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@@ -153,3 +153,9 @@ WaveCleanLDM/C6A_R1_FinalArchiveRobust/20260714_011148/Model_comparison_summary_
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 WaveCleanLDM/C6A_R1_FinalArchiveRobust/latest/Model_reconstruction_gallery_rect.png filter=lfs diff=lfs merge=lfs -text
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WaveCleanLDM/C6C_20H_BalancedResidualLDM/latest/C6C_20H_RELEASE_MANIFEST.json

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WaveCleanLDM/C6C_20H_BalancedResidualLDM/latest/Model_final_per_sample_metrics.csv

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WaveCleanLDM/C6C_20H_BalancedResidualLDM/latest/README_C6C_20H.md

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+# ICWDS C6-C 20H High-Capacity Residual LDM
+
+Formal path: `spectrum -> front end -> exact 30-byte packet -> packet-only direct spectrum -> latent residual diffusion -> Model`.
+
+- Accepted training volume: 200000 spectra.
+- Real sources: wuff-mann/ATLAS-WDS, wuff-mann/ATLAS-WDS-v4.
+- Synthetic physically diverse spectra: 40000.
+- Autoencoder latent: 8 x 6 x 9.
+- Residual LDM parameters: 51,562,760.
+- Total backend parameters: 70,526,379.
+- Diffusion training: 1000 cosine steps, v-prediction, residual target.
+- Formal sampling: 48-step DDIM residual refinement.
+- No full-resolution wave mask, artifact map, target spectrum, or target-derived noise start is available to the backend.
+- `LDM.pt` is the backend-only archive. `PACKAGE.pt` contains the jointly aligned front and backend.

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+19,0.017925823636353016,0.05986148818830649,0.02593705259843005,0.17461917757987977,0.023848266983197794,0.0071507835282633705,0.033658334030873246,0.08133095135291417,0.011636608687695116,0.04797472455538809,0.024519240716472268,0.1675567887723446,0.01933494838885963,0.005220535647822544,0.03693125047720969,0.07078278297558427,3.735902771249588e-05,
+20,0.017530573619322646,0.0591126456277238,0.025886984593338436,0.17432972553041245,0.02375357182489501,0.00710779886196057,0.0336453416198492,0.08074009771479501,0.012135825672885403,0.048435678239911795,0.02449804067146033,0.16753678768873215,0.01933383650612086,0.005290722503559664,0.03693794715218246,0.0713318632915616,3.024222127181372e-05,
+21,0.017302686686938008,0.058708873434613146,0.02584459539037198,0.174220945139726,0.023649133311895033,0.007062038922061523,0.033655299123687046,0.08039845655982693,0.012145266693551093,0.048873404040932655,0.024316378287039697,0.16717922687530518,0.018626256962306798,0.004546497133560479,0.03690407029353082,0.07101643993519247,2.6685156720224566e-05,LDM foundation reached its 8.00 h stage budget

WaveCleanLDM/C6C_20H_BalancedResidualLDM/latest/packet_alignment_history.csv

@@ -0,0 +1,4 @@
+epoch,train_diff,train_latent_l1,train_image_l1,train_image_ssim,train_marginal,train_mass,train_gradient,train_causal,train_causal_gap,train_total,val_mse,val_mae,val_ssim,val_direct_mse,val_mass_rel,lr,validation_ddim_steps,early_stop_reason
+1,0.26088835557712137,0.2863005229673229,0.045111828461148584,0.2845006673161617,0.0473008446257182,0.011488938498929128,0.03989981971146512,0.00010780355970498072,0.0876374364493817,0.38839801756869174,0.020299506020819535,0.0874467343383003,0.3501317319366787,0.019277781237178715,0.1485656992517761,5.9534421418844505e-05,24,
+2,0.19071010934396937,0.2450780442723203,0.039543888327236314,0.2542627516809276,0.03961435109924553,0.00931316965442486,0.03832378102180254,8.626369851236038e-05,0.10088962544959285,0.30265244581313827,0.018694070116907824,0.07660073804436252,0.40779901111311234,0.019277781237178715,0.12401021036384918,5.7081592107813095e-05,24,
+3,0.1819442987867764,0.23853334847305502,0.03844017731824091,0.24908779242209025,0.038072586792654226,0.008897888857671725,0.037990147645718286,8.911441111207198e-05,0.10278331164802824,0.29115907532828195,0.017902737490658183,0.07165570222423412,0.47222481416505424,0.019277781237178715,0.1400319238755401,5.515590468388755e-05,24,packet alignment reached its 3.50 h stage budget