CoAT research implementation
Research scripts that generate screen descriptions, action reasoning and expected outcomes, then predict Android GUI actions using the resulting Chain-of-Action-Thought context.
AI-assisted editorial review against a primary source. This is a catalog annotation, not an independent reproduction or endorsement.
What is this resource?
- Resource type
- Frameworks
- Environment
- android
- Topics
- planning, mobile-navigation, action-prediction
- Record publication date
- Not recorded
- Evidence retrieved
- 2026-10-17T12:30:53Z
- Resource ID
- github:imnearth/coat
What licenses are recorded?
Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.
- Code
- Not recorded
- Data
- Not recorded
- Document
- Not recorded
- Weights
- Not recorded
License review notes
- Code: Apache-2.0 badge alone does not establish component-scoped source terms; the inspected non-truncated tree has no license file. Source 1 Source 2
Recorded specifications
- availability
- Public CoAT prompting/action-prediction and evaluation source.
- repository revision
- 9ab1a9f0e76581c50c84f8ebc6ada1a2084a0c71
Explore related topics
Scope and limitations
The tree contains run_coat.py and coat/agent.py, model.py and evaluate.py, with API-backed model configuration. This verifies a released annotation/prediction implementation, not a live phone controller or a released checkpoint. AiTZ screens/annotations are linked through external Drive/Baidu bundles whose complete download inventory was not verified here. The README has an Apache-2.0 badge, but no license file or explicit component grant is present; code/data/weight rights remain unestablished.
Related resources
- documented by: Android in the Zoo: Chain-of-Action-Thought for GUI Agents
Primary evidence and verification
Source retrieval is separate from experiment reproduction. Use the original publication or publisher page when citing claims about the resource.
- editorial primary review
Retrieved 2026-10-17T12:30:53Z. Supports: name, kind, summary, environments, topics, scope, notes, relations, licenses.code.
Content fingerprint
7a9fb905b64f2760a137cd267a5e38dd343df1821eda8172b606ab7500d27731 - editorial primary review
Retrieved 2026-10-17T12:30:53Z. Supports: identity.
Content fingerprint
d0c5056c9a74913f84a4f809bf01d9fd9ea325ac0a91b4c4a0a51220b2da9d68 - editorial primary review
Retrieved 2026-10-17T12:32:04Z. Supports: release_status, details.repository_revision, licenses.code.
Content fingerprint
29d84ed12dc25035fd539604b06f6cc113080b389edeb9aa605cfa55c5f28151
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