vla / workspace /scripts /build_paper_table_status.py
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auto-sync 2026-07-02T16:56:12Z workspace (part 5)
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#!/usr/bin/env python
from __future__ import annotations
import json
from dataclasses import asdict, dataclass
from pathlib import Path
from typing import Any
RESULTS_DIR = Path("results")
BASELINE_H16_POLICY = 0.29739130434782607
@dataclass(frozen=True)
class ResultSpec:
key: str
label: str
path: str
clean_deployment: str
same_state_proposals: str
expert_proposal: str
story_role: str
fallback_success: float | None = None
pending_job: str = ""
SPECS = [
ResultSpec(
key="h16_policy",
label="Direct h=16 policy",
path="",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="behavior-cloning baseline",
fallback_success=0.29739130434782607,
),
ResultSpec(
key="gaussian_field",
label="Gaussian field search",
path="h16_field_sweep_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="negative off-manifold field ablation",
fallback_success=0.2910,
),
ResultSpec(
key="retrieval_lattice_no_expert",
label="Nearest train-state lattice, no expert",
path="h16_retrieval_lattice_no_expert_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="negative generic action-library ablation",
fallback_success=0.2713,
),
ResultSpec(
key="near_miss_policy_bc5_field",
label="Near-miss proposal policy + field",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_field_sweep_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="strong clean proposal-field bridge",
fallback_success=0.3293,
),
ResultSpec(
key="field_optim",
label="Trust-region field optimization",
path="h16_field_optim_near_miss_policy_bc5_bestpt_s4_trust05_afterany_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="differentiable field-ascent diagnostic",
pending_job="14842528/14842551",
),
ResultSpec(
key="nonexpert_policy_bc5",
label="Best non-expert proposal policy",
path="h16_policy_ckpt_nonexpert_policy_bc5_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="broader non-expert proposal-model ablation",
pending_job="14842574/14842575/14842616",
),
ResultSpec(
key="nonexpert_policy_bc5_field",
label="Best non-expert proposal policy + field",
path="h16_policy_ckpt_nonexpert_policy_bc5_bestpt_field_sweep_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="broader proposal-field ablation",
pending_job="14842574/14842577/14842617",
),
ResultSpec(
key="field_selected_noexpert_policy",
label="Field-selected no-expert distillation policy",
path="h16_policy_ckpt_field_selected_noexpert_bc5_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="student of field-on-lattice teacher",
pending_job="14858327/14858328/14858329/14858330",
),
ResultSpec(
key="field_selected_noexpert_policy_field",
label="Field-selected no-expert distillation + field",
path="h16_policy_ckpt_field_selected_noexpert_bc5_bestpt_field_sweep_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="student proposal with field scoring",
pending_job="14858327/14858328/14858331/14858332",
),
ResultSpec(
key="field_selected_noexpert_policy_allmap",
label="Field-selected no-expert distillation policy, aligned validation",
path="h16_policy_ckpt_field_selected_noexpert_bc5_allmap_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="field-teacher student with aligned checkpoint selection",
pending_job="14858449/14858450/14858451/14858452",
),
ResultSpec(
key="field_selected_noexpert_policy_allmap_field",
label="Field-selected no-expert distillation + field, aligned validation",
path="h16_policy_ckpt_field_selected_noexpert_bc5_allmap_bestpt_field_sweep_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="aligned field-teacher student with field scoring",
pending_job="14858449/14858450/14858453/14858454",
),
ResultSpec(
key="retrieval_residual_tangent_distill_allmap",
label="Residual-tangent distillation policy, aligned validation",
path="h16_policy_ckpt_residual_tangent_bc5_allmap_v2_best_policy_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="negative student of transported tangent teacher",
pending_job="14862455/14862456/14862457/14862458",
),
ResultSpec(
key="retrieval_residual",
label="Train-state counterfactual residual retrieval",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_v2_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="transferable local tangent proposal",
pending_job="14857111/14857112/14857113",
),
ResultSpec(
key="retrieval_residual_scale025",
label="Train-state residual retrieval, scale 0.25",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p25_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="tangent transport scale ablation",
pending_job="14858875/14858876",
),
ResultSpec(
key="retrieval_residual_scale050",
label="Train-state residual retrieval, scale 0.50",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="tangent transport scale ablation",
pending_job="14858877/14858878",
),
ResultSpec(
key="retrieval_residual_scale050_zscore",
label="Train-state residual retrieval, scale 0.50, z-score retrieval",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_zscore_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="state-normalized tangent retrieval ablation",
pending_job="14859197/14859198",
),
ResultSpec(
key="retrieval_residual_scale050_zscore_no_random_wrongdir",
label="Train-state residual retrieval, scale 0.50, z-score retrieval, no random/wrong-direction residuals",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_zscore_no_random_wrongdir_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="state-normalized typed tangent retrieval ablation",
pending_job="14859199/14859200",
),
ResultSpec(
key="retrieval_residual_scale025_zscore_no_random_wrongdir",
label="Train-state residual retrieval, scale 0.25, z-score retrieval, no random/wrong-direction residuals",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p25_zscore_no_random_wrongdir_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="state-normalized typed tangent retrieval ablation",
pending_job="14859201/14859202",
),
ResultSpec(
key="retrieval_residual_scale050_no_random",
label="Train-state residual retrieval, scale 0.50, no random residuals",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_no_random_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="anti-goal residual family mask ablation",
pending_job="14859188/14859189",
),
ResultSpec(
key="retrieval_residual_scale050_no_random_wrongdir",
label="Train-state residual retrieval, scale 0.50, no random/wrong-direction residuals",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_no_random_wrongdir_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="anti-goal residual family mask ablation",
pending_job="14859191/14859192",
),
ResultSpec(
key="retrieval_residual_scale025_no_random_wrongdir",
label="Train-state residual retrieval, scale 0.25, no random/wrong-direction residuals",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p25_no_random_wrongdir_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="anti-goal residual family mask ablation",
pending_job="14859193/14859194",
),
ResultSpec(
key="retrieval_residual_scale050_safe_types",
label="Train-state residual retrieval, scale 0.50, policy/no-op/wrong-gripper residuals",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_safe_types_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="typed tangent-family mask ablation",
pending_job="14859195/14859196",
),
ResultSpec(
key="retrieval_residual_scale035_safe_types",
label="Train-state residual retrieval, scale 0.35, policy/no-op/wrong-gripper residuals",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p35_safe_types_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="typed tangent scale fine sweep",
pending_job="14859503/14859504",
),
ResultSpec(
key="retrieval_residual_scale035_safe_margin020",
label="Train-state residual retrieval, scale 0.35, safe residuals, advantage margin 0.20",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p35_safe_types_margin0p20_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="counterfactual advantage abstention",
pending_job="14862714/14862715",
),
ResultSpec(
key="retrieval_residual_scale050_safe_margin020",
label="Train-state residual retrieval, scale 0.50, safe residuals, advantage margin 0.20",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_safe_types_margin0p20_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="counterfactual advantage abstention scale tie",
pending_job="14862802/14862803",
),
ResultSpec(
key="retrieval_residual_knn2_scale040_safe_margin020",
label="K2 train-state residual retrieval, scale 0.40, safe residuals, advantage margin 0.20",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_knn2_scale0p40_safe_types_margin0p20_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="previous best counterfactual advantage abstention",
pending_job="14862936/14862937",
),
ResultSpec(
key="retrieval_residual_taskrelative_knn2_scale040_safe_margin020",
label="K2 task-relative residual retrieval, scale 0.40, safe residuals, advantage margin 0.20",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_taskrelative_knn2_scale0p40_safe_types_margin0p20_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="task-relative state metric for counterfactual tangent retrieval",
pending_job="14893789/14893790",
),
ResultSpec(
key="retrieval_residual_k1grid_tight_safe_ray_margin020",
label="K1 train-state residual ray search, safe residuals, scales 0.30/0.40/0.50, advantage margin 0.20",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k1grid_tight_safe_ray_margin0p20_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="counterfactual tangent ray-search diagnostic",
pending_job="14868993/14868994",
),
ResultSpec(
key="retrieval_residual_k2grid_tight_safe_ray_margin020",
label="K2 train-state residual ray search, safe residuals, scales 0.30/0.40/0.50, advantage margin 0.20",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k2grid_tight_safe_ray_margin0p20_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="counterfactual tangent ray-search diagnostic",
pending_job="14868995/14868996",
),
ResultSpec(
key="retrieval_residual_k2grid_broad_safe_ray_margin020",
label="K2 train-state residual ray search, safe residuals, scales 0.20/0.35/0.50/0.65, advantage margin 0.20",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k2grid_broad_safe_ray_margin0p20_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="counterfactual tangent ray-search diagnostic",
pending_job="14868997/14868998",
),
ResultSpec(
key="retrieval_residual_k4grid_tight_safe_ray_margin020",
label="K4 train-state residual ray search, safe residuals, scales 0.30/0.40/0.50, advantage margin 0.20",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4grid_tight_safe_ray_margin0p20_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="counterfactual tangent ray-search diagnostic",
pending_job="14868999/14869000",
),
ResultSpec(
key="retrieval_residual_k4_scale040_safe_margin020_mean_by_type",
label="K4 train-state residual retrieval, scale 0.40, safe residuals, mean-by-type tangent consensus",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p20_mean_by_type_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="counterfactual tangent consensus near-tie ablation",
pending_job="14868699/14868700",
),
ResultSpec(
key="retrieval_residual_k4_kernel_mean",
label="K4 kernel-weighted residual retrieval, scale 0.40, margin 0.20",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p20_kernel_mean_by_type_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="local counterfactual tangent-field interpolation",
pending_job="14891067/14891083",
),
ResultSpec(
key="retrieval_residual_k4_kernel_mean_noopbonus003",
label="K4 kernel-weighted residual retrieval, scale 0.40, margin 0.20, no-op residual bonus 0.03",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p20_kernel_mean_by_type_noopbonus0p03_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="local counterfactual tangent-field interpolation with sparse-action prior",
pending_job="14891072/14891085",
),
ResultSpec(
key="retrieval_residual_k4_kernel_mean_s035_noopbonus003",
label="K4 kernel-weighted residual retrieval, scale 0.35, margin 0.20, no-op residual bonus 0.03",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s035_safe_margin0p20_kernel_mean_by_type_noopbonus0p03_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="local counterfactual tangent-field interpolation scale check",
pending_job="14891076/14891087",
),
ResultSpec(
key="retrieval_residual_k4_kernel_mean_s045_noopbonus003",
label="K4 kernel-weighted residual retrieval, scale 0.45, margin 0.20, no-op residual bonus 0.03",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s045_safe_margin0p20_kernel_mean_by_type_noopbonus0p03_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="local counterfactual tangent-field interpolation scale check",
pending_job="14891082/14891088",
),
ResultSpec(
key="retrieval_residual_k4_fieldsoftmax_grid",
label="K4 field-softmax residual transport, safe residuals, scales 0.35/0.40/0.45, margin 0.20",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4_fieldsoftmax_grid_safe_margin0p20_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="field-conditioned counterfactual tangent transport",
pending_job="14891889/14891934",
),
ResultSpec(
key="retrieval_residual_k4_fieldsoftmax_grid_noopbonus003",
label="K4 field-softmax residual transport, safe residuals, scales 0.35/0.40/0.45, margin 0.20, no-op residual bonus 0.03",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4_fieldsoftmax_grid_safe_margin0p20_noopbonus0p03_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="field-conditioned tangent transport with sparse-action prior",
pending_job="14891902/14891946",
),
ResultSpec(
key="retrieval_residual_k4_fieldsoftmax_grid_margin010_noopbonus003",
label="K4 field-softmax residual transport, safe residuals, scales 0.35/0.40/0.45, margin 0.10, no-op residual bonus 0.03",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4_fieldsoftmax_grid_safe_margin0p10_noopbonus0p03_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="field-conditioned tangent transport abstention sweep",
pending_job="14892958/14893002",
),
ResultSpec(
key="retrieval_residual_k4_fieldsoftmax_grid_margin005_noopbonus003",
label="K4 field-softmax residual transport, safe residuals, scales 0.35/0.40/0.45, margin 0.05, no-op residual bonus 0.03",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4_fieldsoftmax_grid_safe_margin0p05_noopbonus0p03_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="field-conditioned tangent transport abstention sweep",
pending_job="14892975/14893016",
),
ResultSpec(
key="retrieval_residual_k4_fieldsoftmax_grid_margin000_noopbonus003",
label="K4 field-softmax residual transport, safe residuals, scales 0.35/0.40/0.45, margin 0.00, no-op residual bonus 0.03",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4_fieldsoftmax_grid_safe_margin0p00_noopbonus0p03_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="field-conditioned tangent transport no-abstention diagnostic",
pending_job="14892990/14893028",
),
ResultSpec(
key="retrieval_residual_k8_fieldsoftmax_grid_noopbonus003",
label="K8 field-softmax residual transport, safe residuals, scales 0.35/0.40/0.45, margin 0.20, no-op residual bonus 0.03",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k8_fieldsoftmax_grid_safe_margin0p20_noopbonus0p03_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="field-conditioned tangent transport neighborhood scaling",
pending_job="14891923/14891960",
),
ResultSpec(
key="retrieval_residual_k4_mean_noopbonus003",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.20, no-op residual bonus 0.03",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p20_mean_by_type_noopbonus0p03_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="current best clean typed sparse-intervention prior",
pending_job="14883919/14883920",
),
ResultSpec(
key="retrieval_residual_k4_mean_noopbonus003_srcprog025",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.20, no-op bonus 0.03, source progress >= 0.25",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p20_mean_by_type_noopbonus0p03_srcprog0p25_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="soft train-source viability gate for sparse residual transport",
pending_job="14894438/14894439",
),
ResultSpec(
key="retrieval_residual_k4_mean_margin015_noopbonus003",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.15, no-op bonus 0.03",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p15_mean_by_type_noopbonus0p03_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="advantage-abstention margin fine sweep for sparse residual transport",
pending_job="14897841/14897845",
),
ResultSpec(
key="retrieval_residual_k4_mean_margin025_noopbonus003",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.25, no-op bonus 0.03",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p25_mean_by_type_noopbonus0p03_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="advantage-abstention margin fine sweep for sparse residual transport",
pending_job="14897842/14897846",
),
ResultSpec(
key="retrieval_residual_k4_mean_margin015_srcscorebonus002",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.15, source-score bonus 0.02",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p15_mean_by_type_srcscorebonus0p02_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="advantage-abstention margin fine sweep with measured train-source prior",
pending_job="14897843/14897847",
),
ResultSpec(
key="retrieval_residual_k4_mean_margin025_srcscorebonus002",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.25, source-score bonus 0.02",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p25_mean_by_type_srcscorebonus0p02_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="advantage-abstention margin fine sweep with measured train-source prior",
pending_job="14897844/14897848",
),
ResultSpec(
key="retrieval_residual_k4_mean_grid035040045_noopbonus003",
label="K4 mean-by-type residual retrieval, scales 0.35/0.40/0.45, margin 0.20, no-op bonus 0.03",
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ResultSpec(
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ResultSpec(
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ResultSpec(
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ResultSpec(
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clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="no-op-only residual-family ablation with measured train-source prior",
pending_job="14897564/14897566",
),
ResultSpec(
key="retrieval_residual_k4_mean_noopbonus003_srcprog050",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.20, no-op bonus 0.03, source progress >= 0.50",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p20_mean_by_type_noopbonus0p03_srcprog0p50_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="train-source viability gate for sparse residual transport",
pending_job="14894298/14894300",
),
ResultSpec(
key="retrieval_residual_k4_mean_noopbonus003_srcprog075",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.20, no-op bonus 0.03, source progress >= 0.75",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p20_mean_by_type_noopbonus0p03_srcprog0p75_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="strict train-source viability gate for sparse residual transport",
pending_job="14894299/14894301",
),
ResultSpec(
key="retrieval_residual_k4_mean_srcprogbonus003",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.20, source-progress bonus 0.03",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p20_mean_by_type_srcprogbonus0p03_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="train-source progress prior replacing typed no-op prior",
pending_job="14894674/14894676",
),
ResultSpec(
key="retrieval_residual_k4_mean_srcprogbonus005",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.20, source-progress bonus 0.05",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p20_mean_by_type_srcprogbonus0p05_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="strong train-source progress prior replacing typed no-op prior",
pending_job="14894675/14894677",
),
ResultSpec(
key="retrieval_residual_k4_mean_srcscorebonus0015",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.20, source-score bonus 0.015",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p20_mean_by_type_srcscorebonus0p015_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="train-source reward-score prior for sparse residual transport",
pending_job="14897123/14897126",
),
ResultSpec(
key="retrieval_residual_k4_mean_srcscorebonus002",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.20, source-score bonus 0.02",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p20_mean_by_type_srcscorebonus0p02_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="train-source reward-score prior for sparse residual transport",
pending_job="14897124/14897127",
),
ResultSpec(
key="retrieval_residual_k4_mean_srcscorebonus0025",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.20, source-score bonus 0.025",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p20_mean_by_type_srcscorebonus0p025_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="train-source reward-score prior for sparse residual transport",
pending_job="14897125/14897128",
),
ResultSpec(
key="retrieval_residual_taskrelative_k4_mean_noopbonus003",
label="K4 task-relative mean-by-type residual retrieval, scale 0.40, margin 0.20, no-op residual bonus 0.03",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_taskrelative_k4s040_safe_margin0p20_mean_by_type_noopbonus0p03_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="task-relative state metric for typed sparse-intervention prior",
pending_job="14893787/14893788",
),
ResultSpec(
key="retrieval_residual_k4_mean_noopbonus001",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.20, no-op residual bonus 0.01",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p20_mean_by_type_noopbonus0p01_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="typed sparse-intervention prior fine sweep",
pending_job="14884375/14884376",
),
ResultSpec(
key="retrieval_residual_k4_mean_noopbonus002",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.20, no-op residual bonus 0.02",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p20_mean_by_type_noopbonus0p02_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="typed sparse-intervention prior fine sweep",
pending_job="14884377/14884378",
),
ResultSpec(
key="retrieval_residual_k4_mean_noopbonus0025",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.20, no-op residual bonus 0.025",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p20_mean_by_type_noopbonus0p025_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="typed sparse-intervention prior fine sweep",
pending_job="14884379/14884380",
),
ResultSpec(
key="retrieval_residual_k4_mean_noopbonus0035",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.20, no-op residual bonus 0.035",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p20_mean_by_type_noopbonus0p035_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="typed sparse-intervention prior fine sweep",
pending_job="14884381/14884382",
),
ResultSpec(
key="retrieval_residual_k4_mean_wgbonus003",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.20, wrong-gripper residual bonus 0.03",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p20_mean_by_type_wgbonus0p03_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="wrong-gripper typed sparse-intervention prior diagnostic",
pending_job="14890071/14890072",
),
ResultSpec(
key="retrieval_residual_k4_mean_noop003_wg002",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.20, no-op 0.03 + wrong-gripper 0.02",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p20_mean_by_type_noop0p03_wg0p02_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="two-family typed sparse-intervention prior diagnostic",
pending_job="14890073/14890074",
),
ResultSpec(
key="retrieval_residual_k4_mean_noop003_wg004",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.20, no-op 0.03 + wrong-gripper 0.04",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p20_mean_by_type_noop0p03_wg0p04_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="two-family typed sparse-intervention prior diagnostic",
pending_job="14890075/14890076",
),
ResultSpec(
key="retrieval_residual_k4_mean_noop0025_wg002",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.20, no-op 0.025 + wrong-gripper 0.02",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p20_mean_by_type_noop0p025_wg0p02_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="two-family typed sparse-intervention prior diagnostic",
pending_job="14890077/14890078",
),
ResultSpec(
key="retrieval_residual_k4_mean_noopbonus005",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.20, no-op residual bonus 0.05",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p20_mean_by_type_noopbonus0p05_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="typed sparse-intervention prior diagnostic",
pending_job="14883921/14883922",
),
ResultSpec(
key="retrieval_residual_k4_mean_noopbonus008",
label="K4 mean-by-type residual retrieval, scale 0.40, margin 0.20, no-op residual bonus 0.08",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k4s040_safe_margin0p20_mean_by_type_noopbonus0p08_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="typed sparse-intervention prior diagnostic",
pending_job="14883923/14883924",
),
ResultSpec(
key="retrieval_residual_policy_anchor_scale035_safe",
label="Policy-relative train-state residual retrieval, scale 0.35, safe non-expert residuals",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_policy_anchor_scale0p35_safe_noexpert_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="policy-relative tangent anchor diagnostic",
pending_job="14862605/14862606",
),
ResultSpec(
key="retrieval_residual_scale030_safe_types",
label="Train-state residual retrieval, scale 0.30, policy/no-op/wrong-gripper residuals",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p30_safe_types_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="typed tangent scale zoom sweep",
pending_job="14859589/14859590",
),
ResultSpec(
key="retrieval_residual_scale0325_safe_types",
label="Train-state residual retrieval, scale 0.325, policy/no-op/wrong-gripper residuals",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p325_safe_types_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="typed tangent scale zoom sweep",
pending_job="14859591/14859592",
),
ResultSpec(
key="retrieval_residual_scale0375_safe_types",
label="Train-state residual retrieval, scale 0.375, policy/no-op/wrong-gripper residuals",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p375_safe_types_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="typed tangent scale zoom sweep",
pending_job="14859593/14859594",
),
ResultSpec(
key="retrieval_residual_scale040_safe_types",
label="Train-state residual retrieval, scale 0.40, policy/no-op/wrong-gripper residuals",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p40_safe_types_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="typed tangent scale zoom sweep",
pending_job="14859595/14859596",
),
ResultSpec(
key="retrieval_residual_scale045_safe_types",
label="Train-state residual retrieval, scale 0.45, policy/no-op/wrong-gripper residuals",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p45_safe_types_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="typed tangent scale fine sweep",
pending_job="14859505/14859506",
),
ResultSpec(
key="retrieval_residual_scale060_safe_types",
label="Train-state residual retrieval, scale 0.60, policy/no-op/wrong-gripper residuals",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p60_safe_types_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="typed tangent scale fine sweep",
pending_job="14859507/14859508",
),
ResultSpec(
key="retrieval_residual_scale070_safe_types",
label="Train-state residual retrieval, scale 0.70, policy/no-op/wrong-gripper residuals",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p70_safe_types_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="typed tangent scale fine sweep",
pending_job="14859509/14859510",
),
ResultSpec(
key="retrieval_residual_scale050_type_success010",
label="Train-state residual retrieval, scale 0.50, train family success >= 0.10",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_type_success0p10_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="train-split residual family reliability prior",
pending_job="14859293/14859294",
),
ResultSpec(
key="retrieval_residual_scale050_type_success025",
label="Train-state residual retrieval, scale 0.50, train family success >= 0.25",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_type_success0p25_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="train-split residual family reliability prior",
pending_job="14859295/14859296",
),
ResultSpec(
key="retrieval_residual_scale050_type_success050",
label="Train-state residual retrieval, scale 0.50, train family success >= 0.50",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_type_success0p50_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="train-split residual family reliability prior",
pending_job="14859398/14859399",
),
ResultSpec(
key="retrieval_residual_scale050_type_success075",
label="Train-state residual retrieval, scale 0.50, train family success >= 0.75",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_type_success0p75_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="train-split residual family reliability prior",
pending_job="14859400/14859401",
),
ResultSpec(
key="retrieval_residual_scale025_type_success025",
label="Train-state residual retrieval, scale 0.25, train family success >= 0.25",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p25_type_success0p25_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="train-split residual family reliability prior",
pending_job="14859297/14859298",
),
ResultSpec(
key="retrieval_residual_scale035_type_success010",
label="Train-state residual retrieval, scale 0.35, train family success >= 0.10",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p35_type_success010_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="repaired train-split reliability-prior diagnostic",
pending_job="14862609/14862610",
),
ResultSpec(
key="retrieval_residual_scale035_type_success025",
label="Train-state residual retrieval, scale 0.35, train family success >= 0.25",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p35_type_success025_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="repaired train-split reliability-prior diagnostic",
pending_job="14862611/14862612",
),
ResultSpec(
key="retrieval_residual_scale075",
label="Train-state residual retrieval, scale 0.75",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p75_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="tangent transport scale ablation",
pending_job="14858879/14858880",
),
ResultSpec(
key="retrieval_residual_scale125",
label="Train-state residual retrieval, scale 1.25",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale1p25_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="tangent transport scale ablation",
pending_job="14858881/14858882",
),
ResultSpec(
key="retrieval_residual_hybrid_k32",
label="Train-state residual + Gaussian proposals, K32 sigma0.35",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_hybrid_k32_sigma0p35_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="hybrid tangent/local proposal bridge",
pending_job="14859042/14859043",
),
ResultSpec(
key="retrieval_residual_hybrid_k64",
label="Train-state residual + Gaussian proposals, K64 sigma0.50",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_hybrid_k64_sigma0p50_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="hybrid tangent/local proposal bridge",
pending_job="14859044/14859045",
),
ResultSpec(
key="retrieval_residual_knn4",
label="KNN counterfactual residual retrieval",
path="h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_knn4_v2_summary.json",
clean_deployment="yes",
same_state_proposals="no",
expert_proposal="no",
story_role="KNN tangent proposal ablation",
pending_job="14857114/14857115/14857116",
),
ResultSpec(
key="near_miss_only_lattice",
label="Same-state lattice, near-miss only",
path="h16_lattice_near_miss_only_v2_summary.json",
clean_deployment="no",
same_state_proposals="yes",
expert_proposal="no",
story_role="minimal mechanism result",
fallback_success=0.5594,
),
ResultSpec(
key="no_expert_lattice",
label="Same-state lattice, no expert",
path="h16_lattice_no_expert_summary.json",
clean_deployment="no",
same_state_proposals="yes",
expert_proposal="no",
story_role="main conservative mechanism result",
fallback_success=0.5699,
),
ResultSpec(
key="no_expert_lattice_policy_baseline_margin000",
label="Same-state no-expert lattice with policy baseline candidate, margin 0.00",
path="h16_lattice_no_expert_policy_baseline_margin000_summary.json",
clean_deployment="no",
same_state_proposals="yes",
expert_proposal="no",
story_role="negative policy-baseline abstention diagnostic",
pending_job="14868661/14868662",
),
ResultSpec(
key="no_near_miss_no_expert_lattice",
label="Same-state lattice, no expert/no near-miss",
path="h16_lattice_no_near_miss_no_expert_v2_summary.json",
clean_deployment="no",
same_state_proposals="yes",
expert_proposal="no",
story_role="mechanism knockout",
fallback_success=0.2557,
),
ResultSpec(
key="full_lattice",
label="Same-state lattice, full",
path="h16_lattice_summary.json",
clean_deployment="no",
same_state_proposals="yes",
expert_proposal="yes",
story_role="upper result with expert proposal",
fallback_success=0.6933,
),
]
def main() -> int:
RESULTS_DIR.mkdir(exist_ok=True)
rows = [_row_for_spec(spec) for spec in SPECS]
payload = {
"baseline_h16_policy_success": BASELINE_H16_POLICY,
"rows": rows,
"best_clean": _best_row(rows, clean="yes"),
"best_mechanism_no_expert": _best_mechanism_row(rows),
"decision_notes": _decision_notes(rows),
}
json_path = RESULTS_DIR / "paper_table_status.json"
md_path = RESULTS_DIR / "paper_table_status.md"
json_path.write_text(json.dumps(payload, indent=2) + "\n")
md_path.write_text(_render_markdown(payload) + "\n")
print(f"Wrote {json_path}")
print(f"Wrote {md_path}")
return 0
def _row_for_spec(spec: ResultSpec) -> dict[str, Any]:
path = RESULTS_DIR / spec.path if spec.path else None
extracted = _extract_result(path) if path is not None and path.exists() else {}
success = extracted.get("success", spec.fallback_success)
if spec.clean_deployment == "diagnostic":
success = extracted.get("candidate_oracle_success", success)
path_exists = bool(path is not None and path.exists())
status = "complete" if path_exists and success is not None else (
"fallback" if success is not None else "pending"
)
return {
**asdict(spec),
"path_exists": path_exists,
"status": status,
"success": success,
"std_success": extracted.get("std_success"),
"completed_seeds": extracted.get("completed_seeds"),
"num_completed": extracted.get("num_completed"),
"best_config": extracted.get("best_config"),
"gain_vs_h16_policy": (success - BASELINE_H16_POLICY) if success is not None else None,
}
def _extract_result(path: Path) -> dict[str, Any]:
data = json.loads(path.read_text())
output: dict[str, Any] = {}
if "mean_success" in data:
output["std_success"] = _float_or_none(data.get("std_success"))
output["num_completed"] = data.get("num_completed")
output["candidate_oracle_success"] = _float_or_none(
data.get("mean_candidate_oracle_success_rate")
)
if int(data.get("num_completed") or 0) > 0:
output["success"] = _float_or_none(data.get("mean_success"))
elif isinstance(data.get("best"), dict):
best = data["best"]
output["std_success"] = _float_or_none(best.get("std_success"))
output["completed_seeds"] = best.get("completed_seeds")
output["num_completed"] = best.get("num_completed")
output["best_config"] = best.get("config")
if int(best.get("num_completed") or 0) > 0:
output["success"] = _float_or_none(best.get("mean_success"))
elif "policy_rollout_success_rate" in data:
output["num_completed"] = data.get("num_groups")
if int(data.get("num_groups") or 0) > 0:
output["success"] = _float_or_none(data.get("policy_rollout_success_rate"))
return output
def _float_or_none(value: Any) -> float | None:
if value is None:
return None
try:
return float(value)
except (TypeError, ValueError):
return None
def _best_row(rows: list[dict[str, Any]], *, clean: str) -> dict[str, Any] | None:
completed = [
row
for row in rows
if row["clean_deployment"] == clean and row["success"] is not None
]
return max(completed, key=lambda row: row["success"]) if completed else None
def _best_mechanism_row(rows: list[dict[str, Any]]) -> dict[str, Any] | None:
candidates = [
row
for row in rows
if row["same_state_proposals"] == "yes"
and row["expert_proposal"] == "no"
and row["success"] is not None
]
return max(candidates, key=lambda row: row["success"]) if candidates else None
def _decision_notes(rows: list[dict[str, Any]]) -> list[str]:
by_key = {row["key"]: row for row in rows}
notes = [
"Use no-expert same-state lattice as the conservative mechanism result, not as deployment-clean inference.",
"Use full lattice only as an upper result because it includes expert proposals.",
"Do not claim external SOTA from this table alone; add current external baselines separately.",
]
clean_best = _best_row(rows, clean="yes")
if clean_best is not None:
notes.append(
"Current best clean deployment row is "
f"{clean_best['label']} at {_fmt_percent(clean_best['success'])}."
)
for key in (
"field_optim",
"retrieval_residual",
"retrieval_residual_knn4",
"retrieval_residual_k4_scale040_safe_margin020_mean_by_type",
):
row = by_key[key]
if row["success"] is None:
notes.append(f"{row['label']} is pending ({row['pending_job']}).")
elif row["success"] >= 0.40:
notes.append(f"{row['label']} is strong enough to promote as a clean bridge.")
elif row["success"] > 0.3293:
notes.append(f"{row['label']} improves the clean bridge but is not yet the main result.")
elif row["success"] > BASELINE_H16_POLICY:
notes.append(
f"{row['label']} is a positive clean bridge but remains below the current clean best."
)
else:
notes.append(f"{row['label']} should be framed as a negative/diagnostic ablation.")
policy_baseline = by_key["no_expert_lattice_policy_baseline_margin000"]
no_expert = by_key["no_expert_lattice"]
if policy_baseline["success"] is not None and no_expert["success"] is not None:
notes.append(
"Policy-baseline abstention inside the same-state no-expert lattice drops from "
f"{_fmt_percent(no_expert['success'])} to {_fmt_percent(policy_baseline['success'])}, "
"so the mechanism result should emphasize counterfactual proposal geometry rather than policy fallback."
)
nm_ties = [
by_key["retrieval_residual_k4_composemasked_dropnmnoop_grid035040045_noopbonus003_nmbonus001"],
by_key["retrieval_residual_k4_composemasked_dropnmnoop_grid035040045_noopbonus003_nmbonus002"],
]
if clean_best is not None and all(row["success"] is not None for row in nm_ties):
if all(abs(row["success"] - clean_best["success"]) < 1.0e-12 for row in nm_ties):
notes.append(
"Singleton near-miss priors 0.01/0.02 tie the clean best rather than improving it; "
"the compatible chart preserves high-precision near-miss tangents, but they remain sparse."
)
oracle_prefix = by_key[
"retrieval_residual_k4_composemasked_dropnmnoop_grid035040045_noopbonus003_oraclek8"
]
if oracle_prefix["success"] is not None:
notes.append(
"Candidate-oracle prefix K=8 is diagnostic-only; compare it to the clean selected row "
"to decide whether the next paper move should be proposal generation or field ranking."
)
oracle_trace = by_key[
"retrieval_residual_k4_composemasked_dropnmnoop_grid035040045_noopbonus003_oraclek8trace"
]
if oracle_trace["success"] is not None:
notes.append(
"Candidate-oracle branch trace is diagnostic-only; use its rank histogram and branch "
"success profile to design one clean selector-calibration run rather than a broad sweep."
)
return notes
def _render_markdown(payload: dict[str, Any]) -> str:
lines = [
"# Paper Table Status",
"",
f"Baseline h=16 policy: {_fmt_percent(payload['baseline_h16_policy_success'])}",
"",
"| key | method | status | success | gain vs h16 | clean | same-state props | expert prop | role |",
"|---|---|---|---:|---:|---|---|---|---|",
]
for row in payload["rows"]:
lines.append(
"| {key} | {label} | {status} | {success} | {gain} | {clean} | {same} | {expert} | {role} |".format(
key=row["key"],
label=row["label"],
status=_status_text(row),
success=_fmt_percent(row["success"]),
gain=_fmt_signed_percent(row["gain_vs_h16_policy"]),
clean=row["clean_deployment"],
same=row["same_state_proposals"],
expert=row["expert_proposal"],
role=row["story_role"],
)
)
lines.extend(["", "## Decision Notes", ""])
for note in payload["decision_notes"]:
lines.append(f"- {note}")
return "\n".join(lines)
def _status_text(row: dict[str, Any]) -> str:
if row["status"] == "pending":
return f"pending {row['pending_job']}".strip()
if row["status"] == "fallback":
return "fallback canonical"
if row.get("best_config"):
return f"complete {row['best_config']}"
return "complete"
def _fmt_percent(value: float | None) -> str:
return "pending" if value is None else f"{100.0 * value:.2f}%"
def _fmt_signed_percent(value: float | None) -> str:
return "pending" if value is None else f"{100.0 * value:+.2f} pp"
if __name__ == "__main__":
raise SystemExit(main())