Update README and 24 associated file(s)

README.md

@@ -613,6 +613,36 @@ Decoder post-processing:
 - Decoder 5 (`gemma-4-31B-it-AWQ-4bit`): 2,666 kept / 34 trashed of 2,700; failed requests 0; runtime 2.0 h (unfilled placeholder: 31, identical to source: 3)
 - Decoder 6 (`Laguna-S-2.1-NVFP4`): 2,561 kept / 139 trashed of 2,700; failed requests 0; runtime 1.0 h (empty or too short: 3, refusal: 41, filler output: 1, unfilled placeholder: 71, task meta-commentary: 50)
 
+## Rows filtered out per encoder
+
+Decoded rows that the decoders' post-processing rejected, per encoder (summed over decoders). A rejected row may carry several reasons, so the reason columns can add up to more than `Trashed`. `Empty Encodings At Encode` counts the encoder's own failed requests (those rows were never sent to a decoder). ❗ marks the highest rejection rate, ✔️ the lowest.
+
+| Encoder | Decoded | Kept | Trashed | Trashed Rate | Empty Or Too Short | Filler Output | Identical To Source | Refusal | Task Meta-Commentary | Unfilled Placeholder | Empty Encodings At Encode |
+|---|---|---|---|---|---|---|---|---|---|---|---|
+| granite-4.2-30b-nvfp4 [0] | 2,100 | 2,017 | 83 | 0.0395 | 15 | 0 | 0 | 12 | 26 | 37 | 0 |
+| Ornith-1.5-35B-A3B-NVFP4 [1] | 2,100 | 2,023 | 77 | 0.0367 | 7 | 0 | 2 | 17 | 32 | 31 | 0 |
+| ✔️ Llama-3.3-70B-Instruct-NVFP4 [2] | 2,100 | 2,013 | 87 | 0.0414 | 11 | 0 | 0 | 15 | 29 | 38 | 0 |
+| ❗ Qwen3.8-27B-AWQ-INT4 [3] | 2,100 | 2,048 | 52 | 0.0248 | 0 | 0 | 1 | 15 | 22 | 24 | 0 |
+| Mistral-Small-4-119B-2603-NVFP4 [4] | 2,100 | 2,020 | 80 | 0.0381 | 0 | 0 | 0 | 20 | 29 | 42 | 0 |
+| gemma-4-31B-it-AWQ-4bit [5] | 2,100 | 2,043 | 57 | 0.0271 | 1 | 0 | 0 | 7 | 19 | 36 | 0 |
+| Laguna-S-2.1-NVFP4 [6] | 2,100 | 2,014 | 86 | 0.0410 | 12 | 0 | 1 | 13 | 31 | 36 | 0 |
+| claude-sonnet-5 [8] | 2,100 | 2,038 | 62 | 0.0295 | 0 | 0 | 2 | 8 | 27 | 28 | 4 |
+| gpt-5.6-terra [9] | 2,100 | 2,039 | 61 | 0.0290 | 1 | 2 | 1 | 10 | 17 | 34 | 0 |
+
+Trashed rows per encoder x decoder:
+
+| Encoder \ Decoder | Granite-4.2-30B-Nvfp4 [0] | Ornith-1.5-35B-A3B-Nvfp4 [1] | Llama-3.3-70B-Instruct-Nvfp4 [2] | Qwen3.8-27B-Awq-Int4 [3] | Mistral-Small-4-119B-2603-Nvfp4 [4] | Gemma-4-31B-It-Awq-4Bit [5] | Laguna-S-2.1-Nvfp4 [6] |
+|---|---|---|---|---|---|---|---|
+| granite-4.2-30b-nvfp4 [0] | 21 | 13 | 2 | 12 | 20 | 1 | 14 |
+| Ornith-1.5-35B-A3B-NVFP4 [1] | 27 | 6 | 4 | 4 | 11 | 7 | 18 |
+| Llama-3.3-70B-Instruct-NVFP4 [2] | 32 | 12 | 2 | 9 | 11 | 3 | 18 |
+| Qwen3.8-27B-AWQ-INT4 [3] | 21 | 3 | 3 | 4 | 6 | 4 | 11 |
+| Mistral-Small-4-119B-2603-NVFP4 [4] | 33 | 9 | 4 | 7 | 7 | 3 | 17 |
+| gemma-4-31B-it-AWQ-4bit [5] | 18 | 2 | 3 | 4 | 10 | 5 | 15 |
+| Laguna-S-2.1-NVFP4 [6] | 27 | 12 | 6 | 10 | 8 | 2 | 21 |
+| claude-sonnet-5 [8] | 22 | 10 | 1 | 8 | 7 | 4 | 10 |
+| gpt-5.6-terra [9] | 17 | 8 | 4 | 8 | 4 | 5 | 15 |
+
 ## Contents
 
 1. [EditLens score (higher = more AI-like) (`final_response_editlens_score_roberta_large`)](#editlens-score-higher-more-ai-like-final-response-editlens-score-roberta-large)