{
 "notes": "EPISODE 8 (2026-11-07). STATE: episode 7 carried nothing out: both r4-pre spawns were refused (\"no value for {{key}}\": the briefs used {{key}} but the items' vars had no `key`), so their reads and wakes were refused too. LESSON: every placeholder in a brief needs a var of that name in EVERY item (this episode's items carry key, idea/task, kind). Round 3 (27 items) still has 18 in flight: r3-d1 decay-cap, alpha-grid, highfee; r3-d2 all 5; r3-d3 all 4; r3-f1 post-arb-pair; r3-f2 th-pia; r3-m1 all 4. Read 8 results (kalman-gate, gate-grid, norm-phat, two-print, ablate, lite9, r1/interval-tracker, r2/arb-class).\n\nPROMOTION 3: best = NP = CH plus a normalizer-spot observation (r3-f1/norm-phat), sha256 f1ea5b95c853ef28399a0b22ec222773525dba18c92282c04993170c97b57c83. Paired vs CH on 600000..601999 (ep6 fresh block; tuned only on 10000..10499): +0.4645 se 0.0159 n 2000 (worst -4.58 seed 601271); score 0..999 = 526.0337302497852 (se 2.79). About +1.43 over YQ (the requester submits at +2 over YQ with a change of ours: not reached). DELTA (verified by diff against CH: 9 lines inserted right before `uint256 tradeRatio = ...`): `if(!firstInStep&&feeUsed>30*BPS&&gamma>0){uint256 nS=trade.isBuy?wdiv(wmul(spot,gamma),WAD-30*BPS):wdiv(wmul(spot,WAD-30*BPS),gamma);pHat=wmul(pHat,9*WAD/10)+wmul(nS,WAD/10);}`. Mechanism: the router equalises fee-adjusted marginal prices, so a later-in-step print reveals the 30 bps pool's spot, a second noisy observation of the fair price; blend 0.1 won (0.3: -0.83; 0.5: -6.0; a hard clamp into its band: -23.5). Round 3 has a promotion: stop rule untouched. NP calibration (900000..909999): r4-m1/calib-a+b, pooled as mean=(sumA+sumB)/n with se from the pooled sums of squares. CH calibration: r3-m1/ch-calib (pending).\n\nSCOREBOARD (paired, n 2000 unless said):\n- vs CH 6dd68f77 on 600000..601999: norm-phat +0.4645 se 0.0159 (PROMOTED); two-print (same-direction second print alpha 0.12 instead of 0.06, slots 11-12, sha 6f23c204) +0.248 se 0.013, 0..999 525.777, combined with NP in r4-d2/np-two; ablate (CH minus the SIGMA_TOX_COEF term, sha 362d6ac9) +0.0014 se 0.0014: free; gate-grid (GATE_SIGMA_MULT 5) -0.014 se 0.015: the gate is at a local optimum and an in-sample +0.044 over 25 cells vanished out of sample (tune on >=2000 seeds per cell); kalman-gate -0.211 se 0.015; lite9 blocked (arm64, no solc binary; rerun r4-s1/lite9).\n- r1/interval-tracker (sha d0332324): 0..999 = 524.13, below YQ and CH; its \"+6.40 vs YQ\" was a head-to-head market (candidate against YQ as the competing pool), not our paired measure: not a base. r2/arb-class -305 vs YQ: dead.\n- Promotion 2 (ep6): CH = ChengHua926/amm-challenge d34a5199 contracts/src/Strategy.sol, sha 6dd68f77a70900319460215374143dbd5d924198450a46d9f5f91f6b1e3d35c3, +0.962 se 0.021 vs YQ on 400000..401999, 0..999 = 525.525882178. Promotion 1 (ep4): YQ = jiayaoqijia/amm-challenge-yq 3e9dc7d5 contracts/src/Strategy.sol, sha 00fae418c49cd681ad0879c6f96ebed0163fab5a660b38030f11e6947a39afd4, +154.69 se 0.95 vs StarterStrategy (sha 8f2cea33) on 100000..101999; 0..999 = 524.6271111458843; calibration 522.520303864629 se 0.917. Calibration anchors: vanilla 342.26191722896806 se 0.5176, starter 367.91606344584477 se 0.5900.\n- BOARD MAP: board = local 0..999 minus 0.7-3.7 (starter 367.18 board / 367.92 local; YQ 523.21 / 524.63). 1st (528.40) needs about 529.5-530 local = +3.5-4 over NP; the board's 10th (524.66) is below NP locally.\n\nDECIDED (31 items, 120 of 600 used): round 4 as NP deltas, fresh block 800000..801999, tuning 30000..39999, >=2000 seeds per cell. r4-d1: np-weight, np-size, np-first, np-lowfee, np-nhat. r4-d2: np-sigma, np-two (NP + two-print), np-alpha, np-lambda, np-move. r4-d3: np-attract, np-silence, np-arbreset, np-clip. r4-f1: fill-rate, side-asym, exact-stale, uncensor, regress. r4-f2: th-killed, edge-base, warmup, recenter, phase2. r4-s1: strip, lite9, tail-one. r4-m1: replicate (NP vs CH, YQ and starter on 800000..801999, plus gas), calib-a (900000..904999), calib-b (905000..909999). r4-trunk (code, scope best/**): writes best/Strategy.sol = NP and best/SCOREBOARD.md into the trunk (github.com/identity-md-launches/goal-3094-take-network-1st-paradigm-s, r1 merged at 5527a7f0) so the best can travel by URL. SETUP SCRIPT: the requester's 04:44Z script (2702 chars) cannot fit a 3000-char brief with a task, so every brief carries a compressed same-step version (1100 chars; Linux x86_64 only, anything else prints BLOCKED and the idea reruns elsewhere; uv release binary, micromamba gcc when cc is missing, rustup minimal into scratch/, `uv venv --python 3.12`, maturin develop, validate). The write-up must state this deviation. Wake: r4 batches settle or 360 min.\n\nNEXT EPISODE (9): 1) Read everything handed (r4 x30, r3 x18 as they land). Drop any item with paired.n 0 or under 500 (rerun later; not a failure). Scoreboard per item vs NP on 800000..801999; r3 items are vs CH on 600000..601999 and a clearing r3 delta is worth porting to NP. 2) PROMOTION 4 = largest mean_diff >= 2 se with n >= 2000 vs NP. If several clear (likely np-two plus a normalizer-inference refinement), spawn round 5 as a SMALL final round (<= 15 items): combo items 'NP + delta1 + delta2' (deltas pasted from the results, each <= 1500 chars), tuned on 40000..49999 and confirmed on 1000000..1001999 (ep9 fresh block; 900000..909999 stays report-only), two independent replicates of the promoted file, and its calibration in 2 x 5000 seeds. If nothing clears, round 4 counts as no promotion (round 3 had one, so the stop rule is not yet triggered). 3) Record NP's calibration (pool calib-a+b) and CH's (ch-calib); say whether NP reaches 525 there (expect about 524: 0..999 runs about 2.1 above calibration). 4) If r4-trunk merged, later briefs may point at the trunk's best/Strategy.sol raw URL instead of pasting the delta. 5) Episode 10 is the last: set finish=true there (or in ep9 if round 5 cannot land in time) and write up: the best .sol (rebuilt from CH + deltas, sha stated), paired gain over the starter (chain YQ +154.69 se 0.95, CH +0.962 se 0.021, NP +0.4645 se 0.0159, se combined as the root of summed squares, or r4-m1/replicate's direct NP vs starter), over the previous best, the ranked promotions table, calibration numbers, the board map, the setup-script deviation, citations (YQ, ChengHua, shl0k28, dipankar, elizabeth repos; Algebra medium post; Bruno I. LinkedIn; HackMD note; paradigm API).\n\nCARRIED FORWARD: seeds: `amm-match run --simulations N` = seeds 0..N-1 (MatchRunner._build_configs: numpy default_rng(seed) draws mean size, rate, sigma; Rust price seed = seed, retail seed+1); other ranges via amm_sim_rs.run_batch with explicit seeds; runs are bit-reproducible across machines. Fresh block for episode e = e*100000..+1999 (ep8 = 800000..801999; ep9 = 1000000..1001999 because 900000.. is the calibration set); tune only on 0..99999 (r3 10000.., r4 30000.., r5 40000..); promote only when paired mean_diff >= 2 se, n >= 2000, on the episode's fresh block vs the current best. Rules: `contract Strategy is AMMStrategyBase`, imports ./AMMStrategyBase.sol + ./IAMMStrategy.sol only, slots 0..31, 250000 gas, solc 0.8.24 viaIR, max fee 10%, no loops over history (CH's _powWad with exponent <= 8 is fine). Simulator: 10000 steps; GBM sigma U(0.000882,0.001008) per sim; arb each step leaves spot at the band edge (AMM bought X: p = spot*(1-bid); sold X: p = spot/(1-ask)); Poisson(U(0.6,1.0)) retail, lognormal mean U(19,21) Y sigma 1.2, 50/50; the router splits each order between us and the fixed 30 bps pool so fee-adjusted marginal prices equalise (fee on input, clipped, so a small order may go wholly to one pool); both pools start 100 X / 10000 Y; silence = no arb. Never ask a worker about its machine (ep2 refusal). Brief <= 3000 chars filled; this round's build template leaves about 290 chars for an idea. Timing 0.05-0.2 s/sim with 8 workers; 10000 sims take about 30 min, so calibration runs in halves.",
 "spawn": [
  {
   "name": "r4-d1",
   "brief": "R4 {{kind}} {{key}}: one delta on the best NP, paired. Clone github.com/benedictbrady/amm-challenge at 6b6921f8d463314aa7c96234e1be25a25245f704 into your workspace (never /tmp); save this as scratch/setup.sh, run `sh scratch/setup.sh` once from the checkout root, prefix later commands with `. scratch/env.sh && `:\nset -eu;R=$PWD/scratch;mkdir -p $R/tmp $R/bin $R/solcx\necho \"export TMPDIR=$R/tmp UV_CACHE_DIR=$R/uvc UV_PYTHON_INSTALL_DIR=$R/uvpy RUSTUP_HOME=$R/rustup CARGO_HOME=$R/cargo SOLCX_BINARY_PATH=$R/solcx VIRTUAL_ENV=$PWD/.venv PATH=$PWD/.venv/bin:$R/bin:$R/cargo/bin:\\$PATH\" >$R/env.sh;. $R/env.sh\n[ \"$(uname -sm)\" = \"Linux x86_64\" ]||{ echo BLOCKED platform;exit 3;}\ncommand -v uv >/dev/null||{ curl -LsSf https://github.com/astral-sh/uv/releases/latest/download/uv-x86_64-unknown-linux-gnu.tar.gz|tar -xz -C $R/tmp;cp $R/tmp/uv-*/uv $R/bin/;}\ncommand -v cc >/dev/null||{ curl -Ls https://micro.mamba.pm/api/micromamba/linux-64/latest|tar -xj -C $R bin/micromamba;MAMBA_ROOT_PREFIX=$R/mamba $R/bin/micromamba create -yq -p $R/cenv -c conda-forge gcc;ln -sf $(ls $R/cenv/bin/*gcc|head -n1) $R/bin/cc;}\ncommand -v cargo >/dev/null||{ curl -sSf https://sh.rustup.rs|sh -s -- -y --profile minimal --no-modify-path;}\nuv venv --python 3.12 .venv;uv pip install -e . maturin\nmaturin develop --release --uv --manifest-path amm_sim_rs/Cargo.toml\namm-match validate contracts/src/StarterStrategy.sol\nIf it prints BLOCKED or fails, return blocked={step,error} with every n 0. BASE: CH = https://raw.githubusercontent.com/ChengHua926/amm-challenge/d34a5199c59a4c44d5336a25f1436b4ae1f21104/contracts/src/Strategy.sol. NP = CH plus, right before `uint256 tradeRatio`: `if(!firstInStep&&feeUsed>30*BPS&&gamma>0){uint256 nS=trade.isBuy?wdiv(wmul(spot,gamma),WAD-30*BPS):wdiv(wmul(spot,WAD-30*BPS),gamma);pHat=wmul(pHat,9*WAD/10)+wmul(nS,WAD/10);}` (nS = the 30 bps pool's implied spot). Reproduce first on seeds 0..999: CH 525.525882178, NP 526.0337302497852. IDEA: {{idea}} Pair via amm_sim_rs.run_batch with MatchRunner._build_configs's draws (default_rng(seed): size, rate, sigma; price seed=seed, retail seed+1); diff per seed = candidate-NP; se=sd/sqrt(n). Tune ONLY on 30000..39999, >=2000 seeds per cell; freeze one candidate; measure it ONCE vs NP on fresh 800000..801999 (n 2000, chunks of 500, report n covered); score on 0..999; never 900000..909999. Keep `contract Strategy is AMMStrategyBase`, the two imports, slots 0..31, 250000 gas, no loops; validate must pass. RESULT JSON: approach, tried[{variant,seeds,n,mean_diff,se}], next, code, code_sha256, delta (edits from NP), score{seed_start,n,mean_edge,se}, paired{reference,seed_start,n,mean_diff,se,worst 5 seeds+diffs}, seconds_per_simulation, validate_ok, blocked, citations.",
   "items": [
    {
     "key": "np-weight",
     "vars": {
      "key": "np-weight",
      "idea": "Grid NP's blend weight 0.04, 0.07, 0.1 (=NP), 0.13, 0.16, 0.2 on >=4000 tuning seeds each; freeze the best. If 0.1 wins, deliver NP unchanged, measure it anyway and say so.",
      "kind": "deepen"
     }
    },
    {
     "key": "np-size",
     "vars": {
      "key": "np-size",
      "idea": "Scale NP's weight with print size (an interior router split is reliable only for a print big enough to be split): w=min(0.2,k*amountY/reserveY), and a two-level weight with 0 below a size threshold. Grid k and the threshold.",
      "kind": "deepen"
     }
    },
    {
     "key": "np-first",
     "vars": {
      "key": "np-first",
      "idea": "Apply NP's inference to first-in-step prints too, only when the print cannot be an arbitrage: |pImplied/pHat-1| < feeUsed minus a margin, or spot moved away from pHat. Grid the margin and a separate first-print weight.",
      "kind": "deepen"
     }
    },
    {
     "key": "np-lowfee",
     "vars": {
      "key": "np-lowfee",
      "idea": "NP blends only when feeUsed > 30 bps. Test (a) blending for every feeUsed with gamma>0, (b) a separate weight when feeUsed <= 30 bps (we were cheaper, so small orders may have come wholly to us), (c) a weight falling as feeUsed nears 30 bps.",
      "kind": "deepen"
     }
    },
    {
     "key": "np-nhat",
     "vars": {
      "key": "np-nhat",
      "idea": "Persistent normalizer-spot estimate nHat in slot 11 (init pHat): update from each inference with its own alpha (grid 0.2..0.8), pull toward pHat at each new step, blend pHat toward nHat instead of the raw print, bound pHat softly into nHat's 30 bps band.",
      "kind": "deepen"
     }
    }
   ],
   "output": {
    "format": "json",
    "maxBytes": 64000
   }
  },
  {
   "name": "r4-d2",
   "brief": "R4 {{kind}} {{key}}: one delta on the best NP, paired. Clone github.com/benedictbrady/amm-challenge at 6b6921f8d463314aa7c96234e1be25a25245f704 into your workspace (never /tmp); save this as scratch/setup.sh, run `sh scratch/setup.sh` once from the checkout root, prefix later commands with `. scratch/env.sh && `:\nset -eu;R=$PWD/scratch;mkdir -p $R/tmp $R/bin $R/solcx\necho \"export TMPDIR=$R/tmp UV_CACHE_DIR=$R/uvc UV_PYTHON_INSTALL_DIR=$R/uvpy RUSTUP_HOME=$R/rustup CARGO_HOME=$R/cargo SOLCX_BINARY_PATH=$R/solcx VIRTUAL_ENV=$PWD/.venv PATH=$PWD/.venv/bin:$R/bin:$R/cargo/bin:\\$PATH\" >$R/env.sh;. $R/env.sh\n[ \"$(uname -sm)\" = \"Linux x86_64\" ]||{ echo BLOCKED platform;exit 3;}\ncommand -v uv >/dev/null||{ curl -LsSf https://github.com/astral-sh/uv/releases/latest/download/uv-x86_64-unknown-linux-gnu.tar.gz|tar -xz -C $R/tmp;cp $R/tmp/uv-*/uv $R/bin/;}\ncommand -v cc >/dev/null||{ curl -Ls https://micro.mamba.pm/api/micromamba/linux-64/latest|tar -xj -C $R bin/micromamba;MAMBA_ROOT_PREFIX=$R/mamba $R/bin/micromamba create -yq -p $R/cenv -c conda-forge gcc;ln -sf $(ls $R/cenv/bin/*gcc|head -n1) $R/bin/cc;}\ncommand -v cargo >/dev/null||{ curl -sSf https://sh.rustup.rs|sh -s -- -y --profile minimal --no-modify-path;}\nuv venv --python 3.12 .venv;uv pip install -e . maturin\nmaturin develop --release --uv --manifest-path amm_sim_rs/Cargo.toml\namm-match validate contracts/src/StarterStrategy.sol\nIf it prints BLOCKED or fails, return blocked={step,error} with every n 0. BASE: CH = https://raw.githubusercontent.com/ChengHua926/amm-challenge/d34a5199c59a4c44d5336a25f1436b4ae1f21104/contracts/src/Strategy.sol. NP = CH plus, right before `uint256 tradeRatio`: `if(!firstInStep&&feeUsed>30*BPS&&gamma>0){uint256 nS=trade.isBuy?wdiv(wmul(spot,gamma),WAD-30*BPS):wdiv(wmul(spot,WAD-30*BPS),gamma);pHat=wmul(pHat,9*WAD/10)+wmul(nS,WAD/10);}` (nS = the 30 bps pool's implied spot). Reproduce first on seeds 0..999: CH 525.525882178, NP 526.0337302497852. IDEA: {{idea}} Pair via amm_sim_rs.run_batch with MatchRunner._build_configs's draws (default_rng(seed): size, rate, sigma; price seed=seed, retail seed+1); diff per seed = candidate-NP; se=sd/sqrt(n). Tune ONLY on 30000..39999, >=2000 seeds per cell; freeze one candidate; measure it ONCE vs NP on fresh 800000..801999 (n 2000, chunks of 500, report n covered); score on 0..999; never 900000..909999. Keep `contract Strategy is AMMStrategyBase`, the two imports, slots 0..31, 250000 gas, no loops; validate must pass. RESULT JSON: approach, tried[{variant,seeds,n,mean_diff,se}], next, code, code_sha256, delta (edits from NP), score{seed_start,n,mean_edge,se}, paired{reference,seed_start,n,mean_diff,se,worst 5 seeds+diffs}, seconds_per_simulation, validate_ok, blocked, citations.",
   "items": [
    {
     "key": "np-sigma",
     "vars": {
      "key": "np-sigma",
      "idea": "Use the inferred normalizer spot as a second volatility observation: the return between successive inferences across steps (or nS vs pHat) feeds sigmaHat with its own decay and cap next to CH's first-print return. Grid decay and cap.",
      "kind": "deepen"
     }
    },
    {
     "key": "np-two",
     "vars": {
      "key": "np-two",
      "idea": "Combine NP with two-print (+0.248 se 0.013 vs CH): on a second print in a step whose implied price moves the same way as the first, use alpha 0.12 instead of PHAT_ALPHA_RETAIL 0.06 (first print's direction in slot 12); also test it on later same-direction prints.",
      "kind": "deepen"
     }
    },
    {
     "key": "np-alpha",
     "vars": {
      "key": "np-alpha",
      "idea": "With the normalizer observation in place, retune PHAT_ALPHA (0.27) and PHAT_ALPHA_RETAIL (0.06) jointly with NP's weight on a small grid (alpha 0.2..0.35, retail 0.03..0.1, weight 0.07..0.13).",
      "kind": "deepen"
     }
    },
    {
     "key": "np-lambda",
     "vars": {
      "key": "np-lambda",
      "idea": "Removing CH's lambda term costs 38 points, so its estimator matters most. Combine the per-step print count with the fraction of silent steps (a Poisson rate from gaps, corrected for the normalizer's share); test a cap above 1.82 and a faster warm-up.",
      "kind": "deepen"
     }
    },
    {
     "key": "np-move",
     "vars": {
      "key": "np-move",
      "idea": "Let the later-print alpha scale with the implied move: alpha=clamp(a0+a1*|pImplied/pHat-1|/sigmaHat, lo, hi) for !firstInStep prints inside the gate. Grid a0, a1, hi.",
      "kind": "deepen"
     }
    }
   ],
   "output": {
    "format": "json",
    "maxBytes": 64000
   }
  },
  {
   "name": "r4-d3",
   "brief": "R4 {{kind}} {{key}}: one delta on the best NP, paired. Clone github.com/benedictbrady/amm-challenge at 6b6921f8d463314aa7c96234e1be25a25245f704 into your workspace (never /tmp); save this as scratch/setup.sh, run `sh scratch/setup.sh` once from the checkout root, prefix later commands with `. scratch/env.sh && `:\nset -eu;R=$PWD/scratch;mkdir -p $R/tmp $R/bin $R/solcx\necho \"export TMPDIR=$R/tmp UV_CACHE_DIR=$R/uvc UV_PYTHON_INSTALL_DIR=$R/uvpy RUSTUP_HOME=$R/rustup CARGO_HOME=$R/cargo SOLCX_BINARY_PATH=$R/solcx VIRTUAL_ENV=$PWD/.venv PATH=$PWD/.venv/bin:$R/bin:$R/cargo/bin:\\$PATH\" >$R/env.sh;. $R/env.sh\n[ \"$(uname -sm)\" = \"Linux x86_64\" ]||{ echo BLOCKED platform;exit 3;}\ncommand -v uv >/dev/null||{ curl -LsSf https://github.com/astral-sh/uv/releases/latest/download/uv-x86_64-unknown-linux-gnu.tar.gz|tar -xz -C $R/tmp;cp $R/tmp/uv-*/uv $R/bin/;}\ncommand -v cc >/dev/null||{ curl -Ls https://micro.mamba.pm/api/micromamba/linux-64/latest|tar -xj -C $R bin/micromamba;MAMBA_ROOT_PREFIX=$R/mamba $R/bin/micromamba create -yq -p $R/cenv -c conda-forge gcc;ln -sf $(ls $R/cenv/bin/*gcc|head -n1) $R/bin/cc;}\ncommand -v cargo >/dev/null||{ curl -sSf https://sh.rustup.rs|sh -s -- -y --profile minimal --no-modify-path;}\nuv venv --python 3.12 .venv;uv pip install -e . maturin\nmaturin develop --release --uv --manifest-path amm_sim_rs/Cargo.toml\namm-match validate contracts/src/StarterStrategy.sol\nIf it prints BLOCKED or fails, return blocked={step,error} with every n 0. BASE: CH = https://raw.githubusercontent.com/ChengHua926/amm-challenge/d34a5199c59a4c44d5336a25f1436b4ae1f21104/contracts/src/Strategy.sol. NP = CH plus, right before `uint256 tradeRatio`: `if(!firstInStep&&feeUsed>30*BPS&&gamma>0){uint256 nS=trade.isBuy?wdiv(wmul(spot,gamma),WAD-30*BPS):wdiv(wmul(spot,WAD-30*BPS),gamma);pHat=wmul(pHat,9*WAD/10)+wmul(nS,WAD/10);}` (nS = the 30 bps pool's implied spot). Reproduce first on seeds 0..999: CH 525.525882178, NP 526.0337302497852. IDEA: {{idea}} Pair via amm_sim_rs.run_batch with MatchRunner._build_configs's draws (default_rng(seed): size, rate, sigma; price seed=seed, retail seed+1); diff per seed = candidate-NP; se=sd/sqrt(n). Tune ONLY on 30000..39999, >=2000 seeds per cell; freeze one candidate; measure it ONCE vs NP on fresh 800000..801999 (n 2000, chunks of 500, report n covered); score on 0..999; never 900000..909999. Keep `contract Strategy is AMMStrategyBase`, the two imports, slots 0..31, 250000 gas, no loops; validate must pass. RESULT JSON: approach, tried[{variant,seeds,n,mean_diff,se}], next, code, code_sha256, delta (edits from NP), score{seed_start,n,mean_edge,se}, paired{reference,seed_start,n,mean_diff,se,worst 5 seeds+diffs}, seconds_per_simulation, validate_ok, blocked, citations.",
   "items": [
    {
     "key": "np-attract",
     "vars": {
      "key": "np-attract",
      "idea": "Let nS set the attract side: if nS > pHat the normalizer prices X higher, so retail buys route to us more; protect the ask and cut the bid (and vice versa) by a coefficient times |nS/pHat-1|, capped; a variant uses the sign only. Grid.",
      "kind": "deepen"
     }
    },
    {
     "key": "np-silence",
     "vars": {
      "key": "np-silence",
      "idea": "Silence clamp: at a new step after k silent steps p stayed inside the last quoted band [spot*(1-bid), spot/(1-ask)], so clamp pHat into it (optionally shrunk by c*sigmaHat*sqrt(k)) before the update, or pull pHat toward the band centre by a fraction. Grid.",
      "kind": "deepen"
     }
    },
    {
     "key": "np-arbreset",
     "vars": {
      "key": "np-arbreset",
      "idea": "Mild arb reset: call a first-in-step print an arbitrage when |pImplied/pHat-1| exceeds feeUsed minus a margin (grid 0..10 bps) and spot moved toward pImplied; for those prints only use alpha a (grid 0.4..1.0) instead of 0.27; all else as NP.",
      "kind": "deepen"
     }
    },
    {
     "key": "np-clip",
     "vars": {
      "key": "np-clip",
      "idea": "Clipped-split signal: from nS and our print compute the normalizer's share of the order; share ~0 means the whole order came to us, so our fee there was too low: raise it by a coefficient times the shortfall for the rest of the step (one slot); skip the blend there.",
      "kind": "deepen"
     }
    }
   ],
   "output": {
    "format": "json",
    "maxBytes": 64000
   }
  },
  {
   "name": "r4-f1",
   "brief": "R4 {{kind}} {{key}}: one delta on the best NP, paired. Clone github.com/benedictbrady/amm-challenge at 6b6921f8d463314aa7c96234e1be25a25245f704 into your workspace (never /tmp); save this as scratch/setup.sh, run `sh scratch/setup.sh` once from the checkout root, prefix later commands with `. scratch/env.sh && `:\nset -eu;R=$PWD/scratch;mkdir -p $R/tmp $R/bin $R/solcx\necho \"export TMPDIR=$R/tmp UV_CACHE_DIR=$R/uvc UV_PYTHON_INSTALL_DIR=$R/uvpy RUSTUP_HOME=$R/rustup CARGO_HOME=$R/cargo SOLCX_BINARY_PATH=$R/solcx VIRTUAL_ENV=$PWD/.venv PATH=$PWD/.venv/bin:$R/bin:$R/cargo/bin:\\$PATH\" >$R/env.sh;. $R/env.sh\n[ \"$(uname -sm)\" = \"Linux x86_64\" ]||{ echo BLOCKED platform;exit 3;}\ncommand -v uv >/dev/null||{ curl -LsSf https://github.com/astral-sh/uv/releases/latest/download/uv-x86_64-unknown-linux-gnu.tar.gz|tar -xz -C $R/tmp;cp $R/tmp/uv-*/uv $R/bin/;}\ncommand -v cc >/dev/null||{ curl -Ls https://micro.mamba.pm/api/micromamba/linux-64/latest|tar -xj -C $R bin/micromamba;MAMBA_ROOT_PREFIX=$R/mamba $R/bin/micromamba create -yq -p $R/cenv -c conda-forge gcc;ln -sf $(ls $R/cenv/bin/*gcc|head -n1) $R/bin/cc;}\ncommand -v cargo >/dev/null||{ curl -sSf https://sh.rustup.rs|sh -s -- -y --profile minimal --no-modify-path;}\nuv venv --python 3.12 .venv;uv pip install -e . maturin\nmaturin develop --release --uv --manifest-path amm_sim_rs/Cargo.toml\namm-match validate contracts/src/StarterStrategy.sol\nIf it prints BLOCKED or fails, return blocked={step,error} with every n 0. BASE: CH = https://raw.githubusercontent.com/ChengHua926/amm-challenge/d34a5199c59a4c44d5336a25f1436b4ae1f21104/contracts/src/Strategy.sol. NP = CH plus, right before `uint256 tradeRatio`: `if(!firstInStep&&feeUsed>30*BPS&&gamma>0){uint256 nS=trade.isBuy?wdiv(wmul(spot,gamma),WAD-30*BPS):wdiv(wmul(spot,WAD-30*BPS),gamma);pHat=wmul(pHat,9*WAD/10)+wmul(nS,WAD/10);}` (nS = the 30 bps pool's implied spot). Reproduce first on seeds 0..999: CH 525.525882178, NP 526.0337302497852. IDEA: {{idea}} Pair via amm_sim_rs.run_batch with MatchRunner._build_configs's draws (default_rng(seed): size, rate, sigma; price seed=seed, retail seed+1); diff per seed = candidate-NP; se=sd/sqrt(n). Tune ONLY on 30000..39999, >=2000 seeds per cell; freeze one candidate; measure it ONCE vs NP on fresh 800000..801999 (n 2000, chunks of 500, report n covered); score on 0..999; never 900000..909999. Keep `contract Strategy is AMMStrategyBase`, the two imports, slots 0..31, 250000 gas, no loops; validate must pass. RESULT JSON: approach, tried[{variant,seeds,n,mean_diff,se}], next, code, code_sha256, delta (edits from NP), score{seed_start,n,mean_edge,se}, paired{reference,seed_start,n,mean_diff,se,worst 5 seeds+diffs}, seconds_per_simulation, validate_ok, blocked, citations.",
   "items": [
    {
     "key": "fill-rate",
     "vars": {
      "key": "fill-rate",
      "idea": "Retail-absence evidence: our fill count per step against lambdaHat tells whether we win flow. Keep a share EMA (prints per step relative to the expected rate, one slot); lower fMid when the share is low, raise it when high, by a coefficient. Grid it and the decay.",
      "kind": "fresh"
     }
    },
    {
     "key": "side-asym",
     "vars": {
      "key": "side-asym",
      "idea": "Bid/ask-specific stale constants: a retail sell is a fixed X input and a buy a fixed Y input, so the router splits the sides differently when p != spot. Give STALE_ATTRACT_FRAC, STALE_DIR_COEF and the tail slopes separate bid and ask values; grid around CH's.",
      "kind": "fresh"
     }
    },
    {
     "key": "exact-stale",
     "vars": {
      "key": "exact-stale",
      "idea": "Replace the linear stale shift on the exposed side with the exact displacement: after a print leaves spot off pHat by g=|spot/pHat-1|, set the fee on the side the arbitrageur would hit to max(fee, g+m), m a margin (grid 0..15 bps), the other side as CH.",
      "kind": "fresh"
     }
    },
    {
     "key": "uncensor",
     "vars": {
      "key": "uncensor",
      "idea": "Router-censored flow inference: from nS and our print compute the normalizer's share of the order, hence the whole retail order size and the uncensored arrival count; feed those into sizeHat and lambdaHat; retune FLOW_SIZE_COEF and LAMBDA_COEF.",
      "kind": "fresh"
     }
    },
    {
     "key": "regress",
     "vars": {
      "key": "regress",
      "idea": "Where does NP lose? On seeds 30000..31999 run NP vs CH and NP vs YQ (jiayaoqijia/amm-challenge-yq 3e9dc7d5, contracts/src/Strategy.sol), join per-seed diffs to each seed's sigma, rate and size, report the 20 worst seeds and a regression, then build one guard from it.",
      "kind": "fresh"
     }
    }
   ],
   "output": {
    "format": "json",
    "maxBytes": 64000
   }
  },
  {
   "name": "r4-f2",
   "brief": "R4 {{kind}} {{key}}: one delta on the best NP, paired. Clone github.com/benedictbrady/amm-challenge at 6b6921f8d463314aa7c96234e1be25a25245f704 into your workspace (never /tmp); save this as scratch/setup.sh, run `sh scratch/setup.sh` once from the checkout root, prefix later commands with `. scratch/env.sh && `:\nset -eu;R=$PWD/scratch;mkdir -p $R/tmp $R/bin $R/solcx\necho \"export TMPDIR=$R/tmp UV_CACHE_DIR=$R/uvc UV_PYTHON_INSTALL_DIR=$R/uvpy RUSTUP_HOME=$R/rustup CARGO_HOME=$R/cargo SOLCX_BINARY_PATH=$R/solcx VIRTUAL_ENV=$PWD/.venv PATH=$PWD/.venv/bin:$R/bin:$R/cargo/bin:\\$PATH\" >$R/env.sh;. $R/env.sh\n[ \"$(uname -sm)\" = \"Linux x86_64\" ]||{ echo BLOCKED platform;exit 3;}\ncommand -v uv >/dev/null||{ curl -LsSf https://github.com/astral-sh/uv/releases/latest/download/uv-x86_64-unknown-linux-gnu.tar.gz|tar -xz -C $R/tmp;cp $R/tmp/uv-*/uv $R/bin/;}\ncommand -v cc >/dev/null||{ curl -Ls https://micro.mamba.pm/api/micromamba/linux-64/latest|tar -xj -C $R bin/micromamba;MAMBA_ROOT_PREFIX=$R/mamba $R/bin/micromamba create -yq -p $R/cenv -c conda-forge gcc;ln -sf $(ls $R/cenv/bin/*gcc|head -n1) $R/bin/cc;}\ncommand -v cargo >/dev/null||{ curl -sSf https://sh.rustup.rs|sh -s -- -y --profile minimal --no-modify-path;}\nuv venv --python 3.12 .venv;uv pip install -e . maturin\nmaturin develop --release --uv --manifest-path amm_sim_rs/Cargo.toml\namm-match validate contracts/src/StarterStrategy.sol\nIf it prints BLOCKED or fails, return blocked={step,error} with every n 0. BASE: CH = https://raw.githubusercontent.com/ChengHua926/amm-challenge/d34a5199c59a4c44d5336a25f1436b4ae1f21104/contracts/src/Strategy.sol. NP = CH plus, right before `uint256 tradeRatio`: `if(!firstInStep&&feeUsed>30*BPS&&gamma>0){uint256 nS=trade.isBuy?wdiv(wmul(spot,gamma),WAD-30*BPS):wdiv(wmul(spot,WAD-30*BPS),gamma);pHat=wmul(pHat,9*WAD/10)+wmul(nS,WAD/10);}` (nS = the 30 bps pool's implied spot). Reproduce first on seeds 0..999: CH 525.525882178, NP 526.0337302497852. IDEA: {{idea}} Pair via amm_sim_rs.run_batch with MatchRunner._build_configs's draws (default_rng(seed): size, rate, sigma; price seed=seed, retail seed+1); diff per seed = candidate-NP; se=sd/sqrt(n). Tune ONLY on 30000..39999, >=2000 seeds per cell; freeze one candidate; measure it ONCE vs NP on fresh 800000..801999 (n 2000, chunks of 500, report n covered); score on 0..999; never 900000..909999. Keep `contract Strategy is AMMStrategyBase`, the two imports, slots 0..31, 250000 gas, no loops; validate must pass. RESULT JSON: approach, tried[{variant,seeds,n,mean_diff,se}], next, code, code_sha256, delta (edits from NP), score{seed_start,n,mean_edge,se}, paired{reference,seed_start,n,mean_diff,se,worst 5 seeds+diffs}, seconds_per_simulation, validate_ok, blocked, citations.",
   "items": [
    {
     "key": "th-killed",
     "vars": {
      "key": "th-killed",
      "idea": "Killed-kernel relaxation: in silence the fair price's posterior drifts toward the last band's centre as exp(-3*pi^2*sigma^2*k/(2W^2)) (W = band width); at the first print after k silent steps move pHat toward that centre by 1-exp(-c*k*sigmaHat^2/W^2). Grid c.",
      "kind": "fresh"
     }
    },
    {
     "key": "edge-base",
     "vars": {
      "key": "edge-base",
      "idea": "Closed-form base fee: replace fBase (BASE+SIGMA+LAMBDA+FLOW) with the expected-edge maximiser from the router share formula (our share of an order vs our fee against 30 bps, minus an arb loss scaled by sigmaHat) over a fixed 12-fee grid; keep tox, stale, dir layers.",
      "kind": "fresh"
     }
    },
    {
     "key": "warmup",
     "vars": {
      "key": "warmup",
      "idea": "Warm-up: for the first N callbacks (grid N 5..80) quote a fixed pair (grid 30..60 bps) or hold the estimators' alphas higher so sigma, lambda and size settle before they drive fees; also test initialising lambdaHat and sizeHat at the parameter midpoints.",
      "kind": "fresh"
     }
    },
    {
     "key": "recenter",
     "vars": {
      "key": "recenter",
      "idea": "Geometric recentring: instead of CH's additive stale shift, choose bid and ask so that spot*(1-bid) and spot/(1-ask) sit at pHat*(1-h) and pHat*(1+h) with h from fMid (floor 0, cap 10%), then add CH's skew and tail. Grid an h multiplier.",
      "kind": "fresh"
     }
    },
    {
     "key": "phase2",
     "vars": {
      "key": "phase2",
      "idea": "After the first print in a step the remaining prints of that step carry no arbitrage risk until the step ends: cut both fees by a fraction f (grid 0.05..0.3) on !firstInStep callbacks and restore the quote at the next new step. An r2 try lost at n=30 only.",
      "kind": "fresh"
     }
    }
   ],
   "output": {
    "format": "json",
    "maxBytes": 64000
   }
  },
  {
   "name": "r4-s1",
   "brief": "R4 {{kind}} {{key}}: one delta on the best NP, paired. Clone github.com/benedictbrady/amm-challenge at 6b6921f8d463314aa7c96234e1be25a25245f704 into your workspace (never /tmp); save this as scratch/setup.sh, run `sh scratch/setup.sh` once from the checkout root, prefix later commands with `. scratch/env.sh && `:\nset -eu;R=$PWD/scratch;mkdir -p $R/tmp $R/bin $R/solcx\necho \"export TMPDIR=$R/tmp UV_CACHE_DIR=$R/uvc UV_PYTHON_INSTALL_DIR=$R/uvpy RUSTUP_HOME=$R/rustup CARGO_HOME=$R/cargo SOLCX_BINARY_PATH=$R/solcx VIRTUAL_ENV=$PWD/.venv PATH=$PWD/.venv/bin:$R/bin:$R/cargo/bin:\\$PATH\" >$R/env.sh;. $R/env.sh\n[ \"$(uname -sm)\" = \"Linux x86_64\" ]||{ echo BLOCKED platform;exit 3;}\ncommand -v uv >/dev/null||{ curl -LsSf https://github.com/astral-sh/uv/releases/latest/download/uv-x86_64-unknown-linux-gnu.tar.gz|tar -xz -C $R/tmp;cp $R/tmp/uv-*/uv $R/bin/;}\ncommand -v cc >/dev/null||{ curl -Ls https://micro.mamba.pm/api/micromamba/linux-64/latest|tar -xj -C $R bin/micromamba;MAMBA_ROOT_PREFIX=$R/mamba $R/bin/micromamba create -yq -p $R/cenv -c conda-forge gcc;ln -sf $(ls $R/cenv/bin/*gcc|head -n1) $R/bin/cc;}\ncommand -v cargo >/dev/null||{ curl -sSf https://sh.rustup.rs|sh -s -- -y --profile minimal --no-modify-path;}\nuv venv --python 3.12 .venv;uv pip install -e . maturin\nmaturin develop --release --uv --manifest-path amm_sim_rs/Cargo.toml\namm-match validate contracts/src/StarterStrategy.sol\nIf it prints BLOCKED or fails, return blocked={step,error} with every n 0. BASE: CH = https://raw.githubusercontent.com/ChengHua926/amm-challenge/d34a5199c59a4c44d5336a25f1436b4ae1f21104/contracts/src/Strategy.sol. NP = CH plus, right before `uint256 tradeRatio`: `if(!firstInStep&&feeUsed>30*BPS&&gamma>0){uint256 nS=trade.isBuy?wdiv(wmul(spot,gamma),WAD-30*BPS):wdiv(wmul(spot,WAD-30*BPS),gamma);pHat=wmul(pHat,9*WAD/10)+wmul(nS,WAD/10);}` (nS = the 30 bps pool's implied spot). Reproduce first on seeds 0..999: CH 525.525882178, NP 526.0337302497852. IDEA: {{idea}} Pair via amm_sim_rs.run_batch with MatchRunner._build_configs's draws (default_rng(seed): size, rate, sigma; price seed=seed, retail seed+1); diff per seed = candidate-NP; se=sd/sqrt(n). Tune ONLY on 30000..39999, >=2000 seeds per cell; freeze one candidate; measure it ONCE vs NP on fresh 800000..801999 (n 2000, chunks of 500, report n covered); score on 0..999; never 900000..909999. Keep `contract Strategy is AMMStrategyBase`, the two imports, slots 0..31, 250000 gas, no loops; validate must pass. RESULT JSON: approach, tried[{variant,seeds,n,mean_diff,se}], next, code, code_sha256, delta (edits from NP), score{seed_start,n,mean_edge,se}, paired{reference,seed_start,n,mean_diff,se,worst 5 seeds+diffs}, seconds_per_simulation, validate_ok, blocked, citations.",
   "items": [
    {
     "key": "strip",
     "vars": {
      "key": "strip",
      "idea": "Simplify NP: delete SIGMA_TOX_COEF and its term (free on CH: +0.0014 se 0.0014) and the dir skew (DIR_COEF, DIR_TOX_COEF; -0.01 se 0.008 on CH), then retune STALE_DIR_COEF on a 5-point grid; deliver the simplest file within 0.02 of NP, else NP minus sigma*tox.",
      "kind": "simplify"
     }
    },
    {
     "key": "lite9",
     "vars": {
      "key": "lite9",
      "idea": "Cumulative simplification of NP (r3-s1/lite9 never ran: arm64): remove in order dir skew, tail compression, sigma*tox, TOX_QUAD, trade boost; keep each removal only if it costs < 0.05 on >=2000 tuning seeds and the total < 0.1; report slot and constant counts.",
      "kind": "simplify"
     }
    },
    {
     "key": "tail-one",
     "vars": {
      "key": "tail-one",
      "idea": "Single tail slope: replace TAIL_SLOPE_PROTECT 0.93, TAIL_SLOPE_ATTRACT 0.85 and TAIL_KNEE 600 bps by one slope and one knee retuned on a 4x4 grid (removing compression costs 0.33 se 0.11 on CH; a shared 0.89 lost, so tune the knee too).",
      "kind": "simplify"
     }
    }
   ],
   "output": {
    "format": "json",
    "maxBytes": 64000
   }
  },
  {
   "name": "r4-m1",
   "brief": "R4 measure {{key}}: measurement only, no new strategy, no tuning. Clone github.com/benedictbrady/amm-challenge at 6b6921f8d463314aa7c96234e1be25a25245f704 into your workspace (never /tmp); save this as scratch/setup.sh, run `sh scratch/setup.sh` once from the checkout root, prefix later commands with `. scratch/env.sh && `:\nset -eu;R=$PWD/scratch;mkdir -p $R/tmp $R/bin $R/solcx\necho \"export TMPDIR=$R/tmp UV_CACHE_DIR=$R/uvc UV_PYTHON_INSTALL_DIR=$R/uvpy RUSTUP_HOME=$R/rustup CARGO_HOME=$R/cargo SOLCX_BINARY_PATH=$R/solcx VIRTUAL_ENV=$PWD/.venv PATH=$PWD/.venv/bin:$R/bin:$R/cargo/bin:\\$PATH\" >$R/env.sh;. $R/env.sh\n[ \"$(uname -sm)\" = \"Linux x86_64\" ]||{ echo BLOCKED platform;exit 3;}\ncommand -v uv >/dev/null||{ curl -LsSf https://github.com/astral-sh/uv/releases/latest/download/uv-x86_64-unknown-linux-gnu.tar.gz|tar -xz -C $R/tmp;cp $R/tmp/uv-*/uv $R/bin/;}\ncommand -v cc >/dev/null||{ curl -Ls https://micro.mamba.pm/api/micromamba/linux-64/latest|tar -xj -C $R bin/micromamba;MAMBA_ROOT_PREFIX=$R/mamba $R/bin/micromamba create -yq -p $R/cenv -c conda-forge gcc;ln -sf $(ls $R/cenv/bin/*gcc|head -n1) $R/bin/cc;}\ncommand -v cargo >/dev/null||{ curl -sSf https://sh.rustup.rs|sh -s -- -y --profile minimal --no-modify-path;}\nuv venv --python 3.12 .venv;uv pip install -e . maturin\nmaturin develop --release --uv --manifest-path amm_sim_rs/Cargo.toml\namm-match validate contracts/src/StarterStrategy.sol\nIf it prints BLOCKED or fails, return blocked={step,error} with every n 0. BASE: CH = https://raw.githubusercontent.com/ChengHua926/amm-challenge/d34a5199c59a4c44d5336a25f1436b4ae1f21104/contracts/src/Strategy.sol. NP = CH plus, right before `uint256 tradeRatio`: `if(!firstInStep&&feeUsed>30*BPS&&gamma>0){uint256 nS=trade.isBuy?wdiv(wmul(spot,gamma),WAD-30*BPS):wdiv(wmul(spot,WAD-30*BPS),gamma);pHat=wmul(pHat,9*WAD/10)+wmul(nS,WAD/10);}` (nS = the 30 bps pool's implied spot). Reproduce first on seeds 0..999: CH 525.525882178, NP 526.0337302497852. TASK: {{task}} Pair via amm_sim_rs.run_batch with MatchRunner._build_configs's draws (default_rng(seed): size, rate, sigma; price seed=seed, retail seed+1); diff per seed = candidate-NP; se=sd/sqrt(n). RESULT JSON: approach, results (per comparison or set: label, seed_start, n, mean or mean_diff, se, worst 5 seeds+diffs where paired, first 5 per-seed values to 6 decimals), code (the NP file run), code_sha256, seconds_per_simulation, validate_ok, blocked, citations.",
   "items": [
    {
     "key": "replicate",
     "vars": {
      "key": "replicate",
      "task": "Rebuild NP, confirm 526.0337302497852 on 0..999 (report your sha256; whitespace may differ from f1ea5b95), then on fresh seeds 800000..801999 (n 2000, chunks of 500) measure paired NP vs CH, NP vs YQ (https://raw.githubusercontent.com/jiayaoqijia/amm-challenge-yq/3e9dc7d5a6192c88b562a0f8d9c172ca566ec94d/contracts/src/Strategy.sol, sha 00fae418) and NP vs contracts/src/StarterStrategy.sol, each {n, mean_diff, se, worst 5}; also NP's max afterSwap gas by bisecting the gas limit in pyrevm, and the slots it uses."
     }
    },
    {
     "key": "calib-a",
     "vars": {
      "key": "calib-a",
      "task": "CALIBRATION, report only: score NP on seeds 900000..904999 (5000 sims) through run_batch with explicit seeds in chunks of 500 under a 40-minute cap; report n covered, mean_edge, se (sd/sqrt(n)), the first 5 per-seed edges to 6 decimals, and the sum and sum of squares of the per-seed edges so the two halves can be pooled."
     }
    },
    {
     "key": "calib-b",
     "vars": {
      "key": "calib-b",
      "task": "CALIBRATION, report only: score NP on seeds 905000..909999 (5000 sims) through run_batch with explicit seeds in chunks of 500 under a 40-minute cap; report n covered, mean_edge, se (sd/sqrt(n)), the first 5 per-seed edges to 6 decimals, and the sum and sum of squares of the per-seed edges so the two halves can be pooled."
     }
    }
   ],
   "output": {
    "format": "json",
    "maxBytes": 64000
   }
  },
  {
   "name": "r4-trunk",
   "mode": "code",
   "brief": "Promotion 3 into the trunk (code wave; change only best/**). Clone github.com/benedictbrady/amm-challenge at 6b6921f8d463314aa7c96234e1be25a25245f704 into your workspace (never /tmp); save this as scratch/setup.sh, run `sh scratch/setup.sh` once from the checkout root, prefix later commands with `. scratch/env.sh && `:\nset -eu;R=$PWD/scratch;mkdir -p $R/tmp $R/bin $R/solcx\necho \"export TMPDIR=$R/tmp UV_CACHE_DIR=$R/uvc UV_PYTHON_INSTALL_DIR=$R/uvpy RUSTUP_HOME=$R/rustup CARGO_HOME=$R/cargo SOLCX_BINARY_PATH=$R/solcx VIRTUAL_ENV=$PWD/.venv PATH=$PWD/.venv/bin:$R/bin:$R/cargo/bin:\\$PATH\" >$R/env.sh;. $R/env.sh\n[ \"$(uname -sm)\" = \"Linux x86_64\" ]||{ echo BLOCKED platform;exit 3;}\ncommand -v uv >/dev/null||{ curl -LsSf https://github.com/astral-sh/uv/releases/latest/download/uv-x86_64-unknown-linux-gnu.tar.gz|tar -xz -C $R/tmp;cp $R/tmp/uv-*/uv $R/bin/;}\ncommand -v cc >/dev/null||{ curl -Ls https://micro.mamba.pm/api/micromamba/linux-64/latest|tar -xj -C $R bin/micromamba;MAMBA_ROOT_PREFIX=$R/mamba $R/bin/micromamba create -yq -p $R/cenv -c conda-forge gcc;ln -sf $(ls $R/cenv/bin/*gcc|head -n1) $R/bin/cc;}\ncommand -v cargo >/dev/null||{ curl -sSf https://sh.rustup.rs|sh -s -- -y --profile minimal --no-modify-path;}\nuv venv --python 3.12 .venv;uv pip install -e . maturin\nmaturin develop --release --uv --manifest-path amm_sim_rs/Cargo.toml\namm-match validate contracts/src/StarterStrategy.sol\nIf it prints BLOCKED or fails, return blocked={step,error} with every n 0. BASE: CH = https://raw.githubusercontent.com/ChengHua926/amm-challenge/d34a5199c59a4c44d5336a25f1436b4ae1f21104/contracts/src/Strategy.sol. NP = CH plus, right before `uint256 tradeRatio`: `if(!firstInStep&&feeUsed>30*BPS&&gamma>0){uint256 nS=trade.isBuy?wdiv(wmul(spot,gamma),WAD-30*BPS):wdiv(wmul(spot,WAD-30*BPS),gamma);pHat=wmul(pHat,9*WAD/10)+wmul(nS,WAD/10);}` (nS = the 30 bps pool's implied spot). Reproduce first on seeds 0..999: CH 525.525882178, NP 526.0337302497852. TASK: write best/Strategy.sol = NP (rebuilt from CH plus the block, validated, 526.0337302497852 on 0..999 confirmed, sha256 recorded) and append to best/SCOREBOARD.md (create if missing) a Promotions table: 1 YQ (https://raw.githubusercontent.com/jiayaoqijia/amm-challenge-yq/3e9dc7d5a6192c88b562a0f8d9c172ca566ec94d/contracts/src/Strategy.sol, sha 00fae418) +154.69 se 0.95 vs StarterStrategy on 100000..101999; 2 CH +0.962 se 0.021 vs YQ on 400000..401999, 0..999 525.525882178; 3 NP +0.4645 se 0.0159 vs CH on 600000..601999, 0..999 526.0337302497852; and 'Round 3 vs CH on 600000..601999': norm-phat +0.464 se 0.016; two-print +0.248 se 0.013; ablate (minus sigma*tox) +0.0014 se 0.0014; gate-grid (mult 5) -0.014 se 0.015; kalman-gate -0.211 se 0.015; lite9 blocked (arm64). Touch no other path. RESULT JSON: commands run with pass/fail and failing output; sha256 of best/Strategy.sol; score on 0..999.",
   "output": {
    "format": "json",
    "maxBytes": 16000
   },
   "items": [
    {
     "key": "promote-np",
     "vars": {},
     "scope": [
      "best/**"
     ]
    }
   ]
  }
 ],
 "read": [
  "r3-m1/ch-calib",
  "r3-m1/ch-replicate",
  "r3-m1/ch-repo-scan",
  "r3-m1/pub-scan",
  "r3-d2/tune-base",
  "r3-d2/tune-tox",
  "r3-d2/tune-stale",
  "r3-d2/tune-est",
  "r3-d2/cma-residual",
  "r3-d3/timing-terms",
  "r3-d3/sigma-elapsed",
  "r3-d3/fees-used",
  "r3-d3/combo-a",
  "r3-d1/decay-cap",
  "r3-d1/alpha-grid",
  "r3-d1/highfee",
  "r3-f1/post-arb-pair",
  "r3-f2/th-pia",
  "r4-m1/replicate",
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