| 20260506_distributed_governance_principal_agent_data_governance | paper_analysis | data_governance, distributed_systems, digital_identity, ontology | human_colossus_foundation, keri, oca | 100 | | | Distributed Governance: a Principal-Agent approach to data governance Part 1 background and core definitions | | [object Object] | [object Object] | md | |
| 20260507_learning_distilled_collaboration_graph_multi_agent_perception | paper_analysis | autonomous_driving, distributed_systems, embodied_ai, robotics | sjtu, nyu, rutgers_university | 100 | | | Learning Distilled Collaboration Graph for Multi-Agent Perception | | [object Object] | [object Object] | md | |
| 20260507_scaling_large_language_model_multi_agent_collaboration | paper_analysis | llm, agent_architecture, workflow_optimization, distributed_systems | tsinghua_university, peng_cheng_laboratory | 100 | | | Scaling Large Language Model-based Multi-Agent Collaboration | | [object Object] | [object Object] | md | |
| 20260515_apwa_parallelizable_agentic_workflows | paper_analysis | multi_agent_systems, agent_architecture, distributed_systems, workflow_optimization, reasoning, llm | northeastern_university, apwa, ray, pii_300k, schemabench, summarybench | 95 | | | APWA: A Distributed Architecture for Parallelizable Agentic Workflows | scaling_large_language_model_multi_agent_collaboration, gasim_graph_accelerated_hybrid_social_simulation | [object Object] | [object Object] | md | |
| 20260521_methodology_selecting_composing_runtime_architecture_patterns_production_llm_agents | paper_analysis | agent_architecture, distributed_systems, multi_agent_systems, llm, reasoning | stanford_iris_lab, claw | 100 | | | A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents | agent_memory_and_reasoning_frontier_survey_2026, memgpt_towards_llms_as_operating_systems, memlineage_lineage_guided_llm_agent_memory | [object Object] | [object Object] | md | |
| 20260716_prefill_as_service_kv_cache_cross_datacenter | paper_analysis | llm_serving, kv_cache, distributed_systems, multi_agent_systems, reasoning | moonshot_ai, tsinghua_university | 100 | | | Prefill-as-a-Service: KV Cache of Next-Generation Models Could Go Cross-Datacenter | 20260714_comprehensive_survey_knowledge_graph_reasoning_approaches_applications, 20260714_rubrics_as_rewards_reinforcement_learning_beyond_verifiable_domains | [object Object] | [object Object] | md | |