Results, figures and source (weights kept on scratch)

README.md

@@ -1,15 +1,9 @@
 ---
 license: apache-2.0
-tags: [masked-diffusion, discrete-diffusion, length-generalization, positional-encoding, from-scratch]
+tags: [masked-diffusion, parallel-decoding, text8, qm9, from-scratch]
 ---
 
-# Length Generalization in Masked Diffusion Language Models
-
-From-scratch masked diffusion language models (MDLM-style absorbing state) and
-matched autoregressive baselines, trained on arithmetic and algorithmic tasks and
-evaluated far beyond the lengths seen in training.
-
-**No pretrained weights or tokenizers are used anywhere.**
+# Two Failure Modes of Parallel Decoding in Masked Diffusion
 
 Code: https://github.com/GIND123/MSML612
 
@@ -40,19 +34,28 @@ Answers are unique but only ~10 characters with shallow, local dependencies. One
 | english | 95.3 | 95.2 | -0.1 |
 | finnish | 50.9 | 55.8 | +4.9 |
 | finnish | 48.6 | 56.6 | +8.0 |
+| finnish | 48.3 | 53.5 | +5.3 |
+| finnish | 50.6 | 55.6 | +4.9 |
 | finnish | 50.9 | 55.8 | +4.9 |
 | finnish | 52.9 | 57.9 | +4.9 |
+| finnish | 50.3 | 57.0 | +6.7 |
+| finnish | 53.6 | 60.9 | +7.3 |
 | finnish | 48.6 | 56.6 | +8.0 |
 | finnish | 54.3 | 61.7 | +7.4 |
 | georgian | 94.3 | 94.1 | -0.2 |
 | georgian | 95.4 | 95.3 | -0.1 |
+| georgian | 94.8 | 94.5 | -0.3 |
+| georgian | 93.9 | 93.8 | -0.1 |
 | georgian | 94.3 | 94.1 | -0.2 |
 | georgian | 93.8 | 94.0 | +0.1 |
+| georgian | 94.4 | 94.9 | +0.5 |
+| georgian | 94.1 | 93.8 | -0.3 |
 | georgian | 95.4 | 95.3 | -0.1 |
 | georgian | 93.9 | 93.9 | +0.0 |
 | german | 78.9 | 79.3 | +0.4 |
 | german | 75.6 | 79.5 | +3.9 |
 | german | 78.6 | 78.9 | +0.3 |
+| german | 77.9 | 78.5 | +0.7 |
 | german | 78.9 | 79.3 | +0.4 |
 | german | 77.9 | 78.0 | +0.1 |
 | german | 79.4 | 81.0 | +1.7 |
@@ -62,22 +65,34 @@ Answers are unique but only ~10 characters with shallow, local dependencies. One
 | german | 77.2 | 78.3 | +1.0 |
 | navajo | 29.5 | 33.8 | +4.3 |
 | navajo | 31.4 | 40.2 | +8.9 |
+| navajo | 33.7 | 39.0 | +5.2 |
+| navajo | 24.2 | 30.8 | +6.6 |
 | navajo | 29.5 | 33.8 | +4.3 |
 | navajo | 24.3 | 29.0 | +4.8 |
+| navajo | 31.1 | 39.3 | +8.2 |
+| navajo | 26.3 | 34.0 | +7.7 |
 | navajo | 31.4 | 40.2 | +8.9 |
 | navajo | 24.6 | 31.7 | +7.1 |
 | russian | 72.7 | 72.0 | -0.7 |
 | russian | 69.1 | 71.7 | +2.6 |
+| russian | 73.5 | 73.0 | -0.5 |
+| russian | 74.2 | 74.5 | +0.4 |
 | russian | 72.7 | 72.0 | -0.7 |
 | russian | 71.9 | 72.0 | +0.1 |
+| russian | 73.1 | 73.3 | +0.3 |
+| russian | 76.3 | 76.2 | -0.1 |
 | russian | 69.1 | 71.7 | +2.6 |
 | russian | 74.1 | 75.9 | +1.8 |
 | spanish | 84.9 | 84.7 | -0.2 |
 | spanish | 83.9 | 84.1 | +0.1 |
 | turkish | 80.2 | 81.2 | +1.0 |
 | turkish | 77.5 | 82.2 | +4.7 |
+| turkish | 77.3 | 78.9 | +1.6 |
+| turkish | 83.1 | 83.9 | +0.8 |
 | turkish | 80.2 | 81.2 | +1.0 |
 | turkish | 84.5 | 85.1 | +0.7 |
+| turkish | 77.0 | 80.9 | +3.9 |
+| turkish | 80.4 | 83.8 | +3.4 |
 | turkish | 77.5 | 82.2 | +4.7 |
 | turkish | 79.9 | 82.2 | +2.3 |
 | turkish | 76.4 | 81.8 | +5.4 |
@@ -112,19 +127,73 @@ The account in THEORY.md predicts minimum depth growing as log2(n), since the ca
 | digits | 2L | 3L | 4L | 6L | 8L | 12L | log2(n) | min depth >90% |
 |---|---|---|---|---|---|---|---|---|
 | **4** | 100 | 100 | 100 | 100 | 100 | 100 | 2.0 | 2 |
-| **8** | 99 | 100 | 100 | 100 | 100 | – | 3.0 | 2 |
-| **12** | 48 | 100 | 100 | – | – | – | 3.6 | 3 |
+| **8** | 99 | 100 | 100 | 100 | 100 | 100 | 3.0 | 2 |
+| **12** | 48 | 100 | 100 | 100 | – | – | 3.6 | 3 |
+| **16** | 0 | 50 | – | – | – | – | 4.0 | – |
 
 ## Table 7 — Which component carries the gain (inflection)
 
 | language | mdlm | matched | distill | full | (gap 1→32) |
 |---|---|---|---|---|---|
-| finnish | 51.4 | – | – | 51.9 | +7.7 / – / – / +4.9 |
-| georgian | 94.6 | – | – | 94.1 | -0.0 / – / – / -0.0 |
-| german | 76.0 | 77.9 | 78.6 | 78.4 | +3.2 / +1.4 / +0.3 / +0.2 |
-| navajo | 28.0 | – | – | 26.9 | +8.0 / – / – / +4.5 |
-| russian | 71.6 | – | – | 72.3 | +2.2 / – / – / -0.3 |
-| turkish | 78.7 | – | – | 82.3 | +3.5 / – / – / +0.8 |
+| finnish | 51.4 | 52.0 | 49.4 | 51.9 | +7.7 / +7.0 / +5.1 / +4.9 |
+| georgian | 94.6 | 94.3 | 94.3 | 94.1 | -0.0 / +0.1 / -0.2 / -0.0 |
+| german | 76.0 | 77.9 | 78.2 | 78.4 | +3.2 / +1.4 / +0.5 / +0.2 |
+| navajo | 28.0 | 28.7 | 29.0 | 26.9 | +8.0 / +8.0 / +5.9 / +4.5 |
+| russian | 71.6 | 74.7 | 73.9 | 72.3 | +2.2 / +0.1 / -0.1 / -0.3 |
+| turkish | 78.7 | 78.7 | 80.2 | 82.3 | +3.5 / +3.7 / +1.2 / +0.8 |
+
+## Table 8 — text8: quality against compute
+
+Generative perplexity under a from-scratch autoregressive character evaluator, against the number of function evaluations actually used. Entropy and distinct-4-gram rate are reported beside it because generative perplexity alone is gamed by degenerate repetition; the real-text reference row is the target, not zero.
+
+Real text8 reference — ppl 2.86, entropy 2.855, distinct-4 0.177
+
+| training | decoding | NFE | gen ppl | entropy | distinct-4 | valid BPC |
+|---|---|---|---|---|---|---|
+| mdlm | conf_0.5 | 234.5 | 32.99 | 2.871 | 0.360 | 1.7225 |
+| mdlm | conf_0.7 | 248.5 | 16.99 | 2.866 | 0.295 | 1.7225 |
+| mdlm | conf_0.9 | 252.8 | 9.78 | 2.848 | 0.245 | 1.7225 |
+| mdlm | conf_0.95 | 254.0 | 9.08 | 2.856 | 0.238 | 1.7225 |
+| mdlm | conf_0.99 | 255.5 | 8.74 | 2.851 | 0.236 | 1.7225 |
+| mdlm | entbudget_0.05 | 256.0 | 9.47 | 2.854 | 0.241 | 1.7225 |
+| mdlm | entbudget_0.1 | 255.5 | 8.79 | 2.861 | 0.241 | 1.7225 |
+| mdlm | entbudget_0.25 | 255.0 | 8.93 | 2.858 | 0.239 | 1.7225 |
+| mdlm | entbudget_0.5 | 253.2 | 9.39 | 2.858 | 0.243 | 1.7225 |
+| mdlm | entbudget_1.0 | 248.2 | 10.39 | 2.857 | 0.248 | 1.7225 |
+| mdlm | entbudget_2.0 | 245.0 | 15.44 | 2.861 | 0.279 | 1.7225 |
+| mdlm | entbudget_4.0 | 223.2 | 51.18 | 2.882 | 0.401 | 1.7225 |
+| mdlm | entbudget_8.0 | 96.5 | 111.68 | 2.888 | 0.520 | 1.7225 |
+| mdlm | fixedK_1 | 1.0 | 646.96 | 2.860 | 0.630 | 1.7225 |
+| mdlm | fixedK_128 | 128.0 | 44.33 | 2.867 | 0.410 | 1.7225 |
+| mdlm | fixedK_16 | 16.0 | 126.50 | 2.878 | 0.532 | 1.7225 |
+| mdlm | fixedK_2 | 2.0 | 310.58 | 2.890 | 0.625 | 1.7225 |
+| mdlm | fixedK_256 | 256.0 | 8.98 | 2.854 | 0.241 | 1.7225 |
+| mdlm | fixedK_32 | 32.0 | 95.60 | 2.875 | 0.497 | 1.7225 |
+| mdlm | fixedK_4 | 4.0 | 155.18 | 2.881 | 0.550 | 1.7225 |
+| mdlm | fixedK_64 | 64.0 | 86.83 | 2.882 | 0.490 | 1.7225 |
+| mdlm | fixedK_8 | 8.0 | 121.66 | 2.879 | 0.527 | 1.7225 |
+| matched | conf_0.5 | 237.5 | 32.44 | 2.873 | 0.366 | 1.6946 |
+| matched | conf_0.7 | 242.0 | 14.86 | 2.854 | 0.282 | 1.6946 |
+| matched | conf_0.9 | 249.2 | 9.67 | 2.856 | 0.248 | 1.6946 |
+| matched | conf_0.95 | 251.2 | 8.65 | 2.855 | 0.241 | 1.6946 |
+| matched | conf_0.99 | 254.8 | 8.34 | 2.853 | 0.236 | 1.6946 |
+| matched | entbudget_0.05 | 256.0 | 8.39 | 2.857 | 0.241 | 1.6946 |
+| matched | entbudget_0.1 | 256.0 | 8.50 | 2.855 | 0.238 | 1.6946 |
+| matched | entbudget_0.25 | 255.0 | 8.72 | 2.857 | 0.243 | 1.6946 |
+| matched | entbudget_0.5 | 253.2 | 9.00 | 2.863 | 0.247 | 1.6946 |
+| matched | entbudget_1.0 | 251.5 | 10.02 | 2.861 | 0.255 | 1.6946 |
+| matched | entbudget_2.0 | 247.2 | 14.98 | 2.862 | 0.284 | 1.6946 |
+| matched | entbudget_4.0 | 235.2 | 47.92 | 2.885 | 0.403 | 1.6946 |
+| matched | entbudget_8.0 | 98.0 | 104.65 | 2.895 | 0.526 | 1.6946 |
+| matched | fixedK_1 | 1.0 | 651.67 | 2.860 | 0.631 | 1.6946 |
+| matched | fixedK_128 | 128.0 | 42.38 | 2.869 | 0.407 | 1.6946 |
+| matched | fixedK_16 | 16.0 | 94.52 | 2.868 | 0.502 | 1.6946 |
+| matched | fixedK_2 | 2.0 | 295.79 | 2.881 | 0.620 | 1.6946 |
+| matched | fixedK_256 | 256.0 | 8.19 | 2.852 | 0.235 | 1.6946 |
+| matched | fixedK_32 | 32.0 | 93.33 | 2.882 | 0.510 | 1.6946 |
+| matched | fixedK_4 | 4.0 | 146.64 | 2.880 | 0.558 | 1.6946 |
+| matched | fixedK_64 | 64.0 | 76.89 | 2.884 | 0.484 | 1.6946 |
+| matched | fixedK_8 | 8.0 | 123.33 | 2.876 | 0.540 | 1.6946 |
 
 ## Table 9 — Did the baseline fail to parallelise, or fail to learn?
 

figures/beat_d12.json

@@ -31,10 +31,10 @@
     ],
     "random": [
       0.766875,
-      0.764375,
       0.768125,
-      0.770625,
-      0.76625
+      0.77125,
+      0.764375,
+      0.77
     ]
   },
   "ours": {
@@ -46,10 +46,61 @@
       0.999375
     ]
   },
-  "significance": {},
+  "significance": {
+    "confidence": {
+      "diff": 0.233125,
+      "ci95": [
+        0.226875,
+        0.23875
+      ],
+      "p_value": 0.0,
+      "n": 400,
+      "their_best_budget": 1
+    },
+    "entropy": {
+      "diff": 0.233125,
+      "ci95": [
+        0.226875,
+        0.23875
+      ],
+      "p_value": 0.0,
+      "n": 400,
+      "their_best_budget": 1
+    },
+    "entropy-gated": {
+      "diff": 0.233125,
+      "ci95": [
+        0.226875,
+        0.23875
+      ],
+      "p_value": 0.0,
+      "n": 400,
+      "their_best_budget": 1
+    },
+    "margin": {
+      "diff": 0.233125,
+      "ci95": [
+        0.226875,
+        0.23875
+      ],
+      "p_value": 0.0,
+      "n": 400,
+      "their_best_budget": 1
+    },
+    "random": {
+      "diff": 0.22875,
+      "ci95": [
+        0.221875,
+        0.235625
+      ],
+      "p_value": 0.0,
+      "n": 400,
+      "their_best_budget": 4
+    }
+  },
   "summary": {
     "best_inference_1pass": 0.766875,
-    "best_inference_any_budget": 0.770625,
+    "best_inference_any_budget": 0.77125,
     "ours_1pass": 1.0
   }
 }

figures/beat_d16.json

@@ -33,8 +33,8 @@
       0.25,
       0.25,
       0.25,
-      0.249375,
-      0.25
+      0.25,
+      0.249375
     ]
   },
   "ours": {
@@ -46,7 +46,58 @@
       0.749375
     ]
   },
-  "significance": {},
+  "significance": {
+    "confidence": {
+      "diff": 0.5,
+      "ci95": [
+        0.5,
+        0.5
+      ],
+      "p_value": 0.0,
+      "n": 400,
+      "their_best_budget": 1
+    },
+    "entropy": {
+      "diff": 0.5,
+      "ci95": [
+        0.5,
+        0.5
+      ],
+      "p_value": 0.0,
+      "n": 400,
+      "their_best_budget": 1
+    },
+    "entropy-gated": {
+      "diff": 0.5,
+      "ci95": [
+        0.5,
+        0.5
+      ],
+      "p_value": 0.0,
+      "n": 400,
+      "their_best_budget": 1
+    },
+    "margin": {
+      "diff": 0.5,
+      "ci95": [
+        0.5,
+        0.5
+      ],
+      "p_value": 0.0,
+      "n": 400,
+      "their_best_budget": 1
+    },
+    "random": {
+      "diff": 0.5,
+      "ci95": [
+        0.5,
+        0.5
+      ],
+      "p_value": 0.0,
+      "n": 400,
+      "their_best_budget": 1
+    }
+  },
   "summary": {
     "best_inference_1pass": 0.25,
     "best_inference_any_budget": 0.25,

figures/summary.md

@@ -23,19 +23,28 @@ Answers are unique but only ~10 characters with shallow, local dependencies. One
 | english | 95.3 | 95.2 | -0.1 |
 | finnish | 50.9 | 55.8 | +4.9 |
 | finnish | 48.6 | 56.6 | +8.0 |
+| finnish | 48.3 | 53.5 | +5.3 |
+| finnish | 50.6 | 55.6 | +4.9 |
 | finnish | 50.9 | 55.8 | +4.9 |
 | finnish | 52.9 | 57.9 | +4.9 |
+| finnish | 50.3 | 57.0 | +6.7 |
+| finnish | 53.6 | 60.9 | +7.3 |
 | finnish | 48.6 | 56.6 | +8.0 |
 | finnish | 54.3 | 61.7 | +7.4 |
 | georgian | 94.3 | 94.1 | -0.2 |
 | georgian | 95.4 | 95.3 | -0.1 |
+| georgian | 94.8 | 94.5 | -0.3 |
+| georgian | 93.9 | 93.8 | -0.1 |
 | georgian | 94.3 | 94.1 | -0.2 |
 | georgian | 93.8 | 94.0 | +0.1 |
+| georgian | 94.4 | 94.9 | +0.5 |
+| georgian | 94.1 | 93.8 | -0.3 |
 | georgian | 95.4 | 95.3 | -0.1 |
 | georgian | 93.9 | 93.9 | +0.0 |
 | german | 78.9 | 79.3 | +0.4 |
 | german | 75.6 | 79.5 | +3.9 |
 | german | 78.6 | 78.9 | +0.3 |
+| german | 77.9 | 78.5 | +0.7 |
 | german | 78.9 | 79.3 | +0.4 |
 | german | 77.9 | 78.0 | +0.1 |
 | german | 79.4 | 81.0 | +1.7 |
@@ -45,22 +54,34 @@ Answers are unique but only ~10 characters with shallow, local dependencies. One
 | german | 77.2 | 78.3 | +1.0 |
 | navajo | 29.5 | 33.8 | +4.3 |
 | navajo | 31.4 | 40.2 | +8.9 |
+| navajo | 33.7 | 39.0 | +5.2 |
+| navajo | 24.2 | 30.8 | +6.6 |
 | navajo | 29.5 | 33.8 | +4.3 |
 | navajo | 24.3 | 29.0 | +4.8 |
+| navajo | 31.1 | 39.3 | +8.2 |
+| navajo | 26.3 | 34.0 | +7.7 |
 | navajo | 31.4 | 40.2 | +8.9 |
 | navajo | 24.6 | 31.7 | +7.1 |
 | russian | 72.7 | 72.0 | -0.7 |
 | russian | 69.1 | 71.7 | +2.6 |
+| russian | 73.5 | 73.0 | -0.5 |
+| russian | 74.2 | 74.5 | +0.4 |
 | russian | 72.7 | 72.0 | -0.7 |
 | russian | 71.9 | 72.0 | +0.1 |
+| russian | 73.1 | 73.3 | +0.3 |
+| russian | 76.3 | 76.2 | -0.1 |
 | russian | 69.1 | 71.7 | +2.6 |
 | russian | 74.1 | 75.9 | +1.8 |
 | spanish | 84.9 | 84.7 | -0.2 |
 | spanish | 83.9 | 84.1 | +0.1 |
 | turkish | 80.2 | 81.2 | +1.0 |
 | turkish | 77.5 | 82.2 | +4.7 |
+| turkish | 77.3 | 78.9 | +1.6 |
+| turkish | 83.1 | 83.9 | +0.8 |
 | turkish | 80.2 | 81.2 | +1.0 |
 | turkish | 84.5 | 85.1 | +0.7 |
+| turkish | 77.0 | 80.9 | +3.9 |
+| turkish | 80.4 | 83.8 | +3.4 |
 | turkish | 77.5 | 82.2 | +4.7 |
 | turkish | 79.9 | 82.2 | +2.3 |
 | turkish | 76.4 | 81.8 | +5.4 |
@@ -95,28 +116,61 @@ The account in THEORY.md predicts minimum depth growing as log2(n), since the ca
 | digits | 2L | 3L | 4L | 6L | 8L | 12L | log2(n) | min depth >90% |
 |---|---|---|---|---|---|---|---|---|
 | **4** | 100 | 100 | 100 | 100 | 100 | 100 | 2.0 | 2 |
-| **8** | 99 | 100 | 100 | 100 | 100 | – | 3.0 | 2 |
-| **12** | 48 | 100 | 100 | – | – | – | 3.6 | 3 |
+| **8** | 99 | 100 | 100 | 100 | 100 | 100 | 3.0 | 2 |
+| **12** | 48 | 100 | 100 | 100 | – | – | 3.6 | 3 |
+| **16** | 0 | 50 | – | – | – | – | 4.0 | – |
 
 ## Table 7 — Which component carries the gain (inflection)
 
 | language | mdlm | matched | distill | full | (gap 1→32) |
 |---|---|---|---|---|---|
-| finnish | 51.4 | – | – | 51.9 | +7.7 / – / – / +4.9 |
-| georgian | 94.6 | – | – | 94.1 | -0.0 / – / – / -0.0 |
-| german | 76.0 | 77.9 | 78.6 | 78.4 | +3.2 / +1.4 / +0.3 / +0.2 |
-| navajo | 28.0 | – | – | 26.9 | +8.0 / – / – / +4.5 |
-| russian | 71.6 | – | – | 72.3 | +2.2 / – / – / -0.3 |
-| turkish | 78.7 | – | – | 82.3 | +3.5 / – / – / +0.8 |
-
-## Table 9 — Did the baseline fail to parallelise, or fail to learn?
-
-A 20-digit answer occupies 21 slots, so the standard 16-pass grid is not a sequential decode. Re-decoded at one token per pass, the two explanations separate.
-
-| digits | mode | @1 pass | fully sequential | reading |
-|---|---|---|---|---|
-| 20 | full | 99.8 | 85.7 | learned it and parallelises |
-| 20 | mdlm | 0.0 | 0.0 | never learned the task |
-| 24 | full | 33.7 | 33.3 | learned it and parallelises |
-| 24 | mdlm | 0.0 | 0.0 | never learned the task |
-
+| finnish | 51.4 | 52.0 | 49.4 | 51.9 | +7.7 / +7.0 / +5.1 / +4.9 |
+| georgian | 94.6 | 94.3 | 94.3 | 94.1 | -0.0 / +0.1 / -0.2 / -0.0 |
+| german | 76.0 | 77.9 | 78.2 | 78.4 | +3.2 / +1.4 / +0.5 / +0.2 |
+| navajo | 28.0 | 28.7 | 29.0 | 26.9 | +8.0 / +8.0 / +5.9 / +4.5 |
+| russian | 71.6 | 74.7 | 73.9 | 72.3 | +2.2 / +0.1 / -0.1 / -0.3 |
+| turkish | 78.7 | 78.7 | 80.2 | 82.3 | +3.5 / +3.7 / +1.2 / +0.8 |
+
+## Table 8 — text8: quality against compute
+
+Generative perplexity under a from-scratch autoregressive character evaluator, against the number of function evaluations actually used. Entropy and distinct-4-gram rate are reported beside it because generative perplexity alone is gamed by degenerate repetition; the real-text reference row is the target, not zero.
+
+Real text8 reference — ppl 2.86, entropy 2.855, distinct-4 0.177
+
+| training | decoding | NFE | gen ppl | entropy | distinct-4 | valid BPC |
+|---|---|---|---|---|---|---|
+| mdlm | conf_0.5 | 234.5 | 32.99 | 2.871 | 0.360 | 1.7225 |
+| mdlm | conf_0.7 | 248.5 | 16.99 | 2.866 | 0.295 | 1.7225 |
+| mdlm | conf_0.9 | 252.8 | 9.78 | 2.848 | 0.245 | 1.7225 |
+| mdlm | conf_0.95 | 254.0 | 9.08 | 2.856 | 0.238 | 1.7225 |
+| mdlm | conf_0.99 | 255.5 | 8.74 | 2.851 | 0.236 | 1.7225 |
+| mdlm | entbudget_0.05 | 256.0 | 9.47 | 2.854 | 0.241 | 1.7225 |
+| mdlm | entbudget_0.1 | 255.5 | 8.79 | 2.861 | 0.241 | 1.7225 |
+| mdlm | entbudget_0.25 | 255.0 | 8.93 | 2.858 | 0.239 | 1.7225 |
+| mdlm | entbudget_0.5 | 253.2 | 9.39 | 2.858 | 0.243 | 1.7225 |
+| mdlm | entbudget_1.0 | 248.2 | 10.39 | 2.857 | 0.248 | 1.7225 |
+| mdlm | entbudget_2.0 | 245.0 | 15.44 | 2.861 | 0.279 | 1.7225 |
+| mdlm | entbudget_4.0 | 223.2 | 51.18 | 2.882 | 0.401 | 1.7225 |
+| mdlm | entbudget_8.0 | 96.5 | 111.68 | 2.888 | 0.520 | 1.7225 |
+| mdlm | fixedK_1 | 1.0 | 646.96 | 2.860 | 0.630 | 1.7225 |
+| mdlm | fixedK_128 | 128.0 | 44.33 | 2.867 | 0.410 | 1.7225 |
+| mdlm | fixedK_16 | 16.0 | 126.50 | 2.878 | 0.532 | 1.7225 |
+| mdlm | fixedK_2 | 2.0 | 310.58 | 2.890 | 0.625 | 1.7225 |
+| mdlm | fixedK_256 | 256.0 | 8.98 | 2.854 | 0.241 | 1.7225 |
+| mdlm | fixedK_32 | 32.0 | 95.60 | 2.875 | 0.497 | 1.7225 |
+| mdlm | fixedK_4 | 4.0 | 155.18 | 2.881 | 0.550 | 1.7225 |
+| mdlm | fixedK_64 | 64.0 | 86.83 | 2.882 | 0.490 | 1.7225 |
+| mdlm | fixedK_8 | 8.0 | 121.66 | 2.879 | 0.527 | 1.7225 |
+| matched | conf_0.5 | 237.5 | 32.44 | 2.873 | 0.366 | 1.6946 |
+| matched | conf_0.7 | 242.0 | 14.86 | 2.854 | 0.282 | 1.6946 |
+| matched | conf_0.9 | 249.2 | 9.67 | 2.856 | 0.248 | 1.6946 |
+| matched | conf_0.95 | 251.2 | 8.65 | 2.855 | 0.241 | 1.6946 |
+| matched | conf_0.99 | 254.8 | 8.34 | 2.853 | 0.236 | 1.6946 |
+| matched | entbudget_0.05 | 256.0 | 8.39 | 2.857 | 0.241 | 1.6946 |
+| matched | entbudget_0.1 | 256.0 | 8.50 | 2.855 | 0.238 | 1.6946 |
+| matched | entbudget_0.25 | 255.0 | 8.72 | 2.857 | 0.243 | 1.6946 |
+| matched | entbudget_0.5 | 253.2 | 9.00 | 2.863 | 0.247 | 1.6946 |
+| matched | entbudget_1.0 | 251.5 | 10.02 | 2.861 | 0.255 | 1.6946 |
+| matched | entbudget_2.0 | 247.2 | 14.98 | 2.862 | 0.284 | 1.6946 |
+| matched | entbudget_4.0 | 235.2 | 47.92 | 2.885 | 0.403 | 1.6946 |
+| matched