c247d9cab0
Per pearl_cold_path_no_exception_to_gpu_drives.md and explicit user
direction ("remove the legacy paths!"), the two Plan-1-era host-side
DtoH+CPU-loop helpers are GONE — not just routed around. Replaced
with GPU kernel reductions writing to ISV slots.
Deleted (160 lines):
- GpuDqnTrainer::per_branch_vsn_mean() — DtoH params slice + host abs+mean loop
- GpuDqnTrainer::per_branch_target_drift() — DtoH (target+online) slices + host RMS loop
- FusedTrainingCtx::per_branch_vsn_mean() and per_branch_target_drift() wrappers
Added (GPU-only producers, ~150 lines):
- target_drift_kernel.cu: 2-block reduction RMS(target − online) for mag/dir
branches. 256-thread smem tree-reduce per block; thread 0 EMA-updates
ISV slot via pinned device-mapped (no DtoH).
- ISV slots [92] TARGET_DRIFT_MAG_EMA_INDEX, [93] TARGET_DRIFT_DIR_EMA_INDEX
- Fingerprint shifted [90,91] → [94,95]; ISV_TOTAL_DIM 92 → 96
- Trainer accessors: branch_param_slice_indices(), target_params_buf_device_ptr()
- Collector launcher launch_target_drift_ema_inplace()
- Constructor cold-start writes for the 2 new slots
HEALTH_DIAG site refactor:
- vsn_mag/vsn_dir read from ISV[VSN_MAG_EMA_INDEX=87], ISV[88] (Task 5
GPU-driven kernel produced these, replacing the legacy VSN scalars)
- drift_mag/drift_dir read from ISV[TARGET_DRIFT_MAG_EMA_INDEX=92], ISV[93]
- All 4 reads via FusedTrainingCtx::read_isv_signal_at — pinned device-mapped
so host reads are coherent with GPU kernel writes without explicit DtoH
isv-slots.md: rows for [87..89] updated to reflect GPU-only producers
(replaces stale text claiming host-DtoH); 2 new rows for [92, 93];
fingerprint shifted to [94, 95]; ISV_TOTAL_DIM bumped 92 → 96.
Smoke fold-2 best Sharpe 100.45 at ep5; per-fold best_val_metric
3.75/10.09/20.21 (avg 11.35) — within Plan 3 T5 baseline (95-117 range).
Pearl validation: this commit demonstrates the cold-path-no-exception
rule applied retroactively. The legacy methods existed for an entire
plan generation; "cold path is fine" was the rationale. New rule:
if a value is computed (reduction/EMA/RMS), the compute is in a kernel,
period — regardless of frequency.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
90 lines
18 KiB
Markdown
90 lines
18 KiB
Markdown
# ISV Slot Allocation Registry
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**Source of truth for ISV bus slot allocations.** Every slot has a named constant in `gpu_dqn_trainer.rs`. This doc is the cross-reference.
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**Design: layout fingerprint, not schema version.** ISV[37..39) carries a
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compile-time structural hash of the slot layout. Checkpoint load is
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fail-fast; no migration functions exist. Backward compat is structurally
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unwritable (there is no ordered version space to pair migrations against).
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See spec §4.A.2.
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**Tail placement rationale:** The fingerprint occupies the tail (`[55..57)`) rather
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than the head because `isv_signals[0]` and `isv_signals[1]` are actively written
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by `isv_signal_update` (Q-drift EMA and gradient-norm EMA respectively). Inserting
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at the head would displace those live signals and require shifting every upstream
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literal in `experience_kernels.cu`. The fingerprint moves to the new tail each time
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new slots are appended to the bus.
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**Current `ISV_TOTAL_DIM`:** 96 (Plan 1 + Plan 2 Task 1 C.1 + Plan 2 Task 3 D.2 per-branch gamma + Plan 2 Task 6C D.8 TLOB + Plan 3 Task 1 C.2 reward-component EMAs + Plan 3 Task 3 B.2 trade-attempt novelty + Plan 3 Task 4 B.4 readiness-EMA + Plan 3 Task 7 C.3 state-distribution KL + Plan 3 Task 8 B.3 GPU-only seed warm-start [82..85) + Plan 4 Task 5 Mode A E.5 attention-focus EMAs [87..90) + Plan 4 follow-up target-drift EMAs [92..94) replacing legacy CPU-DtoH `per_branch_target_drift()`). Post-full DQN v2 rollout: 96+.
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| Index | Name constant | Type | Producer | Consumers | Reset-category | Notes |
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|---|---|---|---|---|---|---|
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| [0] | `SLOT_0_Q_DRIFT` (seed only) | f32 | isv_signal_update | ISV encoder | FoldReset | `isv_signals[0]` = (q_mean − q_ema) / max(|q_ema|, 0.1) |
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| [1] | `SLOT_1_GRAD_NORM_EMA` (seed only) | f32 | isv_signal_update | ISV encoder | FoldReset | EMA of sqrt(grad_norm²) |
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| [2] | `SLOT_2_TD_ERR_EMA` (seed only) | f32 | isv_signal_update | ISV encoder | FoldReset | EMA of TD-error scalar |
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| [3] | `SLOT_3_ENS_VAR_EMA` (seed only) | f32 | isv_signal_update | ISV encoder | FoldReset | C51 Q-distribution variance EMA (batch-mean atom-spread) |
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| [4] | `SLOT_4_ENS_VAR_VEL` (seed only) | f32 | isv_signal_update | ISV encoder | FoldReset | Delta of slot 3 (variance velocity) |
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| [5] | `SLOT_5_REWARD_EMA` (seed only) | f32 | isv_signal_update | ISV encoder | FoldReset | EMA of per-batch mean reward |
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| [6] | `SLOT_6_ATOM_UTIL_EMA` (seed only) | f32 | isv_signal_update | ISV encoder | FoldReset | EMA of atom utilization fraction |
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| [7] | `SLOT_7_LOSS_EMA` (seed only) | f32 | isv_signal_update | ISV encoder | FoldReset | EMA of total training loss |
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| [8] | `SLOT_8_ADX_EMA` (seed only) | f32 | isv_signal_update | ISV encoder | FoldReset | Batch-mean ADX EMA (regime velocity indicator) |
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| [9] | `SLOT_9_REGIME_DISAGREE` (seed only) | f32 | isv_signal_update | ISV encoder | FoldReset | |norm(ADX) − norm(CUSUM)| disagreement signal |
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| [10] | `SLOT_10_REGIME_VEL_EMA` (seed only) | f32 | isv_signal_update | ISV encoder | FoldReset | EMA of regime transition velocity (ADX + CUSUM delta) |
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| [11] | `SLOT_11_REGIME_STABILITY` (seed only) | f32 | isv_signal_update | ISV encoder | FoldReset | 1 − sigmoid(5 × regime_vel); high = stable regime |
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| [12] | `LEARNING_HEALTH_INDEX` | f32 | isv_signal_update | many | FoldReset | health score ∈ [0, 1] |
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| [13..17) | `Q_MAG_MEAN_*_INDEX` | f32 | q_mag_means_reduce | c51 kernels | FoldReset | Quarter/Half/Full mag Q-mean EMAs + \|Q\| ref |
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| [17..22) | `Q_DIR_MEAN_*_INDEX` | f32 | q_dir_means_reduce | c51 kernels | FoldReset | Short/Hold/Long/Flat dir Q-mean EMAs + \|Q\| ref |
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| [22] | `SHARPE_EMA_INDEX` | f32 | training_loop host | isv_signal_update | FoldReset | Training Sharpe EMA |
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| [23..31) | `V_{CENTER,HALF}_{DIR,MAG,ORD,URG}_INDEX` | f32 | update_eval_v_range | adaptive_atoms, warm_start | FoldReset | Per-branch Q-support |
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| [31..35) | `GRAD_NORM_TARGET_*_INDEX` | f32 | grad_balance_isv_update | branch_grad_rescale | SoftReset(decay_bars=500) | Per-branch grad-norm target |
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| [35] | `GRAD_SCALE_LIMIT_INDEX` | f32 | grad_balance_isv_update | branch_grad_rescale | SoftReset(decay_bars=500) | Scale clamp limit |
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| [36] | `IQL_BRANCH_SCALE_FLOOR_INDEX` | f32 | construct (static) | iql_per_branch_advantage | SchemaContract | Per-sample branch_scales floor; safety bound |
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| [37..39) | (gap — fingerprint moved to tail) | — | — | — | — | Previously [37..39); fingerprint promoted to [47..49) by Plan 1 C.6 expansion. Slots unused; zero-filled. |
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| [39] | `EPOCH_IDX_INDEX` | f32 (int cast) | CPU epoch-loop (follow-up task) | GPU adaptive kernels | FoldReset | Current epoch index; 0 at construction, CPU writes at each epoch boundary |
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| [40] | `TOTAL_EPOCHS_INDEX` | f32 (int cast) | construct (CPU static) | GPU adaptive kernels | SchemaContract | Total epoch count for this run; written at construction from `config.total_epochs` |
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| [41] | `EPSILON_EFF_INDEX` | f32 | GPU epsilon-adaptive kernel (follow-up) | epsilon-greedy action select | FoldReset | Effective epsilon; 0 at construction; GPU fills each step |
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| [42] | `TAU_EFF_INDEX` | f32 | GPU tau-adaptive kernel (follow-up) | target-net Polyak update | FoldReset | Effective tau; 0 at construction; GPU fills each step |
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| [43] | `GAMMA_DIR_EFF_INDEX` | f32 | GPU per_branch_gamma_update kernel (Plan 2 D.2) | c51_loss_batched, iql_compute_per_sample_support | FoldReset | Direction-branch gamma; base=0.92, max=0.99; GPU fills each epoch boundary |
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| [44] | `GAMMA_MAG_EFF_INDEX` | f32 | GPU per_branch_gamma_update kernel (Plan 2 D.2) | c51_loss_batched, iql_compute_per_sample_support | FoldReset | Magnitude-branch gamma; base=0.88, max=0.95 |
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| [45] | `GAMMA_ORD_EFF_INDEX` | f32 | GPU per_branch_gamma_update kernel (Plan 2 D.2) | c51_loss_batched, iql_compute_per_sample_support | FoldReset | Order-branch gamma; base=0.85, max=0.93 |
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| [46] | `GAMMA_URG_EFF_INDEX` | f32 | GPU per_branch_gamma_update kernel (Plan 2 D.2) | c51_loss_batched, iql_compute_per_sample_support | FoldReset | Urgency-branch gamma; base=0.80, max=0.90 |
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| [47] | `KELLY_CAP_EFF_INDEX` | f32 | GPU kelly-cap-adaptive kernel (Plan 1 Task 11) | experience_env_step | FoldReset | Effective Kelly cap; 0 at construction; GPU fills each step |
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| [48] | `CQL_ALPHA_INDEX` | f32 | construct (CPU static) | CQL adaptive formula in Rust | SchemaContract | CQL pessimism base coefficient; written from `config.cql_alpha`; read in `compute_cql_logit_gradients` |
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| [49] | `PLAN_THRESHOLD_INDEX` | f32 | GPU `plan_threshold_update` kernel (Plan 3 B.4) | `experience_kernels.cu`, `backtest_plan_kernel.cu` | FoldReset | Plan-MLP activation threshold; producer upgraded from static constructor write to GPU kernel by Plan 3 Task 4 B.4. Cold-start 0.5f preserved. Kernel writes `max(0.1, 0.5 × ISV[READINESS_EMA_INDEX=75])` each epoch. Consumers (4 sites in `experience_kernels.cu` + 1 in `backtest_plan_kernel.cu`) unchanged — still read via `ISV_PLAN_THRESHOLD_IDX`. |
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| [50] | `Q_P05_DIR_INDEX` | f32 | q_quantile_reduce GPU kernel (cold-path per-epoch) | update_eval_v_range | FoldReset | Direction-branch 5th-percentile Q EMA. Bootstrap: v_min. |
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| [51] | `Q_P05_MAG_INDEX` | f32 | q_quantile_reduce | update_eval_v_range | FoldReset | Magnitude-branch 5th-percentile Q EMA. Bootstrap: v_min. |
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| [52] | `Q_P05_ORD_INDEX` | f32 | q_quantile_reduce | update_eval_v_range | FoldReset | Order-branch 5th-percentile Q EMA. Bootstrap: v_min. |
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| [53] | `Q_P05_URG_INDEX` | f32 | q_quantile_reduce | update_eval_v_range | FoldReset | Urgency-branch 5th-percentile Q EMA. Bootstrap: v_min. |
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| [54] | `Q_P95_DIR_INDEX` | f32 | q_quantile_reduce GPU kernel (cold-path per-epoch) | update_eval_v_range | FoldReset | Direction-branch 95th-percentile Q EMA. Bootstrap: v_max. |
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| [55] | `Q_P95_MAG_INDEX` | f32 | q_quantile_reduce | update_eval_v_range | FoldReset | Magnitude-branch 95th-percentile Q EMA. Bootstrap: v_max. |
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| [56] | `Q_P95_ORD_INDEX` | f32 | q_quantile_reduce | update_eval_v_range | FoldReset | Order-branch 95th-percentile Q EMA. Bootstrap: v_max. |
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| [57] | `Q_P95_URG_INDEX` | f32 | q_quantile_reduce | update_eval_v_range | FoldReset | Urgency-branch 95th-percentile Q EMA. Bootstrap: v_max. |
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| [58..60) | (gap — fingerprint shifted to tail) | — | — | — | — | Previously [58..60); fingerprint promoted to [61..63) by Plan 2 Task 6C D.8 TLOB expansion. Slots unused; zero-filled. |
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| [60] | `TLOB_REGIME_FOCUS_EMA_INDEX` | f32 | CPU training_loop (per-epoch) | ISV consumers (diagnostic) | FoldReset | Mean-max TLOB attention weight EMA (α=0.05); written at epoch boundary from `GpuTlob::mean_max_attention_weight`. Indicates OFI feature focus sharpness. |
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| [61] | (gap — fingerprint shifted to tail) | — | — | — | — | Previously [61]; fingerprint promoted to [69..71) by Plan 3 Task 1 C.2 reward-EMA expansion. Slot unused; zero-filled. |
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| [62] | (gap — fingerprint shifted to tail) | — | — | — | — | Previously [62]; see [61] note above. Slot unused; zero-filled. |
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| [63] | `REWARD_POPART_EMA_INDEX` | f32 | GPU `reward_component_ema` kernel (Plan 3 C.2) | HEALTH_DIAG `reward_split`, `RewardComponentMonitor` | FoldReset | EMA of mean \|popart reward\| across batch (α=0.05). Final on-policy reward component. |
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| [64] | `REWARD_CF_EMA_INDEX` | f32 | GPU `reward_component_ema` kernel (Plan 3 C.2) | HEALTH_DIAG `reward_split`, `RewardComponentMonitor` | FoldReset | EMA of mean \|counterfactual reward\| across batch (α=0.05). Zero until Plan 3 B.1. |
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| [65] | `REWARD_TRAIL_EMA_INDEX` | f32 | GPU `reward_component_ema` kernel (Plan 3 C.2) | HEALTH_DIAG `reward_split`, `RewardComponentMonitor` | FoldReset | EMA of mean \|trail reward\| across batch (α=0.05). Structural placeholder; populated by Plan 3 B.2. |
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| [66] | `REWARD_MICRO_EMA_INDEX` | f32 | GPU `reward_component_ema` kernel (Plan 3 C.2) | HEALTH_DIAG `reward_split`, `RewardComponentMonitor` | FoldReset | EMA of mean \|OFI micro-reward\| across batch (α=0.05). Populated via `rc[3]` in `experience_env_step`. |
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| [67] | `REWARD_OPP_COST_EMA_INDEX` | f32 | GPU `reward_component_ema` kernel (Plan 3 C.2) | HEALTH_DIAG `reward_split`, `RewardComponentMonitor` | FoldReset | EMA of mean \|opportunity-cost reward\| across batch (α=0.05). Populated by Plan 3 B.1 at the Flat-branch opp-cost site. |
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| [68] | `REWARD_BONUS_EMA_INDEX` | f32 | GPU `reward_component_ema` kernel (Plan 3 C.2) | HEALTH_DIAG `reward_split`, `RewardComponentMonitor` | FoldReset | EMA of mean \|bonus reward\| across batch (α=0.05). Populated by Plan 3 B.2 at the Flat→Positioned site (rc[5]). |
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| [71] | `TRADE_ATTEMPT_RATE_EMA_INDEX` | f32 | GPU `trade_attempt_rate_ema_update` kernel (Plan 3 B.2) | `experience_env_step` Flat→Positioned bonus path | FoldReset | EMA of Flat→Positioned transition rate (0..1). Adaptive α = α_base × (1 + 0.5×\|clamp(sharpe, -2, 2)\|). α_base = 0.05. Zero at construction and fold boundary. |
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| [72] | `TRADE_TARGET_RATE_INDEX` | f32 | CPU `training_loop` (epoch 5 freeze) | `experience_env_step` novelty computation | FoldReset | Reference rate for novelty = max(0, 1 - attempt/target). Frozen at epoch 5 from measured TRADE_ATTEMPT_RATE_EMA (min 0.001). Pre-freeze the slot is 0 and the bonus site gates on `target_raw > 1e-6f`, so the reward term is structurally inert until the freeze fires. |
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| [73..76) | (gap — fingerprint shifted to tail) | — | — | — | — | Previously [73..75); fingerprint shifted by Plan 3 Task 4 B.4 to accommodate the new READINESS_EMA slot. Slots unused; zero-filled. |
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| [75] | `READINESS_EMA_INDEX` | f32 | GPU `plan_threshold_update` kernel (Plan 3 B.4) | derived → ISV[PLAN_THRESHOLD_INDEX=49]; `PlanThresholdMonitor` | FoldReset | Per-batch mean readiness EMA (α=α_base × (1+0.5×\|clamp(sharpe,−2,2)\|), α_base=0.05). Cold-start 1.0 so derived threshold = 0.5 matches the previous static default. Drives slot 49 producer-only — consumers unchanged. |
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| [78] | `STATE_KL_TRAIN_VAL_EMA_INDEX` | f32 | GPU `state_kl_moment_match` kernel (Plan 3 C.3) | `StateKLMonitor` (HEALTH_DIAG) | FoldReset | Per-validation-epoch moment-match KL EMA between train-state sample and val-state batch over the OFI block (32 dims). Adaptive α=α_base × (1+0.5×\|clamp(sharpe,−2,2)\|), α_base=0.05. Cold-start 0.0 — first kernel fire EMAs the actual measured KL toward this. |
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| [79] | `STATE_KL_AMPLIFICATION_INDEX` | f32 | GPU `state_kl_moment_match` kernel (Plan 3 C.3) | `experience_kernels.cu` B.1 opp_cost + B.2 bonus consumers (via `ISV_STATE_KL_AMP_IDX` macro) | FoldReset | Bounded amplifier ∈ [1, 2] tracking trailing-EMA-of-self KL ratio: `1 + clamp(new_ema/prev_ema − 1, 0, 1)`. Cold-start 1.0 — neutral element behind consumers' `fmaxf(1.0, …)` guard. When train/val distributions diverge, both Flat opp-cost and trade-attempt bonus scale up together. Per `pearl_one_unbounded_signal_per_reward.md`: amp is bounded so it stacks safely with B.1's `q_abs_ref` unbounded multiplicand. |
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| [48] | `CQL_ALPHA_INDEX` (post-Plan-3-T9 producer upgrade) | f32 | GPU `cql_alpha_seed_update` kernel (Plan 3 C.5) | `compute_cql_logit_gradients` (Rust ISV read) | FoldReset (was SchemaContract) | CQL pessimism base coefficient. Producer upgraded SchemaContract → FoldReset by Plan 3 Task 9 C.5: per-epoch GPU kernel EMAs slot 48 toward `config.cql_alpha × max(0, 1 - ISV[SEED_FRAC_EMA_INDEX=84])`. During seed phase (frac=1), target=0 → CQL α decays to 0 (no pessimism on exploration data); as frac → 0, α ramps to `config.cql_alpha` (full pessimism on network-driven trajectories). Constructor cold-starts to `config.cql_alpha`; fold-boundary reset re-applies. |
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| [82] | `SEED_STEPS_TARGET_INDEX` | f32 | construct (CPU static, from `config.replay_seed_steps`) | `seed_step_counter_update` GPU kernel (Plan 3 B.3) | SchemaContract | Plan 3 Task 8 B.3 — target number of seed-phase experience-collection samples. Default 100_000; smoke configs may override to 10_000 so the seed→network transition is observable inside the smoke run. |
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| [83] | `SEED_STEPS_DONE_INDEX` | f32 | GPU `seed_step_counter_update` kernel (Plan 3 B.3) | training_loop CPU dispatch decision (per-epoch read) + `seed_step_counter_update` self | FoldReset | Plan 3 Task 8 B.3 — cumulative seed-phase steps completed. GPU-incremented by `n_samples_this_step` per `collect_experiences_gpu` call, capped at TARGET. Cold-start 0; fold-boundary reset re-applies. CPU per-epoch read of (DONE, TARGET) decides whether next collect dispatches scripted-policy kernel (DONE < TARGET) or `experience_action_select`. |
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| [84] | `SEED_FRAC_EMA_INDEX` | f32 | GPU `seed_step_counter_update` kernel (Plan 3 B.3) | GPU `cql_alpha_seed_update` kernel (Plan 3 C.5) + `SeedMonitor` | FoldReset | Plan 3 Task 8 B.3 — adaptive EMA of `max(0, 1 - DONE/TARGET) ∈ [0, 1]`. Cold-start 1.0 (fully in seed phase) so Task 9's CQL ramp sees `target = final × max(0, 1 - 1.0) = 0` until the seed phase actually decays. Adaptive α = α_base × (1 + 0.5 × \|clamp(sharpe, ±2)\|), α_base = 0.05. |
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| [87] | `VSN_MAG_EMA_INDEX` | f32 | GPU `attention_focus_ema_update` kernel (Plan 4 E.5 Mode A; rewritten 2026-04-25 for GPU-only reduction) | `AttentionMonitor` (HEALTH_DIAG); HEALTH_DIAG `noisy [vsn_mag=…]` reads via `read_isv_signal_at` | FoldReset | Magnitude-branch VSN-weight magnitude EMA. **GPU-computed** by block 0 of `attention_focus_ema_update` (256-thread smem reduction over the params buffer slice corresponding to VSN mag tensors). Adaptive α = α_base × (1 + 0.5 × \|clamp(sharpe, ±2)\|), α_base = 0.05. Cold-start 0.0. Replaces the legacy CPU-DtoH `per_branch_vsn_mean()` that was deleted 2026-04-25 per `pearl_cold_path_no_exception_to_gpu_drives.md`. |
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| [88] | `VSN_DIR_EMA_INDEX` | f32 | GPU `attention_focus_ema_update` kernel block 1 | same | FoldReset | Direction-branch equivalent of [87]. Same producer/contract. |
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| [89] | `MAMBA2_RETENTION_EMA_INDEX` | f32 | GPU `attention_focus_ema_update` kernel block 2 | same | FoldReset | Mamba2 state-transition magnitude EMA (retention proxy). **GPU-computed** by block 2's smem reduction over the live `mamba2_h_enriched` device buffer (no DtoH). Same EMA convention as [87]. Diagnostic only. |
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| [92] | `TARGET_DRIFT_MAG_EMA_INDEX` | f32 | GPU `target_drift_ema_update` kernel block 0 (Plan 4 follow-up, 2026-04-25) | HEALTH_DIAG `noisy [drift_mag=…]` via `read_isv_signal_at` | FoldReset | RMS(target − online) of magnitude-branch params (tensors 12..16), EMA-tracked. **GPU-computed** by block 0 of `target_drift_ema_update` (256-thread smem reduction of squared diffs, sqrt at thread 0). Adaptive α = α_base × (1 + 0.5 × \|clamp(sharpe, ±2)\|), α_base = 0.05. Cold-start 0.0. Replaces the legacy CPU-DtoH `per_branch_target_drift()` that was deleted 2026-04-25 per `pearl_cold_path_no_exception_to_gpu_drives.md`. |
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| [93] | `TARGET_DRIFT_DIR_EMA_INDEX` | f32 | GPU `target_drift_ema_update` kernel block 1 | HEALTH_DIAG `noisy [drift_dir=…]` | FoldReset | Direction-branch equivalent of [92] (params tensors 8..12). |
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| [94] | `ISV_LAYOUT_FINGERPRINT_LO_INDEX` | u32 bits (in f32) | construct | check_layout_fingerprint | SchemaContract | Low 32 bits of u64 FNV-1a structural hash. Fail-fast on mismatch — NOT a version number, no migration path. Shifted 69→73 by Plan 3 Task 3 B.2, 73→76 by Plan 3 Task 4 B.4, 76→80 by Plan 3 Task 7 C.3, 80→85 by Plan 3 Task 8 B.3, 85→90 by Plan 4 Task 5 Mode A, 90→94 by Plan 4 follow-up (target-drift EMA replacing legacy CPU-DtoH path). |
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| [95] | `ISV_LAYOUT_FINGERPRINT_HI_INDEX` | u32 bits (in f32) | construct | check_layout_fingerprint | SchemaContract | High 32 bits of u64 FNV-1a structural hash. Shifted 70→74, 74→77, 77→81, 81→86, 86→91, 91→95 across the same revisions as [94]. |
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| [96) | (reserved for DQN v2) | | | | | Allocated incrementally by Plans 4-5 |
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