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@@ -366,3 +366,30 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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20260526_135525/nas_best.json

@@ -0,0 +1,154 @@
+{
+  "_meta": {
+    "name": "nas_best_t096",
+    "version": "NxonArchNAS v0.8 (v189)",
+    "description": "Architecture found by NAS \u2014 trial 96, fitness 7.8300. Plug-and-play compatible with architectures/default.json: drop this file into architectures/ or load with NEURAXON_ARCH=path/to/this.json python main.py",
+    "source": "NxonArchNAS",
+    "rank": 1,
+    "trial_id": 96,
+    "fitness": 7.830040717274205,
+    "saved_at": "2026-05-26T21:26:25",
+    "notes": [
+      "Sections inherited from default.json:  healthy_bands (unchanged target ranges)",
+      "Sections overridden by NAS:  biology, neural, operating_ranges, genetic_lottery",
+      "Load with NEURAXON_ARCH=path/to/this.json python main.py"
+    ]
+  },
+  "biology": {
+    "_doc": "Game-world / bio-inspired dynamics. Independent of neural architecture \u2014 change these to study survival pressure without touching the brain.",
+    "metabolic_ramp_per_sec": 5.607524555447467,
+    "_doc_metabolic_ramp_per_sec": "Multiplier added to food drain and metabolic_rate per second of idle. With 1s idle \u2192 factor (1 + 10*1) = 11\u00d7. Capped by max_atrophy.",
+    "max_atrophy": 14.29102234693024,
+    "_doc_max_atrophy": "Hard cap on the atrophy multiplier (v151 fix). 5.0 = max 5\u00d7 normal drain even after extended idle.",
+    "metabolic_rate_abs_cap_multiple": 34.98268525701871,
+    "_doc_metabolic_rate_abs_cap_multiple": "Absolute ceiling on the per-NxEr metabolic_rate, expressed as a multiple of the initial value (v153 F-1).",
+    "start_food_default": 25.0,
+    "food_respawn_default": 400,
+    "food_sources_default": 50,
+    "_doc_food": "Defaults if the user doesn't change them via the menu sliders. The menu still overrides at startup.",
+    "mate_cooldown_seconds": 9,
+    "circadian_cycle_ticks": 950,
+    "idle_explore_seconds": 0.9249062825817924,
+    "explore_probability": 0.24731594287129627,
+    "_doc_idle_explore": "v152 idle-exploration safety net. If an NxEr has been idle \u2265 idle_explore_seconds, with explore_probability per tick, override motor output with a random direction."
+  },
+  "neural": {
+    "_doc": "Network architecture (topology + per-neuron parameters). Change these to test different brain configurations.",
+    "num_input_neurons": 10,
+    "num_output_neurons": 7,
+    "num_hidden_neurons_default": 23,
+    "_doc_neuron_counts": "Inputs: 10 sensory channels (movement, encounter, terrain, hunger, sight, smell, daynight, temp, proprio, song). Outputs: 7 motor (MoveX, MoveY, Social, MateIntent, GiveFood, Resting, Sing).",
+    "connection_probability": 0.232335309964054,
+    "afferent_synapse_strength": 1.3500268337383088,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.5843284834924594,
+    "firing_threshold_inhibitory": -0.6719714779349272,
+    "spontaneous_firing_rate": 0.029566217960819645,
+    "intrinsic_timescale_default": 21.019785796965316,
+    "resting_potential_decay": 0.2451616252850634,
+    "sensorimotor_coupling": 0.5136018691673769,
+    "_doc_sensorimotor_coupling": "v164 \u2014 multiplier on input\u2192output direct-edge probability. 0.0 = pre-v164 (uniform random links). 1.0 = 2x more sensory\u2192motor connections. 3.0 = 4x. The fitness component sensory_motor_corr was stuck near zero in 1425 v163 trials because there was no architectural bias for sensory pathways. Boost this and plasticity will amplify the correlations.",
+    "symmetric_stdp": true,
+    "_doc_symmetric_stdp": "v169 (v4.77) \u2014 opt-in for MultiNeuraxon2 Bug #3 fix. False (default) preserves v161-v168 asymmetric STDP where state==-1 is invisible to plasticity (only +1-driven correlations strengthen synapses). True enables signed STDP traces + symmetric (-1,-1) \u2192 LTP and (-1,+1) \u2192 LTD branches. Hypothesised to address the input saturation root cause we worked around with sm_corr_peak in v165. NAS will A/B test it.",
+    "refractory_period_ticks": 4,
+    "_doc_refractory_period_ticks": "v171 (v4.79) \u2014 number of ticks a neuron is FORCED to state=0 after each firing event (0\u2192\u00b11 transition). 0 = no refractory (v161-v170 behaviour). The v170 @2400s membrane diagnostics showed only 0.6% of samples at state=0 \u2014 the network had become a bistable +1/-1 oscillator with no rest band. The paper's trinary firing model REQUIRES a meaningful 0 state. This parameter restores it. NAS searches 0-12 ticks; biologically realistic values are 1-5 (~ 1-5 game ticks at 10Hz). The membrane potential continues to evolve during refractory so the neuron can fire again immediately after the buffer expires.",
+    "post_spike_mp_reset": 0.020597151760892052,
+    "_doc_post_spike_mp_reset": "v172 (v4.80) \u2014 after-hyperpolarization (AHP). Fraction by which membrane_potential is pulled toward 0 after each firing event (0\u2192\u00b11). 0.0 = no reset (v171 behaviour). 1.0 = full reset to mp=0. Combined with refractory_period_ticks, restores the paper's intended trinary dynamics: refractory holds state=0 for N ticks while mp drops back to rest band, then state stays at 0 NATURALLY until inputs push mp past threshold again (rather than immediately re-firing). v171 found refract=1 alone only achieved 0.3% state=0 because mp stayed saturated past threshold; this parameter fixes that by snapping mp back to the rest band. NAS searches 0.0-1.0.",
+    "_doc_thresholds": "Membrane firing thresholds (above which trinary_state = +1, below -threshold = -1). The membrane potential is a low-pass filter with intrinsic_timescale ticks. resting_potential_decay multiplies mp by (1-this) each tick before the membrane equation update.",
+    "sphere_topology": "chc6",
+    "cross_sphere_coupling": 1.9533899324567996,
+    "cryst_capacity": 2.033918001832622,
+    "free_energy_beta": 1.199813231302944
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.032251081457373626,
+    "plasticity_threshold": 0.3324891419573479,
+    "adaptation_tau_ticks": 40.84089475177861,
+    "adaptation_target_excitatory_multiplier": 1.5,
+    "adaptation_target_inhibitory_multiplier": 1.0,
+    "_doc_adaptation": "v149: adapt builds toward 0.55 \u00d7 multiplier when firing. Tau=20 ticks. Excitatory uses 1.5\u00d7 to bias the brake against +1 dominance.",
+    "autoreceptor_coefficient": 0.23970937079407834,
+    "autoreceptor_tau_ticks": 150.0,
+    "autoreceptor_rate_coeff": 0.35,
+    "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
+    "sensory_boost_function": "tanh",
+    "sensory_boost_scale": 1.0,
+    "_doc_sensory_boost": "v152 saturating cap: boosted_external = scale * tanh(scale * external_input). Asymptote = scale. 1.0 keeps strong inputs near threshold; lowering compresses further.",
+    "plasticity_brake_threshold": 0.5,
+    "plasticity_brake_slope": 1.8,
+    "plasticity_brake_floor": 0.1,
+    "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold)).",
+    "fitness_g_weight": 0.6389911922088705
+  },
+  "genetic_lottery": {
+    "_doc": "v162 \u2014 per-NxEr trait variation at birth. Each NxEr samples its own value from these ranges, creating the genetic diversity that selection acts on (the missing ingredient that kept M10 heritability at 0 across all 743 v161 NAS trials). Inheritance + mutation at mating carries traits across generations.",
+    "metabolic_rate_multiplier_range": [
+      0.7743133210476406,
+      1.3949402056639464
+    ],
+    "_doc_metabolic_rate_multiplier_range": "At birth each NxEr samples a multiplier uniformly from this range and applies it to its base metabolic_rate. [0.85, 1.15] means \u00b115% variation. Wider = more diversity but also more individuals at survival extremes.",
+    "intrinsic_timescale_jitter": 2.6808222248204387,
+    "_doc_intrinsic_timescale_jitter": "At birth each NxEr adds a uniform random value in [-jitter, +jitter] to intrinsic_timescale_default. 0.0 = no per-NxEr variation (all neurons in all NxErs have same timescale).",
+    "firing_threshold_jitter": 0.14349752549316075,
+    "_doc_firing_threshold_jitter": "Same idea for firing_threshold_excitatory / inhibitory. 0.04 = \u00b10.04 around the architecture default of 0.55. 0.0 = no per-NxEr variation.",
+    "mutation_strength": 0.08278282636280454,
+    "_doc_mutation_strength": "When offspring inherit a genetic trait from a parent, the value is perturbed by \u00b1mutation_strength \u00d7 (parent_value). 0.05 = 5% perturbation. 0 = exact copy."
+  },
+  "healthy_bands": {
+    "_doc": "Target ranges shown on the dashboard. NxErs operating in these bands are coloured green.",
+    "M1_excitatory_fraction": [
+      0.18,
+      0.28
+    ],
+    "M2_mean_gate": [
+      0.4,
+      0.85
+    ],
+    "M3_pac_modulation_idx": [
+      0.005,
+      0.1
+    ],
+    "M5_branching_ratio": [
+      0.92,
+      1.1
+    ],
+    "M6_spontaneous_fraction": [
+      0.1,
+      0.45
+    ],
+    "M7_zero_input_mi_ratio": [
+      0.4,
+      1.2
+    ],
+    "M9_transfer_ratio": [
+      0.85,
+      1.3
+    ],
+    "M10_heritability_r": [
+      0.2,
+      1.0
+    ],
+    "sensory_motor_corr": [
+      0.2,
+      1.0
+    ],
+    "pop_mean_idle_seconds": [
+      0.0,
+      1.5
+    ],
+    "input_saturation_fraction": [
+      0.0,
+      0.3
+    ],
+    "input_locked_fraction": [
+      0.0,
+      0.2
+    ],
+    "exploration_trigger_rate": [
+      0.01,
+      0.4
+    ]
+  }
+}

20260526_135525/nas_top1.json

@@ -0,0 +1,154 @@
+{
+  "_meta": {
+    "name": "nas_best_t096",
+    "version": "NxonArchNAS v0.8 (v189)",
+    "description": "Architecture found by NAS \u2014 trial 96, fitness 7.8300. Plug-and-play compatible with architectures/default.json: drop this file into architectures/ or load with NEURAXON_ARCH=path/to/this.json python main.py",
+    "source": "NxonArchNAS",
+    "rank": 1,
+    "trial_id": 96,
+    "fitness": 7.830040717274205,
+    "saved_at": "2026-05-26T22:26:25",
+    "notes": [
+      "Sections inherited from default.json:  healthy_bands (unchanged target ranges)",
+      "Sections overridden by NAS:  biology, neural, operating_ranges, genetic_lottery",
+      "Load with NEURAXON_ARCH=path/to/this.json python main.py"
+    ]
+  },
+  "biology": {
+    "_doc": "Game-world / bio-inspired dynamics. Independent of neural architecture \u2014 change these to study survival pressure without touching the brain.",
+    "metabolic_ramp_per_sec": 5.607524555447467,
+    "_doc_metabolic_ramp_per_sec": "Multiplier added to food drain and metabolic_rate per second of idle. With 1s idle \u2192 factor (1 + 10*1) = 11\u00d7. Capped by max_atrophy.",
+    "max_atrophy": 14.29102234693024,
+    "_doc_max_atrophy": "Hard cap on the atrophy multiplier (v151 fix). 5.0 = max 5\u00d7 normal drain even after extended idle.",
+    "metabolic_rate_abs_cap_multiple": 34.98268525701871,
+    "_doc_metabolic_rate_abs_cap_multiple": "Absolute ceiling on the per-NxEr metabolic_rate, expressed as a multiple of the initial value (v153 F-1).",
+    "start_food_default": 25.0,
+    "food_respawn_default": 400,
+    "food_sources_default": 50,
+    "_doc_food": "Defaults if the user doesn't change them via the menu sliders. The menu still overrides at startup.",
+    "mate_cooldown_seconds": 9,
+    "circadian_cycle_ticks": 950,
+    "idle_explore_seconds": 0.9249062825817924,
+    "explore_probability": 0.24731594287129627,
+    "_doc_idle_explore": "v152 idle-exploration safety net. If an NxEr has been idle \u2265 idle_explore_seconds, with explore_probability per tick, override motor output with a random direction."
+  },
+  "neural": {
+    "_doc": "Network architecture (topology + per-neuron parameters). Change these to test different brain configurations.",
+    "num_input_neurons": 10,
+    "num_output_neurons": 7,
+    "num_hidden_neurons_default": 23,
+    "_doc_neuron_counts": "Inputs: 10 sensory channels (movement, encounter, terrain, hunger, sight, smell, daynight, temp, proprio, song). Outputs: 7 motor (MoveX, MoveY, Social, MateIntent, GiveFood, Resting, Sing).",
+    "connection_probability": 0.232335309964054,
+    "afferent_synapse_strength": 1.3500268337383088,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.5843284834924594,
+    "firing_threshold_inhibitory": -0.6719714779349272,
+    "spontaneous_firing_rate": 0.029566217960819645,
+    "intrinsic_timescale_default": 21.019785796965316,
+    "resting_potential_decay": 0.2451616252850634,
+    "sensorimotor_coupling": 0.5136018691673769,
+    "_doc_sensorimotor_coupling": "v164 \u2014 multiplier on input\u2192output direct-edge probability. 0.0 = pre-v164 (uniform random links). 1.0 = 2x more sensory\u2192motor connections. 3.0 = 4x. The fitness component sensory_motor_corr was stuck near zero in 1425 v163 trials because there was no architectural bias for sensory pathways. Boost this and plasticity will amplify the correlations.",
+    "symmetric_stdp": true,
+    "_doc_symmetric_stdp": "v169 (v4.77) \u2014 opt-in for MultiNeuraxon2 Bug #3 fix. False (default) preserves v161-v168 asymmetric STDP where state==-1 is invisible to plasticity (only +1-driven correlations strengthen synapses). True enables signed STDP traces + symmetric (-1,-1) \u2192 LTP and (-1,+1) \u2192 LTD branches. Hypothesised to address the input saturation root cause we worked around with sm_corr_peak in v165. NAS will A/B test it.",
+    "refractory_period_ticks": 4,
+    "_doc_refractory_period_ticks": "v171 (v4.79) \u2014 number of ticks a neuron is FORCED to state=0 after each firing event (0\u2192\u00b11 transition). 0 = no refractory (v161-v170 behaviour). The v170 @2400s membrane diagnostics showed only 0.6% of samples at state=0 \u2014 the network had become a bistable +1/-1 oscillator with no rest band. The paper's trinary firing model REQUIRES a meaningful 0 state. This parameter restores it. NAS searches 0-12 ticks; biologically realistic values are 1-5 (~ 1-5 game ticks at 10Hz). The membrane potential continues to evolve during refractory so the neuron can fire again immediately after the buffer expires.",
+    "post_spike_mp_reset": 0.020597151760892052,
+    "_doc_post_spike_mp_reset": "v172 (v4.80) \u2014 after-hyperpolarization (AHP). Fraction by which membrane_potential is pulled toward 0 after each firing event (0\u2192\u00b11). 0.0 = no reset (v171 behaviour). 1.0 = full reset to mp=0. Combined with refractory_period_ticks, restores the paper's intended trinary dynamics: refractory holds state=0 for N ticks while mp drops back to rest band, then state stays at 0 NATURALLY until inputs push mp past threshold again (rather than immediately re-firing). v171 found refract=1 alone only achieved 0.3% state=0 because mp stayed saturated past threshold; this parameter fixes that by snapping mp back to the rest band. NAS searches 0.0-1.0.",
+    "_doc_thresholds": "Membrane firing thresholds (above which trinary_state = +1, below -threshold = -1). The membrane potential is a low-pass filter with intrinsic_timescale ticks. resting_potential_decay multiplies mp by (1-this) each tick before the membrane equation update.",
+    "sphere_topology": "chc6",
+    "cross_sphere_coupling": 1.9533899324567996,
+    "cryst_capacity": 2.033918001832622,
+    "free_energy_beta": 1.199813231302944
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.032251081457373626,
+    "plasticity_threshold": 0.3324891419573479,
+    "adaptation_tau_ticks": 40.84089475177861,
+    "adaptation_target_excitatory_multiplier": 1.5,
+    "adaptation_target_inhibitory_multiplier": 1.0,
+    "_doc_adaptation": "v149: adapt builds toward 0.55 \u00d7 multiplier when firing. Tau=20 ticks. Excitatory uses 1.5\u00d7 to bias the brake against +1 dominance.",
+    "autoreceptor_coefficient": 0.23970937079407834,
+    "autoreceptor_tau_ticks": 150.0,
+    "autoreceptor_rate_coeff": 0.35,
+    "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
+    "sensory_boost_function": "tanh",
+    "sensory_boost_scale": 1.0,
+    "_doc_sensory_boost": "v152 saturating cap: boosted_external = scale * tanh(scale * external_input). Asymptote = scale. 1.0 keeps strong inputs near threshold; lowering compresses further.",
+    "plasticity_brake_threshold": 0.5,
+    "plasticity_brake_slope": 1.8,
+    "plasticity_brake_floor": 0.1,
+    "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold)).",
+    "fitness_g_weight": 0.6389911922088705
+  },
+  "genetic_lottery": {
+    "_doc": "v162 \u2014 per-NxEr trait variation at birth. Each NxEr samples its own value from these ranges, creating the genetic diversity that selection acts on (the missing ingredient that kept M10 heritability at 0 across all 743 v161 NAS trials). Inheritance + mutation at mating carries traits across generations.",
+    "metabolic_rate_multiplier_range": [
+      0.7743133210476406,
+      1.3949402056639464
+    ],
+    "_doc_metabolic_rate_multiplier_range": "At birth each NxEr samples a multiplier uniformly from this range and applies it to its base metabolic_rate. [0.85, 1.15] means \u00b115% variation. Wider = more diversity but also more individuals at survival extremes.",
+    "intrinsic_timescale_jitter": 2.6808222248204387,
+    "_doc_intrinsic_timescale_jitter": "At birth each NxEr adds a uniform random value in [-jitter, +jitter] to intrinsic_timescale_default. 0.0 = no per-NxEr variation (all neurons in all NxErs have same timescale).",
+    "firing_threshold_jitter": 0.14349752549316075,
+    "_doc_firing_threshold_jitter": "Same idea for firing_threshold_excitatory / inhibitory. 0.04 = \u00b10.04 around the architecture default of 0.55. 0.0 = no per-NxEr variation.",
+    "mutation_strength": 0.08278282636280454,
+    "_doc_mutation_strength": "When offspring inherit a genetic trait from a parent, the value is perturbed by \u00b1mutation_strength \u00d7 (parent_value). 0.05 = 5% perturbation. 0 = exact copy."
+  },
+  "healthy_bands": {
+    "_doc": "Target ranges shown on the dashboard. NxErs operating in these bands are coloured green.",
+    "M1_excitatory_fraction": [
+      0.18,
+      0.28
+    ],
+    "M2_mean_gate": [
+      0.4,
+      0.85
+    ],
+    "M3_pac_modulation_idx": [
+      0.005,
+      0.1
+    ],
+    "M5_branching_ratio": [
+      0.92,
+      1.1
+    ],
+    "M6_spontaneous_fraction": [
+      0.1,
+      0.45
+    ],
+    "M7_zero_input_mi_ratio": [
+      0.4,
+      1.2
+    ],
+    "M9_transfer_ratio": [
+      0.85,
+      1.3
+    ],
+    "M10_heritability_r": [
+      0.2,
+      1.0
+    ],
+    "sensory_motor_corr": [
+      0.2,
+      1.0
+    ],
+    "pop_mean_idle_seconds": [
+      0.0,
+      1.5
+    ],
+    "input_saturation_fraction": [
+      0.0,
+      0.3
+    ],
+    "input_locked_fraction": [
+      0.0,
+      0.2
+    ],
+    "exploration_trigger_rate": [
+      0.01,
+      0.4
+    ]
+  }
+}

20260526_135525/nas_top2.json

@@ -0,0 +1,154 @@
+{
+  "_meta": {
+    "name": "nas_best_t036",
+    "version": "NxonArchNAS v0.8 (v189)",
+    "description": "Architecture found by NAS \u2014 trial 36, fitness 7.8147. Plug-and-play compatible with architectures/default.json: drop this file into architectures/ or load with NEURAXON_ARCH=path/to/this.json python main.py",
+    "source": "NxonArchNAS",
+    "rank": 2,
+    "trial_id": 36,
+    "fitness": 7.814694355016388,
+    "saved_at": "2026-05-26T22:26:25",
+    "notes": [
+      "Sections inherited from default.json:  healthy_bands (unchanged target ranges)",
+      "Sections overridden by NAS:  biology, neural, operating_ranges, genetic_lottery",
+      "Load with NEURAXON_ARCH=path/to/this.json python main.py"
+    ]
+  },
+  "biology": {
+    "_doc": "Game-world / bio-inspired dynamics. Independent of neural architecture \u2014 change these to study survival pressure without touching the brain.",
+    "metabolic_ramp_per_sec": 16.133474952293493,
+    "_doc_metabolic_ramp_per_sec": "Multiplier added to food drain and metabolic_rate per second of idle. With 1s idle \u2192 factor (1 + 10*1) = 11\u00d7. Capped by max_atrophy.",
+    "max_atrophy": 3.600328695960593,
+    "_doc_max_atrophy": "Hard cap on the atrophy multiplier (v151 fix). 5.0 = max 5\u00d7 normal drain even after extended idle.",
+    "metabolic_rate_abs_cap_multiple": 47.230665714499246,
+    "_doc_metabolic_rate_abs_cap_multiple": "Absolute ceiling on the per-NxEr metabolic_rate, expressed as a multiple of the initial value (v153 F-1).",
+    "start_food_default": 25.0,
+    "food_respawn_default": 400,
+    "food_sources_default": 50,
+    "_doc_food": "Defaults if the user doesn't change them via the menu sliders. The menu still overrides at startup.",
+    "mate_cooldown_seconds": 13,
+    "circadian_cycle_ticks": 977,
+    "idle_explore_seconds": 0.4094774833525058,
+    "explore_probability": 0.2489489165191479,
+    "_doc_idle_explore": "v152 idle-exploration safety net. If an NxEr has been idle \u2265 idle_explore_seconds, with explore_probability per tick, override motor output with a random direction."
+  },
+  "neural": {
+    "_doc": "Network architecture (topology + per-neuron parameters). Change these to test different brain configurations.",
+    "num_input_neurons": 10,
+    "num_output_neurons": 7,
+    "num_hidden_neurons_default": 19,
+    "_doc_neuron_counts": "Inputs: 10 sensory channels (movement, encounter, terrain, hunger, sight, smell, daynight, temp, proprio, song). Outputs: 7 motor (MoveX, MoveY, Social, MateIntent, GiveFood, Resting, Sing).",
+    "connection_probability": 0.29569851146729886,
+    "afferent_synapse_strength": 1.130453024037335,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.48195005330943086,
+    "firing_threshold_inhibitory": -0.4735170568994888,
+    "spontaneous_firing_rate": 0.00685519700730214,
+    "intrinsic_timescale_default": 17.458099934753587,
+    "resting_potential_decay": 0.1708116175201123,
+    "sensorimotor_coupling": 2.035458764280399,
+    "_doc_sensorimotor_coupling": "v164 \u2014 multiplier on input\u2192output direct-edge probability. 0.0 = pre-v164 (uniform random links). 1.0 = 2x more sensory\u2192motor connections. 3.0 = 4x. The fitness component sensory_motor_corr was stuck near zero in 1425 v163 trials because there was no architectural bias for sensory pathways. Boost this and plasticity will amplify the correlations.",
+    "symmetric_stdp": true,
+    "_doc_symmetric_stdp": "v169 (v4.77) \u2014 opt-in for MultiNeuraxon2 Bug #3 fix. False (default) preserves v161-v168 asymmetric STDP where state==-1 is invisible to plasticity (only +1-driven correlations strengthen synapses). True enables signed STDP traces + symmetric (-1,-1) \u2192 LTP and (-1,+1) \u2192 LTD branches. Hypothesised to address the input saturation root cause we worked around with sm_corr_peak in v165. NAS will A/B test it.",
+    "refractory_period_ticks": 4,
+    "_doc_refractory_period_ticks": "v171 (v4.79) \u2014 number of ticks a neuron is FORCED to state=0 after each firing event (0\u2192\u00b11 transition). 0 = no refractory (v161-v170 behaviour). The v170 @2400s membrane diagnostics showed only 0.6% of samples at state=0 \u2014 the network had become a bistable +1/-1 oscillator with no rest band. The paper's trinary firing model REQUIRES a meaningful 0 state. This parameter restores it. NAS searches 0-12 ticks; biologically realistic values are 1-5 (~ 1-5 game ticks at 10Hz). The membrane potential continues to evolve during refractory so the neuron can fire again immediately after the buffer expires.",
+    "post_spike_mp_reset": 0.3335662793681748,
+    "_doc_post_spike_mp_reset": "v172 (v4.80) \u2014 after-hyperpolarization (AHP). Fraction by which membrane_potential is pulled toward 0 after each firing event (0\u2192\u00b11). 0.0 = no reset (v171 behaviour). 1.0 = full reset to mp=0. Combined with refractory_period_ticks, restores the paper's intended trinary dynamics: refractory holds state=0 for N ticks while mp drops back to rest band, then state stays at 0 NATURALLY until inputs push mp past threshold again (rather than immediately re-firing). v171 found refract=1 alone only achieved 0.3% state=0 because mp stayed saturated past threshold; this parameter fixes that by snapping mp back to the rest band. NAS searches 0.0-1.0.",
+    "_doc_thresholds": "Membrane firing thresholds (above which trinary_state = +1, below -threshold = -1). The membrane potential is a low-pass filter with intrinsic_timescale ticks. resting_potential_decay multiplies mp by (1-this) each tick before the membrane equation update.",
+    "sphere_topology": "chc6",
+    "cross_sphere_coupling": 2.835972261679932,
+    "cryst_capacity": 2.0346990546172083,
+    "free_energy_beta": 1.599073522794121
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.002314838750907513,
+    "plasticity_threshold": 0.45810535843505157,
+    "adaptation_tau_ticks": 10.307483435995316,
+    "adaptation_target_excitatory_multiplier": 1.5,
+    "adaptation_target_inhibitory_multiplier": 1.0,
+    "_doc_adaptation": "v149: adapt builds toward 0.55 \u00d7 multiplier when firing. Tau=20 ticks. Excitatory uses 1.5\u00d7 to bias the brake against +1 dominance.",
+    "autoreceptor_coefficient": 0.1698649913888901,
+    "autoreceptor_tau_ticks": 150.0,
+    "autoreceptor_rate_coeff": 0.35,
+    "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
+    "sensory_boost_function": "tanh",
+    "sensory_boost_scale": 1.0,
+    "_doc_sensory_boost": "v152 saturating cap: boosted_external = scale * tanh(scale * external_input). Asymptote = scale. 1.0 keeps strong inputs near threshold; lowering compresses further.",
+    "plasticity_brake_threshold": 0.5,
+    "plasticity_brake_slope": 1.8,
+    "plasticity_brake_floor": 0.1,
+    "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold)).",
+    "fitness_g_weight": 0.2894471312174376
+  },
+  "genetic_lottery": {
+    "_doc": "v162 \u2014 per-NxEr trait variation at birth. Each NxEr samples its own value from these ranges, creating the genetic diversity that selection acts on (the missing ingredient that kept M10 heritability at 0 across all 743 v161 NAS trials). Inheritance + mutation at mating carries traits across generations.",
+    "metabolic_rate_multiplier_range": [
+      0.6419945202969422,
+      1.3235619307373299
+    ],
+    "_doc_metabolic_rate_multiplier_range": "At birth each NxEr samples a multiplier uniformly from this range and applies it to its base metabolic_rate. [0.85, 1.15] means \u00b115% variation. Wider = more diversity but also more individuals at survival extremes.",
+    "intrinsic_timescale_jitter": 3.4452400908288237,
+    "_doc_intrinsic_timescale_jitter": "At birth each NxEr adds a uniform random value in [-jitter, +jitter] to intrinsic_timescale_default. 0.0 = no per-NxEr variation (all neurons in all NxErs have same timescale).",
+    "firing_threshold_jitter": 0.019377855263882242,
+    "_doc_firing_threshold_jitter": "Same idea for firing_threshold_excitatory / inhibitory. 0.04 = \u00b10.04 around the architecture default of 0.55. 0.0 = no per-NxEr variation.",
+    "mutation_strength": 0.0892357052227651,
+    "_doc_mutation_strength": "When offspring inherit a genetic trait from a parent, the value is perturbed by \u00b1mutation_strength \u00d7 (parent_value). 0.05 = 5% perturbation. 0 = exact copy."
+  },
+  "healthy_bands": {
+    "_doc": "Target ranges shown on the dashboard. NxErs operating in these bands are coloured green.",
+    "M1_excitatory_fraction": [
+      0.18,
+      0.28
+    ],
+    "M2_mean_gate": [
+      0.4,
+      0.85
+    ],
+    "M3_pac_modulation_idx": [
+      0.005,
+      0.1
+    ],
+    "M5_branching_ratio": [
+      0.92,
+      1.1
+    ],
+    "M6_spontaneous_fraction": [
+      0.1,
+      0.45
+    ],
+    "M7_zero_input_mi_ratio": [
+      0.4,
+      1.2
+    ],
+    "M9_transfer_ratio": [
+      0.85,
+      1.3
+    ],
+    "M10_heritability_r": [
+      0.2,
+      1.0
+    ],
+    "sensory_motor_corr": [
+      0.2,
+      1.0
+    ],
+    "pop_mean_idle_seconds": [
+      0.0,
+      1.5
+    ],
+    "input_saturation_fraction": [
+      0.0,
+      0.3
+    ],
+    "input_locked_fraction": [
+      0.0,
+      0.2
+    ],
+    "exploration_trigger_rate": [
+      0.01,
+      0.4
+    ]
+  }
+}

20260526_135525/nas_top3.json

@@ -0,0 +1,154 @@
+{
+  "_meta": {
+    "name": "nas_best_t124",
+    "version": "NxonArchNAS v0.8 (v189)",
+    "description": "Architecture found by NAS \u2014 trial 124, fitness 7.8062. Plug-and-play compatible with architectures/default.json: drop this file into architectures/ or load with NEURAXON_ARCH=path/to/this.json python main.py",
+    "source": "NxonArchNAS",
+    "rank": 3,
+    "trial_id": 124,
+    "fitness": 7.80616721372303,
+    "saved_at": "2026-05-26T22:26:25",
+    "notes": [
+      "Sections inherited from default.json:  healthy_bands (unchanged target ranges)",
+      "Sections overridden by NAS:  biology, neural, operating_ranges, genetic_lottery",
+      "Load with NEURAXON_ARCH=path/to/this.json python main.py"
+    ]
+  },
+  "biology": {
+    "_doc": "Game-world / bio-inspired dynamics. Independent of neural architecture \u2014 change these to study survival pressure without touching the brain.",
+    "metabolic_ramp_per_sec": 13.308391322599338,
+    "_doc_metabolic_ramp_per_sec": "Multiplier added to food drain and metabolic_rate per second of idle. With 1s idle \u2192 factor (1 + 10*1) = 11\u00d7. Capped by max_atrophy.",
+    "max_atrophy": 11.838673719470108,
+    "_doc_max_atrophy": "Hard cap on the atrophy multiplier (v151 fix). 5.0 = max 5\u00d7 normal drain even after extended idle.",
+    "metabolic_rate_abs_cap_multiple": 58.873330816053254,
+    "_doc_metabolic_rate_abs_cap_multiple": "Absolute ceiling on the per-NxEr metabolic_rate, expressed as a multiple of the initial value (v153 F-1).",
+    "start_food_default": 25.0,
+    "food_respawn_default": 400,
+    "food_sources_default": 50,
+    "_doc_food": "Defaults if the user doesn't change them via the menu sliders. The menu still overrides at startup.",
+    "mate_cooldown_seconds": 20,
+    "circadian_cycle_ticks": 691,
+    "idle_explore_seconds": 1.7209377998137598,
+    "explore_probability": 0.45221716332939677,
+    "_doc_idle_explore": "v152 idle-exploration safety net. If an NxEr has been idle \u2265 idle_explore_seconds, with explore_probability per tick, override motor output with a random direction."
+  },
+  "neural": {
+    "_doc": "Network architecture (topology + per-neuron parameters). Change these to test different brain configurations.",
+    "num_input_neurons": 10,
+    "num_output_neurons": 7,
+    "num_hidden_neurons_default": 20,
+    "_doc_neuron_counts": "Inputs: 10 sensory channels (movement, encounter, terrain, hunger, sight, smell, daynight, temp, proprio, song). Outputs: 7 motor (MoveX, MoveY, Social, MateIntent, GiveFood, Resting, Sing).",
+    "connection_probability": 0.4108860855932126,
+    "afferent_synapse_strength": 1.7805497239611803,
+    "proprioceptive_afferent_gain": 1.8,
+    "sensory_input_gain": 0.9,
+    "firing_threshold_excitatory": 0.5126936601405963,
+    "firing_threshold_inhibitory": -0.49518089376953756,
+    "spontaneous_firing_rate": 0.031321865756042795,
+    "intrinsic_timescale_default": 9.199709045642898,
+    "resting_potential_decay": 0.2633835246046755,
+    "sensorimotor_coupling": 1.0433096614174509,
+    "_doc_sensorimotor_coupling": "v164 \u2014 multiplier on input\u2192output direct-edge probability. 0.0 = pre-v164 (uniform random links). 1.0 = 2x more sensory\u2192motor connections. 3.0 = 4x. The fitness component sensory_motor_corr was stuck near zero in 1425 v163 trials because there was no architectural bias for sensory pathways. Boost this and plasticity will amplify the correlations.",
+    "symmetric_stdp": false,
+    "_doc_symmetric_stdp": "v169 (v4.77) \u2014 opt-in for MultiNeuraxon2 Bug #3 fix. False (default) preserves v161-v168 asymmetric STDP where state==-1 is invisible to plasticity (only +1-driven correlations strengthen synapses). True enables signed STDP traces + symmetric (-1,-1) \u2192 LTP and (-1,+1) \u2192 LTD branches. Hypothesised to address the input saturation root cause we worked around with sm_corr_peak in v165. NAS will A/B test it.",
+    "refractory_period_ticks": 4,
+    "_doc_refractory_period_ticks": "v171 (v4.79) \u2014 number of ticks a neuron is FORCED to state=0 after each firing event (0\u2192\u00b11 transition). 0 = no refractory (v161-v170 behaviour). The v170 @2400s membrane diagnostics showed only 0.6% of samples at state=0 \u2014 the network had become a bistable +1/-1 oscillator with no rest band. The paper's trinary firing model REQUIRES a meaningful 0 state. This parameter restores it. NAS searches 0-12 ticks; biologically realistic values are 1-5 (~ 1-5 game ticks at 10Hz). The membrane potential continues to evolve during refractory so the neuron can fire again immediately after the buffer expires.",
+    "post_spike_mp_reset": 0.19652931589202038,
+    "_doc_post_spike_mp_reset": "v172 (v4.80) \u2014 after-hyperpolarization (AHP). Fraction by which membrane_potential is pulled toward 0 after each firing event (0\u2192\u00b11). 0.0 = no reset (v171 behaviour). 1.0 = full reset to mp=0. Combined with refractory_period_ticks, restores the paper's intended trinary dynamics: refractory holds state=0 for N ticks while mp drops back to rest band, then state stays at 0 NATURALLY until inputs push mp past threshold again (rather than immediately re-firing). v171 found refract=1 alone only achieved 0.3% state=0 because mp stayed saturated past threshold; this parameter fixes that by snapping mp back to the rest band. NAS searches 0.0-1.0.",
+    "_doc_thresholds": "Membrane firing thresholds (above which trinary_state = +1, below -threshold = -1). The membrane potential is a low-pass filter with intrinsic_timescale ticks. resting_potential_decay multiplies mp by (1-this) each tick before the membrane equation update.",
+    "sphere_topology": "chc6",
+    "cross_sphere_coupling": 1.38901170358434,
+    "cryst_capacity": 1.938187950021704,
+    "free_energy_beta": 1.0210176505467827
+  },
+  "operating_ranges": {
+    "_doc": "Plasticity / adaptation / brake tunables. Change these to test different learning dynamics.",
+    "learning_rate": 0.0021074035741350406,
+    "plasticity_threshold": 0.6914897508105343,
+    "adaptation_tau_ticks": 40.247176594357285,
+    "adaptation_target_excitatory_multiplier": 1.5,
+    "adaptation_target_inhibitory_multiplier": 1.0,
+    "_doc_adaptation": "v149: adapt builds toward 0.55 \u00d7 multiplier when firing. Tau=20 ticks. Excitatory uses 1.5\u00d7 to bias the brake against +1 dominance.",
+    "autoreceptor_coefficient": 0.21696432233374313,
+    "autoreceptor_tau_ticks": 150.0,
+    "autoreceptor_rate_coeff": 0.35,
+    "_doc_autoreceptor": "Per-neuron autoreceptor that subtracts from theta1_eff (v154 sign back to v152 form \u2014 see CHANGELOG_v154 for context).",
+    "sensory_boost_function": "tanh",
+    "sensory_boost_scale": 1.0,
+    "_doc_sensory_boost": "v152 saturating cap: boosted_external = scale * tanh(scale * external_input). Asymptote = scale. 1.0 keeps strong inputs near threshold; lowering compresses further.",
+    "plasticity_brake_threshold": 0.5,
+    "plasticity_brake_slope": 1.8,
+    "plasticity_brake_floor": 0.1,
+    "_doc_plasticity_brake": "v152: when input_saturation_fraction > brake_threshold, learning_rate_mod is multiplied by max(floor, 1 - slope*(sat-threshold)).",
+    "fitness_g_weight": 0.3792764680337938
+  },
+  "genetic_lottery": {
+    "_doc": "v162 \u2014 per-NxEr trait variation at birth. Each NxEr samples its own value from these ranges, creating the genetic diversity that selection acts on (the missing ingredient that kept M10 heritability at 0 across all 743 v161 NAS trials). Inheritance + mutation at mating carries traits across generations.",
+    "metabolic_rate_multiplier_range": [
+      0.6803824233757645,
+      1.303343903201728
+    ],
+    "_doc_metabolic_rate_multiplier_range": "At birth each NxEr samples a multiplier uniformly from this range and applies it to its base metabolic_rate. [0.85, 1.15] means \u00b115% variation. Wider = more diversity but also more individuals at survival extremes.",
+    "intrinsic_timescale_jitter": 0.10543609576636848,
+    "_doc_intrinsic_timescale_jitter": "At birth each NxEr adds a uniform random value in [-jitter, +jitter] to intrinsic_timescale_default. 0.0 = no per-NxEr variation (all neurons in all NxErs have same timescale).",
+    "firing_threshold_jitter": 0.028272067685511357,
+    "_doc_firing_threshold_jitter": "Same idea for firing_threshold_excitatory / inhibitory. 0.04 = \u00b10.04 around the architecture default of 0.55. 0.0 = no per-NxEr variation.",
+    "mutation_strength": 0.13377706270108455,
+    "_doc_mutation_strength": "When offspring inherit a genetic trait from a parent, the value is perturbed by \u00b1mutation_strength \u00d7 (parent_value). 0.05 = 5% perturbation. 0 = exact copy."
+  },
+  "healthy_bands": {
+    "_doc": "Target ranges shown on the dashboard. NxErs operating in these bands are coloured green.",
+    "M1_excitatory_fraction": [
+      0.18,
+      0.28
+    ],
+    "M2_mean_gate": [
+      0.4,
+      0.85
+    ],
+    "M3_pac_modulation_idx": [
+      0.005,
+      0.1
+    ],
+    "M5_branching_ratio": [
+      0.92,
+      1.1
+    ],
+    "M6_spontaneous_fraction": [
+      0.1,
+      0.45
+    ],
+    "M7_zero_input_mi_ratio": [
+      0.4,
+      1.2
+    ],
+    "M9_transfer_ratio": [
+      0.85,
+      1.3
+    ],
+    "M10_heritability_r": [
+      0.2,
+      1.0
+    ],
+    "sensory_motor_corr": [
+      0.2,
+      1.0
+    ],
+    "pop_mean_idle_seconds": [
+      0.0,
+      1.5
+    ],
+    "input_saturation_fraction": [
+      0.0,
+      0.3
+    ],
+    "input_locked_fraction": [
+      0.0,
+      0.2
+    ],
+    "exploration_trigger_rate": [
+      0.01,
+      0.4
+    ]
+  }
+}

20260526_135525/trial_000/nxon2_430391171__LifespanLog.txt

@@ -0,0 +1,59 @@
+# Neuraxon Game of Life v5.04 — Per-NxEr lifespan log
+# game_id=nxon2_430391171
+# deaths=32  survivors_listed=20
+# founders_at_start=30
+# founders_still_alive_at_export=13
+# format: tab-separated, header row. status=DIED|ALIVE; ALIVE rows have death_tick=-1 and age_ticks = ticks lived so far.
+nxer_id	birth_tick	death_tick	age_ticks	was_original	status
+8	1	535	534	1	DIED
+33	414	830	416	0	DIED
+6	1	936	935	1	DIED
+34	490	1013	523	0	DIED
+9	1	1015	1014	1	DIED
+16	1	1176	1175	1	DIED
+27	1	1356	1355	1	DIED
+32	355	1705	1350	0	DIED
+5	1	1890	1889	1	DIED
+24	1	2008	2007	1	DIED
+38	1202	2015	813	0	DIED
+30	252	2027	1775	0	DIED
+2	1	2103	2102	1	DIED
+35	525	2308	1783	0	DIED
+21	1	2357	2356	1	DIED
+11	1	2424	2423	1	DIED
+41	1575	2822	1247	0	DIED
+1	1	3365	3364	1	DIED
+37	1033	3562	2529	0	DIED
+44	2450	3562	1112	0	DIED
+36	814	3697	2883	0	DIED
+39	1354	3834	2480	0	DIED
+0	1	3851	3850	1	DIED
+28	1	3862	3861	1	DIED
+10	1	4010	4009	1	DIED
+45	3328	4164	836	0	DIED
+13	1	4207	4206	1	DIED
+40	1381	4410	3029	0	DIED
+49	4540	4817	277	0	DIED
+20	1	5566	5565	1	DIED
+46	3386	5631	2245	0	DIED
+19	1	6500	6499	1	DIED
+3	1	-1	6656	1	ALIVE
+4	1	-1	6656	1	ALIVE
+7	1	-1	6656	1	ALIVE
+12	1	-1	6656	1	ALIVE
+14	1	-1	6656	1	ALIVE
+15	1	-1	6656	1	ALIVE
+17	1	-1	6656	1	ALIVE
+18	1	-1	6656	1	ALIVE
+22	1	-1	6656	1	ALIVE
+23	1	-1	6656	1	ALIVE
+25	1	-1	6656	1	ALIVE
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20260526_135525/trial_000/nxon2_430391171__MembraneDiag.txt

@@ -0,0 +1,1193 @@
+# Neuraxon Game of Life v5.04 — Membrane diagnostics
+# game_id=nxon2_430391171
+# rows=1188
+# sampled every 100 ticks, first 3 hidden + first 3 input neurons of first 3 alive NxErs each sample (v176 — layer column)
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20260526_135525/trial_000__arch.json

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+{
+  "_meta": {
+    "source": "NxonArchNAS",
+    "trial_id": 0,
+    "sampled_at": "2026-05-26T13:55:25"
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+  "biology": {
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+}

20260526_135525/trial_001/8122857402_nxon2_024722855_1_Completed_2026-05-26T13-25-57Z.json

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+size 29393994

20260526_135525/trial_001/nxon2_024722855__KeyMetrics.txt

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20260526_135525/trial_001/nxon2_024722855__LifespanLog.txt

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+# Neuraxon Game of Life v5.04 — Per-NxEr lifespan log
+# game_id=nxon2_024722855
+# deaths=42  survivors_listed=0
+# founders_at_start=30
+# founders_still_alive_at_export=1
+# format: tab-separated, header row. status=DIED|ALIVE; ALIVE rows have death_tick=-1 and age_ticks = ticks lived so far.
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20260526_135525/trial_001__arch.json

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+{
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+    "trial_id": 1,
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+}

20260526_135525/trial_002/nxon2_117492643__LifespanLog.txt

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+# Neuraxon Game of Life v5.04 — Per-NxEr lifespan log
+# game_id=nxon2_117492643
+# deaths=37  survivors_listed=15
+# founders_at_start=30
+# founders_still_alive_at_export=10
+# format: tab-separated, header row. status=DIED|ALIVE; ALIVE rows have death_tick=-1 and age_ticks = ticks lived so far.
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+5	1	-1	6306	1	ALIVE
+7	1	-1	6306	1	ALIVE
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20260526_135525/trial_002/nxon2_117492643__MembraneDiag.txt

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+# Neuraxon Game of Life v5.04 — Membrane diagnostics
+# game_id=nxon2_117492643
+# rows=1134
+# sampled every 100 ticks, first 3 hidden + first 3 input neurons of first 3 alive NxErs each sample (v176 — layer column)
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20260526_135525/trial_002__arch.json

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+{
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+    "source": "NxonArchNAS",
+    "trial_id": 2,
+    "sampled_at": "2026-05-26T13:55:25"
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+  "biology": {
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+  "healthy_bands": {},
+  "genetic_lottery": {
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+  }
+}

20260526_135525/trial_003/nxon2_729357211__LifespanLog.txt

@@ -0,0 +1,54 @@
+# Neuraxon Game of Life v5.04 — Per-NxEr lifespan log
+# game_id=nxon2_729357211
+# deaths=42  survivors_listed=5
+# founders_at_start=30
+# founders_still_alive_at_export=4
+# format: tab-separated, header row. status=DIED|ALIVE; ALIVE rows have death_tick=-1 and age_ticks = ticks lived so far.
+nxer_id	birth_tick	death_tick	age_ticks	was_original	status
+2	1	843	842	1	DIED
+9	1	1750	1749	1	DIED
+0	1	2144	2143	1	DIED
+33	1285	2640	1355	0	DIED
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+34	1323	2882	1559	0	DIED
+31	881	2920	2039	0	DIED
+27	1	2946	2945	1	DIED
+38	2737	3062	325	0	DIED
+32	1021	3496	2475	0	DIED
+28	1	3816	3815	1	DIED
+40	4211	4661	450	0	DIED
+36	2522	4870	2348	0	DIED
+24	1	5518	5517	1	DIED
+11	1	5620	5619	1	DIED
+21	1	5690	5689	1	DIED
+15	1	5790	5789	1	DIED
+25	1	5962	5961	1	DIED
+10	1	6068	6067	1	DIED
+43	5943	6307	364	0	DIED
+3	1	6427	6426	1	DIED
+20	1	6431	6430	1	DIED
+16	1	6746	6745	1	DIED
+7	1	6826	6825	1	DIED
+39	4092	7128	3036	0	DIED
+42	5126	7287	2161	0	DIED
+44	6086	7360	1274	0	DIED
+26	1	7510	7509	1	DIED
+45	7492	7803	311	0	DIED
+17	1	8184	8183	1	DIED
+12	1	8703	8702	1	DIED
+41	4526	8930	4404	0	DIED
+14	1	9017	9016	1	DIED
+35	2065	9648	7583	0	DIED
+8	1	9887	9886	1	DIED
+30	690	10040	9350	0	DIED
+19	1	10576	10575	1	DIED
+6	1	11355	11354	1	DIED
+22	1	11904	11903	1	DIED
+46	9085	12402	3317	0	DIED
+13	1	14420	14419	1	DIED
+1	1	18940	18939	1	DIED
+4	1	-1	21497	1	ALIVE
+18	1	-1	21497	1	ALIVE
+23	1	-1	21497	1	ALIVE
+29	1	-1	21497	1	ALIVE
+37	2555	-1	18943	0	ALIVE

20260526_135525/trial_003__arch.json

@@ -0,0 +1,51 @@
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+}