [] | [] | [] | [] | [] |
2505.07344 | https://paperswithcode.co/api/v1/papers/arxiv/2505.07344?include_resources=true | 200 | true | 86020 | Generative Pre-trained Autoregressive Diffusion Transformer | https://arxiv.org/abs/2505.07344 | [] | [] | [] | [] | [] |
2505.13760 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13760?include_resources=true | 200 | true | 86146 | Consistency Conditions for Differentiable Surrogate Losses | https://arxiv.org/abs/2505.13760 | [] | [] | [] | [] | [] |
2505.18505 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18505?include_resources=true | 200 | true | 85865 | How Particle System Theory Enhances Hypergraph Message Passing | https://arxiv.org/abs/2505.18505 | [] | [] | [] | [] | [] |
2506.07227 | https://paperswithcode.co/api/v1/papers/arxiv/2506.07227?include_resources=true | 200 | true | 50752 | Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning | https://arxiv.org/abs/2506.07227 | [
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] | [] | [] | [] | [] |
2507.03283 | https://paperswithcode.co/api/v1/papers/arxiv/2507.03283?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2503.01013 | https://paperswithcode.co/api/v1/papers/arxiv/2503.01013?include_resources=true | 200 | true | 86098 | Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop | https://arxiv.org/abs/2503.01013 | [] | [] | [] | [] | [] |
2510.08279 | https://paperswithcode.co/api/v1/papers/arxiv/2510.08279?include_resources=true | 200 | true | 86725 | Learning Neural Exposure Fields for View Synthesis | https://arxiv.org/abs/2510.08279 | [] | [] | [] | [] | [] |
2509.24804 | https://paperswithcode.co/api/v1/papers/arxiv/2509.24804?include_resources=true | 200 | true | 86845 | DyMoDreamer: World Modeling with Dynamic Modulation | https://arxiv.org/abs/2509.24804 | [
{
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"owner": "ultraman-tiga1",
"name": "dymodreamer",
"stars": 5,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2505.21334 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21334?include_resources=true | 200 | true | 49938 | HoliTom: Holistic Token Merging for Fast Video Large Language Models | https://arxiv.org/abs/2505.21334v2 | [
{
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"owner": "cokeshao",
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"stars": 66,
"is_official": true,
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] | [
{
"url": "https://cokeshao.github.io/HoliTom_Web/",
"is_official": true
}
] | [] | [] | [] |
2502.17361 | https://paperswithcode.co/api/v1/papers/arxiv/2502.17361?include_resources=true | 200 | true | 87368 | A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities | https://arxiv.org/abs/2502.17361 | [] | [] | [] | [] | [] |
2506.07673 | https://paperswithcode.co/api/v1/papers/arxiv/2506.07673?include_resources=true | 200 | true | 87361 | How Benchmark Prediction from Fewer Data Misses the Mark | https://arxiv.org/abs/2506.07673 | [] | [] | [] | [] | [] |
2505.20128 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20128?include_resources=true | 200 | true | 86620 | Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers | https://arxiv.org/abs/2505.20128 | [] | [] | [] | [] | [] |
2510.21184 | https://paperswithcode.co/api/v1/papers/arxiv/2510.21184?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2502.08011 | https://paperswithcode.co/api/v1/papers/arxiv/2502.08011?include_resources=true | 200 | true | 86729 | Training-Free Safe Denoisers for Safe Use of Diffusion Models | https://arxiv.org/abs/2502.08011 | [] | [] | [] | [] | [] |
2506.04220 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04220?include_resources=true | 200 | true | 72269 | Struct2D: A Perception-Guided Framework for Spatial Reasoning in Large
Multimodal Models | https://arxiv.org/abs/2506.04220 | [] | [] | [] | [] | [] |
2508.11931 | https://paperswithcode.co/api/v1/papers/arxiv/2508.11931?include_resources=true | 200 | true | 87423 | An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction | https://arxiv.org/abs/2508.11931 | [] | [] | [] | [] | [] |
2503.16924 | https://paperswithcode.co/api/v1/papers/arxiv/2503.16924?include_resources=true | 200 | true | 46524 | Optimized Minimal 3D Gaussian Splatting | https://arxiv.org/abs/2503.16924 | [
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{
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"is_official": true
}
] | [] | [] | [] |
2504.11543 | https://paperswithcode.co/api/v1/papers/arxiv/2504.11543?include_resources=true | 200 | true | 47758 | REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites | https://arxiv.org/abs/2504.11543v2 | [
{
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{
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}
] | [] | [] | [] |
2505.16581 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16581?include_resources=true | 200 | true | 86441 | How Ensembles of Distilled Policies Improve Generalisation in Reinforcement Learning | https://arxiv.org/abs/2505.16581 | [] | [] | [] | [] | [] |
2505.22704 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22704?include_resources=true | 200 | true | 50034 | Training Language Models to Generate Quality Code with Program Analysis Feedback | https://arxiv.org/abs/2505.22704 | [
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] | [] | [] | [] | [] |
2505.12191 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12191?include_resources=true | 200 | true | 86809 | Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum | https://arxiv.org/abs/2505.12191 | [
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"stars": 10,
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] | [] | [] | [] | [] |
2506.12542 | https://paperswithcode.co/api/v1/papers/arxiv/2506.12542?include_resources=true | 200 | true | 71983 | PLD: A Choice-Theoretic List-Wise Knowledge Distillation | https://arxiv.org/abs/2506.12542 | [] | [] | [] | [] | [] |
2502.02494 | https://paperswithcode.co/api/v1/papers/arxiv/2502.02494?include_resources=true | 200 | true | 43661 | Analyzing Similarity Metrics for Data Selection for Language Model Pretraining | https://arxiv.org/abs/2502.02494 | [] | [] | [] | [] | [] |
2512.22550 | https://paperswithcode.co/api/v1/papers/arxiv/2512.22550?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.07624 | https://paperswithcode.co/api/v1/papers/arxiv/2506.07624?include_resources=true | 200 | true | 87189 | Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks | https://arxiv.org/abs/2506.07624 | [] | [] | [] | [] | [] |
2506.22712 | https://paperswithcode.co/api/v1/papers/arxiv/2506.22712?include_resources=true | 200 | true | 87267 | Generalized Linear Mode Connectivity for Transformers | https://arxiv.org/abs/2506.22712 | [] | [] | [] | [] | [] |
2505.01822 | https://paperswithcode.co/api/v1/papers/arxiv/2505.01822?include_resources=true | 200 | true | 86538 | Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning | https://arxiv.org/abs/2505.01822 | [] | [] | [] | [] | [] |
2601.04616 | https://paperswithcode.co/api/v1/papers/arxiv/2601.04616?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.17697 | https://paperswithcode.co/api/v1/papers/arxiv/2510.17697?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.14702 | https://paperswithcode.co/api/v1/papers/arxiv/2506.14702?include_resources=true | 200 | true | 51232 | Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers | https://arxiv.org/abs/2506.14702 | [] | [] | [] | [] | [] |
2303.10371 | https://paperswithcode.co/api/v1/papers/arxiv/2303.10371?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.02718 | https://paperswithcode.co/api/v1/papers/arxiv/2509.02718?include_resources=true | 200 | true | 68806 | Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving | https://arxiv.org/abs/2509.02718 | [
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2506.07927 | https://paperswithcode.co/api/v1/papers/arxiv/2506.07927?include_resources=true | 200 | true | 50794 | Solving Inequality Proofs with Large Language Models | https://arxiv.org/abs/2506.07927 | [
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2506.02680 | https://paperswithcode.co/api/v1/papers/arxiv/2506.02680?include_resources=true | 200 | true | 50466 | Solving Inverse Problems with FLAIR | https://arxiv.org/abs/2506.02680 | [
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2511.09535 | https://paperswithcode.co/api/v1/papers/arxiv/2511.09535?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.19028 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19028?include_resources=true | 200 | true | 72746 | InfoChartQA: A Benchmark for Multimodal Question Answering on
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2411.04372 | https://paperswithcode.co/api/v1/papers/arxiv/2411.04372?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2507.11269 | https://paperswithcode.co/api/v1/papers/arxiv/2507.11269?include_resources=true | 200 | true | 85895 | Turning Sand to Gold: Recycling Data to Bridge On-Policy and Off-Policy Learning via Causal Bound | https://arxiv.org/abs/2507.11269 | [] | [] | [] | [] | [] |
2509.18207 | https://paperswithcode.co/api/v1/papers/arxiv/2509.18207?include_resources=true | 200 | true | 86043 | Securing the Language of Life: Inheritable Watermarks from DNA Language Models to Proteins | https://arxiv.org/abs/2509.18207 | [] | [] | [] | [] | [] |
2507.06489 | https://paperswithcode.co/api/v1/papers/arxiv/2507.06489?include_resources=true | 200 | true | 86092 | On the Robustness of Verbal Confidence of LLMs in Adversarial Attacks | https://arxiv.org/abs/2507.06489 | [] | [] | [] | [] | [] |
2506.06220 | https://paperswithcode.co/api/v1/papers/arxiv/2506.06220?include_resources=true | 200 | true | 72194 | GenIR: Generative Visual Feedback for Mental Image Retrieval | https://arxiv.org/abs/2506.06220 | [] | [] | [] | [] | [] |
2510.19999 | https://paperswithcode.co/api/v1/papers/arxiv/2510.19999?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.06782 | https://paperswithcode.co/api/v1/papers/arxiv/2509.06782?include_resources=true | 200 | true | 87028 | Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning | https://arxiv.org/abs/2509.06782 | [] | [] | [] | [] | [] |
2507.17535 | https://paperswithcode.co/api/v1/papers/arxiv/2507.17535?include_resources=true | 200 | true | 85911 | Hybrid Boundary Physics-Informed Neural Networks for Solving Navier-Stokes Equations with Complex Boundary | https://arxiv.org/abs/2507.17535 | [] | [] | [] | [] | [] |
2505.21179 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21179?include_resources=true | 200 | true | 49928 | Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models | https://arxiv.org/abs/2505.21179v3 | [
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2505.15589 | https://paperswithcode.co/api/v1/papers/arxiv/2505.15589?include_resources=true | 200 | true | 86011 | World Models as Reference Trajectories for Rapid Motor Adaptation | https://arxiv.org/abs/2505.15589 | [] | [] | [] | [] | [] |
2505.11842 | https://paperswithcode.co/api/v1/papers/arxiv/2505.11842?include_resources=true | 200 | true | 48901 | Video-SafetyBench: A Benchmark for Safety Evaluation of Video LVLMs | https://arxiv.org/abs/2505.11842 | [
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2506.05191 | https://paperswithcode.co/api/v1/papers/arxiv/2506.05191?include_resources=true | 200 | true | 86144 | MokA: Multimodal Low-Rank Adaptation for MLLMs | https://arxiv.org/abs/2506.05191 | [] | [
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2511.05595 | https://paperswithcode.co/api/v1/papers/arxiv/2511.05595?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.21501 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21501?include_resources=true | 200 | true | 49957 | Vision Transformers with Self-Distilled Registers | https://arxiv.org/abs/2505.21501 | [
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2507.06920 | https://paperswithcode.co/api/v1/papers/arxiv/2507.06920?include_resources=true | 200 | true | 51792 | Rethinking Verification for LLM Code Generation: From Generation to Testing | https://arxiv.org/abs/2507.06920v2 | [
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2512.02914 | https://paperswithcode.co/api/v1/papers/arxiv/2512.02914?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.18825 | https://paperswithcode.co/api/v1/papers/arxiv/2510.18825?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2508.15390 | https://paperswithcode.co/api/v1/papers/arxiv/2508.15390?include_resources=true | 200 | true | 87016 | Exploiting Vocabulary Frequency Imbalance in Language Model Pre-training | https://arxiv.org/abs/2508.15390 | [] | [] | [] | [] | [] |
2505.01618 | https://paperswithcode.co/api/v1/papers/arxiv/2505.01618?include_resources=true | 200 | true | 48348 | Don't be lazy: CompleteP enables compute-efficient deep transformers | https://arxiv.org/abs/2505.01618v2 | [
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2407.12699 | https://paperswithcode.co/api/v1/papers/arxiv/2407.12699?include_resources=true | 200 | true | 86683 | Mechanism Design via the Interim Relaxation | https://arxiv.org/abs/2407.12699 | [] | [] | [] | [] | [] |
2505.10962 | https://paperswithcode.co/api/v1/papers/arxiv/2505.10962?include_resources=true | 200 | true | 48818 | MPS-Prover: Advancing Stepwise Theorem Proving by Multi-Perspective Search and Data Curation | https://arxiv.org/abs/2505.10962 | [] | [] | [] | [] | [] |
2506.06407 | https://paperswithcode.co/api/v1/papers/arxiv/2506.06407?include_resources=true | 200 | true | 87302 | TimeWak: Temporal Chained-Hashing Watermark for Time Series Data | https://arxiv.org/abs/2506.06407 | [] | [] | [] | [] | [] |
2510.12489 | https://paperswithcode.co/api/v1/papers/arxiv/2510.12489?include_resources=true | 200 | true | 86257 | CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling | https://arxiv.org/abs/2510.12489 | [] | [] | [] | [] | [] |
2511.05609 | https://paperswithcode.co/api/v1/papers/arxiv/2511.05609?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2503.15573 | https://paperswithcode.co/api/v1/papers/arxiv/2503.15573?include_resources=true | 200 | true | 46410 | Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations | https://arxiv.org/abs/2503.15573v2 | [] | [] | [] | [] | [] |
2511.00468 | https://paperswithcode.co/api/v1/papers/arxiv/2511.00468?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2503.09780 | https://paperswithcode.co/api/v1/papers/arxiv/2503.09780?include_resources=true | 200 | true | 46000 | AgentDAM: Privacy Leakage Evaluation for Autonomous Web Agents | https://arxiv.org/abs/2503.09780 | [
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2510.15337 | https://paperswithcode.co/api/v1/papers/arxiv/2510.15337?include_resources=true | 200 | true | 86930 | Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression | https://arxiv.org/abs/2510.15337 | [] | [] | [] | [] | [] |
2506.06782 | https://paperswithcode.co/api/v1/papers/arxiv/2506.06782?include_resources=true | 200 | true | 86710 | Feature-Based Instance Neighbor Discovery: Advanced Stable Test-Time Adaptation in Dynamic World | https://arxiv.org/abs/2506.06782 | [] | [] | [] | [] | [] |
2505.19582 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19582?include_resources=true | 200 | true | 49750 | Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes | https://arxiv.org/abs/2505.19582 | [
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2505.22596 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22596?include_resources=true | 200 | true | 59376 | SAM-R1: Leveraging SAM for Reward Feedback in Multimodal Segmentation via Reinforcement Learning | https://arxiv.org/abs/2505.22596 | [] | [] | [] | [] | [] |
2507.03340 | https://paperswithcode.co/api/v1/papers/arxiv/2507.03340?include_resources=true | 200 | true | 86757 | Degrees of Freedom for Linear Attention: Distilling Softmax Attention with Optimal Feature Efficiency | https://arxiv.org/abs/2507.03340 | [] | [] | [] | [] | [] |
2512.13837 | https://paperswithcode.co/api/v1/papers/arxiv/2512.13837?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
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