diff --git a/TESTING.md b/TESTING.md
index 7d6543d2..f24a28ca 100644
--- a/TESTING.md
+++ b/TESTING.md
@@ -433,10 +433,20 @@ prefix) stays `ambiguous`, and text generated at run time stays untraceable
 `tests/passthrough_graphs.py`; the browser port is compared on the named
 `select-*` chain cases and `passthrough_fuzz_cases`). Ingestion keeps the default
 profile's historical latent rule (D1), so the admin scan still reaches these files
-through its legacy-parser fallback. Known gap: a PromptManager whose `prepend_text`
-comes from LoraManager's `TriggerWord Toggle` stays `unsupported-node` naming that
-node (its output depends on run-time trigger words and version-specific widget
-handling); an unlisted node with sampler-shaped inputs (positive, negative, guider,
+through its legacy-parser fallback. Run-time PromptManager parts (maintainer option
+A, 2026-10-23): LoraManager's `TriggerWord Toggle` is a `runtime` class (its output is
+the LoRA's trigger words as filtered at run time). A PromptManager (or
+PromptManagerPair) `prepend_text` or `append_text` linked directly to a `runtime`
+node is left out: the text is the node's own, combined with any other literal or
+traced part exactly as before, the side's source is `runtime-parts-omitted`, and a
+resolved pair's reason is "Text added at run time, such as trigger words, is not
+included". The prompt block shows that line under the text (D-NEW-R1, placeholder
+copy the concept does not have; the evidence badge stays "Workflow inferred"). The
+toggle's output is never computed. A run-time node further upstream (inside a
+concatenation), a run-time main `text`, or an unknown feeder keep their outcome
+(`runtime-value` or `unsupported-node`). This is what legacy linked for the June
+hires-fix runs (`TestRunTimePromptManagerParts`, the `select-runtime-*` parity
+cases); an unlisted node with sampler-shaped inputs (positive, negative, guider,
 latent_image, a pipe, video embeds, custom-sampler parts, or a `model` link together
 with conditioning, neg_conditioning, samples or latent) is `unsupported-node`
 naming it, here and in a detailer's image ancestry; a latent that is not a link or
diff --git a/tests/fixtures/local-inspect/resolver-vectors.json b/tests/fixtures/local-inspect/resolver-vectors.json
index 61f84dc2..5589234f 100644
--- a/tests/fixtures/local-inspect/resolver-vectors.json
+++ b/tests/fixtures/local-inspect/resolver-vectors.json
@@ -1 +1 @@
-{"vectors": [{"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "encode", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "3", "state": "unresolved"}}, "name": "empty-positive", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" …\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": ""}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "feff-positive", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "no-negative", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": null, \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Negative input is absent", "reason_code": null, "sampler_id": "3", "state": "absent"}}, "name": "negative-missing-input", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "float-slot", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0.0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "bool-slot", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", true], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "int-id", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [6, 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "dangling", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"60\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (CLIPTextEncode).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (CLIPTextEncode).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "CLIPTextEncode", "id": "6"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "wrong-slot", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 3], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Cyclic prompt graph", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "cycle", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"8\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Reroute input is not uniquely identifiable", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "reroute-ambiguous", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"6\", 0], \"in\": [\"6\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "last wins"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "duplicate-key", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"last wins\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "nan-input", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": NaN, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": null, "id": "6"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "class-type-number", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": 1.5, \"inputs\": {\"text\": \"x\"}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": null, "id": "6"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "class-type-missing", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"inputs\": {\"text\": \"x\"}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "inputs-list", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": [\"x\"]}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "API graph is missing or malformed", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "prompt-list", "records": {"prompt": "[1, 2]"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "API graph is missing or malformed", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "prompt-empty", "records": {"prompt": "{}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Prompt evidence is malformed", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "prompt-bom", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Prompt evidence is malformed", "reason_code": "malformed", "sampler_id": null, "state": "unresolved"}}, "name": "huge-int", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 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\"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"ConditioningAverage\", \"inputs\": {\"conditioning_to\": [\"2\", 0], \"conditioning_from\": [\"6\", 0]}}, \"13\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"10\", 0]}}, \"14\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"13\", 0], \"model\": [\"1\", 0], \"positive\": [\"12\", 0], \"negative\": [\"3\", 0]}}, \"15\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"14\", 0]}}, \"16\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"2\", 0], \"conditioning_2\": [\"6\", 0]}}, \"17\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"14\", 0]}}, \"18\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"16\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"19\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"18\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "11", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-39", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}], "version": 2}
diff --git a/tests/js/prompt-blocks.test.js b/tests/js/prompt-blocks.test.js
index c90a492c..d94811a8 100644
--- a/tests/js/prompt-blocks.test.js
+++ b/tests/js/prompt-blocks.test.js
@@ -82,6 +82,19 @@ test('a zeroed conditioning negative shows as an explicit empty negative without
     }finally{scope.dispose();f.restore();}
 });
 
+test('a prompt that left out run-time trigger words says so under its text (D-NEW-R1)',()=>{
+    const f=dom(),scope=createScope(),container=new f.Element('div'),sent=[];
+    const note='Text added at run time, such as trigger words, is not included.';
+    try{
+        module.mountPromptBlocks(container,{parentScope:scope,sender:{open:roles=>sent.push(roles)},prompts:{positive:{status:'resolved',text:'own text',source:'runtime-parts-omitted'},negative:{status:'resolved',text:'blur',source:'graph-inferred'}}});
+        const notes=f.walk(container,node=>node.textContent===note);
+        assert.equal(notes.length,1,'one note, under the positive only');
+        assert.equal(notes[0].parent.attributes['aria-label'],'Positive prompt');
+        container.click(f.walk(container,node=>node.dataset.sendRole==='pair')[0]);
+        assert.deepEqual(sent,[{positive:'own text',negative:'blur'}],'the note is never sent');
+    }finally{scope.dispose();f.restore();}
+});
+
 const unresolved=message=>({status:'unresolved',text:null,source:null,...(message===undefined?{}:{message})});
 const statusLines=(f,container)=>f.walk(container,node=>node.tagName==='p'&&node.className==='prompt-text muted').map(node=>node.textContent);
 test('unsupported node status names the class',()=>{
diff --git a/tests/local_resolver_selection_cases.py b/tests/local_resolver_selection_cases.py
index 0f612246..a0bd100b 100644
--- a/tests/local_resolver_selection_cases.py
+++ b/tests/local_resolver_selection_cases.py
@@ -488,9 +488,46 @@ def _passthrough():
     graph["60"]["inputs"]["positive"] = ["39", 0]
     cases["flux-encoder-parts"] = graph
     cases.update(_passthrough_edges())
+    cases.update(_runtime_parts())
     return cases
 
 
+def _runtime_parts():
+    """Option A: a PromptManager part fed by a run-time node is left out."""
+    cases = {"trigger-prepend": shapes.hires_fix_with_trigger_words()}
+    graph = shapes.hires_fix_with_trigger_words()
+    graph["2"]["inputs"].update(prepend_text="masterpiece", append_text=["8", 0])
+    graph["20"]["inputs"]["latent_image"] = ["4", 0]
+    cases["trigger-append-single"] = graph
+    graph = shapes.hires_fix_with_trigger_words()
+    graph["8"] = {"class_type": "PrimitiveString", "inputs": {"value": "trig9word"}}
+    cases["traced-prepend"] = graph
+    graph = shapes.hires_fix_with_trigger_words()
+    graph["8"]["class_type"] = "MysteryWords"
+    cases["unknown-prepend"] = graph
+    graph = shapes.hires_fix_with_trigger_words()
+    graph["9"] = {
+        "class_type": "StringConcatenate",
+        "inputs": {"string_a": "kept", "string_b": ["8", 0], "delimiter": ""},
+    }
+    graph["2"]["inputs"]["prepend_text"] = ["9", 0]
+    cases["indirect-prepend"] = graph
+    graph = shapes.hires_fix_with_trigger_words()
+    graph["2"]["inputs"].update(prepend_text="", text=["8", 0])
+    cases["runtime-main-text"] = graph
+    graph = shapes.hires_fix_with_trigger_words()
+    graph["2"]["class_type"] = "PromptManagerPair"
+    graph["2"]["inputs"]["negative_text"] = shapes.NEGATIVE
+    graph["10"]["inputs"]["negative"] = ["2", 1]
+    graph["20"]["inputs"]["negative"] = ["2", 1]
+    cases["trigger-pair"] = graph
+    graph = shapes.hires_fix_with_trigger_words()
+    graph["30"] = {"class_type": "PromptSearchList", "inputs": {"search": "x"}}
+    graph["2"]["inputs"]["append_text"] = ["30", 0]
+    cases["search-list-append"] = graph
+    return {f"runtime-{name}": graph for name, graph in cases.items()}
+
+
 def _passthrough_edges():
     """Lineage and floor edges: branching refiners, other slots, cycles, guiders."""
     cases = {}
diff --git a/tests/passthrough_graphs.py b/tests/passthrough_graphs.py
index 89764e65..330b9f7b 100644
--- a/tests/passthrough_graphs.py
+++ b/tests/passthrough_graphs.py
@@ -243,6 +243,32 @@ def edit_batch(count=3):
     return graph
 
 
+def trigger_toggle(words="trig9word"):
+    """LoraManager's TriggerWord Toggle: its output is decided at run time."""
+    return {
+        "class_type": "TriggerWord Toggle (LoraManager)",
+        "inputs": {
+            "group_mode": True,
+            "default_active": True,
+            "toggle_trigger_words": {"__value__": [{"text": words, "active": True}]},
+            "orinalMessage": words,
+            "trigger_words": ["7", 2],
+        },
+    }
+
+
+def hires_fix_with_trigger_words():
+    """``hires_fix`` whose PromptManager prepends LoRA trigger words (node 8)."""
+    graph = hires_fix()
+    graph["7"] = {
+        "class_type": "Lora Loader (LoraManager)",
+        "inputs": {"model": ["1", 0], "clip": ["1", 1], "text": "<lora:x:1>"},
+    }
+    graph["8"] = trigger_toggle()
+    graph["2"]["inputs"]["prepend_text"] = ["8", 0]
+    return graph
+
+
 def generated_text_chain():
     """``hires_fix`` whose positive text comes from a run-time text generator."""
     graph = hires_fix()
diff --git a/tests/test_inspection_semantics.py b/tests/test_inspection_semantics.py
index d50a051e..2cae45ce 100644
--- a/tests/test_inspection_semantics.py
+++ b/tests/test_inspection_semantics.py
@@ -270,7 +270,12 @@ class SpecEntriesTest(unittest.TestCase):
         )
 
         # D18: decided at run time.
-        self.assertEqual(table.runtime, frozenset({"PromptSearchList"}))
+        # LoraManager's TriggerWord Toggle outputs the LoRA's trigger words as
+        # filtered at run time (option A leaves them out of a PromptManager).
+        self.assertEqual(
+            table.runtime,
+            frozenset({"PromptSearchList", "TriggerWord Toggle (LoraManager)"}),
+        )
 
         comfy = "{name}_{counter:05}_.{ext}"
         for name, image in (
diff --git a/tests/test_resolver_pass_through.py b/tests/test_resolver_pass_through.py
index be1e5844..6f8e84f3 100644
--- a/tests/test_resolver_pass_through.py
+++ b/tests/test_resolver_pass_through.py
@@ -202,6 +202,93 @@ class TestFluxThreeStage(unittest.TestCase):
         self.assertEqual(evidence["prompts"]["positive"]["text"], shapes.POSITIVE)
 
 
+class TestRunTimePromptManagerParts(unittest.TestCase):
+    """Maintainer option A: a run-time prepend or append is left out, labelled."""
+
+    def test_trigger_words_prepend_resolves_to_the_prompt_manager_text(self):
+        for anchor in (None, "22"):
+            with self.subTest(anchor=anchor):
+                result = _inspect(
+                    shapes.hires_fix_with_trigger_words(), output_node_id=anchor
+                )
+                self.assertEqual(result["state"], "resolved")
+                self.assertEqual(_texts(result), (shapes.POSITIVE, shapes.NEGATIVE))
+                self.assertEqual(result["reason"], resolver.RUNTIME_PARTS_REASON)
+                provenance = result["positive"]["provenance"]
+                self.assertEqual(
+                    provenance["text_source"], resolver.RUNTIME_PARTS_SOURCE
+                )
+                self.assertEqual(result["positive"]["storage_text"], shapes.POSITIVE)
+                # The negative is untouched by the positive's run-time part.
+                self.assertEqual(
+                    result["negative"]["provenance"]["text_source"], "graph-inferred"
+                )
+
+    def test_append_and_a_single_sampler_are_labelled_too(self):
+        graph = shapes.hires_fix_with_trigger_words()
+        graph["2"]["inputs"]["prepend_text"] = "masterpiece"
+        graph["2"]["inputs"]["append_text"] = ["8", 0]
+        graph["20"]["inputs"]["latent_image"] = ["4", 0]
+        result = _inspect(graph, output_node_id="22")
+        self.assertEqual(result["state"], "resolved")
+        # The literal prepend is still combined exactly as before.
+        self.assertEqual(_texts(result)[0], "masterpiece " + shapes.POSITIVE)
+        self.assertEqual(result["reason"], resolver.RUNTIME_PARTS_REASON)
+
+    def test_the_inspector_shows_the_prompt_and_its_source(self):
+        evidence = inspect_prompt_evidence(
+            {"prompt": json.dumps(shapes.hires_fix_with_trigger_words())}
+        )
+        self.assertEqual(evidence["resolution"]["state"], "resolved")
+        self.assertEqual(
+            evidence["prompts"]["positive"],
+            {
+                "status": "resolved",
+                "text": shapes.POSITIVE,
+                "source": resolver.RUNTIME_PARTS_SOURCE,
+            },
+        )
+
+    def test_literal_and_traceable_parts_are_combined_as_before(self):
+        graph = shapes.hires_fix_with_trigger_words()
+        graph["8"] = {"class_type": "PrimitiveString", "inputs": {"value": "trig9word"}}
+        result = _inspect(graph)
+        self.assertEqual(_texts(result)[0], "trig9word " + shapes.POSITIVE)
+        self.assertEqual(result["reason"], "")
+        self.assertEqual(
+            result["positive"]["provenance"]["text_source"], "graph-inferred"
+        )
+
+    def test_only_a_run_time_feeder_is_left_out(self):
+        # An unknown feeder stays unsupported, naming it.
+        graph = shapes.hires_fix_with_trigger_words()
+        graph["8"]["class_type"] = "MysteryWords"
+        result = _inspect(graph)
+        self.assertEqual(result["reason_code"], "unsupported-node")
+        self.assertEqual(result["node"]["class_type"], "MysteryWords")
+        # A run-time node deeper inside the part makes the whole part run time,
+        # but it is not a direct feeder: never leave out a traced literal.
+        graph = shapes.hires_fix_with_trigger_words()
+        graph["9"] = {
+            "class_type": "StringConcatenate",
+            "inputs": {"string_a": "kept", "string_b": ["8", 0], "delimiter": ""},
+        }
+        graph["2"]["inputs"]["prepend_text"] = ["9", 0]
+        result = _inspect(graph)
+        self.assertEqual(result["reason_code"], "runtime-value")
+
+    def test_the_main_text_from_a_run_time_node_is_never_left_out(self):
+        graph = shapes.hires_fix_with_trigger_words()
+        graph["2"]["inputs"]["prepend_text"] = ""
+        graph["2"]["inputs"]["text"] = ["8", 0]
+        result = _inspect(graph)
+        self.assertEqual(result["reason_code"], "runtime-value")
+
+    def test_ingestion_is_unchanged(self):
+        result = resolve_prompt_pair({"prompt": shapes.hires_fix_with_trigger_words()})
+        self.assertEqual(result["state"], "ambiguous")
+
+
 class TestStillAmbiguous(unittest.TestCase):
     def test_edit_batch_with_distinct_prompts_stays_ambiguous(self):
         result = _inspect(shapes.edit_batch(4))
diff --git a/utils/prompt_pair_resolver.py b/utils/prompt_pair_resolver.py
index 8159ead1..f005d858 100644
--- a/utils/prompt_pair_resolver.py
+++ b/utils/prompt_pair_resolver.py
@@ -194,6 +194,11 @@ MULTISTAGE_UNATTRIBUTED_REASON = "Multistage sampler ancestry is ambiguous"
 # A later stage's positive combines the earlier stages' shared prompt with more
 # conditioning (a style trigger): that shared pair is the run's prompt (floor).
 ADDED_CONDITIONING_REASON = "A later stage adds conditioning to the base prompt"
+# Maintainer option A (2026-10-23): a PromptManager prepend or append fed
+# directly by a run-time node (LoRA trigger words) is left out, never guessed;
+# the text is the node's own, labelled by this source and reason (D-NEW-R1).
+RUNTIME_PARTS_SOURCE = "runtime-parts-omitted"
+RUNTIME_PARTS_REASON = "Text added at run time, such as trigger words, is not included"
 _INCOMPATIBLE_SLOT = "Output slot has an incompatible type"
 # Before 3.2.3 a save patch overwrote every PromptManager node's saved ``text``
 # with the last-run node's prompt (comfy-metadata.js ``createContext``).
@@ -328,6 +333,13 @@ def _reroute_value(inputs: dict) -> Any:
     return inputs[keys[0]] if len(keys) == 1 else None
 
 
+def _parts_reason(*sides: dict) -> str:
+    """The run-time parts reason when a side left out a PromptManager part."""
+    if any(side["provenance"]["text_source"] == RUNTIME_PARTS_SOURCE for side in sides):
+        return RUNTIME_PARTS_REASON
+    return ""
+
+
 def _combined_positive(result: Dict[str, Any]) -> bool:
     """Whether a stage failed only because its positive combines texts."""
     return result["reason_code"] == "composite" and result["positive"] is None
@@ -537,11 +549,12 @@ class _GraphResolver:
                     if adapter.compose or adapter.storage_input:
                         storage_text = text
                     if adapter.compose:
-                        before, before_path, _ = self.text(
-                            inputs.get("prepend_text", ""), "string", depth + 1
+                        omitted: list = []
+                        before, before_path = self.part(
+                            inputs.get("prepend_text", ""), depth, omitted
                         )
-                        after, after_path, _ = self.text(
-                            inputs.get("append_text", ""), "string", depth + 1
+                        after, after_path = self.part(
+                            inputs.get("append_text", ""), depth, omitted
                         )
                         self.scan(
                             len(before)
@@ -560,6 +573,8 @@ class _GraphResolver:
                             )
                         )
                         path = before_path + path + after_path
+                        if omitted:
+                            self.text_sources[(node_id, slot)] = RUNTIME_PARTS_SOURCE
             elif (
                 name in ("StringConcatenate", "Text Concatenate")
                 and slot == 0
@@ -629,6 +644,30 @@ class _GraphResolver:
             self.tainted = outer_tainted or self.tainted
             self.active.discard(key)
 
+    def part(self, value: Any, depth: int, omitted: list) -> Tuple[str, list]:
+        """A PromptManager prepend or append: traced, or left out when run time.
+
+        Only with the semantics table (inspection), and only when the input is
+        a link to a node whose output is decided at run time (``runtime``, such
+        as LoraManager's TriggerWord Toggle): that part is not in the file, so
+        it is left out and recorded in ``omitted``. Anything else, including a
+        run-time node further upstream, keeps its trace or its failure.
+        """
+        try:
+            text, path, _ = self.text(value, "string", depth + 1)
+        except _Unresolved as error:
+            if (
+                self.semantics is None
+                or error.code != "runtime-value"
+                or not _link(value)
+                or error.node is None
+                or error.node["id"] != str(value[0])[:_CLASS_NAME_LENGTH]
+            ):
+                raise
+            omitted.append(str(value[0]))
+            return "", []
+        return text, path
+
     def historical(
         self, adapter: OutputAdapter, inputs: dict, depth: int
     ) -> Tuple[str, list, str]:
@@ -1539,7 +1578,13 @@ class _GraphResolver:
                     reason=absent_reason,
                 )
             negative = self.side(inputs[negative_name], sampler_id, guider_id, depth)
-            return _result("resolved", positive, negative, sampler_id)
+            return _result(
+                "resolved",
+                positive,
+                negative,
+                sampler_id,
+                _parts_reason(positive, negative),
+            )
         except _Unresolved as error:
             return _result(
                 "unresolved",
diff --git a/web/js/comfy-metadata.js b/web/js/comfy-metadata.js
index c505ea76..d3d82935 100644
--- a/web/js/comfy-metadata.js
+++ b/web/js/comfy-metadata.js
@@ -462,7 +462,7 @@
         "ControlNetApplyAdvanced", "ControlNetApplySD3", "InpaintModelConditioning", "WanImageToVideo", "ConditioningZeroOut",
         "CLIPTextEncode", "CLIPTextEncodeSDXL", "CLIPTextEncodeFlux", "CLIPTextEncodeSD3", "TextEncodeQwenImageEdit",
         "TextEncodeQwenImageEditPlus", "TextEncodeQwenImage21", "KikoTextEncode", "StringConstant", "StringConstantMultiline",
-        "JoinStringMulti", "PromptSearchList", "PreviewImage", "PreviewAny", "SaveImageWebsocket",
+        "JoinStringMulti", "PromptSearchList", "TriggerWord Toggle (LoraManager)", "PreviewImage", "PreviewAny", "SaveImageWebsocket",
         "Image Comparer (rgthree)", "DetailerForEach", "UltimateSDUpscale", "UltimateSDUpscaleNoUpscale",
         "ControlNetInpaintingAliMamaApply", "LTXVConditioning", "FluxKontextMultiReferenceLatentMethod", "Text to Conditioning",
         "TextInput", "DisplayText", "ClownsharKSampler_Beta", "KSampler (Efficient)", "ttN KSampler_v2",
diff --git a/web/js/inspection-semantics.json b/web/js/inspection-semantics.json
index 66b75b0d..b08e7197 100644
--- a/web/js/inspection-semantics.json
+++ b/web/js/inspection-semantics.json
@@ -175,7 +175,7 @@
       }
     }
   ],
-  "runtime": ["PromptSearchList"],
+  "runtime": ["PromptSearchList", "TriggerWord Toggle (LoraManager)"],
   "savers": {
     "SaveImage": {
       "strategy": "comfy-counter",
diff --git a/web/js/workspace/file-inspector.mjs b/web/js/workspace/file-inspector.mjs
index 80465acd..3ec14992 100644
--- a/web/js/workspace/file-inspector.mjs
+++ b/web/js/workspace/file-inspector.mjs
@@ -156,7 +156,8 @@ function generationFacts(record, listClass, noteClass) {
     return [facts, explanation];
 }
 // D21: the panel badge names the strongest resolved prompt source; any other source shows no badge.
-const EVIDENCE_BADGES = [['execution', 'Execution recorded'], ['graph-inferred', 'Workflow inferred'], ['embedded-parameters', 'Embedded parameters']];
+// A prompt that left out a run-time PromptManager part (D-NEW-R1) is still inferred from the workflow.
+const EVIDENCE_BADGES = [['execution', 'Execution recorded'], ['graph-inferred', 'Workflow inferred'], ['runtime-parts-omitted', 'Workflow inferred'], ['embedded-parameters', 'Embedded parameters']];
 function evidenceBadge(prompts) {
     const sources = new Set(Object.values(prompts).filter(role => role?.status === 'resolved').map(role => role.source));
     return EVIDENCE_BADGES.find(([source]) => sources.has(source))?.[1] ?? null;
diff --git a/web/js/workspace/local-resolver-support.mjs b/web/js/workspace/local-resolver-support.mjs
index 7af35e63..e7cdeac2 100644
--- a/web/js/workspace/local-resolver-support.mjs
+++ b/web/js/workspace/local-resolver-support.mjs
@@ -32,6 +32,8 @@ export const EMPTY_POSITIVE_REASON = 'Positive prompt is empty';
 export const IDENTICAL_BRANCHES_REASON = 'Every sampler branch uses the same prompt pair';
 export const MULTISTAGE_UNATTRIBUTED_REASON = 'Multistage sampler ancestry is ambiguous';
 export const ADDED_CONDITIONING_REASON = 'A later stage adds conditioning to the base prompt';
+export const RUNTIME_PARTS_SOURCE = 'runtime-parts-omitted';
+export const RUNTIME_PARTS_REASON = 'Text added at run time, such as trigger words, is not included';
 export const MALFORMED_EVIDENCE_REASON = 'Prompt evidence is malformed';
 export const UNREADABLE_METADATA_REASON = 'Media metadata could not be read';
 export const SEMANTICS_UNAVAILABLE_REASON = 'Inspection node semantics are unavailable';
diff --git a/web/js/workspace/local-resolver.mjs b/web/js/workspace/local-resolver.mjs
index d644c993..7dda433b 100644
--- a/web/js/workspace/local-resolver.mjs
+++ b/web/js/workspace/local-resolver.mjs
@@ -39,6 +39,8 @@ import {
     explained,
     isLink,
     nodeRef,
+    RUNTIME_PARTS_REASON,
+    RUNTIME_PARTS_SOURCE,
     readPairExecution,
     rerouteValue,
     result,
@@ -168,11 +170,13 @@ class GraphResolver {
                     [text, path, storageText] = this.text(pyGet(inputs, adapted.inputName), 'string', depth + 1);
                     if (adapted.compose || adapted.storageInput) storageText = text;
                     if (adapted.compose) {
-                        const [before, beforePath] = this.text(pyGet(inputs, 'prepend_text', ''), 'string', depth + 1);
-                        const [after, afterPath] = this.text(pyGet(inputs, 'append_text', ''), 'string', depth + 1);
+                        const omitted = [];
+                        const [before, beforePath] = this.part(pyGet(inputs, 'prepend_text', ''), depth, omitted);
+                        const [after, afterPath] = this.part(pyGet(inputs, 'append_text', ''), depth, omitted);
                         this.scan(pyLen(before) + pyLen(after) + beforePath.length + path.length + afterPath.length);
                         text = this.built(this.bounded([pyStrip(before), text, pyStrip(after)].filter(part => part).join(' ')));
                         path = [...beforePath, ...path, ...afterPath];
+                        if (omitted.length) this.textSources.set(slotKey(nodeId, slot), RUNTIME_PARTS_SOURCE);
                     }
                 }
             } else if ((name === 'StringConcatenate' || name === 'Text Concatenate') && slot === 0 && kind === 'string') {
@@ -403,6 +407,19 @@ class GraphResolver {
         return [text, path, text];
     }
 
+    /** `part`: a PromptManager prepend or append, traced, or left out when a direct run-time feeder decides it. */
+    part(value, depth, omitted) {
+        try {
+            const [text, path] = this.text(value, 'string', depth + 1);
+            return [text, path];
+        } catch (error) {
+            if (!(error instanceof Unresolved) || error.code !== 'runtime-value' || !isLink(value) || error.node === null ||
+                error.node.id !== pySlice(String(value[0]), CLASS_NAME_LENGTH)) throw error;
+            omitted.push(String(value[0]));
+            return ['', []];
+        }
+    }
+
     sourceOf(path) {
         if (!path.length) return 'graph-inferred';
         return this.textSources.get(slotKey(path[0].node_id, path[0].output_slot)) ?? 'graph-inferred';
@@ -528,7 +545,8 @@ class GraphResolver {
                 return result('absent', { positive, samplerId, reason: absentReason });
             }
             negative = this.side(inputs.get(negativeName), samplerId, guiderId, depth);
-            return result('resolved', { positive, negative, samplerId });
+            const omitted = [positive, negative].some(side => side.provenance.text_source === RUNTIME_PARTS_SOURCE);
+            return result('resolved', { positive, negative, samplerId, reason: omitted ? RUNTIME_PARTS_REASON : '' });
         } catch (error) {
             if (!(error instanceof Unresolved)) throw error;
             return result('unresolved', { positive, negative, samplerId, reason: error.message, reasonCode: error.code, node: error.node });
diff --git a/web/js/workspace/prompt-blocks.mjs b/web/js/workspace/prompt-blocks.mjs
index 08f827a8..9006da77 100644
--- a/web/js/workspace/prompt-blocks.mjs
+++ b/web/js/workspace/prompt-blocks.mjs
@@ -15,6 +15,10 @@ const statuses = {
     ambiguous: 'Multiple possible prompts. Source could not be determined.',
     unresolved: 'Prompt could not be resolved.',
 };
+// D-NEW-R1 (placeholder copy, not in the concept; maintainer option A): a PromptManager prepend or append that a
+// run-time node decided (LoRA trigger words) is not in the file, so the shown text leaves it out and says so.
+export const RUNTIME_PARTS_SOURCE = 'runtime-parts-omitted';
+export const RUNTIME_PARTS_NOTE = 'Text added at run time, such as trigger words, is not included.';
 const ROLE_LABELS = Object.freeze({positive: '+ Positive prompt', negative: '\u2212 Negative prompt'});
 function el(tag, text, className) {
     const node = document.createElement(tag);
@@ -114,6 +118,7 @@ export function mountPromptBlocks(container, {prompts, sender, parentScope, role
                 // Production keeps a confirmed prompt keyboard-reachable for reading and selecting long text.
                 text.tabIndex = 0;
                 block.append(text);
+                if (record?.source === RUNTIME_PARTS_SOURCE) block.append(el('p', RUNTIME_PARTS_NOTE, 'small muted'));
             } else block.append(el('p', typeof record?.message === 'string' && record.message ? record.message : statuses[record?.status] || statuses.unresolved, 'prompt-text muted'));
             container.append(block);
         }