<?xml version="1.0" encoding="UTF-8"?>
<urlset
  xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"
  xmlns:news="http://www.google.com/schemas/sitemap-news/0.9">
  <url>
    <loc>https://hackobar.com/item/arxiv-a-low-cost-open-platform-for-end-to-end-autonomous-driving-o-ccfc</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>Low-Cost Open Platform for End-to-End Autonomous Driving Research</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-voxprivacy-a-benchmark-for-evaluating-interactional-privacy--43e6</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>VoxPrivacy Benchmark for Speech Language Model Interactional Privacy</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-can-llms-extract-architectural-design-decisions-from-source--8f94</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>LLMs Extract Architectural Design Decisions From Source Code Commits</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-investigating-the-ability-of-large-language-models-to-analyz-7de0</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>LLM Accuracy in Diabetes-Friendly Recipe Analysis Benchmark</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-temperature-scaling-attack-disrupting-model-confidence-in-fe-0cf3</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>Temperature Scaling Attack Disrupts Federated Learning Model Confidence</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-differentiable-interval-bottlenecks-for-interpretable-anomal-e558</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>DIFFINT Autoencoder for Interpretable Numerical Anomaly Detection</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-sionna-rt-technical-report-2b8b</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>Sionna RT Differentiable Ray Tracer for Radio Propagation Simulation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-beyond-decodability-reconstructing-language-model-representa-8db5</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>Encoding Probe Reconstructs Language Model Representations via Interpretable Features</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-random-attention-rethinking-kv-cache-eviction-for-efficient--1eda</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>Random Attention Increases KV Cache Throughput by up to 43%</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-my-honest-experience-with-astra-6f5b</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-06</news:publication_date>
      <news:title>User Workflow for Astra Ultra and Max in Repository Audits</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-ldc-learning-to-generate-research-idea-with-dynamic-control-6611</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>LDC Framework for Controllable Research Idea Generation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-short-window-sliding-learning-for-real-time-violence-detecti-a924</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>Real-Time Violence Detection via Short-Window Sliding Learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-paperscout-an-autonomous-agent-for-academic-paper-search-wit-62bb</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>PaperScout Agent using Sequence-Level Policy Optimization for Research</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-accountable-ai-with-grounded-faithful-consistent-actionable--3411</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>VERDICT Agent for Accountable Clinical Trial Matching</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-grammar-aligned-decoding-9d94</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>Grammar-Aligned Decoding via Adaptive Sampling for Structured Outputs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-mathkernel-an-evidence-aware-multi-engine-mathematics-kernel-f97d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-07</news:publication_date>
      <news:title>MathKernel Python Library and MCP Server for Evidence-Aware Math</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-adapting-to-evolving-requirements-agentic-ai-for-retail-supp-e1d1</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>Agentic AI for Adaptive Retail Supply Chain Operations</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-llm-evaluation-as-tensor-completion-low-rank-structure-and-s-2139</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>LLM Evaluation as a Low-Rank Tensor Completion Problem</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-recast-expanding-the-boundaries-of-llms-complex-instruction--f522</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>RECAST: Scaling Complex Instruction Following Beyond 10 Constraints</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-easysteer-a-unified-framework-for-high-performance-and-exten-0be1</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>EasySteer: High-Performance LLM Steering via vLLM Integration</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-realswe-a-compositional-evaluation-of-coding-agents-under-re-3c16</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-31</news:publication_date>
      <news:title>RealSWE: Exposing the Gap in Coding Agent Benchmarks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-terminal-universe-turning-agent-trajectories-into-scalable-t-547a</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-03</news:publication_date>
      <news:title>Terminal-Universe: Reconstructing Environments from Agent Trajectories</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-principia-relational-physics-tests-for-video-models-c76c</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-03</news:publication_date>
      <news:title>Principia: Relational Physics Benchmark for Video Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-editable-visual-design-849a</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-03</news:publication_date>
      <news:title>Editable Visual Design: Coding Agent Paradigm for Layered Assets</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-core-improving-compositional-reasoning-in-mllm-embedding-via-5a9a</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-03</news:publication_date>
      <news:title>CORE: Distilling Compositional Reasoning into MLLM Embeddings</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-latentpress-context-compression-beyond-text-and-vision-03fa</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-01</news:publication_date>
      <news:title>LatentPress: Continuous Memory Tokens for Context Compression</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-llada-image-building-strong-image-generators-with-fully-open-b049</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-03</news:publication_date>
      <news:title>LLaDA-Image: 6B Diffusion Transformer with Image-Only Pre-training</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-memorylace-memory-lifecycle-aware-consolidation-and-evidence-21f4</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>MemoryLACE Models Evidence Lifecycle in Long-Term LLM Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-scoremix-synthetic-data-generation-by-score-composition-in-d-6a82</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>ScoreMix Improves Diffusion Models via Score Composition</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-swe-gate-passing-functional-tests-is-not-enough-for-software-dbb0</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>SWE-Gate Evaluates Software Engineering Agents on Review Constraints</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-the-missing-temporal-link-temporal-context-routing-for-scrip-093b</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-02</news:publication_date>
      <news:title>Temporal Context Routing for Script-Driven Audio-Video Generation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-beyond-retrieval-progressive-latent-memory-evolution-for-str-38f4</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-03</news:publication_date>
      <news:title>LatentStream Evolves Latent Memory for Continuous Video Understanding</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-flashrender-few-step-generative-rendering-via-camera-control-4612</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-03</news:publication_date>
      <news:title>FlashRender Enables Few-Step Generative Video Rendering</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-puffin-world-scaling-a-unified-multimodal-model-with-native--cd81</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-03</news:publication_date>
      <news:title>Puffin-World Unified Multimodal Architecture for 3D World Generation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-rethinking-on-policy-distillation-of-large-language-models-i-47e4</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-03</news:publication_date>
      <news:title>One-Shot On-Policy Distillation Recovers Most Full-Data Gains</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-random-attention-rethinking-kv-cache-eviction-for-efficient--5602</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-03</news:publication_date>
      <news:title>Random Attention Increases KV Cache Throughput by 32-43%</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-identifying-ai-web-scrapers-using-canary-tokens-a42c</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>Automated Inference of AI Web Scrapers Using Canary Tokens</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-how-much-do-circuits-tell-us-measuring-the-consistency-and-s-3884</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>Analyzing Consistency and Specificity in Mechanistic Interpretability</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-core-improving-compositional-reasoning-in-mllm-embedding-via-ff9e</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>CORE: Improving MLLM Embedding via Reranker Distillation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-reducing-catastrophic-risk-from-ai-with-systematic-monitorin-9e94</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>Framework for Monitoring Rogue AI Progression via Behavioral Indicators</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-a-non-formulable-theorem-a-fundamental-limit-of-finite-synta-d787</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>Metatheorem on the Limits of Finite Syntactic Systems</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-knowing-when-not-to-reuse-conditional-experience-transfer-in-8b51</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-27</news:publication_date>
      <news:title>Boundary-Calibrated Intervention for Efficient LLM Post-Training</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-pace-towards-surfacing-hidden-conflicts-in-user-requests-b010</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-03</news:publication_date>
      <news:title>PACE Dataset for Evaluating Personalized Assistant Conflict Detection</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-privatehub-contrastive-diffusion-model-for-private-sensor-in-b128</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>PrivateHub Generates Synthetic Sensor Data via Contrastive Diffusion</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-the-dice-roll-method-a-standardized-protocol-for-repeated-qu-7e3e</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>Dice Roll Method Standardizes LLM Brand Recommendation Auditing</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-fedps-federated-preprocessing-for-structured-data-via-aggreg-81eb</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>FedPS Enables Privacy-Preserving Federated Data Preprocessing</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-auditing-multi-agent-llm-reasoning-trees-outperforms-majorit-a8c6</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>AgentAuditor Uses Reasoning Trees to Improve Multi-Agent LLM Logic</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-lrconv-nerv-low-rank-convolution-for-efficient-neural-video--fddc</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>LRConv-NeRV Reduces Video Decoder Complexity by 68%</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-gop-issues-stark-warning-to-ai-companies-b1d3</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-06</news:publication_date>
      <news:title>Political Warnings Issued to AI Companies</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/news-authors-push-back-as-publishers-and-agents-make-claims-on-an-c400</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-06</news:publication_date>
      <news:title>Authors Dispute Publisher Share of Anthropic Settlement</news:title>
    </news:news>
  </url>
</urlset>