{
  "notes": "EPISODE 5 (2026-11-07). STATE: r1 code wave still running (3 accepted, 10 running, NO trunk). Round 2 = 27 research items (r2-deep-a/-b, r2-fresh-a/-b, r2-simplify, r2-measure): 21 still running; the 6 handed (tune-asym, tune-tox, norm-spot, yq-lite, linear-stale, freeze-est) ALL came back `blocked` at the toolchain gate (no pip/ensurepip, no rustc/cargo/maturin) with score.n 0: not done, not a failure of the ideas. The requester (03:08Z) gave a recipe that works inside the checkout (uv + rustup under scratch/) and asked for the six to be rerun with it. Nothing refused. No promotion: round 2 has no measured result yet. BEST = YQ.\n\nDECIDED (11 items, 62 of 600 used): r2b-a (tune-asym, tune-tox, norm-spot) and r2b-b (yq-lite, linear-stale, freeze-est) rerun the six blocked ideas with the recipe in the brief (block only when a recipe step itself fails, naming the step). th-a: 4 fresh theory-derived items, none overlapping a running r2 idea: th-killed (killed-kernel relaxation of pHat in silence instead of YQ's additive decay), th-pia (likelihood-ratio arb probability replacing YQ's shock gate), th-local (standalone per-side local expected-edge maximiser with adverse-selection term on a fixed 12-fee grid), th-pair (standalone 8-slot policy: post-arb pair 59/16 oriented by arb direction, exponential relaxation to 26/26). m5-map/board-map: web-only item on the local-vs-board mapping (OPEN QUESTION below). Build items tune on 0..99999 only, confirm ONCE paired vs YQ on the EPISODE-5 FRESH BLOCK 500000..501999 (n 2000), score on 0..999, return code, code_sha256 and delta. Wake: all r2 and new batches settle, or 240 min.\n\nSCOREBOARD (paired, n 2000 unless said):\n- BEST (promotion 1, ep4): YQ = github.com/jiayaoqijia/amm-challenge-yq commit 3e9dc7d5a6192c88b562a0f8d9c172ca566ec94d contracts/src/Strategy.sol, sha256 00fae418c49cd681ad0879c6f96ebed0163fab5a660b38030f11e6947a39afd4. vs StarterStrategy on 100000..101999: +154.69 se 0.95 (worst +74.78, seed 101573). Score 0..999 = 524.6271111458843 (se 2.78); 100000..101999 = 524.1942870525012. Calibration 900000..909999: pending (r2-measure/yq-calib).\n- r1/static-grid: best fixed pair 75/75 (sha 5837798b91013de606cce87771bc2f4d40d0ae43b7b75aeab9c7a55e2e18670c) vs starter on 100000..101999 +10.61 se 0.16; score 0..999 = 380.14; 80/80 +10.50 se 0.18; 75 vs 80 +0.106 se 0.026. Vanilla 30 bps 0..999 = 343.60. Starter 100000..101999 = 369.50 (sha 8f2cea337f6736105f58c6758da6c3ebf002951d34492bcd5b7101bef2d1e7f3). Implied YQ over fixed 75: about +144 (se ~1.0).\n- theory/fees: fixed 76 bps = 379.67 on 2000..3999, +10.87 se 0.16 vs starter; 76 vs 78 +0.0001 se 0.010 (broad 74-82 bps plateau driven by retail displacement, not sigma).\n- anchors2 (calibration set 900000..909999, n 10000): vanilla-a 342.26191722896806 se 0.5176 (first edges 293.814512, 256.411977, 386.585019); starter-a 367.91606344584477 se 0.5900 (first edges 313.044946, 267.440875, 410.867525). vanilla-b/starter-b still running: compare their first_edges to these digits; identical = runs are bit-reproducible across machines.\n- Unmeasured (n 0, rerun scheduled): the six r2b ideas; r1/vol-estimate (r2-fresh-b/vol-redo).\n- Public: dipankar WinningV5 -232.88 se 1.18 vs YQ; SigmaAdaptive -5.05 se 0.04. Public claims are unreliable.\n\nTHEORY TAKEAWAYS (theory/fees, for round-3 briefs): (1) invert the band with the fees USED for the trade, not the returned ones. (2) Immediate optimum after a bid arb at a 30 bps band: bid 58.6 / ask 16.2 bps; after n silent steps the local optimum relaxes 1:48/18, 2:42/20, 4:34/22, 8:28/25, 16:27/26, 32:26/26. (3) Silence is a KILLED kernel: posterior mean drifts to the old band's centre as exp(-3 pi^2 sigma^2 n/(2 W^2)), variance saturates at W^2(1/4-2/pi^2); the first silent step moves p inward ~7.6 bps. (4) Local objective per side J = (lambda/2) E[q d + q^2/B] - (B/4) H(d,w), H = (w^2+d^2)Phi(-d/w) - d w phi(d/w), q = clip(Q/2 + B(c-d)/4, 0, Q). (5) A favourable-side fee below 30 bps pays (~16 bps after an arb), zero does not. (6) Fees cannot change during silence. (7) Not built anywhere: retail-absence evidence during silence; sell orders are fixed-X input so the bid-side router split differs from the ask-side when p != s.\n\nOPEN QUESTION (m5-map): locally vanilla 30 bps = 342 and YQ = 524.6, yet YQ's README claims 30 bps = 522.13 and YQ = 523.21 on the board. Both cannot be the same simulator: either the 522.13 claim is wrong or the board's config differs from the pinned default. Until resolved trust paired differences and the requester's calibration thresholds (525/527/528 on 900000..909999); the write-up must state this caveat.\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. Tune only on 0..99999; fresh block for episode e = e*100000..e*100000+1999 (ep4 400000.. used by r2; ep5 500000.. by r2b/th-a; ep6 = 600000..601999); promote only when paired mean_diff >= 2 se, n >= 2000, on the episode's fresh block vs the current best; calibration set 900000..909999 is report-only. 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. Never ask a worker about its machine (ep2 anchors refused); phrase the toolchain as 'run the recipe, block only if a step fails'. Brief <= 3000 chars filled: the r2b template is ~2500 + idea (<=450); a non-public best travels as 'YQ + delta' or its own raw URL + sha. Timing ~0.06-0.1 s/sim; 10000 sims ~20 min. r1 keeps running; the trunk is optional now that rounds run as research.\n\nNEXT EPISODE (6): 1) Read everything handed (r2 up to 21, r2b 6, th-a 4, m5-map). Drop any item with score.n or paired.n 0 (rerun its idea later; not a failure). Scoreboard per item: paired mean_diff and se vs YQ (r2 on 400000..401999; r2b/th-a on 500000..501999), code_sha256, score 0..999, delta. 2) Promote the largest mean_diff >= 2 se (PROMOTION 2); if several clear, round 3's first deepen item combines them in one file ('YQ + delta1 + delta2'), confirmed on 600000..601999. If none clears, round 2 counts as no promotion (stop rule: two rounds in a row). 3) yq-calib: record YQ's calibration mean + se (first best-file calibration number; say whether it reaches 525). yq-replicate: bit-identity check (524.6271111458843 on 0..999; 524.1942870525012 / 369.50130143736396 on 100000..101999); if not identical, every brief must say absolute scores differ across machines and only in-item paired numbers count. 4) Also request in read: r2-fresh-b/warmup, r2-measure/pub-shl0k28, anchors2/vanilla-b, anchors2/starter-b, r1x/* (edge-max, one-sided, arb-vol, param-lookup) and the r1 items (layout, example-tuned, fair-centered, band-state, interval-tracker, router-optimal, flow-estimate, inventory, size-toxicity, bandit): an r1 item beats YQ only if its diff vs starter on 100000..101999 exceeds 154.69 by 2*sqrt(se^2+0.95^2). 5) Spawn round 3 (40-50 items, batches of <=5, names r3-*): 40% deepen the new best (combine positive deltas; their `next` lines; theory takeaways as deltas on the best), 30% fresh (retail-absence evidence, sell-side split asymmetry, normalizer proxy if norm-spot is positive, offline-distilled policy, value-of-information quoting), 15% simplify, 15% measure (replicate the promoted gain by another worker on 600000..601999; calibration of the new best on 900000..909999, split 4 x 2500 seeds if one item cannot finish 10000 in 40 min). Same template as r2b. 6) Budget after this episode: 538 items, 5 episodes (6-10); rounds 3-5 at 40-60 items, final confirmation + calibration in ep9, finish by ep10 (write-up: best .sol, sha256, paired gain over starter and over previous best with se, ranked table of every promotion, citations: YQ repo, dipankar, elizabeth, Algebra medium post, HackMD note, Bruno I.).",
  "spawn": [
    {
      "name": "r2b-a",
      "mode": "research",
      "brief": "AMM fee challenge, round 2 rerun {{key}}: one idea, one complete Strategy.sol, measured paired vs the best. TOOLCHAIN (~15 min, inside the checkout, no system changes): clone github.com/benedictbrady/amm-challenge into an empty dir, check out 6b6921f8d463314aa7c96234e1be25a25245f704, cd in; export TMPDIR=$PWD/scratch/tmp; install uv (https://astral.sh/uv/install.sh, UV_INSTALL_DIR=$PWD/scratch/uv) and Rust (https://sh.rustup.rs, RUSTUP_HOME=$PWD/scratch/rustup CARGO_HOME=$PWD/scratch/cargo, -y --profile minimal), both bin dirs first on PATH; `uv venv; uv pip install -e . maturin; maturin develop --release --uv --manifest-path amm_sim_rs/Cargo.toml; amm-match validate contracts/src/StarterStrategy.sol`. If a step itself fails return at once: `blocked` = step + error, score.n 0, paired.n 0. BEST = YQ: https://raw.githubusercontent.com/jiayaoqijia/amm-challenge-yq/3e9dc7d5a6192c88b562a0f8d9c172ca566ec94d/contracts/src/Strategy.sol (sha256 00fae418c49cd681ad0879c6f96ebed0163fab5a660b38030f11e6947a39afd4); validate and read it. RULES: `contract Strategy is AMMStrategyBase`, imports only ./AMMStrategyBase.sol and ./IAMMStrategy.sol, slots 0..31, 250000 gas/call, no loops over history, fees in WAD <= 10%, passes `amm-match validate`. ENGINE per step: fair price p moves by GBM (sigma fixed per sim, U(0.000882,0.001008)); an arb trades each AMM if profitable, leaving spot at the band edge (we bought X: p = spot*(1-bidFee used); sold X: p = spot/(1-askFee used)); then Poisson(U(0.6,1.0)) lognormal retail orders (mean U(19,21), sigma 1.2) split by a router between us and a fixed 30 bps AMM. Only a timestamp's first trade can be an arb; silence between timestamps = p stayed inside our band. SEEDS: `amm-match run --simulations N` = seeds 0..N-1; other seeds via amm_sim_rs.run_batch with configs built as MatchRunner._build_configs(seed) (numpy default_rng(seed) draws mean size, rate, sigma; Rust price seed = seed, retail seed+1). Tune ONLY on 0..99999, paired vs YQ. Then measure the fixed final candidate ONCE paired vs YQ on 500000..501999 (n 2000) and score it on 0..999. IDEA: {{idea}} RESULT JSON: approach; tried [{params, seeds, n, mean_diff, se}]; next; code (full .sol); code_sha256; delta (edits from YQ <=1500 chars, or 'standalone'); score {seed_start 0, n, mean_edge, se}; paired {reference 'YQ 00fae418', seed_start 500000, n, mean_diff, se, worst: 5 lowest per-seed diffs with seeds}; seconds_per_simulation; validate_ok; blocked; citations. Only numbers from your own runs; a negative result is valid, a tuning number reported as paired is not.",
      "items": [
        {
          "key": "tune-asym",
          "vars": {
            "key": "tune-asym",
            "idea": "YQ + delta, deepen: tune only YQ's stale-price asymmetry block (directional skew after an arb, trade-aligned boost, their decay) by two coordinate-search passes over its constants (x0.5, x0.75, x1.25, x1.5 of each, then finer around the best), every variant paired vs YQ on 10000..10499 (n 500); keep the best pass-2 variant; list every variant in tried."
          }
        },
        {
          "key": "tune-tox",
          "vars": {
            "key": "tune-tox",
            "idea": "YQ + delta, deepen: tune only YQ's toxicity block (size widening incl. the cubic term, consecutive-direction term, tail cap, their decay) by two coordinate-search passes over its constants (x0.5, x0.75, x1.25, x1.5, then finer), every variant paired vs YQ on 10000..10499 (n 500); keep the best pass-2 variant; list every variant in tried."
          }
        },
        {
          "key": "norm-spot",
          "vars": {
            "key": "norm-spot",
            "idea": "Fresh, YQ + delta: track the 30 bps normalizer's spot: same initial k; after an arb we classify it sits at pHat/0.997 (bid arb) or pHat*0.997 (ask arb); retail moves it by the share the router gives it. From its marginal prices undercut it on the side where our quote is favourable vs pHat, only while the undercut still clears pHat by a margin; tune margin and clipping on 10000..10499."
          }
        }
      ],
      "output": {
        "format": "json",
        "maxBytes": 64000
      }
    },
    {
      "name": "r2b-b",
      "mode": "research",
      "brief": "AMM fee challenge, round 2 rerun {{key}}: one idea, one complete Strategy.sol, measured paired vs the best. TOOLCHAIN (~15 min, inside the checkout, no system changes): clone github.com/benedictbrady/amm-challenge into an empty dir, check out 6b6921f8d463314aa7c96234e1be25a25245f704, cd in; export TMPDIR=$PWD/scratch/tmp; install uv (https://astral.sh/uv/install.sh, UV_INSTALL_DIR=$PWD/scratch/uv) and Rust (https://sh.rustup.rs, RUSTUP_HOME=$PWD/scratch/rustup CARGO_HOME=$PWD/scratch/cargo, -y --profile minimal), both bin dirs first on PATH; `uv venv; uv pip install -e . maturin; maturin develop --release --uv --manifest-path amm_sim_rs/Cargo.toml; amm-match validate contracts/src/StarterStrategy.sol`. If a step itself fails return at once: `blocked` = step + error, score.n 0, paired.n 0. BEST = YQ: https://raw.githubusercontent.com/jiayaoqijia/amm-challenge-yq/3e9dc7d5a6192c88b562a0f8d9c172ca566ec94d/contracts/src/Strategy.sol (sha256 00fae418c49cd681ad0879c6f96ebed0163fab5a660b38030f11e6947a39afd4); validate and read it. RULES: `contract Strategy is AMMStrategyBase`, imports only ./AMMStrategyBase.sol and ./IAMMStrategy.sol, slots 0..31, 250000 gas/call, no loops over history, fees in WAD <= 10%, passes `amm-match validate`. ENGINE per step: fair price p moves by GBM (sigma fixed per sim, U(0.000882,0.001008)); an arb trades each AMM if profitable, leaving spot at the band edge (we bought X: p = spot*(1-bidFee used); sold X: p = spot/(1-askFee used)); then Poisson(U(0.6,1.0)) lognormal retail orders (mean U(19,21), sigma 1.2) split by a router between us and a fixed 30 bps AMM. Only a timestamp's first trade can be an arb; silence between timestamps = p stayed inside our band. SEEDS: `amm-match run --simulations N` = seeds 0..N-1; other seeds via amm_sim_rs.run_batch with configs built as MatchRunner._build_configs(seed) (numpy default_rng(seed) draws mean size, rate, sigma; Rust price seed = seed, retail seed+1). Tune ONLY on 0..99999, paired vs YQ. Then measure the fixed final candidate ONCE paired vs YQ on 500000..501999 (n 2000) and score it on 0..999. IDEA: {{idea}} RESULT JSON: approach; tried [{params, seeds, n, mean_diff, se}]; next; code (full .sol); code_sha256; delta (edits from YQ <=1500 chars, or 'standalone'); score {seed_start 0, n, mean_edge, se}; paired {reference 'YQ 00fae418', seed_start 500000, n, mean_diff, se, worst: 5 lowest per-seed diffs with seeds}; seconds_per_simulation; validate_ok; blocked; citations. Only numbers from your own runs; a negative result is valid, a tuning number reported as paired is not.",
      "items": [
        {
          "key": "yq-lite",
          "vars": {
            "key": "yq-lite",
            "idea": "Simplify: reimplement YQ's behaviour with at most 8 storage slots and 8 named constants, keeping only what matters (pHat from band inversion, stale directional asymmetry with decay, one toxicity term, base fee); measure the lite file paired vs YQ; report which dropped part cost most (one ablation each, n 500 on 10000..10499)."
          }
        },
        {
          "key": "linear-stale",
          "vars": {
            "key": "linear-stale",
            "idea": "Simplify: a 5-constant linear policy: m = ln(spot/pHat) (pHat = band inversion of the fees used, first print of a timestamp only), g = timestamps since the last callback; bid = c0 + c1*m - c2*g, ask = c0 - c1*m - c2*g, floor c3, cap c4 (bps); no toxicity or sigma/lambda/size estimates. Grid the constants on 10000..10499 (coarse then fine); report the top 5 in tried."
          }
        },
        {
          "key": "freeze-est",
          "vars": {
            "key": "freeze-est",
            "idea": "Simplify: freeze YQ's online estimators at the parameter midpoints (sigma 0.000945, lambda 0.8, mean size 20): sigmaHat frozen, lambdaHat frozen, sizeHat frozen, all three. Measure the four paired vs YQ on 10000..10499 (n 500); deliver the variant that is neutral or better with the fewest estimators (all three if neutral); report all four in tried."
          }
        }
      ],
      "output": {
        "format": "json",
        "maxBytes": 64000
      }
    },
    {
      "name": "th-a",
      "mode": "research",
      "brief": "AMM fee challenge, theory mechanism {{key}}: one idea, one Strategy.sol, measured paired vs the best. TOOLCHAIN (~15 min, inside the checkout, no system changes): clone github.com/benedictbrady/amm-challenge into an empty dir, check out 6b6921f8d463314aa7c96234e1be25a25245f704, cd in; export TMPDIR=$PWD/scratch/tmp; install uv (https://astral.sh/uv/install.sh, UV_INSTALL_DIR=$PWD/scratch/uv) and Rust (https://sh.rustup.rs, RUSTUP_HOME=$PWD/scratch/rustup CARGO_HOME=$PWD/scratch/cargo, -y --profile minimal), both bin dirs first on PATH; `uv venv; uv pip install -e . maturin; maturin develop --release --uv --manifest-path amm_sim_rs/Cargo.toml; amm-match validate contracts/src/StarterStrategy.sol`. If a step itself fails return at once: `blocked` = step + error, score.n 0, paired.n 0. BEST = YQ: https://raw.githubusercontent.com/jiayaoqijia/amm-challenge-yq/3e9dc7d5a6192c88b562a0f8d9c172ca566ec94d/contracts/src/Strategy.sol (sha256 00fae418c49cd681ad0879c6f96ebed0163fab5a660b38030f11e6947a39afd4); validate and read it. RULES: `contract Strategy is AMMStrategyBase`, imports only ./AMMStrategyBase.sol and ./IAMMStrategy.sol, slots 0..31, 250000 gas/call, no loops over history, fees in WAD <= 10%, passes `amm-match validate`. THEORY (ours, from the source): right after a bid arb at a 30 bps band the local optimum is bid 59 / ask 16 bps (mirror after an ask arb), relaxing after n silent steps: n=1 48/18, 2 42/20, 4 34/22, 8 28/25, 16 27/26. Killed kernel in silence: W = -ln(1-bid)-ln(1-ask) of the OLD band, m_n = m_0 exp(-3 pi^2 sigma^2 n/(2 W^2)), var_n = min(n sigma^2, W^2 (1/4-2/pi^2)). Invert the band with the fees USED for the trade, not the returned ones; only a timestamp's first trade can be an arb. SEEDS: `amm-match run --simulations N` = seeds 0..N-1; other seeds via amm_sim_rs.run_batch with configs built as MatchRunner._build_configs(seed) (numpy default_rng(seed) draws mean size, rate, sigma; Rust price seed = seed, retail seed+1). Tune ONLY on 0..99999, paired vs YQ. Then measure the fixed final candidate ONCE paired vs YQ on 500000..501999 (n 2000) and score it on 0..999. IDEA: {{idea}} RESULT JSON: approach; tried [{params, seeds, n, mean_diff, se}]; next; code (full .sol); code_sha256; delta (edits from YQ <=1500 chars, or 'standalone'); score {seed_start 0, n, mean_edge, se}; paired {reference 'YQ 00fae418', seed_start 500000, n, mean_diff, se, worst: 5 lowest per-seed diffs with seeds}; seconds_per_simulation; validate_ok; blocked; citations. Only numbers from your own runs; a negative result is valid, a tuning number reported as paired is not.",
      "items": [
        {
          "key": "th-killed",
          "vars": {
            "key": "th-killed",
            "idea": "YQ + delta: replace YQ's additive stale decay with the killed-kernel relaxation: at a callback after n silent timestamps shrink m_0 = ln(spot/pHat) to m_n and widen both sides by k*sqrt(var_n); fees = base + signed m_n term protecting the side spot favours + k*sqrt(var_n); tune base, the m coefficient and k on 10000..10499; change nothing else."
          }
        },
        {
          "key": "th-pia",
          "vars": {
            "key": "th-pia",
            "idea": "YQ + delta: replace YQ's shock gate on a timestamp's first print by an arb probability: L_A = prior density of ln(fair) at the band-inversion price x Jacobian 2g/(reserve_in_pre + g q); L_R = (lambda/2) P(no arb) x lognormal(sizeHat, 1.2) density of the inferred total order x its Jacobian; piA = L_A/(L_A+L_R); pHat = piA pA + (1-piA) pHat_pred. Tune the prior variance floor on 10000..10499."
          }
        },
        {
          "key": "th-local",
          "vars": {
            "key": "th-local",
            "idea": "Standalone local expected-edge maximiser, per side. m = ln(spot/pHat) (relaxing in silence as above), B = sqrt(k pHat), w^2 = var + sigma^2, competitor margin c = 30 bps -/+ clip(m, 30 bps). Maximise J(f) = (lambda/2) E_Q[q d + q^2/B] - (B/4) H(d,w), d = f+m (ask), f-m (bid), q = clip(Q/2 + B(c-d)/4, 0, Q), H = (w^2+d^2) Phi(-d/w) - d w phi(d/w), over a fixed unrolled grid of 12 fees per side."
          }
        },
        {
          "key": "th-pair",
          "vars": {
            "key": "th-pair",
            "idea": "Standalone, ~8 slots: a first print matching the closed-form arb size for the fees used (within 2%) recentres pHat and sets the pair by arb direction (protected side F_hi, favourable F_lo); later prints keep it; after n silent timestamps both relax toward F_mid: fee_n = F_mid + (fee_0 - F_mid) exp(-n/tau); a non-arb first print relaxes one step. Start 59/16/26 bps; tune the four on 10000..10499."
          }
        }
      ],
      "output": {
        "format": "json",
        "maxBytes": 64000
      }
    },
    {
      "name": "m5-map",
      "mode": "research",
      "brief": "Paradigm AMM fee challenge: measure how local scores map to the public board. No simulator, no strategy, web reading only. Quote exactly, with URL: (1) github.com/jiayaoqijia/amm-challenge-yq README: every sentence giving a board score (its own 523.21 claim, any fixed-fee baseline such as '30 bps = 522.13'), with context: board or local number, which simulator version and config. (2) https://www.paradigm.xyz/puzzles/amm and its about/rules pages, and the public leaderboard API if one exists (give the URL you used): the stated simulation parameters (steps, simulations per score, sigma, arrival rate, order size, normalizer fee, initial reserves) and the score definition. (3) github.com/benedictbrady/amm-challenge at 6b6921f8d463314aa7c96234e1be25a25245f704: the defaults in amm_competition/competition/config.py and the scoring in match.py; then list every later commit on main touching config.py, match.py, engine.rs, router.rs, arbitrageur.rs or retail.rs (hash, date, file, one-line summary of the change). Our local numbers at the pinned commit, default config: VanillaStrategy 30 bps 342.26 (se 0.52, seeds 900000..909999), StarterStrategy 50 bps 367.92 (se 0.59), fixed 75 bps 380.1 (seeds 0..999), YQ 524.63 (seeds 0..999). Board: 528.40 at 1st, about 524.66 at 10th, 743 entries. Decide from the quotes: does the board plausibly run the pinned default config (so YQ local 524.6 maps near its claimed 523.21 and a fixed 30 bps would NOT score 522 there), or a different config? Which quotes support which reading? RESULT JSON: quotes [{url, text}]; board_params; pinned_params; later_changes [{commit, date, file, summary}]; mapping_conclusion (<=600 chars); confidence (low/medium/high); citations. Quote, never paraphrase, the sentences the conclusion rests on; say plainly what you could not retrieve.",
      "items": [
        {
          "key": "board-map",
          "vars": {}
        }
      ],
      "output": {
        "format": "json",
        "maxBytes": 32000
      }
    }
  ],
  "read": [
    "r2-deep-a/alpha-first",
    "r2-deep-a/running-means",
    "r2-deep-a/sigma-arbs",
    "r2-deep-a/lambda-fix",
    "r2-deep-b/tune-base",
    "r2-deep-b/recenter",
    "r2-deep-b/tune-decay",
    "r2-deep-b/retail-alpha",
    "r2-fresh-a/phase",
    "r2-fresh-a/arb-class",
    "r2-fresh-a/kalman",
    "r2-fresh-a/silence",
    "r2-fresh-b/linear-cma",
    "r2-fresh-b/vol-redo",
    "r2-simplify/ablate",
    "r2-measure/yq-calib",
    "r2-measure/yq-replicate",
    "r2-measure/pub-chenghua",
    "r2-measure/pub-elizabeth",
    "r2b-a/tune-asym",
    "r2b-a/tune-tox",
    "r2b-a/norm-spot",
    "r2b-b/yq-lite",
    "r2b-b/linear-stale",
    "r2b-b/freeze-est",
    "th-a/th-killed",
    "th-a/th-pia",
    "th-a/th-local",
    "th-a/th-pair",
    "m5-map/board-map"
  ],
  "cancel": [],
  "wake": {
    "batches": [
      "r2b-a",
      "r2b-b",
      "th-a",
      "m5-map",
      "r2-deep-a",
      "r2-deep-b",
      "r2-fresh-a",
      "r2-fresh-b",
      "r2-simplify",
      "r2-measure"
    ],
    "afterMinutes": 240
  },
  "finish": false
}