diff --git a/tests/fixtures/local-inspect/legacy-agreement.json b/tests/fixtures/local-inspect/legacy-agreement.json
index 2212d449..2bb30deb 100644
--- a/tests/fixtures/local-inspect/legacy-agreement.json
+++ b/tests/fixtures/local-inspect/legacy-agreement.json
@@ -33,6 +33,7 @@
   "f23"
  ],
  "local_resolver": [
+  "anchor-first-stage-no-latent",
   "anchor-same-links",
   "anchor-same-links-unanchored",
   "built-chars",
diff --git a/tests/fixtures/local-inspect/resolver-vectors.json b/tests/fixtures/local-inspect/resolver-vectors.json
index 7f7258b7..891275c5 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": 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\"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\": \"ImageUpscaleWithModel\", \"inputs\": {\"image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"11\", 0]}}, \"13\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"6\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"12\", 0]}}, \"14\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"13\", 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": "16", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-32", "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\": \"FluxGuidance\", \"inputs\": {\"guidance\": 3.5, \"conditioning\": [\"2\", 0]}}, \"12\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"10\", 0]}}, \"13\": {\"class_type\": \"Image Filter\", \"inputs\": {\"images\": [\"12\", 0]}}, \"14\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"13\", 0]}}, \"15\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"15\", 0]}}, \"17\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"16\", 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": "12", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-33", "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\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"10\", 0]}}, \"12\": {\"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\": [\"11\", 0]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"12\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-34", "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\": \"SaveImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"ConditioningConcat\", \"inputs\": {\"conditioning_to\": [\"5\", 0], \"conditioning_from\": [\"2\", 0]}}, \"13\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"10\", 0]}}, \"14\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"13\", 0]}}, \"15\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"14\", 0]}}, \"16\": {\"class_type\": \"ImageScale\", \"inputs\": {\"image\": [\"15\", 0]}}, \"17\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"12\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"16\", 0]}}, \"18\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"17\", 0]}}, \"19\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"17\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "added-conditioning", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "A later stage adds conditioning to the base prompt", "reason_code": null, "sampler_id": "10", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-35", "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\": \"PreviewImage\", \"inputs\": {\"images\": [\"10\", 0]}}, \"12\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"2\", 0], \"conditioning_2\": [\"5\", 0]}}, \"13\": {\"class_type\": \"VAEDecode\", \"inputs\": {\"samples\": [\"10\", 0]}}, \"14\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"13\", 0]}}, \"15\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"14\", 0]}}, \"16\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"12\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"15\", 0]}}, \"17\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"16\", 0]}}, \"18\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"16\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-36", "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\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"5\", 0], \"conditioning_2\": [\"2\", 0]}}, \"12\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"10\", 0]}}, \"13\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"12\", 0]}}, \"14\": {\"class_type\": \"ConditioningConcat\", \"inputs\": {\"conditioning_to\": [\"5\", 0], \"conditioning_from\": [\"2\", 0]}}, \"15\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"14\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"12\", 0]}}, \"16\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}, \"17\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"15\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt combines several texts (ConditioningCombine).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "ConditioningCombine", "id": "16"}, "reason": "Combined conditioning has different texts", "reason_code": "composite", "sampler_id": "19", "state": "unresolved"}}, "name": "select-passthrough-fuzz-0-37", "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\": \"ConditioningAverage\", \"inputs\": {\"conditioning_to\": [\"5\", 0], \"conditioning_from\": [\"2\", 0]}}, \"12\": {\"class_type\": \"ImageScaleBy\", \"inputs\": {\"image\": [\"10\", 0]}}, \"13\": {\"class_type\": \"LatentUpscaleBy\", \"inputs\": {\"samples\": [\"12\", 0]}}, \"14\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"11\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"13\", 0]}}, \"15\": {\"class_type\": \"PreviewImage\", \"inputs\": {\"images\": [\"14\", 0]}}, \"16\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"5\", 0], \"conditioning_2\": [\"2\", 0]}}, \"17\": {\"class_type\": \"Image Filter\", \"inputs\": {\"images\": [\"14\", 0]}}, \"18\": {\"class_type\": \"VAEEncode\", \"inputs\": {\"pixels\": [\"17\", 0]}}, \"19\": {\"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\": [\"18\", 0]}}, \"20\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"19\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "ambiguous", "text": null}, "positive": {"source": null, "status": "ambiguous", "text": null}}, "resolution": {"node": null, "reason": "Multiple sampler branches", "reason_code": null, "sampler_id": null, "state": "ambiguous"}}, "name": "select-passthrough-fuzz-0-38", "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\": \"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/local_resolver_cases.py b/tests/local_resolver_cases.py
index 81e7df02..0fae39d0 100644
--- a/tests/local_resolver_cases.py
+++ b/tests/local_resolver_cases.py
@@ -924,7 +924,7 @@ def golden_cases():
         from tests import saver_anchor_graphs as anchor
     except ImportError:  # pragma: no cover - discover -s tests puts tests/ first
         import saver_anchor_graphs as anchor
-    for name, graph, file_name in (
+    for name, graph, file_name in [
         ("branch-3", anchor.branch_bench(), "s45_branch_3_00002_.png"),
         ("branch-unanchored", anchor.branch_bench(), None),
         ("branch-no-match", anchor.branch_bench(), "photo_00001_.png"),
@@ -948,7 +948,17 @@ def golden_cases():
             anchor.hidden_earlier_prompt(override=True),
             "out_00001_.png",
         ),
-    ):
+    ] + [
+        (f"first-stage-{kind}", anchor.first_stage_variant(kind), "final_00003_.png")
+        for kind in (
+            "no-latent",
+            "literal-latent",
+            "missing-latent",
+            "cyclic-latent",
+            "stage-shaped",
+            "detailer",
+        )
+    ]:
         cases[f"anchor-{name}"] = {"prompt": _dump(graph)}
         if file_name is not None:
             cases[f"anchor-{name}"][FILE_NAME] = file_name
diff --git a/tests/saver_anchor_graphs.py b/tests/saver_anchor_graphs.py
index 621d049d..2008c0b9 100644
--- a/tests/saver_anchor_graphs.py
+++ b/tests/saver_anchor_graphs.py
@@ -179,3 +179,38 @@ def deep_prefixes(chain):
         previous = f"p{index}"
     graph["q"] = {"class_type": "DisplayText", "inputs": {"text": ["p0", 0]}}
     return graph
+
+
+def first_stage_variant(kind):
+    """``two_stage_same_conditioning`` whose first stage (63) is not plain.
+
+    ``no-latent`` drops its latent input (still plain); ``literal-latent``,
+    ``missing-latent``, ``cyclic-latent``, ``stage-shaped`` and ``detailer``
+    each make it something other than a plain first stage, so the later
+    stage stays unattributed.
+    """
+    graph = two_stage_same_conditioning()
+    inputs = graph["63"]["inputs"]
+    if kind == "no-latent":
+        del inputs["latent_image"]
+    elif kind == "literal-latent":
+        inputs["latent_image"] = "latent"
+    elif kind == "missing-latent":
+        inputs["latent_image"] = ["999", 0]
+    elif kind == "cyclic-latent":
+        graph["70"] = {"class_type": "VendorLatentOp", "inputs": {"samples": ["63", 0]}}
+        inputs["latent_image"] = ["70", 0]
+    elif kind == "stage-shaped":
+        graph["70"] = {
+            "class_type": "VendorSampler",
+            "inputs": {
+                "model": ["1", 0],
+                "positive": ["90", 0],
+                "latent_image": ["2", 0],
+            },
+        }
+        inputs["latent_image"] = ["70", 0]
+    elif kind == "detailer":
+        graph["63"]["class_type"] = "FaceDetailer"
+        inputs["image"] = ["30", 0]
+    return graph
diff --git a/tests/test_resolver_saver_anchor.py b/tests/test_resolver_saver_anchor.py
index e7210404..137c570d 100644
--- a/tests/test_resolver_saver_anchor.py
+++ b/tests/test_resolver_saver_anchor.py
@@ -133,3 +133,19 @@ class TestReviewFindings(unittest.TestCase):
                     file_name="dup_00001_.png",
                 )
                 self.assertNotEqual(result["state"], "resolved")
+
+
+class TestPlainFirstStage(unittest.TestCase):
+    def test_only_a_plain_first_stage_is_skipped(self):
+        expected = {
+            "no-latent": "resolved",
+            "literal-latent": "unresolved",
+            "missing-latent": "unresolved",
+            "cyclic-latent": "unresolved",
+            "stage-shaped": "unresolved",
+            "detailer": "unresolved",
+        }
+        for kind, state in expected.items():
+            with self.subTest(kind=kind):
+                result = _inspect(shapes.first_stage_variant(kind), "final_00003_.png")
+                self.assertEqual(result["state"], state, result["reason"])