{
 "date": "2026-11-14",
 "max_points": {
  "code": 8,
  "stars": 16,
  "stars_gain": 10,
  "artifacts": 6,
  "upvotes": 20,
  "hn": 10,
  "h_index": 10,
  "lab": 5,
  "claims": 10,
  "novelty": 5
 },
 "papers": [
  {
   "rank": 1,
   "id": "2611.12527",
   "title": "WaveGen: Truly End-to-End Waveform Generation via Internal Spectral Trajectory Learning",
   "score": 62,
   "pts_code": 8,
   "pts_stars": 11.7,
   "pts_stars_gain": 3.5,
   "pts_artifacts": 4,
   "pts_upvotes": 12.5,
   "pts_hn": 0,
   "pts_h_index": 7.4,
   "pts_lab": 2.5,
   "pts_claims": 8,
   "pts_novelty": 4.0,
   "stars": 56,
   "stars_gain": 4,
   "upvotes": 17,
   "hn_points": 0,
   "h_index": 12.0,
   "claims": 2,
   "novelty": 0.893,
   "estimated": ""
  },
  {
   "rank": 1,
   "id": "2611.15777",
   "title": "SO-Arena: Benchmarking the Capability Spectrum and Reliability of System One Models",
   "score": 32,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 18.7,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 74,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 2,
   "id": "2611.13004",
   "title": "G-STAR: Group-Scaled Token Capacity for Deeply Compressed Autoregressive Generation",
   "score": 29,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 16.1,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 40,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 3,
   "id": "2611.14320",
   "title": "Don't Just Trust Your Memory: Evidence-Linked Memory Reduces Memory-Induced Degradation in LLM Agents",
   "score": 54,
   "pts_code": 8,
   "pts_stars": 8.6,
   "pts_stars_gain": 3.5,
   "pts_artifacts": 0,
   "pts_upvotes": 18.1,
   "pts_hn": 0,
   "pts_h_index": 6.2,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 4.7,
   "stars": 19,
   "stars_gain": 4,
   "upvotes": 65,
   "hn_points": 0,
   "h_index": 7.5,
   "claims": null,
   "novelty": 0.908,
   "estimated": ""
  },
  {
   "rank": 3,
   "id": "2611.15131",
   "title": "Duo: A Reciprocal World Model for Full-Duplex Interaction",
   "score": 29,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 15.6,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 36,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 4,
   "id": "2611.17167",
   "title": "Actor, Judge, or Teacher? Understanding Decision Models in Long-Horizon Agents",
   "score": 28,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 14.7,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 29,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 5,
   "id": "2611.16748",
   "title": "PhysLoop: Harnessing LLMs' Physics Awareness for Self-Improving Video Generation Models",
   "score": 27,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 16.3,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 2.5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 42,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 6,
   "id": "2611.17331",
   "title": "TTB: Test-time Baking for Efficient Rendering of Decoder-only View Synthesis Models",
   "score": 26,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 13.0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 19,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 7,
   "id": "2611.15844",
   "title": "Open Vision Banana: A Fully Open Recipe for Generative Visual Perception",
   "score": 25,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 14.7,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 2.5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 29,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 8,
   "id": "2611.05984",
   "title": "On the Design of Hyper-Connections: Simplification, Stability, and Scalability",
   "score": 25,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 14.3,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 2.5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 26,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 9,
   "id": "2611.17060",
   "title": "Ropedia Xperience 2: A Gold Standard for Scaling Physical AI Environments and Behaviors",
   "score": 25,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 14.1,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 2.5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 25,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 10,
   "id": "2611.13410",
   "title": "SteerDistill: Quantizing LLM Agents via Closed-Loop Teacher Steering",
   "score": 24,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 15.5,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 35,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 11,
   "id": "2608.22237",
   "title": "Read Less, Solve More: Token-Efficient Sparse Reading of External Content for AI Agents",
   "score": 24,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 13.4,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 2.5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 21,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 12,
   "id": "2611.08286",
   "title": "Interactive Visual Gym: Evaluating Visual Interaction Models with Simulated Users in Interactive Worlds",
   "score": 24,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 11.4,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 13,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 13,
   "id": "2611.12304",
   "title": "Evolving Infra: Agent-Adaptive LLM Serving at Scale",
   "score": 24,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 11.1,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 12,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 14,
   "id": "2611.16905",
   "title": "Factored One-sided Adam-Moment for Practical and Scalable SOAP",
   "score": 24,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 11.1,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 12,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 15,
   "id": "2611.14815",
   "title": "BirdDreams: Joint Perspective and BEV Video Generation for a Plausible, Reactive Driving World Model",
   "score": 22,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 16.7,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 46,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 16,
   "id": "2610.40394",
   "title": "Scaling Mathematical Proof Supervision from Structured Textbooks",
   "score": 22,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 16.5,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 44,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 17,
   "id": "2611.16217",
   "title": "WorldDraft: If Code Builds the World, Can Video Models Just Render It?",
   "score": 20,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 11.7,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 14,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 18,
   "id": "2611.12869",
   "title": "Where Does Alignment Emerge and What Does It Mean? A Closer Look at the Platonic Representation Hypothesis",
   "score": 19,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 8.4,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 2.5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 6,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 19,
   "id": "2611.13766",
   "title": "FAME-QP: A GPU-Accelerated Quadratic-Programming Solver for Real-Time Model Predictive Control",
   "score": 19,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 8.4,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 2.5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 6,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 20,
   "id": "2611.08219",
   "title": "Agent-R^2: Scaling Agents for Realistic Productivity Work via Real-Source Data Synthesis",
   "score": 19,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 6.0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 3,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 21,
   "id": "2611.12872",
   "title": "HiVe-Mem: Interleaving Horizontal Memory Expansion and Vertical Evidence Composition for Multimodal Agents",
   "score": 19,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 6.0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 3,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 22,
   "id": "2611.17190",
   "title": "Consensus Capture in Reference-Based UAV Video Stabilization: A Benchmark on Dynamic Urban Scenes",
   "score": 19,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 6.0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 3,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 23,
   "id": "2611.09567",
   "title": "TurtLES: A Large-Scale Benchmark for Turbulent 3D Neural PDE Surrogates",
   "score": 18,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 7.0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 2.5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 4,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 24,
   "id": "2611.16409",
   "title": "Experience-Handoff Reinforcement Learning for Recursive Self-Improvement",
   "score": 18,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 4.8,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 2,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 25,
   "id": "2611.16517",
   "title": "UniSpark: Exploring Hybrid Attention for Multimodal Understanding and Generation",
   "score": 16,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 11.1,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 12,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 26,
   "id": "2611.16728",
   "title": "EgoX: Egocentric Cross-Embodiment Manipulation with Embodiment Dreaming",
   "score": 16,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 3.0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 1,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 27,
   "id": "2611.17334",
   "title": "Unbundling Multimodal Vision Encoding",
   "score": 15,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 10.0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 9,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 28,
   "id": "2607.24999",
   "title": "CogBattery: Human-Referenced Evaluation of Cognitive Task Behavior and Structure in Language Models",
   "score": 15,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 7.0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 4,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 29,
   "id": "2611.12750",
   "title": "The Narrative Gap: Can LLMs Help Us Navigate Diverse Narratives Across Languages?",
   "score": 15,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 4.8,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 2.5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 2,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 30,
   "id": "2611.00428",
   "title": "Do Multimodal Models Decide Consistently on Equivalent Optical Spectra?",
   "score": 14,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 6.0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 3,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 31,
   "id": "2611.05862",
   "title": "CARTBench: Rubric-Based Evaluation of Shopping Advice for Complex and Ambiguous Requests with Timelines",
   "score": 14,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 6.0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 3,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 32,
   "id": "2611.08379",
   "title": "Module-Aware Optimization for Graph Neural Networks",
   "score": 14,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 6.0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 3,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 33,
   "id": "2611.11531",
   "title": "Probing Transformer Representations Layer by Layer, Module by Module",
   "score": 14,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 6.0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 3,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 34,
   "id": "2611.16009",
   "title": "JustRUA: A Controlled Study of GPT-6 Robot-Use Agents",
   "score": 14,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 6.0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 3,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 35,
   "id": "2611.15094",
   "title": "A frontier machine intelligence for human neuroimaging",
   "score": 14,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 3.0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 2.5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 1,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 36,
   "id": "2611.00359",
   "title": "Humanized but Still True? Auditing Facts and Detection in AI-Text Humanizers",
   "score": 13,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 4.8,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 2,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 37,
   "id": "2611.11306",
   "title": "ScrapeBench: Evaluating Legal Compliance of AI Agents in Website Scraping",
   "score": 13,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 4.8,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 2,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 38,
   "id": "2611.16321",
   "title": "From Large Language Models to Efficient System One Models via Adaptive Computation",
   "score": 13,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 4.8,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 2,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 39,
   "id": "2611.16961",
   "title": "The Value of Thinking: Learning When to Reason in Hybrid Decision Models",
   "score": 13,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 4.8,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 2,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 40,
   "id": "2611.14076",
   "title": "ZoomGain: Mining Global-to-Zoom Perception Gaps for Fine-Grained Visual Supervision",
   "score": 13,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 41,
   "id": "2611.08318",
   "title": "Learning the Task or Learning the Verifier? Rethinking Criteria Exposure in Embodied Self-Improvement",
   "score": 12,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 9.0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 2.5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 7,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 42,
   "id": "2611.13758",
   "title": "Mixed Signals: Weight-Space Programming for EEG and ECG",
   "score": 11,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 6.0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 3,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 43,
   "id": "2611.14256",
   "title": "A Cross-Scenario Survey and Analysis of Self-Evolving Multimodal Agents",
   "score": 11,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 3.0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 1,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 44,
   "id": "2611.08538",
   "title": "Subliminal Learning in Vision-Language Models",
   "score": 10,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 7.8,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 2.5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 5,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 45,
   "id": "2607.13920",
   "title": "DeepStress: Stress-Testing Deep Search Agents",
   "score": 10,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 7.0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 2.5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 4,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 46,
   "id": "2611.13453",
   "title": "Camera3R: Feed-Forward 3D Reconstruction from Heterogeneous Camera Models",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 47,
   "id": "2611.13509",
   "title": "Mobile AI Factory: Building Specialized Language Models for Your Mobile Device",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 48,
   "id": "2611.13511",
   "title": "TMAL: Topology-preserving Multi-offset Affinity Learning for Curvilinear Structure Segmentation",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 49,
   "id": "2611.13514",
   "title": "Seeing the Small: Deformable Duality Mamba for Retinal Lesion Segmentation",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 50,
   "id": "2611.13647",
   "title": "CP-MLPs: A Tensor-Rank Theory of Tied and Untied MLP Blocks",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 51,
   "id": "2611.13675",
   "title": "OpticalRAG: Pixel-Space Compression for Token-Efficient Retrieval-Augmented Generation",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 52,
   "id": "2611.13710",
   "title": "AutoManifold: Agentic Design of Data Visualisation Algorithms via Manifold Embedding",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 53,
   "id": "2611.13730",
   "title": "Deterministic, Reproducible Inference in Exact Integer Arithmetic, and Verifiable Distributed Inference as Its Consequence",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 54,
   "id": "2611.13776",
   "title": "DisasterAgent: An Evidence-Driven Agent for Verifiable Disaster Report Generation From Remote Sensing Imagery",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 55,
   "id": "2611.13801",
   "title": "Bridging Graph and Pairwise Learning for Gene Regulatory Network Inference from scRNA-seq Data",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 56,
   "id": "2611.13851",
   "title": "Towards Text-Only Remote Sensing Scene Classification via Semantic Proxy",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 57,
   "id": "2611.13884",
   "title": "Region-Wise Logit Fusion and Utility-Gated Refinement for Brain Metastasis Segmentation",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 58,
   "id": "2611.13907",
   "title": "EVAThink: Evidence Sufficiency-Guided Training for Adaptive Thinking in Video Understanding",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 59,
   "id": "2611.13912",
   "title": "MicroBT: Centroid-Guided Synergistic Learning for Multi-Modal Micro Brain Tumor Segmentation and Counting",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 60,
   "id": "2611.13975",
   "title": "Understanding Mixture-of-Experts Language Models Beyond Expert Boundaries",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 61,
   "id": "2611.13997",
   "title": "Specify Privacy Yourself: Assessing Inference-Time Personalized Privacy Preservation Ability of Large Vision-Language Models",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 62,
   "id": "2611.14004",
   "title": "LUMIR: Decoupled Multimodal Representation Learning from Heterogeneous Data for Next-POI Recommendation",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 63,
   "id": "2611.14025",
   "title": "HiPFuse: Real-Time LiDAR Semantic Segmentation for Robotic Perception on Edge Devices",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 64,
   "id": "2611.14083",
   "title": "Sable: A Small-Field Sumcheck Argument for Bit-Exact Inference of Large Language Models",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 65,
   "id": "2611.14126",
   "title": "Hierarchical Graph Representation Learning with Pooling-Induced Substructures",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 66,
   "id": "2611.14135",
   "title": "Sim(3)-TurboReg: Robust and Efficient Scale-Aware Registration via Tri-Scale Consistency",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 67,
   "id": "2611.14136",
   "title": "HaiRuo: Forecasting Ocean Eddies as Fields and Objects with a Satellite-Altimetry Foundation Model",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 68,
   "id": "2611.14254",
   "title": "Location Matters: Sparse Latent-Variance Attacks for Face Privacy against Diffusion Personalization",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 69,
   "id": "2611.14281",
   "title": "UniFlow-RS: Unified Generative Prediction for Heterogeneous Remote-Sensing Tasks",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 70,
   "id": "2611.14307",
   "title": "TaoMate-R1: Temporal Role Specialization for Streaming Multi-Reference Video Generation",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 71,
   "id": "2611.14311",
   "title": "Multimodal Abstention That Preserves Acquired Correct Answers",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 73,
   "id": "2611.14328",
   "title": "Forward-Value Discretization: Faster Stochastic Diffusion Sampling Without High-Order Approximation",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 74,
   "id": "2611.14365",
   "title": "From Video Frames to Robot Meta-Frames: A Unified Latent Interface for World Action Models",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 75,
   "id": "2611.14399",
   "title": "REAL Loss: Optimizing Real Expected Acceptance Length for Speculative Decoding",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 76,
   "id": "2611.14496",
   "title": "RS-JEPA: Remote Sensing Joint-Embedding Predictive Architecture with Scan-Path Views for Cross-Sensor Image Retrieval",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 77,
   "id": "2611.14516",
   "title": "TorchCurves: Differentiable Parametric Curves",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 78,
   "id": "2611.14659",
   "title": "Closing the Loop: Co-Evolving EM for Irregular Time Series Generation in Lifted Representations",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 79,
   "id": "2611.14665",
   "title": "Galop: Billion-Scale Genetic Programming on a Single GPU",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 80,
   "id": "2611.14677",
   "title": "Fast Slice-Wise Deep Learning Motion Correction for Spinal Cord Functional MRI",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 81,
   "id": "2611.14704",
   "title": "Code as Explanations: Executable and Verifiable LLM Explanations",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 82,
   "id": "2611.14763",
   "title": "RECALL: Real-Time Recalibration of Multi-Camera Rigs via Learned OEM-Anchored Residuals",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 83,
   "id": "2611.14969",
   "title": "Scaling VLA Serving Under Robotic Execution Constraints",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 84,
   "id": "2611.15112",
   "title": "Elastra: A Simulation Framework for Elastic Bodies",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 85,
   "id": "2611.15130",
   "title": "Read Once, Answer Many: Parallel Prompting for Shared-Context LLM Inference",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 86,
   "id": "2611.15135",
   "title": "ARTS: An Open-Source, Reproducible Three-Arm Platform for Autonomy Research in Minimally Invasive Surgery",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 87,
   "id": "2611.15178",
   "title": "HyperSkill: Training-Free Omnimodal GRPO via Hypergraph-Indexed Skill-Library Evolution",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 88,
   "id": "2611.15184",
   "title": "GingivitisSeg: A Public Dataset and Comparative Benchmark for Gingivitis Segmentation in Intraoral Images",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 89,
   "id": "2611.15223",
   "title": "guardscope: Measuring Which Actions Runtime Controls Check in LLM Agent Systems",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 90,
   "id": "2611.15315",
   "title": "MIGRO: A Decoupled and Portable Long-Term Memory System for Language Models",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 91,
   "id": "2611.15317",
   "title": "BiPOP: Partial-Order Planning for Long-Horizon Bimanual Robotic Manipulation",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 92,
   "id": "2611.15325",
   "title": "CaseScope: A Multi-Field Benchmark for Case-Level Pathology Diagnosis with Multimodal LLMs",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 93,
   "id": "2611.15328",
   "title": "Vision-Grounded Semantic Learning and Alignment for Scalable Multilingual Text-Based Person Retrieval",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 94,
   "id": "2611.15378",
   "title": "A Modified Glicko Model for Rating Soccer Clubs and National Teams Worldwide",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 95,
   "id": "2611.15426",
   "title": "SimRec: Learning to Search, Ask, and Recommend from Simulated Interaction",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 96,
   "id": "2611.15440",
   "title": "TopoST: Topology-Conditioned Node Specialization for Urban Spatio-Temporal Foundation Models",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 97,
   "id": "2611.15463",
   "title": "Right Answers, Inconsistent Evidence: Source-Level Counterfactual Auditing of Large Audio-Language Models",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 98,
   "id": "2611.15467",
   "title": "AutoOntic: Automatic Ontology Induction from Text for Knowledge Graph Construction",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 99,
   "id": "2611.15479",
   "title": "DETER: Suppression During Pretraining for Tamper Resistance",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 100,
   "id": "2611.15529",
   "title": "One Hierarchy, Many Sports: Hierarchy-Aligned Multi-Task Learning for Next-Shot Prediction",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 101,
   "id": "2611.15569",
   "title": "TraceKV: Policy-Preserving Low-Rank KV Cache Compression for Reasoning Vision-Language Models",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 102,
   "id": "2611.15614",
   "title": "Learning-Based Interpolation of Detector Gaps in Photon-Counting X-ray Imaging",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 103,
   "id": "2611.15689",
   "title": "What World Model Does Active Object Search Need? A Study under Imperfect Detection",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 104,
   "id": "2611.15809",
   "title": "Fine-Grained Generative Hallucination Detection and Correction for Aerial Image Captioning",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 105,
   "id": "2611.15983",
   "title": "TRACE: Trajectory Synchronization for Training-Free Resolution Extension in Video Generation",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 106,
   "id": "2611.16000",
   "title": "Predicting the Needle in a Petabyte Scale Haystack: Open-Vocabulary Event Anticipation in Satellite Imagery",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 107,
   "id": "2611.16184",
   "title": "Flow-CAD: Flow Matching for Contextual Anomaly Detection and Explanation in Tabular Data",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 108,
   "id": "2611.16205",
   "title": "QVS-LIVO RiskMap: Health- and Information-Aware View Selection for Multi-Camera LIVO and Off-Road Risk Mapping",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 109,
   "id": "2611.16206",
   "title": "Turning Multi-Agent Communication into Token-Level Credit with On Policy Self Distillation",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 110,
   "id": "2611.16223",
   "title": "We Are What We Remember: Mental-State-Driven Memory for Long-Term Character Dialogue",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 111,
   "id": "2611.16257",
   "title": "Few-Shot Cross-Subject Neural--Image Retrieval via Stimulus-Anchored Latent Bias Calibration",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 112,
   "id": "2611.16369",
   "title": "Bait: Mitigating Harmful Agentic Reinforcement Learning via Probing Reward Function",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 113,
   "id": "2611.16384",
   "title": "Beyond Compressing Everything: Contrastive Memory Learning for Selective Context Compression",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 114,
   "id": "2611.16402",
   "title": "Teach with Blinks: Breaking Linguistic Momentum in On-Policy Distillation for Fine-Grained Multimodal Perception",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 115,
   "id": "2611.16408",
   "title": "Gravity and Flight: Learning to Navigate Fine-Grained Remote Sensing Scenes",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 116,
   "id": "2611.16413",
   "title": "RICapBench: A Fine-Grained Visual Understanding Benchmark Dataset for Vision-Language Models in Remote Sensing",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 117,
   "id": "2611.16422",
   "title": "BlinkMimic: Training a Humanoid Motion Tracker in Minutes on a Single GPU",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 118,
   "id": "2611.16502",
   "title": "SignRot: LLM Quantization with Massive Outlier-Aware Sign-Adjusted Rotation",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 119,
   "id": "2611.16524",
   "title": "A Joint LLM and Optimization Agent Solution for Drone Scheduling in Victim Search Missions",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 120,
   "id": "2611.16574",
   "title": "HALight: Heterogeneous Multi-Agent Reinforcement Learning for Traffic Signal Control under Lane-Level Missing Observations",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 121,
   "id": "2611.16590",
   "title": "AstroMemBench: A Benchmark for Memory Systems in Embodied Spacecraft Agents",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 122,
   "id": "2611.16671",
   "title": "NSDL: Neuro-Symbolic Division of Labor for Multi-Robot Task Planning",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 123,
   "id": "2611.16749",
   "title": "ORCA:Orthogonal Residual Consensus Alignment for Multi-View Clustering",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 124,
   "id": "2611.16821",
   "title": "Calibration and Conformal Prediction for Medical Question Answering in Arabic and English: Evidence from Two Non-Parallel Benchmarks",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 125,
   "id": "2611.16913",
   "title": "CADET: Construction of PCB Routing Instances with Executable Demonstrations",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 126,
   "id": "2611.17068",
   "title": "Discovering Effective Agent Memory Designs through Program Evolution",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 127,
   "id": "2611.17077",
   "title": "SALT: State-Aligned Low-Rank Transfer for Single-Temporal Cross-Dataset Structural Localization in Remote Sensing",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 128,
   "id": "2611.17116",
   "title": "Bellman Contraction under MMD: A Unified Framework",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 129,
   "id": "2611.17146",
   "title": "HiVE-VQA: Hierarchical Interaction via Volumetric Embedding for Video Quality Assessment",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 130,
   "id": "2611.17191",
   "title": "Maximizing Capacity Utilization of LoRA Adapters for Mitigating the Learning-Forgetting Trade-off",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 131,
   "id": "2611.17302",
   "title": "FLEX-LBP: Learning Local Binary Patterns with Exact Binary Inference for Texture Classification",
   "score": 8,
   "pts_code": 8,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 132,
   "id": "2611.14418",
   "title": "Precision on Demand: Escalating Weight Bits at Uncertain Decoding Steps in a Small Local Model",
   "score": 7,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 7.0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 4,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 133,
   "id": "2611.14046",
   "title": "Structured Confidence Perturbation via Fisher Geometry for Adversarial Training",
   "score": 7,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 4.8,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 2.5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 2,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 134,
   "id": "2611.17336",
   "title": "Back to Pixels: Lifting Latent Video Diffusion into Pixel Space",
   "score": 7,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 4.8,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 2.5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 2,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 135,
   "id": "2610.41453",
   "title": "Evidence-Guided Recovery for AI Agents with Ambiguous Tool Outcomes and Partial Execution",
   "score": 6,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 6.0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 3,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 136,
   "id": "2611.13843",
   "title": "PolyRoute: A Twelve-Language and Code-Mixed Benchmark for Typed-Decision Routing, with Baselines and a Leaderboard",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 4.8,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 2,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 137,
   "id": "2611.14413",
   "title": "Bits or permutations? Spending a fixed inference budget on weight precision or on option-order averaging in small local language models",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 4.8,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 0,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 2,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 138,
   "id": "2611.13548",
   "title": "Massive Activations Confound Sparse Autoencoders",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 139,
   "id": "2611.13596",
   "title": "Towards Reliable VLM Judges: State-Conditional Invariance and Presentation-Aware Diagnostics",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 140,
   "id": "2611.13607",
   "title": "One Byte, One Token: Byteifying a 27B Hybrid-Attention LLM with Self-Generated Data",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 141,
   "id": "2611.13810",
   "title": "Camera equalisation of an 11.5x drop in environmental illuminance: four imitation-learning policies on an SO-101 arm",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 142,
   "id": "2611.13811",
   "title": "Antalia-2 Mini: A 7.6-million-parameter Turkish text-to-speech model trained entirely on synthetic speech",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 143,
   "id": "2611.13845",
   "title": "Alania-2: Turkish text-to-speech with instant and fine-tuned voice cloning",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 144,
   "id": "2611.13994",
   "title": "BioXArena-Pro: a research-grade benchmark for autonomous biomedical machine learning agents",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 145,
   "id": "2611.14116",
   "title": "Visual Similarity in Adult Word Extension and Artificial Word Learning",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 146,
   "id": "2611.14421",
   "title": "Earlybird: Predictive Streaming Speech Recognition in 29M Parameters",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 147,
   "id": "2611.14432",
   "title": "One Policy for 100 Household Tasks: Our Solution for the 2026 BEHAVIOR Challenge",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 148,
   "id": "2611.15433",
   "title": "Verifier Choice is a Benchmark Design Variable: Auditing Structural Counting Evaluation in Text-to-Image Models",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 149,
   "id": "2611.15572",
   "title": "Learning a calibrated decision head from logged bandit feedback",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 150,
   "id": "2611.15804",
   "title": "Computational Explanations of Semantic Universals",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 151,
   "id": "2611.16116",
   "title": "Robo-SWE: An Executable Issue-Resolution Dataset Mined from Robot Software Repositories",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 152,
   "id": "2611.16399",
   "title": "Saidzoda-Kazakh-EmbeddingGemma-300M: How Far One Epoch of Generated Questions Takes a Small Kazakh Embedder",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 153,
   "id": "2611.16525",
   "title": "ZONOS3-Mini Technical Report",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 154,
   "id": "2611.16586",
   "title": "Large Language Models as Digital Twins: a Distribution-Aware Questionnaire-Based Evaluation",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 155,
   "id": "2611.16714",
   "title": "Towards Green Text Generation: Memory-Based Speculative Decoding",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 156,
   "id": "2611.16895",
   "title": "Human or Synthetic? What a Fixed Budget Buys for Post-Training",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 157,
   "id": "2611.16919",
   "title": "Beyond Word Error Rate: A Failure Taxonomy of Streaming Dictation ASR",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 158,
   "id": "2611.16933",
   "title": "Kezek: Splitting Mono Two-Person Conversations into Per-Speaker Tracks for Full-Duplex Dialogue Data",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 159,
   "id": "2611.16956",
   "title": "Lara Mini Base: Language Diversity as a Resource, Not a Trade-off",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  },
  {
   "rank": 160,
   "id": "2611.17152",
   "title": "AeroZoo: A Benchmark of Well-Posed Flow Problems for Foundation Models of Aerodynamics",
   "score": 5,
   "pts_code": 0,
   "pts_stars": 0,
   "pts_stars_gain": 0,
   "pts_artifacts": 0,
   "pts_upvotes": 0,
   "pts_hn": 0,
   "pts_h_index": 0,
   "pts_lab": 5,
   "pts_claims": 0,
   "pts_novelty": 0,
   "stars": null,
   "stars_gain": null,
   "upvotes": 0,
   "hn_points": null,
   "h_index": null,
   "claims": null,
   "novelty": null,
   "estimated": ""
  }
 ]
}