{"schema_version":"onlylabs.public_signal.v1","title":"Zhipu AI (GLM) Model: zai-org/SCAIL-Preview","description":"Zhipu AI (GLM) model signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/79dd192e-4c67-474d-b7f1-9d1ea8c12950","json_url":"https://onlylabs.fyi/signals/79dd192e-4c67-474d-b7f1-9d1ea8c12950/signal.json","generated_at":"2026-06-11T01:33:27.132293+00:00","org":{"slug":"zhipu","name":"Zhipu AI (GLM)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/zhipu","dossier_json_url":"https://onlylabs.fyi/labs/zhipu/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/79dd192e-4c67-474d-b7f1-9d1ea8c12950","signal_json":"https://onlylabs.fyi/signals/79dd192e-4c67-474d-b7f1-9d1ea8c12950/signal.json","source":"https://huggingface.co/zai-org/SCAIL-Preview","lab_dossier":"https://onlylabs.fyi/labs/zhipu","lab_dossier_json":"https://onlylabs.fyi/labs/zhipu/dossier.json","analysis":"https://onlylabs.fyi/analysis/zhipu","analysis_json":"https://onlylabs.fyi/analysis/zhipu/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/zhipu/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":"Zhipu AI (GLM) published zai-org/SCAIL-Preview. 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charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T01:33:27.132293+00:00","bytes":1863,"raw_path":"d0c987700eaae893202cc0ca2e2b1b16ad6c2c2338795b924627d13c6e26088d.md","content_hash":"725858c99e6565366e29966f5b4e56a29e88a745ec60986a53d37f04d4745d68","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: mit --- SCAIL: Towards Studio-Grade Character Animation via In-Context Learning of 3D-Consistent Pose Representations <div align=\"center\"> <a href=\"https://arxiv.org/abs/2512.05905\"> <img src=\"https://img.shields.io/badge/📖%20arXiv-2512.05905-red\"> </a> <a href=\"https://teal024.github.io/SCAIL/\"> <img src=\"https://img.shields.io/badge/🌐%20Project%20Page-green\"> </a> <a href=\"https://github.com/zai-org/SCAIL\"> <img src=\"https://img.shields.io/badge/🐙%20GitHub-Repo-181717?logo=github&logoColor=white\"> </a> </div> This repository contains the model weights for **SCAIL (Studio-Grade Character Animation via In-Context Learning)**, a framework that enables high-fidelity character animation under diverse and challenging conditions, including large motion variations, stylized characters, and multi-character interactions. 🔎 Project Page Check our model architecture design, our video demo, as well as more comparisons against other baselines at [this link](https://teal024.github.io/SCAIL/), more creative examples will be added to the gallery soon. 📋 Note This repository only contains the model weights for the SCAIL model, for model inference and our plan, please refer to..."},"evidence_pages":[{"url":"https://huggingface.co/zai-org/SCAIL-Preview/raw/main/README.md","final_url":"https://huggingface.co/zai-org/SCAIL-Preview/raw/main/README.md","title":"zai-org/SCAIL-Preview model card","http_status":200,"content_type":"text/plain; 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