{ "delta": "Reconstruct NP2 from TWO plus NP's Interior retail routing block; baseline SHA256 51f1c1a9d4999ee460eb8bbc66880da8074b173399a4f5d71f96671482e18ac0. At the existing pHat gate set slots[13] = firstInStep && ret <= adaptiveGate ? 1 : 0 (ret computed before updating pHat). Select coefficients using that flag. Chosen STALE_DIR_COEF A/R=6850*BPS, STALE_ATTRACT_FRAC A/R=1050000000000000000 (unchanged); TRADE_TOX_BOOST A=4375*BPS, R=2625*BPS. Remove only unused prePhat/oppDir and the REVERT_U=0 branch to avoid a solc stack error. No changes to fair-price updates, gating, decay, routing, tail compression, or other fee terms. Slot13 overwritten on every print; no new initialization required. Neutral multipliers exactly matched NP2 on 128 tuning seeds.", "code": "// 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[2] = 0; slots[3] = WAD; slots[4] = 0;\n slots[5] = initialX > 0 ? wdiv(initialY, initialX) : 100 * WAD;\n slots[6] = 950000000000000; slots[7] = 800000000000000000; slots[8] = 2000000000000000;\n slots[9] = 0; slots[10] = 0; slots[11] = 0; slots[12] = 0;\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 = 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 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 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 {\n uint256 ret = pHat > 0 ? wdiv(absDiff(pImplied, pHat), pHat) : 0;\n uint256 alpha = firstInStep ? PHAT_ALPHA : PHAT_ALPHA_RETAIL;\n bool secondPrint = !firstInStep && stepTradeCount == 1;\n bool sameDir = false;\n if (secondPrint) {\n bool up2 = pImplied >= pHat;\n uint256 d1 = slots[12];\n if (d1 != 0) { sameDir = (d1 == 1) == up2; }\n if (sameDir) alpha = PHAT_ALPHA_SAME;\n }\n if (firstInStep) { slots[11] = pHat; slots[12] = pImplied >= pHat ? 1 : 2; }\n uint256 adaptiveGate = wmul(sigmaHat, GATE_SIGMA_MULT);\n if (adaptiveGate < MIN_GATE) adaptiveGate = MIN_GATE;\n slots[13] = firstInStep && ret <= adaptiveGate ? 1 : 0;\n if (ret <= adaptiveGate) { pHat = wmul(pHat, WAD - alpha) + wmul(pImplied, alpha); }\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 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\n stepTradeCount = stepTradeCount + 1;\n if (stepTradeCount > STEP_COUNT_CAP) stepTradeCount = STEP_COUNT_CAP;\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, toxSignal) + wmul(TOX_QUAD_COEF, wmul(toxSignal, toxSignal)) + wmul(ACT_COEF, actEma);\n fMid = fMid + wmul(SIGMA_TOX_COEF, wmul(sigmaHat, toxSignal));\n\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 staleShift = wmul((slots[13] == 1 ? 685000000000000000 : 685000000000000000), toxSignal);\n uint256 attractShift = wmul(staleShift, (slots[13] == 1 ? 1050000000000000000 : 1050000000000000000));\n if (spot >= pHat) {\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((slots[13] == 1 ? 437500000000000000 : 262500000000000000), tradeRatio);\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 slots[0] = bidFee; slots[1] = askFee; slots[2] = 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 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 function getName() external pure override returns (string memory) { return \"no_cubic\"; }\n}\n", "sha256": "9d926bbed74eae31eee7bb42a329b01c346d00f63e0c9e154b2589b7f1277928", "tuning": { "seed_start": 10000, "n": 128, "trials": [ { "coordinate": 0, "multipliers": [ 0.5, 1.0, 1.0, 1.0, 1.0, 1.0 ], "n": 128, "mean_diff": -32.318222771740004, "se": 0.5466007046036484, "worst": -47.63282684078399 }, { "coordinate": 0, "multipliers": [ 0.75, 1.0, 1.0, 1.0, 1.0, 1.0 ], "n": 128, "mean_diff": -10.235983411667426, "se": 0.20573122470412727, "worst": -16.53240978800352 }, { "coordinate": 0, "multipliers": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ], "n": 128, "mean_diff": 0.0, "se": 0.0, "worst": 0.0 }, { "coordinate": 0, "multipliers": [ 1.25, 1.0, 1.0, 1.0, 1.0, 1.0 ], "n": 128, "mean_diff": -34.8162275091032, "se": 2.589208612669385, "worst": -187.09413169779123 }, { "coordinate": 0, "multipliers": [ 1.5, 1.0, 1.0, 1.0, 1.0, 1.0 ], "n": 128, "mean_diff": -123.07482138907515, "se": 4.9462708318972455, "worst": -312.9452137963668 }, { "coordinate": 0, "multipliers": [ 2.0, 1.0, 1.0, 1.0, 1.0, 1.0 ], "n": 128, "mean_diff": -255.83994426008863, "se": 4.5744478463914415, "worst": -422.6436622850229 }, { "coordinate": 1, "multipliers": [ 1.0, 0.5, 1.0, 1.0, 1.0, 1.0 ], "n": 128, "mean_diff": -35.99810001639074, "se": 0.6717338134332226, "worst": -56.087688752498025 }, { "coordinate": 1, "multipliers": [ 1.0, 0.75, 1.0, 1.0, 1.0, 1.0 ], "n": 128, "mean_diff": -11.36051790144494, "se": 0.21128951841121288, "worst": -16.928302712985214 }, { "coordinate": 1, "multipliers": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ], "n": 128, "mean_diff": 0.0, "se": 0.0, "worst": 0.0 }, { "coordinate": 1, "multipliers": [ 1.0, 1.25, 1.0, 1.0, 1.0, 1.0 ], "n": 128, "mean_diff": -9.860738277402547, "se": 0.551742726486825, "worst": -57.68283849744512 }, { "coordinate": 1, "multipliers": [ 1.0, 1.5, 1.0, 1.0, 1.0, 1.0 ], "n": 128, "mean_diff": -37.07580634226899, "se": 1.3794836408948707, "worst": -106.7223612011154 }, { "coordinate": 1, "multipliers": [ 1.0, 2.0, 1.0, 1.0, 1.0, 1.0 ], "n": 128, "mean_diff": -100.96012666181176, "se": 2.8040420571508173, "worst": -195.52233815855732 }, { "coordinate": 2, "multipliers": [ 1.0, 1.0, 0.5, 1.0, 1.0, 1.0 ], "n": 128, "mean_diff": -4.5613169013298505, "se": 0.1095789244774336, "worst": -10.48613656246539 }, { "coordinate": 2, "multipliers": [ 1.0, 1.0, 0.75, 1.0, 1.0, 1.0 ], "n": 128, "mean_diff": -1.0787246389021274, "se": 0.060038631194878095, "worst": -6.4196914106530585 }, { "coordinate": 2, "multipliers": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ], "n": 128, "mean_diff": 0.0, "se": 0.0, "worst": 0.0 }, { "coordinate": 2, "multipliers": [ 1.0, 1.0, 1.25, 1.0, 1.0, 1.0 ], "n": 128, "mean_diff": -0.11186987460924547, "se": 0.04282119267624528, "worst": -1.0127142147690051 }, { "coordinate": 2, "multipliers": [ 1.0, 1.0, 1.5, 1.0, 1.0, 1.0 ], "n": 128, "mean_diff": -0.7220284883224215, "se": 0.05710206017996193, "worst": -4.796686962465515 }, { "coordinate": 2, "multipliers": [ 1.0, 1.0, 2.0, 1.0, 1.0, 1.0 ], "n": 128, "mean_diff": -1.858460668852957, "se": 0.06767325502375912, "worst": -5.33071796550621 }, { "coordinate": 3, "multipliers": [ 1.0, 1.0, 1.0, 0.5, 1.0, 1.0 ], "n": 128, "mean_diff": -2.2364536117311697, "se": 0.08950903528477706, "worst": -6.401777586600133 }, { "coordinate": 3, "multipliers": [ 1.0, 1.0, 1.0, 0.75, 1.0, 1.0 ], "n": 128, "mean_diff": -0.39467008507567947, "se": 0.05290439136213134, "worst": -5.473266401807109 }, { "coordinate": 3, "multipliers": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ], "n": 128, "mean_diff": 0.0, "se": 0.0, "worst": 0.0 }, { "coordinate": 3, "multipliers": [ 1.0, 1.0, 1.0, 1.25, 1.0, 1.0 ], "n": 128, "mean_diff": -0.25376217712240123, "se": 0.02895485637757011, "worst": -1.672390635554052 }, { "coordinate": 3, "multipliers": [ 1.0, 1.0, 1.0, 1.5, 1.0, 1.0 ], "n": 128, "mean_diff": -0.5816726847108336, "se": 0.034479271151049234, "worst": -1.8056449726967685 }, { "coordinate": 3, "multipliers": [ 1.0, 1.0, 1.0, 2.0, 1.0, 1.0 ], "n": 128, "mean_diff": -1.2548865386249326, "se": 0.04743592840048817, "worst": -3.3406667517859887 }, { "coordinate": 4, "multipliers": [ 1.0, 1.0, 1.0, 1.0, 0.5, 1.0 ], "n": 128, "mean_diff": -0.21502997373422206, "se": 0.04457882628613678, "worst": -1.3901903713654065 }, { "coordinate": 4, "multipliers": [ 1.0, 1.0, 1.0, 1.0, 0.75, 1.0 ], "n": 128, "mean_diff": -0.06713935952268857, "se": 0.022170766029094995, "worst": -0.724397241563679 }, { "coordinate": 4, "multipliers": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ], "n": 128, "mean_diff": 0.0, "se": 0.0, "worst": 0.0 }, { "coordinate": 4, "multipliers": [ 1.0, 1.0, 1.0, 1.0, 1.25, 1.0 ], "n": 128, "mean_diff": 0.0017378371334864084, "se": 0.03258084341293763, "worst": -0.7912333766065558 }, { "coordinate": 4, "multipliers": [ 1.0, 1.0, 1.0, 1.0, 1.5, 1.0 ], "n": 128, "mean_diff": -0.12437730626720711, "se": 0.04215605981180278, "worst": -1.1870592855697168 }, { "coordinate": 4, "multipliers": [ 1.0, 1.0, 1.0, 1.0, 2.0, 1.0 ], "n": 128, "mean_diff": -0.7113798522181858, "se": 0.0571264502496089, "worst": -2.7195328080592844 }, { "coordinate": 5, "multipliers": [ 1.0, 1.0, 1.0, 1.0, 1.25, 0.5 ], "n": 128, "mean_diff": 0.002884114211013422, "se": 0.02944807460369918, "worst": -1.0651422758254512 }, { "coordinate": 5, "multipliers": [ 1.0, 1.0, 1.0, 1.0, 1.25, 0.75 ], "n": 128, "mean_diff": 0.03136487865423243, "se": 0.025028680042048432, "worst": -0.7450643963704806 }, { "coordinate": 5, "multipliers": [ 1.0, 1.0, 1.0, 1.0, 1.25, 1.0 ], "n": 128, "mean_diff": 0.0017378371334864084, "se": 0.03258084341293763, "worst": -0.7912333766065558 }, { "coordinate": 5, "multipliers": [ 1.0, 1.0, 1.0, 1.0, 1.25, 1.25 ], "n": 128, "mean_diff": -0.08479167389780695, "se": 0.035028968543113444, "worst": -1.5988929050331535 }, { "coordinate": 5, "multipliers": [ 1.0, 1.0, 1.0, 1.0, 1.25, 1.5 ], "n": 128, "mean_diff": -0.16296543903355998, "se": 0.04146296983614514, "worst": -2.0377151889788365 }, { "coordinate": 5, "multipliers": [ 1.0, 1.0, 1.0, 1.0, 1.25, 2.0 ], "n": 128, "mean_diff": -0.4227669942717358, "se": 0.048834165167535686, "worst": -1.5654770294047466 } ], "selected": [ 1.0, 1.0, 1.0, 1.0, 1.25, 0.75 ], "ch_mean": 525.5258821780834, "coordinates": [ "STALE_DIR_COEF_A", "STALE_DIR_COEF_R", "STALE_ATTRACT_FRAC_A", "STALE_ATTRACT_FRAC_R", "TRADE_TOX_BOOST_A", "TRADE_TOX_BOOST_R" ], "grid": [ 0.5, 0.75, 1, 1.25, 1.5, 2 ], "selection": "One coordinate pass in listed order; maximize mean paired edge difference; carry selected values into subsequent coordinates. 36 points, 128 seeds each, all seeds 10000..10127; no confirmation-driven retuning.", "neutral_equivalence": { "n": 128, "mean_diff": 0.0, "se": 0.0, "worst": 0.0 }, "calibration": { "strategy": "CH", "sha256": "6dd68f77a70900319460215374143dbd5d924198450a46d9f5f91f6b1e3d35c3", "seed_start": 0, "n": 1000, "mean_edge": 525.5258821780834 } }, "paired": { "n": 2000, "mean_diff": -0.002592032365438854, "se": 0.008785656469576335, "worst": -3.815097483283921, "seed_start": 2740000, "reference_mean": 524.9482101568426, "candidate_mean": 524.945618124477, "worst_seeds": [ { "seed": 2740049, "diff": -3.815097483283921 }, { "seed": 2741964, "diff": -3.440700356880029 }, { "seed": 2741470, "diff": -2.2858587297854456 }, { "seed": 2740591, "diff": -1.5045750440280017 }, { "seed": 2740351, "diff": -1.1664750546249252 } ] }, "split": { "arb": null, "retail": null, "note": "Separate arb/retail edge differences not measured; the unmodified batch API exposes aggregate edge and separate volumes only." }, "fee_stats": { "bid": 0.0036409514704852323, "ask": 0.0035510507440193076, "units": "fraction; mean of per-simulation time-average fees" }, "blocked": null, "next": "Retain NP2; this coarse situation-shift search does not establish a useful gain. If continuing, test finer boost settings on new tuning seeds and reserve a different fresh confirmation block.", "method": { "simulator_commit": "6b6921f8d463314aa7c96234e1be25a25245f704", "reference": "NP2", "reference_sha256": "51f1c1a9d4999ee460eb8bbc66880da8074b173399a4f5d71f96671482e18ac0", "configuration": "For each seed s: rng=numpy.random.default_rng(s); size=rng.uniform(19,21); rate=rng.uniform(.6,1); sigma=rng.uniform(.000882,.001008); build_config(seed=s,gbm_sigma=sigma,retail_arrival_rate=rate,retail_mean_size=size). Defaults otherwise. Price seed s, retail seed s+1.", "evaluation": "Compile using simulator SolidityCompiler defaults and compile VanillaStrategy.sol with contract_name VanillaStrategy. Run cand vs Vanilla and NP2 vs Vanilla separately via amm_sim_rs.run_batch, 20 seeds per call (last tuning call 8), n_workers=4; use edges[submission]. d=cand-NP2; se=sample SD(d)/sqrt(n); worst=min(d). Confirmation block used once after freezing.", "fees": "Bid and ask are fractions, averaged equally over the 2000 per-simulation time-average fees.", "classification": "A=firstInStep && ret<=adaptiveGate using original NP2 pHat, sigmaHat and pImplied; R=all other prints. Labels are inferred print classes, not simulator truth." }, "checks": { "setup": "passed; release extension built and StarterStrategy validated", "candidate_validation": "amm-match validate scratch/Strategy.sol passed", "compiler_repair": "Initial classifier variants hit Yul stack depth. Removing disabled revert scaffolding allowed compilation; neutral behavior equivalence verified before tuning.", "confirmation_runs": 1 }, "interpretation": "Tuning improvement is small relative to uncertainty; no evidence here of the +5.8 edge gain needed for top 10." }