{"schema_version":"onlylabs.public_signal.v1","title":"Qwen (Alibaba Cloud) Model: Qwen/Qwen-AgentWorld-35B-A3B","description":"Qwen (Alibaba Cloud) model signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/9e3fcdfa-707d-49a6-83f2-f8bbd029882d","json_url":"https://onlylabs.fyi/signals/9e3fcdfa-707d-49a6-83f2-f8bbd029882d/signal.json","generated_at":"2026-06-26T23:25:05.542Z","evidence_latest_fetched_at":"2026-06-24T07:04:47.943037+00:00","signal_first_seen_at":"2026-06-24T07:00:38.017004+00:00","org":{"slug":"qwen","name":"Qwen (Alibaba Cloud)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/qwen","dossier_json_url":"https://onlylabs.fyi/labs/qwen/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/9e3fcdfa-707d-49a6-83f2-f8bbd029882d","signal_json":"https://onlylabs.fyi/signals/9e3fcdfa-707d-49a6-83f2-f8bbd029882d/signal.json","source":"https://huggingface.co/Qwen/Qwen-AgentWorld-35B-A3B","lab_dossier":"https://onlylabs.fyi/labs/qwen","lab_dossier_json":"https://onlylabs.fyi/labs/qwen/dossier.json","analysis":"https://onlylabs.fyi/analysis/qwen","analysis_json":"https://onlylabs.fyi/analysis/qwen/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/qwen/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml","data_business":null},"answer_pack":{"answer":"Qwen (Alibaba Cloud) published Qwen/Qwen-AgentWorld-35B-A3B. 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It simulates agentic environments via long chain-of-thought reasoning, predicting the next environment state given an agent's action and interaction history. Trained through a three-stage pipeline — CPT injects environment knowledge, SFT activates next-state-prediction reasoning, RL sharpens simulation fidelity — Qwen-AgentWorld is a **native world model**: environment modeling is the training objective from the CPT stage onward, not a post-hoc add-on. 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