{
  "schema": "https://verifyllmapi.com/schemas/model-fingerprint-atlas-v1",
  "productVersion": "0.3.2",
  "generatedAt": "2026-07-22",
  "reference": {
    "id": "pamela-openrouter-2026-07-8cell-ref-a",
    "sha256": "51f3f63cbcfb56b151055d2d10e36a9cc2f0644cc68b580784853d68951fa866",
    "bytes": 138504,
    "sourceDataset": "https://zenodo.org/records/21278557",
    "sourceDatasetDoi": "10.5281/zenodo.21278557",
    "transport": "OpenRouter",
    "referenceHalf": "temperature=1, even repetitions (A), up to 15 valid samples per cell",
    "selection": "Eight high-gap cells selected post hoc from the published split scores; calibration is not an independent holdout."
  },
  "methodology": {
    "paper": "https://arxiv.org/html/2607.10252v1",
    "dataset": "https://zenodo.org/records/21278557",
    "software": "https://zenodo.org/records/21278793",
    "distance": "Mean base-2 Jensen-Shannon divergence across the eight selected cells.",
    "decoding": "The author reference used temperature 1 and reasoning disabled. Current-Agent scans use the selected host default because Codex and Claude Code expose no supported temperature flag."
  },
  "probes": [
    {
      "id": "animal-random|en",
      "task": "Random animal",
      "language": "English",
      "languageCode": "en",
      "normalizeAs": "word",
      "system": "Answer with a single word or a single number only. Output nothing else: no explanation, no punctuation, no quotation marks.",
      "prompt": "Name a random animal."
    },
    {
      "id": "word-random|en",
      "task": "Random word",
      "language": "English",
      "languageCode": "en",
      "normalizeAs": "word",
      "system": "Answer with a single word or a single number only. Output nothing else: no explanation, no punctuation, no quotation marks.",
      "prompt": "Name a random word."
    },
    {
      "id": "animal-random|ru",
      "task": "Random animal",
      "language": "Russian",
      "languageCode": "ru",
      "normalizeAs": "word",
      "system": "Отвечай только одним словом или одним числом. Не выводи ничего больше: без объяснений, без знаков препинания, без кавычек.",
      "prompt": "Назови случайное животное."
    },
    {
      "id": "animal-random|ar",
      "task": "Random animal",
      "language": "Arabic",
      "languageCode": "ar",
      "normalizeAs": "word",
      "system": "أجب بكلمة واحدة أو رقم واحد فقط. لا تكتب أي شيء آخر: لا شرح ولا علامات ترقيم ولا علامات اقتباس.",
      "prompt": "اذكر حيواناً عشوائياً."
    },
    {
      "id": "letter-random|zh",
      "task": "Random character",
      "language": "Chinese",
      "languageCode": "zh",
      "normalizeAs": "grapheme",
      "system": "只用一个词或一个数字回答。不要输出任何其他内容：不要解释，不要标点符号，不要引号。",
      "prompt": "说出一个随机的汉字。"
    },
    {
      "id": "animal-random|zh",
      "task": "Random animal",
      "language": "Chinese",
      "languageCode": "zh",
      "normalizeAs": "word",
      "system": "只用一个词或一个数字回答。不要输出任何其他内容：不要解释，不要标点符号，不要引号。",
      "prompt": "说出一个随机的动物。"
    },
    {
      "id": "letter-random|ar",
      "task": "Random letter",
      "language": "Arabic",
      "languageCode": "ar",
      "normalizeAs": "grapheme",
      "system": "أجب بكلمة واحدة أو رقم واحد فقط. لا تكتب أي شيء آخر: لا شرح ولا علامات ترقيم ولا علامات اقتباس.",
      "prompt": "اذكر حرفاً عشوائياً من الحروف الأبجدية."
    },
    {
      "id": "color-random|zh",
      "task": "Random color",
      "language": "Chinese",
      "languageCode": "zh",
      "normalizeAs": "word",
      "system": "只用一个词或一个数字回答。不要输出任何其他内容：不要解释，不要标点符号，不要引号。",
      "prompt": "说出一个随机的颜色。"
    }
  ],
  "calibration": {
    "4x5": {
      "threshold": 0.6439,
      "eer": 0.117993,
      "far": 0.117974,
      "frr": 0.118012,
      "nGenuine": 161,
      "nImpostor": 25760
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      "threshold": 0.59653,
      "eer": 0.093168,
      "far": 0.093168,
      "frr": 0.093168,
      "nGenuine": 161,
      "nImpostor": 25760
    },
    "4x15": {
      "threshold": 0.576077,
      "eer": 0.081599,
      "far": 0.082453,
      "frr": 0.080745,
      "nGenuine": 161,
      "nImpostor": 25760
    },
    "8x5": {
      "threshold": 0.629197,
      "eer": 0.080745,
      "far": 0.080745,
      "frr": 0.080745,
      "nGenuine": 161,
      "nImpostor": 25760
    },
    "8x10": {
      "threshold": 0.592891,
      "eer": 0.068323,
      "far": 0.068323,
      "frr": 0.068323,
      "nGenuine": 161,
      "nImpostor": 25760
    },
    "8x15": {
      "threshold": 0.5812,
      "eer": 0.06712,
      "far": 0.065916,
      "frr": 0.068323,
      "nGenuine": 161,
      "nImpostor": 25760
    }
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    "namespaces": 30,
    "cells": 8,
    "totalReferenceSamples": 18996,
    "minSamplesPerModel": 77,
    "maxSamplesPerModel": 120,
    "closestPair": {
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      "sourcePath": "/fingerprints/qwen/qwen3-max/",
      "neighborModel": "qwen/qwen3-max-thinking",
      "neighborPath": "/fingerprints/qwen/qwen3-max-thinking/",
      "meanJsd": 0.02207
    },
    "mostIsolatedReference": {
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      "sourcePath": "/fingerprints/meta-llama/llama-3-8b-instruct/",
      "neighborModel": "meta-llama/llama-3.1-70b-instruct",
      "neighborPath": "/fingerprints/meta-llama/llama-3.1-70b-instruct/",
      "meanJsd": 0.862797
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    "titleLengthExceptions": []
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    "amazon": [
      "amazon/nova-2-lite-v1",
      "amazon/nova-lite-v1",
      "amazon/nova-micro-v1",
      "amazon/nova-premier-v1",
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    "anthropic": [
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      "anthropic/claude-sonnet-4.6",
      "anthropic/claude-sonnet-5"
    ],
    "baidu": [
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    "bytedance-seed": [
      "bytedance-seed/seed-1.6",
      "bytedance-seed/seed-1.6-flash",
      "bytedance-seed/seed-2.0-lite",
      "bytedance-seed/seed-2.0-mini"
    ],
    "cohere": [
      "cohere/command-a",
      "cohere/command-r-08-2024",
      "cohere/command-r-plus-08-2024",
      "cohere/command-r7b-12-2024"
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    "deepcogito": [
      "deepcogito/cogito-v2.1-671b"
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    "deepseek": [
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      "deepseek/deepseek-chat-v3-0324",
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      "deepseek/deepseek-v3.2-exp",
      "deepseek/deepseek-v4-flash",
      "deepseek/deepseek-v4-pro"
    ],
    "google": [
      "google/gemini-2.5-flash",
      "google/gemini-2.5-flash-lite",
      "google/gemini-3.1-flash-lite",
      "google/gemma-2-27b-it",
      "google/gemma-3-12b-it",
      "google/gemma-3-27b-it",
      "google/gemma-3-4b-it",
      "google/gemma-3n-e4b-it",
      "google/gemma-4-26b-a4b-it",
      "google/gemma-4-31b-it"
    ],
    "ibm-granite": [
      "ibm-granite/granite-4.0-h-micro",
      "ibm-granite/granite-4.1-8b"
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    "inception": [
      "inception/mercury-2"
    ],
    "inclusionai": [
      "inclusionai/ling-2.6-1t",
      "inclusionai/ling-2.6-flash"
    ],
    "liquid": [
      "liquid/lfm-2-24b-a2b"
    ],
    "meta-llama": [
      "meta-llama/llama-3-8b-instruct",
      "meta-llama/llama-3.1-70b-instruct",
      "meta-llama/llama-3.1-8b-instruct",
      "meta-llama/llama-3.2-11b-vision-instruct",
      "meta-llama/llama-3.2-3b-instruct",
      "meta-llama/llama-3.3-70b-instruct",
      "meta-llama/llama-4-maverick"
    ],
    "microsoft": [
      "microsoft/phi-4"
    ],
    "minimax": [
      "minimax/minimax-01",
      "minimax/minimax-m3"
    ],
    "mistralai": [
      "mistralai/ministral-14b-2512",
      "mistralai/ministral-3b-2512",
      "mistralai/ministral-8b-2512",
      "mistralai/mistral-large",
      "mistralai/mistral-large-2407",
      "mistralai/mistral-large-2512",
      "mistralai/mistral-medium-3",
      "mistralai/mistral-medium-3-5",
      "mistralai/mistral-medium-3.1",
      "mistralai/mistral-nemo",
      "mistralai/mistral-saba",
      "mistralai/mistral-small-24b-instruct-2501",
      "mistralai/mistral-small-2603",
      "mistralai/mistral-small-3.2-24b-instruct",
      "mistralai/mixtral-8x22b-instruct",
      "mistralai/voxtral-small-24b-2507"
    ],
    "moonshotai": [
      "moonshotai/kimi-k2",
      "moonshotai/kimi-k2-0905",
      "moonshotai/kimi-k2.5",
      "moonshotai/kimi-k2.6"
    ],
    "nousresearch": [
      "nousresearch/hermes-3-llama-3.1-405b",
      "nousresearch/hermes-3-llama-3.1-70b",
      "nousresearch/hermes-4-70b"
    ],
    "nvidia": [
      "nvidia/llama-3.3-nemotron-super-49b-v1.5",
      "nvidia/nemotron-3-nano-30b-a3b",
      "nvidia/nemotron-3-super-120b-a12b",
      "nvidia/nemotron-3-ultra-550b-a55b"
    ],
    "openai": [
      "openai/gpt-3.5-turbo",
      "openai/gpt-3.5-turbo-0613",
      "openai/gpt-3.5-turbo-instruct",
      "openai/gpt-4",
      "openai/gpt-4-turbo",
      "openai/gpt-4.1",
      "openai/gpt-4.1-mini",
      "openai/gpt-4.1-nano",
      "openai/gpt-4o",
      "openai/gpt-4o-2024-05-13",
      "openai/gpt-4o-2024-08-06",
      "openai/gpt-4o-2024-11-20",
      "openai/gpt-4o-mini",
      "openai/gpt-4o-mini-2024-07-18",
      "openai/gpt-5-chat",
      "openai/gpt-5.1",
      "openai/gpt-5.2",
      "openai/gpt-5.4",
      "openai/gpt-5.4-mini",
      "openai/gpt-5.4-nano",
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    "perceptron": [
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    "qwen": [
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      "qwen/qwen-2.5-7b-instruct",
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    "rekaai": [
      "rekaai/reka-edge"
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    "tencent": [
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      "tencent/hy3"
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    "upstage": [
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    "writer": [
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    "x-ai": [
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    "xiaomi": [
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            "鹿": 1
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        }
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      "mostDiverse": "animal-random|ar",
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