{"total":16,"rows":[{"id":"2601.21557","title":"Meta Context Engineering via Agentic Skill Evolution","created":"2026-01-29","cited_by_count":49,"area":"agents"},{"id":"2404.01549","title":"Octopus: On-device language model for function calling of software APIs","created":"2024-04-02","cited_by_count":27,"area":"agents"},{"id":"2607.14159","title":"MemoHarness: Agent Harnesses That Learn from Experience","created":"2026-07-14","cited_by_count":16,"area":"agents"},{"id":"2507.04037","title":"Ready Jurist One: Benchmarking Language Agents for Legal Intelligence in Dynamic Environments","created":"2025-07-05","cited_by_count":13,"area":"agents"},{"id":"2411.13768","title":"Evaluation-Driven Development and Operations of LLM Agents: A Process Model and Reference Architecture","created":"2024-11-21","cited_by_count":11,"area":"agents"},{"id":"2509.00761","title":"L-MARS: Legal Multi-Agent System with Agentic Search and Citation-Faithfulness Audit","created":"2025-08-31","cited_by_count":11,"area":"agents"},{"id":"2604.14116","title":"TREX: Automating LLM Fine-tuning via Agent-Driven Tree-based Exploration","created":"2026-04-15","cited_by_count":8,"area":"agents"},{"id":"2601.06216","title":"LLM Agents in Law: Taxonomy, Applications, and Challenges","created":"2026-01-08","cited_by_count":5,"area":"agents"},{"id":"2510.21524","title":"EU-Agent-Bench: Measuring Illegal Behavior of LLM Agents Under EU Law","created":"2025-10-24","cited_by_count":1,"area":"agents"},{"id":"2605.28369","title":"CyberJurors: A Multi-Agent Simulation Task for E-Commerce Disputes Verdict","created":"2026-05-27","cited_by_count":1,"area":"agents"},{"id":"2606.04602","title":"Parthenon Law: A Self-Evolving Legal-Agent Framework","created":"2026-06-03","cited_by_count":1,"area":"agents"},{"id":"2609.04298","title":"Harbor Adapters and Harbor-Index: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation","created":"2026-09-03","cited_by_count":1,"area":"agents"},{"id":"2610.00609","title":"Legal Research Bench: Measuring End-to-End Reliability in Long-Horizon Legal Research Agents","created":"2026-09-30","cited_by_count":1,"area":"agents"},{"id":"2610.04129","title":"InvestigationWorlds: An Agentic Environment for Legal Investigation","created":"2026-10-02","cited_by_count":0,"area":"agents"},{"id":"2610.05039","title":"Causal Improvement Graph for Agentic Harness Optimization","created":"2026-10-04","cited_by_count":0,"area":"agents"},{"id":"2610.05300","title":"MESH-Harness: Self-Improving Agent Harnesses via Bandit-Guided Compositional Evolution","created":"2026-10-04","cited_by_count":0,"area":"agents"}],"next_cursor":null}