[
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    "transaction_id": "828c4eb2-5e59-49b3-a7ef-e553e4cee42a",
    "timestamp": "2026-02-14T02:03:14.558777",
    "user_id": "system",
    "action": "GENERATE_CREDIT_MEMO",
    "model_version": "gpt-4-32k",
    "prompt_version": "2.1.4",
    "inputs": {
      "borrower_name": "Apple Inc.",
      "query": "Technology sector risks, App Store regulation and hardware margins, and AAPL financial performance"
    },
    "outputs": {
      "memo_summary_len": 170,
      "risk_score": 80.0
    },
    "citations_count": 1,
    "validation_status": "WARNING",
    "validation_errors": [
      "WARNING: Citation density 0.20 below threshold (0.5)."
    ]
  },
  {
    "transaction_id": "d4ce9437-2683-4040-8c17-81c87cdc735b",
    "timestamp": "2026-02-14T02:03:14.560594",
    "user_id": "system",
    "action": "GENERATE_CREDIT_MEMO",
    "model_version": "gpt-4-32k",
    "prompt_version": "2.1.4",
    "inputs": {
      "borrower_name": "Microsoft Corp",
      "query": "Technology sector risks, Cloud growth and AI integration costs, and MSFT financial performance"
    },
    "outputs": {
      "memo_summary_len": 171,
      "risk_score": 60.0
    },
    "citations_count": 1,
    "validation_status": "WARNING",
    "validation_errors": [
      "WARNING: Citation density 0.25 below threshold (0.5)."
    ]
  },
  {
    "transaction_id": "c4b71e3e-1623-49e6-83d6-80aacd1573e6",
    "timestamp": "2026-02-14T02:03:14.561654",
    "user_id": "system",
    "action": "GENERATE_CREDIT_MEMO",
    "model_version": "gpt-4-32k",
    "prompt_version": "2.1.4",
    "inputs": {
      "borrower_name": "NVIDIA Corp",
      "query": "Technology sector risks, Semiconductor demand sustainability, and NVDA financial performance"
    },
    "outputs": {
      "memo_summary_len": 168,
      "risk_score": 60.0
    },
    "citations_count": 1,
    "validation_status": "WARNING",
    "validation_errors": [
      "WARNING: Citation density 0.25 below threshold (0.5)."
    ]
  },
  {
    "transaction_id": "61a529a1-6f6c-472a-80ae-4b243f1a9dc4",
    "timestamp": "2026-02-14T02:03:14.562797",
    "user_id": "system",
    "action": "GENERATE_CREDIT_MEMO",
    "model_version": "gpt-4-32k",
    "prompt_version": "2.1.4",
    "inputs": {
      "borrower_name": "Alphabet Inc.",
      "query": "Technology sector risks, Ad revenue stability and antitrust risks, and GOOGL financial performance"
    },
    "outputs": {
      "memo_summary_len": 170,
      "risk_score": 60.0
    },
    "citations_count": 1,
    "validation_status": "WARNING",
    "validation_errors": [
      "WARNING: Citation density 0.20 below threshold (0.5)."
    ]
  },
  {
    "transaction_id": "b1bc44d9-6300-4e30-a323-3691aff90128",
    "timestamp": "2026-02-14T02:03:14.563738",
    "user_id": "system",
    "action": "GENERATE_CREDIT_MEMO",
    "model_version": "gpt-4-32k",
    "prompt_version": "2.1.4",
    "inputs": {
      "borrower_name": "Amazon.com Inc.",
      "query": "Consumer sector risks, Logistics costs and AWS margins, and AMZN financial performance"
    },
    "outputs": {
      "memo_summary_len": 179,
      "risk_score": 60.0
    },
    "citations_count": 1,
    "validation_status": "WARNING",
    "validation_errors": [
      "WARNING: Citation density 0.20 below threshold (0.5)."
    ]
  },
  {
    "transaction_id": "e2831aa8-17c3-4e7a-93b8-a37b035db6e1",
    "timestamp": "2026-02-14T02:03:14.564995",
    "user_id": "system",
    "action": "GENERATE_CREDIT_MEMO",
    "model_version": "gpt-4-32k",
    "prompt_version": "2.1.4",
    "inputs": {
      "borrower_name": "Tesla Inc.",
      "query": "Consumer sector risks, EV margin compression and production scaling, and TSLA financial performance"
    },
    "outputs": {
      "memo_summary_len": 169,
      "risk_score": 80.0
    },
    "citations_count": 1,
    "validation_status": "WARNING",
    "validation_errors": [
      "WARNING: Citation density 0.20 below threshold (0.5)."
    ]
  },
  {
    "transaction_id": "043da350-e7b0-4ef9-80ec-c5401611f86d",
    "timestamp": "2026-02-14T02:03:14.566156",
    "user_id": "system",
    "action": "GENERATE_CREDIT_MEMO",
    "model_version": "gpt-4-32k",
    "prompt_version": "2.1.4",
    "inputs": {
      "borrower_name": "Meta Platforms",
      "query": "Technology sector risks, Ad targeting efficiency and metaverse spend, and META financial performance"
    },
    "outputs": {
      "memo_summary_len": 171,
      "risk_score": 60.0
    },
    "citations_count": 1,
    "validation_status": "WARNING",
    "validation_errors": [
      "WARNING: Citation density 0.25 below threshold (0.5)."
    ]
  },
  {
    "transaction_id": "ce5dd12a-b03d-4ac9-8886-1910f5f135a1",
    "timestamp": "2026-02-14T02:03:14.567382",
    "user_id": "system",
    "action": "GENERATE_CREDIT_MEMO",
    "model_version": "gpt-4-32k",
    "prompt_version": "2.1.4",
    "inputs": {
      "borrower_name": "JPMorgan Chase",
      "query": "Financial sector risks, Commercial Real Estate exposure and net interest margin, and JPM financial performance"
    },
    "outputs": {
      "memo_summary_len": 182,
      "risk_score": 60.0
    },
    "citations_count": 1,
    "validation_status": "WARNING",
    "validation_errors": [
      "WARNING: Citation density 0.25 below threshold (0.5)."
    ]
  },
  {
    "transaction_id": "cb826fef-42c1-4af3-b1dc-f9064e7583ae",
    "timestamp": "2026-02-14T02:03:14.568352",
    "user_id": "system",
    "action": "GENERATE_CREDIT_MEMO",
    "model_version": "gpt-4-32k",
    "prompt_version": "2.1.4",
    "inputs": {
      "borrower_name": "Goldman Sachs",
      "query": "Financial sector risks, Investment banking deal flow recovery, and GS financial performance"
    },
    "outputs": {
      "memo_summary_len": 177,
      "risk_score": 60.0
    },
    "citations_count": 1,
    "validation_status": "WARNING",
    "validation_errors": [
      "WARNING: Citation density 0.25 below threshold (0.5)."
    ]
  },
  {
    "transaction_id": "be442a6a-312c-4cf0-8c57-9a9e0562b8f2",
    "timestamp": "2026-02-14T02:03:14.569300",
    "user_id": "system",
    "action": "GENERATE_CREDIT_MEMO",
    "model_version": "gpt-4-32k",
    "prompt_version": "2.1.4",
    "inputs": {
      "borrower_name": "Bank of America",
      "query": "Financial sector risks, Consumer credit quality and deposit beta, and BAC financial performance"
    },
    "outputs": {
      "memo_summary_len": 179,
      "risk_score": 60.0
    },
    "citations_count": 1,
    "validation_status": "WARNING",
    "validation_errors": [
      "WARNING: Citation density 0.25 below threshold (0.5)."
    ]
  }
]