<?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/newsletter-adithyan-ak-agenthound</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>AgentHound Open-Source Framework Tests AI Agent Infrastructure Security</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-show-hn-skyline-co-op-is-like-simtower-but-built-around-demo-6678</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Skyline Co-op Simulation Built via Claude LLM</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/x-rt-by-akhaliq-fortunately-ai-agents-dont-just-cyberattack-us-cbc5</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Hugging Face Adds 4 PB of Data and Model Traces Weekly</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-focusmem-factorizing-content-readout-and-trust-in-latent-gui-f6c2</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-05</news:publication_date>
      <news:title>FocusMem Factorized Latent GUI Memory</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-self-evolving-coding-agents-7425</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-04</news:publication_date>
      <news:title>Survey of Self-Evolving Coding Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-drift-derailing-denoising-trajectories-of-flow-matching-vlas-dd79</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-04</news:publication_date>
      <news:title>DRIFT Attacks on Flow-Matching VLA Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-gdpevo-evaluating-agent-self-evolution-on-real-business-task-0417</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-04</news:publication_date>
      <news:title>GDPevo Benchmark for Agent Self-Evolution</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-abseeker-training-long-horizon-search-agents-via-answer-back-cf2f</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-05</news:publication_date>
      <news:title>ABC Framework for Long-Horizon Search Agent Training</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-new-model-nvidia-nemotronlabs-voicechat-11b-by-nvidia-3a3c</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-04</news:publication_date>
      <news:title>NVIDIA Nemotron-Labs-VoiceChat-11B Release</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/x-i-would-have-assumed-it-was-fairly-obvious-but-in-case-its-n-7139</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Defining Neurosymbolic Architectures via Codebase Harnesses</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/x-for-a-very-long-time-most-high-performing-ai-models-were-end-3d54</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Shift Toward Heavy Neurosymbolic Systems</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/newsletter-blog-building-an-advanced-agentic-harness</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Agentic Harness Architecture Using Typed Tools and DAGs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/newsletter-cloudflare-cloudflare-os</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Cloudflare Open Sources Internal AI Productivity Operating System</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-claude-code-just-blocked-a-prompt-injection-attempt-9ca8</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-05</news:publication_date>
      <news:title>Claude Code Detects and Blocks Prompt Injection Payload</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/gh-vllm-support-mxfp8-linear-weights-for-inc-deepseek-v4-model-0c56</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>vLLM Integrates MXFP8 Support for DeepSeek V4</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/gh-vllm-fix-weight-prefix-mapping-for-native-qwen35-text-only-c-8ec3</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>vLLM Adds Native Weight Prefix Mapping for Qwen 3.5</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/news-openai-says-apples-trade-secrets-lawsuit-is-rotten-to-its-co-6b33</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>OpenAI Files Motion to Dismiss Apple Trade Secret Lawsuit</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-six-years-into-ai-research-and-i-genuinely-cant-define-under-50d0</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-05</news:publication_date>
      <news:title>The Operational Indistinguishability of Pattern Matching and Causal Understanding</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-qwen38-24t-a95b-aka-qwen38-max-open-release-time-next-wednes-ac53</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Qwen3.8-Max 2.4T MoE Model Scheduled for Open Release</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-patients-like-me-a-variational-lm-gnn-framework-for-explaina-802c</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Patients-like-me Framework for Explainable Clinical Prediction</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-nsf-hrpt-neural-semantic-field-meets-hierarchical-risk-perce-c7f3</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>NSF-HRPT Framework for Risk Assessment in Autonomous Driving</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-the-evaluator-is-part-of-the-experiment-measuring-open-ended-af39</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>LLM Conformity Protocol Measures Evaluator Bias and Peer Influence</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-evigraph-evidence-guided-autonomous-research-agents-16d7</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>EviGraph Framework Uses Typed Evidence Graphs for Autonomous Research</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-easy-towards-efficient-llm-based-agentic-system-3278</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>EASy Framework Optimizes Agentic System Efficiency via Reinforcement Learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-social-pressure-breaks-majority-voting-in-llm-safety-panels-788c</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Social Pressure Increases False-Alarm Rates in LLM Safety Panels</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-provable-limits-and-certified-deferral-for-verbalized-uncert-8fd0</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Limits of Verbalized Uncertainty and Calibration in Small Language Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-a-survey-of-agent-memory-in-the-second-half-towards-self-evo-4de5</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Survey of Agent Memory Architectures for Long-Horizon Utility</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-finprobench-evaluating-financial-ai-agents-with-role-grounde-3553</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>FinProBench Evaluates Financial AI Agents via Role-Grounded Rubrics</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-kathleen-writes-autoregressive-generation-and-data-scaling-w-0cfb</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Kathleen Architecture: Scaling Autoregressive Generation Without Attention</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-relevant-but-incomplete-referential-dangling-as-a-paradigm-l-4238</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Hard Prompt Compression Causes Referential Dangling in Multi-Hop QA</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-the-calibration-floor-format-repair-can-masquerade-as-self-c-2a4b</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Format Repair Can Inflate Apparent Accuracy in Model Self-Correction</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-traceable-llm-generated-hazard-scenarios-for-operational-saf-6596</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>AI-Assisted Hazard Scenario Generation for Aviation Safety Analysis</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-virginia-orders-data-centers-to-pay-for-dedicated-new-electr-db4f</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Virginia Orders Data Centers to Pay for Dedicated Power Infrastructure</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-neumosync-end-to-end-neuromodulatory-control-for-plasticity--b403</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>NeuMoSync Architecture for Plasticity in Continual Learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-test-then-route-how-language-models-execute-in-context-condi-941d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Mechanistic Identification of Routing Circuits in LLM Conditional Logic</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-calibrating-artificial-guilt-neurally-grounded-reward-shapin-8e16</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Neurally Calibrated Reward Shaping for Prosocial Multi-Agent RL</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-finreportbench-measuring-and-improving-institution-grade-fin-ffb1</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>FinReportBench Benchmark for Institutional Financial Report Generation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-leak-resistant-unlearning-a-new-benchmark-for-evaluating-mul-5234</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Leak-Resistant Unlearning Benchmark Tests Multi-Hop Reasoning Robustness</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-right-reset-chunking-by-prefix-removal-00d1</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Right Reset Method Improves Text Chunking via Prefix Removal</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-visualizing-graph-to-answer-mechanism-recovery-in-materials--2cdb</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Visualizing Graph-to-Answer Mechanisms in Graph-PRefLexOR-8B</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-when-absence-is-evidence-evaluating-completeness-sensitive-n-23c7</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>CROWN-QA Evaluates Completeness-Sensitive Negative Reasoning in LLMs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-equitable-system-prompt-selection-via-constrained-mixed-stra-9044</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Constrained Mixed-Strategy GroupDRO for Robust System-Prompt Selection</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-meralion-gr-speech-gender-recognition-model-for-english-and--9b04</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>MERaLiON-GR Surpasses SOTA in Multilingual Speech Gender Recognition</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-the-llm-proposes-the-executive-disposes-a-self-verifying-age-9524</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Self-Verifying Agent Architecture Dissociates Commitment from Binding Drift</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-what-is-a-skill-worth-structure-aware-shapley-valuation-of-a-782a</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>SkillSV Framework Provides Structure-Aware Valuation of Agent Skills</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-eliciting-intrinsic-hallucinations-in-llms-via-semantically--be22</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-06</news:publication_date>
      <news:title>Adversarial Framework Identifies Intrinsic Hallucinations in LLMs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-toward-skill-native-llms-skill-entropy-for-benchmarking-and--350a</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-05</news:publication_date>
      <news:title>Skill^2-Bench Measures Long-Horizon Reasoning via Skill Entropy</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-k-exaone-20-technical-report-70f8</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-05</news:publication_date>
      <news:title>LG AI Research Releases K-EXAONE 2.0 with 750B MoE Parameters</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-consistency-driven-co-evolution-for-self-supervised-cross-re-0215</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-05</news:publication_date>
      <news:title>CoCoEvolve Improves Consistency Across Chart, Table, and Code Representations</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-ego2robot-scalable-robot-data-synthesis-from-egocentric-huma-0259</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-03</news:publication_date>
      <news:title>Ego2Robot Pipeline Synthesizes 18,561 Hours of Robot Training Data</news:title>
    </news:news>
  </url>
</urlset>