{
  "schemaVersion": 1,
  "lessonId": "recovery-03",
  "contentHash": "7a9557db16fcc99d2f36eb35d15264536a412380c94f1a1ecada3fae051b2b13",
  "executedAt": "2026-10-20T10:46:42.170123+00:00",
  "environment": {
    "backend": "cpu",
    "deviceCount": 1,
    "python": "3.14.3",
    "jax": "0.9.2",
    "numpy": "2.4.4",
    "matplotlib": "3.10.8"
  },
  "stdout": "Restored step: 3\nOptimizer count: 3\nNext update and loss agree; checkpoint exists: True\nRestored step: 3\nOptimizer count: 3\nNext update and loss agree; checkpoint exists: True\nModel-only checkpoint produces a different Adam update\nReset key changes the noisy objective and continuation stream\nFull restore Adam count: 4; reset memory count: 1; next parameters differ.\nExpected changed configuration rejection\nExpected exact key-data mismatch\nPASS: recovery-03\n",
  "notebookCells": [
    {
      "sourceHash": "afff9ab9f31643131aff518a0ef57a5e93833344e7894de25edfe7b2b94b5904",
      "outputs": []
    },
    {
      "sourceHash": "54e609e1a760f9ec287eb3b71b2f5441b1d272b2733c8418cb19ae9c318ffb0f",
      "outputs": []
    },
    {
      "sourceHash": "a644246181c5fd00c99d79f7d2024437f40abf32d483cea7d611ee0121eb2798",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Restored step: 3\n",
            "Optimizer count: 3\n",
            "Next update and loss agree; checkpoint exists: True\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "75b2d11b40b39a27fe361e3fe46067d19721894f29f743e88cfa9947240f14d9",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Restored step: 3\n",
            "Optimizer count: 3\n",
            "Next update and loss agree; checkpoint exists: True\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "79c4d01fb15323f18f625a56699986d6411df514bdd556ae1b985ffd7ae8dbe3",
      "outputs": []
    },
    {
      "sourceHash": "25df6d662f9d3f0c4e984c6a201f79fa0cfd7a2633dc4b0773dfba6c2dd4ee6c",
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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8zO+HJ0+eyrYtu2Trxh1y7Og/cvPGTXMMtZaLHvdadd+UBo3qSLx48Rx+lmz0PaUXG33ddbuwfh4CHvegv0sSJkpoPiub1m+TWzfviFtSV7N+lx5tnb7flR6LH6fMkc0bd8idW3dNjZripYpIuw7vS978uV/YvrC+x/R3YvN3O5j3f/lKpWXytG/ExcUl2H77/G+wrF+72fztWLBshqRKnTJUxwsAohoCGACAZTQQGDLoa/t/fuPFjydurq5y48YtU9Rzx7Y9kiZNKqlWvVKwbX18fKV9q4/k8KFjZrsE8eObIpZ6Ir1390H5fGQ/eadxPYcnABPG/CCzp/9qvy9xksTy+MkT+efEaXNZtthdJk37WvLkfSPY9qdOnjFhiZ78qjhx4piTF28vbzl86LZpz/17ntJv0P9CdQz++nOTfNZ/pDx69FgaNX1bBg3tbU72gjp65IQM/2y0eY7a3jhx48jNG7fkj9//NCc0478fJWXLl3QYcPXo1N88L3OM48U129+4flPWrt5oLm3aN5de/brKy3j2/Ln07vGZCaN034kSJZIHD3zMcdDLxfMe0vWjD+3r68lW6jSpzEnz8+fPzcmpngwGFMfB838Rfb8M6jfSHJOECROYkzh9jHVrNpm2DR01QN5uWCvYdkM++cp+8mt7/2mgdvGCh7no8f1y7OcO34MB31MDew+TNas22N8PQV/DNs272W8nSpTQBGyenl5y/OhJc9Hw5oeZ4yVbdudBmr72up+Tx09LggQJzHtAgxx9jrt27JOf5nxrwotuHfqZfdrW0WLHesKsn4sZ8yc5rLmjs+z06zVEdm3fZ79PXxvdVo+PXvSkeeLUr+yBqL5u+lrev+8pT588Ne8rfX0Dihc/fqCfNRga9/X38uzZM/99JExgrs+dvWguvy9dJWMmDjfBojO/zlsq33wx0Rx3t6RuDj8vL+tVfj8c2n9YPu42KNDxS5Qwody7e19279xvLlrnZfKP30jChP+955OnSGqOo/4O0d8Dekz0edkE/Xy8Kg1hh376tdy5fddeK0Zvr3FfL9s375Kf5k10+Lvv5InT0qVdb/N8TLsSJhBfH1+z3ca/tsroCcNCfNyXeY9pwDNqzGDp2Poj2b5lt8yZ8au0af9+oP0umP+bCV/0szfi608JXwBEb34AAFhg+5bdfsXzVfUrmqeyX4smnfx27djn9+TJE7NMr4/8fcxvzJeT/XZu3xtouzrV3jPbVC5dz696xXf91q/d7Pf4sf92585c8Gv1XhezvHyxWn6enl7BHnfqd7PM8qpl6vvNn73I7/btu+b+p0+fmsds3/Ijs7x2taZ+Pg98Am17/doNv7cqvGOW62OvWLba74H3A/vyC+cv+c3+6Re/OTN+DbTd4AGjzDZ6HdAvc5fYj8EPk2YGa+vlS1fMMr1UKlXXr/HbbfwO7DtsX75/7yG/d+u0tC+/fu1moO31ObVu1tUsL1u0pt/SRX/4PXz40P5cPu0/0r7/BfOXBnt8Z+1WtuOkr0OF4rX9li1e6efr67/va1ev+33UZaBZrs/v/LlLwba3vY6/L3H3exUBj0+tKo39tmza4ffs2TOz7OSJ0/bnX7Lgm34njp8Ktv03X0z0+3XeUr/zZy/at9PjptsO+Hio/b104/otp8dHl5csUM1v5o/z/Tzve5pleiz0ONh81HmA36o//gr0Gj169Mh8DvT9r/v5oHFHh8/Rdqz0Odau2sRv88Ydpo3Pnz/3O3TgiF/dN/2Xf9jif369ug3yX2fDdvs6fx88al+nXYsewfavz7tLu95meZO32/itW7PJ/r7W56E/13urmVneu8dnTt8LUybOCPG10s+L7b34w+SZ5j2o7dPHP33qnNm3Lq9Ysq7f1Sv/HTul7xNdVqZwdXOsP+03wu+yx1WzTPehn73QCum99yq/Hw4fOuY3YvBovx1bdwf63ePl5W0+e9Ur+v/uGPvVdw7bFdLnLayfhz079zv9XaKfWf1c6POx/b7dsW2P+Z3m7D2i7wfbe6hGpUbm/RX0c6bvT2eP/6rvsZ+mzLF/jvU42+hnunSh6mbZxLFTX/q4AUBUQQADAAh3ejLzdvXm5kuzBia2UCAsJ0/6pfv0P2eDLdcTJj1J03VWLl8TaNmVy9fMF3jd9ujhEw73r2HO++92MNvrCVhAn/X/wn4C43HpSqjbHPTESk8Yvx3zg7mvRP5qfksWrnC4XdCTpps3gocAekKvJ6y6zpfDxwdatmbVevv2eoLjyMfdB9lPOG0BirN2B2Q7EdWLnrwFpeGCnqjp8h+nzLE8gNHX9dTJM8GW60me7cROQ5Cw6tGpv9PnYDs+epk3a+FLPwdvrwf2YO/Avr+dHit9X2tQFJSGlLZ2OFtHXyPbOhp8BOS+Yq25v0HND/zu3/MPkILSz44GJ7pe0CArNAGMvg5VSr9t1tu0fpvT9WzB3ehRkxwGMHrRkOlVOHvvvervhxfRwMMW2Dn6nRdRAUzDWi38fHx8g227cd1W+zoBw0M166ef/T9nBao5DDIDfs4cPf6rvsc0wOnc7mOzTB9HQy0NwN6p7R9At2nezR7gA0B0RhFeAEC406EQHpeumNt9BnYP1B0/tN6qWdnhTCGpUqWQwkUL2IcLBbT8t1VmqETZCiWd1gTRoSu1365ubms9Bxutq6F1N1TrD5uHqcZL0DoRgweOklk//my6/4+bPNIMPXqRJs0aOJwOOl36NNL4Pf/tbe2zWb1ynbnOlz+3vFmjssP9du/ZwVxrzZIdW3eH+fkUKVbQ4dAnHf5SvmIph6+DFarXrCJv5H492P1JXJNI6w+bmdtbN+8yw4vCQmuLqAN7/3a6jk4b/N7778jL0lo1JUr51+HZH8LjvFWzimTLkSXY/SVLFzXHW1Wv5XgdrWdjW+fkicCvh9bvUU2aNzBDPhzRGi2l/60pokNBwmrd2s1mqFKu3K+bOkfOaD0d/8f477MXVIcuLcUKr/L7ITQKFMpnhsfo8EkdRhZZ9POgQ+CCqlC5jMT/d8iY1rYK6M+V/r9bdCieo+FJ+jnT2lvOvOp7TIcXjfx3eJEO/xzx+RgZNWy8nD930Xz+dJhS0No6ABAd8ZsMABDuDu47bK5TpExuTuBfRsHC+ZwuS5sujbnWE76ADuzzP7nVOjHVK77rdPtHDx+Z66tXrtvvO3r4hDx58sTcrhLCCWRItDbKR50HyM7te81zn/jDV1KoSP5QbVvGQchhU6pscVOzQmszaLFNWwHbY0dO+m9bwfm2GmLp8dLaKfocQ6p1El6vgxXKlC8R4vFRWnPm5LFTwYrCHtx/RJYtWWkK5V6/esOEbdoLOCBTLNaJgoXySfwEgWudBKX70xoxf7qvkxPHTsvdO3dNMeegbly7GeZjrTVQ9P2kdX30JP9F62gtDhutxaLPW/30w9xAtU+C0holSguihpXts6d1dUL67Nk+YwE/ewFp/Zx8BRyHI6/qVX4/2Pg88DEFr7ds3CFnz1wwRWRtzymg6yG8zlYr6OR3jgYYWpxb3yPa7oBFvE/94x/ahVSbx9my8HqPaQCtIUz3jv1M3RmbISMHSMZMGZzuEwCiEwIYAEC4u3XrtrnWGU1elhZvdMZWlPPpE/9CnwEL0iotHKmXF3no+98JshY7tXnZL/taKNJm7KQRoQ5flM7K40z69Gn/a+ftu/YARmdKUhkczCoTUIbX0pkA5s6duxIRr4MV0qX77xi86PgENGncNJkxbb79Z1sRXVtvET3Z1uK3Ib1fUqVOEWLbNNDp1W2Q7N7xX/FRLfibPHkyc61sBVh9fZ0/TkjTE9uOdWjW0V4eNvfve5nHVQFPukP7uQgt22dPH+vRozsvfgwH4ZTS2Yf0NbLCq/x+sIVLndv1lmsBghkNjFzdktuPva34tL4nIotbmN8jnvL0qf9nOF2Az1JQ6TM4Xhae77FyFUtJw8Z1ZdnileZnva29IQEgpiCAAQCEO0fTiEaE58+em+tW7ZpJ7wH/zUoTGuHR5BKlispljyty7eoNGfn5GJk661tJmy74sCJEDO2JZAtfGr9XX5p+8I7kfCN7oKEMOrX28M++0ZmSnYoTJ+RZeGZMnWfCF501pttH7eWtWlVMiBfwc6AzYel06iE9jhWe/zsbkZow5csQhweFx2dPh1HpLEcv60XHOrJ+P9hm1NLwJUPG9NKrbxfT80qHRAZUu2oT/94vEf1CR6LwfI9pSKZTZ9sc/fu4PHr06KWGsQJAVEQNGABAuNMpV192KEN4PK5OWRz2bf8LSl5me6Un3dPnTjTXOuVuh1YfyfVrN0K1rU7N7XTZ9f+WpU6dMljPjBcNd9BAyKyf6r9to5sbN26G+fjYauRoDZvPhvc1tS2C1pG4ddO/V8SrsD1Ox66tpXV7//pBQUPImzdf3CvECslTJDfTh7/K+9rqz15EeZU26mfo4H7/oZVfjvlcatV9M1j48vTpU/sUztGJ9tSy9YzR4UnOOPs9E17vMe059NmAL0wvIv0dqr3vTp86J6NHTX7pfQJAVEMAAwAId0WLFzLXejKi9TciSrES/o+7Z9f+MA8B0KKctgKVAf8DG1Y6PGj6vEmSJVsmM2ShQ6ueoTop2bNzv/Nlu/yXpUiR3D78yL/Nec31rh17nW579sx5M/xIFSjkv35EiBPHP4AIWmvlZe3ZecDpst3/Hh8dupInfy77/VrvReUtkNvptju3OT92oXXtWsiP88DbR44cOiaRQYvKFizsPxRu84btlr2WRf/97P1z4nSoQ8eI9iq/H2whpspX4L/3WEBayNk2FCc60fpGufPkNLd37wrhc7Zjv2XvMTVz2nzTk0yH7X09fqgMGtrb3L9kwXL5689NL71fAIhKCGAAAOFOZ23JkjWTuT3u6+9MF/KIoPUC9D+xWodg8vgfX/jf1oDFSnXWkNr13jK358xcYGbieFlac+WnORMle46sZjYoDWFss0I5s/jX5XInSP0SWw8NLfqp9L/uAdnaq8V4nYVG33073R7elKtYWiKK1llRngGO8atYu3qjnDl9Ptj9Wstj3syF5naFSmUkaVI3+zKdPcUWCjiix2z/3kOv3DbbY/4TZPYhm6nfzTIz40SWRv/OorVj255AdYoc0SKzWpQ1rK9ljdpVzew3WpD1my8mms9XSO7fs75wc3j+frC9l5y9zjr72eRvf5LoqmbdauZa3x+OZjXTz9mcGb9a9h47dOCI/DB5prndo1cHU5C6ztvVpWGjOua+4YO/idK9qwAgtAhgAADhTruzDxzcy/RIOHzomAkgtIeHnpzZuurrrBlaJ0XrdISXzFkySqfubc3tn+cslgEfD5UTx/6x/+deT6rOnDons6f/Io3rtZHNG3cE2r7Hxx3MNKh6gtb2/e6ycvkac7Jgc+G8h/wwaabMCWGWj4DTR/8451szC5EOxdLhSLq9M8+eP5Mu7XrbZxNROuRBi356eXqb7vjtOn0QaJs3a1SyT8k9qO8I+X2Juzx+/Ng+LGfIJ1/aT4a69vzQFAyNKLYpo/U/1+ExLCNR4oTSo2M/M32t7eReTxS7degnly5eNifW3Xp+GGib8pX8AyfdRl837Ymi9PrXeUtlYO9hJph6VbbH+WnKHFm7eoN5f9uGc3w5fLzMnbkgXB7nZdVrUFPKVfCfMnxA72Hy/cTpgWb40YBUe6qN/2aK1HurebBizbbXcuumnYF6ggQNofoN+p+5vX7tFunavq+Zdcj2mdfPoPYIW/jzb9KiSSdZ+MsyiWiv8vvh9ZzZ7EXFhwz6So78fdy+ne6jW/s+cvL4KUmcJLFER02bv2Nq22hx3h6dBsjWzTsDfc50ZiKdyt6K95gGXZ/0GWEKAes+Wn/Y3L5swGc9TZCtvwM/6TPc/tkCgOiKIrwAAEvoSenIrwfJsM++MScrndp+bLqWu7m6iveDB/ZZOCpULhOuj6t1OPTEYdp3s820wHrR4qiJEycWb29v+2wfKmidDp0B5PufRpsZbfRE87P+X5gQSU8u9QTCNnPLB62bhKotOq3qtNnfmmBFT2I0hJk2e7zkeD1bsHUHD+8rwz8bLW2ad7OfxNlmatH2a5f89EFmO9Kga8zEEebkSPc/9NOvZeTQsZIkSWJzwmI7QWzTvrm89/47EpG06O2qFX+ZQEmn/E2ZKrnEj+8/89DMnycFey4v0ndgD9PDQJ+rBklay0VnL1L6Gn02rK/kzR94CFC9BrVk5e9rZO/ug6YXyrTvZ5ueDN5eD8x7RP/L/nbDWvLViG9f6bl279lBdm3fZ3or9e811IRBif99DVSzD941PWBWLFstkUGPz+gJw2XwwC9kw19b5cfv55iLzqgUN15c+/Fw9rmo/05tmTtjgenFVffN98xUxraiqF+N+9weAuqxfPz4iXw9YoIZSqIXHdanj6NTtAecrjms06FH9u8HvT1o6MfycbdBcu7MBWn1XhfzPnSJE8d8TvV32/BRA2XS+J9CNcNSVOPqlkTGTx4pXdr1McHh/zoNMMdFXz/9nOmsYaMnDJOeXT8J9/fY8MGjTUitNXpGfD0o0DL9HOl7rHWzbuZ3yZSJM+R/vTtZfDQAwDr0gAEAWKZO/RqybPV8M+tIrtyvS4L48c00vDptsAY0GjroTCLhrXP3trL4j1nSvGUj0wNFT9a9vLzF1dXVnHTr/VNmjLUP4QkoT75csnTlHPm4fzdTy0aHXzzw8ZGkyZJKkWIFpXuvDtKiTdNQt0ULdf44+1vJlz+3OUHv2LqX+S97UAUK5pVffvvJDJNInjypCajSpE0l9RrWlAXLZth7WQSlsyzNW/SD9P/0I9NeHUqlJ/t6MqPDQn6aO1F69esqEa1YicIyedo3pt0aety9c9+cZOnlWYCT3NDSopy//vaTvN+qsXlueqKfImVy0wtozoLvzXFzVJviu59GS9ePPpQcr2c174Pnz/3Ma/xxv64yY/5kc7xe1WsZ08v8xdNM6GSbxlcfS4v/6knpwM97SVQ4wR43+QuZMn2MGdqhx1N7E+h7RXt9lSpTTDp1ayMLf58RbCpiHU7409wJ5ljrsfe872l/LR8HqXnSqOnb8vuf86VdxxbmPZ8wUULz2dPrPPneMMvHffeFtAnQyyGivezvh4qVy8rMn7+TKm9WMIVrnz57JsmSuZnjOefXKeb3XXSmAebC5TOl6fsNzTBK/awkSpxIatapJrN//e6Fsxu9zHvMVt9FQ5cRXw2yF0oOSD+vvfp1Mbdn/fSL7Aow3TsARDcufuFVHQ8AAITJFY+rUq+6/4noyr9+DVRgF/6K5a1irjXEKlmmGIcFAABEW/SAAQAAAAAAsBgBDAAAAAAAgMUIYAAAAAAAACxGAAMAAAAAAGAxivACAAAAAABYjB4wAAAAAAAAFiOAAQAAAAAAsBgBDAAAAAAAgMUIYAAAAAAAACxGAAMAAAAAACDW+j/cRnUpsJGsZQAAAABJRU5ErkJggg==",
            "text/plain": [
              "Executed Matplotlib figure"
            ]
          }
        }
      ]
    },
    {
      "sourceHash": "eef3e6e7799673966e239abb74fdc1693aa07e515059aa8a5f7e3f220b9f71a6",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model-only checkpoint produces a different Adam update\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "77f3f9461a8518390bec2cf4115cc770c5188515b9ba5219afba46897246c351",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Reset key changes the noisy objective and continuation stream\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "7131f8fb0e2c4bac5286b269b49e9d388395f0deb6f3e4f4d9a172af48186657",
      "outputs": []
    },
    {
      "sourceHash": "20832e83045568d97aa0833de57480b92c0fa2d5dd51e3444d0d0c83888325f8",
      "outputs": []
    },
    {
      "sourceHash": "e48f625537230578dbbe82ba210d213e011bbf873006910bd56df041ba2010d6",
      "outputs": []
    },
    {
      "sourceHash": "43c98a3cfa82ae83e85f89da31f67b6526581a677683fdc64eb334e7a844368f",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Full restore Adam count: 4; reset memory count: 1; next parameters differ.\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "967e1491d54dcd69c9021132b666f91bbf1cabe4f3a745a5591e86aea2955313",
      "outputs": []
    },
    {
      "sourceHash": "954de8cf907bd08b2bcf4cca4a051c3de8131e6e2f2e3629213d34321ab7bc64",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Expected changed configuration rejection\n",
            "Expected exact key-data mismatch\n"
          ]
        }
      ]
    }
  ],
  "scope": "Recorded instructor reference run; all script assertions and notebook code cells passed. No accelerator performance claim."
}