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agent/papers/items/2026-2606-31209-long-term-traffic-simulation-via-structured-autoregressive-modeling.md
2026-07-08 12:25:30 +08:00

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# Paper: Long-term Traffic Simulation via Structured Autoregressive Modeling
---
type: paper
title: Long-term Traffic Simulation via Structured Autoregressive Modeling
authors: Lingyu Xiao, Zexin Feng, Xintao Yan
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2606.31209
code_url:
source: arxiv
collected_at: 2026-07-08
published_at: 2026-06-30
updated_at: 2026-06-30
status: queued
relevance: high
topics:
- agent-evaluation
- agent-safety
- memory
- multi-agent
- planning
- rag
- tool-use
- world-model
methods:
-
benchmarks:
-
models:
-
datasets:
- cs.AI
- cs.RO
related_concepts:
-
related_jobs:
-
related_experiments:
-
related_projects:
-
collection_score: 15
collection_queries: multi-agent-llm
---
## One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
## Why Collected
- matched queries: multi-agent-llm
- inferred topics: agent-evaluation, agent-safety, memory, multi-agent, planning, rag, tool-use, world-model
- arXiv categories: cs.AI, cs.RO
- collection score: 15
## Review Checklist
- Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
- Does it include a benchmark, dataset, code, or reproducible experimental setup?
- Should it be promoted from `queued` to `skimmed` or `summarized`?
## Links
- arXiv: https://arxiv.org/abs/2606.31209