{
 "what": "A chain of iterations of GNNW Theorem 14 (arXiv 2407.19026v2), each decided on all of (0, 1]: step 1 is the remark's G_AI in the region of the proved F_0.03; step k > 1 is a degree-9 correction proposed by this program's float optimiser, in the region of the bound step k-1 establishes (Lemma 15's hypotheses for that bound decided first). The conclusion is the paper's theorem applied six times: R(k, k) <= c^(k+o(k)) with c = e^F(1) of the last step. Re-run: python3 verify/verify_gnnw_gai.py certs/gnnw-chain-certificate.json",
 "generated": "2026-09-29",
 "source": {
  "paper": "arXiv:2407.19026v2",
  "sha256": "2d5be61d04424f096ab1e4f6d94aefaacda71189276f281807ee5e8650c2eae9"
 },
 "steps": [
  {
   "q": [
    "-0.3864",
    "0.8347",
    "-2.0156",
    "2.7171",
    "-1.7541",
    "0.4522"
   ],
   "m": {
    "N": 100,
    "m0": "1.505717",
    "values": [
     "1.458708",
     "1.414458",
     "1.372692",
     "1.333177",
     "1.295712",
     "1.260126",
     "1.226272",
     "1.194023",
     "1.163268",
     "1.133913",
     "1.105874",
     "1.079078",
     "1.053460",
     "1.028965",
     "1.005541",
     "0.983142",
     "0.961728",
     "0.941260",
     "0.921700",
     "0.903015",
     "0.885169",
     "0.868129",
     "0.851859",
     "0.836326",
     "0.821493",
     "0.807326",
     "0.799951",
     "0.796153",
     "0.792512",
     "0.789024",
     "0.785686",
     "0.782496",
     "0.779451",
     "0.776549",
     "0.772563",
     "0.759074",
     "0.746078",
     "0.733563",
     "0.721516",
     "0.709920",
     "0.698760",
     "0.688018",
     "0.677674",
     "0.667712",
     "0.658113",
     "0.648859",
     "0.639934",
     "0.631321",
     "0.623005",
     "0.614969",
     "0.607201",
     "0.599685",
     "0.592409",
     "0.585361",
     "0.578529",
     "0.571903",
     "0.565472",
     "0.559226",
     "0.553156",
     "0.547254",
     "0.541511",
     "0.535920",
     "0.530474",
     "0.525165",
     "0.519988",
     "0.514937",
     "0.510006",
     "0.505189",
     "0.500481",
     "0.495879",
     "0.491378",
     "0.486972",
     "0.482660",
     "0.478436",
     "0.474298",
     "0.470242",
     "0.466265",
     "0.462365",
     "0.458539",
     "0.454785",
     "0.451099",
     "0.447481",
     "0.443928",
     "0.440438",
     "0.437009",
     "0.433641",
     "0.430331",
     "0.427078",
     "0.423881",
     "0.420739",
     "0.417650",
     "0.414614",
     "0.411631",
     "0.408698",
     "0.405816",
     "0.402984",
     "0.400201",
     "0.397467",
     "0.394781",
     "0.392143"
    ]
   },
   "note": "G_AI, the remark's polynomial, in the region of F_0.03"
  },
  {
   "q": [
    "-0.416545",
    "0.646462",
    "0.255568",
    "-4.938579",
    "10.000000",
    "-7.007958",
    "-1.007665",
    "3.557723",
    "-1.246039"
   ],
   "m": {
    "N": 100,
    "m0": "1.496675",
    "values": [
     "1.434555",
     "1.380795",
     "1.334135",
     "1.293190",
     "1.256806",
     "1.223934",
     "1.193752",
     "1.165653",
     "1.139155",
     "1.113914",
     "1.089682",
     "1.066276",
     "1.043581",
     "1.021516",
     "1.000046",
     "0.979161",
     "0.958879",
     "0.939241",
     "0.920289",
     "0.902068",
     "0.884598",
     "0.867878",
     "0.851863",
     "0.836479",
     "0.821608",
     "0.807090",
     "0.801813",
     "0.798066",
     "0.794450",
     "0.790964",
     "0.787607",
     "0.784379",
     "0.781279",
     "0.778307",
     "0.775463",
     "0.763212",
     "0.749510",
     "0.736472",
     "0.723996",
     "0.712021",
     "0.700512",
     "0.689445",
     "0.678799",
     "0.668561",
     "0.658716",
     "0.649248",
     "0.640142",
     "0.631383",
     "0.622951",
     "0.614832",
     "0.607009",
     "0.599464",
     "0.592182",
     "0.585149",
     "0.578347",
     "0.571764",
     "0.565388",
     "0.559204",
     "0.553203",
     "0.547373",
     "0.541704",
     "0.536186",
     "0.530812",
     "0.525572",
     "0.520461",
     "0.515470",
     "0.510594",
     "0.505827",
     "0.501163",
     "0.496598",
     "0.492128",
     "0.487747",
     "0.483453",
     "0.479243",
     "0.475113",
     "0.471062",
     "0.467084",
     "0.463181",
     "0.459350",
     "0.455587",
     "0.451893",
     "0.448265",
     "0.444702",
     "0.441204",
     "0.437768",
     "0.434393",
     "0.431078",
     "0.427822",
     "0.424622",
     "0.421479",
     "0.418390",
     "0.415351",
     "0.412362",
     "0.409420",
     "0.406523",
     "0.403666",
     "0.400846",
     "0.398060",
     "0.395303",
     "0.392569"
    ]
   },
   "note": "iteration 1: this program's float optimiser (degree 9, SLSQP, margin 5e-5 l on 215 points), in the region of step 1"
  },
  {
   "q": [
    "-0.434002",
    "0.835266",
    "-0.514657",
    "-3.672465",
    "10.000000",
    "-10.000000",
    "3.360082",
    "0.894786",
    "-0.628130"
   ],
   "m": {
    "N": 100,
    "m0": "1.491435",
    "values": [
     "1.430945",
     "1.375686",
     "1.326144",
     "1.282480",
     "1.244353",
     "1.210978",
     "1.181371",
     "1.154593",
     "1.129845",
     "1.106503",
     "1.084119",
     "1.062365",
     "1.041025",
     "1.019977",
     "0.999178",
     "0.978658",
     "0.958522",
     "0.938923",
     "0.920016",
     "0.901909",
     "0.884617",
     "0.868069",
     "0.852136",
     "0.836691",
     "0.821714",
     "0.807455",
     "0.801800",
     "0.798016",
     "0.794366",
     "0.790850",
     "0.787468",
     "0.784218",
     "0.781100",
     "0.778115",
     "0.775261",
     "0.761900",
     "0.748306",
     "0.735300",
     "0.722905",
     "0.711062",
     "0.699711",
     "0.688801",
     "0.678293",
     "0.668167",
     "0.658406",
     "0.648999",
     "0.639936",
     "0.631209",
     "0.622806",
     "0.614713",
     "0.606917",
     "0.599405",
     "0.592160",
     "0.585167",
     "0.578410",
     "0.571875",
     "0.565547",
     "0.559415",
     "0.553463",
     "0.547684",
     "0.542062",
     "0.536591",
     "0.531261",
     "0.526063",
     "0.520989",
     "0.516033",
     "0.511189",
     "0.506450",
     "0.501812",
     "0.497269",
     "0.492818",
     "0.488454",
     "0.484173",
     "0.479974",
     "0.475851",
     "0.471804",
     "0.467831",
     "0.463927",
     "0.460093",
     "0.456327",
     "0.452626",
     "0.448989",
     "0.445415",
     "0.441904",
     "0.438453",
     "0.435061",
     "0.431728",
     "0.428450",
     "0.425228",
     "0.422061",
     "0.418945",
     "0.415881",
     "0.412865",
     "0.409895",
     "0.406969",
     "0.404085",
     "0.401238",
     "0.398426",
     "0.395646",
     "0.392892"
    ]
   },
   "note": "iteration 2: this program's float optimiser (degree 9, SLSQP, margin 5e-5 l on 215 points), in the region of step 2"
  },
  {
   "q": [
    "-0.434013",
    "0.830597",
    "-0.499373",
    "-3.688645",
    "10.000000",
    "-10.000000",
    "3.384087",
    "0.866940",
    "-0.618928"
   ],
   "m": {
    "N": 100,
    "m0": "1.491432",
    "values": [
     "1.428111",
     "1.371591",
     "1.321989",
     "1.279003",
     "1.241851",
     "1.209432",
     "1.180579",
     "1.154311",
     "1.129852",
     "1.106632",
     "1.084243",
     "1.062406",
     "1.040958",
     "1.019801",
     "0.998922",
     "0.978374",
     "0.958268",
     "0.938747",
     "0.919942",
     "0.901932",
     "0.884719",
     "0.868228",
     "0.852342",
     "0.836949",
     "0.822028",
     "0.807764",
     "0.801761",
     "0.797980",
     "0.794334",
     "0.790822",
     "0.787442",
     "0.784196",
     "0.781081",
     "0.778099",
     "0.775042",
     "0.761123",
     "0.747618",
     "0.734703",
     "0.722381",
     "0.710601",
     "0.699304",
     "0.688443",
     "0.677985",
     "0.667907",
     "0.658190",
     "0.648823",
     "0.639796",
     "0.631097",
     "0.622716",
     "0.614640",
     "0.606856",
     "0.599349",
     "0.592106",
     "0.585111",
     "0.578351",
     "0.571810",
     "0.565477",
     "0.559338",
     "0.553380",
     "0.547592",
     "0.541965",
     "0.536488",
     "0.531153",
     "0.525950",
     "0.520874",
     "0.515917",
     "0.511070",
     "0.506331",
     "0.501693",
     "0.497151",
     "0.492701",
     "0.488340",
     "0.484063",
     "0.479867",
     "0.475749",
     "0.471707",
     "0.467738",
     "0.463841",
     "0.460013",
     "0.456253",
     "0.452558",
     "0.448928",
     "0.445361",
     "0.441857",
     "0.438412",
     "0.435028",
     "0.431701",
     "0.428430",
     "0.425216",
     "0.422055",
     "0.418946",
     "0.415887",
     "0.412878",
     "0.409914",
     "0.406994",
     "0.404115",
     "0.401274",
     "0.398468",
     "0.395693",
     "0.392946"
    ]
   },
   "note": "iteration 3: this program's float optimiser (degree 9, SLSQP, margin 5e-5 l on 215 points), in the region of step 3"
  },
  {
   "q": [
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    "0.831682",
    "-0.501864",
    "-3.686634",
    "10.000000",
    "-10.000000",
    "3.382308",
    "0.868797",
    "-0.619493"
   ],
   "m": {
    "N": 100,
    "m0": "1.491370",
    "values": [
     "1.428171",
     "1.371631",
     "1.322037",
     "1.279033",
     "1.241857",
     "1.209398",
     "1.180510",
     "1.154219",
     "1.129738",
     "1.106504",
     "1.084105",
     "1.062266",
     "1.040815",
     "1.019662",
     "0.998789",
     "0.978250",
     "0.958153",
     "0.938641",
     "0.919842",
     "0.901837",
     "0.884629",
     "0.868142",
     "0.852262",
     "0.836877",
     "0.821967",
     "0.807714",
     "0.801762",
     "0.797981",
     "0.794334",
     "0.790821",
     "0.787442",
     "0.784195",
     "0.781080",
     "0.778097",
     "0.775052",
     "0.761137",
     "0.747637",
     "0.734725",
     "0.722403",
     "0.710621",
     "0.699322",
     "0.688458",
     "0.677997",
     "0.667915",
     "0.658197",
     "0.648829",
     "0.639800",
     "0.631100",
     "0.622719",
     "0.614642",
     "0.606856",
     "0.599349",
     "0.592106",
     "0.585111",
     "0.578350",
     "0.571809",
     "0.565475",
     "0.559334",
     "0.553376",
     "0.547588",
     "0.541960",
     "0.536482",
     "0.531146",
     "0.525943",
     "0.520866",
     "0.515906",
     "0.511060",
     "0.506320",
     "0.501681",
     "0.497139",
     "0.492688",
     "0.488326",
     "0.484048",
     "0.479850",
     "0.475733",
     "0.471690",
     "0.467720",
     "0.463822",
     "0.459994",
     "0.456233",
     "0.452538",
     "0.448907",
     "0.445340",
     "0.441835",
     "0.438390",
     "0.435006",
     "0.431678",
     "0.428408",
     "0.425193",
     "0.422031",
     "0.418922",
     "0.415863",
     "0.412853",
     "0.409889",
     "0.406970",
     "0.404090",
     "0.401249",
     "0.398443",
     "0.395669",
     "0.392921"
    ]
   },
   "note": "iteration 4: this program's float optimiser (degree 9, SLSQP, margin 5e-5 l on 215 points), in the region of step 4"
  },
  {
   "q": [
    "-0.434241",
    "0.831665",
    "-0.501774",
    "-3.686715",
    "10.000000",
    "-10.000000",
    "3.382333",
    "0.868789",
    "-0.619496"
   ],
   "m": {
    "N": 100,
    "m0": "1.491363",
    "values": [
     "1.428086",
     "1.371583",
     "1.321980",
     "1.278993",
     "1.241813",
     "1.209354",
     "1.180479",
     "1.154188",
     "1.129716",
     "1.106484",
     "1.084091",
     "1.062255",
     "1.040807",
     "1.019657",
     "0.998787",
     "0.978248",
     "0.958153",
     "0.938639",
     "0.919842",
     "0.901836",
     "0.884626",
     "0.868138",
     "0.852257",
     "0.836871",
     "0.821960",
     "0.807707",
     "0.801761",
     "0.797979",
     "0.794333",
     "0.790820",
     "0.787441",
     "0.784194",
     "0.781079",
     "0.778096",
     "0.775040",
     "0.761124",
     "0.747623",
     "0.734710",
     "0.722390",
     "0.710607",
     "0.699308",
     "0.688445",
     "0.677984",
     "0.667903",
     "0.658185",
     "0.648817",
     "0.639788",
     "0.631089",
     "0.622708",
     "0.614631",
     "0.606847",
     "0.599341",
     "0.592097",
     "0.585103",
     "0.578343",
     "0.571802",
     "0.565468",
     "0.559329",
     "0.553370",
     "0.547583",
     "0.541955",
     "0.536478",
     "0.531142",
     "0.525940",
     "0.520862",
     "0.515903",
     "0.511057",
     "0.506317",
     "0.501679",
     "0.497136",
     "0.492686",
     "0.488323",
     "0.484046",
     "0.479849",
     "0.475731",
     "0.471689",
     "0.467719",
     "0.463822",
     "0.459993",
     "0.456232",
     "0.452537",
     "0.448907",
     "0.445340",
     "0.441835",
     "0.438390",
     "0.435005",
     "0.431678",
     "0.428407",
     "0.425192",
     "0.422031",
     "0.418922",
     "0.415863",
     "0.412853",
     "0.409889",
     "0.406969",
     "0.404090",
     "0.401249",
     "0.398443",
     "0.395669",
     "0.392920"
    ]
   },
   "note": "iteration 5: this program's float optimiser (degree 9, SLSQP, margin 5e-5 l on 215 points), in the region of step 5"
  }
 ],
 "verifier": {
  "file": "tools/verify_gnnw_gai.py",
  "sha256": "996c82c5500cde1b7ca72e55ee38b0ac27dd54be92387b4230117637e596a2f7"
 },
 "second": {
  "file": "instruments/gnnw/second.js",
  "what": "JavaScript, instruments/bigfloat (dyadic intervals, its own exp and log), monotone endpoint bounds on [1/N, 1] instead of a written derivative, beta = f - t f' as written",
  "current": true,
  "agrees": true,
  "result": {
   "verdict": "CERTIFIED",
   "steps": [
    {
     "tail": 79,
     "main": 11322,
     "minTailS": 4.714627115489143e-06,
     "minMainLB": 3.699262530843567e-08,
     "c": [
      "3.7823287755373116217428004",
      "3.7823287755373116217428005"
     ]
    },
    {
     "tail": 10,
     "main": 39820,
     "minTailS": 0.0003042932878499241,
     "minMainLB": 2.333032764449637e-10,
     "c": [
      "3.7754710215368457179220446",
      "3.7754710215368457179220447"
     ]
    },
    {
     "tail": 16,
     "main": 34758,
     "minTailS": 0.0004580344391602225,
     "minMainLB": 1.2534970345842026e-11,
     "c": [
      "3.7725734617809080648710855",
      "3.7725734617809080648710856"
     ]
    },
    {
     "tail": 12,
     "main": 31982,
     "minTailS": 0.0006724280866570116,
     "minMainLB": 5.351380827554986e-10,
     "c": [
      "3.7722750853543349625183954",
      "3.7722750853543349625183955"
     ]
    },
    {
     "tail": 12,
     "main": 31713,
     "minTailS": 0.0004343660924040097,
     "minMainLB": 2.222582973300355e-10,
     "c": [
      "3.7721515782981542341194064",
      "3.7721515782981542341194065"
     ]
    },
    {
     "tail": 12,
     "main": 32241,
     "minTailS": 0.00048575137953095737,
     "minMainLB": 3.7664359012154616e-11,
     "c": [
      "3.7721307629003663892468671",
      "3.7721307629003663892468672"
     ]
    }
   ],
   "c": [
    "3.7721307629003663892468671",
    "3.7721307629003663892468672"
   ],
   "seconds": 2099.275
  },
  "ran": "2026-09-29"
 },
 "decided": {
  "verdict": "CERTIFIED",
  "c": [
   "3.772130762900366389246867113974",
   "3.772130762900366389246867113974"
  ],
  "bases": [
   "3.78232877553731",
   "3.77547102153684",
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