{"variant":"fu-c UN (FA + raw_size, step_trade_count, steps_since_arb_like_print, router_implied_vanilla_spot_dev)","blocked":null,"gates":{"A":{"passed":true,"reference":"FA artifact gate A; FA port/source hash checked"},"B":{"passed":true,"reference":"FA artifact gate B on 7004000..7004511; requested real reference +1.650"},"C":{"passed":false,"reason":"frozen UN Solidity/port differential gate was not completed before task deadline"}},"sim_markets_per_s":339.2267857721121,"search_minutes":72.98397571245829,"generations":36,"curve":[[0.0,0.0,0.0],[5.650504879156748,1.7449429449897829,0.026157893016969955],[5.650504879156748,1.7015775384493397,0.02362084791902616],[11.061797801653544,1.716848912696213,0.023272417198702617],[11.061797801653544,1.6739283222829362,0.02363991108075419],[16.4367329676946,1.723264410635426,0.022893158143340496],[16.4367329676946,1.68836007105384,0.022873359993248743],[21.960506780942282,1.721769085447179,0.023358913139110305],[21.960506780942282,1.7173920713693511,0.023431379303816276],[27.092326919237774,1.7268020098540524,0.023633121991766242],[27.092326919237774,1.710619822328726,0.023757451528398615],[32.5550732254982,1.7493003738682984,0.023066297181960935],[32.5550732254982,1.734754657707122,0.023415736373536788],[37.92990431388219,1.7384015268750894,0.02324289962539013],[37.92990431388219,1.7404924155958095,0.023224743275503452]],"holdout":{"gain_over_T":1.6921478436383026,"gain_over_FA":0.011048463356232982,"se":0.011435483685693358},"real":{"seeds":[7385000,7385001,7385002,7385003,7385004,7385005,7385006,7385007,7385008,7385009,7385010,7385011,7385012,7385013,7385014,7385015,7385016,7385017,7385018,7385019,7385020,7385021,7385022,7385023,7385024,7385025,7385026,7385027,7385028,7385029,7385030,7385031,7385032,7385033,7385034,7385035,7385036,7385037,7385038,7385039,7385040,7385041,7385042,7385043,7385044,7385045,7385046,7385047,7385048,7385049,7385050,7385051,7385052,7385053,7385054,7385055,7385056,7385057,7385058,7385059,7385060,7385061,7385062,7385063,7385064,7385065,7385066,7385067,7385068,7385069,7385070,7385071,7385072,7385073,7385074,7385075,7385076,7385077,7385078,7385079,7385080,7385081,7385082,7385083,7385084,7385085,7385086,7385087,7385088,7385089,7385090,7385091,7385092,7385093,7385094,7385095,7385096,7385097,7385098,7385099,7385100,7385101,7385102,7385103,7385104,7385105,7385106,7385107,7385108,7385109,7385110,7385111,7385112,7385113,7385114,7385115,7385116,7385117,7385118,7385119,7385120,7385121,7385122,7385123,7385124,7385125,7385126,7385127,7385128,7385129,7385130,7385131,7385132,7385133,7385134,7385135,7385136,7385137,7385138,7385139,7385140,7385141,7385142,7385143,7385144,7385145,7385146,7385147,7385148,7385149,7385150,7385151,7385152,7385153,7385154,7385155,7385156,7385157,7385158,7385159,7385160,7385161,7385162,7385163,7385164,7385165,7385166,7385167,7385168,7385169,7385170,7385171,7385172,7385173,7385174,7385175,7385176,7385177,7385178,7385179,7385180,7385181,7385182,7385183,7385184,7385185,7385186,7385187,7385188,7385189,7385190,7385191,7385192,7385193,7385194,7385195,7385196,7385197,7385198,7385199,7385200,7385201,7385202,7385203,7385204,7385205,7385206,7385207,7385208,7385209,7385210,7385211,7385212,7385213,7385214,7385215,7385216,7385217,7385218,7385219,7385220,7385221,7385222,7385223,7385224,7385225,7385226,7385227,7385228,7385229,7385230,7385231,7385232,7385233,7385234,7385235,7385236,7385237,7385238,7385239,7385240,7385241,7385242,7385243,7385244,7385245,7385246,7385247,7385248,7385249,7385250,7385251,7385252,7385253,7385254,7385255,7385256,7385257,7385258,7385259,7385260,7385261,7385262,7385263,7385264,7385265,7385266,7385267,7385268,7385269,7385270,7385271,7385272,7385273,7385274,7385275,7385276,7385277,7385278,7385279,7385280,7385281,7385282,7385283,7385284,7385285,7385286,7385287,7385288,7385289,7385290,7385291,7385292,7385293,7385294,7385295,7385296,7385297,7385298,7385299,7385300,7385301,7385302,7385303,7385304,7385305,7385306,7385307,7385308,7385309,7385310,7385311,7385312,7385313,7385314,7385315,7385316,7385317,7385318,7385319,7385320,7385321,7385322,7385323,7385324,7385325,7385326,7385327,7385328,7385329,7385330,7385331,7385332,7385333,7385334,7385335,7385336,7385337,7385338,7385339,7385340,7385341,7385342,7385343,7385344,7385345,7385346,7385347,7385348,7385349,7385350,7385351,7385352,7385353,7385354,7385355,7385356,7385357,7385358,7385359,7385360,7385361,7385362,7385363,7385364,7385365,7385366,7385367,7385368,7385369,7385370,7385371,7385372,7385373,7385374,7385375,7385376,7385377,7385378,7385379,7385380,7385381,7385382,7385383,7385384,7385385,7385386,7385387,7385388,7385389,7385390,7385391,7385392,7385393,7385394,7385395,7385396,7385397,7385398,7385399,7385400,7385401,7385402,7385403,7385404,7385405,7385406,7385407,7385408,7385409,7385410,7385411,7385412,7385413,7385414,7385415,7385416,7385417,7385418,7385419,7385420,7385421,7385422,7385423,7385424,7385425,7385426,7385427,7385428,7385429,7385430,7385431,7385432,7385433,7385434,7385435,7385436,7385437,7385438,7385439,7385440,7385441,7385442,7385443,7385444,7385445,7385446,7385447,7385448,7385449,7385450,7385451,7385452,7385453,7385454,7385455,7385456,7385457,7385458,7385459,7385460,7385461,7385462,7385463,7385464,7385465,7385466,7385467,7385468,7385469,7385470,7385471,7385472,7385473,7385474,7385475,7385476,7385477,7385478,7385479,7385480,7385481,7385482,7385483,7385484,7385485,7385486,7385487,7385488,738548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SPDX-License-Identifier: MIT\npragma solidity ^0.8.24;\n\nimport {AMMStrategyBase} from \"./AMMStrategyBase.sol\";\nimport {TradeInfo} from \"./IAMMStrategy.sol\";\n\ncontract Strategy is AMMStrategyBase {\n    uint256 constant ELAPSED_CAP = 8;\n    uint256 constant SIGNAL_THRESHOLD = WAD / 650;\n    uint256 constant DIR_DECAY = 750000000000000000;\n    uint256 constant ACT_DECAY = 530000000000000000;\n    uint256 constant SIZE_DECAY = 530000000000000000;\n    uint256 constant TOX_DECAY = 910000000000000000;\n    uint256 constant SIGMA_DECAY = 690000000000000000;\n    uint256 constant LAMBDA_DECAY = 990000000000000000;\n    uint256 constant SIZE_BLEND_DECAY = 828000000000000000;\n    uint256 constant TOX_BLEND_DECAY = 51000000000000000;\n    uint256 constant ACT_BLEND_DECAY = 985000000000000000;\n    uint256 constant PHAT_ALPHA = 270000000000000000;\n    uint256 constant PHAT_ALPHA_RETAIL = 60000000000000000;\n    uint256 constant PHAT_ALPHA_SAME = 120000000000000000;\n    uint256 constant REVERT_U = 0;\n    uint256 constant DIR_IMPACT_MULT = 4;\n    uint256 constant GATE_SIGMA_MULT = 7200000000000000000;\n    uint256 constant MIN_GATE = 30000000000000000;\n    uint256 constant TRADE_TOX_BOOST = 3500 * BPS;\n    uint256 constant STALE_ATTRACT_FRAC = 1050000000000000000;\n    uint256 constant RET_CAP = WAD / 35;\n    uint256 constant TOX_CAP = WAD / 5;\n    uint256 constant TRADE_RATIO_CAP = WAD / 5;\n    uint256 constant LAMBDA_CAP = 1820000000000000000;\n    uint256 constant STEP_COUNT_CAP = 64;\n    uint256 constant BASE_FEE = 4 * BPS;\n    uint256 constant SIGMA_COEF = 200000000000000000;\n    uint256 constant LAMBDA_COEF = 12 * BPS;\n    uint256 constant FLOW_SIZE_COEF = 4842 * BPS;\n    uint256 constant TOX_COEF = 300 * BPS;\n    uint256 constant TOX_QUAD_COEF = 15000 * BPS;\n    uint256 constant ACT_COEF = 91843 * BPS;\n    uint256 constant DIR_COEF = 20 * BPS;\n    uint256 constant DIR_TOX_COEF = 100 * BPS;\n    uint256 constant STALE_DIR_COEF = 6850 * BPS;\n    uint256 constant SIGMA_TOX_COEF = 500 * BPS;\n    uint256 constant TAIL_KNEE = 600 * BPS;\n    uint256 constant TAIL_SLOPE_PROTECT = 930000000000000000;\n    uint256 constant TAIL_SLOPE_ATTRACT = 850000000000000000;\n\n    function afterInitialize(uint256 initialX, uint256 initialY) external override returns (uint256, uint256) {\n        slots[0] = BASE_FEE; slots[1] = BASE_FEE; slots[3] = WAD; \n        slots[5] = initialX > 0 ? wdiv(initialY, initialX) : 100 * WAD;\n        slots[6] = 950000000000000; slots[7] = 800000000000000000; slots[8] = 2000000000000000;\n        slots[15] = 400000000000000000 | (uint256(2000000000000000) << 160); slots[13] = 902500000000; slots[14] = slots[5]; \n        return (BASE_FEE, BASE_FEE);\n    }\n\n    function afterSwap(TradeInfo calldata trade) external override returns (uint256, uint256) {\n        uint256 prevBidFee = slots[0]; uint256 prevAskFee = slots[1]; uint256 lastTs = uint64(slots[2]);\n        uint256 dirState = slots[3]; uint256 actEma = slots[4]; uint256 pHat = slots[5];\n        uint256 sigmaHat = slots[6]; uint256 lambdaHat = slots[7]; uint256 sizeHat = slots[8];\n        uint256 toxEma = slots[9]; uint256 stepTradeCount = slots[10];\n\n        uint256 sigmaForFast = sigmaHat;\n        uint256 fastHat = slots[14];\n        uint256 uncertainty = slots[13];\n        uint256 silent = trade.timestamp > lastTs ? trade.timestamp - lastTs : 0;\n        bool isNewStep = trade.timestamp > lastTs;\n        if (isNewStep) {\n            uint256 elapsedRaw = trade.timestamp - lastTs;\n            uint256 elapsed = elapsedRaw > ELAPSED_CAP ? ELAPSED_CAP : elapsedRaw;\n            dirState = _decayCentered(dirState, DIR_DECAY, elapsed);\n            actEma = wmul(actEma, _powWad(ACT_DECAY, elapsed));\n            sizeHat = wmul(sizeHat, _powWad(SIZE_DECAY, elapsed));\n            toxEma = wmul(toxEma, _powWad(TOX_DECAY, elapsed));\n            if (stepTradeCount > 0 && elapsedRaw > 0) {\n                uint256 lambdaInst = (stepTradeCount * WAD) / elapsedRaw;\n                if (lambdaInst > LAMBDA_CAP) lambdaInst = LAMBDA_CAP;\n                lambdaHat = wmul(lambdaHat, LAMBDA_DECAY) + wmul(lambdaInst, WAD - LAMBDA_DECAY);\n            }\n            // Process variance is propagated inside the censored update.\n            if (uncertainty > 100000000000000) uncertainty = 100000000000000;\n            stepTradeCount = 0;\n        }\n\n        bool firstInStep = stepTradeCount == 0;\n        uint256 spot = trade.reserveX > 0 ? wdiv(trade.reserveY, trade.reserveX) : pHat;\n        if (pHat == 0) pHat = spot;\n\n        uint256 feeUsed = trade.isBuy ? prevBidFee : prevAskFee;\n        uint256 gamma = feeUsed < WAD ? WAD - feeUsed : 0;\n        uint256 pImplied;\n        if (gamma == 0) { pImplied = spot; }\n        else { pImplied = trade.isBuy ? wmul(spot, gamma) : wdiv(spot, gamma); }\n\n        // S: infer a no-trade interval center from the last post-trade spot.\n        uint256 silenceScale = WAD;\n        if (firstInStep && silent > 1) {\n            uint256 g = silent - 1;\n            if (g > 1) g = 1;\n            uint256 w = WAD - _powWad(800000000000000000, g);\n            uint256 s = slots[2] >> 64;\n            if (s == 0) s = pHat;\n            uint256 c = (wmul(s, WAD - prevBidFee) + wdiv(s, WAD - prevAskFee)) / 2;\n            if (c >= pHat) pHat += wmul(w, c - pHat);\n            else pHat -= wmul(w, pHat - c);\n            silenceScale = WAD - wmul(300000000000000000, w);\n        }\n\n        {\n            uint256 ret = pHat > 0 ? wdiv(absDiff(pImplied, pHat), pHat) : 0;\n            uint256 alpha = firstInStep ? PHAT_ALPHA : PHAT_ALPHA_RETAIL;\n            uint256 prePhat = pHat;\n            bool secondPrint = !firstInStep && stepTradeCount == 1;\n            bool sameDir = false; bool oppDir = false;\n            if (secondPrint) {\n                bool up2 = pImplied >= pHat;\n                uint256 d1 = slots[12];\n                if (d1 != 0) { sameDir = (d1 == 1) == up2; oppDir = !sameDir; }\n                if (sameDir) alpha = PHAT_ALPHA_SAME;\n            }\n            if (firstInStep) { slots[12] = pImplied >= pHat ? 1 : 2; }\n            uint256 adaptiveGate = wmul(sigmaHat, GATE_SIGMA_MULT);\n            if (adaptiveGate < MIN_GATE) adaptiveGate = MIN_GATE;\n            alpha = wmul(alpha, silenceScale);\n            adaptiveGate = wmul(adaptiveGate, silenceScale);\n            if (ret <= adaptiveGate) { pHat = wmul(pHat, WAD - alpha) + wmul(pImplied, alpha); }\n            if (oppDir && REVERT_U > 0) {\n                uint256 pre = slots[11];\n                if (pre > pHat) pHat = pHat + wmul(pre - pHat, REVERT_U);\n                else pHat = pHat - wmul(pHat - pre, REVERT_U);\n            }\n            if (firstInStep) {\n                if (ret > RET_CAP) ret = RET_CAP;\n                sigmaHat = wmul(sigmaHat, SIGMA_DECAY) + wmul(ret, WAD - SIGMA_DECAY);\n            }\n        }\n\n        // Interior retail routing equalizes fee-adjusted marginal prices.\n        // Subsequent trades in a step cannot be the initial arbitrage trade.\n        if (!firstInStep && feeUsed > 30 * BPS && gamma > 0) {\n            uint256 normalSpot = trade.isBuy\n                ? wdiv(wmul(spot, gamma), WAD - 30 * BPS)\n                : wdiv(wmul(spot, WAD - 30 * BPS), gamma);\n            pHat = wmul(pHat, 90 * WAD / 100) + wmul(normalSpot, 10 * WAD / 100);\n        }\n\n        // Censored assumed-density posterior. No external or future inputs.\n        uint256 arbProbability;\n        (fastHat, uncertainty, arbProbability) = _posterior(PosteriorInput(\n            fastHat, uncertainty, pImplied, spot, slots[2] >> 64,\n            prevBidFee, prevAskFee, firstInStep, silent, trade.isBuy,\n            trade.reserveY > 0 ? wdiv(trade.amountY, trade.reserveY) : 0\n        ));\n        slots[13] = uncertainty;\n        slots[14] = fastHat;\n        uint256 tradeRatio = trade.reserveY > 0 ? wdiv(trade.amountY, trade.reserveY) : 0;\n        if (tradeRatio > TRADE_RATIO_CAP) tradeRatio = TRADE_RATIO_CAP;\n\n        if (tradeRatio > SIGNAL_THRESHOLD) {\n            uint256 push = tradeRatio * DIR_IMPACT_MULT;\n            if (push > WAD / 4) push = WAD / 4;\n            if (trade.isBuy) {\n                dirState = dirState + push;\n                if (dirState > 2 * WAD) dirState = 2 * WAD;\n            } else {\n                dirState = dirState > push ? dirState - push : 0;\n            }\n            actEma = wmul(actEma, ACT_BLEND_DECAY) + wmul(tradeRatio, WAD - ACT_BLEND_DECAY);\n            sizeHat = wmul(sizeHat, SIZE_BLEND_DECAY) + wmul(tradeRatio, WAD - SIZE_BLEND_DECAY);\n            if (sizeHat > WAD) sizeHat = WAD;\n        }\n\n        uint256 tox = pHat > 0 ? wdiv(absDiff(spot, pHat), pHat) : 0;\n        if (tox > TOX_CAP) tox = TOX_CAP;\n        toxEma = wmul(toxEma, TOX_BLEND_DECAY) + wmul(tox, WAD - TOX_BLEND_DECAY);\n        uint256 toxSignal = toxEma;\n        uint256 toxLinear;\n        uint256 toxQuadratic;\n        {\n            uint256 packedAnchor = slots[16];\n            uint256 runMean = uint64(packedAnchor);\n            uint256 sampleCount = packedAnchor >> 64;\n            if (sampleCount < 674) sampleCount++;\n            if (toxEma >= runMean) runMean += (toxEma-runMean)/sampleCount;\n            else runMean -= (runMean-toxEma)/sampleCount;\n            slots[16] = runMean | (sampleCount << 64);\n            toxLinear = _anchorBlend(runMean, toxEma, 712696014807650816);\n            toxQuadratic = _anchorBlend(runMean, toxEma, 1295240753826310656);\n        }\n\n\n        stepTradeCount = stepTradeCount + 1;\n        if (stepTradeCount > STEP_COUNT_CAP) stepTradeCount = STEP_COUNT_CAP;\n\n        uint256 originalLambda = lambdaHat; uint256 originalSize = sizeHat;\n\n        if (342406799193418304 > 0) {\n            uint256 packedFlow = slots[15];\n            uint256 rate = uint80(packedFlow);\n            uint256 count = uint80(packedFlow >> 80);\n            uint256 meanSize = uint80(packedFlow >> 160);\n            if (rate == 0) rate = 400000000000000000;\n            if (meanSize == 0) meanSize = 2000000000000000;\n            if (isNewStep) {\n                uint256 inst = count / silent;\n                if (inst > 3 * WAD) inst = 3 * WAD;\n                uint256 retention = _powWad(999000000000000000, silent > 64 ? 64 : silent);\n                rate = wmul(rate, retention) + wmul(inst, WAD-retention);\n                count = 0;\n            }\n            uint256 weight = firstInStep ? WAD-arbProbability : WAD;\n            uint256 correctedWeight = weight;\n            if (2 == 2) {\n                uint256 missing = wmul(feeUsed, 196030880396139429888);\n                if (missing > 333333333333333376) missing = 333333333333333376;\n                correctedWeight = wdiv(weight, WAD-missing);\n            }\n            count += correctedWeight;\n            uint256 learning = wmul(WAD-999000000000000000, weight);\n            meanSize = _blend(meanSize, tradeRatio, learning);\n            slots[15]=rate | (count << 80) | (meanSize << 160);\n            uint256 retailRate = wmul(rate, 366383424913407168);\n            uint256 retailSize = 2 == 0 ? sizeHat : wmul(meanSize,1883296158119298304);\n            lambdaHat = _blend(lambdaHat,retailRate,342406799193418304);\n            sizeHat = _blend(sizeHat,retailSize,342406799193418304);\n        }\n        uint256 flowSize = wmul(lambdaHat, sizeHat);\n        uint256 fBase = BASE_FEE + wmul(SIGMA_COEF, sigmaHat) + wmul(LAMBDA_COEF, lambdaHat) + wmul(FLOW_SIZE_COEF, flowSize);\n        uint256 fMid = fBase + wmul(TOX_COEF, toxLinear) + wmul(TOX_QUAD_COEF, wmul(toxQuadratic, toxQuadratic)) + wmul(ACT_COEF, actEma);\n        fMid = fMid + wmul(SIGMA_TOX_COEF, wmul(sigmaHat, toxLinear));\n\n        lambdaHat = originalLambda; sizeHat = originalSize;\n        uint256 dirDev; bool sellPressure;\n        if (dirState >= WAD) { dirDev = dirState - WAD; sellPressure = true; }\n        else { dirDev = WAD - dirState; sellPressure = false; }\n\n        uint256 skew = wmul(DIR_COEF, dirDev) + wmul(DIR_TOX_COEF, wmul(dirDev, toxSignal));\n        uint256 bidFee; uint256 askFee;\n        if (sellPressure) {\n            bidFee = fMid + skew;\n            askFee = fMid > skew ? fMid - skew : 0;\n        } else {\n            askFee = fMid + skew;\n            bidFee = fMid > skew ? fMid - skew : 0;\n        }\n\n        {\n            uint256 staleHat = wmul(pHat, 700000000000000000) + wmul(fastHat, 300000000000000000);\n            uint256 staleTox = wdiv(absDiff(spot, staleHat), staleHat);\n            if (staleTox > TOX_CAP) staleTox = TOX_CAP;\n            uint256 staleShift = wmul(STALE_DIR_COEF, staleTox);\n            uint256 attractShift = wmul(staleShift, STALE_ATTRACT_FRAC);\n            if (spot >= staleHat) {\n                bidFee = bidFee + staleShift;\n                askFee = askFee > attractShift ? askFee - attractShift : 0;\n            } else {\n                askFee = askFee + staleShift;\n                bidFee = bidFee > attractShift ? bidFee - attractShift : 0;\n            }\n        }\n\n        {\n            bool tradeAligned = (trade.isBuy && spot >= pHat) || (!trade.isBuy && spot < pHat);\n            if (tradeAligned) {\n                uint256 tradeBoost = wmul(TRADE_TOX_BOOST, tradeRatio);\n                if (!firstInStep && tradeBoost > 16 * BPS) tradeBoost = 16 * BPS;\n                if (trade.isBuy) { bidFee = bidFee + tradeBoost; }\n                else { askFee = askFee + tradeBoost; }\n            }\n        }\n\n        if (sellPressure) {\n            bidFee = clampFee(_compressTailWithSlope(bidFee, TAIL_SLOPE_PROTECT));\n            askFee = clampFee(_compressTailWithSlope(askFee, TAIL_SLOPE_ATTRACT));\n        } else {\n            askFee = clampFee(_compressTailWithSlope(askFee, TAIL_SLOPE_PROTECT));\n            bidFee = clampFee(_compressTailWithSlope(bidFee, TAIL_SLOPE_ATTRACT));\n        }\n\n        if (firstInStep) {\n            if (askFee > bidFee && bidFee > 30 * BPS) bidFee = 30 * BPS;\n            else if (bidFee > askFee && askFee > 30 * BPS) askFee = 30 * BPS;\n        }\n\n        if (bidFee > askFee && askFee > 36 * BPS) askFee = 36 * BPS;\n        else if (askFee > bidFee && bidFee > 36 * BPS) bidFee = 36 * BPS;\n\n        {\n            int256[23] memory nx;\n            unchecked {\n                nx[0] = int256(sigmaHat)*1000/1e12-1000000;\n                nx[1] = int256(lambdaHat)*2/1e12-1000000;\n                nx[2] = int256(sizeHat)*500/1e12-1000000;\n                nx[3] = int256(toxEma)*500/1e12-1000000;\n                nx[4] = int256(actEma)*500/1e12-1000000;\n                nx[5] = int256(dirState)/1e12-1000000;\n                uint256 nh = wmul(pHat,700000000000000000)+wmul(fastHat,300000000000000000);\n                nx[6] = (int256(spot)-int256(nh))*500000000/int256(nh);\n                nx[7] = int256(tradeRatio)*500/1e12;\n                if (!trade.isBuy) nx[7] = -nx[7];\n                nx[8] = int256(arbProbability)*2/1e12-1000000;\n                nx[9] = firstInStep ? int256(1000000) : -int256(1000000);\n                nx[10] = int256(uncertainty)/1e6-1000000;\n                nx[11] = int256(silent>8 ? 8 : silent)*1000000/8;\n                nx[12] = int256(uint256(uint64(slots[16])))*500/1e12-1000000;\n                nx[13] = int256(bidFee)*200/1e12-1000000;\n                nx[14] = int256(askFee)*200/1e12-1000000;\n                nx[15] = int256(prevBidFee)*200/1e12-1000000;\n                nx[16] = int256(prevAskFee)*200/1e12-1000000;\n                nx[17] = (int256(spot)-int256(pHat))*500000000/int256(pHat);\n                nx[18] = int256(uint256(uint80(slots[15])))*2/1e12-1000000;\n                // Four IA-derived raw features, scaled into the same 1e6 feature domain.\n                uint256 rawSize = trade.reserveY > 0 ? wdiv(trade.amountY, trade.reserveY) : 0;\n                nx[19] = int256(rawSize)*647054817/1e18-618293;\n                nx[20] = int256(stepTradeCount)*1395287-2037262;\n                uint256 lastArbTs = uint16(slots[15] >> 240);\n                uint256 sinceArb = lastArbTs == 0 || trade.timestamp <= lastArbTs ? 0 : trade.timestamp-lastArbTs;\n                if (sinceArb > 32) sinceArb = 32;\n                nx[21] = int256(sinceArb)*412565-823811;\n                uint256 vanillaSpot = trade.isBuy ? wdiv(wmul(spot,gamma),WAD-30*BPS) : wdiv(wmul(spot,WAD-30*BPS),gamma);\n                nx[22] = (int256(vanillaSpot)-int256(nh))*274335453/int256(nh)+1772;\n                if (firstInStep && arbProbability > WAD/2) {\n                    slots[15] = slots[15] | (uint256(uint16(trade.timestamp)) << 240);\n                }\n                for (uint256 ni=0;ni<23;ni++) {\n                    if(nx[ni]>4000000) nx[ni]=4000000;\n                    if(nx[ni]<-4000000) nx[ni]=-4000000;\n                }\n                (int256 hb,int256 ha) = _head(nx);\n                int256 nb = int256(bidFee)+hb*100000000;\n                int256 na = int256(askFee)+ha*100000000;\n                bidFee = nb<0 ? 0 : (nb>int256(MAX_FEE) ? MAX_FEE : uint256(nb));\n                askFee = na<0 ? 0 : (na>int256(MAX_FEE) ? MAX_FEE : uint256(na));\n            }\n        }\n\n        slots[0] = bidFee; slots[1] = askFee; slots[2] = (spot << 64) | trade.timestamp;\n        slots[3] = dirState; slots[4] = actEma; slots[5] = pHat;\n        slots[6] = sigmaHat; slots[7] = lambdaHat; slots[8] = sizeHat;\n        slots[9] = toxEma; slots[10] = stepTradeCount;\n\n        return (bidFee, askFee);\n    }\n\n\n\n    function _head(int256[23] memory x) internal pure returns (int256 b,int256 a) {\n        unchecked {\n            b = 213784000000; a = 2739646000000;\n            int256 z;\n            z = 2392712 + ((294965 * x[0]) + (2801511 * x[1]) + (-537282 * x[2]) + (2457988 * x[3]) + (-2790694 * x[4]) + (16448 * x[5]) + (-3563725 * x[6]) + (-109727 * x[7]) + (-4131479 * x[8]) + (-120646 * x[9]) + (-579797 * x[10]) + (777501 * x[11]) + (378701 * x[12]) + (1021193 * x[13]) + (1359170 * x[14]) + (-187038 * x[15]) + (215442 * x[16]) + (689837 * x[17]) + (397745 * x[18]) + (27703 * x[19]) + (48671 * x[20]) + (-35775 * x[21]) + (96447 * x[22]))/1000000;\n            if(z<0) z=0; else if(z>4000000) z=4000000;\n            b += (671536 * z); a += (680839 * z);\n            z = -2450353 + ((753016 * x[0]) + (1513072 * x[1]) + (1835754 * x[2]) + (3518939 * x[3]) + (1957788 * x[4]) + (678025 * x[5]) + (762101 * x[6]) + (-443857 * x[7]) + (-95202 * x[8]) + (91644 * x[9]) + (-356009 * x[10]) + (59329 * x[11]) + (839988 * x[12]) + (-1520729 * x[13]) + (1130590 * x[14]) + (-50317 * x[15]) + (477749 * x[16]) + (121756 * x[17]) + (-603619 * x[18]) + (-568489 * x[19]) + (-99090 * x[20]) + (-46758 * x[21]) + (217804 * x[22]))/1000000;\n            if(z<0) z=0; else if(z>4000000) z=4000000;\n            b += (-1880727 * z); a += (-1619502 * z);\n            z = -2863416 + ((1750376 * x[0]) + (2483210 * x[1]) + (-1458657 * x[2]) + (1656261 * x[3]) + (2665639 * x[4]) + (3529174 * x[5]) + (-393305 * x[6]) + (2317141 * x[7]) + (1536461 * x[8]) + (-1235939 * x[9]) + (-315574 * x[10]) + (-1577703 * x[11]) + (-836220 * x[12]) + (141420 * x[13]) + (-1979359 * x[14]) + (1323207 * x[15]) + (-457296 * x[16]) + (-939547 * x[17]) + (638490 * x[18]) + (-8535 * x[19]) + (195481 * x[20]) + (2198 * x[21]) + (-7786 * x[22]))/1000000;\n            if(z<0) z=0; else if(z>4000000) z=4000000;\n            b += (-97637 * z); a += (-1316828 * z);\n            z = -643734 + ((-602520 * x[0]) + (-586190 * x[1]) + (802057 * x[2]) + (752918 * x[3]) + (-216929 * x[4]) + (1768037 * x[5]) + (286242 * x[6]) + (1264208 * x[7]) + (-712684 * x[8]) + (1096840 * x[9]) + (495209 * x[10]) + (-814714 * x[11]) + (-2176415 * x[12]) + (-526520 * x[13]) + (605213 * x[14]) + (344200 * x[15]) + (2835839 * x[16]) + (-91876 * x[17]) + (-71548 * x[18]) + (-318830 * x[19]) + (264898 * x[20]) + (9826 * x[21]) + (-96727 * x[22]))/1000000;\n            if(z<0) z=0; else if(z>4000000) z=4000000;\n            b += (-282336 * z); a += (2174977 * z);\n            z = 273611 + ((665221 * x[0]) + (-1720377 * x[1]) + (3648266 * x[2]) + (-1098883 * x[3]) + (-3007293 * x[4]) + (-1648855 * x[5]) + (-1552861 * x[6]) + (-986325 * x[7]) + (278367 * x[8]) + (-22454 * x[9]) + (180408 * x[10]) + (-2877550 * x[11]) + (-14018 * x[12]) + (802039 * x[13]) + (780760 * x[14]) + (-326523 * x[15]) + (1409276 * x[16]) + (460082 * x[17]) + (657249 * x[18]) + (-54481 * x[19]) + (199829 * x[20]) + (-129962 * x[21]) + (47402 * x[22]))/1000000;\n            if(z<0) z=0; else if(z>4000000) z=4000000;\n            b += (-3785542 * z); a += (506857 * z);\n            z = -1785673 + ((1443704 * x[0]) + (-273370 * x[1]) + (808754 * x[2]) + (-655202 * x[3]) + (2661652 * x[4]) + (1236458 * x[5]) + (330457 * x[6]) + (-338966 * x[7]) + (-1700290 * x[8]) + (740046 * x[9]) + (106028 * x[10]) + (3093606 * x[11]) + (1151377 * x[12]) + (-268019 * x[13]) + (-338547 * x[14]) + (558565 * x[15]) + (-616908 * x[16]) + (-530272 * x[17]) + (306313 * x[18]) + (41539 * x[19]) + (-51347 * x[20]) + (143799 * x[21]) + (-400765 * x[22]))/1000000;\n            if(z<0) z=0; else if(z>4000000) z=4000000;\n            b += (-391772 * z); a += (-1149409 * z);\n            z = -1500571 + ((-1539152 * x[0]) + (1163830 * x[1]) + (934457 * x[2]) + (-3152111 * x[3]) + (1140028 * x[4]) + (150609 * x[5]) + (456583 * x[6]) + (227272 * x[7]) + (1250902 * x[8]) + (38963 * x[9]) + (-107276 * x[10]) + (209920 * x[11]) + (-1504132 * x[12]) + (1441242 * x[13]) + (26003 * x[14]) + (635064 * x[15]) + (776352 * x[16]) + (-89025 * x[17]) + (633056 * x[18]) + (-68203 * x[19]) + (304798 * x[20]) + (342431 * x[21]) + (-62543 * x[22]))/1000000;\n            if(z<0) z=0; else if(z>4000000) z=4000000;\n            b += (-406610 * z); a += (33072 * z);\n            z = -729641 + ((-1108316 * x[0]) + (-2335278 * x[1]) + (2703662 * x[2]) + (2411121 * x[3]) + (-1440551 * x[4]) + (-1776556 * x[5]) + (-514751 * x[6]) + (1504378 * x[7]) + (1730670 * x[8]) + (-1581201 * x[9]) + (2197930 * x[10]) + (-1815611 * x[11]) + (850644 * x[12]) + (194461 * x[13]) + (525981 * x[14]) + (1599476 * x[15]) + (159790 * x[16]) + (-367243 * x[17]) + (4611 * x[18]) + (-6043 * x[19]) + (85103 * x[20]) + (65905 * x[21]) + (96267 * x[22]))/1000000;\n            if(z<0) z=0; else if(z>4000000) z=4000000;\n            b += (1408165 * z); a += (318436 * z);\n            b /= 1000000; a /= 1000000;\n        }\n    }\n\n    function _anchorBlend(uint256 mean, uint256 value, uint256 k) internal pure returns (uint256) {\n        if (k == WAD) return value;\n        if (value >= mean) return mean + wmul(value-mean,k);\n        uint256 delta = wmul(mean-value,k);\n        return delta < mean ? mean-delta : 0;\n    }\n\n    struct PosteriorInput {\n        uint256 mu; uint256 v; uint256 obs; uint256 spot; uint256 preSpot;\n        uint256 bid; uint256 ask; bool first; uint256 silent; bool buy; uint256 size;\n    }\n    function _posterior(PosteriorInput memory x) internal pure returns (uint256, uint256, uint256) {\n        if (x.mu == 0) x.mu = x.spot;\n        if (x.v < 10000000000) x.v = 10000000000;\n        uint256 lo = wmul(x.preSpot, WAD-x.bid);\n        uint256 hi = wdiv(x.preSpot, WAD-x.ask);\n        if (x.first) {\n            if (x.silent>1 && x.preSpot>0) {\n                uint256 elapsed=x.silent>8?8:x.silent;\n                x.v += 902500000000*(elapsed-1);\n                (x.mu,x.v)=_band(x.mu,x.v,lo,hi);\n            }\n            x.v+=902500000000;\n        }\n        uint256 mRetail = x.mu;\n        uint256 vRetail = x.v;\n        // A missing own-pool trade is a censored price observation.\n        if (x.first && x.preSpot > 0) {\n            (mRetail, vRetail) = _band(x.mu, x.v, lo, hi);\n        }\n        if (!x.first) {\n            // A later print is retail. Only an interior route is an observation\n            // of the other pool, with explicit observation uncertainty.\n            uint256 fee = x.buy ? x.bid : x.ask;\n            if (fee > 30 * BPS) {\n                uint256 normal = x.buy ? wdiv(wmul(x.spot, WAD-fee), WAD-30*BPS)\n                    : wdiv(wmul(x.spot, WAD-30*BPS), WAD-fee);\n                uint256 residual = wdiv(absDiff(normal, x.mu),x.mu);\n                uint256 noise = 9000000000000 + wmul(residual,residual);\n                uint256 k = wdiv(x.v,x.v+noise);\n                return (_blend(x.mu,normal,k),wmul(x.v,WAD-k),0);\n            }\n            return (x.mu,x.v,0);\n        }\n        uint256 e = wdiv(absDiff(x.obs,x.mu),x.mu);\n        uint256 totalV = x.v + 22500000000;\n        uint256 z = wdiv(wmul(e,e),totalV);\n        uint256 density = _powWad(wdiv(WAD,WAD+z/8),4);\n        uint256 odds = wmul(density,wdiv(4000000000000000,_isqrt(totalV*WAD)));\n        if (x.size > 3000000000000000) odds = wmul(odds,4*WAD/10);\n        if (x.silent > 1) odds = wmul(odds,8*WAD/10);\n        uint256 sd = _isqrt(x.v*WAD);\n        uint256 width = wdiv(hi-lo,x.mu);\n        uint256 distance = x.mu<lo?lo-x.mu:(x.mu>hi?x.mu-hi:0);\n        uint256 zBand = wdiv(wdiv(distance,x.mu),sd);\n        uint256 mass = wmul(wdiv(width,width+2*sd),wdiv(WAD,WAD+wmul(zBand,zBand)));\n        if (mass < WAD/100) mass = WAD/100;\n        odds = wdiv(odds,mass);\n        uint256 prob = wdiv(odds,WAD+odds);\n        uint256 kArb = wdiv(x.v,totalV);\n        uint256 mArb = _blend(x.mu,x.obs,kArb);\n        uint256 mean = _blend(mRetail,mArb,prob);\n        uint256 between = wdiv(absDiff(mArb,mRetail),x.mu);\n        uint256 variance = wmul(prob,wmul(x.v,WAD-kArb)) + wmul(WAD-prob,vRetail)\n            + wmul(wmul(prob,WAD-prob),wmul(between,between));\n        if (variance > 100000000000000) variance = 100000000000000;\n        return (mean,variance,prob);\n    }\n    function _blend(uint256 a,uint256 b,uint256 w) internal pure returns(uint256) {\n        return b>=a ? a+wmul(b-a,w) : a-wmul(a-b,w);\n    }\n    function _band(uint256 mu,uint256 v,uint256 lo,uint256 hi) internal pure returns(uint256,uint256) {\n        // Soft interval likelihood avoids discontinuities at quadrature nodes.\n        uint256 sd=wmul(mu,_isqrt(v*WAD));\n        uint256[3] memory acc;\n        for(uint256 j=0;j<7;j++) {\n            uint256 p=j<3 ? (mu>(3-j)*sd?mu-(3-j)*sd:1) : mu+(j-3)*sd;\n            uint256 w=j==3?72:(j==2||j==4?45:(j==1||j==5?10:1));\n            uint256 distance=p<lo?lo-p:(p>hi?p-hi:0);\n            uint256 z=sd>0?wdiv(distance,sd):0;\n            uint256 likelihood=wdiv(WAD,WAD+4*wmul(z,z));\n            w=wmul(w*WAD,likelihood);\n            acc[0]+=w;acc[1]+=wmul(w,p);\n            uint256 d=wdiv(absDiff(p,mu),mu);\n            acc[2]+=wmul(w,wmul(d,d));\n        }\n        uint256 m=wdiv(acc[1],acc[0]);\n        uint256 d=wdiv(absDiff(m,mu),mu);\n        uint256 second=wdiv(acc[2],acc[0]);\n        return(m,second>wmul(d,d)?second-wmul(d,d):10000000000);\n    }\n\n    function _compressTailWithSlope(uint256 fee, uint256 slope) internal pure returns (uint256) {\n        if (fee <= TAIL_KNEE) return fee;\n        return TAIL_KNEE + wmul(fee - TAIL_KNEE, slope);\n    }\n\n    function _powWad(uint256 factor, uint256 exp) internal pure returns (uint256 result) {\n        result = WAD;\n        while (exp > 0) {\n            if (exp & 1 == 1) result = wmul(result, factor);\n            factor = wmul(factor, factor);\n            exp >>= 1;\n        }\n    }\n\n    function _decayCentered(uint256 centered, uint256 decayFactor, uint256 elapsed) internal pure returns (uint256) {\n        uint256 mul = _powWad(decayFactor, elapsed);\n        if (centered >= WAD) { return WAD + wmul(centered - WAD, mul); }\n        uint256 below = wmul(WAD - centered, mul);\n        return below < WAD ? WAD - below : 0;\n    }\n\n    // Floor square root: bit-length seed and seven Newton steps (all uint256).\n    function _isqrt(uint256 x) internal pure returns (uint256 r) {\n        if (x == 0) return 0;\n        unchecked {\n            uint256 y = x;\n            r = 1;\n            if (y >> 128 != 0) { y >>= 128; r <<= 64; }\n            if (y >> 64 != 0) { y >>= 64; r <<= 32; }\n            if (y >> 32 != 0) { y >>= 32; r <<= 16; }\n            if (y >> 16 != 0) { y >>= 16; r <<= 8; }\n            if (y >> 8 != 0) { y >>= 8; r <<= 4; }\n            if (y >> 4 != 0) { y >>= 4; r <<= 2; }\n            if (y >> 2 != 0) { r <<= 1; }\n            r = (r + x / r) >> 1;\n            r = (r + x / r) >> 1;\n            r = (r + x / r) >> 1;\n            r = (r + x / r) >> 1;\n            r = (r + x / r) >> 1;\n            r = (r + x / r) >> 1;\n            r = (r + x / r) >> 1;\n            uint256 t = x / r;\n            return r < t ? r : t;\n        }\n    }\n\n    function getName() external pure override returns (string memory) { return \"UN_23x8x2\"; }\n}\n","sha256":"5271446c93f1377aba607854fba7107b55b5e2dce166de8c37ef8b2a876a81dd","params":{"architecture":"23-8-2 ReLU fee correction added to 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","port_sha256":"ac6bce02cd657c465ba1b1dc8570abc88ca538e0b3a3b310e45f05583a5a7ea7","notes":["CMA-ES seed 313, population 16, sigma0 0.08, 512 replica markets/generation; 38+ minutes elapsed across checkpointed segments.","Holdout used 40000000..40008191 once after freeze.","Fresh real candidate and FA arms completed over 7385000..7385511 in 16-seed chunks; HA arm intentionally dropped for time.","UN afterSwap peak below 245000 on fresh engine chunks; final validity is false because gate C and required retail/arb deltas were not completed."]}