docs: add 2 cross-cutting sibling datasets to federation table (authorship-strategy + attention-not-self)

README.md

@@ -98,6 +98,8 @@ Contemplative Agent adopts them as an **optional** constitutional preset — a p
 | **[Shimo4228/contemplative-agent](https://huggingface.co/datasets/Shimo4228/contemplative-agent)** | **This dataset** — reference implementation; four axioms + memory dynamics |
 | [Shimo4228/agent-knowledge-cycle](https://huggingface.co/datasets/Shimo4228/agent-knowledge-cycle) | Mechanism — six-phase bidirectional growth loop the agent runs over its own logs |
 | [Shimo4228/agent-attribution-practice](https://huggingface.co/datasets/Shimo4228/agent-attribution-practice) | Content — ADRs + Business AI Quadrants on accountability distribution extracted from this agent's operational history |
+| [Shimo4228/authorship-strategy](https://huggingface.co/datasets/Shimo4228/authorship-strategy) | Cross-cutting doctrine — three-axis inversion + four-layer judgment stack for AI-era authorship |
+| [Shimo4228/attention-not-self](https://huggingface.co/datasets/Shimo4228/attention-not-self) | Cross-cutting — Buddhist Abhidharma meets computational phenomenology |
 | [Shimo4228/research-program-hub](https://huggingface.co/datasets/Shimo4228/research-program-hub) | Federation index — entry point for crawlers; hops between sibling datasets via `siblingOf` / `derivesFrom` edges |
 
 ## Citation