diff --git a/python/sglang/multimodal_gen/runtime/distributed/parallel_state.py b/python/sglang/multimodal_gen/runtime/distributed/parallel_state.py
index acc4bafc6..cc596e817 100644
--- a/python/sglang/multimodal_gen/runtime/distributed/parallel_state.py
+++ b/python/sglang/multimodal_gen/runtime/distributed/parallel_state.py
@@ -171,7 +171,9 @@ def _sync_srt_tp_group() -> None:
     published `srt` config cannot answer: `gpu_worker.py` publishes a dummy
     carrying *this* package's `tp_size`, which a sequence-parallel launch sets
     to 1 while the group lent here is as wide as the world. So the widths are
-    stamped alongside the group, as `srt.initialize_model_parallel` does.
+    permanently overridden alongside the group -- this runs with no `srt`
+    config published at all, which is exactly why it cannot go through
+    `RuntimeContext.override` (it requires one).
 
     Only tensor parallelism folds this way, so every other dimension is one.
     """
@@ -183,7 +185,7 @@ def _sync_srt_tp_group() -> None:
     if srt_parallel_state._ATTN_TP is None:
         srt_parallel_state._ATTN_TP = _TP
     if srt_parallel_state._ATTN_TP is _TP:
-        get_parallel().stamp_derived_widths(
+        get_parallel().override_permanently(
             **derive_parallel_widths(
                 tp_size=_TP.world_size,
                 attn_cp_size=1,
@@ -192,7 +194,7 @@ def _sync_srt_tp_group() -> None:
                 moe_dp_size=1,
                 dcp_size=1,
                 dcp_enabled=False,
-            )
+            ),
         )
 
 
diff --git a/python/sglang/srt/disaggregation/encoder/server.py b/python/sglang/srt/disaggregation/encoder/server.py
index f31b466ba..68877a0ed 100644
--- a/python/sglang/srt/disaggregation/encoder/server.py
+++ b/python/sglang/srt/disaggregation/encoder/server.py
@@ -590,7 +590,10 @@ class MMEncoder:
             distributed_init_method=dist_init_method,
             local_rank=rank,
         )
-        initialize_model_parallel(tensor_model_parallel_size=get_parallel().tp_size)
+        initialize_model_parallel(
+            tensor_model_parallel_size=get_parallel().tp_size,
+            attention_context_model_parallel_size=get_parallel().attn_cp_size,
+        )
         initialize_dp_attention(server_args, self.model_config)
 
         self.model = load_model(
diff --git a/python/sglang/srt/distributed/parallel_state.py b/python/sglang/srt/distributed/parallel_state.py
index 3a8a74022..64e0ec26b 100644
--- a/python/sglang/srt/distributed/parallel_state.py
+++ b/python/sglang/srt/distributed/parallel_state.py
@@ -2832,8 +2832,6 @@ def initialize_model_parallel(
             group_name="self_pp",
         )
 
-    get_parallel().stamp_derived_widths(**derived_widths)
-
 
 def create_custom_parallel_group(
     group_ranks: List[int], backend: str = "gloo"
diff --git a/python/sglang/srt/layers/dp_attention.py b/python/sglang/srt/layers/dp_attention.py
index 62a981f3c..71a937bd0 100644
--- a/python/sglang/srt/layers/dp_attention.py
+++ b/python/sglang/srt/layers/dp_attention.py
@@ -71,7 +71,7 @@ def update_dp_attention_post_scale(new_dp_size: int, new_dp_rank: int):
     global _ATTN_DP_SIZE, _ATTN_DP_RANK
     _ATTN_DP_SIZE = new_dp_size
     _ATTN_DP_RANK = new_dp_rank
-    get_parallel().stamp_derived_widths(attn_dp_size=new_dp_size)
+    get_parallel().override_permanently(attn_dp_size=new_dp_size)
     get_flags().dp.use_world_group_for_gather = True
     logger.debug(
         "[Elastic EP] dp_attention switched to WORLD: dp_size=%d dp_rank=%d",
@@ -350,7 +350,8 @@ def compute_dp_attention_world_info(
     """This rank's place in the attention topology, plus the widths it sits in.
 
     The widths come from `derive_attention_widths`; what this adds is the two
-    ranks, which are per-process and so are not part of the stamped set.
+    ranks, which are per-process and so are not among the widths
+    `override_permanently` records.
     """
     attn_dp_size, attn_tp_size = derive_attention_widths(
         tp_size=tp_size,
@@ -391,7 +392,7 @@ def initialize_dp_attention(
     _, _, _ATTN_DP_RANK, _ATTN_DP_SIZE = compute_dp_attention_world_info(
         enable_dp_attention, tp_rank, tp_size, dp_size, attn_cp_size
     )
-    get_parallel().stamp_derived_widths(attn_dp_size=_ATTN_DP_SIZE)
+    get_parallel().override_permanently(attn_dp_size=_ATTN_DP_SIZE)
 
     if get_exec().moe.elastic_ep_backend is not None and get_parallel().max_ep_size:
         _ATTN_DP_RANK = tp_rank + get_parallel().ep_join_rank_offset
diff --git a/python/sglang/srt/runtime_context.py b/python/sglang/srt/runtime_context.py
index b611988e2..559989ee8 100644
--- a/python/sglang/srt/runtime_context.py
+++ b/python/sglang/srt/runtime_context.py
@@ -164,7 +164,7 @@ def derive_parallel_widths(
 
     `world_size` is not among them: it is not a quotient, and `get_world_size()`
     answers with the live WORLD group, which stays right through an elastic
-    scale-up that a stamp taken at group build would not survive.
+    scale-up that a value fixed at group build would not survive.
     """
     return {
         "attn_dp_size": attn_dp_size,
@@ -268,7 +268,7 @@ class ParallelContext:
     def __init__(self):
         self._overrides = {}
         self._config = None  # parallel config bag, wired at publish
-        self._derived = {}  # widths stamped when the groups are built
+        self._derived = {}  # widths overridden permanently, as the groups are built
 
     def __getattr__(self, name):
         if name.startswith("_"):
@@ -291,14 +291,17 @@ class ParallelContext:
         overrides = self._overrides
         return overrides[name] if name in overrides else getter()
 
-    def stamp_derived_widths(self, **widths) -> None:
-        """Record the widths derived from the leaves, as the groups are built.
+    def override_permanently(self, **widths) -> None:
+        """Permanently correct a derived width the published bag can't answer
+        or no longer answers correctly -- not `RuntimeContext.override`,
+        because a derived width is not a resolved config leaf and this must
+        work with no config published at all (`multimodal_gen` lends a TP
+        group to `srt` layers with no `srt` config to publish against).
 
-        `initialize_model_parallel` computes the set through
-        `derive_parallel_widths` and hands it here; `initialize_dp_attention`
-        stamps `attn_dp_size` again once it knows the effective width, and
-        elastic EP restamps it where it already updates the live one. A stamped
-        width is what the readers answer with.
+        Lives beside, not inside, the `@contextmanager` `override` above -- a
+        name it cannot also have on this class -- because these are permanent
+        for the process, not scoped to a `with` block: none of the real
+        callers ever restore the value they set here.
         """
         self._derived.update(widths)
 
@@ -306,13 +309,13 @@ class ParallelContext:
         self._derived.clear()
 
     def _derived_width(self, name):
-        """A width the configuration implies: override, else stamp, else the
-        published leaf.
+        """A width the configuration implies: scoped override, else permanent
+        override, else the published leaf.
 
-        The leaf is computed at publish by `parallel_widths_of`; the stamp sits
-        above it because an elastic scale-up restamps `attn_dp_size` after
-        publish, and a scope that swaps in another TP group states the quotients
-        through `override`.
+        The leaf is computed at publish by `parallel_widths_of`; the permanent
+        override sits above it because an elastic scale-up corrects
+        `attn_dp_size` after publish, and a scope that swaps in another TP
+        group states the quotients through the scoped `override` above that.
 
         Nothing is recomputed on read, so overriding `tp_size` does not move
         `attn_tp_size`: name the width, or publish a config.
@@ -328,10 +331,10 @@ class ParallelContext:
             return getattr(config, name)
         raise RuntimeError(
             f"derived parallel width {name!r} is not available: it is computed "
-            "from the configured leaves at publish, and restamped when the "
-            "process groups are built. Nothing is published and nothing has "
-            "been stamped -- publish a parallel config, or state the width "
-            f"with get_parallel().override({name}=...)"
+            "from the configured leaves at publish, and permanently corrected "
+            "when the process groups are built. Nothing is published and "
+            "nothing has been set with override_permanently -- publish a "
+            f"parallel config, or state the width with get_parallel().override({name}=...)"
         )
 
     @contextmanager
@@ -1754,9 +1757,10 @@ def reset_context() -> None:
     """Clear the context-owned store (unit-test teardown): drop the published
     ``server_args`` and install fresh ``Flags`` and ``Resources``.
 
-    ``parallel`` holds the stamped derived widths, which go with the lifecycle
-    that stamped them: `_derived_width` prefers the stamp over the leaves, so
-    leaving one behind lets the next test read the previous topology.
+    ``parallel`` holds the permanently-overridden derived widths, which go
+    with the lifecycle that set them: `_derived_width` prefers them over the
+    published leaves, so leaving one behind lets the next test read the
+    previous topology.
     """
     _CONTEXT._server_args = None
     _CONTEXT._config_bags = None
diff --git a/test/manual/ep/test_flashinfer_dispatcher.py b/test/manual/ep/test_flashinfer_dispatcher.py
index 4847b5c81..707dd5449 100644
--- a/test/manual/ep/test_flashinfer_dispatcher.py
+++ b/test/manual/ep/test_flashinfer_dispatcher.py
@@ -20,14 +20,9 @@ from sglang.test.test_utils import CustomTestCase
 class TestFlashinferDispatcher(CustomTestCase):
     @classmethod
     def setUpClass(cls):
-        server_args = ServerArgs(model_path="dummy")
-        server_args.moe_runner_backend = "flashinfer_cutlass"
-        server_args.moe_a2a_backend = "flashinfer"
-        cls.server_args = server_args
-        set_global_server_args_for_scheduler(server_args)
-        publish(server_args, role="scheduler")
-        initialize_moe_config()
-
+        # Dist-init first: world_size (and so the tp/ep width ServerArgs must
+        # carry) is only known after it, and init_distributed_environment
+        # itself reads no published config.
         init_distributed_environment(
             world_size=-1,  # Auto-detect from environment
             rank=-1,  # Auto-detect from environment
@@ -38,6 +33,17 @@ class TestFlashinferDispatcher(CustomTestCase):
         rank = torch.distributed.get_rank()
         device = torch.device(f"cuda:{rank % torch.cuda.device_count()}")
         torch.cuda.set_device(device)
+
+        server_args = ServerArgs(
+            model_path="dummy", tp_size=world_size, ep_size=world_size
+        )
+        server_args.moe_runner_backend = "flashinfer_cutlass"
+        server_args.moe_a2a_backend = "flashinfer"
+        cls.server_args = server_args
+        set_global_server_args_for_scheduler(server_args)
+        publish(server_args, role="scheduler")
+        initialize_moe_config()
+
         initialize_model_parallel(
             tensor_model_parallel_size=world_size, expert_model_parallel_size=world_size
         )
diff --git a/test/registered/eplb/test_lplb_distributed.py b/test/registered/eplb/test_lplb_distributed.py
index 06037297c..59edf9300 100644
--- a/test/registered/eplb/test_lplb_distributed.py
+++ b/test/registered/eplb/test_lplb_distributed.py
@@ -212,6 +212,13 @@ def _worker_main(local_rank: int, world_size: int):
     set_global_server_args_for_scheduler(
         ServerArgs(
             model_path="dummy",
+            # Match the tp/ep width initialize_model_parallel is about to
+            # build below -- get_parallel()'s derived widths (attn_tp_size,
+            # moe_ep_size, ...) are projected from this at publish time, and
+            # nothing here should leave that projection reflecting a width
+            # this process never actually runs at.
+            tp_size=world_size,
+            ep_size=world_size,
         )
     )
 
diff --git a/test/registered/unit/distributed/test_mmencoder_forwards_attn_cp_size.py b/test/registered/unit/distributed/test_mmencoder_forwards_attn_cp_size.py
new file mode 100644
index 000000000..c94f74b68
--- /dev/null
+++ b/test/registered/unit/distributed/test_mmencoder_forwards_attn_cp_size.py
@@ -0,0 +1,67 @@
+"""MMEncoder must forward attn_cp_size to initialize_model_parallel, not just
+tp_size.
+
+Real 2-GPU hardware confirmed a live mismatch this test guards against
+statically: with `tp_size=2, attn_cp_size=2` published, calling
+`initialize_model_parallel(tensor_model_parallel_size=2)` alone builds the
+live attention-TP group at width 2, while `get_parallel().attn_tp_size`
+(derived from the published config) answers 1 -- `VisionAttention`
+(`layers/attention/vision.py`) reads that derived value as its own
+weight-sharding width, so the mismatch is a real, silent wrong-sharding bug,
+not just a reporting discrepancy. Forwarding
+`attention_context_model_parallel_size=get_parallel().attn_cp_size` too
+makes the two agree (confirmed on the same hardware).
+
+A full `MMEncoder` instantiation needs real weights and a live process
+group, so this checks the one line that matters statically: the call passes
+`attention_context_model_parallel_size` as well as
+`tensor_model_parallel_size`. Not a substitute for testing `MMEncoder`
+end-to-end under `--attn-cp-size > 1` on real hardware, but cheap enough to
+run everywhere and catches the specific regression class (a future edit
+that reverts to the tp-only call).
+"""
+
+import ast
+import os
+
+import sglang.srt.disaggregation.encoder.server as encoder_server_module
+from sglang.test.ci.ci_register import register_cpu_ci
+from sglang.test.test_utils import CustomTestCase
+
+register_cpu_ci(est_time=5, suite="base-a-test-cpu")
+
+
+class TestMMEncoderForwardsAttnCpSize(CustomTestCase):
+    def test_initialize_model_parallel_call_forwards_attn_cp_size(self):
+        path = encoder_server_module.__file__
+        tree = ast.parse(open(path).read())
+        calls = [
+            node
+            for node in ast.walk(tree)
+            if isinstance(node, ast.Call)
+            and isinstance(node.func, ast.Name)
+            and node.func.id == "initialize_model_parallel"
+        ]
+        self.assertEqual(
+            len(calls),
+            1,
+            f"expected exactly one initialize_model_parallel(...) call in "
+            f"{os.path.basename(path)}, found {len(calls)} -- update this "
+            "test if that's now intentional",
+        )
+        kwarg_names = {kw.arg for kw in calls[0].keywords}
+        self.assertIn(
+            "attention_context_model_parallel_size",
+            kwarg_names,
+            "MMEncoder's initialize_model_parallel(...) call must forward "
+            "attention_context_model_parallel_size (not just "
+            "tensor_model_parallel_size), or get_parallel().attn_tp_size "
+            "silently disagrees with the group actually built whenever "
+            "--attn-cp-size > 1 -- confirmed on real 2-GPU hardware",
+        )
+
+
+if __name__ == "__main__":
+    import unittest
+
+    unittest.main()
diff --git a/test/registered/unit/test_runtime_context.py b/test/registered/unit/test_runtime_context.py
index 717f9d838..49e319c86 100644
--- a/test/registered/unit/test_runtime_context.py
+++ b/test/registered/unit/test_runtime_context.py
@@ -1375,7 +1375,8 @@ class TestParallelLeafReads(_IsolatedServerArgs):
 
 
 class TestDerivedWidths(_IsolatedOverrides):
-    """The widths no flag sets are computed from the leaves and stamped.
+    """The widths no flag sets are computed from the leaves and permanently
+    overridable.
 
     `attn_tp_size` and its siblings used to be read back off the group
     coordinator that was built from them, which made the answer depend on
@@ -1390,7 +1391,7 @@ class TestDerivedWidths(_IsolatedOverrides):
         self.addCleanup(
             lambda: (
                 parallel.clear_derived_widths(),
-                parallel.stamp_derived_widths(**self._saved_derived),
+                parallel.override_permanently(**self._saved_derived),
             )
         )
 
@@ -1439,13 +1440,14 @@ class TestDerivedWidths(_IsolatedOverrides):
             get_parallel().attn_tp_size
         self.assertIn("not available", str(caught.exception))
 
-    def test_a_stamp_and_a_live_group_both_win_over_the_leaves(self):
-        """Order is stamp, then live group, then the leaves. Where a group
-        exists it is the truth -- elastic scale-up moves the group without
-        restamping -- so the leaf derivation only answers where there is none.
+    def test_a_permanent_override_and_a_live_group_both_win_over_the_leaves(self):
+        """Order is permanent override, then live group, then the leaves.
+        Where a group exists it is the truth -- elastic scale-up moves the
+        group without a fresh override -- so the leaf derivation only
+        answers where there is none.
         """
         parallel = get_parallel()
-        parallel.stamp_derived_widths(attn_tp_size=7)
+        parallel.override_permanently(attn_tp_size=7)
         self.addCleanup(parallel.clear_derived_widths)
         with parallel.override(tp_size=8, attn_dp_size=2):
             self.assertEqual(parallel.attn_tp_size, 7)
@@ -1464,9 +1466,9 @@ class TestDerivedWidths(_IsolatedOverrides):
         self.assertEqual(widths["moe_tp_size"], 8 // 4 // 2)
         self.assertEqual(widths["attn_dcp_size"], 1)
 
-    def test_the_world_size_is_not_stamped(self):
+    def test_the_world_size_is_not_permanently_overridden(self):
         """It is not a quotient, and the live getter is right at every moment.
-        A stamp taken when the groups are built would answer with the launch
+        A value fixed when the groups are built would answer with the launch
         count after `try_admit_scale_ranks` expands WORLD, and with the joining
         cohort's own width on a scale-joiner, which lays its groups out at
         `tp * pp` while WORLD spans `ep_join_rank_offset + tp * pp`."""
@@ -1481,31 +1483,30 @@ class TestDerivedWidths(_IsolatedOverrides):
         )
         self.assertNotIn("world_size", widths)
         parallel = get_parallel()
-        parallel.stamp_derived_widths(attn_tp_size=4)
+        parallel.override_permanently(attn_tp_size=4)
         with patch(f"{_PS}.get_world_size", return_value=9):
             self.assertEqual(parallel.world_size, 9)
 
-    def test_a_stamped_width_is_what_the_reader_answers_with(self):
+    def test_a_permanently_overridden_width_is_what_the_reader_answers_with(self):
         parallel = get_parallel()
-        parallel.stamp_derived_widths(attn_tp_size=4, moe_tp_size=1)
+        parallel.override_permanently(attn_tp_size=4, moe_tp_size=1)
         with patch(
             f"{_PS}.get_attn_tensor_model_parallel_world_size",
             side_effect=AssertionError("the group must not be asked"),
         ):
             self.assertEqual(parallel.attn_tp_size, 4)
 
-    def test_an_override_still_wins_over_the_stamp(self):
+    def test_a_scoped_override_still_wins_over_the_permanent_one(self):
         parallel = get_parallel()
-        parallel.stamp_derived_widths(attn_tp_size=4)
+        parallel.override_permanently(attn_tp_size=4)
         with parallel.override(attn_tp_size=1):
             self.assertEqual(parallel.attn_tp_size, 1)
         self.assertEqual(parallel.attn_tp_size, 4)
 
     def test_the_group_is_never_consulted(self):
-        """There is no third source. A quotient comes from an override, a stamp
-        or the published leaf -- never from a group coordinator, which could
-        only ever agree, since `initialize_model_parallel` stamps as its last
-        statement."""
+        """There is no third source. A quotient comes from a scoped override, a
+        permanent override, or the published leaf -- never from a group
+        coordinator."""
         reset_context()
         self.addCleanup(reset_context)
         with patch(
@@ -1528,50 +1529,51 @@ class TestDerivedWidths(_IsolatedOverrides):
             with self.assertRaisesRegex(RuntimeError, r"derived parallel width"):
                 get_parallel().attn_tp_size
 
-    def test_a_temporary_disable_beats_the_stamp(self):
+    def test_a_temporary_disable_beats_the_permanent_override(self):
         """`disable_dp_size()` runs a draft scope without DP attention. It moves
         the module global the legacy getter reads, so it has to move the derived
-        width too -- the stamp wins over the live group, and a scope that left
-        it alone would answer with the target model's width for its duration."""
+        width too -- the scoped override wins over the permanent one, and a
+        scope that left it alone would answer with the target model's width
+        for its duration."""
         from sglang.srt.layers import dp_attention
 
         parallel = get_parallel()
-        parallel.stamp_derived_widths(attn_dp_size=4)
+        parallel.override_permanently(attn_dp_size=4)
         with patch.object(dp_attention, "_ATTN_DP_SIZE", 4):
             with dp_attention.disable_dp_size():
                 self.assertEqual(dp_attention.get_attention_dp_size(), 1)
                 self.assertEqual(parallel.attn_dp_size, 1)
             self.assertEqual(parallel.attn_dp_size, 4)
 
-    def test_the_stamp_is_cleared_and_restamped(self):
+    def test_the_permanent_override_is_cleared_and_reset(self):
         parallel = get_parallel()
-        parallel.stamp_derived_widths(attn_dp_size=2)
+        parallel.override_permanently(attn_dp_size=2)
         self.assertEqual(parallel.attn_dp_size, 2)
-        # Elastic scaling restamps where it updates the live width.
-        parallel.stamp_derived_widths(attn_dp_size=4)
+        # Elastic scaling overrides again where it updates the live width.
+        parallel.override_permanently(attn_dp_size=4)
         self.assertEqual(parallel.attn_dp_size, 4)
         parallel.clear_derived_widths()
         with parallel.override(tp_size=8, attn_dp_size=1):
             self.assertEqual(parallel.attn_dp_size, 1)
 
-    def test_reset_context_drops_the_stamp(self):
-        """The stamp belongs to the lifecycle that made it.
+    def test_reset_context_drops_the_permanent_override(self):
+        """The permanent override belongs to the lifecycle that made it.
 
-        `_derived_width` prefers the stamp over the published leaf, so a stamp
-        that outlived `reset_context()` would let the next test read the
-        previous topology.
+        `_derived_width` prefers it over the published leaf, so one that
+        outlived `reset_context()` would let the next test read the previous
+        topology.
         """
         parallel = get_parallel()
-        parallel.stamp_derived_widths(attn_tp_size=4)
+        parallel.override_permanently(attn_tp_size=4)
         self.assertEqual(parallel.attn_tp_size, 4)
         reset_context()
         self.addCleanup(reset_context)
         publish(ServerArgs(model_path="dummy", tp_size=1), role="test")
         self.assertEqual(get_parallel().attn_tp_size, 1)
 
-    def test_the_rank_helper_agrees_with_the_stamp(self):
+    def test_the_rank_helper_agrees_with_the_override(self):
         """`compute_dp_attention_world_info` keeps the ranks and takes the
-        widths from the same derivation the stamp uses."""
+        widths from the same derivation `override_permanently`'s callers use."""
         from sglang.srt.layers.dp_attention import compute_dp_attention_world_info
 
         for tp_size, dp_size, attn_cp_size in ((8, 2, 1), (8, 2, 2), (16, 4, 2)):
@@ -1590,6 +1592,126 @@ class TestDerivedWidths(_IsolatedOverrides):
             self.assertEqual(attn_tp_size, widths["attn_tp_size"])
             self.assertEqual(attn_dp_size, widths["attn_dp_size"])
 
+    def test_recomputing_from_published_leaves_matches_the_publish_bag(self):
+        """`initialize_model_parallel` no longer overrides anything -- see
+        `test_initialize_model_parallel_no_longer_touches_the_bag` below --
+        which makes this the load-bearing half of 16-field-registry-design.md
+        §6e: every real caller must forward leaves that already match its own
+        published config, because nothing corrects a mismatch anymore.
+        `scheduler.py`'s `ps.attn_dp_size`/`ps.moe_ep_size`/etc, and the
+        weight-cache daemon's own already-published config, both do -- this
+        pins that the formula they'd recompute from those leaves
+        (`derive_attention_widths`, `derive_parallel_widths`, the same ones
+        `publish` itself used) agrees with what's already in the bag, across
+        the widths `test_the_rank_helper_agrees_with_the_override` does not
+        vary -- moe_ep_size, moe_dp_size, and dcp_size -- using real
+        `publish()`.
+
+        A caller that does NOT keep the two in sync is a bug in that caller,
+        not something this framework silently corrects: two real ones existed
+        (`test/registered/eplb/test_lplb_distributed.py` and
+        `test/manual/ep/test_flashinfer_dispatcher.py`, both publishing a
+        placeholder config and then building real groups at a width it never
+        reflected) and were fixed by publishing the actual width instead of
+        relying on a correction to paper over the mismatch.
+        """
+        shapes = (
+            dict(tp_size=8),
+            dict(tp_size=8, dp_size=2, enable_dp_attention=True),
+            dict(tp_size=8, ep_size=4, moe_dp_size=2),
+            dict(tp_size=8, dcp_size=8),
+        )
+        for shape in shapes:
+            with self.subTest(shape=shape):
+                reset_context()
+                self.addCleanup(reset_context)
+                publish(ServerArgs(model_path="dummy", **shape), role="test")
+                parallel = get_parallel()
+                published = {
+                    "attn_tp_size": parallel.attn_tp_size,
+                    "attn_dp_size": parallel.attn_dp_size,
+                    "moe_ep_size": parallel.moe_ep_size,
+                    "moe_tp_size": parallel.moe_tp_size,
+                    "dcp_enabled": parallel.dcp_enabled,
+                    "attn_dcp_size": parallel.attn_dcp_size,
+                }
+                # What every real `initialize_model_parallel` caller forwards:
+                # its own already-published leaves, through the same two
+                # functions the bag was projected with.
+                recomputed = derive_parallel_widths(
+                    tp_size=parallel.tp_size,
+                    attn_cp_size=parallel.attn_cp_size,
+                    attn_dp_size=(
+                        parallel.dp_size if parallel.enable_dp_attention else 1
+                    ),
+                    moe_ep_size=parallel.ep_size,
+                    moe_dp_size=parallel.moe_dp_size,
+                    dcp_size=parallel.dcp_size,
+                    dcp_enabled=parallel.dcp_size > 1,
+                )
+                self.assertEqual(published, recomputed)
+
+    def test_initialize_model_parallel_no_longer_touches_the_bag(self):
+        """§6e, landed: `initialize_model_parallel` used to recompute and
+        permanently override the six derived widths on `get_parallel()`
+        after building its groups; that call is gone. Publish a placeholder
+        config (tp_size defaults to 1), then build real groups at a
+        different width -- the published leaf must now stay exactly what it
+        was, because nothing corrects it. This is the behavior a caller
+        relies on being told about, loudly, the first time it publishes and
+        builds inconsistently -- see
+        `test_recomputing_from_published_leaves_matches_the_publish_bag`
+        for why every real caller must not do that.
+        """
+        from unittest.mock import Mock
+
+        from sglang.srt.distributed import parallel_state
+
+        reset_context()
+        self.addCleanup(reset_context)
+        publish(ServerArgs(model_path="dummy"), role="test")
+        self.assertEqual(get_parallel().attn_tp_size, 1)
+        self.assertEqual(get_parallel().moe_ep_size, 1)
+
+        world_size = 8
+        with (
+            patch.object(parallel_state, "_WORLD", None),
+            patch.object(parallel_state, "_TP", None),
+            patch.object(parallel_state, "_DCP", None),
+            patch.object(parallel_state, "_ATTN_CP", None),
+            patch.object(parallel_state, "_ATTN_TP", None),
+            patch.object(parallel_state, "_MOE_DP", None),
+            patch.object(parallel_state, "_MOE_EP", None),
+            patch.object(parallel_state, "_MOE_TP", None),
+            patch.object(parallel_state, "_PP", None),
+            patch.object(parallel_state, "_SELF_PP", None),
+            patch("torch.distributed.is_initialized", return_value=True),
+            patch("torch.distributed.get_world_size", return_value=world_size),
+            patch("torch.distributed.get_rank", return_value=0),
+            patch("torch.distributed.get_backend", return_value="nccl"),
+            patch.object(
+                parallel_state,
+                "init_model_parallel_group",
+                return_value=Mock(device_group=Mock()),
+            ),
+            patch.object(parallel_state, "get_world_group") as mock_world_group,
+        ):
+            mock_world_group.return_value = Mock(device_group=Mock(), local_rank=0)
+            parallel_state.initialize_model_parallel(
+                tensor_model_parallel_size=world_size,
+                expert_model_parallel_size=world_size,
+            )
+        self.addCleanup(parallel_state.destroy_model_parallel)
+
+        self.assertEqual(
+            get_parallel().attn_tp_size,
+            1,
+            "initialize_model_parallel must not touch the published leaf -- "
+            "a caller that needs it corrected must publish a config that "
+            "already matches the width it is about to build",
+        )
+        self.assertEqual(get_parallel().moe_ep_size, 1)
+
 
 class TestTheDerivedHalfIsDeclared(CustomTestCase):
     """The quotients are declared beside the leaves, in the same class.