card: add Related work — capability buckets / model routing / loop shapes

README.md

@@ -106,6 +106,23 @@ predicted execute), "Why have I been so tired lately?" (diagnose, predicted conv
 - Continuations require the caller to supply the continued request in the state.
 - Not a safety classifier — do not use for guardrails or moderation.
 
+## Related work
+
+Small-model routing exists on two other axes, both public on the Hub:
+
+- **Capability buckets** — e.g. [ai-systems/agent-task-classifier](https://huggingface.co/ai-systems/agent-task-classifier),
+  a TF-IDF reference model over tool/subsystem categories (browser, retrieval, verification, …).
+  It answers *which capability a task needs*.
+- **Model-choice routing** — e.g. [subhash4face/agentic-ai-routing-task-classifier](https://huggingface.co/subhash4face/agentic-ai-routing-task-classifier),
+  a DeBERTa fine-tune over LLM task types (QA, coding, summarization, long-context, …).
+  It answers *which model should handle a prompt*.
+
+This model answers a third question: **which execution loop the task demands** — the only one of the
+three that decides how the agent's own work should proceed (phases, iteration driver, exit
+criteria) rather than which resource to engage. Capability and loop are orthogonal — a `diagnose`
+task may need retrieval tools, a `conversation` task may need none — and in an agent harness the
+loop decision is the routing decision that determines everything downstream.
+
 ## Training data provenance
 
 MultiWOZ 2.1 (research use, MIT-licensed distribution) · MASSIVE en-US (CC-BY-4.0, Amazon) ·