{ "item": "verify", "batch": "e06-g-base", "blocked": null, "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 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": "610c1905e7dd5559b84e40a3b2d6f8e0b53a7b0ac7574ae33b6c1770a28367cb", "v2_sha256": "28417e116f57f1029fdd1803832e852574902c1ae7253c05657f317db76da4ab", "source_artifacts": { "H": "https://api.imd.fun/artifacts/db62deadd0a3ec885ad69bd3917fee793a924ead522776d73cc09110923e1e86", "Gsrc": "https://api.imd.fun/artifacts/f09f39f5092e5b1e56f156df10f397e5df0e194afa630ab24fc699adfd980d31" }, "simulator_commit": "6b6921f8d463314aa7c96234e1be25a25245f704", "commands": [ "clone pinned simulator commit in workspace; sh scratch/setup.sh", "git apply scratch/instrumentation.patch", "maturin develop --release --uv --manifest-path amm_sim_rs/Cargo.toml", "python scratch/tests.py", "python scratch/harness.py scratch/V2.sol 0 1000 scratch/calibration.json --control", "python scratch/harness.py scratch/G.sol 10000 10512 scratch/paired.json --ref scratch/V2.sol", "set GAS_LIMIT_TRADE=1000000; rebuild; run harness G vs V2 on 10000..10127", "restore GAS_LIMIT_TRADE=250000; rebuild" ], "calibration": { "seeds": [ 0, 999 ], "expected_mean": 526.9433475904315, "observed_mean": 526.9433475904315, "tolerance": 1e-08, "passed": true, "repeat_bit_identical": true, "paired_control": { "label": "control", "n": 1000, "mean_diff": 0.0, "se": 0.0, "sd": 0.0, "n_nonzero": 0, "max_abs_diff": 0.0, "worst": [ { "seed": 0, "diff": 0.0, "edge_a": 479.82669838853377, "edge_b": 479.82669838853377 }, { "seed": 1, "diff": 0.0, "edge_a": 601.090284254864, "edge_b": 601.090284254864 }, { "seed": 2, "diff": 0.0, "edge_a": 416.1210479345224, "edge_b": 416.1210479345224 }, { "seed": 3, "diff": 0.0, "edge_a": 476.0685087435023, "edge_b": 476.0685087435023 }, { "seed": 4, "diff": 0.0, "edge_a": 523.204567294945, "edge_b": 523.204567294945 } ] }, "gas_first": { "submission": { "max_ok": 243510, "oog": 18, "other_errors": 0, "by_callback": { "afterInitialize": { "calls": 1000, "ok": 1000, "max_ok_gas": 236377, "sum_ok_gas": 236377000, "oog": 0, "revert": 0, "other_halt": 0, "tx_error": 0, "bad_return": 0 }, "afterSwap": { "calls": 10340327, "ok": 10340309, "max_ok_gas": 243510, "sum_ok_gas": 1152004012573, "oog": 18, "revert": 0, "other_halt": 0, "tx_error": 0, "bad_return": 0 }, "getName": { "calls": 1000, "ok": 1000, "max_ok_gas": 21545, "sum_ok_gas": 21545000, "oog": 0, "revert": 0, "other_halt": 0, "tx_error": 0, "bad_return": 0 } }, "oog_seeds": [ [ 96, 1 ], [ 99, 1 ], [ 194, 1 ], [ 413, 1 ], [ 430, 4 ], [ 494, 2 ], [ 588, 2 ], [ 802, 2 ], [ 979, 4 ] ] }, "normalizer": { "max_ok": 22592, "oog": 0, "other_errors": 0, "by_callback": { "afterInitialize": { "calls": 1000, "ok": 1000, "max_ok_gas": 21796, "sum_ok_gas": 21796000, "oog": 0, "revert": 0, "other_halt": 0, "tx_error": 0, "bad_return": 0 }, "afterSwap": { "calls": 10762385, "ok": 10762385, "max_ok_gas": 22592, "sum_ok_gas": 242831320024, "oog": 0, "revert": 0, "other_halt": 0, "tx_error": 0, "bad_return": 0 }, "getName": { "calls": 1000, "ok": 1000, "max_ok_gas": 21526, "sum_ok_gas": 21526000, "oog": 0, "revert": 0, "other_halt": 0, "tx_error": 0, "bad_return": 0 } }, "oog_seeds": [] } }, "gas_repeat": { "submission": { "max_ok": 243510, "oog": 18, "other_errors": 0, "by_callback": { "afterInitialize": { "calls": 1000, "ok": 1000, "max_ok_gas": 236377, "sum_ok_gas": 236377000, "oog": 0, "revert": 0, "other_halt": 0, "tx_error": 0, "bad_return": 0 }, "afterSwap": { "calls": 10340327, "ok": 10340309, "max_ok_gas": 243510, "sum_ok_gas": 1152004012573, "oog": 18, "revert": 0, "other_halt": 0, "tx_error": 0, "bad_return": 0 }, "getName": { "calls": 1000, "ok": 1000, "max_ok_gas": 21545, "sum_ok_gas": 21545000, "oog": 0, "revert": 0, "other_halt": 0, "tx_error": 0, "bad_return": 0 } }, "oog_seeds": [ [ 96, 1 ], [ 99, 1 ], [ 194, 1 ], [ 413, 1 ], [ 430, 4 ], [ 494, 2 ], [ 588, 2 ], [ 802, 2 ], [ 979, 4 ] ] }, "normalizer": { "max_ok": 22592, "oog": 0, "other_errors": 0, "by_callback": { "afterInitialize": { "calls": 1000, "ok": 1000, "max_ok_gas": 21796, "sum_ok_gas": 21796000, "oog": 0, "revert": 0, "other_halt": 0, "tx_error": 0, "bad_return": 0 }, "afterSwap": { "calls": 10762385, "ok": 10762385, "max_ok_gas": 22592, "sum_ok_gas": 242831320024, "oog": 0, "revert": 0, "other_halt": 0, "tx_error": 0, "bad_return": 0 }, "getName": { "calls": 1000, "ok": 1000, "max_ok_gas": 21526, "sum_ok_gas": 21526000, "oog": 0, "revert": 0, "other_halt": 0, "tx_error": 0, "bad_return": 0 } }, "oog_seeds": [] } } }, "paired": { "n": 512, "mean_diff": 0.0015018653465587173, "se": 0.0014330475717100326, "worst": { "seed": 10300, "diff": -0.03500575096325065, "edge_a": 650.5947451321298, "edge_b": 650.629750883093 }, "max_abs_diff": 0.7304987692035638, "valid": true, "invalid_reasons": [], "summary": { "label": "candidate_minus_V2", "n": 512, "mean_diff": 0.0015018653465587173, "se": 0.0014330475717100326, "sd": 0.03242616498301054, "n_nonzero": 9, "max_abs_diff": 0.7304987692035638, "worst": [ { "seed": 10300, "diff": -0.03500575096325065, "edge_a": 650.5947451321298, "edge_b": 650.629750883093 }, { "seed": 10044, "diff": -0.023879557265217954, "edge_a": 581.4479025749735, 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" 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" }, "discrepancies": [ "The paired +0.0015018653465587173 is specific to the measured 512-seed block; it is not an extrapolated gain.", "V2 OOG: 13 swap calls on 9 seeds. G OOG: zero. Every nonzero paired difference is on a V2 OOG seed; all other 503 seeds match exactly.", "The 1M-gas diagnostic was followed by a successful rebuild restoring the 250k afterSwap limit." ], "not_measured": [ "No tuning or holdout run.", "No board submission or rank gain claimed." ] }