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  <url><loc>https://www.opentrain.ai/papers/accurate-and-efficient-statistical-testing-for-word-semantic-breadth--arxiv-2605.08048/</loc><lastmod>2026-06-19T17:48:46.622Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/uncertainty-aware-structured-data-extraction-from-full-cmr-reports-via-distilled--arxiv-2605.08045/</loc><lastmod>2026-06-18T22:50:12.064Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/scope-structured-decomposition-and-conditional-skill-orchestration-for-complex-i--arxiv-2605.08043/</loc><lastmod>2026-06-18T17:33:05.737Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/position-mechanistic-interpretability-must-disclose-identification-assumptions-f--arxiv-2605.08012/</loc><lastmod>2026-06-18T22:42:12.709Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/cocoreviewbench-a-completeness-and-correctness-oriented-benchmark-for-ai-reviewe--arxiv-2605.07905/</loc><lastmod>2026-06-18T17:31:35.859Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/scene-recognizing-social-norms-and-sanctioning-in-group-chats--arxiv-2605.07823/</loc><lastmod>2026-06-18T22:56:24.141Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/simct-recovering-lost-supervision-for-cross-tokenizer-on-policy-distillation--arxiv-2605.07711/</loc><lastmod>2026-06-20T07:31:45.157Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/drip-r-a-benchmark-for-decision-making-and-reasoning-under-real-world-policy-amb--arxiv-2605.07699/</loc><lastmod>2026-06-18T17:33:27.752Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/maven-multi-agent-verification-elaboration-network-with-in-step-epistemic-auditi--arxiv-2605.07646/</loc><lastmod>2026-06-18T17:46:50.276Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/learning-to-communicate-locally-for-large-scale-multi-agent-pathfinding--arxiv-2605.07637/</loc><lastmod>2026-06-18T12:09:04.849Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/safe-or-simply-incapable-rethinking-safety-evaluation-for-phone-use-agents--arxiv-2605.07630/</loc><lastmod>2026-06-18T22:49:57.643Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/implicit-preference-alignment-for-human-image-animation--arxiv-2605.07545/</loc><lastmod>2026-06-18T17:32:46.982Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/specblock-block-iterative-speculative-decoding-with-dynamic-tree-drafting--arxiv-2605.07243/</loc><lastmod>2026-06-18T22:48:54.325Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/hypereyes-dual-grained-efficiency-aware-reinforcement-learning-for-parallel-mult--arxiv-2605.07177/</loc><lastmod>2026-06-18T08:18:13.367Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/cliper-tailoring-diverse-user-preference-via-classifier-guided-inference-time-pe--arxiv-2605.07162/</loc><lastmod>2026-06-18T15:50:36.189Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/learning-visual-feature-based-world-models-via-residual-latent-action--arxiv-2605.07079/</loc><lastmod>2026-06-18T13:03:22.394Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/relit-live-relight-video-by-jointly-learning-environment-video--arxiv-2605.06658/</loc><lastmod>2026-06-18T08:01:17.579Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/ai-co-mathematician-accelerating-mathematicians-with-agentic-ai--arxiv-2605.06651/</loc><lastmod>2026-06-18T17:19:14.586Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/pianocore-combined-and-refined-piano-midi-dataset--arxiv-2605.06627/</loc><lastmod>2026-06-18T23:02:41.947Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/skillos-learning-skill-curation-for-self-evolving-agents--arxiv-2605.06614/</loc><lastmod>2026-06-18T14:18:48.045Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/geostack-a-framework-for-quasi-abelian-knowledge-composition-in-vlms--arxiv-2605.06477/</loc><lastmod>2026-06-18T08:20:44.466Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/mia-signature-approximating-global-activation-for-long-context-understanding--arxiv-2605.06416/</loc><lastmod>2026-06-18T08:03:00.527Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/humannet-scaling-human-centric-video-learning-to-one-million-hours--arxiv-2605.06747/</loc><lastmod>2026-06-18T23:06:23.021Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/continuous-time-distribution-matching-for-few-step-diffusion-distillation--arxiv-2605.06376/</loc><lastmod>2026-06-18T22:53:21.579Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/teaching-thinking-models-to-reason-with-tools-a-full-pipeline-recipe-for-tool-in--arxiv-2605.06326/</loc><lastmod>2026-06-18T17:33:14.461Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/opsd-compresses-what-rlvr-teaches-a-post-rl-compaction-stage-for-reasoning-model--arxiv-2605.06188/</loc><lastmod>2026-06-18T02:24:35.139Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/on-time-within-budget-constraint-driven-online-resource-allocation-for-agentic-w--arxiv-2605.06110/</loc><lastmod>2026-06-18T23:10:06.709Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/uncovering-entity-identity-confusion-in-multimodal-knowledge-editing--arxiv-2605.06096/</loc><lastmod>2026-06-18T09:50:48.085Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/milestone-guided-policy-learning-for-long-horizon-language-agents--arxiv-2605.06078/</loc><lastmod>2026-06-19T21:52:03.708Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/personakit-pk-a-plug-and-play-platform-for-user-testing-diverse-roles-in-full-du--arxiv-2605.06007/</loc><lastmod>2026-06-18T23:03:15.454Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/steering-visual-generation-in-unified-multimodal-models-with-understanding-super--arxiv-2605.05781/</loc><lastmod>2026-06-18T23:10:55.683Z</lastmod></url>
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  <url><loc>https://www.opentrain.ai/papers/belief-memory-agent-memory-under-partial-observability--arxiv-2605.05583/</loc><lastmod>2026-06-18T23:08:42.227Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/who-prices-cognitive-labor-in-the-age-of-agents-compute-anchored-wages--arxiv-2605.05558/</loc><lastmod>2026-06-18T22:53:47.654Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/physforge-generating-physics-grounded-3d-assets-for-interactive-virtual-world--arxiv-2605.05163/</loc><lastmod>2026-06-19T12:58:19.444Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/self-induced-outcome-potential-turn-level-credit-assignment-for-agents-without-v--arxiv-2605.04984/</loc><lastmod>2026-06-18T19:15:16.842Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/a-foundation-model-for-zero-shot-logical-rule-induction--arxiv-2605.04916/</loc><lastmod>2026-06-18T17:32:52.592Z</lastmod></url>
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  <url><loc>https://www.opentrain.ai/papers/che-tkg-collaborative-historical-evidence-and-evolutionary-dynamics-learning-for--arxiv-2605.04652/</loc><lastmod>2026-06-18T19:03:40.202Z</lastmod></url>
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  <url><loc>https://www.opentrain.ai/papers/rethinking-reasoning-intensive-retrieval-evaluating-and-advancing-retrievers-in--arxiv-2605.04018/</loc><lastmod>2026-06-18T22:48:53.781Z</lastmod></url>
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  <url><loc>https://www.opentrain.ai/papers/skcc-portable-and-secure-skill-compilation-for-cross-framework-llm-agents--arxiv-2605.03353/</loc><lastmod>2026-06-18T22:56:47.683Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/adapts-agentic-decomposition-for-automated-protocol-agnostic-tracking-of-symptom--arxiv-2605.03212/</loc><lastmod>2026-06-18T21:51:47.009Z</lastmod></url>
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  <url><loc>https://www.opentrain.ai/papers/distilling-long-cot-reasoning-through-collaborative-step-wise-multi-teacher-deco--arxiv-2605.02290/</loc><lastmod>2026-06-19T16:20:18.586Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/physicianbench-evaluating-llm-agents-in-real-world-ehr-environments--arxiv-2605.02240/</loc><lastmod>2026-06-20T07:10:45.618Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/perturbation-dose-responses-in-recursive-llm-loops-raw-switching-stochastic-floo--arxiv-2605.02236/</loc><lastmod>2026-06-19T16:57:26.340Z</lastmod></url>
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  <url><loc>https://www.opentrain.ai/papers/learning-while-deploying-fleet-scale-reinforcement-learning-for-generalist-robot--arxiv-2605.00416/</loc><lastmod>2026-06-19T16:58:33.061Z</lastmod></url>
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  <url><loc>https://www.opentrain.ai/papers/towards-customized-multimodal-role-play--arxiv-2605.08129/</loc><lastmod>2026-06-18T23:04:14.742Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/cgm-jepa-learning-consistent-continuous-glucose-monitor-representations-via-pred--arxiv-2605.00933/</loc><lastmod>2026-06-18T22:59:33.680Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/online-self-calibration-against-hallucination-in-vision-language-models--arxiv-2605.00323/</loc><lastmod>2026-06-19T14:34:26.525Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/code-world-model-preparedness-report--arxiv-2605.00932/</loc><lastmod>2026-06-19T14:23:00.152Z</lastmod></url>
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  <url><loc>https://www.opentrain.ai/papers/mocapanything-v2-end-to-end-motion-capture-for-arbitrary-skeletons--arxiv-2604.28130/</loc><lastmod>2026-06-18T22:58:08.982Z</lastmod></url>
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  <url><loc>https://www.opentrain.ai/papers/world-model-for-robot-learning-a-comprehensive-survey--arxiv-2605.00080/</loc><lastmod>2026-06-19T14:23:38.991Z</lastmod></url>
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  <url><loc>https://www.opentrain.ai/papers/autogui-v2-a-comprehensive-multi-modal-gui-functionality-understanding-benchmark--arxiv-2604.24441/</loc><lastmod>2026-06-19T16:59:10.879Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/diffusion-templates-a-unified-plugin-framework-for-controllable-diffusion--arxiv-2604.24351/</loc><lastmod>2026-06-19T15:21:24.533Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/revsi-rebuilding-visual-spatial-intelligence-evaluation-for-accurate-assessment--arxiv-2604.24300/</loc><lastmod>2026-06-19T15:22:25.921Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/muss-a-large-scale-dataset-and-cinematic-narrative-benchmark-for-multi-shot-subj--arxiv-2604.23789/</loc><lastmod>2026-06-19T16:58:19.131Z</lastmod></url>
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  <url><loc>https://www.opentrain.ai/papers/vision-language-action-safety-threats-challenges-evaluations-and-mechanisms--arxiv-2604.23775/</loc><lastmod>2026-06-19T16:58:14.620Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/analogretriever-learning-cross-modal-representations-for-analog-circuit-retrieva--arxiv-2604.23195/</loc><lastmod>2026-06-18T23:01:44.000Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/proeval-proactive-failure-discovery-and-efficient-performance-estimation-for-gen--arxiv-2604.23099/</loc><lastmod>2026-06-20T08:17:20.566Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/code-broker-a-multi-agent-system-for-automated-code-quality-assessment--arxiv-2604.23088/</loc><lastmod>2026-06-19T16:20:25.619Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/representational-harms-in-llm-generated-narratives-against-global-majority-natio--arxiv-2604.22749/</loc><lastmod>2026-06-18T23:04:25.721Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/agentic-world-modeling-foundations-capabilities-laws-and-beyond--arxiv-2604.22748/</loc><lastmod>2026-06-20T05:39:55.789Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/rethinking-xai-evaluation-a-human-centered-audit-of-shapley-benchmarks-in-high-s--arxiv-2604.22662/</loc><lastmod>2026-06-18T07:01:53.812Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/from-graphemic-dependence-to-lexical-structure-a-markovian-perspective-on-dante--arxiv-2604.22626/</loc><lastmod>2026-06-18T23:07:19.117Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/flowanchor-stabilizing-the-editing-signal-for-inversion-free-video-editing--arxiv-2604.22586/</loc><lastmod>2026-06-20T03:52:40.142Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/quantclaw-precision-where-it-matters-for-openclaw--arxiv-2604.22577/</loc><lastmod>2026-06-18T14:18:55.478Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/data-free-contribution-estimation-in-federated-learning-using-gradient-von-neuma--arxiv-2604.22562/</loc><lastmod>2026-06-19T13:40:26.001Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/cross-stage-coherence-in-hierarchical-driving-vqa-explicit-baselines-and-learned--arxiv-2604.22560/</loc><lastmod>2026-06-18T23:09:34.256Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/armssl-adversarial-robust-black-box-watermarking-for-self-supervised-learning-pr--arxiv-2604.22550/</loc><lastmod>2026-06-19T15:24:00.173Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/superminds-test-actively-evaluating-collective-intelligence-of-agent-society-via--arxiv-2604.22452/</loc><lastmod>2026-06-19T13:40:34.916Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/from-skills-to-talent-organising-heterogeneous-agents-as-a-real-world-company--arxiv-2604.22446/</loc><lastmod>2026-06-18T16:23:38.397Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/cognitivetwin-robust-multi-modal-digital-twins-for-predicting-cognitive-decline--arxiv-2604.22428/</loc><lastmod>2026-06-18T12:42:03.153Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/from-local-to-cluster-a-unified-framework-for-causal-discovery-with-latent-varia--arxiv-2604.22416/</loc><lastmod>2026-06-18T11:52:49.066Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/contexts-are-never-long-enough-structured-reasoning-for-scalable-question-answer--arxiv-2604.22294/</loc><lastmod>2026-06-18T15:04:58.182Z</lastmod></url>
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  <url><loc>https://www.opentrain.ai/papers/an-llm-driven-closed-loop-autonomous-learning-framework-for-robots-facing-uncove--arxiv-2604.22199/</loc><lastmod>2026-06-18T12:34:00.481Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/reliable-self-harm-risk-screening-via-adaptive-multi-agent-llm-systems--arxiv-2604.22154/</loc><lastmod>2026-06-20T01:33:19.556Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/removing-sandbagging-in-llms-by-training-with-weak-supervision--arxiv-2604.22082/</loc><lastmod>2026-06-18T22:57:53.939Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/sound-agentic-science-requires-adversarial-experiments--arxiv-2604.22080/</loc><lastmod>2026-06-18T07:58:16.525Z</lastmod></url>
  <url><loc>https://www.opentrain.ai/papers/layerboost-layer-aware-attention-reduction-for-efficient-llms--arxiv-2604.22050/</loc><lastmod>2026-06-18T12:35:44.028Z</lastmod></url>
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