{ "item": "later", "batch": "e08-small-floor", "blocked": null, "confirmation": null, "summary": "Gated (!firstInStep) floor of the lower final G fee at F bps (max(lower,F), capped by higher fee, ties unchanged, applied after clamp/tail compression, staleShift preserved). Every F loses to V2 monotonically in F; best F=1 is -0.199+/-0.006 on tuning (n=512). Negative result; do not confirm.", "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[3] = WAD; \n slots[5] = initialX > 0 ? wdiv(initialY, initialX) : 100 * WAD;\n slots[6] = 950000000000000; slots[7] = 800000000000000000; slots[8] = 2000000000000000;\n 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 uncertainty += wmul(sigmaForFast, sigmaForFast) * elapsedRaw;\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 {\n uint256 ret = fastHat > 0 ? wdiv(absDiff(pImplied, fastHat), fastHat) : 0;\n uint256 alpha;\n if (firstInStep) {\n uint256 processSigma = sigmaForFast;\n uint256 obsVar = uncertainty + wmul(processSigma, processSigma);\n uint256 probArb;\n uint256 z2 = wdiv(wmul(ret, ret), obsVar);\n uint256 density = _powWad(wdiv(WAD, WAD + z2 / 16), 8);\n uint256 sigmaObs = _isqrt(obsVar * WAD);\n uint256 odds = wmul(density, wdiv(6700000000000000, sigmaObs));\n bool arbFlag = ret <= wmul(sigmaForFast, 1220000000000000000);\n uint256 prior = arbFlag ? 650000000000000000 : 400000000000000000;\n uint256 tr = trade.reserveY > 0 ? wdiv(trade.amountY, trade.reserveY) : 0;\n if (tr > 3000000000000000) prior = wmul(prior, 6 * WAD / 10);\n if (silent > 1) prior = wmul(prior, 8 * WAD / 10);\n odds = wmul(odds, wdiv(prior, WAD - prior));\n probArb = wdiv(odds, WAD + odds);\n alpha = wmul(probArb, 600000000000000000) + wmul(WAD - probArb, 80000000000000000);\n slots[15] = pImplied >= fastHat ? 1 : 2;\n uncertainty = wmul(uncertainty, WAD - alpha);\n } else {\n if ((slots[15] == 1) == (pImplied >= fastHat)) alpha = PHAT_ALPHA_RETAIL;\n }\n uint256 gate = wmul(sigmaHat, GATE_SIGMA_MULT);\n if (gate < MIN_GATE) gate = MIN_GATE;\n if (ret <= gate) fastHat = wmul(fastHat, WAD - alpha) + wmul(pImplied, alpha);\n slots[13] = uncertainty;\n }\n\n if (!firstInStep && feeUsed > 30 * BPS && gamma > 0) {\n uint256 normalObs = trade.isBuy\n ? wdiv(wmul(spot, gamma), WAD - 30 * BPS)\n : wdiv(wmul(spot, WAD - 30 * BPS), gamma);\n if ((slots[15] == 1) == (normalObs >= fastHat)) {\n fastHat = wmul(fastHat, 9 * WAD / 10) + wmul(normalObs, WAD / 10);\n }\n }\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\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 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 (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 uint256 flr = 1 * 100000000000000;\n if (bidFee < askFee) { uint256 nb = bidFee > flr ? bidFee : flr; bidFee = nb < askFee ? nb : askFee; }\n else if (askFee < bidFee) { uint256 na = askFee > flr ? askFee : flr; askFee = na < bidFee ? na : bidFee; }\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 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 \"no_cubic\"; }\n}\n", "sha256": "e7f7111d7f13c49ca0cc31d6819964919d883cce9f78d07a29d1768dcf602088", "base_sha256": "610c1905e7dd5559b84e40a3b2d6f8e0b53a7b0ac7574ae33b6c1770a28367cb", "v2_sha256": "28417e116f57f1029fdd1803832e852574902c1ae7253c05657f317db76da4ab", "selected_variant": { "name": "F1", "F_bps": 1, "rule": "best (least negative) valid screen mean_diff" }, "freeze": { "frozen_after": "screen on 20000..20255", "source_sha256": "e7f7111d7f13c49ca0cc31d6819964919d883cce9f78d07a29d1768dcf602088" }, "paired": { "stage": "tuning", "seeds": [ 22000, 22511 ], "n": 512, "mean_diff": -0.19850199296111337, "se": 0.006174309829601133, "worst": { "seed": 22444, "diff": -1.166870194848002, "edge_a": 633.9994744971629, "edge_b": 635.1663446920109 }, "n_nonzero": 512 }, "stages": { "screen": { "seeds": [ 20000, 20255 ], "n": 256, "variants": { "F1": { "F_bps": 1, "sha256": "e7f7111d7f13c49ca0cc31d6819964919d883cce9f78d07a29d1768dcf602088", "valid": true, "invalid_reasons": [], "paired": { "n": 256, "mean_diff": -0.21664901613852705, "se": 0.008049862071006938, "worst": { "seed": 20069, "diff": -0.7029149012872722, "edge_a": 535.9253670297265, "edge_b": 536.6282819310138 }, "n_nonzero": 256 }, "retail_edge_delta_mean": -0.2475814460399257, "arb_edge_delta_mean": 0.03093242990141247, "v2_volume_terciles": [ { "mean_diff": -0.15943683615263218, "se": 0.011057843190762097, "n": 85 }, { "mean_diff": -0.23263993153489618, "se": 0.013318872500715728, "n": 85 }, { "mean_diff": -0.257390963697942, "se": 0.015013986942171624, "n": 86 } ], "gas": { "max_ok_afterSwap": 211318, "init_max": 220953, "oog": 0, "other_errors": 0 }, "v2_gas": { "max_ok_afterSwap": 242807, "init_max": 236377, "oog": 1, "other_errors": 0 }, "recon_err": [ 6.366462912410498e-12, 6.792788553866558e-12 ], "counters_match": [ true, true ] }, "F2": { "F_bps": 2, "sha256": "2505a0548c650d1effa15fbe1be3dfa45f4b6ba7786dc509669b3818aae61fa7", "valid": true, "invalid_reasons": [], "paired": { "n": 256, "mean_diff": -0.42452847920509984, "se": 0.011587286758762427, "worst": { "seed": 20107, "diff": -0.9596023412379964, "edge_a": 510.8094449887043, "edge_b": 511.7690473299423 }, "n_nonzero": 256 }, "retail_edge_delta_mean": -0.4845145444042598, "arb_edge_delta_mean": 0.059986065199357216, "v2_volume_terciles": [ { "mean_diff": -0.3239881732490102, "se": 0.01312298664403465, "n": 85 }, { "mean_diff": -0.43687996816664537, "se": 0.018482002655277077, "n": 85 }, { "mean_diff": -0.5116918448392422, "se": 0.022101502981897576, "n": 86 } ], "gas": { "max_ok_afterSwap": 211318, "init_max": 220953, "oog": 0, "other_errors": 0 }, "v2_gas": { "max_ok_afterSwap": 242807, "init_max": 236377, "oog": 1, "other_errors": 0 }, "recon_err": [ 7.44648787076585e-12, 6.792788553866558e-12 ], "counters_match": [ true, true ] }, "F4": { "F_bps": 4, "sha256": "8bc2c50c9ccfd959710895e1ed33b76361f02565719c43b5d2659d5a187a828c", "valid": true, "invalid_reasons": [], "paired": { "n": 256, "mean_diff": -0.8772680803668105, "se": 0.021160735161059305, "worst": { "seed": 20115, "diff": -2.397399272093139, "edge_a": 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644.7056225666179 }, "n_nonzero": 256 }, "retail_edge_delta_mean": -2.1199879619117477, "arb_edge_delta_mean": 0.2674986398910945, "v2_volume_terciles": [ { "mean_diff": -1.4263066484325437, "se": 0.03809732836899603, "n": 85 }, { "mean_diff": -1.8907382533129795, "se": 0.04607779595302142, "n": 85 }, { "mean_diff": -2.2359122068477606, "se": 0.06012562048865003, "n": 86 } ], "gas": { "max_ok_afterSwap": 211318, "init_max": 220953, "oog": 0, "other_errors": 0 }, "v2_gas": { "max_ok_afterSwap": 242807, "init_max": 236377, "oog": 1, "other_errors": 0 }, "recon_err": [ 7.73070496506989e-12, 6.792788553866558e-12 ], "counters_match": [ true, true ] } }, "G_control": { "sha256": "610c1905e7dd5559b84e40a3b2d6f8e0b53a7b0ac7574ae33b6c1770a28367cb", "valid": true, "paired": { "n": 256, "mean_diff": 7.125186787249049e-07, "se": 7.125186787249048e-07, "n_nonzero": 1, "max_abs_diff": 0.00018240478175357566 }, "gas": { "max_ok": 220944, "oog": 0 }, "v2_gas": { "max_ok": 242807, "oog": 1 } } }, "tuning": { "seeds": [ 22000, 22511 ], "variant": "F1", "valid": true, "invalid_reasons": [], "paired": { "n": 512, "mean_diff": -0.19850199296111337, "se": 0.006174309829601133, "worst": { "seed": 22444, "diff": -1.166870194848002, "edge_a": 633.9994744971629, "edge_b": 635.1663446920109 }, "n_nonzero": 512 }, "retail_edge_delta_mean": -0.2275814130306375, "arb_edge_delta_mean": 0.029079420069564578, "v2_volume_terciles": [ { "mean_diff": -0.1482781336390691, "se": 0.0070816627927588385, "n": 170 }, { "mean_diff": -0.19451731258580982, "se": 0.010168858904474064, "n": 170 }, { "mean_diff": -0.2520802008015153, "se": 0.012556207799772918, "n": 172 } ], "gas": { "max_ok_afterSwap": 211342, "init_max": 220953, "oog": 0, "other_errors": 0 }, "v2_gas": { "max_ok_afterSwap": 243605, "init_max": 236377, "oog": 6, "other_errors": 0 }, "recon_err": [ 6.0822458181064576e-12, 7.73070496506989e-12 ], "counters_match": [ true, true ] } }, "gas": { "max_ok_afterSwap": 211342, "init_max": 220953, "oog": 0, "other_errors": 0 }, "v2_gas": { "max_ok_afterSwap": 243605, "init_max": 236377, "oog": 6, "other_errors": 0 }, "retail_arb_edge_deltas": { "retail": -0.2275814130306375, "arb": 0.029079420069564578 }, "v2_volume_terciles": [ { "mean_diff": -0.1482781336390691, "se": 0.0070816627927588385, "n": 170 }, { "mean_diff": -0.19451731258580982, "se": 0.010168858904474064, "n": 170 }, { "mean_diff": -0.2520802008015153, "se": 0.012556207799772918, "n": 172 } ], "checks": { "setup": "scratch/setup.sh ok; instrumentation.patch applied; maturin release rebuild ok; tests.py all_pass true; amm-match validate ok for G and all 4 variants", "harness_validity": "complete seeds, per-seed/global counters match, retail+arb reconciliation <1e-8, no other_errors, Vanilla clean, candidate OOG (0) <= V2 OOG", "method": "each strategy run separately via amm_sim_rs.run_batch(X,Vanilla,configs,8), chunks of 32, MatchRunner configs (default_rng(seed) size,rate,sigma); V2 baseline rows reused across screen variants; 512-seed stage run as two 256-seed halves merged", "simulator": "benedictbrady/amm-challenge @ 6b6921f8d463314aa7c96234e1be25a25245f704; cloned under test/scratch (not in submission)" }, "variant_generator": { "description": "python gen.py G.sol OUTDIR -> G_F{1,2,4,8}.sol; inserts block before the slots[0]= store line", "source": "import sys,hashlib\nsrc=open(sys.argv[1]).read()\nanchor=\" slots[0] = bidFee; slots[1] = askFee; slots[2]\"\nassert src.count(anchor)==1\nfor F in (1,2,4,8):\n ins=(f\" if (!firstInStep) {{\\n\"\n f\" uint256 flr = {F} * 100000000000000;\\n\"\n f\" if (bidFee < askFee) {{ uint256 nb = bidFee > flr ? bidFee : flr; bidFee = nb < askFee ? nb : askFee; }}\\n\"\n f\" else if (askFee < bidFee) {{ uint256 na = askFee > flr ? askFee : flr; askFee = na < bidFee ? na : bidFee; }}\\n\"\n f\" }}\\n\")\n out=src.replace(anchor,ins+anchor)\n p=f\"{sys.argv[2]}/G_F{F}.sol\"; open(p,'w').write(out)\n print(p,hashlib.sha256(out.encode()).hexdigest())\n" }, "not_done": "No seeds >=4000000 used; no confirmation; no board claim." }