diff --git a/python/samples/getting_started/orchestrations/README.md b/python/samples/getting_started/orchestrations/README.md
index 14f0be5fad..746f7881ee 100644
--- a/python/samples/getting_started/orchestrations/README.md
+++ b/python/samples/getting_started/orchestrations/README.md
@@ -33,20 +33,17 @@ from agent_framework.orchestrations import (
 | Concurrent Orchestration (Default Aggregator)     | [concurrent_agents.py](./concurrent_agents.py)                                       | Fan-out to multiple agents; fan-in with default aggregator returning combined ChatMessages                       |
 | Concurrent Orchestration (Custom Aggregator)      | [concurrent_custom_aggregator.py](./concurrent_custom_aggregator.py)                 | Override aggregator via callback; summarize results with an LLM                                                  |
 | Concurrent Orchestration (Custom Agent Executors) | [concurrent_custom_agent_executors.py](./concurrent_custom_agent_executors.py)       | Child executors own ChatAgents; concurrent fan-out/fan-in via ConcurrentBuilder                                  |
-| Concurrent Orchestration (Participant Factory)    | [concurrent_participant_factory.py](./concurrent_participant_factory.py)             | Use participant factories for state isolation between workflow instances                                         |
 | Group Chat with Agent Manager                     | [group_chat_agent_manager.py](./group_chat_agent_manager.py)                         | Agent-based manager using `with_orchestrator(agent=)` to select next speaker                                     |
 | Group Chat Philosophical Debate                   | [group_chat_philosophical_debate.py](./group_chat_philosophical_debate.py)           | Agent manager moderates long-form, multi-round debate across diverse participants                                |
 | Group Chat with Simple Function Selector          | [group_chat_simple_selector.py](./group_chat_simple_selector.py)                     | Group chat with a simple function selector for next speaker                                                      |
 | Handoff (Simple)                                  | [handoff_simple.py](./handoff_simple.py)                                             | Single-tier routing: triage agent routes to specialists, control returns to user after each specialist response  |
 | Handoff (Autonomous)                              | [handoff_autonomous.py](./handoff_autonomous.py)                                     | Autonomous mode: specialists iterate independently until invoking a handoff tool using `.with_autonomous_mode()` |
-| Handoff (Participant Factory)                     | [handoff_participant_factory.py](./handoff_participant_factory.py)                   | Use participant factories for state isolation between workflow instances                                         |
 | Handoff with Code Interpreter                     | [handoff_with_code_interpreter_file.py](./handoff_with_code_interpreter_file.py)     | Retrieve file IDs from code interpreter output in handoff workflow                                               |
 | Magentic Workflow (Multi-Agent)                   | [magentic.py](./magentic.py)                                                         | Orchestrate multiple agents with Magentic manager and streaming                                                  |
 | Magentic + Human Plan Review                      | [magentic_human_plan_review.py](./magentic_human_plan_review.py)                     | Human reviews/updates the plan before execution                                                                  |
 | Magentic + Checkpoint Resume                      | [magentic_checkpoint.py](./magentic_checkpoint.py)                                   | Resume Magentic orchestration from saved checkpoints                                                             |
 | Sequential Orchestration (Agents)                 | [sequential_agents.py](./sequential_agents.py)                                       | Chain agents sequentially with shared conversation context                                                       |
 | Sequential Orchestration (Custom Executor)        | [sequential_custom_executors.py](./sequential_custom_executors.py)                   | Mix agents with a summarizer that appends a compact summary                                                      |
-| Sequential Orchestration (Participant Factories)  | [sequential_participant_factory.py](./sequential_participant_factory.py)             | Use participant factories for state isolation between workflow instances                                         |
 
 ## Tips