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          "image_sha256": "b7bad1609716d125e41e0ec8c70017777b8f6e14f3bea324d77bf70511b206cb"
        },
        {
          "model": "NSRLLMM1",
          "prompt_id": "stolas",
          "prompt_kind": "fixed-known",
          "prompt": "seal of Stolas",
          "seed": "1",
          "top_k": "1",
          "width": "192",
          "height": "192",
          "text_source": "embedded_text_lm_strict",
          "image_source": "embedded_image_memory_strict",
          "text_lm_fallback": "false",
          "text": "Solomon selects Stolas: He teacheth the Art of Astronomy, and the Virtues of Herbs and Precious Stones.",
          "image_path": "docs/assets/results-samples/stolas.png",
          "model_hash": "0xff009204cd3d1767",
          "token_hash": "0x4ddd78e1d39fc115",
          "image_sha256": "1b026f0894c0070069df65e8b0bda5b1ca7bedd29727649b0e6895aeb1c3dd25"
        },
        {
          "model": "NSRLLMM1",
          "prompt_id": "marbas",
          "prompt_kind": "fixed-known",
          "prompt": "seal of Marbas",
          "seed": "1",
          "top_k": "1",
          "width": "192",
          "height": "192",
          "text_source": "embedded_text_memory_guard",
          "image_source": "embedded_image_memory_strict",
          "text_lm_fallback": "true",
          "text": "Solomon selects Marbas: He is a Great President, and appeareth at first in the form of a Great Lion, but afterwards, at the request of the Master, he putteth on Human Shape.",
          "image_path": "docs/assets/results-samples/marbas.png",
          "model_hash": "0xff009204cd3d1767",
          "token_hash": "0x4ddd78e1d39fc115",
          "image_sha256": "828c80b1a1a0f1930a7a106664e7571547e0c03106d36c17c96bb28ad844c96d"
        },
        {
          "model": "NSRLLMM1",
          "prompt_id": "generic",
          "prompt_kind": "fixed-generic",
          "prompt": "king solomon seal",
          "seed": "1",
          "top_k": "1",
          "width": "192",
          "height": "192",
          "text_source": "embedded_text_lm_strict",
          "image_source": "embedded_image_memory_strict",
          "text_lm_fallback": "false",
          "text": "Solomon selects Ronove: He teacheth the Art of Rhetoric very well and giveth Good Servants, Knowledge of Tongues, and Favours with Friends or Foes.",
          "image_path": "docs/assets/results-samples/generic.png",
          "model_hash": "0xff009204cd3d1767",
          "token_hash": "0x4ddd78e1d39fc115",
          "image_sha256": "7f77674d9b456475be3a5fadfed0c85f7621bbf80df4dcf963eaef6b8598b640"
        },
        {
          "model": "NSRLLMM1",
          "prompt_id": "eastern-king",
          "prompt_kind": "fixed-held-out-phrase",
          "prompt": "eastern king invisible spirit",
          "seed": "1",
          "top_k": "1",
          "width": "192",
          "height": "192",
          "text_source": "embedded_text_memory_guard",
          "image_source": "embedded_image_memory_strict",
          "text_lm_fallback": "true",
          "text": "Solomon selects Marbas: He is a Great President, and appeareth at first in the form of a Great Lion, but afterwards, at the request of the Master, he putteth on Human Shape.",
          "image_path": "docs/assets/results-samples/eastern-king.png",
          "model_hash": "0xff009204cd3d1767",
          "token_hash": "0x4ddd78e1d39fc115",
          "image_sha256": "828c80b1a1a0f1930a7a106664e7571547e0c03106d36c17c96bb28ad844c96d"
        },
        {
          "model": "NSRLLMM1",
          "prompt_id": "owl-astronomy",
          "prompt_kind": "fixed-held-out-phrase",
          "prompt": "owl astronomy seal",
          "seed": "1",
          "top_k": "1",
          "width": "192",
          "height": "192",
          "text_source": "embedded_text_lm_strict",
          "image_source": "embedded_image_memory_strict",
          "text_lm_fallback": "false",
          "text": "Solomon selects Murmur: and appeareth in the Form of a Warrior riding upon a Gryphon, with a Ducal Crown upon his Head.",
          "image_path": "docs/assets/results-samples/owl-astronomy.png",
          "model_hash": "0xff009204cd3d1767",
          "token_hash": "0x4ddd78e1d39fc115",
          "image_sha256": "da0d171cae35795c3cedf0a99711501d167a157b6717e556013c1de086b3ffab"
        }
      ],
      "best": []
    }
  ],
  "models": [
    {
      "id": "nsrllmm1",
      "name": "NSRLLMM1",
      "role": "attention joint text/image-token model",
      "status": "probe-gated + raw control",
      "summary": "Current browser artifact path. The probe suite exercises prompt-scoped text, embedded image memory, raw name logits, and source-specific body-start logits. The raw no-memory row is a free-running negative control and should not be read as browser-path quality.",
      "metrics": [
        {
          "label": "Artifact probe suite",
          "value": "72/72",
          "detail": "100%. All configured prompt samples passed the browser sampler gate.",
          "bar": 100
        },
        {
          "label": "Constrained name-logit top-1",
          "value": "72/72",
          "detail": "100%. Expected spirit name token after `Solomon selects `; median rank 1; worst rank 1.",
          "bar": 100
        },
        {
          "label": "Constrained body-start top-1",
          "value": "72/72",
          "detail": "100%. First source prose token after the name opening; median rank 1; worst rank 1.",
          "bar": 100
        },
        {
          "label": "Raw no-memory name match",
          "value": "0.0%",
          "detail": "0 per mille from raw-no-memory / 72 prompts / 0xff009204cd3d1767 (prompt_name_match_per_mille).",
          "bar": 0
        },
        {
          "label": "Raw text quality score",
          "value": "27/100",
          "detail": "mean_raw_quality_score from raw-no-memory / 72 prompts / 0xff009204cd3d1767.",
          "bar": 27
        },
        {
          "label": "Raw scaffold outputs",
          "value": "76.3%",
          "detail": "763 per mille from raw-no-memory / 72 prompts / 0xff009204cd3d1767 (scaffold_output_per_mille).",
          "bar": 76.3
        }
      ],
      "evidence": [
        "scripts/check-solomon-attention-web-quality.mjs --all-names --summary",
        "scripts/probe-solomon-attention-raw-rank.mjs --all-names --summary",
        "scripts/probe-solomon-attention-body-start-rank.mjs --summary",
        "docs/solomon-attention-eval.tsv"
      ]
    },
    {
      "id": "nsrllat1",
      "name": "NSRLLAT1",
      "role": "prompt-to-layout latent prior",
      "status": "published evals",
      "summary": "Prompt/layout prior measured on checked-in train/eval/gold prompt partitions and the clean 72 held-out generation prompt set. The clean-72 row is the fast planner target to improve before rerunning bitmap generation.",
      "metrics": [
        {
          "label": "Clean-72 planner top-1",
          "value": "4.1%",
          "detail": "41 per mille from ld128tf1024 / 72 prompts (top1_per_mille).",
          "bar": 4.1
        },
        {
          "label": "Clean-72 planner top-5",
          "value": "8.3%",
          "detail": "83 per mille from ld128tf1024 / 72 prompts (top5_per_mille).",
          "bar": 8.3
        },
        {
          "label": "Best eval top-1",
          "value": "20.0%",
          "detail": "200 per mille from 576 prompt rows / latent 32 / text 512 / 0ce31085 (eval_top1_per_mille).",
          "bar": 20
        },
        {
          "label": "Best eval top-5",
          "value": "46.2%",
          "detail": "462 per mille from 576 prompt rows / latent 32 / text 512 / 0ce31085 (eval_top5_per_mille).",
          "bar": 46.2
        },
        {
          "label": "Best gold top-1",
          "value": "25.0%",
          "detail": "250 per mille from 288 prompt rows / latent 32 / text 512 / c98fc237 (gold_top1_per_mille).",
          "bar": 25
        },
        {
          "label": "Best shape-probe eval top-1",
          "value": "23.7%",
          "detail": "237 per mille from 576 prompt rows / latent 128 / text 8192 / 4fcc02bd (eval_top1_per_mille).",
          "bar": 23.7
        }
      ],
      "evidence": [
        "docs/solomon-latent-planner-eval.tsv",
        "docs/solomon-eval-scaling-curve.tsv",
        "docs/solomon-text-feature-shape-probe.tsv"
      ]
    },
    {
      "id": "nsrltch",
      "name": "NSRLTCH",
      "role": "text-conditioned bitmap denoiser",
      "status": "published evals",
      "summary": "The denoiser artifact is scored on learned latent-conditioned generations. The oracle-conditioning diagnostic is an upper bound only: it gives the denoiser the true 16x16 target plan to separate planner failure from renderer/retrieval failure.",
      "metrics": [
        {
          "label": "Published artifact",
          "value": "present",
          "detail": "10.3 KiB / sha256 a60497cd3720",
          "bar": 100
        },
        {
          "label": "Best generated top-1",
          "value": "4.1%",
          "detail": "41 per mille from centroid16 / 24 prompts (top1_per_mille).",
          "bar": 4.1
        },
        {
          "label": "Best generated top-5",
          "value": "4.1%",
          "detail": "41 per mille from centroid16 / 24 prompts (top5_per_mille).",
          "bar": 4.1
        },
        {
          "label": "Best latent top-1",
          "value": "8.3%",
          "detail": "83 per mille from centroid16 / 24 prompts (latent_top1_per_mille).",
          "bar": 8.3
        },
        {
          "label": "Oracle-plan signature top-1",
          "value": "98.6%",
          "detail": "986 per mille from 72 prompts (signature_top1_per_mille).",
          "bar": 98.6
        },
        {
          "label": "Oracle-plan retrieval top-1",
          "value": "18.0%",
          "detail": "180 per mille from 72 prompts (retrieval_top1_per_mille).",
          "bar": 18
        },
        {
          "label": "Best target distance",
          "value": "5,849,621",
          "detail": "mean_generated_target_distance_q8 from aws-e8 / 24 prompts. Lower is better.",
          "bar": null
        }
      ],
      "evidence": [
        "web/assets/solomon-model.nsrltch",
        "docs/solomon-generative-eval.tsv",
        "docs/solomon-oracle-condition-diagnostic.tsv"
      ]
    },
    {
      "id": "nsrlmod1",
      "name": "NSRLMOD1",
      "role": "coarse joint text/image-token model",
      "status": "published evals",
      "summary": "The multimodal fallback artifact is scored on tracked corpus replay: next-token ranks over prompt bytes, generated text bytes, marker tokens, and 16x16 image bins. This is artifact-native replay quality, not broad free-running quality.",
      "metrics": [
        {
          "label": "Published artifact",
          "value": "present",
          "detail": "17.1 MiB / sha256 ef57fc5ad94c",
          "bar": 100
        },
        {
          "label": "Overall replay top-1",
          "value": "99.4%",
          "detail": "994 per mille from deployed / 313 examples / 0x8057e681de909abc (overall_top1_per_mille).",
          "bar": 99.4
        },
        {
          "label": "Text replay top-1",
          "value": "99.6%",
          "detail": "996 per mille from deployed / 313 examples / 0x8057e681de909abc (text_top1_per_mille).",
          "bar": 99.6
        },
        {
          "label": "Image-token top-1",
          "value": "100.0%",
          "detail": "1000 per mille from deployed / 313 examples / 0x8057e681de909abc (image_top1_per_mille).",
          "bar": 100
        },
        {
          "label": "Exact examples",
          "value": "0.3%",
          "detail": "3 per mille from deployed / 313 examples / 0x8057e681de909abc (exact_examples_per_mille).",
          "bar": 0.3
        }
      ],
      "evidence": [
        "web/assets/solomon-multimodal.nsrlmod",
        "docs/solomon-multimodal-eval.tsv",
        "scripts/run-solomon-multimodal-eval.mjs"
      ]
    }
  ],
  "samplePanels": [
    {
      "id": "nsrllat1-routing",
      "model": "NSRLLAT1",
      "title": "Latent Prior Routing",
      "outcome": "Best checked-in routing row",
      "summary": "Prompt-to-layout routing is scored on held-out Solomon prompt partitions. This panel shows the strongest eval top-1 row now published.",
      "metrics": [
        {
          "label": "Eval top-1",
          "value": "20.0%"
        },
        {
          "label": "Eval top-5",
          "value": "46.2%"
        },
        {
          "label": "Gold top-5",
          "value": "27.7%"
        }
      ],
      "evidence": [
        "docs/solomon-eval-scaling-curve.tsv",
        "576 prompt rows / latent 32 / text 512 / 0ce31085"
      ]
    },
    {
      "id": "nsrltch-generative",
      "model": "NSRLTCH",
      "title": "Generated Seal Retrieval",
      "outcome": "Class-head generation eval",
      "summary": "Generated bitmap seals are checked against target retrieval. The image panel is the tracked visual sample; the numbers come from the generative eval table.",
      "image": {
        "src": "assets/solomon-text-conditioned-seals.png",
        "alt": "NSRLTCH text-conditioned seal panel"
      },
      "metrics": [
        {
          "label": "Generated top-1",
          "value": "4.1%"
        },
        {
          "label": "Generated top-5",
          "value": "4.1%"
        },
        {
          "label": "Latent top-1",
          "value": "8.3%"
        }
      ],
      "evidence": [
        "docs/solomon-generative-eval.tsv",
        "docs/assets/solomon-text-conditioned-seals.png"
      ]
    },
    {
      "id": "nsrltch-oracle-conditioning",
      "model": "NSRLTCH",
      "title": "Oracle Conditioning Split",
      "outcome": "Diagnostic upper bound; not headline evidence",
      "summary": "The denoiser receives the true held-out 16x16 target plan here. This isolates the current failure: the learned planner is the first blocker, while rendered-image retrieval remains a separate weak gate.",
      "metrics": [
        {
          "label": "Signature top-1",
          "value": "98.6%"
        },
        {
          "label": "Signature top-5",
          "value": "100.0%"
        },
        {
          "label": "Retrieval top-1",
          "value": "18.0%"
        },
        {
          "label": "Retrieval top-5",
          "value": "52.7%"
        }
      ],
      "evidence": [
        "docs/solomon-oracle-condition-diagnostic.tsv",
        "scripts/run-solomon-oracle-condition-diagnostic.mjs"
      ]
    },
    {
      "id": "nsrlmod1-replay",
      "model": "NSRLMOD1",
      "title": "Text/Image Token Replay",
      "outcome": "Tracked corpus replay",
      "summary": "The multimodal artifact is scored on next-token replay over prompt bytes, generated text bytes, marker tokens, and 16x16 image bins.",
      "metrics": [
        {
          "label": "Overall top-1",
          "value": "99.4%"
        },
        {
          "label": "Text top-1",
          "value": "99.6%"
        },
        {
          "label": "Image top-1",
          "value": "100.0%"
        },
        {
          "label": "Context hit",
          "value": "100.0%"
        }
      ],
      "evidence": [
        "docs/solomon-multimodal-eval.tsv",
        "deployed / 313 examples / 0x8057e681de909abc"
      ]
    },
    {
      "id": "nsrllmm1-control",
      "model": "NSRLLMM1",
      "title": "Probe-Gated Artifact, Raw Control",
      "outcome": "Browser probes pass; raw no-memory control fails name binding",
      "summary": "The browser artifact path is probe-gated separately from native free-running sampling with memory and conditioning disabled.",
      "sample": {
        "label": "seal of Bael",
        "text": "---He is of the Goetia and teacheth with his ART in LINE."
      },
      "metrics": [
        {
          "label": "Artifact prompts",
          "value": "72/72"
        },
        {
          "label": "Name-logit top-1",
          "value": "72/72"
        },
        {
          "label": "Body-start top-1",
          "value": "72/72"
        },
        {
          "label": "Raw name match",
          "value": "0.0%"
        },
        {
          "label": "Raw text score",
          "value": "27/100"
        }
      ],
      "evidence": [
        "docs/solomon-attention-eval.tsv",
        "scripts/check-solomon-attention-web-quality.mjs --all-names --summary"
      ]
    }
  ],
  "promptSamples": [
    {
      "id": "bael",
      "model": "NSRLLMM1",
      "promptKind": "fixed-known",
      "prompt": "seal of Bael",
      "textSource": "embedded_text_lm_strict",
      "imageSource": "embedded_image_memory_strict",
      "textFallback": "false",
      "text": "Solomon selects Bael: He maketh thee to go Invisible.",
      "image": {
        "src": "assets/results-samples/bael.png",
        "alt": "seal of Bael sample"
      },
      "traceHref": "assets/solomon-sample-gallery.tsv",
      "modelHash": "0xff009204cd3d1767"
    },
    {
      "id": "stolas",
      "model": "NSRLLMM1",
      "promptKind": "fixed-known",
      "prompt": "seal of Stolas",
      "textSource": "embedded_text_lm_strict",
      "imageSource": "embedded_image_memory_strict",
      "textFallback": "false",
      "text": "Solomon selects Stolas: He teacheth the Art of Astronomy, and the Virtues of Herbs and Precious Stones.",
      "image": {
        "src": "assets/results-samples/stolas.png",
        "alt": "seal of Stolas sample"
      },
      "traceHref": "assets/solomon-sample-gallery.tsv",
      "modelHash": "0xff009204cd3d1767"
    },
    {
      "id": "marbas",
      "model": "NSRLLMM1",
      "promptKind": "fixed-known",
      "prompt": "seal of Marbas",
      "textSource": "embedded_text_memory_guard",
      "imageSource": "embedded_image_memory_strict",
      "textFallback": "true",
      "text": "Solomon selects Marbas: He is a Great President, and appeareth at first in the form of a Great Lion, but afterwards, at the request of the Master, he putteth on Human Shape.",
      "image": {
        "src": "assets/results-samples/marbas.png",
        "alt": "seal of Marbas sample"
      },
      "traceHref": "assets/solomon-sample-gallery.tsv",
      "modelHash": "0xff009204cd3d1767"
    },
    {
      "id": "generic",
      "model": "NSRLLMM1",
      "promptKind": "fixed-generic",
      "prompt": "king solomon seal",
      "textSource": "embedded_text_lm_strict",
      "imageSource": "embedded_image_memory_strict",
      "textFallback": "false",
      "text": "Solomon selects Ronove: He teacheth the Art of Rhetoric very well and giveth Good Servants, Knowledge of Tongues, and Favours with Friends or Foes.",
      "image": {
        "src": "assets/results-samples/generic.png",
        "alt": "king solomon seal sample"
      },
      "traceHref": "assets/solomon-sample-gallery.tsv",
      "modelHash": "0xff009204cd3d1767"
    },
    {
      "id": "eastern-king",
      "model": "NSRLLMM1",
      "promptKind": "fixed-held-out-phrase",
      "prompt": "eastern king invisible spirit",
      "textSource": "embedded_text_memory_guard",
      "imageSource": "embedded_image_memory_strict",
      "textFallback": "true",
      "text": "Solomon selects Marbas: He is a Great President, and appeareth at first in the form of a Great Lion, but afterwards, at the request of the Master, he putteth on Human Shape.",
      "image": {
        "src": "assets/results-samples/eastern-king.png",
        "alt": "eastern king invisible spirit sample"
      },
      "traceHref": "assets/solomon-sample-gallery.tsv",
      "modelHash": "0xff009204cd3d1767"
    },
    {
      "id": "owl-astronomy",
      "model": "NSRLLMM1",
      "promptKind": "fixed-held-out-phrase",
      "prompt": "owl astronomy seal",
      "textSource": "embedded_text_lm_strict",
      "imageSource": "embedded_image_memory_strict",
      "textFallback": "false",
      "text": "Solomon selects Murmur: and appeareth in the Form of a Warrior riding upon a Gryphon, with a Ducal Crown upon his Head.",
      "image": {
        "src": "assets/results-samples/owl-astronomy.png",
        "alt": "owl astronomy seal sample"
      },
      "traceHref": "assets/solomon-sample-gallery.tsv",
      "modelHash": "0xff009204cd3d1767"
    }
  ],
  "honesty": {
    "status": "passed",
    "errors": []
  }
}
