diff --git a/README.md b/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..6c92e318ac62fcaf1d9beb263024028c0e8180bf
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+++ b/README.md
@@ -0,0 +1,162 @@
+---
+license: mit
+language:
+- en
+pretty_name: VITS-AD Evaluation Suite
+size_categories:
+- 10K<n<100K
+task_categories:
+- time-series-forecasting
+tags:
+- anomaly-detection
+- time-series
+- evaluation
+- benchmark
+- frozen-vision
+- regime-analysis
+- negative-results
+- neurips-2026
+---
+
+# VITS-AD Evaluation Suite
+
+**Companion artifact for the NeurIPS 2026 Evaluations & Datasets (E&D) Track
+submission *VITS-AD: A Regime-Aware Evaluation Suite for Frozen-Vision
+Time-Series Anomaly Detection*.**
+
+This dataset is **not a new corpus**. It bundles the *evaluation outputs*
+produced by the VITS-AD pipeline and the raw-space Mahalanobis baseline so
+that future work can:
+
+1. **Reproduce paper tables and statistical tests** without re-running the
+   full vision pipeline.
+2. **Run paired comparisons** (Wilcoxon, paired-99 UCR) directly on the
+   per-window scores.
+3. **Audit the regime classification** (amplitude vs. structural) against the
+   underlying evidence artifacts.
+
+The submission is **double-blind**; this dataset card is anonymous. Source
+code is at `https://github.com/evaldataset/VITS-AD` (reviewer-routed via
+`anonymous.4open.science`).
+
+## Contents
+
+| Folder              | Purpose                                                   | Size  |
+|---------------------|-----------------------------------------------------------|-------|
+| `regime_labels/`    | Per-dataset regime annotation + classifier features       | <1 KB |
+| `ledgers/`          | JSON ledgers underlying main-paper claims                 | 64 KB |
+| `ucr_canonical/`    | UCR 109/99 aggregated and per-series metrics              | 168 KB |
+| `multiseed_scores/` | Per-window scores + labels for 5 seeds × {LP,RP} × {PSM,MSL,SMAP}, no model weights | 9.8 MB |
+| `sample_renderings/`| Pipeline diagram and regime-gain figures                  | 1 MB  |
+
+Total: ~11 MB.
+
+## What this is for (E&D Track scope)
+
+The submission's contribution is **benchmark analysis and evaluation
+methodology**, not a new dataset. We therefore distribute:
+
+- The **regime axis** (amplitude vs. structural) along which vision
+  rendering does and does not pay off.
+- The **paired-99 UCR comparison** that demonstrates Wilcoxon $p<10^{-7}$
+  in favour of the vision pipeline on the structural univariate regime.
+- The **per-seed scores** that allow re-running paired Wilcoxon and
+  bootstrap confidence intervals on the multiseed PSM/MSL/SMAP runs.
+- The **calibration and FPS ledgers** that back the compute-disclosure and
+  CalibGuard tables in the paper supplement.
+
+We do **not** redistribute the raw benchmark datasets (SMD, PSM, MSL, SMAP,
+UCR Anomaly Archive). License and download paths for those upstream
+benchmarks are listed in the paper's Asset Credits table.
+
+## Files
+
+### `regime_labels/regime_labels.json`
+
+Per-dataset regime label, channel count, raw vs. VITS-AD AUC-ROC, and the
+five classifier features. The accompanying notes record the in-sample
+classifier accuracy ($90.1\%$), the majority-class baseline ($88.1\%$), and
+the leave-one-dataset-out CV collapse to chance — i.e., the regime axis is
+**descriptive**, not a deployable predictor.
+
+### `ledgers/`
+
+| File | Backed claim |
+|------|--------------|
+| `improved_ensemble_results.json` | SMD 28-entity macro AUC-ROC for VITS-AD vs. raw Mahalanobis |
+| `multiseed_results.json` | $n=5$ seed mean ± std for PSM/MSL/SMAP × {LP, RP} |
+| `multiseed_ensemble_summary.json` | Rank-mean ensemble across renderers per dataset |
+| `optimized_ensemble.json` | Oracle renderer-adaptive scoring |
+| `calibguard_multidataset.json` | Realized FAR vs. target FAR (empirical diagnostic) |
+| `fps_benchmark.json` | FPS, parameter count, and compute disclosure |
+| `clip_backbone_comparison.json` | DINOv2 vs. CLIP backbone ablation |
+| `ucr_results.json` | Legacy UCR aggregate (paired-99 in `ucr_canonical/`) |
+| `view_disagree_sweep.json` | Cross-view disagreement scoring sweep |
+
+### `ucr_canonical/`
+
+Authoritative UCR ledgers used by every UCR claim in the paper:
+
+| File | Description |
+|------|-------------|
+| `summary.json`     | 109-series VITS-AD aggregate |
+| `paired_99.json`   | 99-series paired comparison vs. raw Mahalanobis |
+| `combined_109.json`| Per-series VITS-AD scores |
+| `per_series.json`  | Per-series metric breakdown |
+| `eligible_list.json` | List of the 109 eligible UCR series |
+| `ucr_canonical.json` | Combined manifest |
+
+### `multiseed_scores/`
+
+Layout: `multiseed_scores/{psm,msl,smap}/{line_plot,recurrence_plot}/seed_{42,123,456,789,2024}/`
+
+Each leaf directory contains:
+
+- `scores.npy` — per-window anomaly score (float64)
+- `labels.npy` — per-window ground-truth label (int64, $\{0,1\}$)
+- `metrics.json` — AUC-ROC, AUC-PR, best-F1, F1-PA for that seed
+
+Model checkpoints (`best_model.pt`) are intentionally **not** redistributed
+to keep the bundle compact; they can be regenerated from the source repo.
+
+### `sample_renderings/`
+
+PDFs of the pipeline diagram (Figure 1), per-dataset regime gain
+(Figure 3a), and the regime-map scatter (Figure 4 in the supplement).
+
+## Reproducing the paper's statistical tests
+
+```python
+import json, numpy as np
+from scipy.stats import wilcoxon
+
+base = "multiseed_scores/psm/line_plot"
+seeds = [42, 123, 456, 789, 2024]
+aucs = []
+for s in seeds:
+    m = json.load(open(f"{base}/seed_{s}/metrics.json"))
+    aucs.append(m["auc_roc"])
+print(f"PSM-LP mean ± std: {np.mean(aucs):.4f} ± {np.std(aucs, ddof=1):.4f}")
+
+# Paired-99 UCR Wilcoxon (vision vs. raw Mahalanobis)
+paired = json.load(open("ucr_canonical/paired_99.json"))
+stat, p = wilcoxon(paired["vits_ad_auc"], paired["raw_maha_auc"])
+print(f"Paired-99 UCR Wilcoxon p={p:.2e}")
+```
+
+## License
+
+MIT. All redistributed JSON ledgers, regime annotations, and rendered
+example PDFs are original work of the (anonymous) authors and are released
+under MIT alongside the source repository.
+
+## Citation
+
+```bibtex
+@inproceedings{vitsad2026,
+  title  = {{VITS-AD}: A Regime-Aware Evaluation Suite for Frozen-Vision Time-Series Anomaly Detection},
+  author = {Anonymous},
+  booktitle = {Advances in Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track},
+  year   = {2026}
+}
+```
diff --git a/ledgers/calibguard_multidataset.json b/ledgers/calibguard_multidataset.json
new file mode 100644
index 0000000000000000000000000000000000000000..4dfcbb7b7760958e416cac962b9430c40ce33184
--- /dev/null
+++ b/ledgers/calibguard_multidataset.json
@@ -0,0 +1,211 @@
+{
+  "alpha_values": [
+    0.01,
+    0.05,
+    0.1
+  ],
+  "results": [
+    {
+      "dataset": "SMD_28_AVG",
+      "fixed": {
+        "0.01": {
+          "actual_far_mean": 0.038838448490490736,
+          "target_far_mean": 0.01,
+          "coverage_mean": 0.18295320699720508
+        },
+        "0.05": {
+          "actual_far_mean": 0.10971202460245601,
+          "target_far_mean": 0.05000000000000001,
+          "coverage_mean": 0.3538680802193038
+        },
+        "0.1": {
+          "actual_far_mean": 0.175083480367105,
+          "target_far_mean": 0.10000000000000002,
+          "coverage_mean": 0.46372721735765726
+        }
+      },
+      "rolling": {
+        "0.01": {
+          "empirical_far_mean": 0.1024712895482723,
+          "avg_alarms": 261.35714285714283,
+          "avg_predictions": 2512.5714285714284
+        },
+        "0.05": {
+          "empirical_far_mean": 0.26160542921518615,
+          "avg_alarms": 662.9285714285714,
+          "avg_predictions": 2512.5714285714284
+        },
+        "0.1": {
+          "empirical_far_mean": 0.40298647486691636,
+          "avg_alarms": 1017.6785714285714,
+          "avg_predictions": 2512.5714285714284
+        }
+      }
+    },
+    {
+      "dataset": "PSM",
+      "fixed": {
+        "0.01": {
+          "target_far": 0.01,
+          "actual_far": 0.00720675944333996,
+          "coverage": 0.02846492714334124,
+          "threshold": 0.9425856896081461,
+          "n_calibration": 4024,
+          "n_test_normal": 4024,
+          "n_test_anomaly": 2951
+        },
+        "0.05": {
+          "target_far": 0.05,
+          "actual_far": 0.02584493041749503,
+          "coverage": 0.09183327685530329,
+          "threshold": 0.8648058914446768,
+          "n_calibration": 4024,
+          "n_test_normal": 4024,
+          "n_test_anomaly": 2951
+        },
+        "0.1": {
+          "target_far": 0.1,
+          "actual_far": 0.061381709741550695,
+          "coverage": 0.15181294476448662,
+          "threshold": 0.7968906264205837,
+          "n_calibration": 4024,
+          "n_test_normal": 4024,
+          "n_test_anomaly": 2951
+        }
+      },
+      "rolling": {
+        "0.01": {
+          "empirical_far": 0.12028366215110464,
+          "n_alarms": 1323,
+          "n_predictions": 10999,
+          "drift_detected": false,
+          "final_threshold": 0.7312028366215111
+        },
+        "0.05": {
+          "empirical_far": 0.3218474406764251,
+          "n_alarms": 3540,
+          "n_predictions": 10999,
+          "drift_detected": false,
+          "final_threshold": 0.5315483225747796
+        },
+        "0.1": {
+          "empirical_far": 0.43894899536321486,
+          "n_alarms": 4828,
+          "n_predictions": 10999,
+          "drift_detected": false,
+          "final_threshold": 0.44622238385307755
+        }
+      }
+    },
+    {
+      "dataset": "MSL",
+      "fixed": {
+        "0.01": {
+          "target_far": 0.01,
+          "actual_far": 0.00032133676092544985,
+          "coverage": 0.0,
+          "threshold": 0.9919782460910944,
+          "n_calibration": 3112,
+          "n_test_normal": 3112,
+          "n_test_anomaly": 1131
+        },
+        "0.05": {
+          "target_far": 0.05,
+          "actual_far": 0.008354755784061696,
+          "coverage": 0.007073386383731211,
+          "threshold": 0.966757307953773,
+          "n_calibration": 3112,
+          "n_test_normal": 3112,
+          "n_test_anomaly": 1131
+        },
+        "0.1": {
+          "target_far": 0.1,
+          "actual_far": 0.04338046272493573,
+          "coverage": 0.04862953138815208,
+          "threshold": 0.9053025152957171,
+          "n_calibration": 3112,
+          "n_test_normal": 3112,
+          "n_test_anomaly": 1131
+        }
+      },
+      "rolling": {
+        "0.01": {
+          "empirical_far": 0.042284160435078176,
+          "n_alarms": 311,
+          "n_predictions": 7355,
+          "drift_detected": false,
+          "final_threshold": 0.837457511896669
+        },
+        "0.05": {
+          "empirical_far": 0.15295717199184228,
+          "n_alarms": 1125,
+          "n_predictions": 7355,
+          "drift_detected": false,
+          "final_threshold": 0.601631543167913
+        },
+        "0.1": {
+          "empirical_far": 0.2600951733514616,
+          "n_alarms": 1913,
+          "n_predictions": 7355,
+          "drift_detected": false,
+          "final_threshold": 0.49435757987763423
+        }
+      }
+    },
+    {
+      "dataset": "SMAP",
+      "fixed": {
+        "0.01": {
+          "target_far": 0.01,
+          "actual_far": 0.05964605636880053,
+          "coverage": 0.13411649534997552,
+          "threshold": 0.9245274190529665,
+          "n_calibration": 18307,
+          "n_test_normal": 18308,
+          "n_test_anomaly": 6129
+        },
+        "0.05": {
+          "target_far": 0.05,
+          "actual_far": 0.19729080183526326,
+          "coverage": 0.31261217164300864,
+          "threshold": 0.8224780086093955,
+          "n_calibration": 18307,
+          "n_test_normal": 18308,
+          "n_test_anomaly": 6129
+        },
+        "0.1": {
+          "target_far": 0.1,
+          "actual_far": 0.2787852305003277,
+          "coverage": 0.396312612171643,
+          "threshold": 0.7513569155904922,
+          "n_calibration": 18307,
+          "n_test_normal": 18308,
+          "n_test_anomaly": 6129
+        }
+      },
+      "rolling": {
+        "0.01": {
+          "empirical_far": 0.42628205128205127,
+          "n_alarms": 18221,
+          "n_predictions": 42744,
+          "drift_detected": false,
+          "final_threshold": 0.4676562792438705
+        },
+        "0.05": {
+          "empirical_far": 0.6344984091334457,
+          "n_alarms": 27121,
+          "n_predictions": 42744,
+          "drift_detected": false,
+          "final_threshold": 0.216673685195583
+        },
+        "0.1": {
+          "empirical_far": 0.7334128766610518,
+          "n_alarms": 31349,
+          "n_predictions": 42744,
+          "drift_detected": false,
+          "final_threshold": 0.17281957701665732
+        }
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/ledgers/clip_backbone_comparison.json b/ledgers/clip_backbone_comparison.json
new file mode 100644
index 0000000000000000000000000000000000000000..f30c5674da1946d5d300f429e9b322adafea20de
--- /dev/null
+++ b/ledgers/clip_backbone_comparison.json
@@ -0,0 +1,18 @@
+{
+  "clip_line_plot": {
+    "auc_pr": 0.6036196001345208,
+    "auc_roc": 0.8707853035505371
+  },
+  "clip_recurrence_plot": {
+    "auc_pr": 0.464941742047615,
+    "auc_roc": 0.7713926702538144
+  },
+  "dinov2_line_plot": {
+    "auc_pr": 0.3160005703709965,
+    "auc_roc": 0.7071254427632818
+  },
+  "dinov2_recurrence_plot": {
+    "auc_pr": 0.5727017633385711,
+    "auc_roc": 0.870398408997204
+  }
+}
\ No newline at end of file
diff --git a/ledgers/fps_benchmark.json b/ledgers/fps_benchmark.json
new file mode 100644
index 0000000000000000000000000000000000000000..0cd1b67ec0a3adf8428bd91f570f422c500dcdab
--- /dev/null
+++ b/ledgers/fps_benchmark.json
@@ -0,0 +1,25 @@
+{
+  "rendering_fps": {
+    "line_plot": 12.974609062025229,
+    "recurrence_plot": 313.29909591710623
+  },
+  "backbone_fps": {
+    "dinov2": 228.9713787009395,
+    "clip": 295.30419259047704
+  },
+  "predictor_fps": {
+    "default_2M": 904.1485049786883,
+    "improved_6M": 264.4656994678912
+  },
+  "e2e_fps": {
+    "dinov2_lp": 1.304555153378695,
+    "dinov2_rp": 21.69710898324057
+  },
+  "params": {
+    "default": 1982464,
+    "improved": 5927424
+  },
+  "hardware": "RTX 3090",
+  "batch_size": 64,
+  "notes": "Single GPU, batch_size=64, averaged over 100 batches"
+}
\ No newline at end of file
diff --git a/ledgers/improved_ensemble_results.json b/ledgers/improved_ensemble_results.json
new file mode 100644
index 0000000000000000000000000000000000000000..4e14c01ec7f001269dc752c21cc371293af0207b
--- /dev/null
+++ b/ledgers/improved_ensemble_results.json
@@ -0,0 +1,158 @@
+{
+  "smd": {
+    "best_config": {
+      "avg_auc_roc": 0.7918378373899827,
+      "ensemble_method": "zscore_weighted",
+      "n_entities": 28,
+      "smooth_method": "median",
+      "smooth_window": 7,
+      "w_lp": 0.4
+    },
+    "individual_lp_avg": 0.7313496588158753,
+    "individual_lp_count": 28,
+    "individual_rp_avg": 0.7751144086141056,
+    "individual_rp_count": 28,
+    "per_entity": {
+      "machine-1-1": {
+        "auc_pr": 0.724054607405761,
+        "auc_roc": 0.9413596491735428,
+        "f1_pa": 0.8820375335120644
+      },
+      "machine-1-2": {
+        "auc_pr": 0.133668555656749,
+        "auc_roc": 0.6765456069899828,
+        "f1_pa": 0.338235294117647
+      },
+      "machine-1-3": {
+        "auc_pr": 0.2713824426562613,
+        "auc_roc": 0.8318458879825686,
+        "f1_pa": 0.4656964656964656
+      },
+      "machine-1-4": {
+        "auc_pr": 0.3011864279181483,
+        "auc_roc": 0.7780104840290025,
+        "f1_pa": 0.5100671140939597
+      },
+      "machine-1-5": {
+        "auc_pr": 0.5301481362274075,
+        "auc_roc": 0.8707243629063737,
+        "f1_pa": 0.6474820143884893
+      },
+      "machine-1-6": {
+        "auc_pr": 0.2976263287849454,
+        "auc_roc": 0.5356752321227871,
+        "f1_pa": 0.6571699905033239
+      },
+      "machine-1-7": {
+        "auc_pr": 0.44985119795674205,
+        "auc_roc": 0.8069519932187701,
+        "f1_pa": 0.8028846153846153
+      },
+      "machine-1-8": {
+        "auc_pr": 0.27395749734549596,
+        "auc_roc": 0.6373417302785334,
+        "f1_pa": 0.4328358208955224
+      },
+      "machine-2-1": {
+        "auc_pr": 0.2918086256045621,
+        "auc_roc": 0.7156714859251352,
+        "f1_pa": 0.4518828451882845
+      },
+      "machine-2-2": {
+        "auc_pr": 0.26435908214203885,
+        "auc_roc": 0.538474851680691,
+        "f1_pa": 0.6381909547738693
+      },
+      "machine-2-3": {
+        "auc_pr": 0.5246510932454513,
+        "auc_roc": 0.9421270984755902,
+        "f1_pa": 0.5911949685534592
+      },
+      "machine-2-4": {
+        "auc_pr": 0.4162312583264607,
+        "auc_roc": 0.6999542098018608,
+        "f1_pa": 0.5685618729096991
+      },
+      "machine-2-5": {
+        "auc_pr": 0.5052516737803874,
+        "auc_roc": 0.7674418604651163,
+        "f1_pa": 0.7619047619047619
+      },
+      "machine-2-6": {
+        "auc_pr": 0.43610377116375476,
+        "auc_roc": 0.9113197229310974,
+        "f1_pa": 0.5325443786982249
+      },
+      "machine-2-7": {
+        "auc_pr": 0.38578040147032716,
+        "auc_roc": 0.8140941461942367,
+        "f1_pa": 0.5317460317460316
+      },
+      "machine-2-8": {
+        "auc_pr": 0.8948703105803091,
+        "auc_roc": 0.9991059306599557,
+        "f1_pa": 1.0
+      },
+      "machine-2-9": {
+        "auc_pr": 0.6142921421316155,
+        "auc_roc": 0.9301730688054032,
+        "f1_pa": 0.8436911487758945
+      },
+      "machine-3-1": {
+        "auc_pr": 0.5499116227697582,
+        "auc_roc": 0.9050056277187966,
+        "f1_pa": 0.7581699346405228
+      },
+      "machine-3-10": {
+        "auc_pr": 0.595899961602711,
+        "auc_roc": 0.7930400459163638,
+        "f1_pa": 0.6648936170212767
+      },
+      "machine-3-11": {
+        "auc_pr": 0.28834310216972586,
+        "auc_roc": 0.9702737971728699,
+        "f1_pa": 0.888888888888889
+      },
+      "machine-3-2": {
+        "auc_pr": 0.07066806671855427,
+        "auc_roc": 0.4482722257504952,
+        "f1_pa": 0.16613418530351437
+      },
+      "machine-3-3": {
+        "auc_pr": 0.2478452425750494,
+        "auc_roc": 0.6149505159921826,
+        "f1_pa": 0.33013435700575816
+      },
+      "machine-3-4": {
+        "auc_pr": 0.7011620088015779,
+        "auc_roc": 0.8693001841620625,
+        "f1_pa": 0.7582089552238807
+      },
+      "machine-3-5": {
+        "auc_pr": 0.3206817737185816,
+        "auc_roc": 0.7942422991014236,
+        "f1_pa": 0.4489795918367347
+      },
+      "machine-3-6": {
+        "auc_pr": 0.5738651289620765,
+        "auc_roc": 0.9355083522717847,
+        "f1_pa": 0.8045454545454547
+      },
+      "machine-3-7": {
+        "auc_pr": 0.23678923418259998,
+        "auc_roc": 0.7203015793335135,
+        "f1_pa": 0.6074074074074074
+      },
+      "machine-3-8": {
+        "auc_pr": 0.25637969304808367,
+        "auc_roc": 0.8005002038508582,
+        "f1_pa": 0.5972222222222222
+      },
+      "machine-3-9": {
+        "auc_pr": 0.6128131536801031,
+        "auc_roc": 0.9232472940085152,
+        "f1_pa": 0.7887323943661971
+      }
+    }
+  }
+}
\ No newline at end of file
diff --git a/ledgers/multiseed_ensemble_summary.json b/ledgers/multiseed_ensemble_summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..7ee725ab03d792bc771c90f3a276516afdb31beb
--- /dev/null
+++ b/ledgers/multiseed_ensemble_summary.json
@@ -0,0 +1,38 @@
+{
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\ No newline at end of file
diff --git a/ledgers/multiseed_results.json b/ledgers/multiseed_results.json
new file mode 100644
index 0000000000000000000000000000000000000000..c351fd5ba90ec84b7ad4451a4276368d29ac28d8
--- /dev/null
+++ b/ledgers/multiseed_results.json
@@ -0,0 +1,101 @@
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\ No newline at end of file
diff --git a/ledgers/optimized_ensemble.json b/ledgers/optimized_ensemble.json
new file mode 100644
index 0000000000000000000000000000000000000000..346f7e12512bf0a80fe2677a31ac0a693ea1f4b9
--- /dev/null
+++ b/ledgers/optimized_ensemble.json
@@ -0,0 +1,198 @@
+{
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+  }
+}
\ No newline at end of file
diff --git a/ledgers/ucr_results.json b/ledgers/ucr_results.json
new file mode 100644
index 0000000000000000000000000000000000000000..7404e90722fd0a0fed3546a49b22f0f45a7d4315
--- /dev/null
+++ b/ledgers/ucr_results.json
@@ -0,0 +1,195 @@
+{
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+    "OneClassSVM": {
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+  "dataset": "UCR Anomaly Archive 2021",
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+    "max_test_windows_per_series": 800,
+    "max_train_windows_per_series": 600,
+    "model": "facebook/dinov2-base",
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+    "renderer": "line_plot"
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+      "train_length": 4216
+    }
+  ],
+  "selected_series": [
+    "120_UCR_Anomaly_ECG2_15000_16000_16100.txt",
+    "152_UCR_Anomaly_PowerDemand1_9000_18485_18821.txt",
+    "113_UCR_Anomaly_CIMIS44AirTemperature1_4000_5391_5392.txt",
+    "132_UCR_Anomaly_InternalBleeding10_3200_4526_4556.txt",
+    "163_UCR_Anomaly_apneaecg2_10000_20950_21100.txt",
+    "173_UCR_Anomaly_insectEPG1_3000_7000_7030.txt",
+    "145_UCR_Anomaly_Lab2Cmac011215EPG1_5000_17210_17260.txt",
+    "162_UCR_Anomaly_WalkingAceleration5_2700_5920_5979.txt",
+    "205_UCR_Anomaly_CHARISfive_9812_28995_29085.txt",
+    "248_UCR_Anomaly_weallwalk_2000_4702_4707.txt"
+  ],
+  "stride": 1,
+  "window_size": 100
+}
\ No newline at end of file
diff --git a/ledgers/view_disagree_sweep.json b/ledgers/view_disagree_sweep.json
new file mode 100644
index 0000000000000000000000000000000000000000..daf78c27ae11890281a2f74438696828bc0cba3e
--- /dev/null
+++ b/ledgers/view_disagree_sweep.json
@@ -0,0 +1,442 @@
+{
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diff --git a/regime_labels/regime_labels.json b/regime_labels/regime_labels.json
new file mode 100644
index 0000000000000000000000000000000000000000..9a35c68dc56920805988eef8829eabc0c10ad269
--- /dev/null
+++ b/regime_labels/regime_labels.json
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+{
+  "schema_version": "1.0",
+  "description": "Regime classification labels for the VITS-AD evaluation suite. Each dataset is hand-labeled into one of two regimes based on whether vision rendering improves over a raw-space Mahalanobis baseline (Ledoit-Wolf).",
+  "regimes": {
+    "amplitude": {
+      "definition": "Amplitude-dominated multivariate regime where raw-space Mahalanobis (Ledoit-Wolf shrinkage) suffices. Vision rendering does not provide a meaningful gain.",
+      "datasets": ["SMD", "PSM"]
+    },
+    "structural": {
+      "definition": "Structural-visual regime where rendering produces distinctive visual signatures detectable by frozen DINOv2 patch tokens. Vision rendering provides a positive AUC-ROC gain.",
+      "datasets": ["MSL", "SMAP", "UCR-99-paired"]
+    }
+  },
+  "per_dataset": {
+    "SMD": {
+      "regime": "amplitude",
+      "channels": 38,
+      "raw_maha_auc_roc": 0.981,
+      "vits_ad_auc_roc": 0.809,
+      "delta_auc_roc": -0.172,
+      "evidence_artifact": "ledgers/improved_ensemble_results.json"
+    },
+    "PSM": {
+      "regime": "amplitude",
+      "channels": 25,
+      "raw_maha_auc_roc": 0.769,
+      "vits_ad_auc_roc": 0.697,
+      "delta_auc_roc": -0.072,
+      "evidence_artifact": "ledgers/multiseed_ensemble_summary.json"
+    },
+    "MSL": {
+      "regime": "structural",
+      "channels": 55,
+      "raw_maha_auc_roc": 0.607,
+      "vits_ad_auc_roc": 0.637,
+      "delta_auc_roc": 0.030,
+      "evidence_artifact": "ledgers/multiseed_results.json"
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+    "SMAP": {
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+      "channels": 25,
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+      "vits_ad_auc_roc": 0.697,
+      "delta_auc_roc": 0.295,
+      "evidence_artifact": "ledgers/multiseed_results.json"
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+    "UCR-99-paired": {
+      "regime": "structural",
+      "channels": 1,
+      "raw_maha_auc_roc": 0.676,
+      "vits_ad_auc_roc": 0.880,
+      "delta_auc_roc": 0.204,
+      "wilcoxon_p_value": "<1e-7",
+      "evidence_artifact": "ucr_canonical/paired_99.json"
+    }
+  },
+  "classifier_features": [
+    "channel_count_log",
+    "signal_entropy_mean",
+    "anomaly_density",
+    "renderer_compression_ratio",
+    "lag1_autocorrelation"
+  ],
+  "in_sample_classifier_accuracy": 0.901,
+  "majority_class_baseline": 0.881,
+  "leave_one_dataset_out_cv_accuracy": "approximately chance",
+  "scope": "Descriptive characterization, not a deployable predictor."
+}
diff --git a/sample_renderings/pipeline.pdf b/sample_renderings/pipeline.pdf
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diff --git a/sample_renderings/regime_gain.pdf b/sample_renderings/regime_gain.pdf
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diff --git a/ucr_canonical/combined_109.json b/ucr_canonical/combined_109.json
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+      "VITS_Dist": 0.4870729963144288,
+      "VITS_Dual": 0.6321442323560151
+    },
+    "241_UCR_Anomaly_taichidbS0715Master_250000_837400_839100": {
+      "VITS_Traj": 0.25529336734693875,
+      "VITS_Dist": 0.5119132653061225,
+      "VITS_Dual": 0.3017920918367347
+    }
+  }
+}
\ No newline at end of file
diff --git a/ucr_canonical/eligible_list.json b/ucr_canonical/eligible_list.json
new file mode 100644
index 0000000000000000000000000000000000000000..bfedeaf8f8df4fbc272ab9ec53e52f2a7bac2d1e
--- /dev/null
+++ b/ucr_canonical/eligible_list.json
@@ -0,0 +1,129 @@
+{
+  "n_eligible": 109,
+  "n_vits_complete": 99,
+  "n_vits_missing": 10,
+  "n_raw_complete": 109,
+  "vits_missing_series": [
+    "239_UCR_Anomaly_taichidbS0715Master_190037_593450_593514",
+    "240_UCR_Anomaly_taichidbS0715Master_240030_884100_884200",
+    "241_UCR_Anomaly_taichidbS0715Master_250000_837400_839100",
+    "243_UCR_Anomaly_tilt12744mtable_100000_203355_203400",
+    "245_UCR_Anomaly_tilt12754table_100211_270800_271070",
+    "246_UCR_Anomaly_tilt12755mtable_100211_270800_271070",
+    "247_UCR_Anomaly_tilt12755mtable_50211_121900_121980",
+    "248_UCR_Anomaly_weallwalk_2000_4702_4707",
+    "249_UCR_Anomaly_weallwalk_2753_8285_8315",
+    "250_UCR_Anomaly_weallwalk_2951_7290_7296"
+  ],
+  "all_eligible_series": [
+    "109_UCR_Anomaly_1sddb40_35000_52000_52620",
+    "110_UCR_Anomaly_2sddb40_35000_56600_56900",
+    "111_UCR_Anomaly_3sddb40_35000_46600_46900",
+    "112_UCR_Anomaly_BIDMC1_2500_5400_5600",
+    "113_UCR_Anomaly_CIMIS44AirTemperature1_4000_5391_5392",
+    "114_UCR_Anomaly_CIMIS44AirTemperature2_4000_5703_5727",
+    "115_UCR_Anomaly_CIMIS44AirTemperature3_4000_6520_6544",
+    "116_UCR_Anomaly_CIMIS44AirTemperature4_4000_5549_5597",
+    "117_UCR_Anomaly_CIMIS44AirTemperature5_4000_4852_4900",
+    "118_UCR_Anomaly_CIMIS44AirTemperature6_4000_6006_6054",
+    "120_UCR_Anomaly_ECG2_15000_16000_16100",
+    "121_UCR_Anomaly_ECG3_15000_16000_16100",
+    "122_UCR_Anomaly_ECG3_8000_17000_17100",
+    "124_UCR_Anomaly_ECG4_5000_16900_17100",
+    "125_UCR_Anomaly_ECG4_5000_17000_17100",
+    "126_UCR_Anomaly_ECG4_8000_17000_17100",
+    "127_UCR_Anomaly_GP711MarkerLFM5z1_5000_6168_6212",
+    "128_UCR_Anomaly_GP711MarkerLFM5z2_5000_7175_7388",
+    "130_UCR_Anomaly_GP711MarkerLFM5z4_4000_6527_6645",
+    "131_UCR_Anomaly_GP711MarkerLFM5z5_5000_8612_8716",
+    "132_UCR_Anomaly_InternalBleeding10_3200_4526_4556",
+    "133_UCR_Anomaly_InternalBleeding14_2800_5607_5634",
+    "134_UCR_Anomaly_InternalBleeding15_1700_5684_5854",
+    "135_UCR_Anomaly_InternalBleeding16_1200_4187_4199",
+    "137_UCR_Anomaly_InternalBleeding18_2300_4485_4587",
+    "138_UCR_Anomaly_InternalBleeding19_3000_4187_4197",
+    "139_UCR_Anomaly_InternalBleeding20_2700_5759_5919",
+    "140_UCR_Anomaly_InternalBleeding4_1000_4675_5033",
+    "141_UCR_Anomaly_InternalBleeding5_4000_6200_6370",
+    "143_UCR_Anomaly_InternalBleeding8_2500_5865_5974",
+    "144_UCR_Anomaly_InternalBleeding9_4200_6599_6681",
+    "145_UCR_Anomaly_Lab2Cmac011215EPG1_5000_17210_17260",
+    "146_UCR_Anomaly_Lab2Cmac011215EPG2_5000_27862_27932",
+    "147_UCR_Anomaly_Lab2Cmac011215EPG3_5000_16390_16420",
+    "148_UCR_Anomaly_Lab2Cmac011215EPG4_6000_17390_17520",
+    "149_UCR_Anomaly_Lab2Cmac011215EPG5_7000_17390_17520",
+    "151_UCR_Anomaly_MesoplodonDensirostris_10000_19280_19440",
+    "152_UCR_Anomaly_PowerDemand1_9000_18485_18821",
+    "153_UCR_Anomaly_PowerDemand2_14000_23357_23717",
+    "154_UCR_Anomaly_PowerDemand3_16000_23405_23477",
+    "155_UCR_Anomaly_PowerDemand4_18000_24005_24077",
+    "156_UCR_Anomaly_TkeepFifthMARS_3500_5988_6085",
+    "158_UCR_Anomaly_TkeepForthMARS_3500_5988_6085",
+    "159_UCR_Anomaly_TkeepSecondMARS_3500_9330_9340",
+    "162_UCR_Anomaly_WalkingAceleration5_2700_5920_5979",
+    "163_UCR_Anomaly_apneaecg2_10000_20950_21100",
+    "167_UCR_Anomaly_gait1_20000_38500_38800",
+    "168_UCR_Anomaly_gait2_22000_46500_46800",
+    "169_UCR_Anomaly_gait3_24500_59900_60500",
+    "170_UCR_Anomaly_gaitHunt1_18500_33070_33180",
+    "172_UCR_Anomaly_gaitHunt3_23400_38400_39200",
+    "173_UCR_Anomaly_insectEPG1_3000_7000_7030",
+    "174_UCR_Anomaly_insectEPG2_3700_8000_8025",
+    "175_UCR_Anomaly_insectEPG3_5200_7000_7050",
+    "176_UCR_Anomaly_insectEPG4_1300_6508_6558",
+    "177_UCR_Anomaly_insectEPG5_3200_8500_8501",
+    "178_UCR_Anomaly_ltstdbs30791AI_17555_52600_52800",
+    "179_UCR_Anomaly_ltstdbs30791AS_23000_52600_52800",
+    "180_UCR_Anomaly_ltstdbs30791ES_20000_52600_52800",
+    "181_UCR_Anomaly_park3m_60000_72150_72495",
+    "184_UCR_Anomaly_resperation10_48000_130700_131880",
+    "185_UCR_Anomaly_resperation11_58000_110800_110801",
+    "186_UCR_Anomaly_resperation1_100000_110260_110412",
+    "187_UCR_Anomaly_resperation2_30000_168250_168250",
+    "188_UCR_Anomaly_resperation2_30000_168250_168251",
+    "189_UCR_Anomaly_resperation3_45000_158250_158251",
+    "190_UCR_Anomaly_resperation4_70000_128430_128431",
+    "191_UCR_Anomaly_resperation9_38000_143411_143511",
+    "192_UCR_Anomaly_s20101mML2_12000_35774_35874",
+    "193_UCR_Anomaly_s20101m_10000_35774_35874",
+    "194_UCR_Anomaly_sddb49_20000_67950_68200",
+    "195_UCR_Anomaly_sel840mECG1_17000_51370_51740",
+    "196_UCR_Anomaly_sel840mECG2_20000_49370_49740",
+    "197_UCR_Anomaly_tiltAPB1_100000_114283_114350",
+    "198_UCR_Anomaly_tiltAPB2_50000_124159_124985",
+    "199_UCR_Anomaly_tiltAPB3_40000_114000_114370",
+    "200_UCR_Anomaly_tiltAPB4_20000_67995_67996",
+    "205_UCR_Anomaly_CHARISfive_9812_28995_29085",
+    "206_UCR_Anomaly_CHARISten_25130_29080_29140",
+    "207_UCR_Anomaly_CHARISten_3165_26929_26989",
+    "208_UCR_Anomaly_CHARISten_5130_27929_27989",
+    "210_UCR_Anomaly_Italianpowerdemand_36123_74900_74996",
+    "212_UCR_Anomaly_Italianpowerdemand_8913_29480_29504",
+    "216_UCR_Anomaly_STAFFIIIDatabase_37216_160720_161370",
+    "217_UCR_Anomaly_STAFFIIIDatabase_38211_150720_151370",
+    "218_UCR_Anomaly_STAFFIIIDatabase_41117_210720_211370",
+    "220_UCR_Anomaly_STAFFIIIDatabase_43217_250720_251370",
+    "221_UCR_Anomaly_STAFFIIIDatabase_45616_163632_164852",
+    "223_UCR_Anomaly_mit14046longtermecg_74123_131200_131700",
+    "224_UCR_Anomaly_mit14046longtermecg_76123_191200_191700",
+    "225_UCR_Anomaly_mit14046longtermecg_81214_143000_143300",
+    "226_UCR_Anomaly_mit14046longtermecg_96123_123000_123300",
+    "228_UCR_Anomaly_mit14134longtermecg_11361_47830_47850",
+    "229_UCR_Anomaly_mit14134longtermecg_16363_57960_57970",
+    "231_UCR_Anomaly_mit14134longtermecg_8763_47530_47790",
+    "232_UCR_Anomaly_mit14134longtermecg_8763_57530_57790",
+    "235_UCR_Anomaly_mit14157longtermecg_18913_75450_75451",
+    "237_UCR_Anomaly_mit14157longtermecg_19313_89560_90370",
+    "238_UCR_Anomaly_mit14157longtermecg_21311_72600_72780",
+    "239_UCR_Anomaly_taichidbS0715Master_190037_593450_593514",
+    "240_UCR_Anomaly_taichidbS0715Master_240030_884100_884200",
+    "241_UCR_Anomaly_taichidbS0715Master_250000_837400_839100",
+    "243_UCR_Anomaly_tilt12744mtable_100000_203355_203400",
+    "245_UCR_Anomaly_tilt12754table_100211_270800_271070",
+    "246_UCR_Anomaly_tilt12755mtable_100211_270800_271070",
+    "247_UCR_Anomaly_tilt12755mtable_50211_121900_121980",
+    "248_UCR_Anomaly_weallwalk_2000_4702_4707",
+    "249_UCR_Anomaly_weallwalk_2753_8285_8315",
+    "250_UCR_Anomaly_weallwalk_2951_7290_7296"
+  ]
+}
\ No newline at end of file
diff --git a/ucr_canonical/paired_99.json b/ucr_canonical/paired_99.json
new file mode 100644
index 0000000000000000000000000000000000000000..7b60a95e6e67b1b8f0848a158db9cf2e4f7a5809
--- /dev/null
+++ b/ucr_canonical/paired_99.json
@@ -0,0 +1,36 @@
+{
+  "paired_99": {
+    "VITS_Traj": {
+      "mean": 0.7245914866890159,
+      "n": 99
+    },
+    "VITS_Dist": {
+      "mean": 0.8873114308282801,
+      "n": 99
+    },
+    "VITS_Dual": {
+      "mean": 0.8463592812938541,
+      "n": 99
+    },
+    "RawMaha_Flattened": {
+      "mean": 0.6665271344783863,
+      "n": 99
+    },
+    "RawMaha_MeanPooled": {
+      "mean": 0.5447580306173437,
+      "n": 99
+    },
+    "LOF": {
+      "mean": 0.5935572439599927,
+      "n": 99
+    },
+    "IsolationForest": {
+      "mean": 0.5088939997070935,
+      "n": 99
+    },
+    "OneClassSVM": {
+      "mean": 0.5230296093713755,
+      "n": 99
+    }
+  }
+}
\ No newline at end of file
diff --git a/ucr_canonical/per_series.json b/ucr_canonical/per_series.json
new file mode 100644
index 0000000000000000000000000000000000000000..b1a098afc966b14ef872244277658268613c16ca
--- /dev/null
+++ b/ucr_canonical/per_series.json
@@ -0,0 +1,1310 @@
+{
+  "109_UCR_Anomaly_1sddb40_35000_52000_52620": {
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+    "in_raw": true,
+    "VITS_Traj": 0.7335049335049335,
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+  "110_UCR_Anomaly_2sddb40_35000_56600_56900": {
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+    "in_raw": true,
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+  "111_UCR_Anomaly_3sddb40_35000_46600_46900": {
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+  "113_UCR_Anomaly_CIMIS44AirTemperature1_4000_5391_5392": {
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+    "in_raw": true,
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+  "115_UCR_Anomaly_CIMIS44AirTemperature3_4000_6520_6544": {
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+  "116_UCR_Anomaly_CIMIS44AirTemperature4_4000_5549_5597": {
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+  "127_UCR_Anomaly_GP711MarkerLFM5z1_5000_6168_6212": {
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+    "in_raw": true,
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+    "IsolationForest": 0.7992762454762861,
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+  "228_UCR_Anomaly_mit14134longtermecg_11361_47830_47850": {
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+    "in_raw": true,
+    "VITS_Traj": 0.7034220532319392,
+    "VITS_Dist": 0.9809885931558936,
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+  "229_UCR_Anomaly_mit14134longtermecg_16363_57960_57970": {
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+    "in_raw": true,
+    "VITS_Traj": 0.6687790452049007,
+    "VITS_Dist": 0.977608787494719,
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+  "231_UCR_Anomaly_mit14134longtermecg_8763_47530_47790": {
+    "in_vits": true,
+    "in_raw": true,
+    "VITS_Traj": 0.8831202046035805,
+    "VITS_Dist": 0.9322250639386189,
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+  "232_UCR_Anomaly_mit14134longtermecg_8763_57530_57790": {
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+    "in_raw": true,
+    "VITS_Traj": 0.6590038314176245,
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+  },
+  "235_UCR_Anomaly_mit14157longtermecg_18913_75450_75451": {
+    "in_vits": true,
+    "in_raw": true,
+    "VITS_Traj": 0.9310126582278481,
+    "VITS_Dist": 0.9968354430379747,
+    "VITS_Dual": 0.9962025316455696,
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+    "RawMaha_Flattened": 0.9999997956451991,
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+    "IsolationForest": 0.3811844404254667,
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+  "237_UCR_Anomaly_mit14157longtermecg_19313_89560_90370": {
+    "in_vits": true,
+    "in_raw": true,
+    "VITS_Traj": 0.8895752895752896,
+    "VITS_Dist": 0.9470613470613471,
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+  "238_UCR_Anomaly_mit14157longtermecg_21311_72600_72780": {
+    "in_vits": true,
+    "in_raw": true,
+    "VITS_Traj": 0.8921319796954315,
+    "VITS_Dist": 0.9428934010152283,
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+  "239_UCR_Anomaly_taichidbS0715Master_190037_593450_593514": {
+    "in_vits": false,
+    "in_raw": true,
+    "VITS_Traj": null,
+    "VITS_Dist": null,
+    "VITS_Dual": null,
+    "RawMaha_MeanPooled": 0.706431170506711,
+    "RawMaha_Flattened": 0.9353480545891775,
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+    "IsolationForest": 0.5387093464443811,
+    "OneClassSVM": 0.8465230862384621
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+  "240_UCR_Anomaly_taichidbS0715Master_240030_884100_884200": {
+    "in_vits": false,
+    "in_raw": true,
+    "VITS_Traj": null,
+    "VITS_Dist": null,
+    "VITS_Dual": null,
+    "RawMaha_MeanPooled": 0.404078398758286,
+    "RawMaha_Flattened": 0.8386163083915757,
+    "LOF": 0.5,
+    "IsolationForest": 0.4320770912228347,
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+  "241_UCR_Anomaly_taichidbS0715Master_250000_837400_839100": {
+    "in_vits": false,
+    "in_raw": true,
+    "VITS_Traj": null,
+    "VITS_Dist": null,
+    "VITS_Dual": null,
+    "RawMaha_MeanPooled": 0.5404189953207474,
+    "RawMaha_Flattened": 0.47998184065149996,
+    "LOF": 0.5088888888888888,
+    "IsolationForest": 0.4608693110853729,
+    "OneClassSVM": 0.5244381716770699
+  },
+  "243_UCR_Anomaly_tilt12744mtable_100000_203355_203400": {
+    "in_vits": false,
+    "in_raw": true,
+    "VITS_Traj": null,
+    "VITS_Dist": null,
+    "VITS_Dual": null,
+    "RawMaha_MeanPooled": 0.606282779240084,
+    "RawMaha_Flattened": 0.8518820449021863,
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+  "245_UCR_Anomaly_tilt12754table_100211_270800_271070": {
+    "in_vits": false,
+    "in_raw": true,
+    "VITS_Traj": null,
+    "VITS_Dist": null,
+    "VITS_Dual": null,
+    "RawMaha_MeanPooled": 0.7401217899676649,
+    "RawMaha_Flattened": 0.6852335200113985,
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+  "246_UCR_Anomaly_tilt12755mtable_100211_270800_271070": {
+    "in_vits": false,
+    "in_raw": true,
+    "VITS_Traj": null,
+    "VITS_Dist": null,
+    "VITS_Dual": null,
+    "RawMaha_MeanPooled": 0.7346876291204395,
+    "RawMaha_Flattened": 0.7495814169637472,
+    "LOF": 0.8250632029011582,
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+    "OneClassSVM": 0.5333263685523413
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+  "247_UCR_Anomaly_tilt12755mtable_50211_121900_121980": {
+    "in_vits": false,
+    "in_raw": true,
+    "VITS_Traj": null,
+    "VITS_Dist": null,
+    "VITS_Dual": null,
+    "RawMaha_MeanPooled": 0.7161205875503766,
+    "RawMaha_Flattened": 0.5032458336536715,
+    "LOF": 0.8035631634482429,
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+    "OneClassSVM": 0.19747902202701093
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+  "248_UCR_Anomaly_weallwalk_2000_4702_4707": {
+    "in_vits": false,
+    "in_raw": true,
+    "VITS_Traj": null,
+    "VITS_Dist": null,
+    "VITS_Dual": null,
+    "RawMaha_MeanPooled": 0.9440108246688506,
+    "RawMaha_Flattened": 0.9949769738403836,
+    "LOF": 0.49791933722641596,
+    "IsolationForest": 0.5817749133551726,
+    "OneClassSVM": 0.43366448274224945
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+  "249_UCR_Anomaly_weallwalk_2753_8285_8315": {
+    "in_vits": false,
+    "in_raw": true,
+    "VITS_Traj": null,
+    "VITS_Dist": null,
+    "VITS_Dual": null,
+    "RawMaha_MeanPooled": 0.4476363691940883,
+    "RawMaha_Flattened": 0.724889574959116,
+    "LOF": 0.5210457136743646,
+    "IsolationForest": 0.4058613153188953,
+    "OneClassSVM": 0.6599069220070611
+  },
+  "250_UCR_Anomaly_weallwalk_2951_7290_7296": {
+    "in_vits": false,
+    "in_raw": true,
+    "VITS_Traj": null,
+    "VITS_Dist": null,
+    "VITS_Dual": null,
+    "RawMaha_MeanPooled": 0.48074000982977977,
+    "RawMaha_Flattened": 0.9094928659060468,
+    "LOF": 0.5390968233303444,
+    "IsolationForest": 0.631547402424429,
+    "OneClassSVM": 0.4071339063619685
+  }
+}
\ No newline at end of file
diff --git a/ucr_canonical/summary.json b/ucr_canonical/summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..89209eba231e9cd56d647ffe351301035a148d6f
--- /dev/null
+++ b/ucr_canonical/summary.json
@@ -0,0 +1,66 @@
+{
+  "VITS_Traj": {
+    "n": 99,
+    "mean": 0.7245914866890159,
+    "std": 0.2001016159751618,
+    "median": 0.7705676020408163,
+    "min": 0.20480404551201015,
+    "max": 1.0
+  },
+  "VITS_Dist": {
+    "n": 99,
+    "mean": 0.8873114308282801,
+    "std": 0.1393582337897493,
+    "median": 0.9300616271838074,
+    "min": 0.06573957016434895,
+    "max": 1.0
+  },
+  "VITS_Dual": {
+    "n": 99,
+    "mean": 0.8463592812938538,
+    "std": 0.1664621771943186,
+    "median": 0.905796876455429,
+    "min": 0.17319848293299622,
+    "max": 1.0
+  },
+  "RawMaha_MeanPooled": {
+    "n": 109,
+    "mean": 0.552766730140129,
+    "std": 0.19123198201016914,
+    "median": 0.5333246376154073,
+    "min": 0.15745187402217536,
+    "max": 0.9659820572834183
+  },
+  "RawMaha_Flattened": {
+    "n": 109,
+    "mean": 0.6757746307085233,
+    "std": 0.28630445746005423,
+    "median": 0.7217817583643545,
+    "min": 0.0003243611447804717,
+    "max": 1.0
+  },
+  "LOF": {
+    "n": 109,
+    "mean": 0.598265312708211,
+    "std": 0.14052711237562684,
+    "median": 0.5318850964043773,
+    "min": 0.4262069150367698,
+    "max": 0.9698625243586714
+  },
+  "IsolationForest": {
+    "n": 109,
+    "mean": 0.5089133677130041,
+    "std": 0.1223773786657154,
+    "median": 0.5156514235044494,
+    "min": 0.1227318692850039,
+    "max": 0.7992762454762861
+  },
+  "OneClassSVM": {
+    "n": 109,
+    "mean": 0.5236031878083547,
+    "std": 0.13277540989582784,
+    "median": 0.532624828366272,
+    "min": 0.1272737429292626,
+    "max": 0.8465230862384621
+  }
+}
\ No newline at end of file
diff --git a/ucr_canonical/ucr_canonical.json b/ucr_canonical/ucr_canonical.json
new file mode 100644
index 0000000000000000000000000000000000000000..babcb558b1a64326cb40045c02a3dded861e8889
--- /dev/null
+++ b/ucr_canonical/ucr_canonical.json
@@ -0,0 +1,1509 @@
+{
+  "schema_version": "1.0",
+  "description": "Canonical UCR Anomaly Archive results. Eligible = series that passed both VITS and raw-Mahalanobis pipelines. Numbers in paper Table~\\ref{tab:ucr} are taken from this file.",
+  "eligible": {
+    "n_eligible": 109,
+    "n_vits_complete": 99,
+    "n_vits_missing": 10,
+    "n_raw_complete": 109,
+    "vits_missing_series": [
+      "239_UCR_Anomaly_taichidbS0715Master_190037_593450_593514",
+      "240_UCR_Anomaly_taichidbS0715Master_240030_884100_884200",
+      "241_UCR_Anomaly_taichidbS0715Master_250000_837400_839100",
+      "243_UCR_Anomaly_tilt12744mtable_100000_203355_203400",
+      "245_UCR_Anomaly_tilt12754table_100211_270800_271070",
+      "246_UCR_Anomaly_tilt12755mtable_100211_270800_271070",
+      "247_UCR_Anomaly_tilt12755mtable_50211_121900_121980",
+      "248_UCR_Anomaly_weallwalk_2000_4702_4707",
+      "249_UCR_Anomaly_weallwalk_2753_8285_8315",
+      "250_UCR_Anomaly_weallwalk_2951_7290_7296"
+    ],
+    "all_eligible_series": [
+      "109_UCR_Anomaly_1sddb40_35000_52000_52620",
+      "110_UCR_Anomaly_2sddb40_35000_56600_56900",
+      "111_UCR_Anomaly_3sddb40_35000_46600_46900",
+      "112_UCR_Anomaly_BIDMC1_2500_5400_5600",
+      "113_UCR_Anomaly_CIMIS44AirTemperature1_4000_5391_5392",
+      "114_UCR_Anomaly_CIMIS44AirTemperature2_4000_5703_5727",
+      "115_UCR_Anomaly_CIMIS44AirTemperature3_4000_6520_6544",
+      "116_UCR_Anomaly_CIMIS44AirTemperature4_4000_5549_5597",
+      "117_UCR_Anomaly_CIMIS44AirTemperature5_4000_4852_4900",
+      "118_UCR_Anomaly_CIMIS44AirTemperature6_4000_6006_6054",
+      "120_UCR_Anomaly_ECG2_15000_16000_16100",
+      "121_UCR_Anomaly_ECG3_15000_16000_16100",
+      "122_UCR_Anomaly_ECG3_8000_17000_17100",
+      "124_UCR_Anomaly_ECG4_5000_16900_17100",
+      "125_UCR_Anomaly_ECG4_5000_17000_17100",
+      "126_UCR_Anomaly_ECG4_8000_17000_17100",
+      "127_UCR_Anomaly_GP711MarkerLFM5z1_5000_6168_6212",
+      "128_UCR_Anomaly_GP711MarkerLFM5z2_5000_7175_7388",
+      "130_UCR_Anomaly_GP711MarkerLFM5z4_4000_6527_6645",
+      "131_UCR_Anomaly_GP711MarkerLFM5z5_5000_8612_8716",
+      "132_UCR_Anomaly_InternalBleeding10_3200_4526_4556",
+      "133_UCR_Anomaly_InternalBleeding14_2800_5607_5634",
+      "134_UCR_Anomaly_InternalBleeding15_1700_5684_5854",
+      "135_UCR_Anomaly_InternalBleeding16_1200_4187_4199",
+      "137_UCR_Anomaly_InternalBleeding18_2300_4485_4587",
+      "138_UCR_Anomaly_InternalBleeding19_3000_4187_4197",
+      "139_UCR_Anomaly_InternalBleeding20_2700_5759_5919",
+      "140_UCR_Anomaly_InternalBleeding4_1000_4675_5033",
+      "141_UCR_Anomaly_InternalBleeding5_4000_6200_6370",
+      "143_UCR_Anomaly_InternalBleeding8_2500_5865_5974",
+      "144_UCR_Anomaly_InternalBleeding9_4200_6599_6681",
+      "145_UCR_Anomaly_Lab2Cmac011215EPG1_5000_17210_17260",
+      "146_UCR_Anomaly_Lab2Cmac011215EPG2_5000_27862_27932",
+      "147_UCR_Anomaly_Lab2Cmac011215EPG3_5000_16390_16420",
+      "148_UCR_Anomaly_Lab2Cmac011215EPG4_6000_17390_17520",
+      "149_UCR_Anomaly_Lab2Cmac011215EPG5_7000_17390_17520",
+      "151_UCR_Anomaly_MesoplodonDensirostris_10000_19280_19440",
+      "152_UCR_Anomaly_PowerDemand1_9000_18485_18821",
+      "153_UCR_Anomaly_PowerDemand2_14000_23357_23717",
+      "154_UCR_Anomaly_PowerDemand3_16000_23405_23477",
+      "155_UCR_Anomaly_PowerDemand4_18000_24005_24077",
+      "156_UCR_Anomaly_TkeepFifthMARS_3500_5988_6085",
+      "158_UCR_Anomaly_TkeepForthMARS_3500_5988_6085",
+      "159_UCR_Anomaly_TkeepSecondMARS_3500_9330_9340",
+      "162_UCR_Anomaly_WalkingAceleration5_2700_5920_5979",
+      "163_UCR_Anomaly_apneaecg2_10000_20950_21100",
+      "167_UCR_Anomaly_gait1_20000_38500_38800",
+      "168_UCR_Anomaly_gait2_22000_46500_46800",
+      "169_UCR_Anomaly_gait3_24500_59900_60500",
+      "170_UCR_Anomaly_gaitHunt1_18500_33070_33180",
+      "172_UCR_Anomaly_gaitHunt3_23400_38400_39200",
+      "173_UCR_Anomaly_insectEPG1_3000_7000_7030",
+      "174_UCR_Anomaly_insectEPG2_3700_8000_8025",
+      "175_UCR_Anomaly_insectEPG3_5200_7000_7050",
+      "176_UCR_Anomaly_insectEPG4_1300_6508_6558",
+      "177_UCR_Anomaly_insectEPG5_3200_8500_8501",
+      "178_UCR_Anomaly_ltstdbs30791AI_17555_52600_52800",
+      "179_UCR_Anomaly_ltstdbs30791AS_23000_52600_52800",
+      "180_UCR_Anomaly_ltstdbs30791ES_20000_52600_52800",
+      "181_UCR_Anomaly_park3m_60000_72150_72495",
+      "184_UCR_Anomaly_resperation10_48000_130700_131880",
+      "185_UCR_Anomaly_resperation11_58000_110800_110801",
+      "186_UCR_Anomaly_resperation1_100000_110260_110412",
+      "187_UCR_Anomaly_resperation2_30000_168250_168250",
+      "188_UCR_Anomaly_resperation2_30000_168250_168251",
+      "189_UCR_Anomaly_resperation3_45000_158250_158251",
+      "190_UCR_Anomaly_resperation4_70000_128430_128431",
+      "191_UCR_Anomaly_resperation9_38000_143411_143511",
+      "192_UCR_Anomaly_s20101mML2_12000_35774_35874",
+      "193_UCR_Anomaly_s20101m_10000_35774_35874",
+      "194_UCR_Anomaly_sddb49_20000_67950_68200",
+      "195_UCR_Anomaly_sel840mECG1_17000_51370_51740",
+      "196_UCR_Anomaly_sel840mECG2_20000_49370_49740",
+      "197_UCR_Anomaly_tiltAPB1_100000_114283_114350",
+      "198_UCR_Anomaly_tiltAPB2_50000_124159_124985",
+      "199_UCR_Anomaly_tiltAPB3_40000_114000_114370",
+      "200_UCR_Anomaly_tiltAPB4_20000_67995_67996",
+      "205_UCR_Anomaly_CHARISfive_9812_28995_29085",
+      "206_UCR_Anomaly_CHARISten_25130_29080_29140",
+      "207_UCR_Anomaly_CHARISten_3165_26929_26989",
+      "208_UCR_Anomaly_CHARISten_5130_27929_27989",
+      "210_UCR_Anomaly_Italianpowerdemand_36123_74900_74996",
+      "212_UCR_Anomaly_Italianpowerdemand_8913_29480_29504",
+      "216_UCR_Anomaly_STAFFIIIDatabase_37216_160720_161370",
+      "217_UCR_Anomaly_STAFFIIIDatabase_38211_150720_151370",
+      "218_UCR_Anomaly_STAFFIIIDatabase_41117_210720_211370",
+      "220_UCR_Anomaly_STAFFIIIDatabase_43217_250720_251370",
+      "221_UCR_Anomaly_STAFFIIIDatabase_45616_163632_164852",
+      "223_UCR_Anomaly_mit14046longtermecg_74123_131200_131700",
+      "224_UCR_Anomaly_mit14046longtermecg_76123_191200_191700",
+      "225_UCR_Anomaly_mit14046longtermecg_81214_143000_143300",
+      "226_UCR_Anomaly_mit14046longtermecg_96123_123000_123300",
+      "228_UCR_Anomaly_mit14134longtermecg_11361_47830_47850",
+      "229_UCR_Anomaly_mit14134longtermecg_16363_57960_57970",
+      "231_UCR_Anomaly_mit14134longtermecg_8763_47530_47790",
+      "232_UCR_Anomaly_mit14134longtermecg_8763_57530_57790",
+      "235_UCR_Anomaly_mit14157longtermecg_18913_75450_75451",
+      "237_UCR_Anomaly_mit14157longtermecg_19313_89560_90370",
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+}
\ No newline at end of file