diff --git a/kernelguard.py b/kernelguard.py
index f086847..eb8830b 100644
--- a/kernelguard.py
+++ b/kernelguard.py
@@ -524,6 +524,23 @@ def _expr_has_tensor_version(expr: ast.AST | None) -> bool:
     )
 
 
+def _function_param_names(fn: ast.FunctionDef | ast.AsyncFunctionDef) -> tuple[str, ...]:
+    names = [arg.arg for arg in fn.args.posonlyargs]
+    names.extend(arg.arg for arg in fn.args.args)
+    names.extend(arg.arg for arg in fn.args.kwonlyargs)
+    if fn.args.vararg is not None:
+        names.append(fn.args.vararg.arg)
+    if fn.args.kwarg is not None:
+        names.append(fn.args.kwarg.arg)
+    return tuple(names)
+
+
+def _depends_on_names(expr: ast.AST | None, names: set[str]) -> bool:
+    if expr is None or not names:
+        return False
+    return bool(_expr_names(expr) & names)
+
+
 _TRIVIAL_GPU_OPS = frozenset({
     "fill_", "zero_", "copy_", "fill", "zero", "record",
 })
@@ -2462,6 +2479,136 @@ def _has_ver(expr: ast.AST | None) -> bool:
     return []
 
 
+def detect_generator_send_replay(code: str | SubmissionFacts) -> list[dict]:
+    """Pattern: persistent primed generator replays yielded state via send()."""
+    facts = ensure_submission_facts(code)
+    tree = facts.ast_tree
+    if tree is None or not isinstance(tree, ast.Module):
+        return []
+
+    functions = {
+        node.name: node
+        for node in tree.body
+        if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef))
+    }
+    generator_builders: dict[str, ast.FunctionDef | ast.AsyncFunctionDef] = {}
+    primed_generators: set[str] = set()
+
+    for stmt in tree.body:
+        if not isinstance(stmt, ast.Assign):
+            continue
+        if len(stmt.targets) != 1 or not isinstance(stmt.targets[0], ast.Name):
+            continue
+        if not isinstance(stmt.value, ast.Call) or not isinstance(stmt.value.func, ast.Name):
+            continue
+        builder = functions.get(stmt.value.func.id)
+        if builder is None:
+            continue
+        if any(isinstance(node, (ast.Yield, ast.YieldFrom)) for node in ast.walk(builder)):
+            generator_builders[stmt.targets[0].id] = builder
+
+    for stmt in tree.body:
+        if not isinstance(stmt, ast.Expr) or not isinstance(stmt.value, ast.Call):
+            continue
+        call = stmt.value
+        if isinstance(call.func, ast.Name) and call.func.id == "next" and len(call.args) == 1:
+            if isinstance(call.args[0], ast.Name) and call.args[0].id in generator_builders:
+                primed_generators.add(call.args[0].id)
+            continue
+        if not (
+            isinstance(call.func, ast.Attribute)
+            and call.func.attr == "send"
+            and isinstance(call.func.value, ast.Name)
+            and call.func.value.id in generator_builders
+            and len(call.args) == 1
+            and isinstance(call.args[0], ast.Constant)
+            and call.args[0].value is None
+        ):
+            continue
+        primed_generators.add(call.func.value.id)
+
+    if not primed_generators:
+        return []
+
+    for node in ast.walk(tree):
+        if not isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef)) or not is_entrypoint_name(node.name):
+            continue
+        params = set(_function_param_names(node))
+        for stmt in node.body:
+            if not isinstance(stmt, ast.Return) or not isinstance(stmt.value, ast.Call):
+                continue
+            call = stmt.value
+            if not (
+                isinstance(call.func, ast.Attribute)
+                and call.func.attr == "send"
+                and isinstance(call.func.value, ast.Name)
+                and call.func.value.id in primed_generators
+                and len(call.args) == 1
+                and _expr_names(call.args[0]) & params
+            ):
+                continue
+
+            builder = generator_builders[call.func.value.id]
+            yielded_names = {
+                child.value.id
+                for child in ast.walk(builder)
+                if isinstance(child, ast.Yield) and isinstance(child.value, ast.Name)
+            }
+            resume_names = {
+                target.id
+                for child in ast.walk(builder)
+                if isinstance(child, ast.Assign)
+                and len(child.targets) == 1
+                and isinstance(child.targets[0], ast.Name)
+                and isinstance(child.value, ast.Yield)
+                for target in child.targets
+            }
+            if not yielded_names or not resume_names:
+                continue
+
+            resume_derived = set(resume_names)
+            changed = True
+            while changed:
+                changed = False
+                for child in ast.walk(builder):
+                    if not isinstance(child, ast.Assign):
+                        continue
+                    if len(child.targets) != 1 or not isinstance(child.targets[0], ast.Name):
+                        continue
+                    if not _depends_on_names(child.value, resume_derived):
+                        continue
+                    if child.targets[0].id in resume_derived:
+                        continue
+                    resume_derived.add(child.targets[0].id)
+                    changed = True
+
+            for child in ast.walk(builder):
+                if not isinstance(child, ast.If):
+                    continue
+                if _expr_names(child.test) & resume_derived:
+                    continue
+                for branch in (child.body, child.orelse):
+                    if not any(
+                        isinstance(stmt, ast.Assign)
+                        and len(stmt.targets) == 1
+                        and isinstance(stmt.targets[0], ast.Name)
+                        and stmt.targets[0].id in yielded_names
+                        and _depends_on_names(stmt.value, resume_derived)
+                        for stmt in branch
+                    ):
+                        continue
+                    return [{
+                        "pattern": "GENERATOR_SEND_REPLAY",
+                        "severity": "critical",
+                        "evidence": (
+                            f"{entrypoint_label(node.name)} replays state from a primed "
+                            f"generator via {call.func.value.id}.send(...)"
+                        ),
+                    }]
+
+    return []
+
+
 RE_OBJECT_ID_DATA = re.compile(r"\bdata_id\s*=\s*id\s*\(\s*data\s*\)")
 RE_RESULT_BANK_SET = re.compile(r"_superbatch_results\s*\[\s*(?:did|data_id)\s*\]\s*=")
 RE_RESULT_BANK_RETURN = re.compile(r"return\s+_superbatch_results\s*\[\s*data_id\s*\]")
@@ -3479,6 +3626,10 @@ class RulePolicy:
         "LAST_CALL_REPLAY", "result_reuse", "hard", AUTO_FILTER, (),
         AMD_MANUAL_LAST_CALL_REPLAY_FIXTURES, "keep",
     ),
+    "GENERATOR_SEND_REPLAY": RulePolicy(
+        "GENERATOR_SEND_REPLAY", "result_reuse", "hard", AUTO_FILTER, (),
+        (), "keep",
+    ),
     "SHAPE_OUTPUT_REPLAY": RulePolicy(
         "SHAPE_OUTPUT_REPLAY", "result_reuse", "hard", AUTO_FILTER, (),
         AMD_PACKAGE_SHAPE_REPLAY_FIXTURES, "keep",
@@ -3762,6 +3913,7 @@ def support_only_patterns(matched_patterns: list[dict]) -> bool:
     detect_decode_mm_ref,
     detect_result_caching,
     detect_last_call_replay,
+    detect_generator_send_replay,
     detect_shape_output_replay,
     detect_timed_input_replay,
     detect_cuda_graph_replay,
@@ -3800,6 +3952,7 @@ def support_only_patterns(matched_patterns: list[dict]) -> bool:
     ("decode_mm_ref", detect_decode_mm_ref),
     ("result_caching", detect_result_caching),
     ("last_call_replay", detect_last_call_replay),
+    ("generator_send_replay", detect_generator_send_replay),
     ("shape_output_replay", detect_shape_output_replay),
     ("timed_input_replay", detect_timed_input_replay),
     ("cuda_graph_replay", detect_cuda_graph_replay),