Add WPF V141 Photon Fractal detector

[xuzhenpeng263]

Method

• Features: 60-dim language-independent statistical features
• Classifier: XGBoost
• Training: RAID-train (all domains, including adversarial attacks),
  per-domain balanced sampling (Human:AI = 1:1)
• Languages: Multilingual (no language-specific features)

Key Characteristics

• Pure statistical features, no neural network or pre-trained language model
• No word lists or lexicons required
• Supports all languages in RAID (English, Czech, German, Code)

[github-actions]

It looks like this eval run failed. Please check the workflow logs to see what went wrong, then push a new commit to your PR to rerun the eval.

[liamdugan]

@xuzhenpeng263 looks like the run failed due to the bot seeing unexpected fields in the metadata.json file. Please make sure that your metadata includes only the fields that are present in the template_metadata.json file

[xuzhenpeng263]

metadata.json

thanks

[xuzhenpeng263]

@xuzhenpeng263 looks like the run failed due to the bot seeing unexpected fields in the metadata.json file. Please make sure that your metadata includes only the fields that are present in the template_metadata.json file

Fixed! I've updated metadata.json to match the template format. Please
re-run the evaluation.

[github-actions]

Eval run succeeded! Link to run: link

Here are the results of the submission(s):

[github-actions]

Eval run succeeded! Link to run: link

Here are the results of the submission(s):

WPF V141 Photon Fractal

Release date: 2026-04-05

I've committed detailed results of this detector's performance on the test set to this PR.

On the RAID dataset as a whole (aggregated across all generation models, domains, decoding strategies, repetition penalties, and adversarial attacks), it achieved an AUROC of 97.88 and a TPR of 92.02% at FPR=5% and 82.58% at FPR=1%.
Without adversarial attacks, it achieved AUROC of 98.64 and a TPR of 94.90% at FPR=5% and 87.85% at FPR=1%.

If all looks well, a maintainer will come by soon to merge this PR and your entry/entries will appear on the leaderboard. If you need to make any changes, feel free to push new commits to this PR. Thanks for submitting to RAID!

[liamdugan]

Congrats on the strong performance @xuzhenpeng263 Let me know if you'd like to merge the results

[xuzhenpeng263]

Congrats on the strong performance @xuzhenpeng263 Let me know if you'd like to merge the results

thanks，I need

[xuzhenpeng263]

Congrats on the strong performance @xuzhenpeng263 Let me know if you'd like to merge the results

Sure, I’d like to merge the results.