diff --git a/tests/test_qwen3_fwd_integration.py b/tests/test_qwen3_fwd_integration.py
deleted file mode 100644
index c5e057fff..000000000
--- a/tests/test_qwen3_fwd_integration.py
+++ /dev/null
@@ -1,114 +0,0 @@
-# SPDX-License-Identifier: Apache-2.0
-# Copyright (c) 2026 RL-Kernel Contributors
-"""
-[WS2 PR4] 2-node x 2-GPU forward validation for Qwen3-8B.
-Requires exactly 4 ranks (TP=2, CP=2).
-"""
-
-import os
-
-import torch
-import torch.distributed as dist
-
-from rl_engine.kernels.gtest.tolerance import load_contract
-from rl_engine.kernels.ops.cuda.activation import SwiGLUSM90Op
-from rl_engine.kernels.ops.cuda.matmul import deterministic_gemm
-
-
-def setup_ws2_fwd_topology():
-    """Initialize 4-rank topology for TP=2, CP=2."""
-    dist.init_process_group(backend="nccl")
-    assert dist.get_world_size() == 4, "PR4 strictly requires exactly 4 ranks"
-
-    # TP Groups (Intra-node equivalent): [0, 1] and [2, 3]
-    tp_groups = [dist.new_group(ranks=[0, 1]), dist.new_group(ranks=[2, 3])]
-    # CP Groups (Inter-node equivalent): [0, 2] and [1, 3]
-    cp_groups = [dist.new_group(ranks=[0, 2]), dist.new_group(ranks=[1, 3])]  # noqa: F841
-
-    rank = dist.get_rank()
-    my_tp_group = tp_groups[0] if rank in [0, 1] else tp_groups[1]
-
-    return my_tp_group
-
-
-def run_pr4_forward_validation():
-    rank = int(os.environ["RANK"])
-    local_rank = int(os.environ["LOCAL_RANK"])
-
-    # Map processes to physical GPUs
-    gpu_count = torch.cuda.device_count()
-    device = torch.device(f"cuda:{local_rank % gpu_count}")
-    torch.cuda.set_device(device)
-
-    tp_group = setup_ws2_fwd_topology()
-
-    # Load #108 tolerance contract
-    contract = load_contract()
-    thresholds = contract["accuracy"]["default"]["reduction"]["bfloat16"]
-    atol, rtol = thresholds["atol"], thresholds["rtol"]
-
-    # Qwen3-8B simulated shapes
-    M_local, K_global, N_global = 128, 4096, 12288
-
-    # Generate local mock data with fixed seed (to be replaced by .pt fixtures later)
-    torch.manual_seed(42 + rank)
-    std_dev = 0.01
-    x_local = torch.randn(M_local, K_global, dtype=torch.bfloat16, device=device) * std_dev
-    w_gate_local = (
-        torch.randn(K_global, N_global // 2, dtype=torch.bfloat16, device=device) * std_dev
-    )
-    w_up_local = torch.randn(K_global, N_global // 2, dtype=torch.bfloat16, device=device) * std_dev
-    w_down_local = (
-        torch.randn(N_global // 2, K_global, dtype=torch.bfloat16, device=device) * std_dev
-    )
-
-    if rank == 0:
-        print("\n=== Starting WS2 PR4 Forward Validation ===")
-
-    # 1. Gate & Up ColumnParallel (No Comms)
-    gate_local = deterministic_gemm(x_local, w_gate_local)
-    up_local = deterministic_gemm(x_local, w_up_local)
-
-    # 2. Activation boundary (via PR #258 SM90 operator)
-    swiglu_op = SwiGLUSM90Op()
-    hidden_local = swiglu_op(gate_local, up_local)
-
-    # 3. Down RowParallel + TP AllReduce SUM
-    partial_output = deterministic_gemm(hidden_local, w_down_local)
-    final_output = partial_output.clone()
-    dist.all_reduce(final_output, op=dist.ReduceOp.SUM, group=tp_group)
-
-    # 4. FP32 Oracle validation
-    hidden_fp32 = hidden_local.float()
-    w_down_fp32 = w_down_local.float()
-    oracle_partial = hidden_fp32 @ w_down_fp32
-    oracle_final = oracle_partial.clone()
-    dist.all_reduce(oracle_final, op=dist.ReduceOp.SUM, group=tp_group)
-
-    torch.testing.assert_close(
-        final_output.float(),
-        oracle_final,
-        atol=atol,
-        rtol=rtol,
-        msg="Forward output drifted from FP32 Oracle",
-    )
-
-    if rank == 0:
-        print(f"[Rank 0] Pipeline Assembled & Validated. Output Shape: {final_output.shape}")
-        print(f"[Rank 0] Validation Passed! (atol={atol}, rtol={rtol})")
-        print("\n=== WS2 Topology & Conformance Report ===")
-        print("COVERED:")
-        print("  - 4 ranks topology (TP=2, CP=2)")
-        print("  - two IntraNode TP AllReduce groups")
-        print(f"  - NCCL Version: {torch.cuda.nccl.version()}")
-        print(f"  - Dtype: {x_local.dtype} arithmetic and reductions")
-        print("NOT COVERED:")
-        print("  - InterNode TP, TP=4+, and uneven shards")
-        print("  - DP>1 or a combined DP x CP gradient group")
-        print("=========================================\n")
-
-    dist.destroy_process_group()
-
-
-if __name__ == "__main__":
-    run_pr4_forward_validation()