{"total":15,"rows":[{"id":"2607.05722","title":"Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding","created":"2026-07-07","cited_by_count":24,"area":null},{"id":"2609.17699","title":"NeMo Data Designer: An Extensible Framework for Multimodal Synthetic Data Generation","created":"2026-09-15","cited_by_count":1,"area":null},{"id":"2605.11442","title":"Can a Single Message Paralyze the AI Infrastructure? The Rise of AbO-DDoS Attacks through Targeted Mobius Injection","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2606.05563","title":"SoCRATES: Towards Reliable Automated Evaluation of Proactive LLM Mediation across Domains and Socio-cognitive Variations","created":"2026-06-04","cited_by_count":0,"area":null},{"id":"2606.15216","title":"Spokes: Optimizing for Diverse Pretraining Data Selection","created":"2026-06-13","cited_by_count":0,"area":null},{"id":"2607.04072","title":"Benchmarking API Drift in LLM-Generated Quantum Code Across Successive SDK Versions","created":"2026-07-05","cited_by_count":0,"area":null},{"id":"2609.08966","title":"Good Pretraining, Bad SFT: Checkpoint Quality Across the Training Stack","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.10132","title":"Context operations to architecture modelling output from large language models and evaluation criteria for their use in systems engineering design","created":"2026-09-09","cited_by_count":0,"area":null},{"id":"2609.16648","title":"GrowMTP: Can RL Grow Its Own Draft Head?","created":"2026-09-15","cited_by_count":0,"area":null},{"id":"2609.24985","title":"Critical-State RL: Diagnosing Trainable States for Multi-Turn Tool Use","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2609.30950","title":"Low-Bit Recurrent States in Hybrid Language Models","created":"2026-09-25","cited_by_count":0,"area":null},{"id":"2609.34034","title":"ADPTNet: Adaptive with Prescriptive Timescales Non-Linear SSM for Sequence Modelling","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.35036","title":"Persona Following Is Not Selective Control: The Neutrality Gap in LLM User Simulation","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2610.15709","title":"Preserving Updates in Low-Bit Recurrent State Quantization","created":"2026-10-11","cited_by_count":0,"area":null},{"id":"2610.15894","title":"Make Every Expansion Count: Learning to Search Efficiently in LLM Code Repair","created":"2026-10-11","cited_by_count":0,"area":null}],"next_cursor":null}