fix(resolver): identical sampler branches resolve to their shared prompt pair

A LoRA epoch-compare grid runs one sampler per epoch, every one fed by the
same positive encode and the same ConditioningZeroOut negative, and saves
one concatenated image. `_resolve` returned "Multiple sampler branches"
(ambiguous) whenever more than one sampler was found, even though every
branch used the same pair, so the workspace inspector fell back to the
legacy parser and the image could not be paired.

When every branch resolves to identical texts and stored recipes, the
result is now that pair: state resolved, no sampler named (none alone made
the output), reason "Every sampler branch uses the same prompt pair", the
first branch's sides and provenance, and every branch kept in `candidates`
as evidence. A branch that differs, cannot be read, or is not resolved
keeps the result ambiguous. Both profiles share the rule; the default
profile still cannot read ConditioningZeroOut, so the zero-out grid stays
ambiguous for ingestion and keeps the scan's legacy-parser fallback.

Workspace facts: a resolved result without a named sampler over several
listed samplers merges facts per field, as an ambiguous one does (the
grid's shared seed/steps are known, the per-epoch model is ambiguous).

Tests that encoded the old behavior (identical branches => ambiguous):
- test_prompt_pair_resolver: test_multiple_samplers_are_ambiguous_even_when_texts_match
  -> test_multiple_samplers_with_matching_texts_resolve_to_the_shared_pair
  (plus a new differing-texts case that stays ambiguous);
  test_raw_and_detailed_saves_stay_ambiguous_without_an_anchor (same prompt)
  -> ..._of_one_prompt_share_it_without_an_anchor (anchored cases unchanged).
- test_pair_scan: two samplers sharing one prompt now ingest the pair
  ("cat"/"blur") instead of the positive-only fallback.
- test_api_prompt_inspector, test_inspection_outcomes, test_pair_image_linking:
  their "ambiguous" fixtures now use samplers with different prompts.
No parity vector changes (f01/f09 branches are not all resolved).

tests/js/comfy-metadata.test.js

@@ -224,6 +224,22 @@ test("facts use resolution.sampler_id for detailer-stage nodes", () => {
     assert.ok(Object.values(factsFor(wide, { resolution: { state: "ambiguous", sampler_id: "d" } })).every(fact => fact.status === "unresolved"), "the stage walk is bounded by MAX_VISITS");
 });
 
+test("a shared pair resolved across sampler branches merges facts per field (#249)", () => {
+    // The server resolves identical branches with no sampler named: settings the
+    // branches agree on are known, those they differ on (a LoRA per epoch) are ambiguous.
+    const shared = { resolution: { state: "resolved", sampler_id: null, reason: "Every sampler branch uses the same prompt pair" } };
+    const grid = factGraph();
+    grid.lora = { class_type: "CheckpointLoaderSimple", inputs: { ckpt_name: "epoch_10.safetensors" } };
+    grid.other = structuredClone(grid.s); grid.other.inputs.model = ["lora", 0];
+    assert.deepEqual(statusValues(factsFor(grid, shared)), {
+        seed: ["known", "9007199254740993"], steps: ["known", "28"], cfg: ["known", "6.5000000000000000001"],
+        sampler: ["known", "dpmpp_2m"], scheduler: ["known", "karras"], model: ["ambiguous", null],
+    });
+    assert.ok(Object.values(factsFor(grid, shared)).every(fact => fact.sampler_id === null));
+    // One listed sampler keeps reading that sampler alone.
+    assert.equal(factsFor(factGraph(), shared).model.value, "model.safetensors");
+});
+
 test("ambiguous results without a sampler_id merge facts across every listed stage", () => {
     const ambiguous = { resolution: { state: "ambiguous", sampler_id: null, reason: "Multiple sampler branches" } };
     // f01b's shape: an upstream sampler and a detailer whose settings partly differ.

tests/test_api_prompt_inspector.py

@@ -128,7 +128,12 @@ class TestPromptInspector(ImageAPITestCase):
         for expected in ("ambiguous", "unresolved"):
             source = graph()
             if expected == "ambiguous":
-                source["4"] = source["3"]
+                # Branches with different prompts (#249: identical ones resolve).
+                source["5"] = {"class_type": "CLIPTextEncode", "inputs": {"text": "x"}}
+                source["4"] = {
+                    "class_type": "KSampler",
+                    "inputs": {"positive": ["5", 0], "negative": ["2", 0]},
+                }
             else:
                 source["1"]["class_type"] = "UnknownEncoder"
             png(

tests/test_identical_sampler_branches.py

@@ -0,0 +1,248 @@
+"""Several sampler branches that share one prompt pair resolve to that pair (#249).
+
+The shape is a LoRA epoch-compare grid: one sampler per LoRA epoch, every
+sampler fed by the same positive ``CLIPTextEncode`` and the same
+``ConditioningZeroOut`` negative, every decoded image labelled, batched and
+concatenated into one grid that a single ``SaveImage`` writes. Which branch
+made which tile does not matter to the prompt: every branch used the same pair.
+Branches that differ stay ambiguous.
+"""
+
+import unittest
+
+from utils import prompt_pair_resolver as resolver
+from utils.prompt_inspector import inspect_prompt_evidence
+from utils.prompt_pair_resolver import resolve_prompt_pair
+
+POSITIVE = "a woman holding a coffee cup, in a beanie, sitting by a window"
+OTHER = "a man reading a newspaper on a park bench"
+NEGATIVE = "blurry, low quality"
+# Each profile with the negative it can read: inspection reads the zero-out.
+PROFILES = {
+    "default": (resolver.DEFAULT_PROFILE, NEGATIVE),
+    "inspection": (resolver.INSPECTION_PROFILE, None),
+}
+
+
+def _grid(epochs: int = 4, positives: dict = None, negative: str = None) -> dict:
+    """A compare grid; ``positives`` maps an epoch to its own positive text.
+
+    The negative is a ``ConditioningZeroOut`` of the positive, or with
+    ``negative`` an encoded text (the default profile cannot read a zero-out).
+    """
+    graph = {
+        "1": {
+            "class_type": "UNETLoader",
+            "inputs": {"unet_name": "base.safetensors", "weight_dtype": "default"},
+        },
+        "2": {
+            "class_type": "CLIPLoader",
+            "inputs": {"clip_name": "te.safetensors", "type": "stable_diffusion"},
+        },
+        "3": {"class_type": "VAELoader", "inputs": {"vae_name": "vae.safetensors"}},
+        "4": {
+            "class_type": "CLIPTextEncode",
+            "inputs": {"text": POSITIVE, "clip": ["2", 0]},
+        },
+        "5": (
+            {"class_type": "ConditioningZeroOut", "inputs": {"conditioning": ["4", 0]}}
+            if negative is None
+            else {
+                "class_type": "CLIPTextEncode",
+                "inputs": {"text": negative, "clip": ["2", 0]},
+            }
+        ),
+        "6": {
+            "class_type": "EmptyLatentImage",
+            "inputs": {"width": 512, "height": 512, "batch_size": 1},
+        },
+    }
+    batch = {}
+    for epoch in range(epochs):
+        base = 10 + epoch * 10
+        lora, sampler, decode, label = (str(base + offset) for offset in range(4))
+        positive = "4"
+        if positives and epoch in positives:
+            positive = str(base + 5)
+            graph[positive] = {
+                "class_type": "CLIPTextEncode",
+                "inputs": {"text": positives[epoch], "clip": ["2", 0]},
+            }
+        graph[lora] = {
+            "class_type": "LoraLoaderModelOnly",
+            "inputs": {
+                "lora_name": f"subject_epoch_{epoch:02d}.safetensors",
+                "strength_model": 1.0,
+                "model": ["1", 0],
+            },
+        }
+        graph[sampler] = {
+            "class_type": "KSampler",
+            "inputs": {
+                "seed": 42,
+                "steps": 8,
+                "cfg": 1.0,
+                "sampler_name": "euler",
+                "scheduler": "simple",
+                "denoise": 1.0,
+                "model": [lora, 0],
+                "positive": [positive, 0],
+                "negative": ["5", 0],
+                "latent_image": ["6", 0],
+            },
+        }
+        graph[decode] = {
+            "class_type": "VAEDecode",
+            "inputs": {"samples": [sampler, 0], "vae": ["3", 0]},
+        }
+        graph[label] = {
+            "class_type": "AddLabel",
+            "inputs": {"text": f"epoch {epoch}", "image": [decode, 0]},
+        }
+        batch[f"images.image{epoch}"] = [label, 0]
+    graph["900"] = {"class_type": "BatchImagesNode", "inputs": batch}
+    graph["901"] = {
+        "class_type": "ImageConcatFromBatch",
+        "inputs": {"num_columns": 2, "images": ["900", 0]},
+    }
+    graph["902"] = {
+        "class_type": "SaveImage",
+        "inputs": {"filename_prefix": "compare/grid", "images": ["901", 0]},
+    }
+    return graph
+
+
+def _texts(result: dict) -> tuple:
+    return tuple(
+        result[role]["text"] if isinstance(result[role], dict) else None
+        for role in ("positive", "negative")
+    )
+
+
+class TestIdenticalSamplerBranches(unittest.TestCase):
+    def test_grid_of_identical_branches_resolves_to_the_shared_pair(self):
+        for name, (profile, negative) in PROFILES.items():
+            with self.subTest(profile=name):
+                result = resolve_prompt_pair(
+                    {"prompt": _grid(negative=negative)}, profile=profile
+                )
+                self.assertEqual(result["state"], "resolved")
+                self.assertEqual(_texts(result), (POSITIVE, negative or ""))
+                # No one branch is named: every branch made this pair.
+                self.assertIsNone(result["sampler_id"])
+                self.assertEqual(result["reason"], resolver.IDENTICAL_BRANCHES_REASON)
+                # Every branch stays listed as the evidence for the shared pair.
+                self.assertEqual(
+                    [item["sampler_id"] for item in result["candidates"]],
+                    ["11", "21", "31", "41"],
+                )
+                self.assertEqual(
+                    {_texts(item) for item in result["candidates"]},
+                    {(POSITIVE, negative or "")},
+                )
+                self.assertEqual(result["reason_code"], None)
+                if negative is None:
+                    self.assertEqual(
+                        result["negative"]["provenance"]["text_source"],
+                        "zeroed-conditioning",
+                    )
+
+    def test_default_profile_keeps_an_unreadable_zero_out_grid_ambiguous(self):
+        # Ingestion cannot read ConditioningZeroOut: every branch is unresolved,
+        # so the grid stays ambiguous and the scan keeps its legacy fallback.
+        result = resolve_prompt_pair({"prompt": _grid()})
+        self.assertEqual(result["state"], "ambiguous")
+        self.assertEqual(result["reason"], "Multiple sampler branches")
+        self.assertEqual(
+            {item["state"] for item in result["candidates"]}, {"unresolved"}
+        )
+
+    def test_single_branch_grid_still_names_its_sampler(self):
+        for name, (profile, negative) in PROFILES.items():
+            with self.subTest(profile=name):
+                result = resolve_prompt_pair(
+                    {"prompt": _grid(epochs=1, negative=negative)}, profile=profile
+                )
+                self.assertEqual(result["state"], "resolved")
+                self.assertEqual(result["sampler_id"], "11")
+                self.assertEqual(result["reason"], "")
+
+    def test_branches_with_different_prompts_stay_ambiguous(self):
+        for name, (profile, negative) in PROFILES.items():
+            with self.subTest(profile=name):
+                source = _grid(positives={2: OTHER}, negative=negative)
+                result = resolve_prompt_pair({"prompt": source}, profile=profile)
+                self.assertEqual(result["state"], "ambiguous")
+                self.assertEqual(result["reason"], "Multiple sampler branches")
+                self.assertIsNone(result["positive"])
+                self.assertEqual(
+                    sorted(_texts(item)[0] for item in result["candidates"]),
+                    sorted([POSITIVE] * 3 + [OTHER]),
+                )
+
+    def test_a_branch_that_cannot_be_read_keeps_the_grid_ambiguous(self):
+        for name, (profile, negative) in PROFILES.items():
+            with self.subTest(profile=name):
+                source = _grid(negative=negative)
+                source["31"]["inputs"]["negative"] = ["800", 0]
+                source["800"] = {"class_type": "MysteryConditioning", "inputs": {}}
+                result = resolve_prompt_pair({"prompt": source}, profile=profile)
+                self.assertEqual(result["state"], "ambiguous")
+                self.assertEqual(result["reason"], "Multiple sampler branches")
+
+    def test_identical_unreadable_branches_are_not_collapsed(self):
+        source = _grid(epochs=2)
+        source["5"] = {"class_type": "MysteryConditioning", "inputs": {}}
+        for name, (profile, _negative) in PROFILES.items():
+            with self.subTest(profile=name):
+                result = resolve_prompt_pair({"prompt": source}, profile=profile)
+                self.assertEqual(result["state"], "ambiguous")
+
+    def test_same_text_with_a_different_recipe_stays_ambiguous(self):
+        adapters = {
+            ("RecipeText", 0): resolver.OutputAdapter(
+                "text", "conditioning", compose=True
+            )
+        }
+        source = _grid(epochs=2, negative=NEGATIVE)
+        source["21"]["inputs"]["positive"] = ["700", 0]
+        source["700"] = {
+            "class_type": "RecipeText",
+            "inputs": {"prepend_text": "a woman", "text": "holding a coffee cup"},
+        }
+        alone = resolve_prompt_pair(
+            {"prompt": source}, output_node_id="21", adapters=adapters
+        )
+        # Branch "10" reads the same effective text through a plain encoder.
+        source["4"]["inputs"]["text"] = alone["positive"]["text"]
+        result = resolve_prompt_pair({"prompt": source}, adapters=adapters)
+        self.assertEqual(result["state"], "ambiguous")
+        self.assertEqual(
+            {_texts(item) for item in result["candidates"]},
+            {(alone["positive"]["text"], NEGATIVE)},
+        )
+        self.assertEqual(
+            {item["positive"]["storage_text"] for item in result["candidates"]},
+            {alone["positive"]["text"], "holding a coffee cup"},
+        )
+
+    def test_inspector_shows_the_positive_and_an_explicitly_empty_negative(self):
+        evidence = inspect_prompt_evidence({"prompt": _grid()})
+        prompts = evidence["prompts"]
+        self.assertEqual(prompts["positive"]["status"], "resolved")
+        self.assertEqual(prompts["positive"]["text"], POSITIVE)
+        self.assertEqual(prompts["negative"]["status"], "resolved")
+        self.assertEqual(prompts["negative"]["text"], "")
+        self.assertEqual(prompts["negative"]["source"], "zeroed-conditioning")
+        self.assertEqual(evidence["resolution"]["state"], "resolved")
+        self.assertIsNone(evidence["resolution"]["sampler_id"])
+
+    def test_inspector_keeps_differing_grids_ambiguous(self):
+        evidence = inspect_prompt_evidence({"prompt": _grid(positives={0: OTHER})})
+        self.assertEqual(evidence["resolution"]["state"], "ambiguous")
+        self.assertEqual(evidence["prompts"]["positive"]["status"], "ambiguous")
+        self.assertNotIn(POSITIVE, str(evidence["prompts"]))
+
+
+if __name__ == "__main__":
+    unittest.main()

tests/test_inspection_outcomes.py

@@ -254,7 +254,9 @@ class TestOutcomeMessages(unittest.TestCase):
     def test_candidates_and_absence_keep_their_status_lines(self):
         graph = _runtime()
         graph["7"] = _encode("positive")
-        graph["5"] = _ksampler()
+        # A second sampler with its own prompt (#249: identical ones resolve).
+        graph["8"] = _encode("other positive")
+        graph["5"] = _ksampler("8")
         evidence = inspect_prompt_evidence({"prompt": graph})
         self.assertEqual(evidence["resolution"]["state"], "ambiguous")
         self.assertEqual(_messages(evidence), {"positive": None, "negative": None})

tests/test_pair_image_linking.py

@@ -56,6 +56,14 @@ class TestPairImageLinking(unittest.TestCase):
         self.handler.link_image_to_prompt(self.path, {"id": self.pid}, meta)
         self.assertEqual(self.db.list_prompt_pairs()["total"], 0)
         meta = metadata()
-        meta["prompt"]["4"] = meta["prompt"]["3"]
+        # Two samplers with different positives (#249: identical ones resolve).
+        meta["prompt"]["5"] = {
+            "class_type": "CLIPTextEncode",
+            "inputs": {"text": "dog"},
+        }
+        meta["prompt"]["4"] = {
+            "class_type": "KSampler",
+            "inputs": {"positive": ["5", 0], "negative": ["2", 0]},
+        }
         self.handler.link_image_to_prompt(self.path + "2", {"id": self.pid}, meta)
         self.assertEqual(self.db.list_prompt_pairs()["total"], 0)

tests/test_pair_scan.py

@@ -44,10 +44,15 @@ class TestPairScan(AdminAPITestCase):
         return [p["text"] for p in self.api.db.get_recent_prompts()["prompts"]]
 
     def test_samplers_sharing_one_prompt_link_that_prompt(self):
+        # #249: every branch resolves to one exact pair, so the pair is ingested.
         g = sampled_graph()
         g["5"] = {**g["3"]}
         self.assertEqual(self._scanned("multi.png", g), "added")
-        self.assertEqual(self._texts(), ["cat"])
+        self.assertEqual(sorted(self._texts()), ["blur", "cat"])
+        pairs = self.api.db.list_prompt_pairs()["pairs"]
+        self.assertEqual(
+            [(p["positive_text"], p["negative_text"]) for p in pairs], [("cat", "blur")]
+        )
 
     def test_samplers_with_different_prompts_link_the_first_sampler_prompt(self):
         # The prompt the inspector and the legacy panels show for this file.

tests/test_prompt_pair_resolver.py

@@ -54,13 +54,30 @@ class TestPromptPairResolver(unittest.TestCase):
         self.assertEqual(result["positive"]["text"], "portrait")
         self.assertIsNone(result["negative"])
 
-    def test_multiple_samplers_are_ambiguous_even_when_texts_match(self):
+    def test_multiple_samplers_with_matching_texts_resolve_to_the_shared_pair(self):
         source = graph()
         source["4"] = {
             "class_type": "KSamplerAdvanced",
             "inputs": source["3"]["inputs"],
         }
         result = resolve_prompt_pair(source)
+        self.assertEqual(result["state"], "resolved")
+        self.assertEqual(
+            (result["positive"]["text"], result["negative"]["text"]),
+            ("portrait", "blurry"),
+        )
+        self.assertIsNone(result["sampler_id"])
+        self.assertEqual(result["reason"], resolver.IDENTICAL_BRANCHES_REASON)
+        self.assertEqual(len(result["candidates"]), 2)
+
+    def test_multiple_samplers_with_different_texts_are_ambiguous(self):
+        source = graph()
+        source["5"] = {"class_type": "CLIPTextEncode", "inputs": {"text": "other"}}
+        source["4"] = {
+            "class_type": "KSamplerAdvanced",
+            "inputs": {"positive": ["5", 0], "negative": ["2", 0]},
+        }
+        result = resolve_prompt_pair(source)
         self.assertEqual(result["state"], "ambiguous")
         self.assertEqual(len(result["candidates"]), 2)
         self.assertIsNone(result["positive"])
@@ -2253,12 +2270,14 @@ class TestDetailerStages(unittest.TestCase):
         self.assertEqual(_sides(result), (parity.DETAILER_POS, parity.NEG))
         self.assertEqual(result["sampler_id"], "50")
 
-    def test_raw_and_detailed_saves_stay_ambiguous_without_an_anchor(self):
+    def test_raw_and_detailed_saves_of_one_prompt_share_it_without_an_anchor(self):
         source = _detailed(same_prompt=True)
         source["14"] = {"class_type": "SaveImage", "inputs": {"images": ["8", 0]}}
         result = _inspect(source)
-        self.assertEqual(result["state"], "ambiguous")
-        self.assertEqual(result["reason"], "Multiple sampler branches")
+        # #249: both saves used one pair, so it resolves with no sampler named.
+        self.assertEqual(result["state"], "resolved")
+        self.assertIsNone(result["sampler_id"])
+        self.assertEqual(result["reason"], resolver.IDENTICAL_BRANCHES_REASON)
         self.assertEqual(
             sorted(item["sampler_id"] for item in result["candidates"]), ["3", "50"]
         )

utils/prompt_pair_resolver.py

@@ -17,8 +17,9 @@ ComfyUI, database or configuration dependencies; its only file read is the
 inspection profile's node semantics table (``utils.inspection_semantics``).
 
 Two ``ResolverProfile`` values exist. ``DEFAULT_PROFILE`` (ingestion: scan, live
-monitor, admin import) keeps the historical behavior exactly, including the
-500-node gate, and only adds ``reason_code: None``. ``INSPECTION_PROFILE`` bounds
+monitor, admin import) keeps the historical behavior, including the 500-node
+gate, and only adds ``reason_code: None``; both profiles resolve several sampler
+branches that share one exact pair to that pair (#249). ``INSPECTION_PROFILE`` bounds
 work instead of graph size: a per-candidate visit allowance, a total visit budget
 shared by every candidate and attribution walk, a node ceiling backstop, and
 bounds on built provenance and text. It also names why a result is not resolved
@@ -187,6 +188,8 @@ _MAX_BRANCH_CANDIDATES = 32
 _RUNTIME_REASON = "Text is decided at run time"
 # Uncoded outcomes the inspector explains by their exact reason.
 EMPTY_POSITIVE_REASON = "Positive prompt is empty"
+# Several sampler branches, every one resolved to the same pair (#249).
+IDENTICAL_BRANCHES_REASON = "Every sampler branch uses the same prompt pair"
 MULTISTAGE_UNATTRIBUTED_REASON = "Multistage sampler ancestry is ambiguous"
 _INCOMPATIBLE_SLOT = "Output slot has an incompatible type"
 # Before 3.2.3 a save patch overwrote every PromptManager node's saved ``text``
@@ -1656,8 +1659,10 @@ def resolve_prompt_pair(
 
     Accepts ``{"prompt": api_graph, "parameters": optional_a1111_text}`` or a
     direct API graph. An optional saver/sampler node ID anchors branch selection.
-    Unanchored multiple samplers are ambiguous, even when their texts are equal
-    (the inspection profile first drops stages that only reach previews).
+    Unanchored multiple samplers are ambiguous unless every branch resolves to
+    the same texts and recipes; then that shared pair is resolved with no
+    ``sampler_id`` (the inspection profile first drops stages that only reach
+    previews).
     ``profile`` selects the bounds; explicit ``max_*`` keywords override it.
     """
     profile = _profile_with(profile, max_visits, max_depth, max_text_length)
@@ -1781,14 +1786,50 @@ def _resolve(
     if not sampler_ids:
         return _no_sampler(normalized, profile)
     if len(sampler_ids) > 1:
+        candidates = [resolver.pair(node_id) for node_id in sampler_ids]
+        shared = _shared_pair(candidates)
+        if shared is not None:
+            return shared
         return _result(
             "ambiguous",
             reason="Multiple sampler branches",
-            candidates=[resolver.pair(node_id) for node_id in sampler_ids],
+            candidates=candidates,
         )
     return resolver.pair(sampler_ids[0])
 
 
+def _recipe_key(result: Dict[str, Any]) -> tuple:
+    """What a reader sees of a result, plus each side's stored recipe."""
+    return _outcome_key(result) + tuple(
+        result[role]["storage_text"] if isinstance(result[role], dict) else None
+        for role in ("positive", "negative")
+    )
+
+
+def _shared_pair(candidates: list) -> Optional[Dict[str, Any]]:
+    """The one pair every sampler branch resolved to, or None (#249).
+
+    A compare grid runs several samplers on one positive and one negative: the
+    prompt is certain even though no single branch made the image. Every branch
+    must be resolved with identical texts and recipes; any other mix stays
+    ambiguous. No sampler is named, since none alone made the output; the sides
+    (and their provenance) are the first branch's, and every branch stays listed
+    in ``candidates`` as the evidence.
+    """
+    first = candidates[0]
+    if first["state"] != "resolved":
+        return None
+    if len({_recipe_key(item) for item in candidates}) != 1:
+        return None
+    return _result(
+        "resolved",
+        positive=first["positive"],
+        negative=first["negative"],
+        reason=IDENTICAL_BRANCHES_REASON,
+        candidates=candidates,
+    )
+
+
 # Bounds for walking a UI workflow's subgraph instances (R1 only).
 _MAX_SUBGRAPH_DEPTH = 8
 _MAX_WORKFLOW_NODES = 100_000

web/js/comfy-metadata.js

@@ -631,6 +631,8 @@
      * until PR3), and unresolved or absent over several listed samplers, merge the same
      * way across every listed sampler and its stages. Otherwise (no resolution, or one
      * listed sampler) exactly one listed sampler supplies them; several leave every field ambiguous.
+     * A resolved pair without a named sampler (identical branches, #249) merges like
+     * ambiguous when several samplers are listed.
      */
     function graphFacts(graph, source, resolution) {
         if (!object(graph)) return factSet("unresolved", source);
@@ -650,8 +652,9 @@
         }
         const candidates = entries.filter(([id]) => samplerEntry(graph, id));
         // Review I-1: an unresolved or absent prompt does not make the run's settings
-        // unknown, so several listed samplers merge the same way.
-        if (state === "ambiguous" || ((state === "unresolved" || state === "absent") && candidates.length > 1)) {
+        // unknown, so several listed samplers merge the same way. So does a pair the
+        // server resolved across several branches without naming one (#249).
+        if (state === "ambiguous" || (["unresolved", "absent", "resolved"].includes(state) && candidates.length > 1)) {
             // The server's branches: every listed sampler, a detailer judged with its stages.
             const stages = new Set();
             if (!candidates.length || !candidates.every(([id]) => collectStages(graph, id, new Set(), stages, { visits: 0 }))) return factSet("unresolved", source);