Add newly completed evaluation runs

README.md

@@ -255,6 +255,8 @@ configs:
     path: data/thicket__llama31/attacks.parquet
   - split: textseal__llama31
     path: data/textseal__llama31/attacks.parquet
+  - split: none__llama31
+    path: data/none__llama31/attacks.parquet
   - split: kgw_delta0.7__llama31
     path: data/kgw_delta0.7__llama31/attacks.parquet
   - split: thicket__gemma2
@@ -321,6 +323,8 @@ configs:
     path: data/thicket__mistral7b/documents.parquet
   - split: textseal__mistral7b
     path: data/textseal__mistral7b/documents.parquet
+  - split: none__mistral7b
+    path: data/none__mistral7b/documents.parquet
   - split: kgw_delta0.7__mistral7b
     path: data/kgw_delta0.7__mistral7b/documents.parquet
 ---
@@ -370,7 +374,7 @@ The ELI5 protocol on other generators, one `<scheme>__<model>` split each in the
 |---|---|---|---|---|---|---|---|---|
 | `thicket__llama31` | `meta-llama/Llama-3.1-8B-Instruct` | Thicket (ours): keyed token-pair circle tilt with a likelihood price; κ = 6, price γ = 2 in answers (4 / 1 inside the reasoning delimiter), top-128 candidate shortlist, 256-label circle, first token and every 512-token restart neutral | 5,000 | 200 | 500 | 300 | 1,600 | 1,400 |
 | `textseal__llama31` | `meta-llama/Llama-3.1-8B-Instruct` | TextSeal (official code), mixing α = 0.1 | 5,000 | 200 | 500 | 300 | 1,600 | 1,400 |
-| `none__llama31` | `meta-llama/Llama-3.1-8B-Instruct` | No watermark (plain sampling; the unwatermarked reference) | 5,000 | 200 | 500 | 300 | – | – |
+| `none__llama31` | `meta-llama/Llama-3.1-8B-Instruct` | No watermark (plain sampling; the unwatermarked reference) | 5,000 | 200 | 500 | 300 | 1,600 | – |
 | `kgw_delta0.7__llama31` | `meta-llama/Llama-3.1-8B-Instruct` | KGW, γ = 0.25, δ = 0.7 (perplexity cost matched to Thicket's) | 5,000 | 200 | 500 | 300 | 1,600 | 1,400 |
 | `thicket__gemma2` | `google/gemma-2-9b-it` | Thicket (ours): keyed token-pair circle tilt with a likelihood price; κ = 6, price γ = 2 in answers (4 / 1 inside the reasoning delimiter), top-128 candidate shortlist, 256-label circle, first token and every 512-token restart neutral | 5,000 | 200 | 500 | 300 | 1,600 | 1,400 |
 | `textseal__gemma2` | `google/gemma-2-9b-it` | TextSeal (official code), mixing α = 0.1 | 5,000 | 200 | 500 | 300 | 1,600 | 1,400 |
@@ -378,7 +382,7 @@ The ELI5 protocol on other generators, one `<scheme>__<model>` split each in the
 | `kgw_delta0.7__gemma2` | `google/gemma-2-9b-it` | KGW, γ = 0.25, δ = 0.7 (perplexity cost matched to Thicket's) | 5,000 | 200 | 500 | 300 | 1,600 | 1,400 |
 | `thicket__mistral7b` | `mistralai/Mistral-7B-Instruct-v0.3` | Thicket (ours): keyed token-pair circle tilt with a likelihood price; κ = 6, price γ = 2 in answers (4 / 1 inside the reasoning delimiter), top-128 candidate shortlist, 256-label circle, first token and every 512-token restart neutral | 5,000 | 200 | 500 | 300 | 1,600 | 1,400 |
 | `textseal__mistral7b` | `mistralai/Mistral-7B-Instruct-v0.3` | TextSeal (official code), mixing α = 0.1 | 5,000 | 200 | 500 | 300 | 1,600 | 1,400 |
-| `none__mistral7b` | `mistralai/Mistral-7B-Instruct-v0.3` | No watermark (plain sampling; the unwatermarked reference) | 5,000 | 200 | 500 | 300 | 1,600 | – |
+| `none__mistral7b` | `mistralai/Mistral-7B-Instruct-v0.3` | No watermark (plain sampling; the unwatermarked reference) | 5,000 | 200 | 500 | 300 | 1,600 | 1,400 |
 | `kgw_delta0.7__mistral7b` | `mistralai/Mistral-7B-Instruct-v0.3` | KGW, γ = 0.25, δ = 0.7 (perplexity cost matched to Thicket's) | 5,000 | 200 | 500 | 300 | 1,600 | 1,400 |
 
 Each scheme used one fixed key; the keys are released in [`keys.json`](keys.json) and explained in [`KEYS.md`](KEYS.md), so the detection results can be reproduced with the project's code.

data/none__llama31/attacks.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f79f81812627453560dfd0812297e193a0950da72245af29485562137cf089ed
+size 1207190

data/none__mistral7b/documents.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb05af588bdf46fb66cf9730407025a53cc116dd2f3a82dae8d00076ae047e1c
+size 14792713