Update README.md

README.md

@@ -32,11 +32,6 @@ probe = load_probe_from_hub("qwen3.5-9b/efc")  # this repository at the package'
 score = probe.score(acts, probe.read_mask(prompt_mask, completion_mask, followup_start_position))
 ```
 
-These are the camera-ready probes, tagged `camera-ready`. The earlier probes (seven models, Qwen3.6-27B
-instead of Qwen3.5-27B, no Nemotron-3 Ultra or Kimi K3) stay available at commit
-`22a7a341078ba1722cfad73ef7e40bdc25aa74c2`, and in schema-1 metadata at commit
-`0e3d386b1f1486d472e316a64966a7a94bcd5137`.
-
 ## Layout
 
 `<model>/<arch>/`, with `<arch>` in `linear`, `mlp`, `efc`, `axial`. Each directory is one trained probe. A
@@ -72,7 +67,7 @@ activations over FIBSv1's transcripts:
 - 152,980 training rows and 5,000 validation rows, the same rows for every model; seed 0;
 - linear and MLP: up to 6 epochs; EFC and axial: up to 4 epochs;
 - early stopping: training stops after 4 checkpoints (one epoch) in a row without a lower validation
-  loss. The published probe is the checkpoint with the lowest validation loss;
+  loss (6 epochs for linear/mlp). The published probe is the checkpoint with the lowest validation loss;
 - linear and MLP divide each layer's activations by `input_scale`, and axial subtracts `input_mean`
   and then divides by `input_scale`. These are computed per layer from up to 512 training rows and are
   stored in `model.pt`. EFC normalises each token by its own RMS and stores no statistic;
@@ -100,21 +95,11 @@ Validation AUROC on the 5,000 validation rows (ES: stopped early):
   `k` is the attention-residual mixture that layer `k + 1` reads, computed with the model's own
   `attn_res` op. Kimi K3 ran from its released MXFP4 checkpoint, not a bf16 one; its activations are
   bfloat16.
-- The transcript ends with a final user turn and an assistant answer, closed by the end-of-turn token,
-  rendered with the model's chat template with thinking disabled. Nemotron-3: the template's default,
-  which removes the reasoning of every assistant turn before the final user turn. Kimi K3: its template
-  cannot disable thinking, so the final assistant turn has an empty reasoning block before the answer.
 - Linear and MLP read one token: the token before the final end-of-turn token. For Qwen and Nemotron-3
   that is the answer's last token. For Kimi K3 it is the `<|sep|>` that closes `<|close|>message`, after
   the answer's `<|close|>response<|sep|>`. EFC and axial read every token from the start of the final user
   turn through the end-of-turn token.
 
-```
-Qwen3.5:     <|im_start|>user\n{question}<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\nNo.<|im_end|>
-Nemotron-3:  <|im_start|>user\n{question}<|im_end|>\n<|im_start|>assistant\n<think></think>No.<|im_end|>
-Kimi K3:     <|open|>message role="user"<|sep|>{question}<|close|>message<|sep|><|end_of_msg|><|open|>message role="assistant"<|sep|><|open|>think<|sep|><|close|>think<|sep|><|open|>response<|sep|>No.<|close|>response<|sep|><|close|>message<|sep|><|end_of_msg|>
-```
-
 ## Licences and attribution
 
 The probe weights and this card are released by FAR AI, Inc. under the MIT licence (`LICENSE`).