<?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-risk-sensitive-mission-planning-for-multi-target-on-orbit-in-1819</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>Risk-Sensitive Mission Planning via Distributional Reinforcement Learning for Satellite Inspection</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-researcher-in-the-loop-evolutionary-discovery-of-entanglemen-952d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>Researcher-in-the-Loop Pipeline Discovers New Entanglement-Assisted Quantum Code Families</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-recite-revising-eligibility-criteria-incorporating-textual-e-73d9</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>RECITE Framework Automates Evidence-Based Clinical Trial Eligibility Revisions</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-real-computation-or-merely-naming-a-pre-registered-mechanism-100e</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>Audit Protocol Reveals Claim-Implementation Gap in LLM-Based Cognitive Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-qual-quantile-alignment-improves-zero-shot-time-series-found-05f8</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>QUAL Framework Improves Time-Series Foundation Model Forecasts via Quantile Alignment</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-i-found-another-niche-use-case-for-local-llms-but-need-some--4964</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-03</news:publication_date>
      <news:title>I found another niche use case for local LLMs, but need some advice</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-qistas-a-pre-registered-portable-protocol-for-fairness-evalu-c9f8</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>Qistas Protocol Standardizes LLM Fairness Evaluation Across Cultures</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-psyinterviewee-informational-invariance-and-relational-adapt-dec5</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>PsyInterviewee Preserves Clinical Fact Integrity in Mental Health Simulations</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-payroll-fraud-detection-in-synthetic-hrerp-graphs-an-inducti-d4a1</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>Chained-Join Boosting Outperforms GNNs in Payroll Fraud Detection</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-patch-based-deep-kernel-learning-for-data-assimilation-and-b-7a7e</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>Hybrid CNN-GP Framework for Sparse Data Assimilation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-p-contextbench-from-personal-fact-recall-to-personalized-age-0521</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>P-ContextBench Evaluates Personalized Agent Fact Recall and Behavior</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-wave-forcing-towards-speed-of-light-streaming-video-generati-b7d9</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-31</news:publication_date>
      <news:title>Local LLMs for Analyzing Long-Term Municipal Records</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-a-solo-developer-built-this-in-4-days-with-opus-55-godot-thi-1612</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>Solo Developer Builds Game Level in 4 Days Using Opus 5.5</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-operon-s1-a-fast-decision-controller-for-long-horizon-biomed-ffe3</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>Operon-S1 Separates Decision-Making from Execution in Bio-Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-opening-the-box-changes-the-cat-llms-detect-chain-of-thought-96d2</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>LLMs Detect Chain-of-Thought Monitoring via Environmental Cues</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-online-evidence-containment-prediction-over-text-spans-under-c525</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>Online Evidence-Containment Prediction for NLP Systems</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-more-rules-longer-lists-benchmarking-self-evolving-agents-on-82df</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>CLR-Bench Tests Agent Learning of Hidden Rules</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-tinyastral-transferring-self-evolving-harnesses-to-tiny-gene-faee</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30</news:publication_date>
      <news:title>TinyAstral Distills Large Teacher Harnesses into Small Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-self-improvement-with-auxiliary-rewards-learning-from-verifi-298a</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30</news:publication_date>
      <news:title>UID-Conj. Metric Improves Small Language Model Self-Improvement</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-prove-proposer-verifier-decoding-166d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>ProVe Reverses Speculative Decoding Roles for Acceleration</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-on-policy-self-distillation-with-teacher-evolution-c933</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-28</news:publication_date>
      <news:title>Teacher-Evolution Self-Distillation Improves Model Training Stability</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-northcua-technical-report-turbocharging-computer-use-agents--9e4e</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-01</news:publication_date>
      <news:title>NorthCUA System Scales Computer-Use Agents via Experience Flywheels</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-deft-rag-decomposing-multi-hop-questions-into-self-contained-d5ff</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30</news:publication_date>
      <news:title>DeFT-RAG Decomposes Multi-Hop Questions into Sub-Questions</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-decisionrank-on-policy-distillation-for-decision-model-reran-0ac0</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30</news:publication_date>
      <news:title>DecisionRank Uses On-Policy Distillation for Efficient Decision Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-tsflab-a-self-improving-agent-agnostic-workbench-for-time-se-a2f9</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29</news:publication_date>
      <news:title>TSFLab Workbench for Automated Time Series Forecasting Research</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-maservebench-benchmarking-multi-agent-llm-serving-systems-wi-c94d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29</news:publication_date>
      <news:title>MAServeBench Benchmarks Multi-Agent LLM Serving Workloads</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-diagnosing-the-reference-gap-what-visual-scaffolds-can-and-c-c82e</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29</news:publication_date>
      <news:title>ReGap-Bench Evaluates Visual Reference Gaps in MLLMs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-lost-in-recovery-demystifying-recovery-behavior-of-computer--8241</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>ReTrace Framework for Computer-Use Agent Error Recovery</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-from-fragmentation-to-fusion-a-survey-and-roadmap-for-omnimo-6a41</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30</news:publication_date>
      <news:title>Framework for Unifying Omnimodal Embedding Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-democratizing-robot-use-agents-a-unified-harness-with-open-m-f503</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-01</news:publication_date>
      <news:title>Open-Weight Qwen3.8-Flash-Next Outperforms GPT-6 Astra on Robot Tasks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-video-generation-meets-agent-harness-agentic-video-generatio-917c</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29</news:publication_date>
      <news:title>Agentic Harness for Video Generation and World Modeling</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-memig-self-evolving-memory-construction-for-antibody-optimiz-05eb</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>MEMIG Framework for Structured Antibody Optimization Memory</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-mage-vl-cowork-a-full-training-recipe-to-learn-hybrid-comput-86d5</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>Mage-VL-Cowork 4B Model for Hybrid Computer Use</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-llm-detoxification-via-transition-aware-reward-guided-repres-7892</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>TARGRS Framework for Test-Time LLM Detoxification</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-li2sao-lifting-light-singl-rollout-asynchronous-rl-optimizat-433e</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>Li2SAO Analyzes Asynchronous RL Stability for Agentic Tasks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-leap-efficient-llm-inference-scheduling-with-generalizable-l-5f2f</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>LEAP enables efficient LLM inference through adaptive length prediction</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-language-models-show-a-women-are-wonderful-effect-in-blame-a-4f4c</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>LLMs exhibit gender bias in blame attribution via WaW effect</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-kv-cache-patching-tracing-how-and-where-fine-tuned-behaviors-e728</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>KV-Cache Patching identifies drivers of fine-tuned model behaviors</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-keeper-learning-control-sufficient-textual-memory-for-long-h-1f15</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>KEEPER improves long-horizon LLM agent memory reliability</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-incongruence-aware-evaluation-of-multimodal-speech-emotion-r-7f7f</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>Audio LLM emotion recognition degrades with text-audio incongruence</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/news-y-combinator8217s-garry-tan-uses-ai-agents-so-much-he-spends-7b9c</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-03</news:publication_date>
      <news:title>Y Combinator CEO reports high token spend for AI agent workflows</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/lab-openai-appoints-dan-driscoll-as-senior-counselor-for-nationa-5d1c</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>OpenAI appoints Dan Driscoll to lead National Security Modernization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/news-apple-may-try-to-increase-revenue-by-doing8230something-with-048c</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-03</news:publication_date>
      <news:title>Apple hints at potential revenue sharing with third-party AI apps</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/news-google-takes-dreambeans-to-india-in-bid-to-bring-ai-generate-f8ea</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-03</news:publication_date>
      <news:title>Google Dreambeans expands AI storytelling to 13 Indian languages</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/lab-rewarding-defenders-with-bigger-bug-bounties-b55e</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>OpenAI increases bug bounty rewards and researcher bonuses</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/lab-preparing-our-next-security-sprint-to-harden-openai-7fa2</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>OpenAI partners with Cathedral Systems for AI-driven security hardening</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-not-one-eu-company-on-mistrals-connector-list-5202</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>Mistral Vibe Connector List Lacks EU-Headquartered Integrations</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-alibabas-qwen-code-repo-just-leaked-qwen4-max-qwen4-coder-pl-a5c9</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-03</news:publication_date>
      <news:title>Leaked Repository Metadata Suggests Upcoming Qwen4 Series</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-in-model-context-compression-with-agentic-soft-tokens-for-lo-fd3f</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>Agentic Soft-Token Compression for Long-Horizon LLM Contexts</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-hyperrepair-recovering-forgotten-general-capabilities-of-fin-d4f9</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>HyperRepair Recovers General LLM Capabilities After Fine-Tuning</news:title>
    </news:news>
  </url>
</urlset>