mlsanityData to 7 Oct 2026

Project Synapse: A Hierarchical Multi-Agent Framework with Hybrid Memory for Autonomous Resolution of Last-Mile Delivery Disruptions

arXiv 2601.08156 ↗First posted 13 Jan 2026cs.AIcited by 1

On the map: LLM agents and tool use → Software engineering coding agents

Abstract (arXiv)

This paper introduces Project Synapse, a novel agentic framework designed for the autonomous resolution of last-mile delivery disruptions. Synapse employs a hierarchical multi-agent architecture in which a central Resolution Supervisor agent performs strategic task decomposition and delegates subtasks to specialized worker agents responsible for tactical execution. The system is orchestrated using LangGraph to manage complex and cyclical workflows. To validate the framework, a benchmark dataset of 30 complex disruption scenarios was curated from a qualitative analysis of over 6,000 real-world user reviews. System performance is evaluated using an LLM-as-a-Judge protocol with explicit bias mitigation.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use. Builds on 10 of its 23 references that are in the map. First posted on arXiv 13 Jan 2026.

Builds on

10 of 23 references.

Closest ancestors · 1

Same direction, newest first

  1. 2025LLM Agents Making Agent Tools17 Feb

Other references · 9

  1. 2024Self-Preference Bias in LLM-as-a-Judgecited by 248
  2. 2025From Language to Action: A Review of Large Language Models as Autonomous Agents and Tool Userscited by 32
  3. 2021Analytics and Machine Learning in Vehicle Routing Researchcited by 22
  4. 2025When AIs Judge AIs: The Rise of Agent-as-a-Judge Evaluation for LLMscited by 16
  5. 2025The Silent Judge: Unacknowledged Shortcut Bias in LLM-as-a-Judgecited by 13
  6. 2025A Taxonomy of Hierarchical Multi-Agent Systems: Design Patterns, Coordination Mechanisms, and Industrial Applicationscited by 8
  7. 2025InfiAgent: Self-Evolving Pyramid Agent Framework for Infinite Scenarioscited by 4
  8. 2025Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judgecited by 3
  9. 2025Memory Management and Contextual Consistency for Long-Running Low-Code Agentscited by 2

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026STEM Agent: A Self-Adapting, Tool-Enabled, Extensible Architecture for Multi-Protocol AI Agent Systemscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025Autono: A ReAct-Based Highly Robust Autonomous Agent Framework
  2. 2026Autonomous Incident Resolution at Hyperscale: An Agentic AI Architecture for Network Operations
  3. 2025Multi-Agent LLM Orchestration Achieves Deterministic, High-Quality Decision Support for Incident Response
  4. 2026AgentRewind: Recoverable Execution for Long-Horizon LLM Agents
  5. 2026PRIMA: Operational Patterns for Resilient Multi-Agent Research with Verifiable Identity and Convergent Feedback
  6. 2026ORAgentBench: Can LLM Agents Solve Challenging Operations Research Tasks End to End?
  7. 2025AOI: Context-Aware Multi-Agent Operations via Dynamic Scheduling and Hierarchical Memory Compression
  8. 2026Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads