# Model Attribution on Section 5.2 corpus 6 AIs x 3 domains (sample-level leave-one-out)

Source: [Model Attribution on Section 5.2 corpus 6 AIs x 3 domains (sample-level leave-one-out)](<https://www.sota2.com/research/sota/model-attribution-on-section-5-2-corpus-6-ais-x-3-domains-sample-level-leave-one-out>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-06-16T06:51:38.910Z

Evaluation of Model Attribution performance using a sample-level leave-one-out strategy across a corpus involving 6 AIs and 3 domains, reporting 6-way LOO accuracy and confidence intervals.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Model Attribution |
| Dataset (including any stated split) | Section 5.2 corpus 6 AIs x 3 domains (sample-level leave-one-out) |
| Metric | 6-way LOO Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 2 of 2 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [6-way LOO Accuracy](<https://www.sota2.com/research/sota/model-attribution-on-section-5-2-corpus-6-ais-x-3-domains-sample-level-leave-one-out.md?metric=6-way%20LOO%20Accuracy>): Higher is better; unit: PERCENT.

- [6-way LOO Accuracy 95% CI Lower Bound](<https://www.sota2.com/research/sota/model-attribution-on-section-5-2-corpus-6-ais-x-3-domains-sample-level-leave-one-out.md?metric=6-way%20LOO%20Accuracy%2095%25%20CI%20Lower%20Bound>): Higher is better; unit: SCALAR.

## Recorded results

| Method | 6-way LOO Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Reference-anchored (patch\_mean, ssim) | 51.3 | Not recorded | 6a30d88ed33dfb23e783cbd8 |
| PRISM-style (DINOv2 CLS, blind) | 37.3 | Not recorded | 6a30d88ed33dfb23e783cbd8 |

### Reference-anchored (patch\_mean, ssim)

6-way LOO Accuracy: 51.3. Result ID: 6a30f278fbc373592c2c8f80.

[Reporting paper](<https://www.sota2.com/research/paper/6a30d88ed33dfb23e783cbd8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a30d88ed33dfb23e783cbd8.md>)

Recorded evaluation configuration: {"Reference":"yes","Features":"patch\_mean, ssim","Evaluation protocol":"sample-level leave-one-out nearest-centroid","Resampling":"2,000-iteration cluster bootstrap"}. This record does not assert independent reproduction.

### PRISM-style (DINOv2 CLS, blind)

6-way LOO Accuracy: 37.3. Result ID: 6a30f278fbc373592c2c8f81.

[Reporting paper](<https://www.sota2.com/research/paper/6a30d88ed33dfb23e783cbd8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7b771e209131cea88a8a.md>)

Recorded evaluation configuration: {"Reference":"no","Backbone":"DINOv2 ViT-B/14 CLS","Evaluation protocol":"sample-level leave-one-out nearest-centroid","Resampling":"2,000-iteration cluster bootstrap"}. This record does not assert independent reproduction.

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