diff --git a/KLR/NKI/Simplify.lean b/KLR/NKI/Simplify.lean
index c473fc4f..f32fc148 100644
--- a/KLR/NKI/Simplify.lean
+++ b/KLR/NKI/Simplify.lean
@@ -58,7 +58,7 @@ private def value : Python.Const -> Simplify Value
   | .float f => return .float f
   | .string s => return .string s
   | .ellipsis => throw "invalid use of ellipsis"
-  | .tensor s dty => return .tensor s dty none
+  | .tensor s dty name => return .tensor s dty name
 
 private def strValue (e : Python.Expr) : Simplify String :=
   withPos e.pos do
diff --git a/KLR/Python.lean b/KLR/Python.lean
index 2776af51..c232e391 100644
--- a/KLR/Python.lean
+++ b/KLR/Python.lean
@@ -42,7 +42,8 @@ inductive Const where
   | string (value : String)
   | ellipsis
   -- TODO handle tensor data as well
-  | tensor (shape : List Nat) (dtype : String)
+  -- name is the path to the tensor in the argument structure (e.g., "x.0.attr.1")
+  | tensor (shape : List Nat) (dtype : String) (name : Option String := none)
   deriving BEq, FromCBOR, FromJson, FromSexp, Repr, ToCBOR, ToJson, ToSexp
 
 /-
diff --git a/KLR/Trace/NKI.lean b/KLR/Trace/NKI.lean
index b5ccf01a..5020816d 100644
--- a/KLR/Trace/NKI.lean
+++ b/KLR/Trace/NKI.lean
@@ -565,8 +565,10 @@ private def processArgs (args : List Arg) : Trace (List Value × List Keyword) :
   let (inputs, kws) <- args.foldlM (init := ([], [])) fun (inputs, kws) ⟨name, e⟩ => do
     modify fun s => {s with tensorNames := s.tensorNames.insert name}
     match e with
-    | ⟨ .value (.tensor s d _), pos ⟩ =>
-      let t := .tensor s d name
+    | ⟨ .value (.tensor s d tensorName), pos ⟩ =>
+      -- Use the embedded tensor name if available, otherwise use the argument name
+      let finalName := tensorName.getD name
+      let t := .tensor s d finalName
       let e' := ⟨ .value t, pos ⟩
       return (t :: inputs, .mk name e' :: kws)
     | _ => return (inputs, .mk name e :: kws)
diff --git a/interop/klr/gather.c b/interop/klr/gather.c
index c161449c..38106d06 100644
--- a/interop/klr/gather.c
+++ b/interop/klr/gather.c
@@ -378,7 +378,7 @@ static lean_object* tensor_const(struct state *st, PyObject *obj) {
   dty = py_strdup(st, dstr);
   Py_DECREF(dstr);
 
-  return Python_Const_tensor(sh, dty);
+  return Python_Const_tensor(sh, dty, mkNone());
 
 error:
   if (sh) lean_dec(sh);
@@ -387,6 +387,38 @@ static lean_object* tensor_const(struct state *st, PyObject *obj) {
   return Python_Const_none;
 }
 
+// Handle tensor objects with a name (return Const)
+static lean_object* tensor_const_named(struct state *st, PyObject *obj, lean_object *name) {
+  lean_object *sh = NULL;
+  lean_object *dty = NULL;
+
+  if (!obj) goto error;
+
+  PyObject *shape = PyObject_GetAttrString(obj, "shape");
+  if (!shape) goto error;
+  sh = nat_list(st, shape);
+  Py_DECREF(shape);
+
+  PyObject *dtype = PyObject_GetAttrString(obj, "dtype");
+  if (!dtype) goto error;
+
+  PyObject *dstr = PyObject_Str(dtype);
+  Py_DECREF(dtype);
+  if (!dstr) goto error;
+
+  dty = py_strdup(st, dstr);
+  Py_DECREF(dstr);
+
+  return Python_Const_tensor(sh, dty, mkSome(name));
+
+error:
+  if (sh) lean_dec(sh);
+  if (dty) lean_dec(dty);
+  if (name) lean_dec(name);
+  error(st, "could not convert tensor value");
+  return Python_Const_none;
+}
+
 // This function never raises exceptions
 // Returns a new reference
 static PyObject* get_numpy_generic_dtype() {
@@ -627,6 +659,277 @@ static lean_object* const_exprs(struct state *st, PyObject *obj) {
   return const_list(st, obj, const_expr);
 }
 
+// ============================================================================
+// Path-aware constant expression conversion for tensor naming
+// These functions track the path through nested structures to name tensors
+// ============================================================================
+
+// Forward declarations for path-aware functions
+static lean_object* const_expr_with_path(struct state *st, PyObject *obj, lean_object *path);
+static lean_object* const_exprs_with_path(struct state *st, PyObject *obj, lean_object *path);
+static lean_object* const_dict_with_path(struct state *st, PyObject *obj, lean_object *path);
+static lean_object* const_dict_values_with_path(struct state *st, PyObject *obj, lean_object *path);
+
+// Helper to append index to path: "path.idx"
+static lean_object* make_path_with_index(lean_object *base, Py_ssize_t idx) {
+  char buf[32];
+  snprintf(buf, sizeof(buf), ".%zd", idx);
+  lean_object *suffix = lean_mk_string(buf);
+  lean_object *res = lean_string_append(base, suffix);
+  lean_dec(suffix);
+  return res;
+}
+
+// Helper to append key to path: "path.key"
+static lean_object* make_path_with_key(struct state *st, lean_object *base, PyObject *key) {
+  lean_object *dot = lean_mk_string(".");
+  lean_object *key_str = py_strdup(st, key);
+  lean_object *tmp = lean_string_append(base, dot);
+  lean_object *res = lean_string_append(tmp, key_str);
+  lean_dec(dot);
+  lean_dec(key_str);
+  lean_dec(tmp);
+  return res;
+}
+
+// returns Expr - path-aware version that names tensors with their path
+static lean_object* const_expr_with_path(struct state *st, PyObject *obj, lean_object *path) {
+  lean_object *pos = curPos(st);
+  lean_object *e = NULL;
+  PyObject *numpy_dt = NULL;
+
+  if (!obj) {
+    error(st, "could not convert constant expression");
+    lean_dec(path);
+  }
+  else if (PyTuple_Check(obj)) {
+    lean_object *l = const_exprs_with_path(st, obj, path);
+    e = Python_Expr_mk(Python_Expr_tuple(l, Python_Ctx_load), pos);
+  }
+  else if (PyList_Check(obj)) {
+    lean_object *l = const_exprs_with_path(st, obj, path);
+    e = Python_Expr_mk(Python_Expr_list(l, Python_Ctx_load), pos);
+  }
+  else if (PyDict_Check(obj)) {
+    PyObject *keys = PyDict_Keys(obj);
+    PyObject *vals = PyDict_Values(obj);
+
+    // For dict values, we need to track keys in the path
+    lean_object *l_keys = const_exprs(st, keys);  // keys don't need path tracking
+    lean_object *l_vals = const_dict_values_with_path(st, obj, path);
+
+    Py_XDECREF(keys);
+    Py_XDECREF(vals);
+
+    e = Python_Expr_mk(Python_Expr_dict(l_keys, l_vals), pos);
+  }
+  else if (PyModule_Check(obj)) {
+    PyObject *name = PyModule_GetNameObject(obj);
+    e = Python_Expr_mk(Python_Expr_name(py_strdup(st, name), Python_Ctx_load), pos);
+    lean_dec(path);
+  }
+  else if (is_tensor(obj)) {
+    // Use the path as the tensor name
+    lean_object *c = tensor_const_named(st, obj, path);
+    e = Python_Expr_mk(Python_Expr_const(c), pos);
+    // path ownership transferred to tensor_const_named
+  }
+  else if (is_numpy_dtype(obj)) {
+    const char* nki_dtype = suggest_nki_dtype(obj);
+    if (nki_dtype) {
+      error(st, "numpy dtypes are not supported as arguments. Use %s instead", nki_dtype);
+    } else {
+      error(st, "numpy dtypes are not supported as arguments");
+    }
+    lean_dec(path);
+  }
+  else if ((numpy_dt = numpy_dtype_instance(obj)) && numpy_dt) {
+    const char* nki_dtype = suggest_nki_dtype(numpy_dt);
+    if (nki_dtype) {
+      error(st, "numpy dtypes are not supported as arguments. Use %s instead", nki_dtype);
+      Py_DECREF(numpy_dt);
+    } else {
+      error(st, "numpy dtypes are not supported as arguments");
+    }
+    lean_dec(path);
+  }
+  else if (PyFunction_Check(obj)) {
+    lean_object *func_name = py_def_name(st, obj);
+    if (!st->ignore_refs) {
+      add_work(st, NULL, obj);
+    }
+    e = Python_Expr_mk(Python_Expr_name(func_name, Python_Ctx_load), pos);
+    lean_dec(path);
+  }
+  else if (PyObject_HasAttrString(obj, "__class__") &&
+           PyObject_HasAttrString(obj, "__dict__"))
+  {
+    // general object types - recurse into __dict__ with path
+    PyObject *cls = PyObject_GetAttrString(obj, "__class__");
+    PyObject *dict = PyObject_GetAttrString(obj, "__dict__");
+
+    lean_object *cls_name = py_def_name(st, cls);
+    lean_object *l_dict = const_dict_with_path(st, dict, path);
+    Py_XDECREF(dict);
+
+    add_work(st, NULL, cls);
+    e = Python_Expr_mk(Python_Expr_object(cls_name, l_dict), pos);
+    // path ownership transferred to const_dict_with_path
+  }
+  else {
+    e = Python_Expr_mk(Python_Expr_const(value(st, obj)), pos);
+    lean_dec(path);
+  }
+
+  if (!e)
+    e = Python_Expr_mk(Python_Expr_const(Python_Const_none), pos);
+  return e;
+}
+
+// returns List Expr - path-aware version for lists/tuples
+static lean_object* const_exprs_with_path(struct state *st, PyObject *obj, lean_object *path) {
+  if (!obj) {
+    lean_dec(path);
+    return mkNil();
+  }
+
+  Py_ssize_t sz = PyObject_Length(obj);
+  if (sz <= 0) {
+    lean_dec(path);
+    return mkNil();
+  }
+
+  lean_object *arr = lean_alloc_array(0, sz);
+
+  for (Py_ssize_t i = 0; i < sz; i++) {
+    PyObject *key = PyLong_FromLong(i);
+    if (!key) {
+      error(st, "could not construct Long Object for key %ld", i);
+      break;
+    }
+
+    PyObject *item = PyObject_GetItem(obj, key);
+    Py_DECREF(key);
+    if (!item) {
+      error(st, "could not get sequence item number %ld", i);
+      break;
+    }
+
+    // Create path for this element: path.i
+    lean_inc(path);
+    lean_object *item_path = make_path_with_index(path, i);
+    lean_object *e = const_expr_with_path(st, item, item_path);
+    Py_DECREF(item);
+    if (e)
+      arr = lean_array_push(arr, e);
+  }
+  lean_dec(path);
+  return lean_array_to_list(arr);
+}
+
+// returns List Expr - path-aware version for dict values
+static lean_object* const_dict_values_with_path(struct state *st, PyObject *obj, lean_object *path) {
+  if (!obj) {
+    lean_dec(path);
+    return mkNil();
+  }
+
+  lean_object *arr = lean_mk_empty_array();
+
+  Py_ssize_t pos = 0;
+  PyObject *key, *val;
+  while (PyDict_Next(obj, &pos, &key, &val)) {
+    // Create path for this value: path.key
+    lean_inc(path);
+    lean_object *val_path = make_path_with_key(st, path, key);
+    lean_object *e = const_expr_with_path(st, val, val_path);
+    arr = lean_array_push(arr, e);
+  }
+  lean_dec(path);
+  return lean_array_to_list(arr);
+}
+
+// Returns List Keyword - path-aware version for object __dict__
+static lean_object* const_dict_with_path(struct state *st, PyObject *obj, lean_object *path) {
+  if (!obj) {
+    error(st, "could not convert dictionary");
+    lean_dec(path);
+    return mkNil();
+  }
+
+  lean_object *arr = lean_mk_empty_array();
+  lean_object *l_pos = curPos(st);
+
+  Py_ssize_t pos = 0;
+  PyObject *key, *val;
+  while (PyDict_Next(obj, &pos, &key, &val)) {
+    lean_object *s = py_strdup(st, key);
+    // Create path for this attribute: path.key
+    lean_inc(path);
+    lean_object *val_path = make_path_with_key(st, path, key);
+    lean_object *e = const_expr_with_path(st, val, val_path);
+    arr = lean_array_push(arr, Python_Keyword_mk(mkOption(s), e, l_pos));
+  }
+  lean_dec(path);
+  return lean_array_to_list(arr);
+}
+
+// Process positional args with path tracking
+// Returns List Expr where tensors have names like "arg0", "arg1.0", "arg2.attr.0", etc.
+static lean_object* const_args_with_paths(struct state *st, PyObject *args) {
+  if (!args || args == Py_None) return mkNil();
+
+  Py_ssize_t sz = PyObject_Length(args);
+  if (sz <= 0) return mkNil();
+
+  lean_object *arr = lean_alloc_array(0, sz);
+
+  for (Py_ssize_t i = 0; i < sz; i++) {
+    PyObject *key = PyLong_FromLong(i);
+    if (!key) {
+      error(st, "could not construct Long Object for key %ld", i);
+      break;
+    }
+
+    PyObject *item = PyObject_GetItem(args, key);
+    Py_DECREF(key);
+    if (!item) {
+      error(st, "could not get argument number %ld", i);
+      break;
+    }
+
+    // Create base path for this argument: "arg<i>"
+    char buf[32];
+    snprintf(buf, sizeof(buf), "arg%zd", i);
+    lean_object *path = lean_mk_string(buf);
+    lean_object *e = const_expr_with_path(st, item, path);
+    Py_DECREF(item);
+    if (e)
+      arr = lean_array_push(arr, e);
+  }
+  return lean_array_to_list(arr);
+}
+
+// Process keyword args with path tracking
+// Returns List Keyword where tensors have names like "x", "x.0", "x.attr.0", etc.
+static lean_object* const_kwargs_with_paths(struct state *st, PyObject *kws) {
+  if (!kws || kws == Py_None) return mkNil();
+
+  lean_object *arr = lean_mk_empty_array();
+  lean_object *l_pos = curPos(st);
+
+  Py_ssize_t pos = 0;
+  PyObject *key, *val;
+  while (PyDict_Next(kws, &pos, &key, &val)) {
+    lean_object *s = py_strdup(st, key);
+    // Use the keyword name as the base path
+    lean_object *path = py_strdup(st, key);
+    lean_object *e = const_expr_with_path(st, val, path);
+    arr = lean_array_push(arr, Python_Keyword_mk(mkOption(s), e, l_pos));
+  }
+  return lean_array_to_list(arr);
+}
+
 // returns Nat
 static lean_object* const_nat(struct state *st, PyObject *obj) {
   unsigned res = 0;
@@ -1718,9 +2021,10 @@ PyObject* specialize(
 
   // add main function to work list, and process arguments
   // potentially adding more dependencies to the work list
+  // Use path-aware functions to name tensors based on their location in the argument structure
   add_work(&st, NULL, k->f);
-  lean_object *l_args = args == Py_None ? mkNil() : const_exprs(&st, args);
-  lean_object *l_kwargs = kws == Py_None ? mkNil() : const_dict(&st, kws);
+  lean_object *l_args = args == Py_None ? mkNil() : const_args_with_paths(&st, args);
+  lean_object *l_kwargs = kws == Py_None ? mkNil() : const_kwargs_with_paths(&st, kws);
 
   while (true) {
     struct worklist *work = st.work;
diff --git a/interop/klr/lean_ast.h b/interop/klr/lean_ast.h
index 12686b10..c7f771c3 100644
--- a/interop/klr/lean_ast.h
+++ b/interop/klr/lean_ast.h
@@ -4,7 +4,7 @@ lean_object* Python_Const_bool(uint8_t);
 lean_object* Python_Const_int(lean_object*);
 lean_object* Python_Const_float(double);
 lean_object* Python_Const_string(lean_object*);
-lean_object* Python_Const_tensor(lean_object*,lean_object*);
+lean_object* Python_Const_tensor(lean_object*,lean_object*,lean_object*);
 extern lean_object* Python_Const_none;
 extern lean_object* Python_Const_ellipsis;
 lean_object* Python_Keyword_mk(lean_object*,lean_object*,lean_object*);