ATANT Model Card

这是可索引项目报告证据页：它保留 ATANT Model Card 的源材料入口、机制线索和限制提醒；正文仍需 reader/editor 与 academic public-copy review 后才能当作最终结论引用。

ATANT Model Card

1. Role in Self Evolve

ATANT adds an agent-continuity evaluation angle: memory is not only retrieval quality, but whether an agent maintains narrative state and checkpoint continuity.

2. Working Principle

agent narrative checkpoints -> continuity tests -> self/identity drift evidence

3. Evidence Path

web-observed GitHub page showed 15 commits, 3 stars, 0 forks, Python language, continuity benchmark topics, 250 narrative stories, 1,835 verification questions, 10 checkpoints, no LLM in the evaluation loop, arXiv links and Hugging Face corpus link. Shell GitHub API access remained blocked by DNS and local gh auth was invalid, so this card treats the snapshot as web-observed rather than API-verified.

4. Teaching Use

Use this card to explain Agent Continuity Evaluation in the raw -> classification -> project card -> site/report pipeline. It helps distinguish taxonomy evidence, memory substrate evidence and continuity benchmark evidence.

5. Limits

The repository was not cloned in this iteration; no benchmark, SDK example, memory experiment, eval run, skill install flow, agent loop, or production deployment was executed. Counts and claims are visible public-page/search signals unless independently revalidated later.