diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/A5_accuracy_compute_pareto.csv b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_accuracy_compute_pareto.csv
new file mode 100644
index 0000000000000000000000000000000000000000..3897976fdd79d091e2942e199bf427309ec87bb5
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_accuracy_compute_pareto.csv
@@ -0,0 +1,13 @@
+target_params,scale,model,mean_task_normalized_rmse,median_task_normalized_rmse,latency6_ms,latency24_ms,train_update_ms,train_peak_vram,pareto_accuracy_latency,pareto_accuracy_train_update
+125000,125K,CIDM-Complete,1.0,1.0,30.27976683337859,112.99443866666554,88.39225566665239,954205696.0,True,True
+125000,125K,CIDM-Foundation-v1,3.6057866052857492,4.106570792294545,8.8574905000011,31.169574500002756,34.14298399998946,603867306.6666666,True,True
+125000,125K,NeuralOperator-FNO,3.4204414436549295,2.743564633613942,26.568744666690236,105.40524550003738,70.3012273333646,696032768.0,False,False
+125000,125K,PDEBench-FNO,2.4419558737295946,2.84056598209102,14.15156999996725,55.74995466666147,43.35158099998656,403655509.3333333,True,True
+500000,500K,CIDM-Complete,1.0926300479479265,1.0,33.51038833329767,126.50374933336177,147.49772199994973,2388102656.0,False,False
+500000,500K,CIDM-Foundation-v1,3.86007765650546,4.5093580638075705,11.906274666595587,42.09215666670237,57.921652000080336,1156232533.3333333,False,False
+500000,500K,NeuralOperator-FNO,2.562212269789903,2.3284182770282613,27.126179999982014,107.45902766666404,126.58522133331947,1545485312.0,False,False
+500000,500K,PDEBench-FNO,1.4753114418689595,1.2700786402333566,14.160689333380105,55.73658516667971,54.211157333308314,566523392.0,True,True
+2000000,2M,CIDM-Complete,1.2530313368489707,1.0214390207163198,37.324439833317534,141.07361400003052,260.08467399992696,1021677397.3333334,False,False
+2000000,2M,CIDM-Foundation-v1,2.8936592547870448,3.253276958821703,20.813687333278114,73.93217249997026,157.4198633333405,733487957.3333334,False,False
+2000000,2M,NeuralOperator-FNO,5.261643974750723,4.520546355581734,27.185797500010267,107.35222316668569,184.45116033338613,749862400.0,False,False
+2000000,2M,PDEBench-FNO,1.3330821785027132,1.0,14.215786666682106,55.69983849996637,119.16327733342769,244454912.0,True,False
diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/A5_compute_profile.csv b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_compute_profile.csv
new file mode 100644
index 0000000000000000000000000000000000000000..5eb01cd8ac6b51369f372844e2cf825597302ea9
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_compute_profile.csv
@@ -0,0 +1,37 @@
+target_params,scale,task,model,params,microbatch,effective_batch,latency6_ms_median,latency6_ms_mean,latency24_ms_median,inference_peak_vram6_bytes,inference_peak_vram24_bytes,train_update_ms_median,train_update_ms_mean,train_update_peak_vram_bytes,cidm_pure48_ms_median,cidm_sync12_48_ms_median,cidm_sync12_48_peak_vram_bytes
+125000,125K,advection_1d,CIDM-Foundation-v1,125815,16,16,8.170745000029456,8.169488449999562,28.3608625000511,53109248,55189504,23.557762999985243,24.295403399969473,196983296,54.96975150003891,58.31748600002129,52868096.0
+125000,125K,advection_1d,CIDM-Complete,125038,16,16,29.97052200004191,30.101841300017895,111.44698999999036,52884992,53434880,79.05794600003446,78.87607160000698,242732544,218.89584149994334,224.238755999977,52826624.0
+125000,125K,advection_1d,PDEBench-FNO,125087,16,16,12.728873499952442,12.843694500014635,50.41818149999244,53243904,53262336,38.25043699998787,38.82901459999175,150617088,,,
+125000,125K,advection_1d,NeuralOperator-FNO,124931,16,16,25.746658000002753,25.877969200018924,102.20650849998947,53584384,53602816,63.704529000006005,64.3730572000095,246311424,,,
+125000,125K,burgers_1d,CIDM-Foundation-v1,125815,16,16,8.088132999944264,8.082816549995187,28.355257999976402,53109248,55189504,22.78884999998354,22.75022819997048,196983296,54.877081500023905,57.12415050004438,52868096.0
+125000,125K,burgers_1d,CIDM-Complete,125038,16,16,29.61149850005995,29.715512300003866,110.00642499999458,52884992,53434880,80.33835899993846,80.87728819998574,242732544,218.8168334999432,223.91523749996622,52826624.0
+125000,125K,burgers_1d,PDEBench-FNO,125087,16,16,12.737847999972018,12.733763899984751,49.54225500000575,53243904,53262336,36.71816500002478,37.01396140002089,150617088,,,
+125000,125K,burgers_1d,NeuralOperator-FNO,124931,16,16,25.44284250001283,25.490292200015574,100.53161999996973,53584384,53602816,66.62375200005499,66.72259580000173,246311424,,,
+125000,125K,reacdiff_2d,CIDM-Foundation-v1,124004,4,4,10.313593500029583,10.342569149992187,36.79260299998077,82728448,164710912,56.08233899999959,55.69518199999948,1417635328,72.03362150005432,74.98701999998048,74559488.0
+125000,125K,reacdiff_2d,CIDM-Complete,124958,4,4,31.257280000033916,31.251897849995203,117.5299010000117,83235840,151556096,105.78046199998425,105.65893220000362,2377152000,232.61209900005042,237.37582050000583,80713216.0
+125000,125K,reacdiff_2d,PDEBench-FNO,123476,4,4,16.98798849997729,16.988614399940616,67.28942749998623,75454976,77814272,55.08614099994702,55.08491759997014,909732352,,,
+125000,125K,reacdiff_2d,NeuralOperator-FNO,126312,4,4,28.516733500055125,28.57601009998234,113.47760800015294,70331392,72690688,80.5754010000328,81.39360919994942,1595475456,,,
+500000,500K,advection_1d,CIDM-Foundation-v1,496331,16,16,7.8342809998730445,7.83789659994909,27.57071500013808,58407424,60379648,23.504790000060893,23.3720428000197,348092416,53.85408499989808,55.76913350000723,57900032.0
+500000,500K,advection_1d,CIDM-Complete,500022,16,16,30.699850999894807,30.70913860001383,115.24536700005683,55883264,58036736,84.49388999997609,84.11705960006657,402867200,225.74914300003002,231.20795249997173,55507456.0
+500000,500K,advection_1d,PDEBench-FNO,499917,16,16,12.811357500027043,13.083340850005243,50.62142400004177,57029120,57047552,37.58302899996124,38.429094600041935,180750336,,,
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+500000,500K,burgers_1d,CIDM-Complete,500022,16,16,30.955423500017787,31.21499550002227,116.52311549994465,55883264,58036736,82.69021899991458,82.68780399998832,402867200,228.30667749997247,236.1090609999792,55507456.0
+500000,500K,burgers_1d,PDEBench-FNO,499917,16,16,12.914973000079044,13.17667214998437,50.29533849995005,57029120,57047552,41.47525600001245,41.58707019996655,180750336,,,
+500000,500K,burgers_1d,NeuralOperator-FNO,499897,16,16,26.532458999895425,26.66131769998401,105.00147749996813,57152000,57170432,65.41089300003478,65.60829819995888,293164032,,,
+500000,500K,reacdiff_2d,CIDM-Foundation-v1,484548,4,4,19.872104499995658,19.886197699986496,70.80388550002681,110380032,267179008,126.82338600006915,126.65533320000577,2772512768,138.5196905000612,144.9366629999531,89720832.0
+500000,500K,reacdiff_2d,CIDM-Complete,500084,4,4,38.875890499980414,38.89959519998456,147.7427655000838,90423296,128530432,275.30905699995856,276.45198359996357,6358573568,291.7362154998955,294.78728449987557,89068032.0
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diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/A5_gate_report.txt b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_gate_report.txt
new file mode 100644
index 0000000000000000000000000000000000000000..deb1b7c0e4333cbe9f6e2a08b4427ef4ef8bf1be
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_gate_report.txt
@@ -0,0 +1,29 @@
+CIDM Foundation A5 — FINAL Scaling / Compute / Saturation
+========================================================================================
+VERDICT: PASS_A5_FINAL_SCALING_COMPUTE_SATURATION
+
+[PASS] frozen_architectures_exact
+[PASS] official_sources_exact
+[PASS] parameter_match_36of36
+[PASS] preflight_36of36
+[PASS] compute_profile_36of36
+[PASS] new_scaling_72of72
+[PASS] imported_500k_36of36
+[PASS] merged_scaling_108of108
+[PASS] saturation_36of36
+[PASS] saturation_budget_144_records
+[PASS] scaling_slopes_written
+[PASS] pareto_written
+[PASS] saturation_gain_written
+[PASS] rank_stability_written
+[PASS] figures_complete
+
+Interpretation rule:
+- PASS means the final experiment contract is complete.
+- PASS does not require CIDM to win every scale or budget.
+- Scaling results are fixed-budget architecture scaling.
+- Saturation results are a separate 8K-budget protocol.
+
+If PASS:
+MAIN CIDM FOUNDATION ARCHITECTURE EXPERIMENTS ARE FROZEN.
+Next stage: final architecture settlement -> figures -> manuscript.
\ No newline at end of file
diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/A5_global_scaling.csv b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_global_scaling.csv
new file mode 100644
index 0000000000000000000000000000000000000000..2a78f58566a7c0bf13a246e2361d2ed85fc1cecd
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_global_scaling.csv
@@ -0,0 +1,13 @@
+target_params,scale,model,mean_task_normalized_rmse,median_task_normalized_rmse
+125000,125K,CIDM-Complete,1.0,1.0
+125000,125K,CIDM-Foundation-v1,3.6057866052857492,4.106570792294545
+125000,125K,NeuralOperator-FNO,3.4204414436549295,2.743564633613942
+125000,125K,PDEBench-FNO,2.4419558737295946,2.84056598209102
+500000,500K,CIDM-Complete,1.0926300479479265,1.0
+500000,500K,CIDM-Foundation-v1,3.86007765650546,4.5093580638075705
+500000,500K,NeuralOperator-FNO,2.562212269789903,2.3284182770282613
+500000,500K,PDEBench-FNO,1.4753114418689595,1.2700786402333566
+2000000,2M,CIDM-Complete,1.2530313368489707,1.0214390207163198
+2000000,2M,CIDM-Foundation-v1,2.8936592547870448,3.253276958821703
+2000000,2M,NeuralOperator-FNO,5.261643974750723,4.520546355581734
+2000000,2M,PDEBench-FNO,1.3330821785027132,1.0
diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/A5_long24_saturation.csv b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_long24_saturation.csv
new file mode 100644
index 0000000000000000000000000000000000000000..946dd9f44ab6f9dfd0993f68331d2d4f14206730
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_long24_saturation.csv
@@ -0,0 +1,49 @@
+task,model,budget,long24_mean,long24_std
+advection_1d,CIDM-Complete,1000,0.6900390721263491,0.16104399355190704
+advection_1d,CIDM-Complete,2500,0.647499648631659,0.15541130209329335
+advection_1d,CIDM-Complete,4000,0.6038554053402451,0.08345065479989257
+advection_1d,CIDM-Complete,8000,0.5768325646015134,0.07978155637357465
+advection_1d,CIDM-Foundation-v1,1000,0.3301878984661283,0.012536273726574601
+advection_1d,CIDM-Foundation-v1,2500,0.3422728005640889,0.00800156450922938
+advection_1d,CIDM-Foundation-v1,4000,0.33244470064673654,0.006823089356890162
+advection_1d,CIDM-Foundation-v1,8000,0.2879100925819818,0.022538357092504943
+advection_1d,NeuralOperator-FNO,1000,0.033057554137130817,0.006047642043925697
+advection_1d,NeuralOperator-FNO,2500,0.02537235407983625,0.010000089618583374
+advection_1d,NeuralOperator-FNO,4000,0.02104450498745669,0.004559657752189444
+advection_1d,NeuralOperator-FNO,8000,0.017312926454968444,0.0026050806680587295
+advection_1d,PDEBench-FNO,1000,0.1314484948513727,0.05915227582831265
+advection_1d,PDEBench-FNO,2500,0.12270976592918824,0.06511440824188318
+advection_1d,PDEBench-FNO,4000,0.06537994989751934,0.0030621699896722834
+advection_1d,PDEBench-FNO,8000,0.050551690960516114,0.0012734127457048592
+burgers_1d,CIDM-Complete,1000,0.46639910104690346,0.05905187753666126
+burgers_1d,CIDM-Complete,2500,0.44527582788892855,0.04051690042759146
+burgers_1d,CIDM-Complete,4000,0.4695632616710152,0.020723901633903214
+burgers_1d,CIDM-Complete,8000,0.5297618219514139,0.06264378313570695
+burgers_1d,CIDM-Foundation-v1,1000,0.2768378977531662,0.002019600137937888
+burgers_1d,CIDM-Foundation-v1,2500,0.3728784915311674,0.014844829642376387
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+burgers_1d,CIDM-Foundation-v1,8000,0.2911797831647224,0.04611451628487881
+burgers_1d,NeuralOperator-FNO,1000,0.07976244101479128,0.013719421295761394
+burgers_1d,NeuralOperator-FNO,2500,0.05801417520824382,0.006167137474774401
+burgers_1d,NeuralOperator-FNO,4000,0.025848764362922494,0.004778952272075125
+burgers_1d,NeuralOperator-FNO,8000,0.02118819019208164,0.0048109244725556425
+burgers_1d,PDEBench-FNO,1000,0.2769798993357871,0.028917029961643484
+burgers_1d,PDEBench-FNO,2500,0.3448050732735051,0.04192366013293064
+burgers_1d,PDEBench-FNO,4000,0.11134335538439495,0.0291214733835823
+burgers_1d,PDEBench-FNO,8000,0.0780286832688926,0.018860712302811382
+reacdiff_2d,CIDM-Complete,1000,0.04133449652576141,0.03217843663272331
+reacdiff_2d,CIDM-Complete,2500,0.01865085385271113,0.008666244291940229
+reacdiff_2d,CIDM-Complete,4000,0.015291032059301152,0.008346438106743053
+reacdiff_2d,CIDM-Complete,8000,0.012090024764975046,0.002883379498612856
+reacdiff_2d,CIDM-Foundation-v1,1000,0.01749660455867316,0.0006659670029983487
+reacdiff_2d,CIDM-Foundation-v1,2500,0.010943263372797501,0.0002517084686815699
+reacdiff_2d,CIDM-Foundation-v1,4000,0.01739994341074198,0.0014543793688740823
+reacdiff_2d,CIDM-Foundation-v1,8000,0.01668367689362885,0.000981176206872909
+reacdiff_2d,NeuralOperator-FNO,1000,0.026241033433557447,0.0009620531357501952
+reacdiff_2d,NeuralOperator-FNO,2500,0.021778424004945996,0.00026007208750764894
+reacdiff_2d,NeuralOperator-FNO,4000,0.022126166264874365,0.0004223443907697807
+reacdiff_2d,NeuralOperator-FNO,8000,0.019723421980544862,0.001064669578859166
+reacdiff_2d,PDEBench-FNO,1000,0.026891927254062087,0.003558593580406354
+reacdiff_2d,PDEBench-FNO,2500,0.022593464192866813,0.0008855230024178743
+reacdiff_2d,PDEBench-FNO,4000,0.019381278876679016,0.0008727744836698249
+reacdiff_2d,PDEBench-FNO,8000,0.01752541569328032,0.0002507093396667684
diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/A5_paper_experiment_settlement.json b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_paper_experiment_settlement.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b579908be1261be93865985c8d47ba9a85208cd
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_paper_experiment_settlement.json
@@ -0,0 +1,589 @@
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+      "median_task_normalized_rmse": 1.2700786402333566,
+      "latency6_ms": 14.160689333380105,
+      "latency24_ms": 55.73658516667971,
+      "train_update_ms": 54.211157333308314,
+      "train_peak_vram": 566523392.0,
+      "pareto_accuracy_latency": true,
+      "pareto_accuracy_train_update": true
+    },
+    {
+      "target_params": 2000000,
+      "scale": "2M",
+      "model": "CIDM-Complete",
+      "mean_task_normalized_rmse": 1.2530313368489707,
+      "median_task_normalized_rmse": 1.0214390207163198,
+      "latency6_ms": 37.324439833317534,
+      "latency24_ms": 141.07361400003052,
+      "train_update_ms": 260.08467399992696,
+      "train_peak_vram": 1021677397.3333334,
+      "pareto_accuracy_latency": false,
+      "pareto_accuracy_train_update": false
+    },
+    {
+      "target_params": 2000000,
+      "scale": "2M",
+      "model": "CIDM-Foundation-v1",
+      "mean_task_normalized_rmse": 2.8936592547870448,
+      "median_task_normalized_rmse": 3.253276958821703,
+      "latency6_ms": 20.813687333278114,
+      "latency24_ms": 73.93217249997026,
+      "train_update_ms": 157.4198633333405,
+      "train_peak_vram": 733487957.3333334,
+      "pareto_accuracy_latency": false,
+      "pareto_accuracy_train_update": false
+    },
+    {
+      "target_params": 2000000,
+      "scale": "2M",
+      "model": "NeuralOperator-FNO",
+      "mean_task_normalized_rmse": 5.261643974750723,
+      "median_task_normalized_rmse": 4.520546355581734,
+      "latency6_ms": 27.185797500010267,
+      "latency24_ms": 107.35222316668569,
+      "train_update_ms": 184.45116033338613,
+      "train_peak_vram": 749862400.0,
+      "pareto_accuracy_latency": false,
+      "pareto_accuracy_train_update": false
+    },
+    {
+      "target_params": 2000000,
+      "scale": "2M",
+      "model": "PDEBench-FNO",
+      "mean_task_normalized_rmse": 1.3330821785027132,
+      "median_task_normalized_rmse": 1.0,
+      "latency6_ms": 14.215786666682106,
+      "latency24_ms": 55.69983849996637,
+      "train_update_ms": 119.16327733342769,
+      "train_peak_vram": 244454912.0,
+      "pareto_accuracy_latency": true,
+      "pareto_accuracy_train_update": false
+    }
+  ]
+}
\ No newline at end of file
diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/A5_parameter_matching.csv b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_parameter_matching.csv
new file mode 100644
index 0000000000000000000000000000000000000000..20008bcc066b208e502bce70a76f5cbe09054985
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_parameter_matching.csv
@@ -0,0 +1,37 @@
+target_params,scale,task,model,params,rel_error,ok,config
+125000,125K,advection_1d,CIDM-Foundation-v1,125815,0.00652,True,"{""latent_dim"": 52, ""hidden"": 80}"
+125000,125K,advection_1d,CIDM-Complete,125038,0.000304,True,"{""latent_dim"": 20, ""hidden"": 36, ""soc_modes1"": 1, ""soc_modes2"": 6}"
+125000,125K,advection_1d,PDEBench-FNO,125087,0.000696,True,"{""width"": 57, ""modes"": 8}"
+125000,125K,advection_1d,NeuralOperator-FNO,124931,0.000552,True,"{""width"": 62, ""modes"": 8}"
+125000,125K,burgers_1d,CIDM-Foundation-v1,125815,0.00652,True,"{""latent_dim"": 52, ""hidden"": 80}"
+125000,125K,burgers_1d,CIDM-Complete,125038,0.000304,True,"{""latent_dim"": 20, ""hidden"": 36, ""soc_modes1"": 1, ""soc_modes2"": 6}"
+125000,125K,burgers_1d,PDEBench-FNO,125087,0.000696,True,"{""width"": 57, ""modes"": 8}"
+125000,125K,burgers_1d,NeuralOperator-FNO,124931,0.000552,True,"{""width"": 62, ""modes"": 8}"
+125000,125K,reacdiff_2d,CIDM-Foundation-v1,124004,0.007968,True,"{""latent_dim"": 32, ""hidden"": 48}"
+125000,125K,reacdiff_2d,CIDM-Complete,124958,0.000336,True,"{""latent_dim"": 28, ""hidden"": 16, ""soc_modes1"": 2, ""soc_modes2"": 8}"
+125000,125K,reacdiff_2d,PDEBench-FNO,123476,0.012192,True,"{""width"": 30, ""modes"": 4}"
+125000,125K,reacdiff_2d,NeuralOperator-FNO,126312,0.010496,True,"{""width"": 34, ""modes"": 6}"
+500000,500K,advection_1d,CIDM-Foundation-v1,496331,0.007338,True,"{""latent_dim"": 104, ""hidden"": 160}"
+500000,500K,advection_1d,CIDM-Complete,500022,4.4e-05,True,"{""latent_dim"": 82, ""hidden"": 20, ""soc_modes1"": 1, ""soc_modes2"": 4}"
+500000,500K,advection_1d,PDEBench-FNO,499917,0.000166,True,"{""width"": 70, ""modes"": 24}"
+500000,500K,advection_1d,NeuralOperator-FNO,499897,0.000206,True,"{""width"": 72, ""modes"": 40}"
+500000,500K,burgers_1d,CIDM-Foundation-v1,496331,0.007338,True,"{""latent_dim"": 104, ""hidden"": 160}"
+500000,500K,burgers_1d,CIDM-Complete,500022,4.4e-05,True,"{""latent_dim"": 82, ""hidden"": 20, ""soc_modes1"": 1, ""soc_modes2"": 4}"
+500000,500K,burgers_1d,PDEBench-FNO,499917,0.000166,True,"{""width"": 70, ""modes"": 24}"
+500000,500K,burgers_1d,NeuralOperator-FNO,499897,0.000206,True,"{""width"": 72, ""modes"": 40}"
+500000,500K,reacdiff_2d,CIDM-Foundation-v1,484548,0.030904,True,"{""latent_dim"": 64, ""hidden"": 96}"
+500000,500K,reacdiff_2d,CIDM-Complete,500084,0.000168,True,"{""latent_dim"": 20, ""hidden"": 92, ""soc_modes1"": 2, ""soc_modes2"": 14}"
+500000,500K,reacdiff_2d,PDEBench-FNO,500281,0.000562,True,"{""width"": 61, ""modes"": 4}"
+500000,500K,reacdiff_2d,NeuralOperator-FNO,501141,0.002282,True,"{""width"": 91, ""modes"": 4}"
+2000000,2M,advection_1d,CIDM-Foundation-v1,2002203,0.0011015,True,"{""latent_dim"": 120, ""hidden"": 360}"
+2000000,2M,advection_1d,CIDM-Complete,2000000,0.0,True,"{""latent_dim"": 52, ""hidden"": 176, ""soc_modes1"": 1, ""soc_modes2"": 12}"
+2000000,2M,advection_1d,PDEBench-FNO,1999837,8.15e-05,True,"{""width"": 110, ""modes"": 40}"
+2000000,2M,advection_1d,NeuralOperator-FNO,1999585,0.0002075,True,"{""width"": 288, ""modes"": 4}"
+2000000,2M,burgers_1d,CIDM-Foundation-v1,2002203,0.0011015,True,"{""latent_dim"": 120, ""hidden"": 360}"
+2000000,2M,burgers_1d,CIDM-Complete,2000000,0.0,True,"{""latent_dim"": 52, ""hidden"": 176, ""soc_modes1"": 1, ""soc_modes2"": 12}"
+2000000,2M,burgers_1d,PDEBench-FNO,1999837,8.15e-05,True,"{""width"": 110, ""modes"": 40}"
+2000000,2M,burgers_1d,NeuralOperator-FNO,1999585,0.0002075,True,"{""width"": 288, ""modes"": 4}"
+2000000,2M,reacdiff_2d,CIDM-Foundation-v1,1970136,0.014932,True,"{""latent_dim"": 84, ""hidden"": 208}"
+2000000,2M,reacdiff_2d,CIDM-Complete,2000050,2.5e-05,True,"{""latent_dim"": 42, ""hidden"": 108, ""soc_modes1"": 12, ""soc_modes2"": 14}"
+2000000,2M,reacdiff_2d,PDEBench-FNO,2006461,0.0032305,True,"{""width"": 25, ""modes"": 20}"
+2000000,2M,reacdiff_2d,NeuralOperator-FNO,1999563,0.0002185,True,"{""width"": 89, ""modes"": 10}"
diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/A5_parameter_matching.json b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_parameter_matching.json
new file mode 100644
index 0000000000000000000000000000000000000000..ce15d9136a46374d641958fdbf5295595f7fe161
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_parameter_matching.json
@@ -0,0 +1,368 @@
+{
+  "125000": {
+    "advection_1d": {
+      "CIDM-Foundation-v1": {
+        "params": 125815,
+        "rel_error": 0.00652,
+        "ok": true,
+        "config": {
+          "latent_dim": 52,
+          "hidden": 80
+        }
+      },
+      "CIDM-Complete": {
+        "params": 125038,
+        "rel_error": 0.000304,
+        "ok": true,
+        "config": {
+          "latent_dim": 20,
+          "hidden": 36,
+          "soc_modes1": 1,
+          "soc_modes2": 6
+        }
+      },
+      "PDEBench-FNO": {
+        "params": 125087,
+        "rel_error": 0.000696,
+        "ok": true,
+        "config": {
+          "width": 57,
+          "modes": 8
+        }
+      },
+      "NeuralOperator-FNO": {
+        "params": 124931,
+        "rel_error": 0.000552,
+        "ok": true,
+        "config": {
+          "width": 62,
+          "modes": 8
+        }
+      }
+    },
+    "burgers_1d": {
+      "CIDM-Foundation-v1": {
+        "params": 125815,
+        "rel_error": 0.00652,
+        "ok": true,
+        "config": {
+          "latent_dim": 52,
+          "hidden": 80
+        }
+      },
+      "CIDM-Complete": {
+        "params": 125038,
+        "rel_error": 0.000304,
+        "ok": true,
+        "config": {
+          "latent_dim": 20,
+          "hidden": 36,
+          "soc_modes1": 1,
+          "soc_modes2": 6
+        }
+      },
+      "PDEBench-FNO": {
+        "params": 125087,
+        "rel_error": 0.000696,
+        "ok": true,
+        "config": {
+          "width": 57,
+          "modes": 8
+        }
+      },
+      "NeuralOperator-FNO": {
+        "params": 124931,
+        "rel_error": 0.000552,
+        "ok": true,
+        "config": {
+          "width": 62,
+          "modes": 8
+        }
+      }
+    },
+    "reacdiff_2d": {
+      "CIDM-Foundation-v1": {
+        "params": 124004,
+        "rel_error": 0.007968,
+        "ok": true,
+        "config": {
+          "latent_dim": 32,
+          "hidden": 48
+        }
+      },
+      "CIDM-Complete": {
+        "params": 124958,
+        "rel_error": 0.000336,
+        "ok": true,
+        "config": {
+          "latent_dim": 28,
+          "hidden": 16,
+          "soc_modes1": 2,
+          "soc_modes2": 8
+        }
+      },
+      "PDEBench-FNO": {
+        "params": 123476,
+        "rel_error": 0.012192,
+        "ok": true,
+        "config": {
+          "width": 30,
+          "modes": 4
+        }
+      },
+      "NeuralOperator-FNO": {
+        "params": 126312,
+        "rel_error": 0.010496,
+        "ok": true,
+        "config": {
+          "width": 34,
+          "modes": 6
+        }
+      }
+    }
+  },
+  "500000": {
+    "advection_1d": {
+      "CIDM-Foundation-v1": {
+        "params": 496331,
+        "rel_error": 0.007338,
+        "ok": true,
+        "config": {
+          "latent_dim": 104,
+          "hidden": 160
+        }
+      },
+      "CIDM-Complete": {
+        "params": 500022,
+        "rel_error": 4.4e-05,
+        "ok": true,
+        "config": {
+          "latent_dim": 82,
+          "hidden": 20,
+          "soc_modes1": 1,
+          "soc_modes2": 4
+        }
+      },
+      "PDEBench-FNO": {
+        "params": 499917,
+        "rel_error": 0.000166,
+        "ok": true,
+        "config": {
+          "width": 70,
+          "modes": 24
+        }
+      },
+      "NeuralOperator-FNO": {
+        "params": 499897,
+        "rel_error": 0.000206,
+        "ok": true,
+        "config": {
+          "width": 72,
+          "modes": 40
+        }
+      }
+    },
+    "burgers_1d": {
+      "CIDM-Foundation-v1": {
+        "params": 496331,
+        "rel_error": 0.007338,
+        "ok": true,
+        "config": {
+          "latent_dim": 104,
+          "hidden": 160
+        }
+      },
+      "CIDM-Complete": {
+        "params": 500022,
+        "rel_error": 4.4e-05,
+        "ok": true,
+        "config": {
+          "latent_dim": 82,
+          "hidden": 20,
+          "soc_modes1": 1,
+          "soc_modes2": 4
+        }
+      },
+      "PDEBench-FNO": {
+        "params": 499917,
+        "rel_error": 0.000166,
+        "ok": true,
+        "config": {
+          "width": 70,
+          "modes": 24
+        }
+      },
+      "NeuralOperator-FNO": {
+        "params": 499897,
+        "rel_error": 0.000206,
+        "ok": true,
+        "config": {
+          "width": 72,
+          "modes": 40
+        }
+      }
+    },
+    "reacdiff_2d": {
+      "CIDM-Foundation-v1": {
+        "params": 484548,
+        "rel_error": 0.030904,
+        "ok": true,
+        "config": {
+          "latent_dim": 64,
+          "hidden": 96
+        }
+      },
+      "CIDM-Complete": {
+        "params": 500084,
+        "rel_error": 0.000168,
+        "ok": true,
+        "config": {
+          "latent_dim": 20,
+          "hidden": 92,
+          "soc_modes1": 2,
+          "soc_modes2": 14
+        }
+      },
+      "PDEBench-FNO": {
+        "params": 500281,
+        "rel_error": 0.000562,
+        "ok": true,
+        "config": {
+          "width": 61,
+          "modes": 4
+        }
+      },
+      "NeuralOperator-FNO": {
+        "params": 501141,
+        "rel_error": 0.002282,
+        "ok": true,
+        "config": {
+          "width": 91,
+          "modes": 4
+        }
+      }
+    }
+  },
+  "2000000": {
+    "advection_1d": {
+      "CIDM-Foundation-v1": {
+        "params": 2002203,
+        "rel_error": 0.0011015,
+        "ok": true,
+        "config": {
+          "latent_dim": 120,
+          "hidden": 360
+        }
+      },
+      "CIDM-Complete": {
+        "params": 2000000,
+        "rel_error": 0.0,
+        "ok": true,
+        "config": {
+          "latent_dim": 52,
+          "hidden": 176,
+          "soc_modes1": 1,
+          "soc_modes2": 12
+        }
+      },
+      "PDEBench-FNO": {
+        "params": 1999837,
+        "rel_error": 8.15e-05,
+        "ok": true,
+        "config": {
+          "width": 110,
+          "modes": 40
+        }
+      },
+      "NeuralOperator-FNO": {
+        "params": 1999585,
+        "rel_error": 0.0002075,
+        "ok": true,
+        "config": {
+          "width": 288,
+          "modes": 4
+        }
+      }
+    },
+    "burgers_1d": {
+      "CIDM-Foundation-v1": {
+        "params": 2002203,
+        "rel_error": 0.0011015,
+        "ok": true,
+        "config": {
+          "latent_dim": 120,
+          "hidden": 360
+        }
+      },
+      "CIDM-Complete": {
+        "params": 2000000,
+        "rel_error": 0.0,
+        "ok": true,
+        "config": {
+          "latent_dim": 52,
+          "hidden": 176,
+          "soc_modes1": 1,
+          "soc_modes2": 12
+        }
+      },
+      "PDEBench-FNO": {
+        "params": 1999837,
+        "rel_error": 8.15e-05,
+        "ok": true,
+        "config": {
+          "width": 110,
+          "modes": 40
+        }
+      },
+      "NeuralOperator-FNO": {
+        "params": 1999585,
+        "rel_error": 0.0002075,
+        "ok": true,
+        "config": {
+          "width": 288,
+          "modes": 4
+        }
+      }
+    },
+    "reacdiff_2d": {
+      "CIDM-Foundation-v1": {
+        "params": 1970136,
+        "rel_error": 0.014932,
+        "ok": true,
+        "config": {
+          "latent_dim": 84,
+          "hidden": 208
+        }
+      },
+      "CIDM-Complete": {
+        "params": 2000050,
+        "rel_error": 2.5e-05,
+        "ok": true,
+        "config": {
+          "latent_dim": 42,
+          "hidden": 108,
+          "soc_modes1": 12,
+          "soc_modes2": 14
+        }
+      },
+      "PDEBench-FNO": {
+        "params": 2006461,
+        "rel_error": 0.0032305,
+        "ok": true,
+        "config": {
+          "width": 25,
+          "modes": 20
+        }
+      },
+      "NeuralOperator-FNO": {
+        "params": 1999563,
+        "rel_error": 0.0002185,
+        "ok": true,
+        "config": {
+          "width": 89,
+          "modes": 10
+        }
+      }
+    }
+  }
+}
\ No newline at end of file
diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/A5_preflight.csv b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_preflight.csv
new file mode 100644
index 0000000000000000000000000000000000000000..f5b6f21ce9fe4eeca8bc7fa4d01c310d160f96dc
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_preflight.csv
@@ -0,0 +1,37 @@
+target_params,scale,task,model,params,pass,error
+125000,125K,advection_1d,CIDM-Foundation-v1,125815,True,
+125000,125K,advection_1d,CIDM-Complete,125038,True,
+125000,125K,advection_1d,PDEBench-FNO,125087,True,
+125000,125K,advection_1d,NeuralOperator-FNO,124931,True,
+125000,125K,burgers_1d,CIDM-Foundation-v1,125815,True,
+125000,125K,burgers_1d,CIDM-Complete,125038,True,
+125000,125K,burgers_1d,PDEBench-FNO,125087,True,
+125000,125K,burgers_1d,NeuralOperator-FNO,124931,True,
+125000,125K,reacdiff_2d,CIDM-Foundation-v1,124004,True,
+125000,125K,reacdiff_2d,CIDM-Complete,124958,True,
+125000,125K,reacdiff_2d,PDEBench-FNO,123476,True,
+125000,125K,reacdiff_2d,NeuralOperator-FNO,126312,True,
+500000,500K,advection_1d,CIDM-Foundation-v1,496331,True,
+500000,500K,advection_1d,CIDM-Complete,500022,True,
+500000,500K,advection_1d,PDEBench-FNO,499917,True,
+500000,500K,advection_1d,NeuralOperator-FNO,499897,True,
+500000,500K,burgers_1d,CIDM-Foundation-v1,496331,True,
+500000,500K,burgers_1d,CIDM-Complete,500022,True,
+500000,500K,burgers_1d,PDEBench-FNO,499917,True,
+500000,500K,burgers_1d,NeuralOperator-FNO,499897,True,
+500000,500K,reacdiff_2d,CIDM-Foundation-v1,484548,True,
+500000,500K,reacdiff_2d,CIDM-Complete,500084,True,
+500000,500K,reacdiff_2d,PDEBench-FNO,500281,True,
+500000,500K,reacdiff_2d,NeuralOperator-FNO,501141,True,
+2000000,2M,advection_1d,CIDM-Foundation-v1,2002203,True,
+2000000,2M,advection_1d,CIDM-Complete,2000000,True,
+2000000,2M,advection_1d,PDEBench-FNO,1999837,True,
+2000000,2M,advection_1d,NeuralOperator-FNO,1999585,True,
+2000000,2M,burgers_1d,CIDM-Foundation-v1,2002203,True,
+2000000,2M,burgers_1d,CIDM-Complete,2000000,True,
+2000000,2M,burgers_1d,PDEBench-FNO,1999837,True,
+2000000,2M,burgers_1d,NeuralOperator-FNO,1999585,True,
+2000000,2M,reacdiff_2d,CIDM-Foundation-v1,1970136,True,
+2000000,2M,reacdiff_2d,CIDM-Complete,2000050,True,
+2000000,2M,reacdiff_2d,PDEBench-FNO,2006461,True,
+2000000,2M,reacdiff_2d,NeuralOperator-FNO,1999563,True,
diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/A5_progress_manifest.json b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_progress_manifest.json
index 4b3e3dd773410ea8e78ad053684be64c93a3501b..8230e668d4175752fae88d4a11af3618671f03cb 100644
--- a/A5_Final_Scaling_Compute_Saturation_3Seed/A5_progress_manifest.json
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_progress_manifest.json
@@ -3,11 +3,11 @@
   "scaling_completed": 72,
   "saturation_expected": 36,
   "saturation_completed": 36,
-  "checkpoints": 1,
+  "checkpoints": 0,
   "repo_id": "wuff-mann/CIDM-v1",
   "prefix": "A5_Final_Scaling_Compute_Saturation_3Seed",
-  "updated_at": "2026-10-07T01:08:13.431140+00:00",
-  "current_run": "A5SAT__500K__NeuralOperator-FNO__reacdiff_2d__s73",
+  "updated_at": "2026-10-07T01:09:05.494107+00:00",
+  "current_run": null,
   "current_step": null,
-  "event": "RUN_COMPLETED"
+  "event": "FINAL_PACKAGE"
 }
\ No newline at end of file
diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/A5_saturation_budget_seedwise.csv b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_saturation_budget_seedwise.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c7f92d332e1309d1492368ef92225ff084c3a8bc
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_saturation_budget_seedwise.csv
@@ -0,0 +1,145 @@
+model,task,family,seed,budget,val_rmse_current,best_val_rmse_so_far,best_step_so_far,long24_rmse_current,elapsed_gpu_seconds
+PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,41,1000,0.013029699137379724,0.012293676770315261,500,0.027349644237476135,99.03598151599726
+PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,41,2500,0.009559632837177635,0.009559632837177635,2500,0.02313371603969502,252.88800484700187
+PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,41,4000,0.006210238677883403,0.006210238677883403,4000,0.018477992953975307,406.8150506279999
+PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,41,8000,0.005303612447200953,0.004979926203092865,7500,0.0177915442346281,812.6898670709998
+CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,73,1000,0.004222359692831228,0.004222359692831228,1000,0.07577692821741633,303.5718181880002
+CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,73,2500,0.002694435761615233,0.002598410142842573,2250,0.015731801492972743,759.4046946130038
+CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,73,4000,0.0019469217693979047,0.0019469217693979047,4000,0.011253283730769888,1215.5188657640028
+CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,73,8000,0.0011364513230485193,0.0010096315440974444,7250,0.013146732417451238,2423.5902283100004
+CIDM-Foundation-v1,advection_1d,transport,41,1000,0.09640029733799668,0.07323935066133434,500,0.34410706853342593,29.05309276800108
+CIDM-Foundation-v1,advection_1d,transport,41,2500,0.0367806329008897,0.0367806329008897,2500,0.3330392724779488,80.34416275699914
+CIDM-Foundation-v1,advection_1d,transport,41,4000,0.03197624218730151,0.02737569092595322,3750,0.3265689357552328,131.33608908399765
+CIDM-Foundation-v1,advection_1d,transport,41,8000,0.014740553644841888,0.014740553644841888,8000,0.2620682437861704,266.9924089999986
+CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,73,1000,0.0074573066068397975,0.006351931633741535,750,0.018255607966632347,142.33686851200036
+CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,73,2500,0.00441430937492501,0.0041755447133599854,2250,0.011099038407026364,362.3203935679994
+CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,73,4000,0.0029360344183192028,0.0028004400090404172,3500,0.018757295235106008,582.5210265499991
+CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,73,8000,0.0016763598390455014,0.0016754990578960107,7750,0.01769496782982434,1167.2298676770006
+CIDM-Foundation-v1,advection_1d,transport,17,1000,0.05606982981641126,0.05606982981641126,1000,0.31978583069093397,29.175655103997997
+CIDM-Foundation-v1,advection_1d,transport,17,2500,0.03566545493789812,0.03566545493789812,2500,0.34660407571559637,80.33749968899792
+CIDM-Foundation-v1,advection_1d,transport,17,4000,0.02890915199139513,0.02890915199139513,4000,0.3308371360763043,131.27506738100055
+CIDM-Foundation-v1,advection_1d,transport,17,8000,0.01579146864368276,0.015759550258866578,7750,0.3035006009437442,268.3879515599983
+CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,17,1000,0.005801209189345748,0.005801209189345748,1000,0.017010110242274022,144.6712693619993
+CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,17,2500,0.003882090479693954,0.003882090479693954,2500,0.010652872309267324,365.1857766389985
+CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,17,4000,0.004197331936188317,0.002764135747426592,3750,0.015864870179975708,585.9787882029996
+CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,17,8000,0.0016972427733431435,0.0016972427733431435,8000,0.015735680059861066,1170.0593182509983
+PDEBench-FNO,advection_1d,transport,41,1000,0.02103091704170589,0.02103091704170589,1000,0.19971828848675507,43.65603241899953
+PDEBench-FNO,advection_1d,transport,41,2500,0.021343104640800224,0.02103091704170589,1000,0.1126269257807651,117.60693067000102
+PDEBench-FNO,advection_1d,transport,41,4000,0.020006924559694144,0.01929973947765995,3750,0.06208318788612046,190.81128278799588
+PDEBench-FNO,advection_1d,transport,41,8000,0.01704525189892242,0.016941460015284782,7750,0.04919207948758499,387.12816040899634
+CIDM-Complete,advection_1d,transport,17,1000,0.01713231392984654,0.01713231392984654,1000,0.7662404710307832,91.70521352099968
+CIDM-Complete,advection_1d,transport,17,2500,0.010482654874783283,0.010482654874783283,2500,0.781204031545566,236.90535137999905
+CIDM-Complete,advection_1d,transport,17,4000,0.010134795377464714,0.010134795377464714,4000,0.6875766202105923,379.9951810889979
+CIDM-Complete,advection_1d,transport,17,8000,0.006238930963730438,0.006238930963730438,8000,0.6503564522045194,756.9248618589991
+NeuralOperator-FNO,advection_1d,transport,17,1000,0.02379027619473833,0.014502080155588506,750,0.03822321729980457,73.93161399000019
+NeuralOperator-FNO,advection_1d,transport,17,2500,0.01755289286463539,0.014502080155588506,750,0.016182007484867023,193.16583914200237
+NeuralOperator-FNO,advection_1d,transport,17,4000,0.01750830208342093,0.014502080155588506,750,0.01671944356594984,311.5057548320001
+NeuralOperator-FNO,advection_1d,transport,17,8000,0.015608599805625057,0.014502080155588506,750,0.015268737850252472,629.5128952890009
+NeuralOperator-FNO,advection_1d,transport,73,1000,0.02309924626468754,0.019036705375632665,750,0.02640521185316588,75.10723962799966
+NeuralOperator-FNO,advection_1d,transport,73,2500,0.025395896446006618,0.019036705375632665,750,0.03602185966733866,195.96426436000183
+NeuralOperator-FNO,advection_1d,transport,73,4000,0.029372432979110442,0.019036705375632665,750,0.02580720138374751,315.9461471579998
+NeuralOperator-FNO,advection_1d,transport,73,8000,0.02494718198942733,0.019036705375632665,750,0.02024615000422611,636.1812760609973
+NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,17,1000,0.009213807364890953,0.009213807364890953,1000,0.025149473471552487,270.0564821480002
+NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,17,2500,0.006251788886120298,0.006251788886120298,2500,0.02157227084391353,678.0813616690066
+NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,17,4000,0.006691157124145884,0.005768743576198701,3500,0.022061236631118874,1086.5006515190034
+NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,17,8000,0.0050921671267104614,0.0050921671267104614,8000,0.01925945241842626,2168.9305500850023
+CIDM-Complete,advection_1d,transport,73,1000,0.02469007274847507,0.02469007274847507,1000,0.5050364395251699,88.92459547500039
+CIDM-Complete,advection_1d,transport,73,2500,0.04964091055316529,0.014634736653950474,2000,0.4769892384434279,229.20502758200018
+CIDM-Complete,advection_1d,transport,73,4000,0.009467798401864092,0.009467798401864092,4000,0.5206779681379452,369.802554093003
+CIDM-Complete,advection_1d,transport,73,8000,0.007082043448664731,0.006807295477601628,7500,0.492000097595085,770.9378134870058
+PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,17,1000,0.010164110865864596,0.010164110865864596,1000,0.023126621442963742,99.79752214399923
+PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,17,2500,0.011744892171963953,0.009355128825963623,2000,0.023075167335338168,254.3902514729998
+PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,17,4000,0.006960491304118903,0.0062085319443358515,3500,0.020219950526540017,408.98916160099907
+PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,17,8000,0.005020185606715128,0.004982897677874522,7750,0.017491027015364837,824.8209678830026
+NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,41,1000,0.010422461243250495,0.009718115160457449,750,0.02696547195204857,270.08493319000263
+NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,41,2500,0.006774635453745822,0.006774635453745822,2500,0.022070612050867765,678.2295289450049
+NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,41,4000,0.006403033199324439,0.006144388234328288,3500,0.022577215471582857,1086.1966262420028
+NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,41,8000,0.005282593233839565,0.005245603929202949,7500,0.020941343116658972,2169.4278985280034
+PDEBench-FNO,burgers_1d,nonlinear_transport,17,1000,0.05017262911769997,0.026439631385983216,750,0.244921243094887,44.3369156819972
+PDEBench-FNO,burgers_1d,nonlinear_transport,17,2500,0.025326229929701186,0.01594456999433452,2000,0.30426213331799495,118.4897053229979
+PDEBench-FNO,burgers_1d,nonlinear_transport,17,4000,0.016425041283361273,0.01594456999433452,2000,0.08576356119326094,193.02698907599915
+PDEBench-FNO,burgers_1d,nonlinear_transport,17,8000,0.014256868498845842,0.014256868498845842,8000,0.06663504055218726,390.2237693099996
+PDEBench-FNO,burgers_1d,nonlinear_transport,41,1000,0.031031617828422158,0.019438964638685826,750,0.30109480361526475,45.84287266500178
+PDEBench-FNO,burgers_1d,nonlinear_transport,41,2500,0.030391127333432716,0.018434188576255242,2250,0.38798496514724423,119.65301822000038
+PDEBench-FNO,burgers_1d,nonlinear_transport,41,4000,0.014259528592674355,0.01424437164003155,3250,0.10523045351036191,193.19012769500114
+PDEBench-FNO,burgers_1d,nonlinear_transport,41,8000,0.011367779460114445,0.011367779460114445,8000,0.06765176368736228,387.715141253997
+PDEBench-FNO,advection_1d,transport,73,1000,0.02887329191406049,0.016194760923902853,250,0.09916243372284066,45.50019092000002
+PDEBench-FNO,advection_1d,transport,73,2500,0.024229523622416812,0.016194760923902853,250,0.06322492459305128,122.87103305399796
+PDEBench-FNO,advection_1d,transport,73,4000,0.02393634126510527,0.016194760923902853,250,0.06592135067494122,197.0916540410035
+PDEBench-FNO,advection_1d,transport,73,8000,0.01765485460893465,0.016194760923902853,250,0.051716442573270086,395.8072564670001
+PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,73,1000,0.012903791765410183,0.01067336754037299,750,0.030199516081746387,100.27742171299906
+PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,73,2500,0.0080575455824778,0.0080575455824778,2500,0.021571509203567252,255.3945562689987
+PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,73,4000,0.007011065500234502,0.0061237584181969285,3500,0.019445893149521724,410.1355167099973
+PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,73,8000,0.005066246462852099,0.005059206092374501,7250,0.01729367582984802,823.3815955199971
+CIDM-Foundation-v1,burgers_1d,nonlinear_transport,73,1000,0.07088383507906099,0.07088383507906099,1000,0.2749316215169608,29.475130906997947
+CIDM-Foundation-v1,burgers_1d,nonlinear_transport,73,2500,0.05209886909345943,0.04885943079758782,2250,0.37954389118816545,81.14491016599641
+CIDM-Foundation-v1,burgers_1d,nonlinear_transport,73,4000,0.04825029393140008,0.04183369307211436,3750,0.3981185494320286,132.7425298379967
+CIDM-Foundation-v1,burgers_1d,nonlinear_transport,73,8000,0.02644199613702006,0.02644199613702006,8000,0.3443127828830735,271.03096285100037
+CIDM-Complete,burgers_1d,nonlinear_transport,41,1000,0.03005245924778805,0.03005245924778805,1000,0.4952464339423004,89.43236035299924
+CIDM-Complete,burgers_1d,nonlinear_transport,41,2500,0.020444096827236205,0.020444096827236205,2500,0.4867719210977099,230.52359435900144
+CIDM-Complete,burgers_1d,nonlinear_transport,41,4000,0.027912648657613955,0.017214431804708327,3500,0.45359368995432203,371.91985310499877
+CIDM-Complete,burgers_1d,nonlinear_transport,41,8000,0.013360283558442673,0.013360283558442673,8000,0.5123027133939974,748.1511765460018
+NeuralOperator-FNO,advection_1d,transport,41,1000,0.017538615286224177,0.017538615286224177,1000,0.034544233258422014,73.75576522399933
+NeuralOperator-FNO,advection_1d,transport,41,2500,0.01778761377227496,0.01384052937052208,1250,0.02391319508730307,193.34906183899875
+NeuralOperator-FNO,advection_1d,transport,41,4000,0.016729607634275973,0.01384052937052208,1250,0.02060687001267272,313.6105116789986
+NeuralOperator-FNO,advection_1d,transport,41,8000,0.014777944345551575,0.01384052937052208,1250,0.01642389151042675,631.775320808003
+CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,41,1000,0.005890675244841339,0.005890675244841339,1000,0.01722409546711311,144.51131776400143
+CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,41,2500,0.004039796570414792,0.004039796570414792,2500,0.01107787940209881,364.48762119699677
+CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,41,4000,0.0027589791168184607,0.0027589791168184607,4000,0.017577664817144224,584.8831919189979
+CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,41,8000,0.0016155353931926867,0.0016155353931926867,8000,0.01662038279120115,1167.5515188380014
+CIDM-Complete,burgers_1d,nonlinear_transport,17,1000,0.04722910271213004,0.03475893150327921,750,0.39846844646474305,93.27142361500228
+CIDM-Complete,burgers_1d,nonlinear_transport,17,2500,0.022030858476238688,0.018641121556048728,2250,0.4058148203599418,239.35789048900187
+CIDM-Complete,burgers_1d,nonlinear_transport,17,4000,0.016510945124404753,0.016510945124404753,4000,0.4929820905291963,382.80861320700205
+CIDM-Complete,burgers_1d,nonlinear_transport,17,8000,0.011720263767074765,0.011720263767074765,8000,0.5992830550343692,762.8041139710003
+NeuralOperator-FNO,burgers_1d,nonlinear_transport,17,1000,0.02420524816072711,0.02420524816072711,1000,0.06537970414754284,89.62727588800044
+NeuralOperator-FNO,burgers_1d,nonlinear_transport,17,2500,0.023445261715305477,0.01356721324709431,2000,0.05224791277410517,209.0950931369989
+NeuralOperator-FNO,burgers_1d,nonlinear_transport,17,4000,0.012000186102972564,0.012000186102972564,4000,0.027215551747193277,328.8997660749992
+NeuralOperator-FNO,burgers_1d,nonlinear_transport,17,8000,0.009641205770944147,0.009121645842647033,7750,0.023828688761054227,646.4999850979984
+CIDM-Complete,advection_1d,transport,41,1000,0.0679970670381163,0.022723903785930793,750,0.7988403058230943,89.76710829000513
+CIDM-Complete,advection_1d,transport,41,2500,0.045630002952854305,0.011733406041957582,2250,0.6843056759059832,230.8856389270004
+CIDM-Complete,advection_1d,transport,41,4000,0.009679039070657952,0.009006817776544865,3500,0.6033116276721977,372.3048235380047
+CIDM-Complete,advection_1d,transport,41,8000,0.006593298953043062,0.005922909502508088,7750,0.5881411440049359,746.890941616999
+CIDM-Foundation-v1,burgers_1d,nonlinear_transport,17,1000,0.08205731774575963,0.08205731774575963,1000,0.27895437928600836,29.364663000997098
+CIDM-Foundation-v1,burgers_1d,nonlinear_transport,17,2500,0.05247145361144416,0.05232340643984824,2000,0.3558692313649759,80.26159051200011
+CIDM-Foundation-v1,burgers_1d,nonlinear_transport,17,4000,0.04070472681535217,0.04070472681535217,4000,0.3561625168803697,131.32668591099718
+CIDM-Foundation-v1,burgers_1d,nonlinear_transport,17,8000,0.025240009643325224,0.025240009643325224,8000,0.2615781773954291,267.2582211839981
+PDEBench-FNO,burgers_1d,nonlinear_transport,73,1000,0.03922026401528115,0.027219945451155098,750,0.2849236512972096,45.48664711799938
+PDEBench-FNO,burgers_1d,nonlinear_transport,73,2500,0.03451646563632313,0.02184700357950703,2250,0.3421681213552763,120.62032672400528
+PDEBench-FNO,burgers_1d,nonlinear_transport,73,4000,0.014652004000243286,0.014652004000243286,4000,0.143036051449562,196.2146817380053
+PDEBench-FNO,burgers_1d,nonlinear_transport,73,8000,0.012148228530880826,0.011866731120634572,7500,0.09979924556712828,397.8489539610018
+CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,17,1000,0.004279419703997126,0.004279419703997126,1000,0.012040958678742414,303.3039213619995
+CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,17,2500,0.0032722044195691545,0.0032722044195691545,2500,0.011821041089189483,759.3607715270009
+CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,17,4000,0.002976965914355879,0.0017442635630578029,3500,0.009731286930036148,1214.8674982609991
+CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,17,8000,0.0008590630153635552,0.0008590630153635552,8000,0.014295972318599751,2421.213675424002
+CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,41,1000,0.0068645713543545,0.005562011154620474,500,0.03618560268112549,303.00445628300076
+CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,41,2500,0.0024017217462561874,0.0024017217462561874,2500,0.02839971897597116,758.7537004170008
+CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,41,4000,0.002199730322588206,0.002199730322588206,4000,0.02488852551709742,1214.2657669280015
+CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,41,8000,0.0010257503238172887,0.0008283821475312572,7750,0.00882736955887415,2418.830327675998
+NeuralOperator-FNO,burgers_1d,nonlinear_transport,73,1000,0.038184957141892545,0.015893440199932593,750,0.0927049120249838,76.35960767100187
+NeuralOperator-FNO,burgers_1d,nonlinear_transport,73,2500,0.021449423539696994,0.014736955082908306,2250,0.0645161802540405,197.56774712500192
+NeuralOperator-FNO,burgers_1d,nonlinear_transport,73,4000,0.012342149670418927,0.011569769544518415,3500,0.02979541429946067,318.6841944609987
+NeuralOperator-FNO,burgers_1d,nonlinear_transport,73,8000,0.010437354706691923,0.010222191721634225,7750,0.0241006492321879,641.4188587449971
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+CIDM-Foundation-v1,burgers_1d,nonlinear_transport,41,4000,0.04225155496992155,0.04225155496992155,4000,0.3445179621519317,130.869892652001
+CIDM-Foundation-v1,burgers_1d,nonlinear_transport,41,8000,0.027448887473127452,0.027448887473127452,8000,0.2676483892156646,265.752987083004
+CIDM-Foundation-v1,advection_1d,transport,73,1000,0.06515002231432754,0.06515002231432754,1000,0.32667079617402495,28.831782998000563
+CIDM-Foundation-v1,advection_1d,transport,73,2500,0.05911817189119252,0.04155028406594658,2250,0.34717505349872146,79.15261392200046
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+PDEBench-FNO,advection_1d,transport,17,1000,0.01456321058976471,0.01456321058976471,1000,0.09546476234452232,44.13456322500133
+PDEBench-FNO,advection_1d,transport,17,2500,0.019090372859688252,0.013186666308037673,2250,0.19227744741374833,118.59067696200145
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+PDEBench-FNO,advection_1d,transport,17,8000,0.01148844409101584,0.011092463725930918,4750,0.05074655082069326,393.6233388130022
+NeuralOperator-FNO,burgers_1d,nonlinear_transport,41,1000,0.024815378682839898,0.018206680472097163,750,0.08120270687184723,88.16567764700449
+NeuralOperator-FNO,burgers_1d,nonlinear_transport,41,2500,0.018211655550513885,0.01725458915482889,2000,0.05727843259658579,206.29864212100074
+NeuralOperator-FNO,burgers_1d,nonlinear_transport,41,4000,0.010408033011452577,0.010408033011452577,4000,0.02053532704211354,325.3051594839999
+NeuralOperator-FNO,burgers_1d,nonlinear_transport,41,8000,0.007162215518970128,0.007162215518970128,8000,0.015635232583002798,639.0745844370031
+CIDM-Complete,burgers_1d,nonlinear_transport,73,1000,0.03991648846127628,0.03401720075144531,750,0.505482422733667,91.48601979200612
+CIDM-Complete,burgers_1d,nonlinear_transport,73,2500,0.0422479558040858,0.019318381106652342,2000,0.44324074220913384,235.8108278610016
+CIDM-Complete,burgers_1d,nonlinear_transport,73,4000,0.01790911543566184,0.016400372634694623,3750,0.4621140045295271,383.91672505100723
+CIDM-Complete,burgers_1d,nonlinear_transport,73,8000,0.012418886443016582,0.012418886443016582,8000,0.47769969742587504,771.4239324370064
+NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,73,1000,0.011160217396675325,0.009792560878524197,750,0.02660815487707128,271.62476275699737
+NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,73,2500,0.007101913948165495,0.007101913948165495,2500,0.021692389120056704,680.5618393959958
+NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,73,4000,0.006465660359841035,0.006333122641985892,2750,0.02174004669192136,1089.9882445119947
+NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,73,8000,0.0051271391453407015,0.0051271391453407015,8000,0.01896947040654936,2173.742193129001
diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/A5_saturation_gain_2500_to_8000.csv b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_saturation_gain_2500_to_8000.csv
new file mode 100644
index 0000000000000000000000000000000000000000..8df46db20b178773eae258fa44dfa606d3345335
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_saturation_gain_2500_to_8000.csv
@@ -0,0 +1,13 @@
+task,model,best_val_2500,best_val_8000,val_gain_2500_to_8000_pct,long24_2500,long24_8000,long24_gain_2500_to_8000_pct,descriptive_saturated_at_2500
+advection_1d,CIDM-Complete,0.012283599190230447,0.006323045314613384,48.52449012141074,0.647499648631659,0.5768325646015134,10.913841293888593,False
+advection_1d,CIDM-Foundation-v1,0.03799879063491147,0.015058738852656498,60.37047863617731,0.3422728005640889,0.2879100925819818,15.882859488838617,False
+advection_1d,NeuralOperator-FNO,0.015793104967247753,0.015793104967247753,0.0,0.02537235407983625,0.017312926454968444,31.76460331393822,True
+advection_1d,PDEBench-FNO,0.016804114757882137,0.014742894888372852,12.266161587253203,0.12270976592918824,0.050551690960516114,58.80385674463121,False
+burgers_1d,CIDM-Complete,0.019467866496645756,0.012499811256178007,35.792598237040096,0.44527582788892855,0.5297618219514139,-18.973855927243335,False
+burgers_1d,CIDM-Foundation-v1,0.04986823569458484,0.026376964417824247,47.10668213856921,0.3728784915311674,0.2911797831647224,21.910276463241946,False
+burgers_1d,NeuralOperator-FNO,0.015186252494943835,0.008835351027750462,41.82007028598968,0.05801417520824382,0.02118819019208164,63.47756368848488,False
+burgers_1d,PDEBench-FNO,0.01874192071669893,0.012497126359864953,33.319927296832,0.3448050732735051,0.0780286832688926,77.37020440908682,False
+reacdiff_2d,CIDM-Complete,0.0027574454362226386,0.000899025568997419,67.39643304677777,0.01865085385271113,0.012090024764975046,35.17709773261875,False
+reacdiff_2d,CIDM-Foundation-v1,0.0040324772544895774,0.0016627590748106134,58.76581639835978,0.010943263372797501,0.01668367689362885,-52.456139684079325,False
+reacdiff_2d,NeuralOperator-FNO,0.006709446096010538,0.005154970067084704,23.168470342881676,0.021778424004945996,0.019723421980544862,9.435953785886584,False
+reacdiff_2d,PDEBench-FNO,0.00899076908187302,0.005007343324447296,44.30572869963943,0.022593464192866813,0.01752541569328032,22.431480433118228,False
diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/A5_saturation_rank_stability.csv b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_saturation_rank_stability.csv
new file mode 100644
index 0000000000000000000000000000000000000000..08d720559dcfde43fc77ba23d812b70d143b2843
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_saturation_rank_stability.csv
@@ -0,0 +1,13 @@
+task,model,rank2500,rank8000,rank_change
+advection_1d,CIDM-Complete,1,1,0
+advection_1d,CIDM-Foundation-v1,4,3,-1
+advection_1d,NeuralOperator-FNO,2,4,2
+advection_1d,PDEBench-FNO,3,2,-1
+burgers_1d,CIDM-Complete,3,3,0
+burgers_1d,CIDM-Foundation-v1,4,4,0
+burgers_1d,NeuralOperator-FNO,1,1,0
+burgers_1d,PDEBench-FNO,2,2,0
+reacdiff_2d,CIDM-Complete,1,1,0
+reacdiff_2d,CIDM-Foundation-v1,2,2,0
+reacdiff_2d,NeuralOperator-FNO,3,4,1
+reacdiff_2d,PDEBench-FNO,4,3,-1
diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/A5_saturation_run_results.csv b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_saturation_run_results.csv
new file mode 100644
index 0000000000000000000000000000000000000000..18701d7a1e55e39588def6e8402b70725ac49609
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_saturation_run_results.csv
@@ -0,0 +1,37 @@
+status,experiment,target_params,scale,model,task,family,seed,params,lr,actual_updates,best_val_rmse,best_val_step,train_gpu_seconds,peak_vram_bytes,budget_records,test8k_rmse,test8k_mae,test8k_relative_l2
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diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/A5_saturation_summary.csv b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_saturation_summary.csv
new file mode 100644
index 0000000000000000000000000000000000000000..f85adc21c7e1facc6fb06809eb26a92c6fa74fc8
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_saturation_summary.csv
@@ -0,0 +1,49 @@
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diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/A5_scaling_new_runs.csv b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_scaling_new_runs.csv
new file mode 100644
index 0000000000000000000000000000000000000000..155804081aa2594c118ae1e5bd77d4792a1deacd
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_scaling_new_runs.csv
@@ -0,0 +1,73 @@
+status,experiment,target_params,scale,model,task,family,seed,params,lr,microbatch,effective_batch,best_val_rmse,best_val_step,actual_updates,stop_reason,train_gpu_seconds,peak_vram_bytes,rmse,mae,relative_l2
+COMPLETED,SCALING,2000000,2M,NeuralOperator-FNO,burgers_1d,nonlinear_transport,41,1999585,0.003,8,16,0.060538690675044166,2500,2500,MAX_UPDATES,376.380562948998,566832640,0.0559839293855845,0.021206348319537938,0.057744703721255064
+COMPLETED,SCALING,125000,125K,CIDM-Foundation-v1,advection_1d,transport,41,125815,0.0001,16,16,0.04572878753045646,2500,2500,MAX_UPDATES,83.28247092999982,197602304,0.03071105133310277,0.018108293879777193,0.048184683080762625
+COMPLETED,SCALING,2000000,2M,PDEBench-FNO,burgers_1d,nonlinear_transport,41,1999837,0.003,8,16,0.010829321737193115,2500,2500,MAX_UPDATES,238.60291023600075,205201920,0.011106088476402648,0.0034733933862298727,0.01020797563251108
+COMPLETED,SCALING,2000000,2M,NeuralOperator-FNO,advection_1d,transport,41,1999585,0.003,8,16,0.06422793744121187,1300,1900,CONVERGED_PATIENCE,290.79242071800036,566832640,0.0504463308820716,0.030628471518866718,0.08373356563970447
+COMPLETED,SCALING,2000000,2M,NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,41,1999563,0.003,1,4,0.0052339306764536304,2500,2500,MAX_UPDATES,834.7668635160007,1118668288,0.005310597450591854,0.0032759716523287352,0.08781590360740665
+COMPLETED,SCALING,2000000,2M,NeuralOperator-FNO,burgers_1d,nonlinear_transport,73,1999585,0.003,8,16,0.06046375454631307,2500,2500,MAX_UPDATES,377.3081406839992,566832640,0.05782777978358299,0.022845410043373704,0.062130208127200603
+COMPLETED,SCALING,2000000,2M,CIDM-Foundation-v1,advection_1d,transport,17,2002203,0.0001,8,16,0.030778873393012957,2500,2500,MAX_UPDATES,154.3256116980001,371622400,0.01818630048776336,0.00976411672309041,0.02672787243500352
+COMPLETED,SCALING,125000,125K,CIDM-Complete,burgers_1d,nonlinear_transport,17,125038,0.001,16,16,0.016409914061346082,2500,2500,MAX_UPDATES,235.6021105110001,243351552,0.014284131873639135,0.006512317107990384,0.021460347110405564
+COMPLETED,SCALING,125000,125K,NeuralOperator-FNO,burgers_1d,nonlinear_transport,41,124931,0.003,16,16,0.03192345075488505,1400,2000,CONVERGED_PATIENCE,213.3501104830002,246831616,0.034657388806525954,0.010454968316480517,0.03356641449499875
+COMPLETED,SCALING,2000000,2M,CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,41,2000050,0.001,1,4,0.0020657542388013875,2400,2500,MAX_UPDATES,1251.3019456889997,2096558080,0.0021331856147046584,0.0014551381646015216,0.03075425504357554
+COMPLETED,SCALING,2000000,2M,CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,17,2000050,0.001,1,4,0.0020817239561986144,2500,2500,MAX_UPDATES,1251.799592071,2096558080,0.002148987822605295,0.0014577901674783789,0.031045338517287746
+COMPLETED,SCALING,2000000,2M,NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,73,1999563,0.003,1,4,0.005175745812862526,2500,2500,MAX_UPDATES,835.932256868,1118668288,0.005245672130977092,0.0031974071371223545,0.08675487137224991
+COMPLETED,SCALING,125000,125K,NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,41,126312,0.003,4,4,0.00781928518114517,2500,2500,MAX_UPDATES,285.3850306679997,1595475456,0.0078818970179517,0.004805004075024044,0.12999678004416637
+COMPLETED,SCALING,2000000,2M,CIDM-Foundation-v1,burgers_1d,nonlinear_transport,73,2002203,0.0001,8,16,0.03967175835240305,2400,2500,MAX_UPDATES,153.87362221999865,371622400,0.043419218548037805,0.018597205984406173,0.054618713445961475
+COMPLETED,SCALING,125000,125K,PDEBench-FNO,burgers_1d,nonlinear_transport,41,125087,0.003,16,16,0.03873810957099217,2500,2500,MAX_UPDATES,122.90191350199984,151137280,0.02086240827999824,0.00793517439160496,0.023063222295604646
+COMPLETED,SCALING,125000,125K,CIDM-Foundation-v1,advection_1d,transport,17,125815,0.0001,16,16,0.04954230967328605,2500,2500,MAX_UPDATES,83.45723370399992,197602304,0.03290406315827598,0.019534776103682816,0.0500515375752002
+COMPLETED,SCALING,125000,125K,NeuralOperator-FNO,advection_1d,transport,17,124931,0.003,16,16,0.04621548674097051,900,1500,CONVERGED_PATIENCE,118.90708351700005,246831616,0.03456152632602541,0.018429131130687892,0.05225908383727074
+COMPLETED,SCALING,2000000,2M,PDEBench-FNO,burgers_1d,nonlinear_transport,73,1999837,0.003,8,16,0.012555568290902144,2500,2500,MAX_UPDATES,231.66017390699926,205201920,0.012367641511417995,0.003667456767288968,0.01129169057821855
+COMPLETED,SCALING,2000000,2M,PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,17,2006461,0.003,1,4,0.00434379836568363,2500,2500,MAX_UPDATES,607.9467468540006,324001280,0.004438465634351042,0.0026551494920568075,0.0733831481920788
+COMPLETED,SCALING,125000,125K,CIDM-Foundation-v1,burgers_1d,nonlinear_transport,17,125815,0.0001,16,16,0.05971744709331515,2400,2500,MAX_UPDATES,84.21535566599982,197602304,0.05839756155931948,0.02316209371201694,0.08650105725973845
+COMPLETED,SCALING,2000000,2M,NeuralOperator-FNO,advection_1d,transport,73,1999585,0.003,8,16,0.06909913933479482,1700,2300,CONVERGED_PATIENCE,352.97962850399927,566832640,0.05550766554855959,0.034299496561288834,0.09153669746592641
+COMPLETED,SCALING,125000,125K,CIDM-Complete,advection_1d,transport,73,125038,0.001,16,16,0.013850983410603715,2500,2500,MAX_UPDATES,235.89784072200018,243351552,0.00736521955260326,0.004266831208951771,0.011706605844665319
+COMPLETED,SCALING,2000000,2M,CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,73,1970136,0.0001,1,4,0.0037182168886312704,2500,2500,MAX_UPDATES,1069.694663225,1481574912,0.003729742941126631,0.0021533394583457266,0.06177273621142376
+COMPLETED,SCALING,125000,125K,CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,73,124004,0.0001,4,4,0.005685694890142363,2500,2500,MAX_UPDATES,189.49026829800005,1421921280,0.005697639539745832,0.00358915994365816,0.09381345196743496
+COMPLETED,SCALING,125000,125K,CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,17,124958,0.001,4,4,0.0024561422446558634,2500,2500,MAX_UPDATES,357.250795035,2381838848,0.002512126562631868,0.0015958217900333693,0.03704018535790965
+COMPLETED,SCALING,125000,125K,PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,17,123476,0.003,4,4,0.008312198159228904,2500,2500,MAX_UPDATES,197.01073353099991,909732352,0.008361771263750303,0.00490770849501132,0.1373149838327663
+COMPLETED,SCALING,125000,125K,NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,73,126312,0.003,4,4,0.007328633176524614,2500,2500,MAX_UPDATES,286.19617715000004,1595475456,0.007393915309566235,0.004505822220380651,0.12199229581165127
+COMPLETED,SCALING,125000,125K,CIDM-Foundation-v1,burgers_1d,nonlinear_transport,41,125815,0.0001,16,16,0.06103402243991606,2500,2500,MAX_UPDATES,84.03160606699976,197602304,0.05861264100622043,0.023786451667547226,0.07729625515639782
+COMPLETED,SCALING,125000,125K,CIDM-Complete,advection_1d,transport,17,125038,0.001,16,16,0.012657240679631617,2500,2500,MAX_UPDATES,234.86846535500013,243351552,0.00683715888696615,0.003936315828468651,0.010600735025946051
+COMPLETED,SCALING,2000000,2M,PDEBench-FNO,advection_1d,transport,17,1999837,0.003,8,16,0.015747042076795698,2500,2500,MAX_UPDATES,238.45168568700137,205201920,0.008075796042663242,0.0038217721739783883,0.009094324050238356
+COMPLETED,SCALING,2000000,2M,CIDM-Foundation-v1,advection_1d,transport,41,2002203,0.0001,8,16,0.0300005210450141,2500,2500,MAX_UPDATES,154.38099765600055,371622400,0.017807899938323157,0.009324104932602495,0.026322174700908363
+COMPLETED,SCALING,2000000,2M,CIDM-Complete,burgers_1d,nonlinear_transport,17,2000000,0.001,8,16,0.01546142724447196,2500,2500,MAX_UPDATES,462.8131854989988,484325888,0.013478464341110552,0.0058982198243029416,0.019691786961629987
+COMPLETED,SCALING,125000,125K,CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,73,124958,0.001,4,4,0.0028335030202532125,2500,2500,MAX_UPDATES,358.2449084830005,2381838848,0.002947375503451269,0.0019934068423026474,0.041507963149342686
+COMPLETED,SCALING,2000000,2M,CIDM-Complete,advection_1d,transport,41,2000000,0.001,8,16,0.00861724323789393,2500,2500,MAX_UPDATES,459.96752230200036,484325888,0.008424377983364786,0.004412616544868797,0.012197204807307571
+COMPLETED,SCALING,2000000,2M,PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,73,2006461,0.003,1,4,0.004392507510384665,2500,2500,MAX_UPDATES,609.417569366,324001280,0.004453679883696217,0.00271866557886824,0.07357854982546996
+COMPLETED,SCALING,2000000,2M,CIDM-Complete,burgers_1d,nonlinear_transport,41,2000000,0.001,8,16,0.012531105803080245,2400,2500,MAX_UPDATES,465.40244330599853,484325888,0.010361594315271186,0.004679687321186066,0.014464969513937831
+COMPLETED,SCALING,2000000,2M,CIDM-Complete,burgers_1d,nonlinear_transport,73,2000000,0.001,8,16,0.01537981601441043,2500,2500,MAX_UPDATES,458.5482825870022,484325888,0.014001181284902488,0.005835417832713574,0.018029157537966967
+COMPLETED,SCALING,125000,125K,NeuralOperator-FNO,advection_1d,transport,41,124931,0.003,16,16,0.05048499338835249,1300,1900,CONVERGED_PATIENCE,151.77952146400003,246831616,0.035222002568591655,0.01792812708299607,0.05297654261812568
+COMPLETED,SCALING,2000000,2M,NeuralOperator-FNO,advection_1d,transport,17,1999585,0.003,8,16,0.05060974309979205,2000,2200,CONVERGED_PATIENCE,340.4273444490009,566832640,0.038137683428805115,0.021086832392029464,0.06141250696964562
+COMPLETED,SCALING,2000000,2M,NeuralOperator-FNO,burgers_1d,nonlinear_transport,17,1999585,0.003,8,16,0.05984789581848559,2400,2500,MAX_UPDATES,380.5205959070008,566832640,0.0536609209515248,0.020497578312642872,0.05534838559105992
+COMPLETED,SCALING,125000,125K,CIDM-Foundation-v1,burgers_1d,nonlinear_transport,73,125815,0.0001,16,16,0.06084332228956382,2500,2500,MAX_UPDATES,83.52390089799974,197602304,0.05838442643022586,0.025344707304611802,0.07495142472907901
+COMPLETED,SCALING,2000000,2M,CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,73,2000050,0.001,1,4,0.001945228591115536,2500,2500,MAX_UPDATES,1256.1632635130009,2096558080,0.0019846368632395976,0.00131821587910963,0.02885559001879301
+COMPLETED,SCALING,125000,125K,NeuralOperator-FNO,advection_1d,transport,73,124931,0.003,16,16,0.04794904693338562,1100,1700,CONVERGED_PATIENCE,136.15784882599928,246831616,0.03766316054753208,0.02000215428415686,0.05598161811940372
+COMPLETED,SCALING,125000,125K,PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,41,123476,0.003,4,4,0.007756463226267721,2500,2500,MAX_UPDATES,195.24960383599955,909732352,0.007843573321331569,0.004691968986662687,0.12898191213025711
+COMPLETED,SCALING,125000,125K,CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,41,124958,0.001,4,4,0.002435257595476589,2400,2500,MAX_UPDATES,358.861452223,2381838848,0.0025540513412144012,0.0016835782716952963,0.03522176250407938
+COMPLETED,SCALING,2000000,2M,CIDM-Foundation-v1,advection_1d,transport,73,2002203,0.0001,8,16,0.029720686093471695,2500,2500,MAX_UPDATES,160.61239328599913,371622400,0.017637701122699488,0.008887078089173883,0.02544698992278427
+COMPLETED,SCALING,125000,125K,CIDM-Complete,burgers_1d,nonlinear_transport,73,125038,0.001,16,16,0.01569322611583937,2500,2500,MAX_UPDATES,234.65291266800068,243351552,0.013761728533666267,0.006417404278181493,0.021074054879136384
+COMPLETED,SCALING,125000,125K,PDEBench-FNO,advection_1d,transport,17,125087,0.003,16,16,0.052054337866524865,2300,2500,MAX_UPDATES,121.1119734670001,151137280,0.01836761172373287,0.008607521216617897,0.026469709002412856
+COMPLETED,SCALING,2000000,2M,PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,41,2006461,0.003,1,4,0.003568669845739385,2500,2500,MAX_UPDATES,607.4351048140015,324001280,0.0036367532640131494,0.002281730105096358,0.05971964525815565
+COMPLETED,SCALING,2000000,2M,PDEBench-FNO,advection_1d,transport,41,1999837,0.003,8,16,0.013357510141239138,2100,2300,CONVERGED_PATIENCE,219.42863543899875,205201920,0.004097168109473494,0.002198846181272529,0.005466300237458199
+COMPLETED,SCALING,2000000,2M,PDEBench-FNO,advection_1d,transport,73,1999837,0.003,8,16,0.012502103035976637,2400,2500,MAX_UPDATES,237.41261461999966,205201920,0.004312537152434278,0.002206610923167318,0.005539872276131064
+COMPLETED,SCALING,125000,125K,CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,17,124004,0.0001,4,4,0.005849950497893452,2500,2500,MAX_UPDATES,188.14404502100024,1421921280,0.005879046578335092,0.003731114244146738,0.09653262645588256
+COMPLETED,SCALING,125000,125K,CIDM-Foundation-v1,advection_1d,transport,73,125815,0.0001,16,16,0.04979849707066025,2400,2500,MAX_UPDATES,86.19181432699952,197602304,0.03460672944461143,0.02034832094796002,0.05036830622702837
+COMPLETED,SCALING,2000000,2M,NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,17,1999563,0.003,1,4,0.005183068754238468,2500,2500,MAX_UPDATES,844.928200585,1118668288,0.005260383307075893,0.003222679077225621,0.08695721162075642
+COMPLETED,SCALING,2000000,2M,CIDM-Foundation-v1,burgers_1d,nonlinear_transport,17,2002203,0.0001,8,16,0.03866856353422073,2500,2500,MAX_UPDATES,153.29640964399914,371622400,0.04306669068722367,0.017786769778467715,0.05187427345663309
+COMPLETED,SCALING,125000,125K,PDEBench-FNO,advection_1d,transport,73,125087,0.003,16,16,0.05143874097225145,2100,2500,MAX_UPDATES,121.14640336800039,151137280,0.01879261033710881,0.00945389922708273,0.02778018719982356
+COMPLETED,SCALING,2000000,2M,CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,17,1970136,0.0001,1,4,0.003977968859441523,2500,2500,MAX_UPDATES,1068.583473052,1481574912,0.003992014713761066,0.002295682938893151,0.06609529329580255
+COMPLETED,SCALING,125000,125K,PDEBench-FNO,burgers_1d,nonlinear_transport,17,125087,0.003,16,16,0.039597554121956445,2500,2500,MAX_UPDATES,121.9105507700001,151137280,0.021461172560110906,0.008288397511932999,0.022961873561143875
+COMPLETED,SCALING,125000,125K,PDEBench-FNO,burgers_1d,nonlinear_transport,73,125087,0.003,16,16,0.0376221533377913,2500,2500,MAX_UPDATES,121.22432009100066,151137280,0.019519920620889655,0.007586041174363345,0.02147495257668197
+COMPLETED,SCALING,125000,125K,PDEBench-FNO,advection_1d,transport,41,125087,0.003,16,16,0.06308981862484239,2400,2500,MAX_UPDATES,123.10993696600008,151137280,0.024154561347409797,0.010745886946097016,0.03274305525701493
+COMPLETED,SCALING,125000,125K,PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,73,123476,0.003,4,4,0.008084458029201432,2400,2500,MAX_UPDATES,195.6659350939999,909732352,0.008134540702029914,0.004772265574501944,0.13362099292862695
+COMPLETED,SCALING,2000000,2M,CIDM-Complete,advection_1d,transport,73,2000000,0.001,8,16,0.009456860825278302,2500,2500,MAX_UPDATES,462.3610187669983,484325888,0.008686760752138712,0.004606351692928001,0.01265348494052887
+COMPLETED,SCALING,125000,125K,NeuralOperator-FNO,burgers_1d,nonlinear_transport,17,124931,0.003,16,16,0.03410642545619027,1500,2100,CONVERGED_PATIENCE,171.27581755099982,246831616,0.03695702934166064,0.010834378248546273,0.033650928642600775
+COMPLETED,SCALING,2000000,2M,PDEBench-FNO,burgers_1d,nonlinear_transport,17,1999837,0.003,8,16,0.01824018870463532,2500,2500,MAX_UPDATES,238.22326997500022,205201920,0.013573258793503512,0.004175346402917057,0.01229961565695703
+COMPLETED,SCALING,2000000,2M,CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,41,1970136,0.0001,1,4,0.004007333813356165,2500,2500,MAX_UPDATES,1067.0363181689972,1481574912,0.004007049124215483,0.0023452422938134987,0.06637312217208091
+COMPLETED,SCALING,2000000,2M,CIDM-Complete,advection_1d,transport,17,2000000,0.001,8,16,0.009458386649165663,2500,2500,MAX_UPDATES,467.4472568910005,484325888,0.011534974866243056,0.006062477797968313,0.016870216990355402
+COMPLETED,SCALING,125000,125K,CIDM-Complete,advection_1d,transport,41,125038,0.001,16,16,0.01615579235703149,2400,2500,MAX_UPDATES,235.20236032000003,243351552,0.007383032283090856,0.004004667047411203,0.011197678628377616
+COMPLETED,SCALING,125000,125K,NeuralOperator-FNO,burgers_1d,nonlinear_transport,73,124931,0.003,16,16,0.0316462245664113,2000,2500,MAX_UPDATES,210.1802476160001,246831616,0.036871421365646584,0.010136492375750095,0.03153797017876059
+COMPLETED,SCALING,125000,125K,CIDM-Complete,burgers_1d,nonlinear_transport,41,125038,0.001,16,16,0.017337077690241568,2500,2500,MAX_UPDATES,237.36377328099934,243351552,0.014664867805360842,0.006613159028347582,0.022849363973364234
+COMPLETED,SCALING,125000,125K,NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,17,126312,0.003,4,4,0.006647321657038076,2500,2500,MAX_UPDATES,284.13857999899983,1595475456,0.006709889390320094,0.004177068312856136,0.11089651663496625
+COMPLETED,SCALING,125000,125K,CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,41,124004,0.0001,4,4,0.005688954216795229,2500,2500,MAX_UPDATES,204.68396419500004,1421921280,0.0057358585495432286,0.0036177783713355893,0.09397534941672347
+COMPLETED,SCALING,2000000,2M,CIDM-Foundation-v1,burgers_1d,nonlinear_transport,41,2002203,0.0001,8,16,0.04045896082259829,2200,2500,MAX_UPDATES,160.8752249019999,371622400,0.045257835956510326,0.019862313056364655,0.061942953150719404
diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/A5_scaling_seedwise.csv b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_scaling_seedwise.csv
new file mode 100644
index 0000000000000000000000000000000000000000..06c57fbfc76ed1f28f2b219a58eeb2206f2e9812
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_scaling_seedwise.csv
@@ -0,0 +1,109 @@
+status,experiment,target_params,scale,model,task,family,seed,params,lr,microbatch,effective_batch,best_val_rmse,best_val_step,actual_updates,stop_reason,train_gpu_seconds,peak_vram_bytes,rmse,mae,relative_l2,train_gpu_seconds_old_session,peak_vram_bytes_old_session
+COMPLETED,SCALING,2000000,2M,NeuralOperator-FNO,burgers_1d,nonlinear_transport,41,1999585,0.003,8.0,16.0,0.060538690675044166,2500,2500,MAX_UPDATES,376.380562948998,566832640.0,0.0559839293855845,0.021206348319537938,0.057744703721255064,,
+COMPLETED,SCALING,125000,125K,CIDM-Foundation-v1,advection_1d,transport,41,125815,0.0001,16.0,16.0,0.04572878753045646,2500,2500,MAX_UPDATES,83.28247092999982,197602304.0,0.03071105133310277,0.018108293879777193,0.048184683080762625,,
+COMPLETED,SCALING,2000000,2M,PDEBench-FNO,burgers_1d,nonlinear_transport,41,1999837,0.003,8.0,16.0,0.010829321737193115,2500,2500,MAX_UPDATES,238.60291023600075,205201920.0,0.011106088476402648,0.0034733933862298727,0.01020797563251108,,
+COMPLETED,SCALING,2000000,2M,NeuralOperator-FNO,advection_1d,transport,41,1999585,0.003,8.0,16.0,0.06422793744121187,1300,1900,CONVERGED_PATIENCE,290.79242071800036,566832640.0,0.0504463308820716,0.030628471518866718,0.08373356563970447,,
+COMPLETED,SCALING,2000000,2M,NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,41,1999563,0.003,1.0,4.0,0.0052339306764536304,2500,2500,MAX_UPDATES,834.7668635160007,1118668288.0,0.005310597450591854,0.0032759716523287352,0.08781590360740665,,
+COMPLETED,SCALING,2000000,2M,NeuralOperator-FNO,burgers_1d,nonlinear_transport,73,1999585,0.003,8.0,16.0,0.06046375454631307,2500,2500,MAX_UPDATES,377.3081406839992,566832640.0,0.05782777978358299,0.022845410043373704,0.062130208127200603,,
+COMPLETED,SCALING,2000000,2M,CIDM-Foundation-v1,advection_1d,transport,17,2002203,0.0001,8.0,16.0,0.030778873393012957,2500,2500,MAX_UPDATES,154.3256116980001,371622400.0,0.01818630048776336,0.00976411672309041,0.02672787243500352,,
+COMPLETED,SCALING,125000,125K,CIDM-Complete,burgers_1d,nonlinear_transport,17,125038,0.001,16.0,16.0,0.016409914061346082,2500,2500,MAX_UPDATES,235.6021105110001,243351552.0,0.014284131873639135,0.006512317107990384,0.021460347110405564,,
+COMPLETED,SCALING,125000,125K,NeuralOperator-FNO,burgers_1d,nonlinear_transport,41,124931,0.003,16.0,16.0,0.03192345075488505,1400,2000,CONVERGED_PATIENCE,213.3501104830002,246831616.0,0.034657388806525954,0.010454968316480517,0.03356641449499875,,
+COMPLETED,SCALING,2000000,2M,CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,41,2000050,0.001,1.0,4.0,0.0020657542388013875,2400,2500,MAX_UPDATES,1251.3019456889997,2096558080.0,0.0021331856147046584,0.0014551381646015216,0.03075425504357554,,
+COMPLETED,SCALING,2000000,2M,CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,17,2000050,0.001,1.0,4.0,0.0020817239561986144,2500,2500,MAX_UPDATES,1251.799592071,2096558080.0,0.002148987822605295,0.0014577901674783789,0.031045338517287746,,
+COMPLETED,SCALING,2000000,2M,NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,73,1999563,0.003,1.0,4.0,0.005175745812862526,2500,2500,MAX_UPDATES,835.932256868,1118668288.0,0.005245672130977092,0.0031974071371223545,0.08675487137224991,,
+COMPLETED,SCALING,125000,125K,NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,41,126312,0.003,4.0,4.0,0.00781928518114517,2500,2500,MAX_UPDATES,285.3850306679997,1595475456.0,0.0078818970179517,0.004805004075024044,0.12999678004416637,,
+COMPLETED,SCALING,2000000,2M,CIDM-Foundation-v1,burgers_1d,nonlinear_transport,73,2002203,0.0001,8.0,16.0,0.03967175835240305,2400,2500,MAX_UPDATES,153.87362221999865,371622400.0,0.043419218548037805,0.018597205984406173,0.054618713445961475,,
+COMPLETED,SCALING,125000,125K,PDEBench-FNO,burgers_1d,nonlinear_transport,41,125087,0.003,16.0,16.0,0.03873810957099217,2500,2500,MAX_UPDATES,122.90191350199984,151137280.0,0.02086240827999824,0.00793517439160496,0.023063222295604646,,
+COMPLETED,SCALING,125000,125K,CIDM-Foundation-v1,advection_1d,transport,17,125815,0.0001,16.0,16.0,0.04954230967328605,2500,2500,MAX_UPDATES,83.45723370399992,197602304.0,0.03290406315827598,0.019534776103682816,0.0500515375752002,,
+COMPLETED,SCALING,125000,125K,NeuralOperator-FNO,advection_1d,transport,17,124931,0.003,16.0,16.0,0.04621548674097051,900,1500,CONVERGED_PATIENCE,118.90708351700005,246831616.0,0.03456152632602541,0.018429131130687892,0.05225908383727074,,
+COMPLETED,SCALING,2000000,2M,PDEBench-FNO,burgers_1d,nonlinear_transport,73,1999837,0.003,8.0,16.0,0.012555568290902144,2500,2500,MAX_UPDATES,231.66017390699926,205201920.0,0.012367641511417995,0.003667456767288968,0.01129169057821855,,
+COMPLETED,SCALING,2000000,2M,PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,17,2006461,0.003,1.0,4.0,0.00434379836568363,2500,2500,MAX_UPDATES,607.9467468540006,324001280.0,0.004438465634351042,0.0026551494920568075,0.0733831481920788,,
+COMPLETED,SCALING,125000,125K,CIDM-Foundation-v1,burgers_1d,nonlinear_transport,17,125815,0.0001,16.0,16.0,0.05971744709331515,2400,2500,MAX_UPDATES,84.21535566599982,197602304.0,0.05839756155931948,0.02316209371201694,0.08650105725973845,,
+COMPLETED,SCALING,2000000,2M,NeuralOperator-FNO,advection_1d,transport,73,1999585,0.003,8.0,16.0,0.06909913933479482,1700,2300,CONVERGED_PATIENCE,352.97962850399927,566832640.0,0.05550766554855959,0.034299496561288834,0.09153669746592641,,
+COMPLETED,SCALING,125000,125K,CIDM-Complete,advection_1d,transport,73,125038,0.001,16.0,16.0,0.013850983410603715,2500,2500,MAX_UPDATES,235.89784072200018,243351552.0,0.00736521955260326,0.004266831208951771,0.011706605844665319,,
+COMPLETED,SCALING,2000000,2M,CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,73,1970136,0.0001,1.0,4.0,0.0037182168886312704,2500,2500,MAX_UPDATES,1069.694663225,1481574912.0,0.003729742941126631,0.0021533394583457266,0.06177273621142376,,
+COMPLETED,SCALING,125000,125K,CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,73,124004,0.0001,4.0,4.0,0.005685694890142363,2500,2500,MAX_UPDATES,189.49026829800005,1421921280.0,0.005697639539745832,0.00358915994365816,0.09381345196743496,,
+COMPLETED,SCALING,125000,125K,CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,17,124958,0.001,4.0,4.0,0.0024561422446558634,2500,2500,MAX_UPDATES,357.250795035,2381838848.0,0.002512126562631868,0.0015958217900333693,0.03704018535790965,,
+COMPLETED,SCALING,125000,125K,PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,17,123476,0.003,4.0,4.0,0.008312198159228904,2500,2500,MAX_UPDATES,197.01073353099991,909732352.0,0.008361771263750303,0.00490770849501132,0.1373149838327663,,
+COMPLETED,SCALING,125000,125K,NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,73,126312,0.003,4.0,4.0,0.007328633176524614,2500,2500,MAX_UPDATES,286.19617715000004,1595475456.0,0.007393915309566235,0.004505822220380651,0.12199229581165127,,
+COMPLETED,SCALING,125000,125K,CIDM-Foundation-v1,burgers_1d,nonlinear_transport,41,125815,0.0001,16.0,16.0,0.06103402243991606,2500,2500,MAX_UPDATES,84.03160606699976,197602304.0,0.05861264100622043,0.023786451667547226,0.07729625515639782,,
+COMPLETED,SCALING,125000,125K,CIDM-Complete,advection_1d,transport,17,125038,0.001,16.0,16.0,0.012657240679631617,2500,2500,MAX_UPDATES,234.86846535500013,243351552.0,0.00683715888696615,0.003936315828468651,0.010600735025946051,,
+COMPLETED,SCALING,2000000,2M,PDEBench-FNO,advection_1d,transport,17,1999837,0.003,8.0,16.0,0.015747042076795698,2500,2500,MAX_UPDATES,238.45168568700137,205201920.0,0.008075796042663242,0.0038217721739783883,0.009094324050238356,,
+COMPLETED,SCALING,2000000,2M,CIDM-Foundation-v1,advection_1d,transport,41,2002203,0.0001,8.0,16.0,0.0300005210450141,2500,2500,MAX_UPDATES,154.38099765600055,371622400.0,0.017807899938323157,0.009324104932602495,0.026322174700908363,,
+COMPLETED,SCALING,2000000,2M,CIDM-Complete,burgers_1d,nonlinear_transport,17,2000000,0.001,8.0,16.0,0.01546142724447196,2500,2500,MAX_UPDATES,462.8131854989988,484325888.0,0.013478464341110552,0.0058982198243029416,0.019691786961629987,,
+COMPLETED,SCALING,125000,125K,CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,73,124958,0.001,4.0,4.0,0.0028335030202532125,2500,2500,MAX_UPDATES,358.2449084830005,2381838848.0,0.002947375503451269,0.0019934068423026474,0.041507963149342686,,
+COMPLETED,SCALING,2000000,2M,CIDM-Complete,advection_1d,transport,41,2000000,0.001,8.0,16.0,0.00861724323789393,2500,2500,MAX_UPDATES,459.96752230200036,484325888.0,0.008424377983364786,0.004412616544868797,0.012197204807307571,,
+COMPLETED,SCALING,2000000,2M,PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,73,2006461,0.003,1.0,4.0,0.004392507510384665,2500,2500,MAX_UPDATES,609.417569366,324001280.0,0.004453679883696217,0.00271866557886824,0.07357854982546996,,
+COMPLETED,SCALING,2000000,2M,CIDM-Complete,burgers_1d,nonlinear_transport,41,2000000,0.001,8.0,16.0,0.012531105803080245,2400,2500,MAX_UPDATES,465.40244330599853,484325888.0,0.010361594315271186,0.004679687321186066,0.014464969513937831,,
+COMPLETED,SCALING,2000000,2M,CIDM-Complete,burgers_1d,nonlinear_transport,73,2000000,0.001,8.0,16.0,0.01537981601441043,2500,2500,MAX_UPDATES,458.5482825870022,484325888.0,0.014001181284902488,0.005835417832713574,0.018029157537966967,,
+COMPLETED,SCALING,125000,125K,NeuralOperator-FNO,advection_1d,transport,41,124931,0.003,16.0,16.0,0.05048499338835249,1300,1900,CONVERGED_PATIENCE,151.77952146400003,246831616.0,0.035222002568591655,0.01792812708299607,0.05297654261812568,,
+COMPLETED,SCALING,2000000,2M,NeuralOperator-FNO,advection_1d,transport,17,1999585,0.003,8.0,16.0,0.05060974309979205,2000,2200,CONVERGED_PATIENCE,340.4273444490009,566832640.0,0.038137683428805115,0.021086832392029464,0.06141250696964562,,
+COMPLETED,SCALING,2000000,2M,NeuralOperator-FNO,burgers_1d,nonlinear_transport,17,1999585,0.003,8.0,16.0,0.05984789581848559,2400,2500,MAX_UPDATES,380.5205959070008,566832640.0,0.0536609209515248,0.020497578312642872,0.05534838559105992,,
+COMPLETED,SCALING,125000,125K,CIDM-Foundation-v1,burgers_1d,nonlinear_transport,73,125815,0.0001,16.0,16.0,0.06084332228956382,2500,2500,MAX_UPDATES,83.52390089799974,197602304.0,0.05838442643022586,0.025344707304611802,0.07495142472907901,,
+COMPLETED,SCALING,2000000,2M,CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,73,2000050,0.001,1.0,4.0,0.001945228591115536,2500,2500,MAX_UPDATES,1256.1632635130009,2096558080.0,0.0019846368632395976,0.00131821587910963,0.02885559001879301,,
+COMPLETED,SCALING,125000,125K,NeuralOperator-FNO,advection_1d,transport,73,124931,0.003,16.0,16.0,0.04794904693338562,1100,1700,CONVERGED_PATIENCE,136.15784882599928,246831616.0,0.03766316054753208,0.02000215428415686,0.05598161811940372,,
+COMPLETED,SCALING,125000,125K,PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,41,123476,0.003,4.0,4.0,0.007756463226267721,2500,2500,MAX_UPDATES,195.24960383599955,909732352.0,0.007843573321331569,0.004691968986662687,0.12898191213025711,,
+COMPLETED,SCALING,125000,125K,CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,41,124958,0.001,4.0,4.0,0.002435257595476589,2400,2500,MAX_UPDATES,358.861452223,2381838848.0,0.0025540513412144012,0.0016835782716952963,0.03522176250407938,,
+COMPLETED,SCALING,2000000,2M,CIDM-Foundation-v1,advection_1d,transport,73,2002203,0.0001,8.0,16.0,0.029720686093471695,2500,2500,MAX_UPDATES,160.61239328599913,371622400.0,0.017637701122699488,0.008887078089173883,0.02544698992278427,,
+COMPLETED,SCALING,125000,125K,CIDM-Complete,burgers_1d,nonlinear_transport,73,125038,0.001,16.0,16.0,0.01569322611583937,2500,2500,MAX_UPDATES,234.65291266800068,243351552.0,0.013761728533666267,0.006417404278181493,0.021074054879136384,,
+COMPLETED,SCALING,125000,125K,PDEBench-FNO,advection_1d,transport,17,125087,0.003,16.0,16.0,0.052054337866524865,2300,2500,MAX_UPDATES,121.1119734670001,151137280.0,0.01836761172373287,0.008607521216617897,0.026469709002412856,,
+COMPLETED,SCALING,2000000,2M,PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,41,2006461,0.003,1.0,4.0,0.003568669845739385,2500,2500,MAX_UPDATES,607.4351048140015,324001280.0,0.0036367532640131494,0.002281730105096358,0.05971964525815565,,
+COMPLETED,SCALING,2000000,2M,PDEBench-FNO,advection_1d,transport,41,1999837,0.003,8.0,16.0,0.013357510141239138,2100,2300,CONVERGED_PATIENCE,219.42863543899875,205201920.0,0.004097168109473494,0.002198846181272529,0.005466300237458199,,
+COMPLETED,SCALING,2000000,2M,PDEBench-FNO,advection_1d,transport,73,1999837,0.003,8.0,16.0,0.012502103035976637,2400,2500,MAX_UPDATES,237.41261461999966,205201920.0,0.004312537152434278,0.002206610923167318,0.005539872276131064,,
+COMPLETED,SCALING,125000,125K,CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,17,124004,0.0001,4.0,4.0,0.005849950497893452,2500,2500,MAX_UPDATES,188.14404502100024,1421921280.0,0.005879046578335092,0.003731114244146738,0.09653262645588256,,
+COMPLETED,SCALING,125000,125K,CIDM-Foundation-v1,advection_1d,transport,73,125815,0.0001,16.0,16.0,0.04979849707066025,2400,2500,MAX_UPDATES,86.19181432699952,197602304.0,0.03460672944461143,0.02034832094796002,0.05036830622702837,,
+COMPLETED,SCALING,2000000,2M,NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,17,1999563,0.003,1.0,4.0,0.005183068754238468,2500,2500,MAX_UPDATES,844.928200585,1118668288.0,0.005260383307075893,0.003222679077225621,0.08695721162075642,,
+COMPLETED,SCALING,2000000,2M,CIDM-Foundation-v1,burgers_1d,nonlinear_transport,17,2002203,0.0001,8.0,16.0,0.03866856353422073,2500,2500,MAX_UPDATES,153.29640964399914,371622400.0,0.04306669068722367,0.017786769778467715,0.05187427345663309,,
+COMPLETED,SCALING,125000,125K,PDEBench-FNO,advection_1d,transport,73,125087,0.003,16.0,16.0,0.05143874097225145,2100,2500,MAX_UPDATES,121.14640336800039,151137280.0,0.01879261033710881,0.00945389922708273,0.02778018719982356,,
+COMPLETED,SCALING,2000000,2M,CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,17,1970136,0.0001,1.0,4.0,0.003977968859441523,2500,2500,MAX_UPDATES,1068.583473052,1481574912.0,0.003992014713761066,0.002295682938893151,0.06609529329580255,,
+COMPLETED,SCALING,125000,125K,PDEBench-FNO,burgers_1d,nonlinear_transport,17,125087,0.003,16.0,16.0,0.039597554121956445,2500,2500,MAX_UPDATES,121.9105507700001,151137280.0,0.021461172560110906,0.008288397511932999,0.022961873561143875,,
+COMPLETED,SCALING,125000,125K,PDEBench-FNO,burgers_1d,nonlinear_transport,73,125087,0.003,16.0,16.0,0.0376221533377913,2500,2500,MAX_UPDATES,121.22432009100066,151137280.0,0.019519920620889655,0.007586041174363345,0.02147495257668197,,
+COMPLETED,SCALING,125000,125K,PDEBench-FNO,advection_1d,transport,41,125087,0.003,16.0,16.0,0.06308981862484239,2400,2500,MAX_UPDATES,123.10993696600008,151137280.0,0.024154561347409797,0.010745886946097016,0.03274305525701493,,
+COMPLETED,SCALING,125000,125K,PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,73,123476,0.003,4.0,4.0,0.008084458029201432,2400,2500,MAX_UPDATES,195.6659350939999,909732352.0,0.008134540702029914,0.004772265574501944,0.13362099292862695,,
+COMPLETED,SCALING,2000000,2M,CIDM-Complete,advection_1d,transport,73,2000000,0.001,8.0,16.0,0.009456860825278302,2500,2500,MAX_UPDATES,462.3610187669983,484325888.0,0.008686760752138712,0.004606351692928001,0.01265348494052887,,
+COMPLETED,SCALING,125000,125K,NeuralOperator-FNO,burgers_1d,nonlinear_transport,17,124931,0.003,16.0,16.0,0.03410642545619027,1500,2100,CONVERGED_PATIENCE,171.27581755099982,246831616.0,0.03695702934166064,0.010834378248546273,0.033650928642600775,,
+COMPLETED,SCALING,2000000,2M,PDEBench-FNO,burgers_1d,nonlinear_transport,17,1999837,0.003,8.0,16.0,0.01824018870463532,2500,2500,MAX_UPDATES,238.22326997500022,205201920.0,0.013573258793503512,0.004175346402917057,0.01229961565695703,,
+COMPLETED,SCALING,2000000,2M,CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,41,1970136,0.0001,1.0,4.0,0.004007333813356165,2500,2500,MAX_UPDATES,1067.0363181689972,1481574912.0,0.004007049124215483,0.0023452422938134987,0.06637312217208091,,
+COMPLETED,SCALING,2000000,2M,CIDM-Complete,advection_1d,transport,17,2000000,0.001,8.0,16.0,0.009458386649165663,2500,2500,MAX_UPDATES,467.4472568910005,484325888.0,0.011534974866243056,0.006062477797968313,0.016870216990355402,,
+COMPLETED,SCALING,125000,125K,CIDM-Complete,advection_1d,transport,41,125038,0.001,16.0,16.0,0.01615579235703149,2400,2500,MAX_UPDATES,235.20236032000003,243351552.0,0.007383032283090856,0.004004667047411203,0.011197678628377616,,
+COMPLETED,SCALING,125000,125K,NeuralOperator-FNO,burgers_1d,nonlinear_transport,73,124931,0.003,16.0,16.0,0.0316462245664113,2000,2500,MAX_UPDATES,210.1802476160001,246831616.0,0.036871421365646584,0.010136492375750095,0.03153797017876059,,
+COMPLETED,SCALING,125000,125K,CIDM-Complete,burgers_1d,nonlinear_transport,41,125038,0.001,16.0,16.0,0.017337077690241568,2500,2500,MAX_UPDATES,237.36377328099934,243351552.0,0.014664867805360842,0.006613159028347582,0.022849363973364234,,
+COMPLETED,SCALING,125000,125K,NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,17,126312,0.003,4.0,4.0,0.006647321657038076,2500,2500,MAX_UPDATES,284.13857999899983,1595475456.0,0.006709889390320094,0.004177068312856136,0.11089651663496625,,
+COMPLETED,SCALING,125000,125K,CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,41,124004,0.0001,4.0,4.0,0.005688954216795229,2500,2500,MAX_UPDATES,204.68396419500004,1421921280.0,0.0057358585495432286,0.0036177783713355893,0.09397534941672347,,
+COMPLETED,SCALING,2000000,2M,CIDM-Foundation-v1,burgers_1d,nonlinear_transport,41,2002203,0.0001,8.0,16.0,0.04045896082259829,2200,2500,MAX_UPDATES,160.8752249019999,371622400.0,0.045257835956510326,0.019862313056364655,0.061942953150719404,,
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,CIDM-Foundation-v1,advection_1d,transport,17,496331,0.0001,,,0.03442973492465925,2500,2500,MAX_UPDATES,,,0.022840140067115516,0.013669191161170602,0.035306977573782206,92.01725870500013,327064576.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,CIDM-Complete,advection_1d,transport,17,500084,0.001,,,0.00986716295398708,2500,2500,MAX_UPDATES,,,0.004807528227010969,0.0026163319125771523,0.007452321704477072,246.17873490999955,433508352.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,PDEBench-FNO,advection_1d,transport,17,499917,0.003,,,0.009614890280413723,1500,2100,CONVERGED_PATIENCE,,,0.006705748359268511,0.003574916598154232,0.009764319809619337,109.38468630900024,162633216.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,NeuralOperator-FNO,advection_1d,transport,17,498345,0.003,,,0.019170270068003946,1200,1800,CONVERGED_PATIENCE,,,0.02101399004137631,0.00911416218150407,0.027886493247933686,148.15287154700127,326514176.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,CIDM-Foundation-v1,advection_1d,transport,41,496331,0.0001,,,0.033893616546977014,2500,2500,MAX_UPDATES,,,0.021040537074784545,0.012287692865356803,0.03278773231431842,92.56075690199941,327064576.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,CIDM-Complete,advection_1d,transport,41,500084,0.001,,,0.011293158916338612,2500,2500,MAX_UPDATES,,,0.004693755546668194,0.0024845587322488427,0.007043154211714864,248.0906820889977,433508352.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,PDEBench-FNO,advection_1d,transport,41,499917,0.003,,,0.013001838996097562,2500,2500,MAX_UPDATES,,,0.005988474758130215,0.0029419338097795844,0.008528297650627792,125.66267602100197,162633216.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,NeuralOperator-FNO,advection_1d,transport,41,498345,0.003,,,0.016038578970292143,2200,2500,MAX_UPDATES,,,0.02060510907957242,0.008320163760799915,0.026833072945009917,202.72205170099915,326514176.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,CIDM-Foundation-v1,advection_1d,transport,73,496331,0.0001,,,0.03664724717453459,2500,2500,MAX_UPDATES,,,0.021668086916536152,0.010918559622950852,0.03145054494962096,92.4564633129994,327064576.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,CIDM-Complete,advection_1d,transport,73,500084,0.001,,,0.011658387268512125,2300,2500,MAX_UPDATES,,,0.005034879274568276,0.0028665937716141343,0.007977644796483219,248.0479007410031,433508352.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,PDEBench-FNO,advection_1d,transport,73,499917,0.003,,,0.008565224041525491,2100,2500,MAX_UPDATES,,,0.005767847081129742,0.0028875308635178953,0.008298623433802277,126.09665464400314,162633216.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,NeuralOperator-FNO,advection_1d,transport,73,498345,0.003,,,0.017606146230702745,1800,2400,CONVERGED_PATIENCE,,,0.020340902973329127,0.00833677384071052,0.02637104084715247,197.0660419679989,326514176.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,CIDM-Foundation-v1,burgers_1d,nonlinear_transport,17,496331,0.0001,,,0.04183710961754616,2500,2500,MAX_UPDATES,,,0.04655607187315035,0.01908860495314002,0.05954959150403738,92.87740490100077,327064576.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,CIDM-Complete,burgers_1d,nonlinear_transport,17,500084,0.001,,,0.01369526405268611,2500,2500,MAX_UPDATES,,,0.011732567260231593,0.004843720817007124,0.016096912091597915,255.54154205400118,433508352.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,PDEBench-FNO,burgers_1d,nonlinear_transport,17,499917,0.003,,,0.012771235050278456,2500,2500,MAX_UPDATES,,,0.008803391738096519,0.0033065592870116234,0.009532052325084805,128.1717751219985,162633216.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,NeuralOperator-FNO,burgers_1d,nonlinear_transport,17,498345,0.003,,,0.014679607802628041,2500,2500,MAX_UPDATES,,,0.009876031447713622,0.003724471724126488,0.011386081925593317,206.2913414579998,326514176.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,CIDM-Foundation-v1,burgers_1d,nonlinear_transport,41,496331,0.0001,,,0.04622385017736076,2300,2500,MAX_UPDATES,,,0.04724933002500892,0.018020205665379763,0.05739395972341299,92.67726066900286,327064576.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,CIDM-Complete,burgers_1d,nonlinear_transport,41,500084,0.001,,,0.013313895501566945,2500,2500,MAX_UPDATES,,,0.01144270646134485,0.005357719259336591,0.016573085449635983,248.3018947950004,433508352.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,PDEBench-FNO,burgers_1d,nonlinear_transport,41,499917,0.003,,,0.011840834474355423,2400,2500,MAX_UPDATES,,,0.008095449064213969,0.003043279575649649,0.009463864611461759,127.12349566500052,162633216.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,NeuralOperator-FNO,burgers_1d,nonlinear_transport,41,498345,0.003,,,0.014003158025146392,2500,2500,MAX_UPDATES,,,0.00964544628927293,0.00375328806694597,0.011323672835715115,203.52931476999947,326514176.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,CIDM-Foundation-v1,burgers_1d,nonlinear_transport,73,496331,0.0001,,,0.044044141439253795,2500,2500,MAX_UPDATES,,,0.046071447441298964,0.017174860695376992,0.05284926947206259,95.39248192499508,327064576.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,CIDM-Complete,burgers_1d,nonlinear_transport,73,500084,0.001,,,0.013423915477122208,2500,2500,MAX_UPDATES,,,0.011019151261780533,0.004526572418399155,0.013898363104090095,249.46711677400162,433508352.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,PDEBench-FNO,burgers_1d,nonlinear_transport,73,499917,0.003,,,0.01232109526893344,2500,2500,MAX_UPDATES,,,0.009859660425739675,0.0034064697683788836,0.010273275314830244,125.33645733499725,162633216.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,NeuralOperator-FNO,burgers_1d,nonlinear_transport,73,498345,0.003,,,0.014456654406218879,2500,2500,MAX_UPDATES,,,0.009799031213503357,0.0037079514004290104,0.011562261963263154,203.84933760000422,326514176.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,17,484548,0.0001,,,0.004661249794386095,2500,2500,MAX_UPDATES,,,0.004666329684882012,0.0027291533042443916,0.07727320259436965,368.1016794240004,2760618496.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,17,500084,0.001,,,0.0024550206812580674,2500,2500,MAX_UPDATES,,,0.00253482488636171,0.0016675052174832672,0.034436511574313045,769.5976320829996,6347879936.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,17,512288,0.003,,,0.005355850360904599,2500,2500,MAX_UPDATES,,,0.005431780643229018,0.003405881128855981,0.0891152205877006,179.7382883729988,754663424.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,17,502318,0.003,,,0.005822341855819902,2400,2500,MAX_UPDATES,,,0.005924008403718458,0.00364792715117801,0.09789526974782348,464.0136753199986,3157201408.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,41,484548,0.0001,,,0.0045036579321665,2500,2500,MAX_UPDATES,,,0.004514395274211672,0.002650338734383695,0.0747463908046484,368.59701855599997,2760618496.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,41,500084,0.001,,,0.0023464495759162383,2400,2500,MAX_UPDATES,,,0.0024074877119455696,0.0016166730129043572,0.03494987334124744,770.0827642179975,6347879936.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,41,512288,0.003,,,0.005259597895237014,2500,2500,MAX_UPDATES,,,0.005333294321214485,0.0033150841045426205,0.08743398357182741,178.8974539280025,754663424.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,41,502318,0.003,,,0.005621688072376115,2500,2500,MAX_UPDATES,,,0.005676939523223352,0.0034679111995501444,0.09383493661880493,462.67529971500335,3157201408.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,CIDM-Foundation-v1,reacdiff_2d,reaction_diffusion_2d,73,484548,0.0001,,,0.004503833369143508,2500,2500,MAX_UPDATES,,,0.0045082694768188375,0.002587411174317822,0.07465401431545615,368.65611442299996,2760618496.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,CIDM-Complete,reacdiff_2d,reaction_diffusion_2d,73,500084,0.001,,,0.002400043299896179,2500,2500,MAX_UPDATES,,,0.0024832534060924365,0.0016524267048225738,0.036118242191150784,771.5210508620003,6347879936.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,PDEBench-FNO,reacdiff_2d,reaction_diffusion_2d,73,512288,0.003,,,0.005203569008461718,2500,2500,MAX_UPDATES,,,0.005243373723257972,0.0032411797146778554,0.08617096627131104,183.23332282699994,754663424.0
+COMPLETED,SCALING_REFERENCE_A2,500000,500K,NeuralOperator-FNO,reacdiff_2d,reaction_diffusion_2d,73,502318,0.003,,,0.005649968162550909,2400,2500,MAX_UPDATES,,,0.005688875674982211,0.003442888570134528,0.0940410397015512,464.8438984880049,3157201408.0
diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/A5_scaling_slopes.csv b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_scaling_slopes.csv
new file mode 100644
index 0000000000000000000000000000000000000000..809ae5511ad2732ee68990aeb8bfe35c1b606dc1
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_scaling_slopes.csv
@@ -0,0 +1,13 @@
+task,model,scaling_beta,loglog_r2,rmse_125k,rmse_500k,rmse_2m,gain_125k_to_2m_pct
+advection_1d,CIDM-Complete,0.10208041957886974,0.1724495859673263,0.007195136907553422,0.004845387682749146,0.00954870453391552,-32.71053291413167
+advection_1d,CIDM-Foundation-v1,-0.2184610121200088,0.961803248248562,0.03274061464533006,0.021849588019478738,0.017877300516262,45.397175007489
+advection_1d,NeuralOperator-FNO,0.10618311729990255,0.11806469390087915,0.03581556314738305,0.02065333403142595,0.04803055995314543,-34.10527640036534
+advection_1d,PDEBench-FNO,-0.4738475016143306,0.8139807225172826,0.020438261136083827,0.0061540233995094895,0.005495167101523671,73.11333354175649
+burgers_1d,CIDM-Complete,-0.04366501986447748,0.29551947437728665,0.01423690940422208,0.011398141661118992,0.012613746647094743,11.401089316800558
+burgers_1d,CIDM-Foundation-v1,-0.10325490851537024,0.8959203716669539,0.058464876331921926,0.04662561644648608,0.043914581730590596,24.887240877283517
+burgers_1d,NeuralOperator-FNO,0.15736147893368632,0.057853856774937484,0.036161946504611055,0.009773502983496636,0.05582421004023077,-54.3728018985719
+burgers_1d,PDEBench-FNO,-0.18482049724239574,0.3678185701861153,0.0206145004869996,0.008919500409350054,0.012348996260441385,40.095583357796144
+reacdiff_2d,CIDM-Complete,-0.08866352772150242,0.9539956538073542,0.0026711844690991797,0.002475188668133239,0.00208893676684985,21.797360271628285
+reacdiff_2d,CIDM-Foundation-v1,-0.1406493852447454,0.9840093111827729,0.005770848222541384,0.004562998145304174,0.00390960225970106,32.252554409075465
+reacdiff_2d,NeuralOperator-FNO,-0.11923232283658441,0.9342338450120695,0.007328567239279343,0.005763274533974673,0.00527221762954828,28.059367439648067
+reacdiff_2d,PDEBench-FNO,-0.23858042930007753,0.9810375393844502,0.008113295095703929,0.005336149562567158,0.0041762995940201365,48.525234879826705
diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/A5_scaling_summary.csv b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_scaling_summary.csv
new file mode 100644
index 0000000000000000000000000000000000000000..58def1ea5a228b1380001765f042602d5c93f555
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/A5_scaling_summary.csv
@@ -0,0 +1,37 @@
+target_params,scale,task,family,model,params_mean,rmse_mean,rmse_std,mae_mean,rel_mean,task_normalized_rmse
+125000,125K,advection_1d,transport,CIDM-Complete,125038.0,0.007195136907553422,0.0003101459668600285,0.004069271361610542,0.01116833983299633,1.0
+125000,125K,advection_1d,transport,CIDM-Foundation-v1,125815.0,0.03274061464533006,0.0019529755629321378,0.019330463643806677,0.049534842294330396,4.550381051256872
+125000,125K,advection_1d,transport,NeuralOperator-FNO,124931.0,0.03581556314738305,0.0016337898676166156,0.018786470832613606,0.053739081524933376,4.977745886917599
+125000,125K,advection_1d,transport,PDEBench-FNO,125087.0,0.020438261136083827,0.003225418019554822,0.009602435796599215,0.028997650486417115,2.84056598209102
+125000,125K,burgers_1d,nonlinear_transport,CIDM-Complete,125038.0,0.01423690940422208,0.00045341769620586646,0.006514293471506487,0.02179458865430206,1.0
+125000,125K,burgers_1d,nonlinear_transport,CIDM-Foundation-v1,125815.0,0.058464876331921926,0.00012813638098519922,0.024097750894725323,0.07958291238173842,4.106570792294545
+125000,125K,burgers_1d,nonlinear_transport,NeuralOperator-FNO,124931.0,0.036161946504611055,0.0013036880691099676,0.010475279646925628,0.032918437772120036,2.5400138104332473
+125000,125K,burgers_1d,nonlinear_transport,PDEBench-FNO,125087.0,0.0206145004869996,0.0009940867558994335,0.007936537692633769,0.02250001614447683,1.4479617662584965
+125000,125K,reacdiff_2d,reaction_diffusion_2d,CIDM-Complete,124958.0,0.0026711844690991797,0.0002401052630767522,0.001757602301343771,0.03792330367044391,1.0
+125000,125K,reacdiff_2d,reaction_diffusion_2d,CIDM-Foundation-v1,124004.0,0.005770848222541384,9.563125182083372e-05,0.003646017519713496,0.09477380928001367,2.1604079723058303
+125000,125K,reacdiff_2d,reaction_diffusion_2d,NeuralOperator-FNO,126312.0,0.007328567239279343,0.0005887301992630679,0.004495964869420277,0.12096186416359463,2.743564633613942
+125000,125K,reacdiff_2d,reaction_diffusion_2d,PDEBench-FNO,123476.0,0.008113295095703929,0.0002597514364211903,0.004790647685391984,0.13330596296388345,3.0373398728392673
+500000,500K,advection_1d,transport,CIDM-Complete,500084.0,0.004845387682749146,0.00017368463727602818,0.0026558281388133764,0.0074910402375583844,1.0
+500000,500K,advection_1d,transport,CIDM-Foundation-v1,496331.0,0.021849588019478738,0.0009134274575896425,0.012291814549826086,0.03318175161257386,4.5093580638075705
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diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/CIDM_Complete_Benchmark_Contract.json b/A5_Final_Scaling_Compute_Saturation_3Seed/CIDM_Complete_Benchmark_Contract.json
new file mode 100644
index 0000000000000000000000000000000000000000..cacd11d402202f457082f7a1edf091522531fb8d
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/CIDM_Complete_Benchmark_Contract.json
@@ -0,0 +1,24 @@
+{
+  "benchmark_name": "CIDM-Complete",
+  "executable_mapping": "cidm_architectures.py::CIDM_BER",
+  "archive_sha256": "f9b1cf4ff7630f5540bb3adde20e4c4b81fff3218d9325ea3105bf28b1d97665",
+  "components": [
+    "SpaceEncoder",
+    "TimeHistoryEncoder",
+    "PhaseSpectralEncoder",
+    "SkewChannelRotation",
+    "AntisymmetricFlux",
+    "HiddenReservoirTransfer",
+    "LocalResidual",
+    "LatentSpectralOperatorCore",
+    "BoundaryEnergyReservoir",
+    "FieldDecoder",
+    "SpectralFieldDecoder",
+    "PureLatentRollout"
+  ],
+  "known_forcing_port": "disabled / None because PDEBench headline tasks provide no common forcing field",
+  "static_fields": "not supplied; absent from archived executable implementation",
+  "1d_protocol": "lift to H=1, run exact archived Conv2D implementation, squeeze H=1",
+  "future_target_at_inference": "forbidden",
+  "note": "Figure-level State-Observation Closure is not invented here; archived executable SOC is LatentSpectralOperatorCore."
+}
\ No newline at end of file
diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/CIDM_Foundation_A5_FINAL_REPORT.json b/A5_Final_Scaling_Compute_Saturation_3Seed/CIDM_Foundation_A5_FINAL_REPORT.json
new file mode 100644
index 0000000000000000000000000000000000000000..2cdd0c73c11f146b1bdd137bb0f15e354bba2373
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/CIDM_Foundation_A5_FINAL_REPORT.json
@@ -0,0 +1,1929 @@
+{
+  "experiment": "CIDM Foundation A5 Final Scaling / Compute / Saturation",
+  "started_at": "2026-10-06 08:51:38",
+  "tasks": {
+    "advection_1d": {
+      "family": "transport",
+      "dim": 1,
+      "channels": 1,
+      "spatial": [
+        256
+      ]
+    },
+    "burgers_1d": {
+      "family": "nonlinear_transport",
+      "dim": 1,
+      "channels": 1,
+      "spatial": [
+        256
+      ]
+    },
+    "reacdiff_2d": {
+      "family": "reaction_diffusion_2d",
+      "dim": 2,
+      "channels": 2,
+      "spatial": [
+        128,
+        128
+      ]
+    }
+  },
+  "models": [
+    "CIDM-Foundation-v1",
+    "CIDM-Complete",
+    "PDEBench-FNO",
+    "NeuralOperator-FNO"
+  ],
+  "seeds": [
+    17,
+    41,
+    73
+  ],
+  "scale_targets": [
+    125000,
+    500000,
+    2000000
+  ],
+  "saturation_budgets": [
+    1000,
+    2500,
+    4000,
+    8000
+  ],
+  "cidm_freeze": {
+    "core_sha256": "e5e26b35765301e9ecd25aec5a6c507395ff370dca11c820f540ff0f1e79f510",
+    "manifest_sha256": "9508dd000005a154d3d3fa4437602d4214a6266d630bf13af855e5517649ecbd",
+    "exact": true
+  },
+  "cidm_complete_freeze": {
+    "archive_sha256": "f9b1cf4ff7630f5540bb3adde20e4c4b81fff3218d9325ea3105bf28b1d97665",
+    "exact": true,
+    "contract": {
+      "benchmark_name": "CIDM-Complete",
+      "executable_mapping": "cidm_architectures.py::CIDM_BER",
+      "archive_sha256": "f9b1cf4ff7630f5540bb3adde20e4c4b81fff3218d9325ea3105bf28b1d97665",
+      "components": [
+        "SpaceEncoder",
+        "TimeHistoryEncoder",
+        "PhaseSpectralEncoder",
+        "SkewChannelRotation",
+        "AntisymmetricFlux",
+        "HiddenReservoirTransfer",
+        "LocalResidual",
+        "LatentSpectralOperatorCore",
+        "BoundaryEnergyReservoir",
+        "FieldDecoder",
+        "SpectralFieldDecoder",
+        "PureLatentRollout"
+      ],
+      "known_forcing_port": "disabled / None because PDEBench headline tasks provide no common forcing field",
+      "static_fields": "not supplied; absent from archived executable implementation",
+      "1d_protocol": "lift to H=1, run exact archived Conv2D implementation, squeeze H=1",
+      "future_target_at_inference": "forbidden",
+      "note": "Figure-level State-Observation Closure is not invented here; archived executable SOC is LatentSpectralOperatorCore."
+    }
+  },
+  "source_checkout": [
+    {
+      "id": "pdebench",
+      "head": "4ff3e3a4aa1561721b5571fa3a048a0a463e0568",
+      "exact": true
+    },
+    {
+      "id": "neuraloperator",
+      "head": "00b7d86f8d74ff0af55da53eb585fe26df9c71f0",
+      "exact": true
+    },
+    {
+      "id": "transolver",
+      "head": "75e0f67643806a81cd1d3f6adc88dd8c02416fe7",
+      "exact": true
+    }
+  ],
+  "parameter_matching": [
+    {
+      "target_params": 125000,
+      "scale": "125K",
+      "task": "advection_1d",
+      "model": "CIDM-Foundation-v1",
+      "params": 125815,
+      "rel_error": 0.00652,
+      "ok": true,
+      "config": "{\"latent_dim\": 52, \"hidden\": 80}"
+    },
+    {
+      "target_params": 125000,
+      "scale": "125K",
+      "task": "advection_1d",
+      "model": "CIDM-Complete",
+      "params": 125038,
+      "rel_error": 0.000304,
+      "ok": true,
+      "config": "{\"latent_dim\": 20, \"hidden\": 36, \"soc_modes1\": 1, \"soc_modes2\": 6}"
+    },
+    {
+      "target_params": 125000,
+      "scale": "125K",
+      "task": "advection_1d",
+      "model": "PDEBench-FNO",
+      "params": 125087,
+      "rel_error": 0.000696,
+      "ok": true,
+      "config": "{\"width\": 57, \"modes\": 8}"
+    },
+    {
+      "target_params": 125000,
+      "scale": "125K",
+      "task": "advection_1d",
+      "model": "NeuralOperator-FNO",
+      "params": 124931,
+      "rel_error": 0.000552,
+      "ok": true,
+      "config": "{\"width\": 62, \"modes\": 8}"
+    },
+    {
+      "target_params": 125000,
+      "scale": "125K",
+      "task": "burgers_1d",
+      "model": "CIDM-Foundation-v1",
+      "params": 125815,
+      "rel_error": 0.00652,
+      "ok": true,
+      "config": "{\"latent_dim\": 52, \"hidden\": 80}"
+    },
+    {
+      "target_params": 125000,
+      "scale": "125K",
+      "task": "burgers_1d",
+      "model": "CIDM-Complete",
+      "params": 125038,
+      "rel_error": 0.000304,
+      "ok": true,
+      "config": "{\"latent_dim\": 20, \"hidden\": 36, \"soc_modes1\": 1, \"soc_modes2\": 6}"
+    },
+    {
+      "target_params": 125000,
+      "scale": "125K",
+      "task": "burgers_1d",
+      "model": "PDEBench-FNO",
+      "params": 125087,
+      "rel_error": 0.000696,
+      "ok": true,
+      "config": "{\"width\": 57, \"modes\": 8}"
+    },
+    {
+      "target_params": 125000,
+      "scale": "125K",
+      "task": "burgers_1d",
+      "model": "NeuralOperator-FNO",
+      "params": 124931,
+      "rel_error": 0.000552,
+      "ok": true,
+      "config": "{\"width\": 62, \"modes\": 8}"
+    },
+    {
+      "target_params": 125000,
+      "scale": "125K",
+      "task": "reacdiff_2d",
+      "model": "CIDM-Foundation-v1",
+      "params": 124004,
+      "rel_error": 0.007968,
+      "ok": true,
+      "config": "{\"latent_dim\": 32, \"hidden\": 48}"
+    },
+    {
+      "target_params": 125000,
+      "scale": "125K",
+      "task": "reacdiff_2d",
+      "model": "CIDM-Complete",
+      "params": 124958,
+      "rel_error": 0.000336,
+      "ok": true,
+      "config": "{\"latent_dim\": 28, \"hidden\": 16, \"soc_modes1\": 2, \"soc_modes2\": 8}"
+    },
+    {
+      "target_params": 125000,
+      "scale": "125K",
+      "task": "reacdiff_2d",
+      "model": "PDEBench-FNO",
+      "params": 123476,
+      "rel_error": 0.012192,
+      "ok": true,
+      "config": "{\"width\": 30, \"modes\": 4}"
+    },
+    {
+      "target_params": 125000,
+      "scale": "125K",
+      "task": "reacdiff_2d",
+      "model": "NeuralOperator-FNO",
+      "params": 126312,
+      "rel_error": 0.010496,
+      "ok": true,
+      "config": "{\"width\": 34, \"modes\": 6}"
+    },
+    {
+      "target_params": 500000,
+      "scale": "500K",
+      "task": "advection_1d",
+      "model": "CIDM-Foundation-v1",
+      "params": 496331,
+      "rel_error": 0.007338,
+      "ok": true,
+      "config": "{\"latent_dim\": 104, \"hidden\": 160}"
+    },
+    {
+      "target_params": 500000,
+      "scale": "500K",
+      "task": "advection_1d",
+      "model": "CIDM-Complete",
+      "params": 500022,
+      "rel_error": 4.4e-05,
+      "ok": true,
+      "config": "{\"latent_dim\": 82, \"hidden\": 20, \"soc_modes1\": 1, \"soc_modes2\": 4}"
+    },
+    {
+      "target_params": 500000,
+      "scale": "500K",
+      "task": "advection_1d",
+      "model": "PDEBench-FNO",
+      "params": 499917,
+      "rel_error": 0.000166,
+      "ok": true,
+      "config": "{\"width\": 70, \"modes\": 24}"
+    },
+    {
+      "target_params": 500000,
+      "scale": "500K",
+      "task": "advection_1d",
+      "model": "NeuralOperator-FNO",
+      "params": 499897,
+      "rel_error": 0.000206,
+      "ok": true,
+      "config": "{\"width\": 72, \"modes\": 40}"
+    },
+    {
+      "target_params": 500000,
+      "scale": "500K",
+      "task": "burgers_1d",
+      "model": "CIDM-Foundation-v1",
+      "params": 496331,
+      "rel_error": 0.007338,
+      "ok": true,
+      "config": "{\"latent_dim\": 104, \"hidden\": 160}"
+    },
+    {
+      "target_params": 500000,
+      "scale": "500K",
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+      "config": "{\"latent_dim\": 82, \"hidden\": 20, \"soc_modes1\": 1, \"soc_modes2\": 4}"
+    },
+    {
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+    },
+    {
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+      "config": "{\"width\": 72, \"modes\": 40}"
+    },
+    {
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+      "config": "{\"latent_dim\": 64, \"hidden\": 96}"
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+      "config": "{\"latent_dim\": 20, \"hidden\": 92, \"soc_modes1\": 2, \"soc_modes2\": 14}"
+    },
+    {
+      "target_params": 500000,
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+      "config": "{\"width\": 61, \"modes\": 4}"
+    },
+    {
+      "target_params": 500000,
+      "scale": "500K",
+      "task": "reacdiff_2d",
+      "model": "NeuralOperator-FNO",
+      "params": 501141,
+      "rel_error": 0.002282,
+      "ok": true,
+      "config": "{\"width\": 91, \"modes\": 4}"
+    },
+    {
+      "target_params": 2000000,
+      "scale": "2M",
+      "task": "advection_1d",
+      "model": "CIDM-Foundation-v1",
+      "params": 2002203,
+      "rel_error": 0.0011015,
+      "ok": true,
+      "config": "{\"latent_dim\": 120, \"hidden\": 360}"
+    },
+    {
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+      "scale": "2M",
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+      "model": "CIDM-Complete",
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+      "rel_error": 0.0,
+      "ok": true,
+      "config": "{\"latent_dim\": 52, \"hidden\": 176, \"soc_modes1\": 1, \"soc_modes2\": 12}"
+    },
+    {
+      "target_params": 2000000,
+      "scale": "2M",
+      "task": "advection_1d",
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+      "params": 1999837,
+      "rel_error": 8.15e-05,
+      "ok": true,
+      "config": "{\"width\": 110, \"modes\": 40}"
+    },
+    {
+      "target_params": 2000000,
+      "scale": "2M",
+      "task": "advection_1d",
+      "model": "NeuralOperator-FNO",
+      "params": 1999585,
+      "rel_error": 0.0002075,
+      "ok": true,
+      "config": "{\"width\": 288, \"modes\": 4}"
+    },
+    {
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+      "scale": "2M",
+      "task": "burgers_1d",
+      "model": "CIDM-Foundation-v1",
+      "params": 2002203,
+      "rel_error": 0.0011015,
+      "ok": true,
+      "config": "{\"latent_dim\": 120, \"hidden\": 360}"
+    },
+    {
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+      "scale": "2M",
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+      "config": "{\"latent_dim\": 52, \"hidden\": 176, \"soc_modes1\": 1, \"soc_modes2\": 12}"
+    },
+    {
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+    },
+    {
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+      "params": 1970136,
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+    },
+    {
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+      "config": "{\"latent_dim\": 42, \"hidden\": 108, \"soc_modes1\": 12, \"soc_modes2\": 14}"
+    },
+    {
+      "target_params": 2000000,
+      "scale": "2M",
+      "task": "reacdiff_2d",
+      "model": "PDEBench-FNO",
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+  },
+  "verdict": "PASS_A5_FINAL_SCALING_COMPUTE_SATURATION",
+  "finished_at": "2026-10-07 01:08:29"
+}
\ No newline at end of file
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index 0000000000000000000000000000000000000000..58def1ea5a228b1380001765f042602d5c93f555
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/figure_data/Fig_A5_01_parameter_scaling.csv
@@ -0,0 +1,37 @@
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diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/figure_data/Fig_A5_02_global_scaling.csv b/A5_Final_Scaling_Compute_Saturation_3Seed/figure_data/Fig_A5_02_global_scaling.csv
new file mode 100644
index 0000000000000000000000000000000000000000..2a78f58566a7c0bf13a246e2361d2ed85fc1cecd
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/figure_data/Fig_A5_02_global_scaling.csv
@@ -0,0 +1,13 @@
+target_params,scale,model,mean_task_normalized_rmse,median_task_normalized_rmse
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diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/figure_data/Fig_A5_03_accuracy_latency_pareto.csv b/A5_Final_Scaling_Compute_Saturation_3Seed/figure_data/Fig_A5_03_accuracy_latency_pareto.csv
new file mode 100644
index 0000000000000000000000000000000000000000..3897976fdd79d091e2942e199bf427309ec87bb5
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/figure_data/Fig_A5_03_accuracy_latency_pareto.csv
@@ -0,0 +1,13 @@
+target_params,scale,model,mean_task_normalized_rmse,median_task_normalized_rmse,latency6_ms,latency24_ms,train_update_ms,train_peak_vram,pareto_accuracy_latency,pareto_accuracy_train_update
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diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/figure_data/Fig_A5_04_empirical_compute_scaling.csv b/A5_Final_Scaling_Compute_Saturation_3Seed/figure_data/Fig_A5_04_empirical_compute_scaling.csv
new file mode 100644
index 0000000000000000000000000000000000000000..1ddd001344d77d5bbe8494e2fc90d25dfb670ff3
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/figure_data/Fig_A5_04_empirical_compute_scaling.csv
@@ -0,0 +1,13 @@
+target_params,scale,model,latency6,train_update
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diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/figure_data/Fig_A5_05_training_saturation.csv b/A5_Final_Scaling_Compute_Saturation_3Seed/figure_data/Fig_A5_05_training_saturation.csv
new file mode 100644
index 0000000000000000000000000000000000000000..f85adc21c7e1facc6fb06809eb26a92c6fa74fc8
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/figure_data/Fig_A5_05_training_saturation.csv
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diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/figure_data/Fig_A5_06_saturation_gain.csv b/A5_Final_Scaling_Compute_Saturation_3Seed/figure_data/Fig_A5_06_saturation_gain.csv
new file mode 100644
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--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/figure_data/Fig_A5_06_saturation_gain.csv
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+2D Reaction-Diffusion"
diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/figure_data/Fig_A5_07_long24_vs_budget.csv b/A5_Final_Scaling_Compute_Saturation_3Seed/figure_data/Fig_A5_07_long24_vs_budget.csv
new file mode 100644
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--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/figure_data/Fig_A5_07_long24_vs_budget.csv
@@ -0,0 +1,49 @@
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+   <g id="patch_4">
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+     <use xlink:href="#DejaVuSerif-49" transform="translate(76.513672 0)"/>
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+     <use xlink:href="#DejaVuSerif-4b" transform="translate(798.730469 0)"/>
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+     <use xlink:href="#DejaVuSerif-4e" transform="translate(639.111328 0)"/>
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+     <use xlink:href="#DejaVuSerif-4b" transform="translate(1031.25 0)"/>
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+     <use xlink:href="#DejaVuSerif-49" transform="translate(76.513672 0)"/>
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+     <use xlink:href="#DejaVuSerif-4b" transform="translate(1041.113281 0)"/>
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+     <use xlink:href="#DejaVuSerif-49" transform="translate(76.513672 0)"/>
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+     <use xlink:href="#DejaVuSerif-65" transform="translate(87.5 0)"/>
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diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/frozen/CIDM_Foundation_Core_v1_0_FREEZE_MANIFEST.json b/A5_Final_Scaling_Compute_Saturation_3Seed/frozen/CIDM_Foundation_Core_v1_0_FREEZE_MANIFEST.json
new file mode 100644
index 0000000000000000000000000000000000000000..fd7f74dfe6242507c89a97042145d4daac217f02
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/frozen/CIDM_Foundation_Core_v1_0_FREEZE_MANIFEST.json
@@ -0,0 +1,80 @@
+{
+  "name": "CIDM Foundation Core",
+  "version": "v1.0 Final",
+  "freeze_basis": "A1-R1-R3 Core Component Causal Attribution & Freeze",
+  "freeze_gate": "PASS_TO_CORE_FINAL_FREEZE",
+  "default_core": {
+    "encoders": [
+      "SpaceEncoder",
+      "TimeHistoryEncoder"
+    ],
+    "fusion": "InformationStateFusion",
+    "dynamics": "BoundedLocalResidualDynamics",
+    "step": "bounded positive residual step",
+    "decoder": "FieldDecoder",
+    "rollout": "pure latent rollout",
+    "default_training": "prediction / multi-step rollout loss"
+  },
+  "evidence_summary": {
+    "NoSpaceInfo_mean_rmse_effect_pct": 4.895219760746574,
+    "NoTimeInfo_mean_rmse_effect_pct": 5.171493884445902,
+    "NoPhaseInfo_mean_rmse_effect_pct": -2.79857874424354,
+    "NoSkew_mean_rmse_effect_pct": -0.521169227349116,
+    "NoFlux_mean_rmse_effect_pct": -0.9437659673091198,
+    "NoLocal_mean_rmse_effect_pct": 2.397827861124943,
+    "BlackboxCore_mean_rmse_effect_pct": 1.7607338250780888,
+    "DirectPredictor_mean_rmse_effect_pct": 14.230675545900779,
+    "FreeChannelMix_vs_Skew_rmse_change_pct": 3.476865940431788,
+    "FreeFlux_vs_AntisymmetricFlux_rmse_change_pct": -2.5548147465622244,
+    "Sync05_vs_PredOnly_rmse_change_pct": 10.445702293374174,
+    "Sync05_sync_gain_change": 0.5611278432875664
+  },
+  "important_cautions": [
+    "DirectPredictor in A1-R1-R3 was materially smaller than Full, so its 14.23% RMSE gap is supportive rather than a parameter-matched causal estimate.",
+    "Only two seeds were used; several component effects had high seed variance.",
+    "Space/Time encoders show cross-task value but Diffusion-Reaction did not consistently require them.",
+    "The numerical cap values are architectural hyperparameters, not physical constants."
+  ],
+  "optional_components": {
+    "PhaseSpectralEncoder": {
+      "status": "SPECIALIZED OPTIONAL",
+      "reason": "NoPhaseInfo improved mean RMSE by 2.80%; benefits were inconsistent across tasks/seeds."
+    },
+    "SkewSymmetricChannelRotation": {
+      "status": "SPECIALIZED OPTIONAL",
+      "reason": "Removing skew slightly improved mean RMSE; however skew-constrained mixing was better than free channel mixing when a mixing branch was present."
+    },
+    "AntisymmetricFlux": {
+      "status": "SPECIALIZED CONSERVATIVE-EXCHANGE OPTIONAL",
+      "reason": "NoFlux slightly improved mean RMSE and FreeFlux outperformed antisymmetric flux on average."
+    },
+    "HiddenReservoir": {
+      "status": "OPTIONAL",
+      "reason": "Use for unresolved memory/internal closure; not part of the R3 universal core."
+    },
+    "NativeCausalPort": {
+      "status": "OPTIONAL",
+      "reason": "Use only when known causal forcing is available."
+    },
+    "Transport": {
+      "status": "EXPERIMENTAL OPTIONAL",
+      "reason": "Use for displacement/coherent-structure dominated systems."
+    },
+    "CrossScaleTransfer": {
+      "status": "EXPERIMENTAL OPTIONAL",
+      "reason": "Use for tasks with explicit cross-scale transfer."
+    },
+    "StateSyncRegularizer": {
+      "status": "TRAINING OPTIONAL",
+      "reason": "Improved sync metric but increased mean RMSE by 10.45% in R3."
+    },
+    "CayleySkewUpdate": {
+      "status": "NUMERICAL OPTIONAL",
+      "reason": "Strictly orthogonal discretization if a skew branch is deliberately enabled."
+    },
+    "BER_SOC": {
+      "status": "SPECIALIZED EXTENSION FAMILY",
+      "reason": "Keep outside Foundation Core; appropriate for open/physical closure studies."
+    }
+  }
+}
\ No newline at end of file
diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/frozen/__pycache__/cidm_complete_archived_topology.cpython-313.pyc b/A5_Final_Scaling_Compute_Saturation_3Seed/frozen/__pycache__/cidm_complete_archived_topology.cpython-313.pyc
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+"""
+CIDM architecture archive
+=========================
+
+Reference PyTorch implementation for the finalized model family:
+
+1. CIDM / Closed Information Dynamics Model
+   - General-purpose closed information dynamics backbone.
+   - Corresponds conceptually to the previous experimental `sticm_v3_full`.
+
+2. CIDM-BER / CIDM with Boundary Energy Reservoir
+   - Physics-closure enhanced variant.
+   - Adds a latent Spectral Operator Core and a Boundary Energy Reservoir (BER)
+     residual closure layer.
+   - Corresponds conceptually to the previous experimental `sticm_soc_ber`.
+
+This file is intended for architecture archiving and future experiment reuse. It
+contains only model definitions and lightweight diagnostics; training/evaluation
+loops are intentionally kept outside this file.
+
+Expected input format
+---------------------
+`history`: Tensor[B, L, C, H, W]
+`port`: optional Tensor[B, C_port, H, W] or Tensor[B, horizon, C_port, H, W]
+`target`: optional Tensor[B, horizon, C, H, W] for diagnostics/loss construction
+
+Output dictionary
+-----------------
+`pred`: Tensor[B, horizon, C, H, W]
+`latent`: final latent state
+`latent_seq`: Tensor[B, horizon, D, H, W]
+`diagnostics`: scalar tensors for energy drift, SOC strength, BER strength, etc.
+
+Authoring note
+--------------
+This is a cleaned reference architecture. Exact Colab benchmark implementations
+may contain additional data-generation, plotting, logging, and ablation utilities.
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import Dict, Optional, Tuple
+
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+
+
+@dataclass
+class CIDMConfig:
+    channels: int = 1
+    hist_len: int = 4
+    horizon: int = 6
+    latent_dim: int = 32
+    hidden: int = 64
+    port_channels: int = 1
+    use_phase_encoder: bool = True
+    use_time_encoder: bool = True
+    use_hidden_reservoir: bool = True
+    use_flux: bool = True
+    use_reverse_diagnostics: bool = True
+    # CIDM-BER options
+    soc_modes1: int = 8
+    soc_modes2: int = 8
+    ber_add_scale: float = 0.05
+    ber_enabled: bool = True
+    soc_enabled: bool = True
+
+
+def count_parameters(model: nn.Module) -> int:
+    """Return the number of trainable parameters."""
+    return sum(p.numel() for p in model.parameters() if p.requires_grad)
+
+
+def conv_block(in_ch: int, out_ch: int, hidden: int, groups: int = 1) -> nn.Sequential:
+    return nn.Sequential(
+        nn.Conv2d(in_ch, hidden, 3, padding=1),
+        nn.GroupNorm(groups, hidden),
+        nn.SiLU(),
+        nn.Conv2d(hidden, hidden, 3, padding=1),
+        nn.GroupNorm(groups, hidden),
+        nn.SiLU(),
+        nn.Conv2d(hidden, out_ch, 1),
+    )
+
+
+class SpaceEncoder(nn.Module):
+    """Encode the latest observed spatial field into latent information state."""
+
+    def __init__(self, channels: int, latent_dim: int):
+        super().__init__()
+        self.net = nn.Sequential(
+            nn.Conv2d(channels, latent_dim, 3, padding=1),
+            nn.GroupNorm(1, latent_dim),
+            nn.SiLU(),
+            nn.Conv2d(latent_dim, latent_dim, 3, padding=1),
+            nn.GroupNorm(1, latent_dim),
+            nn.SiLU(),
+            nn.Conv2d(latent_dim, latent_dim, 1),
+        )
+
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        return self.net(x)
+
+
+class TimeHistoryEncoder(nn.Module):
+    """Encode a finite observation history as temporal context."""
+
+    def __init__(self, channels: int, hist_len: int, latent_dim: int):
+        super().__init__()
+        self.hist_len = hist_len
+        self.net = nn.Sequential(
+            nn.Conv2d(channels * hist_len, latent_dim, 3, padding=1),
+            nn.GroupNorm(1, latent_dim),
+            nn.SiLU(),
+            nn.Conv2d(latent_dim, latent_dim, 3, padding=1),
+            nn.GroupNorm(1, latent_dim),
+            nn.SiLU(),
+            nn.Conv2d(latent_dim, latent_dim, 1),
+        )
+
+    def forward(self, history: torch.Tensor) -> torch.Tensor:
+        # history: B, L, C, H, W
+        b, l, c, h, w = history.shape
+        if l != self.hist_len:
+            raise ValueError(f"Expected hist_len={self.hist_len}, got {l}.")
+        return self.net(history.reshape(b, l * c, h, w))
+
+
+class PhaseSpectralEncoder(nn.Module):
+    """FFT-based phase/amplitude encoder projected back to the spatial latent grid."""
+
+    def __init__(self, channels: int, latent_dim: int):
+        super().__init__()
+        self.freq_net = nn.Sequential(
+            nn.Conv2d(channels * 3, latent_dim, 1),
+            nn.GroupNorm(1, latent_dim),
+            nn.SiLU(),
+            nn.Conv2d(latent_dim, latent_dim, 1),
+            nn.GroupNorm(1, latent_dim),
+            nn.SiLU(),
+        )
+        self.spatial_net = nn.Sequential(
+            nn.Conv2d(latent_dim, latent_dim, 3, padding=1),
+            nn.GroupNorm(1, latent_dim),
+            nn.SiLU(),
+            nn.Conv2d(latent_dim, latent_dim, 1),
+        )
+
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        z = torch.fft.fft2(x, dim=(-2, -1), norm="ortho")
+        amp = torch.log1p(torch.abs(z))
+        feats = torch.cat([z.real, z.imag, amp], dim=1)
+        f = self.freq_net(feats)
+        # Return to the spatial support while retaining frequency-aware features.
+        f_complex = torch.complex(f, torch.zeros_like(f))
+        spatial = torch.fft.ifft2(f_complex, dim=(-2, -1), norm="ortho").real
+        return self.spatial_net(spatial)
+
+
+class FieldDecoder(nn.Module):
+    """Decode latent information state to physical/observed field."""
+
+    def __init__(self, latent_dim: int, channels: int, hidden: int = 64):
+        super().__init__()
+        self.net = nn.Sequential(
+            nn.Conv2d(latent_dim, hidden, 3, padding=1),
+            nn.GroupNorm(1, hidden),
+            nn.SiLU(),
+            nn.Conv2d(hidden, hidden, 3, padding=1),
+            nn.GroupNorm(1, hidden),
+            nn.SiLU(),
+            nn.Conv2d(hidden, channels, 1),
+        )
+
+    def forward(self, psi: torch.Tensor) -> torch.Tensor:
+        return self.net(psi)
+
+
+class SpectralFieldDecoder(nn.Module):
+    """Small spectral residual decoder used by CIDM for phase-aware readout."""
+
+    def __init__(self, latent_dim: int, channels: int):
+        super().__init__()
+        self.mix = nn.Sequential(
+            nn.Conv2d(latent_dim, latent_dim, 1),
+            nn.SiLU(),
+            nn.Conv2d(latent_dim, channels, 1),
+        )
+        self.scale = nn.Parameter(torch.tensor(-2.2))
+
+    def forward(self, psi: torch.Tensor) -> torch.Tensor:
+        z = torch.fft.fft2(psi, dim=(-2, -1), norm="ortho")
+        # Simple low-pass emphasis for phase-stable readout.
+        H, W = psi.shape[-2:]
+        ky = torch.fft.fftfreq(H, device=psi.device).view(1, 1, H, 1)
+        kx = torch.fft.fftfreq(W, device=psi.device).view(1, 1, 1, W)
+        filt = torch.exp(-6.0 * (kx ** 2 + ky ** 2))
+        low = torch.fft.ifft2(z * filt, dim=(-2, -1), norm="ortho").real
+        return torch.sigmoid(self.scale) * self.mix(low)
+
+
+class AntisymmetricFlux(nn.Module):
+    """Conservative local exchange field.
+
+    For each neighbor pair, the edge update is constructed as f(a,b)-f(b,a),
+    then added to one side and subtracted from the other. This encodes the idea
+    that local exchanges can redistribute information without creating it.
+    """
+
+    def __init__(self, latent_dim: int, hidden: int):
+        super().__init__()
+        self.edge_net = nn.Sequential(
+            nn.Conv2d(2 * latent_dim, hidden, 1),
+            nn.SiLU(),
+            nn.Conv2d(hidden, latent_dim, 1),
+        )
+
+    def edge(self, a: torch.Tensor, b: torch.Tensor) -> torch.Tensor:
+        return self.edge_net(torch.cat([a, b], dim=1)) - self.edge_net(torch.cat([b, a], dim=1))
+
+    def forward(self, psi: torch.Tensor) -> torch.Tensor:
+        out = torch.zeros_like(psi)
+        # x direction
+        right = torch.roll(psi, shifts=-1, dims=-1)
+        fx = self.edge(psi, right)
+        out = out + fx - torch.roll(fx, shifts=1, dims=-1)
+        # y direction; safe for H=1 because roll is identity and antisymmetry cancels.
+        down = torch.roll(psi, shifts=-1, dims=-2)
+        fy = self.edge(psi, down)
+        out = out + fy - torch.roll(fy, shifts=1, dims=-2)
+        return out
+
+
+class SkewChannelRotation(nn.Module):
+    """Learned skew-symmetric channel mixing for approximately conservative flow."""
+
+    def __init__(self, latent_dim: int):
+        super().__init__()
+        self.raw = nn.Parameter(torch.randn(latent_dim, latent_dim) * 0.02)
+
+    def forward(self, psi: torch.Tensor) -> torch.Tensor:
+        A = self.raw - self.raw.t()
+        return torch.einsum("ij,bjhw->bihw", A, psi)
+
+
+class HiddenReservoirTransfer(nn.Module):
+    """Internal hidden reservoir transfer for unobserved latent exchange."""
+
+    def __init__(self, latent_dim: int, hidden: int):
+        super().__init__()
+        self.net = conv_block(latent_dim, latent_dim, hidden)
+        self.scale = nn.Parameter(torch.tensor(-2.0))
+
+    def forward(self, psi: torch.Tensor) -> torch.Tensor:
+        return torch.sigmoid(self.scale) * self.net(psi)
+
+
+class ClosedInformationDynamicsCore(nn.Module):
+    """CIDM closed latent vector field."""
+
+    def __init__(self, latent_dim: int, hidden: int, use_flux: bool = True, use_hidden_reservoir: bool = True):
+        super().__init__()
+        self.use_flux = use_flux
+        self.use_hidden_reservoir = use_hidden_reservoir
+        self.skew = SkewChannelRotation(latent_dim)
+        self.flux = AntisymmetricFlux(latent_dim, hidden)
+        self.hidden = HiddenReservoirTransfer(latent_dim, hidden)
+        self.local = conv_block(latent_dim, latent_dim, hidden)
+        self.step_scale = nn.Parameter(torch.tensor(0.18))
+
+    def vector_field(self, psi: torch.Tensor) -> torch.Tensor:
+        dpsi = self.skew(psi)
+        if self.use_flux:
+            dpsi = dpsi + self.flux(psi)
+        if self.use_hidden_reservoir:
+            dpsi = dpsi + 0.25 * self.hidden(psi)
+        # A small local residual stabilizes non-Hamiltonian observed fields.
+        dpsi = dpsi + 0.10 * self.local(psi)
+        return dpsi
+
+    def forward(self, psi: torch.Tensor, dt_scale: float = 1.0) -> torch.Tensor:
+        alpha = torch.tanh(self.step_scale) * dt_scale
+        return psi + alpha * self.vector_field(psi)
+
+
+class LatentSpectralOperatorCore(nn.Module):
+    """Latent-domain spectral operator for CIDM-BER.
+
+    This is a residual spectral vector field inside the latent dynamics, not an
+    external FNO baseline. It learns complex low-frequency mode mixing and maps
+    it back to the latent grid as a global correction to local closed dynamics.
+    """
+
+    def __init__(self, latent_dim: int, hidden: int = 64, modes1: int = 8, modes2: int = 8):
+        super().__init__()
+        self.latent_dim = latent_dim
+        self.modes1 = modes1
+        self.modes2 = modes2
+        scale = 1.0 / max(1, latent_dim)
+        self.weight_pos = nn.Parameter(scale * torch.randn(latent_dim, latent_dim, modes1, modes2, 2))
+        self.weight_neg = nn.Parameter(scale * torch.randn(latent_dim, latent_dim, modes1, modes2, 2))
+        self.pre = nn.Sequential(
+            nn.Conv2d(latent_dim, latent_dim, 1),
+            nn.GroupNorm(1, latent_dim),
+            nn.SiLU(),
+        )
+        self.post = nn.Sequential(
+            nn.Conv2d(latent_dim, hidden, 1),
+            nn.SiLU(),
+            nn.Conv2d(hidden, latent_dim, 1),
+        )
+        self.logit_scale = nn.Parameter(torch.tensor(-1.8))
+
+    @staticmethod
+    def compl_mul2d(x: torch.Tensor, wri: torch.Tensor) -> torch.Tensor:
+        w = torch.view_as_complex(wri.contiguous())
+        return torch.einsum("bihw,iohw->bohw", x, w)
+
+    def forward(self, psi: torch.Tensor) -> torch.Tensor:
+        B, D, H, W = psi.shape
+        x = self.pre(psi)
+        x_ft = torch.fft.rfft2(x, dim=(-2, -1), norm="ortho")
+        out_ft = torch.zeros(B, D, H, W // 2 + 1, dtype=torch.cfloat, device=psi.device)
+        m1 = min(self.modes1, H)
+        m2 = min(self.modes2, W // 2 + 1)
+        out_ft[:, :, :m1, :m2] = self.compl_mul2d(x_ft[:, :, :m1, :m2], self.weight_pos[:, :, :m1, :m2])
+        if H > 1:
+            out_ft[:, :, -m1:, :m2] = self.compl_mul2d(x_ft[:, :, -m1:, :m2], self.weight_neg[:, :, :m1, :m2])
+        y = torch.fft.irfft2(out_ft, s=(H, W), dim=(-2, -1), norm="ortho")
+        return torch.sigmoid(self.logit_scale) * self.post(y)
+
+
+class BoundaryEnergyReservoir(nn.Module):
+    """Boundary Energy Reservoir (BER) residual closure layer.
+
+    BER is a virtual external energy reservoir, not a full external-state model.
+    It learns a minimal residual exchange field that accounts for open-system
+    effects not captured by the internal closed dynamics.
+    """
+
+    def __init__(self, latent_dim: int, port_channels: int, hidden: int):
+        super().__init__()
+        self.port_channels = max(1, port_channels)
+        in_ch = latent_dim * 2 + self.port_channels
+        self.net = nn.Sequential(
+            nn.Conv2d(in_ch, hidden, 3, padding=1),
+            nn.GroupNorm(1, hidden),
+            nn.SiLU(),
+            nn.Conv2d(hidden, hidden, 3, padding=1),
+            nn.GroupNorm(1, hidden),
+            nn.SiLU(),
+            nn.Conv2d(hidden, latent_dim, 3, padding=1),
+        )
+        mask_hidden = max(8, hidden // 2)
+        self.mask = nn.Sequential(
+            nn.Conv2d(in_ch, mask_hidden, 3, padding=1),
+            nn.SiLU(),
+            nn.Conv2d(mask_hidden, 1, 1),
+            nn.Sigmoid(),
+        )
+        self.logit_scale = nn.Parameter(torch.tensor(-3.0))
+
+    def _port_to_grid(self, psi: torch.Tensor, port: Optional[torch.Tensor]) -> torch.Tensor:
+        B, _, H, W = psi.shape
+        if port is None or port.numel() == 0:
+            return torch.zeros(B, self.port_channels, H, W, device=psi.device, dtype=psi.dtype)
+        if port.dim() != 4:
+            raise ValueError("port must be Tensor[B, C_port, H, W] for one step.")
+        p = port
+        if p.shape[-2:] != (H, W):
+            p = F.interpolate(p, size=(H, W), mode="bilinear", align_corners=False)
+        if p.shape[1] < self.port_channels:
+            pad = torch.zeros(B, self.port_channels - p.shape[1], H, W, device=psi.device, dtype=psi.dtype)
+            p = torch.cat([p, pad], dim=1)
+        elif p.shape[1] > self.port_channels:
+            p = p[:, : self.port_channels]
+        return p
+
+    def forward(
+        self,
+        psi: torch.Tensor,
+        internal_delta: torch.Tensor,
+        port: Optional[torch.Tensor] = None,
+    ) -> Tuple[torch.Tensor, Dict[str, torch.Tensor]]:
+        p = self._port_to_grid(psi, port)
+        x = torch.cat([psi, internal_delta, p], dim=1)
+        raw = torch.tanh(self.net(x))
+        mask = self.mask(x)
+        scale = torch.sigmoid(self.logit_scale)
+        ber_delta = scale * mask * raw
+        info = {
+            "ber_strength": ber_delta.abs().mean(),
+            "ber_mask_mean": mask.mean(),
+            "ber_scale": scale,
+        }
+        return ber_delta, info
+
+
+class CIDM(nn.Module):
+    """Closed Information Dynamics Model.
+
+    General-purpose主体架构. This version corresponds to the stabilized closed
+    dynamics backbone: spatial information encoding, temporal history encoding,
+    phase-spectral feature encoding, conservative local exchange, internal hidden
+    reservoir transfer, and autoregressive latent rollout.
+    """
+
+    def __init__(self, config: CIDMConfig):
+        super().__init__()
+        self.config = config
+        D = config.latent_dim
+        H = config.hidden
+        self.space_encoder = SpaceEncoder(config.channels, D)
+        self.time_encoder = TimeHistoryEncoder(config.channels, config.hist_len, D)
+        self.phase_encoder = PhaseSpectralEncoder(config.channels, D)
+        fuse_inputs = D + (D if config.use_time_encoder else 0) + (D if config.use_phase_encoder else 0)
+        self.fuse = nn.Sequential(nn.Conv2d(fuse_inputs, D, 1), nn.SiLU(), nn.Conv2d(D, D, 1))
+        self.core = ClosedInformationDynamicsCore(D, H, use_flux=config.use_flux, use_hidden_reservoir=config.use_hidden_reservoir)
+        self.decoder = FieldDecoder(D, config.channels, H)
+        self.spectral_decoder = SpectralFieldDecoder(D, config.channels)
+
+    def encode(self, history: torch.Tensor) -> torch.Tensor:
+        last = history[:, -1]
+        feats = [self.space_encoder(last)]
+        if self.config.use_time_encoder:
+            feats.append(self.time_encoder(history))
+        if self.config.use_phase_encoder:
+            feats.append(self.phase_encoder(last))
+        return self.fuse(torch.cat(feats, dim=1))
+
+    def decode(self, psi: torch.Tensor) -> torch.Tensor:
+        return self.decoder(psi) + self.spectral_decoder(psi)
+
+    def step(self, psi: torch.Tensor, step_index: int = 0, port: Optional[torch.Tensor] = None) -> Tuple[torch.Tensor, Dict[str, torch.Tensor]]:
+        psi_next = self.core(psi)
+        return psi_next, {"soc_strength": torch.zeros((), device=psi.device), "ber_strength": torch.zeros((), device=psi.device)}
+
+    def _select_port_step(self, port: Optional[torch.Tensor], t: int) -> Optional[torch.Tensor]:
+        if port is None:
+            return None
+        if port.dim() == 5:
+            return port[:, min(t, port.shape[1] - 1)]
+        return port
+
+    def forward(
+        self,
+        history: torch.Tensor,
+        horizon: Optional[int] = None,
+        port: Optional[torch.Tensor] = None,
+        target: Optional[torch.Tensor] = None,
+    ) -> Dict[str, torch.Tensor]:
+        horizon = int(horizon or self.config.horizon)
+        psi0 = self.encode(history)
+        psi = psi0
+        preds = []
+        latent_seq = []
+        soc_strengths, ber_strengths = [], []
+        energy0 = (psi0 ** 2).mean(dim=(1, 2, 3))
+        energies = []
+        for t in range(horizon):
+            psi, info = self.step(psi, t, self._select_port_step(port, t))
+            y = self.decode(psi)
+            preds.append(y)
+            latent_seq.append(psi)
+            energies.append((psi ** 2).mean(dim=(1, 2, 3)))
+            soc_strengths.append(info.get("soc_strength", torch.zeros((), device=psi.device)))
+            ber_strengths.append(info.get("ber_strength", torch.zeros((), device=psi.device)))
+        pred = torch.stack(preds, dim=1)
+        latent = torch.stack(latent_seq, dim=1)
+        energy = torch.stack(energies, dim=1)
+        diagnostics = {
+            "energy_drift": (energy[:, -1] - energy0).abs().mean(),
+            "soc_strength": torch.stack([s if s.dim() else s.expand(1) for s in soc_strengths]).mean(),
+            "ber_strength": torch.stack([b if b.dim() else b.expand(1) for b in ber_strengths]).mean(),
+        }
+        if target is not None:
+            diagnostics["rmse"] = torch.sqrt(F.mse_loss(pred, target))
+            diagnostics["mae"] = F.l1_loss(pred, target)
+        return {"pred": pred, "latent": psi, "latent_seq": latent, "diagnostics": diagnostics}
+
+
+class CIDM_BER(CIDM):
+    """CIDM with Spectral Operator Core and Boundary Energy Reservoir.
+
+    Physics-enhanced variant for systems with salient wave/flow propagation,
+    quasi-closed dynamics, boundary exchange, or energy closure requirements.
+    """
+
+    def __init__(self, config: CIDMConfig):
+        super().__init__(config)
+        self.soc = LatentSpectralOperatorCore(
+            config.latent_dim,
+            hidden=config.hidden,
+            modes1=config.soc_modes1,
+            modes2=config.soc_modes2,
+        )
+        self.ber = BoundaryEnergyReservoir(config.latent_dim, config.port_channels, config.hidden)
+        self.ber_add_scale = float(config.ber_add_scale)
+        self.soc_enabled = bool(config.soc_enabled)
+        self.ber_enabled = bool(config.ber_enabled)
+
+    def step(self, psi: torch.Tensor, step_index: int = 0, port: Optional[torch.Tensor] = None) -> Tuple[torch.Tensor, Dict[str, torch.Tensor]]:
+        psi_int = self.core(psi)
+        soc_delta = self.soc(psi) if self.soc_enabled else torch.zeros_like(psi)
+        psi_int = psi_int + soc_delta
+        internal_delta = psi_int - psi
+        if self.ber_enabled:
+            ber_delta, ber_info = self.ber(psi, internal_delta.detach(), port)
+            psi_next = psi_int + self.ber_add_scale * ber_delta
+        else:
+            ber_delta = torch.zeros_like(psi)
+            ber_info = {"ber_strength": torch.zeros((), device=psi.device), "ber_mask_mean": torch.zeros((), device=psi.device)}
+            psi_next = psi_int
+        info = {
+            "soc_strength": soc_delta.abs().mean(),
+            "ber_strength": ber_info["ber_strength"],
+            "ber_mask_mean": ber_info.get("ber_mask_mean", torch.zeros((), device=psi.device)),
+            "ber_budget_proxy": (ber_delta.mean(dim=(1, 2, 3)) - internal_delta.mean(dim=(1, 2, 3))).abs().mean(),
+        }
+        return psi_next, info
+
+
+def build_cidm(config: Optional[CIDMConfig] = None) -> CIDM:
+    return CIDM(config or CIDMConfig())
+
+
+def build_cidm_ber(config: Optional[CIDMConfig] = None) -> CIDM_BER:
+    cfg = config or CIDMConfig()
+    return CIDM_BER(cfg)
+
+
+# Backward-compatible aliases for previous internal experiment names.
+ClosedInformationDynamicsModel = CIDM
+ClosedInformationDynamicsBERModel = CIDM_BER
+STICM_V3_FULL_ALIAS = CIDM
+STICM_SOC_BER_ALIAS = CIDM_BER
+
+
+if __name__ == "__main__":
+    torch.manual_seed(0)
+    cfg = CIDMConfig(channels=1, hist_len=4, horizon=1, latent_dim=4, hidden=8, port_channels=1)
+    x = torch.randn(1, cfg.hist_len, cfg.channels, 4, 4)
+    port = torch.randn(1, cfg.port_channels, 4, 4)
+    for cls in [CIDM, CIDM_BER]:
+        model = cls(cfg)
+        out = model(x, port=port)
+        print(cls.__name__, out["pred"].shape, "params=", count_parameters(model), out["diagnostics"])
diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/frozen/cidm_foundation_core_v1.py b/A5_Final_Scaling_Compute_Saturation_3Seed/frozen/cidm_foundation_core_v1.py
new file mode 100644
index 0000000000000000000000000000000000000000..b3ff72bf71b4e7fd204f75ec295e6cd9baac76d8
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/frozen/cidm_foundation_core_v1.py
@@ -0,0 +1,392 @@
+"""
+CIDM Foundation Core v1.0
+=========================
+
+Frozen canonical implementation for fair external benchmarking.
+
+This file contains ONLY the universal core selected after the A1-R1-R3
+component-attribution review:
+
+1. Finite-history predictive information state.
+2. Spatial endpoint encoder.
+3. Temporal-history encoder.
+4. Fusion into a single latent information state.
+5. Bounded local latent residual dynamics.
+6. Bounded positive step size.
+7. Pure latent rollout.
+8. Field decoder.
+
+Not part of the universal core:
+- phase/spectral encoder,
+- skew-symmetric channel rotation,
+- antisymmetric flux,
+- hidden reservoir,
+- causal forcing port,
+- transport branch,
+- cross-scale transfer,
+- BER/SOC,
+- state-sync regularization,
+- Cayley update.
+
+Those are task-specific or training/numerical optionals and must not be silently
+enabled in Foundation Core benchmark runs.
+
+Important:
+The numerical caps below are architectural hyperparameters, not physical
+constants.
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import Dict, Optional, Tuple
+
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+
+
+@dataclass(frozen=True)
+class CIDMFoundationConfig:
+    spatial_dim: int = 2          # 1 or 2
+    channels: int = 1
+    hist_len: int = 4
+    horizon: int = 6
+    latent_dim: int = 32
+    hidden: int = 64
+
+    # Frozen benchmark defaults; architectural hyperparameters, not laws.
+    local_cap: float = 0.10
+    step_cap: float = 0.30
+
+
+def count_parameters(model: nn.Module) -> int:
+    return sum(p.numel() for p in model.parameters() if p.requires_grad)
+
+
+def _conv_nd(dim: int):
+    if dim == 1:
+        return nn.Conv1d
+    if dim == 2:
+        return nn.Conv2d
+    raise ValueError(f"spatial_dim must be 1 or 2, got {dim}")
+
+
+class ConvBlockND(nn.Module):
+    def __init__(self, dim: int, in_ch: int, out_ch: int, hidden: int):
+        super().__init__()
+        Conv = _conv_nd(dim)
+        self.net = nn.Sequential(
+            Conv(in_ch, hidden, 3, padding=1),
+            nn.GroupNorm(1, hidden),
+            nn.SiLU(),
+            Conv(hidden, hidden, 3, padding=1),
+            nn.GroupNorm(1, hidden),
+            nn.SiLU(),
+            Conv(hidden, out_ch, 1),
+        )
+
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        return self.net(x)
+
+
+class SpaceEncoder(nn.Module):
+    """Encode the latest observed spatial field X_t."""
+
+    def __init__(self, dim: int, channels: int, latent_dim: int, hidden: int):
+        super().__init__()
+        self.net = ConvBlockND(dim, channels, latent_dim, hidden)
+
+    def forward(self, x_t: torch.Tensor) -> torch.Tensor:
+        return self.net(x_t)
+
+
+class TimeHistoryEncoder(nn.Module):
+    """Encode finite history H_t = X_{t-L+1:t}."""
+
+    def __init__(
+        self,
+        dim: int,
+        channels: int,
+        hist_len: int,
+        latent_dim: int,
+        hidden: int,
+    ):
+        super().__init__()
+        self.hist_len = hist_len
+        self.channels = channels
+        self.net = ConvBlockND(
+            dim,
+            channels * hist_len,
+            latent_dim,
+            hidden,
+        )
+
+    def forward(self, history: torch.Tensor) -> torch.Tensor:
+        # history: [B, L, C, *S]
+        if history.shape[1] != self.hist_len:
+            raise ValueError(
+                f"Expected history length {self.hist_len}, got {history.shape[1]}"
+            )
+        b, l, c, *spatial = history.shape
+        if c != self.channels:
+            raise ValueError(f"Expected {self.channels} channels, got {c}")
+        x = history.reshape(b, l * c, *spatial)
+        return self.net(x)
+
+
+class InformationStateFusion(nn.Module):
+    """Fuse spatial endpoint and temporal-history views into Psi_t."""
+
+    def __init__(self, dim: int, latent_dim: int):
+        super().__init__()
+        Conv = _conv_nd(dim)
+        self.net = nn.Sequential(
+            Conv(2 * latent_dim, latent_dim, 1),
+            nn.SiLU(),
+            Conv(latent_dim, latent_dim, 1),
+        )
+
+    def forward(
+        self,
+        z_space: torch.Tensor,
+        z_time: torch.Tensor,
+    ) -> torch.Tensor:
+        return self.net(torch.cat([z_space, z_time], dim=1))
+
+
+class BoundedLocalResidualDynamics(nn.Module):
+    """
+    Minimal universal transition field.
+
+    The residual branch is bounded twice:
+    - branch responsibility: local_cap * sigmoid(local_logit)
+    - global step: step_cap * sigmoid(step_logit)
+
+    This prevents an unconstrained transition from silently dominating the
+    latent information state.
+    """
+
+    def __init__(
+        self,
+        dim: int,
+        latent_dim: int,
+        hidden: int,
+        local_cap: float,
+        step_cap: float,
+    ):
+        super().__init__()
+        self.local_cap = float(local_cap)
+        self.step_cap = float(step_cap)
+
+        self.local_net = ConvBlockND(
+            dim, latent_dim, latent_dim, hidden
+        )
+        self.local_logit = nn.Parameter(torch.tensor(-2.2))
+        self.step_logit = nn.Parameter(torch.tensor(-1.5))
+
+    def vector_field(self, psi: torch.Tensor) -> Tuple[torch.Tensor, Dict[str, torch.Tensor]]:
+        local_scale = self.local_cap * torch.sigmoid(self.local_logit)
+        raw = torch.tanh(self.local_net(psi))
+        delta_local = local_scale * raw
+
+        info = {
+            "local_scale": local_scale,
+            "local_strength": delta_local.abs().mean(),
+        }
+        return delta_local, info
+
+    def forward(
+        self,
+        psi: torch.Tensor,
+    ) -> Tuple[torch.Tensor, Dict[str, torch.Tensor]]:
+        delta_local, info = self.vector_field(psi)
+        step = self.step_cap * torch.sigmoid(self.step_logit)
+        psi_next = psi + step * delta_local
+
+        info = {
+            **info,
+            "step_size": step,
+            "delta_strength": (step * delta_local).abs().mean(),
+        }
+        return psi_next, info
+
+
+class FieldDecoder(nn.Module):
+    def __init__(self, dim: int, latent_dim: int, channels: int, hidden: int):
+        super().__init__()
+        self.net = ConvBlockND(dim, latent_dim, channels, hidden)
+
+    def forward(self, psi: torch.Tensor) -> torch.Tensor:
+        return self.net(psi)
+
+
+class CIDMFoundationCore(nn.Module):
+    """
+    Closed Information Dynamics Model — Foundation Core v1.0.
+
+    Input:
+        history: [B, L, C, *S]
+
+    Output dict:
+        pred:       [B, K, C, *S]
+        latent0:    [B, D, *S]
+        latent:     [B, D, *S]
+        latent_seq: [B, K, D, *S]
+        diagnostics
+    """
+
+    VERSION = "CIDM-Foundation-Core-v1.0"
+
+    def __init__(self, config: CIDMFoundationConfig):
+        super().__init__()
+        self.config = config
+
+        d = config.spatial_dim
+        D = config.latent_dim
+        H = config.hidden
+
+        self.space_encoder = SpaceEncoder(
+            d, config.channels, D, H
+        )
+        self.time_encoder = TimeHistoryEncoder(
+            d, config.channels, config.hist_len, D, H
+        )
+        self.fusion = InformationStateFusion(d, D)
+
+        self.dynamics = BoundedLocalResidualDynamics(
+            d, D, H,
+            local_cap=config.local_cap,
+            step_cap=config.step_cap,
+        )
+        self.decoder = FieldDecoder(
+            d, D, config.channels, H
+        )
+
+    def encode(self, history: torch.Tensor) -> torch.Tensor:
+        last = history[:, -1]
+        z_space = self.space_encoder(last)
+        z_time = self.time_encoder(history)
+        return self.fusion(z_space, z_time)
+
+    def step(
+        self,
+        psi: torch.Tensor,
+    ) -> Tuple[torch.Tensor, Dict[str, torch.Tensor]]:
+        return self.dynamics(psi)
+
+    def decode(self, psi: torch.Tensor) -> torch.Tensor:
+        return self.decoder(psi)
+
+    def forward(
+        self,
+        history: torch.Tensor,
+        horizon: Optional[int] = None,
+        target: Optional[torch.Tensor] = None,
+    ) -> Dict[str, torch.Tensor]:
+        K = int(horizon or self.config.horizon)
+
+        psi0 = self.encode(history)
+        psi = psi0
+
+        preds = []
+        states = []
+        local_strengths = []
+        step_sizes = []
+        delta_strengths = []
+
+        spatial_dims = tuple(range(1, psi.ndim))
+        energy0 = (psi ** 2).mean(dim=spatial_dims)
+        energies = []
+
+        for _ in range(K):
+            psi, info = self.step(psi)
+            y = self.decode(psi)
+
+            preds.append(y)
+            states.append(psi)
+            local_strengths.append(info["local_strength"])
+            step_sizes.append(info["step_size"])
+            delta_strengths.append(info["delta_strength"])
+            energies.append((psi ** 2).mean(dim=spatial_dims))
+
+        pred = torch.stack(preds, dim=1)
+        latent_seq = torch.stack(states, dim=1)
+        energy = torch.stack(energies, dim=1)
+
+        diagnostics: Dict[str, torch.Tensor] = {
+            "local_strength": torch.stack(local_strengths).mean(),
+            "step_size": torch.stack(step_sizes).mean(),
+            "delta_strength": torch.stack(delta_strengths).mean(),
+            "latent_energy_drift": (energy[:, -1] - energy0).abs().mean(),
+        }
+
+        if target is not None:
+            diagnostics["rmse"] = torch.sqrt(F.mse_loss(pred, target))
+            diagnostics["mae"] = F.l1_loss(pred, target)
+
+        return {
+            "pred": pred,
+            "latent0": psi0,
+            "latent": psi,
+            "latent_seq": latent_seq,
+            "diagnostics": diagnostics,
+        }
+
+
+def build_cidm_foundation_core(
+    *,
+    spatial_dim: int,
+    channels: int,
+    hist_len: int,
+    horizon: int,
+    latent_dim: int,
+    hidden: int,
+    local_cap: float = 0.10,
+    step_cap: float = 0.30,
+) -> CIDMFoundationCore:
+    cfg = CIDMFoundationConfig(
+        spatial_dim=spatial_dim,
+        channels=channels,
+        hist_len=hist_len,
+        horizon=horizon,
+        latent_dim=latent_dim,
+        hidden=hidden,
+        local_cap=local_cap,
+        step_cap=step_cap,
+    )
+    return CIDMFoundationCore(cfg)
+
+
+if __name__ == "__main__":
+    torch.manual_seed(0)
+
+    # 1D smoke
+    m1 = build_cidm_foundation_core(
+        spatial_dim=1,
+        channels=1,
+        hist_len=4,
+        horizon=6,
+        latent_dim=16,
+        hidden=32,
+    )
+    x1 = torch.randn(2, 4, 1, 64)
+    y1 = m1(x1)
+    assert y1["pred"].shape == (2, 6, 1, 64)
+
+    # 2D smoke
+    m2 = build_cidm_foundation_core(
+        spatial_dim=2,
+        channels=2,
+        hist_len=4,
+        horizon=6,
+        latent_dim=16,
+        hidden=32,
+    )
+    x2 = torch.randn(2, 4, 2, 24, 24)
+    y2 = m2(x2)
+    assert y2["pred"].shape == (2, 6, 2, 24, 24)
+
+    print("CIDM Foundation Core v1.0 smoke PASS")
+    print("1D params:", count_parameters(m1))
+    print("2D params:", count_parameters(m2))
diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/restored_A2_cache/advection_1d_L4_K6_tr128_va32_te32_w2_s4.pt b/A5_Final_Scaling_Compute_Saturation_3Seed/restored_A2_cache/advection_1d_L4_K6_tr128_va32_te32_w2_s4.pt
new file mode 100644
index 0000000000000000000000000000000000000000..acad8f817494e30abf06bc1515b9cd46fae5b38b
--- /dev/null
+++ b/A5_Final_Scaling_Compute_Saturation_3Seed/restored_A2_cache/advection_1d_L4_K6_tr128_va32_te32_w2_s4.pt
@@ -0,0 +1,3 @@
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new file mode 100644
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@@ -0,0 +1,3 @@
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@@ -0,0 +1,3 @@
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diff --git a/A5_Final_Scaling_Compute_Saturation_3Seed/source_checkout.csv b/A5_Final_Scaling_Compute_Saturation_3Seed/source_checkout.csv
new file mode 100644
index 0000000000000000000000000000000000000000..f4343eda79dd4c2652b8c8dcb0a776cd3fbf81c7
--- /dev/null
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@@ -0,0 +1,4 @@
+id,head,exact
+pdebench,4ff3e3a4aa1561721b5571fa3a048a0a463e0568,True
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+transolver,75e0f67643806a81cd1d3f6adc88dd8c02416fe7,True