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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
2412.10743 | https://paperswithcode.co/api/v1/papers/arxiv/2412.10743?include_resources=true | 200 | true | 86779 | NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models | https://arxiv.org/abs/2412.10743 | [] | [] | [] | [] | [] |
2507.06558 | https://paperswithcode.co/api/v1/papers/arxiv/2507.06558?include_resources=true | 200 | true | 71317 | The Primacy of Magnitude in Low-Rank Adaptation | https://arxiv.org/abs/2507.06558 | [] | [] | [] | [] | [] |
2508.00831 | https://paperswithcode.co/api/v1/papers/arxiv/2508.00831?include_resources=true | 200 | true | 72402 | EngiBench: A Framework for Data-Driven Engineering Design Research | https://arxiv.org/abs/2508.00831 | [
{
"url": "https://github.com/IDEALLab/EngiBench",
"owner": "IDEALLab",
"name": "EngiBench",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://engibench.ethz.ch/",
"is_official": true
}
] | [] | [] | [] |
2506.13260 | https://paperswithcode.co/api/v1/papers/arxiv/2506.13260?include_resources=true | 200 | true | 86465 | COME: Adding Scene-Centric Forecasting Control to Occupancy World Model | https://arxiv.org/abs/2506.13260 | [
{
"url": "https://github.com/synsin0/come",
"owner": "synsin0",
"name": "come",
"stars": 42,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2501.18877 | https://paperswithcode.co/api/v1/papers/arxiv/2501.18877?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.16649 | https://paperswithcode.co/api/v1/papers/arxiv/2505.16649?include_resources=true | 200 | true | 86776 | Stochastic Forward-Forward Learning through Representational Dimensionality Compression | https://arxiv.org/abs/2505.16649 | [
{
"url": "https://github.com/zhichaozhu/stochasticforwardforward",
"owner": "zhichaozhu",
"name": "stochasticforwardforward",
"stars": 1,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2505.12457 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12457?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.22396 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22396?include_resources=true | 200 | true | 86606 | Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs | https://arxiv.org/abs/2505.22396 | [] | [] | [] | [] | [] |
2509.10696 | https://paperswithcode.co/api/v1/papers/arxiv/2509.10696?include_resources=true | 200 | true | 52833 | Struct-Bench: A Benchmark for Differentially Private Structured Text
Generation | https://arxiv.org/abs/2509.10696 | [
{
"url": "https://github.com/struct-bench/structpe",
"owner": "struct-bench",
"name": "structpe",
"stars": 4,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://struct-bench.github.io",
"is_official": true
}
] | [] | [] | [] |
2506.02560 | https://paperswithcode.co/api/v1/papers/arxiv/2506.02560?include_resources=true | 200 | true | 72341 | DCI: Dual-Conditional Inversion for Boosting Diffusion-Based Image
Editing | https://arxiv.org/abs/2506.02560 | [] | [] | [] | [] | [] |
2505.21133 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21133?include_resources=true | 200 | true | 86975 | Robust and Computation-Aware Gaussian Processes | https://arxiv.org/abs/2505.21133 | [] | [] | [] | [] | [] |
2506.00744 | https://paperswithcode.co/api/v1/papers/arxiv/2506.00744?include_resources=true | 200 | true | 87413 | Blending Complementary Memory Systems in Hybrid Quadratic-Linear Transformers | https://arxiv.org/abs/2506.00744 | [] | [] | [] | [] | [] |
2510.08625 | https://paperswithcode.co/api/v1/papers/arxiv/2510.08625?include_resources=true | 200 | true | 87173 | Adjusting Initial Noise to Mitigate Memorization in Text-to-Image Diffusion Models | https://arxiv.org/abs/2510.08625 | [] | [] | [] | [] | [] |
2512.08765 | https://paperswithcode.co/api/v1/papers/arxiv/2512.08765?include_resources=true | 200 | true | 54656 | Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance | https://arxiv.org/abs/2512.08765 | [
{
"url": "https://github.com/ali-vilab/Wan-Move",
"owner": "ali-vilab",
"name": "Wan-Move",
"stars": 630,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://wan-move.github.io/",
"is_official": true
}
] | [] | [] | [] |
2503.18142 | https://paperswithcode.co/api/v1/papers/arxiv/2503.18142?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.00614 | https://paperswithcode.co/api/v1/papers/arxiv/2509.00614?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2501.03120 | https://paperswithcode.co/api/v1/papers/arxiv/2501.03120?include_resources=true | 200 | true | 42534 | CAT: Content-Adaptive Image Tokenization | https://arxiv.org/abs/2501.03120 | [] | [] | [] | [] | [] |
2511.05509 | https://paperswithcode.co/api/v1/papers/arxiv/2511.05509?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2511.12754 | https://paperswithcode.co/api/v1/papers/arxiv/2511.12754?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.00596 | https://paperswithcode.co/api/v1/papers/arxiv/2506.00596?include_resources=true | 200 | true | 72479 | Seg2Any: Open-set Segmentation-Mask-to-Image Generation with Precise
Shape and Semantic Control | https://arxiv.org/abs/2506.00596 | [] | [] | [] | [] | [] |
2504.16074 | https://paperswithcode.co/api/v1/papers/arxiv/2504.16074?include_resources=true | 200 | true | 48059 | PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models | https://arxiv.org/abs/2504.16074v2 | [
{
"url": "https://github.com/phybench-official/phybench",
"owner": "phybench-official",
"name": "phybench",
"stars": 21,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://phybench-official.github.io/phybench-demo/",
"is_official": true
}
] | [] | [] | [] |
2506.19072 | https://paperswithcode.co/api/v1/papers/arxiv/2506.19072?include_resources=true | 200 | true | 86006 | Hawaii: Hierarchical Visual Knowledge Transfer for Efficient Vision-Language Models | https://arxiv.org/abs/2506.19072 | [] | [] | [] | [] | [] |
2504.15863 | https://paperswithcode.co/api/v1/papers/arxiv/2504.15863?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.01809 | https://paperswithcode.co/api/v1/papers/arxiv/2509.01809?include_resources=true | 200 | true | 86980 | The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements | https://arxiv.org/abs/2509.01809 | [] | [] | [] | [] | [] |
2505.22359 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22359?include_resources=true | 200 | true | 86672 | Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification | https://arxiv.org/abs/2505.22359 | [] | [] | [] | [] | [] |
2510.27128 | https://paperswithcode.co/api/v1/papers/arxiv/2510.27128?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.16456 | https://paperswithcode.co/api/v1/papers/arxiv/2509.16456?include_resources=true | 200 | true | 87075 | GPO: Learning from Critical Steps to Improve LLM Reasoning | https://arxiv.org/abs/2509.16456 | [] | [] | [] | [] | [] |
2510.03899 | https://paperswithcode.co/api/v1/papers/arxiv/2510.03899?include_resources=true | 200 | true | 86850 | Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity | https://arxiv.org/abs/2510.03899 | [] | [] | [] | [] | [] |
2506.09813 | https://paperswithcode.co/api/v1/papers/arxiv/2506.09813?include_resources=true | 200 | true | 87360 | Metritocracy: Representative Metrics for Lite Benchmarks | https://arxiv.org/abs/2506.09813 | [] | [] | [] | [] | [] |
2511.00097 | https://paperswithcode.co/api/v1/papers/arxiv/2511.00097?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2602.11609 | https://paperswithcode.co/api/v1/papers/arxiv/2602.11609?include_resources=true | 200 | true | 56111 | scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and Discovery | https://arxiv.org/abs/2602.11609 | [
{
"url": "https://github.com/maitrix-org/scPilot",
"owner": "maitrix-org",
"name": "scPilot",
"stars": 8,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2511.08512 | https://paperswithcode.co/api/v1/papers/arxiv/2511.08512?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.20024 | https://paperswithcode.co/api/v1/papers/arxiv/2506.20024?include_resources=true | 200 | true | 86244 | Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting | https://arxiv.org/abs/2506.20024 | [
{
"url": "https://github.com/salvarc/erdm",
"owner": "salvarc",
"name": "erdm",
"stars": 21,
"is_official": true,
"source": "neurips2025_import"
}
] | [] | [] | [] | [] |
2510.01240 | https://paperswithcode.co/api/v1/papers/arxiv/2510.01240?include_resources=true | 200 | true | 86222 | RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models | https://arxiv.org/abs/2510.01240 | [] | [] | [] | [] | [] |
2506.04206 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04206?include_resources=true | 200 | true | 86141 | A Few Moments Please: Scalable Graphon Learning via Moment Matching | https://arxiv.org/abs/2506.04206 | [] | [] | [] | [] | [] |
2501.14315 | https://paperswithcode.co/api/v1/papers/arxiv/2501.14315?include_resources=true | 200 | true | 43194 | Mitigating Forgetting in LLM Fine-Tuning via Low-Perplexity Token Learning | https://arxiv.org/abs/2501.14315v2 | [] | [] | [] | [] | [] |
2407.03094 | https://paperswithcode.co/api/v1/papers/arxiv/2407.03094?include_resources=true | 200 | true | 85861 | Conformal Prediction for Causal Effects of Continuous Treatments | https://arxiv.org/abs/2407.03094 | [] | [] | [] | [] | [] |
2410.07163 | https://paperswithcode.co/api/v1/papers/arxiv/2410.07163?include_resources=true | 200 | true | 38187 | Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning | https://arxiv.org/abs/2410.07163v2 | [
{
"url": "https://github.com/optml-group/unlearn-simple",
"owner": "OPTML-Group",
"name": "Unlearn-Simple",
"stars": 37,
"is_official": true,
"source": "ai_extraction"
},
{
"url": "https://github.com/optml-group/unlearn-smooth",
"owner": "OPTML-Group",
"name": "Unlearn-Smooth... | [] | [] | [] | [] |
2505.23601 | https://paperswithcode.co/api/v1/papers/arxiv/2505.23601?include_resources=true | 200 | true | 72539 | EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language
Models for Endoscopy Analysis | https://arxiv.org/abs/2505.23601 | [
{
"url": "https://github.com/CUHK-AIM-Group/EndoBench",
"owner": "CUHK-AIM-Group",
"name": "EndoBench",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [
{
"url": "https://cuhk-aim-group.github.io/EndoBench.github.io/",
"is_official": true
}
] | [] | [] | [] |
2505.20010 | https://paperswithcode.co/api/v1/papers/arxiv/2505.20010?include_resources=true | 200 | true | 86186 | Data-Dependent Regret Bounds for Constrained MABs | https://arxiv.org/abs/2505.20010 | [] | [] | [] | [] | [] |
2505.23473 | https://paperswithcode.co/api/v1/papers/arxiv/2505.23473?include_resources=true | 200 | true | 50109 | EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions | https://arxiv.org/abs/2505.23473 | [] | [] | [] | [] | [] |
2509.15550 | https://paperswithcode.co/api/v1/papers/arxiv/2509.15550?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.24193 | https://paperswithcode.co/api/v1/papers/arxiv/2505.24193?include_resources=true | 200 | true | 86148 | Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback | https://arxiv.org/abs/2505.24193 | [] | [] | [] | [] | [] |
2510.16292 | https://paperswithcode.co/api/v1/papers/arxiv/2510.16292?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.14604 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14604?include_resources=true | 200 | true | 49198 | Let LLMs Break Free from Overthinking via Self-Braking Tuning | https://arxiv.org/abs/2505.14604v2 | [
{
"url": "https://github.com/zju-real/self-braking-tuning",
"owner": "zju-real",
"name": "self-braking-tuning",
"stars": 51,
"is_official": true,
"source": "links_json"
},
{
"url": "https://github.com/ccai-lab/self-braking-tuning",
"owner": "ccai-lab",
"name": "self-braking-t... | [
{
"url": "https://ZJU-REAL.github.io/SBT",
"is_official": true
}
] | [] | [] | [] |
2506.11994 | https://paperswithcode.co/api/v1/papers/arxiv/2506.11994?include_resources=true | 200 | true | 86392 | Spectral Estimation with Free Decompression | https://arxiv.org/abs/2506.11994 | [] | [] | [] | [] | [] |
2506.16690 | https://paperswithcode.co/api/v1/papers/arxiv/2506.16690?include_resources=true | 200 | true | 86762 | DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches | https://arxiv.org/abs/2506.16690 | [] | [] | [] | [] | [] |
2506.12790 | https://paperswithcode.co/api/v1/papers/arxiv/2506.12790?include_resources=true | 200 | true | 87041 | PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling | https://arxiv.org/abs/2506.12790 | [] | [] | [] | [] | [] |
2502.00180 | https://paperswithcode.co/api/v1/papers/arxiv/2502.00180?include_resources=true | 200 | true | 86986 | Spectral Analysis of Diffusion Models with Application to Schedule Design | https://arxiv.org/abs/2502.00180 | [] | [] | [] | [] | [] |
2510.19480 | https://paperswithcode.co/api/v1/papers/arxiv/2510.19480?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.09802 | https://paperswithcode.co/api/v1/papers/arxiv/2509.09802?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.02327 | https://paperswithcode.co/api/v1/papers/arxiv/2509.02327?include_resources=true | 200 | true | 85910 | Variational Uncertainty Decomposition for In-Context Learning | https://arxiv.org/abs/2509.02327 | [] | [] | [] | [] | [] |
2512.14230 | https://paperswithcode.co/api/v1/papers/arxiv/2512.14230?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2503.16965 | https://paperswithcode.co/api/v1/papers/arxiv/2503.16965?include_resources=true | 200 | true | 46529 | When Words Outperform Vision: VLMs Can Self-Improve Via Text-Only Training For Human-Centered Decision Making | https://arxiv.org/abs/2503.16965 | [
{
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"owner": "Derekkk",
"name": "Praxis-VLM",
"stars": 4,
"is_official": true,
"source": "ai_extraction"
}
] | [] | [] | [] | [] |
2511.04117 | https://paperswithcode.co/api/v1/papers/arxiv/2511.04117?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.19408 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19408?include_resources=true | 200 | true | 86719 | Future Link Prediction Without Memory or Aggregation | https://arxiv.org/abs/2505.19408 | [] | [] | [] | [] | [] |
2505.22866 | https://paperswithcode.co/api/v1/papers/arxiv/2505.22866?include_resources=true | 200 | true | 85770 | Scaling Offline RL via Efficient and Expressive Shortcut Models | https://arxiv.org/abs/2505.22866 | [] | [] | [] | [] | [] |
2506.09114 | https://paperswithcode.co/api/v1/papers/arxiv/2506.09114?include_resources=true | 200 | true | 72094 | TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval | https://arxiv.org/abs/2506.09114 | [] | [] | [] | [] | [] |
2510.11190 | https://paperswithcode.co/api/v1/papers/arxiv/2510.11190?include_resources=true | 200 | true | 66505 | FlexAC: Towards Flexible Control of Associative Reasoning in Multimodal
Large Language Models | https://arxiv.org/abs/2510.11190 | [
{
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"owner": "ylhz",
"name": "FlexAC",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2306.08586 | https://paperswithcode.co/api/v1/papers/arxiv/2306.08586?include_resources=true | 200 | true | 17423 | Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings | https://arxiv.org/abs/2306.08586v3 | [] | [] | [] | [] | [] |
2412.09199 | https://paperswithcode.co/api/v1/papers/arxiv/2412.09199?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2506.00794 | https://paperswithcode.co/api/v1/papers/arxiv/2506.00794?include_resources=true | 200 | true | 86087 | Predicting Empirical AI Research Outcomes with Language Models | https://arxiv.org/abs/2506.00794 | [] | [] | [] | [] | [] |
2502.05325 | https://paperswithcode.co/api/v1/papers/arxiv/2502.05325?include_resources=true | 200 | true | 86585 | From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks | https://arxiv.org/abs/2502.05325 | [] | [] | [] | [] | [] |
2505.18237 | https://paperswithcode.co/api/v1/papers/arxiv/2505.18237?include_resources=true | 200 | true | 49596 | Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens | https://arxiv.org/abs/2505.18237 | [
{
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"owner": "chicosirius",
"name": "think-or-not",
"stars": 15,
"is_official": true,
"source": "links_json"
}
] | [] | [] | [] | [] |
2504.13055 | https://paperswithcode.co/api/v1/papers/arxiv/2504.13055?include_resources=true | 200 | true | 47850 | NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation | https://arxiv.org/abs/2504.13055 | [
{
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"owner": "John-AI-Lab",
"name": "NoisyRollout",
"stars": 102,
"is_official": true,
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}
] | [] | [] | [] | [] |
2510.20661 | https://paperswithcode.co/api/v1/papers/arxiv/2510.20661?include_resources=true | 200 | true | 53892 | UltraHR-100K: Enhancing UHR Image Synthesis with A Large-Scale
High-Quality Dataset | https://arxiv.org/abs/2510.20661 | [
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] | [] | [] | [] | [] |
2505.12499 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12499?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.15448 | https://paperswithcode.co/api/v1/papers/arxiv/2509.15448?include_resources=true | 200 | true | 68174 | Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems | https://arxiv.org/abs/2509.15448 | [] | [] | [] | [] | [] |
2411.06780 | https://paperswithcode.co/api/v1/papers/arxiv/2411.06780?include_resources=true | 200 | true | 87476 | SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking | https://arxiv.org/abs/2411.06780 | [] | [] | [] | [] | [] |
2512.04310 | https://paperswithcode.co/api/v1/papers/arxiv/2512.04310?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2510.17440 | https://paperswithcode.co/api/v1/papers/arxiv/2510.17440?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.07184 | https://paperswithcode.co/api/v1/papers/arxiv/2505.07184?include_resources=true | 200 | true | 48621 | Structural Entropy Guided Agent for Detecting and Repairing Knowledge Deficiencies in LLMs | https://arxiv.org/abs/2505.07184 | [
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"owner": "weiyifan1023",
"name": "senator",
"stars": 63,
"is_official": true,
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}
] | [] | [] | [] | [] |
2505.21491 | https://paperswithcode.co/api/v1/papers/arxiv/2505.21491?include_resources=true | 200 | true | 49950 | Frame In-N-Out: Unbounded Controllable Image-to-Video Generation | https://arxiv.org/abs/2505.21491 | [
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"owner": "UVA-Computer-Vision-Lab",
"name": "FrameINO",
"stars": 28,
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] | [
{
"url": "https://uva-computer-vision-lab.github.io/Frame-In-N-Out/",
"is_official": true
}
] | [] | [] | [] |
2505.12053 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12053?include_resources=true | 200 | true | 73000 | VFRTok: Variable Frame Rates Video Tokenizer with Duration-Proportional
Information Assumption | https://arxiv.org/abs/2505.12053 | [
{
"url": "https://github.com/kwaivgi/vfrtok",
"owner": "KwaiVGI",
"name": "VFRTok",
"stars": 0,
"is_official": true,
"source": "hf_api"
}
] | [] | [] | [] | [] |
2505.19914 | https://paperswithcode.co/api/v1/papers/arxiv/2505.19914?include_resources=true | 200 | true | 49787 | Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles | https://arxiv.org/abs/2505.19914 | [
{
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"owner": "BytedTsinghua-SIA",
"name": "Enigmata",
"stars": 74,
"is_official": true,
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] | [
{
"url": "https://seed-enigmata.github.io/",
"is_official": true
}
] | [] | [] | [] |
2505.15101 | https://paperswithcode.co/api/v1/papers/arxiv/2505.15101?include_resources=true | 200 | true | 87466 | Cost-aware LLM-based Online Dataset Annotation | https://arxiv.org/abs/2505.15101 | [] | [] | [] | [] | [] |
2510.14049 | https://paperswithcode.co/api/v1/papers/arxiv/2510.14049?include_resources=true | 200 | true | 66349 | CausalVerse: Benchmarking Causal Representation Learning with
Configurable High-Fidelity Simulations | https://arxiv.org/abs/2510.14049 | [
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"owner": "CausalVerse",
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] | [
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2511.02276 | https://paperswithcode.co/api/v1/papers/arxiv/2511.02276?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2507.11932 | https://paperswithcode.co/api/v1/papers/arxiv/2507.11932?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.14817 | https://paperswithcode.co/api/v1/papers/arxiv/2505.14817?include_resources=true | 200 | true | 86542 | Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles | https://arxiv.org/abs/2505.14817 | [
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"name": "dibs_bargaining",
"stars": 1,
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] | [] | [] | [] | [] |
2406.14026 | https://paperswithcode.co/api/v1/papers/arxiv/2406.14026?include_resources=true | 200 | true | 87350 | Demystifying Language Model Forgetting with Low-rank Example Associations | https://arxiv.org/abs/2406.14026 | [] | [] | [] | [] | [] |
2510.21111 | https://paperswithcode.co/api/v1/papers/arxiv/2510.21111?include_resources=true | 200 | true | 53833 | PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language
Models in Physical Environments | https://arxiv.org/abs/2510.21111 | [] | [] | [] | [] | [] |
2506.04614 | https://paperswithcode.co/api/v1/papers/arxiv/2506.04614?include_resources=true | 200 | true | 50595 | Look Before You Leap: A GUI-Critic-R1 Model for Pre-Operative Error Diagnosis in GUI Automation | https://arxiv.org/abs/2506.04614 | [
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"name": "MobileAgent",
"stars": 6770,
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] | [] | [] | [] | [] |
2505.09572 | https://paperswithcode.co/api/v1/papers/arxiv/2505.09572?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.07782 | https://paperswithcode.co/api/v1/papers/arxiv/2505.07782?include_resources=true | 200 | true | 48652 | MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering | https://arxiv.org/abs/2505.07782 | [
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"owner": "MLE-Dojo",
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2502.09863 | https://paperswithcode.co/api/v1/papers/arxiv/2502.09863?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2509.15328 | https://paperswithcode.co/api/v1/papers/arxiv/2509.15328?include_resources=true | 200 | true | 87336 | Kuramoto Orientation Diffusion Models | https://arxiv.org/abs/2509.15328 | [] | [] | [] | [] | [] |
2509.16690 | https://paperswithcode.co/api/v1/papers/arxiv/2509.16690?include_resources=true | 200 | true | 85728 | Spectral Compressive Imaging via Chromaticity-Intensity Decomposition | https://arxiv.org/abs/2509.16690 | [] | [] | [] | [] | [] |
2503.10392 | https://paperswithcode.co/api/v1/papers/arxiv/2503.10392?include_resources=true | 200 | true | 46045 | RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing | https://arxiv.org/abs/2503.10392 | [
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"owner": "MiliLab",
"name": "RoMA",
"stars": 122,
"is_official": true,
"source": "links_json"
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] | [] | [] | [] | [] |
2509.22813 | https://paperswithcode.co/api/v1/papers/arxiv/2509.22813?include_resources=true | 200 | true | 87244 | TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses | https://arxiv.org/abs/2509.22813 | [] | [] | [] | [] | [] |
2510.13688 | https://paperswithcode.co/api/v1/papers/arxiv/2510.13688?include_resources=true | 200 | true | 86655 | Jacobian-Based Interpretation of Nonlinear Neural Encoding Model | https://arxiv.org/abs/2510.13688 | [
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"name": "jne",
"stars": 2,
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] | [] | [] | [] | [] |
2509.23829 | https://paperswithcode.co/api/v1/papers/arxiv/2509.23829?include_resources=true | 200 | true | 86410 | DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation | https://arxiv.org/abs/2509.23829 | [] | [] | [] | [] | [] |
2510.18546 | https://paperswithcode.co/api/v1/papers/arxiv/2510.18546?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.12434 | https://paperswithcode.co/api/v1/papers/arxiv/2505.12434?include_resources=true | 200 | true | 72989 | VideoRFT: Incentivizing Video Reasoning Capability in MLLMs via
Reinforced Fine-Tuning | https://arxiv.org/abs/2505.12434 | [
{
"url": "https://github.com/qiwang98/videorft",
"owner": "qiwang98",
"name": "videorft",
"stars": 0,
"is_official": true,
"source": "hf_api"
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] | [] | [] | [] | [] |
2510.16865 | https://paperswithcode.co/api/v1/papers/arxiv/2510.16865?include_resources=true | 404 | false | null | null | null | null | null | null | null | null |
2505.13043 | https://paperswithcode.co/api/v1/papers/arxiv/2505.13043?include_resources=true | 200 | true | 85750 | A Generalized Label Shift Perspective for Cross-Domain Gaze Estimation | https://arxiv.org/abs/2505.13043 | [] | [] | [] | [] | [] |
2507.05255 | https://paperswithcode.co/api/v1/papers/arxiv/2507.05255?include_resources=true | 200 | true | 51726 | Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual Reasoning | https://arxiv.org/abs/2507.05255 | [
{
"url": "https://github.com/open-reasoner-zero/open-vision-reasoner",
"owner": "Open-Reasoner-Zero",
"name": "Open-Vision-Reasoner",
"stars": 152,
"is_official": true,
"source": "ai_extraction"
}
] | [
{
"url": "https://weiyana.github.io/Open-Vision-Reasoner/",
"is_official": true
}
] | [] | [] | [] |
2510.04417 | https://paperswithcode.co/api/v1/papers/arxiv/2510.04417?include_resources=true | 200 | true | 85997 | Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions | https://arxiv.org/abs/2510.04417 | [] | [] | [] | [] | [] |
2509.16527 | https://paperswithcode.co/api/v1/papers/arxiv/2509.16527?include_resources=true | 200 | true | 68095 | Lattice Boltzmann Model for Learning Real-World Pixel Dynamicity | https://arxiv.org/abs/2509.16527 | [] | [] | [] | [] | [] |
2506.20671 | https://paperswithcode.co/api/v1/papers/arxiv/2506.20671?include_resources=true | 200 | true | 86174 | IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals | https://arxiv.org/abs/2506.20671 | [] | [] | [] | [] | [] |
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