# Latent

Source: [Latent](<https://www.sota2.com/research/dataset/latent>)

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

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.

## Benchmarks

Page 1 of 2. This is an index page, not the full collection.

- [Next index page](<https://www.sota2.com/research/dataset/latent.md?page=2>): Follow this link to discover more pages.

- [Image Generation on Imagenet-256 latent space](<https://www.sota2.com/research/sota/image-generation-on-imagenet-256-latent-space.md>): Image Generation; Imagenet-256 latent space.

- [Image Generation on LSUN-Bedroom 256 latent space](<https://www.sota2.com/research/sota/image-generation-on-lsun-bedroom-256-latent-space.md>): Image Generation; LSUN-Bedroom 256 latent space.

- [Image Classification on MNIST VAE m=32 latent space (test)](<https://www.sota2.com/research/sota/image-classification-on-mnist-vae-m-32-latent-space-test.md>): Image Classification; MNIST VAE m=32 latent space (test).

- [Image Generation on LSUN Bedroom (latent, test)](<https://www.sota2.com/research/sota/image-generation-on-lsun-bedroom-latent-test.md>): Image Generation; LSUN Bedroom latent (test).

- [Image Generation on FFHQ 512x512 latent (test)](<https://www.sota2.com/research/sota/image-generation-on-ffhq-512x512-latent-test.md>): Image Generation; FFHQ 512x512 latent (test).

- [Image Watermarking on RAR Latent Decoder](<https://www.sota2.com/research/sota/image-watermarking-on-rar-latent-decoder.md>): Image Watermarking; RAR Latent Decoder.

- [Image Generation on LSUN 256x256 latent-space](<https://www.sota2.com/research/sota/image-generation-on-lsun-256x256-latent-space.md>): Image Generation; LSUN 256x256 latent-space.

- [Causal Discovery on Synthetic 20 variables, 5 latent](<https://www.sota2.com/research/sota/causal-discovery-on-synthetic-20-variables-5-latent.md>): Causal Discovery; Synthetic 20 variables, 5 latent.

- [Hate speech classification on Latent Hate (test)](<https://www.sota2.com/research/sota/hate-speech-classification-on-latent-hate-test.md>): Hate speech classification; Latent Hate (test).

- [Image Generation on CELEBA latent dimension 64 (test)](<https://www.sota2.com/research/sota/image-generation-on-celeba-latent-dimension-64-test.md>): Image Generation; CELEBA latent dimension 64 (test).

- [Image Generation on CIFAR-10 (32x32, latent dim 32, test)](<https://www.sota2.com/research/sota/image-generation-on-cifar-10-32x32-latent-dim-32-test.md>): Image Generation; CIFAR 10 latent dimension 32 (test).

- [Image Generation on SVHN latent dimension 16 (test)](<https://www.sota2.com/research/sota/image-generation-on-svhn-latent-dimension-16-test.md>): Image Generation; SVHN latent dimension 16 (test).

- [Image Generation on MNIST latent dimension 16 (test)](<https://www.sota2.com/research/sota/image-generation-on-mnist-latent-dimension-16-test.md>): Image Generation; MNIST latent dimension 16 (test).

- [Feature Visualization on Gemma Scope Gemma 2 2B 16k-wide residual stream 486-latents SAE (train/test)](<https://www.sota2.com/research/sota/feature-visualization-on-gemma-scope-gemma-2-2b-16k-wide-residual-stream-486-latents-sae-train-test.md>): Feature Visualization; Gemma Scope Gemma 2 2B 16k-wide residual stream 486-latents SAE (train/test).

- [Neural Latents Benchmark evaluation on MC\_Maze NLB (test)](<https://www.sota2.com/research/sota/neural-latents-benchmark-evaluation-on-mc_maze-nlb-test.md>): Neural Latents Benchmark evaluation; MC\_Maze Neural Latents Benchmark (NLB) (test).

- [Reasoning-Aware Threat Detection on Reasoning-Aware Security Evaluation Latent Triggers](<https://www.sota2.com/research/sota/reasoning-aware-threat-detection-on-reasoning-aware-security-evaluation-latent-triggers.md>): Reasoning-Aware Threat Detection; Reasoning-Aware Security Evaluation Latent Triggers.

- [Latent State Recovery on Simulated Latent State Recovery Dataset (test)](<https://www.sota2.com/research/sota/latent-state-recovery-on-simulated-latent-state-recovery-dataset-test.md>): Latent state recovery; Simulated latent state recovery dataset (test).

- [Fingerprint Matching on THU Latent10K](<https://www.sota2.com/research/sota/fingerprint-matching-on-thu-latent10k.md>): Fingerprint Matching; THU Latent10K.

- [Generation scoring on Gemma Scope SAE latents](<https://www.sota2.com/research/sota/generation-scoring-on-gemma-scope-sae-latents.md>): Generation scoring; Gemma Scope SAE latents.

- [Causal Discovery on Linear non-Gaussian latent chain n = 500](<https://www.sota2.com/research/sota/causal-discovery-on-linear-non-gaussian-latent-chain-n-500.md>): Causal Discovery; Linear non-Gaussian latent chain n = 500.

- [Causal Structure Discovery on Latent-confounded chains size sweep](<https://www.sota2.com/research/sota/causal-structure-discovery-on-latent-confounded-chains-size-sweep.md>): Causal Structure Discovery; Latent-confounded chains size sweep.

- [Representation-level Safety Evaluation on LLM Latent Safety Evaluation layer-wise v1](<https://www.sota2.com/research/sota/representation-level-safety-evaluation-on-llm-latent-safety-evaluation-layer-wise-v1.md>): Representation-level Safety Evaluation; LLM Latent Safety Evaluation layer-wise v1.

- [Causal Discovery on Tigramite S6 Latent Variables](<https://www.sota2.com/research/sota/causal-discovery-on-tigramite-s6-latent-variables.md>): Causal Discovery; Tigramite S6 Latent Variables.

- [Latent Watermark Distillation on DCAE latent decoder (val)](<https://www.sota2.com/research/sota/latent-watermark-distillation-on-dcae-latent-decoder-val.md>): Latent Watermark Distillation; DCAE latent decoder (val).

- [Unconstrained ACAA1 Docking Score Minimization on ZINC250k Latent Space](<https://www.sota2.com/research/sota/unconstrained-acaa1-docking-score-minimization-on-zinc250k-latent-space.md>): Unconstrained ACAA1 Docking Score Minimization; ZINC250k Latent Space.

- [Unconstrained ESR1 Docking Score Minimization on ZINC250k Latent Space](<https://www.sota2.com/research/sota/unconstrained-esr1-docking-score-minimization-on-zinc250k-latent-space.md>): Unconstrained ESR1 Docking Score Minimization; ZINC250k Latent Space.

- [Unconstrained QED Maximization on ZINC250k Latent Space](<https://www.sota2.com/research/sota/unconstrained-qed-maximization-on-zinc250k-latent-space.md>): Unconstrained QED Maximization; ZINC250k Latent Space.

- [Unconstrained plogP Maximization on ZINC250k Latent Space](<https://www.sota2.com/research/sota/unconstrained-plogp-maximization-on-zinc250k-latent-space.md>): Unconstrained plogP Maximization; ZINC250k Latent Space.

- [Quality-diversity (QD) optimization on Latent Space Illumination Hard](<https://www.sota2.com/research/sota/quality-diversity-qd-optimization-on-latent-space-illumination-hard.md>): Quality-diversity (QD) optimization; Latent Space Illumination Hard.

- [Hate Speech Detection on Latent (Out-of-Distribution)](<https://www.sota2.com/research/sota/hate-speech-detection-on-latent-out-of-distribution.md>): Hate Speech Detection; Latent (Out-of-Distribution).

- [Diffusion Unlearning on Latent Diffusion Model t=500](<https://www.sota2.com/research/sota/diffusion-unlearning-on-latent-diffusion-model-t-500.md>): Diffusion Unlearning; Latent Diffusion Model t=500.

- [Diffusion Unlearning on Latent Diffusion Model t=250](<https://www.sota2.com/research/sota/diffusion-unlearning-on-latent-diffusion-model-t-250.md>): Diffusion Unlearning; Latent Diffusion Model t=250.

- [Image Generation on CelebA LDM 64x64x3 latent space (test)](<https://www.sota2.com/research/sota/image-generation-on-celeba-ldm-64x64x3-latent-space-test.md>): Image Generation; CelebA LDM 64x64x3 latent space (test).

- [Visual Control on DeepMind Control Suite Imagined Rewards Latent Imagination (train)](<https://www.sota2.com/research/sota/visual-control-on-deepmind-control-suite-imagined-rewards-latent-imagination-train.md>): Visual Control; DeepMind Control Suite Imagined Rewards Latent Imagination (train).

- [Faithfulness Detection on LatentAudit Mistral-7B (evaluation)](<https://www.sota2.com/research/sota/faithfulness-detection-on-latentaudit-mistral-7b-evaluation.md>): Faithfulness Detection; LatentAudit Mistral-7B (evaluation).

- [Faithfulness Detection on LatentAudit Qwen-2.5-7B (evaluation)](<https://www.sota2.com/research/sota/faithfulness-detection-on-latentaudit-qwen-2-5-7b-evaluation.md>): Faithfulness Detection; LatentAudit Qwen-2.5-7B (evaluation).

- [Faithfulness Detection on LatentAudit Llama-3-8B (evaluation set)](<https://www.sota2.com/research/sota/faithfulness-detection-on-latentaudit-llama-3-8b-evaluation-set.md>): Faithfulness Detection; LatentAudit Llama-3-8B (evaluation set).

- [Causal Discovery on Synthetic Causal Graphs p=0.5, without latent confounders](<https://www.sota2.com/research/sota/causal-discovery-on-synthetic-causal-graphs-p-0-5-without-latent-confounders.md>): Causal Discovery; Synthetic Causal Graphs p=0.5, without latent confounders.

- [Causal Discovery on Synthetic Causal Graphs p=0.25, without latent confounders](<https://www.sota2.com/research/sota/causal-discovery-on-synthetic-causal-graphs-p-0-25-without-latent-confounders.md>): Causal Discovery; Synthetic Causal Graphs p=0.25, without latent confounders.

- [Causal Discovery on Synthetic Causal Graphs p=0.1 without latent confounders](<https://www.sota2.com/research/sota/causal-discovery-on-synthetic-causal-graphs-p-0-1-without-latent-confounders.md>): Causal Discovery; Synthetic Causal Graphs p=0.1 without latent confounders.

- [Three-way hate classification on LatentHatred](<https://www.sota2.com/research/sota/three-way-hate-classification-on-latenthatred.md>): Three-way hate classification; LatentHatred.

- [Two-way hate classification on LatentHatred](<https://www.sota2.com/research/sota/two-way-hate-classification-on-latenthatred.md>): Two-way hate classification; LatentHatred.

- [Unordered structured selection on CIFAR-100 (latent-cluster subset selection)](<https://www.sota2.com/research/sota/unordered-structured-selection-on-cifar-100-latent-cluster-subset-selection.md>): Unordered structured selection; CIFAR-100 representative subset-selection benchmark (latent-cluster level).

- [Metric Robustness Evaluation on Latent space embeddings full-rank batch r=2048](<https://www.sota2.com/research/sota/metric-robustness-evaluation-on-latent-space-embeddings-full-rank-batch-r-2048.md>): Metric Robustness Evaluation; Latent space embeddings full-rank batch r=2048.

- [Watermark Resistance on Stable Diffusion Latent Forgery Attack (LFA) V2](<https://www.sota2.com/research/sota/watermark-resistance-on-stable-diffusion-latent-forgery-attack-lfa-v2.md>): Watermark Resistance against Generative Forgery Attacks; Stable Diffusion Latent Forgery Attack (LFA) V2.

- [Half Inpainting on FFHQ LDM Latent (test)](<https://www.sota2.com/research/sota/half-inpainting-on-ffhq-ldm-latent-test.md>): Half Inpainting; FFHQ LDM Latent (test).

- [Box Inpainting on FFHQ LDM Latent (test)](<https://www.sota2.com/research/sota/box-inpainting-on-ffhq-ldm-latent-test.md>): Box Inpainting; FFHQ LDM Latent (test).

- [Super Resolution (x16) on FFHQ LDM Latent (test)](<https://www.sota2.com/research/sota/super-resolution-x16-on-ffhq-ldm-latent-test.md>): Super Resolution (x16); FFHQ LDM Latent (test).

- [4x Super Resolution on FFHQ LDM Latent (test)](<https://www.sota2.com/research/sota/4x-super-resolution-on-ffhq-ldm-latent-test.md>): Super Resolution (x4); FFHQ LDM Latent (test).

- [Motion Deblurring on FFHQ LDM Latent (test)](<https://www.sota2.com/research/sota/motion-deblurring-on-ffhq-ldm-latent-test.md>): Motion Deblurring; FFHQ LDM Latent (test).

- [Gaussian Deblurring on FFHQ LDM Latent (test)](<https://www.sota2.com/research/sota/gaussian-deblurring-on-ffhq-ldm-latent-test.md>): Gaussian Deblurring; FFHQ LDM Latent (test).

- [SAE label evaluation on Goodfire SAE latents (held-out)](<https://www.sota2.com/research/sota/sae-label-evaluation-on-goodfire-sae-latents-held-out.md>): SAE label evaluation; Goodfire SAE latents (held-out).

- [Network Estimation on Latent Distance Model Source: R10 Latent(2.5); Target: R10 Latent(1.0)](<https://www.sota2.com/research/sota/network-estimation-on-latent-distance-model-source-r10-latent-2-5-target-r10-latent-1-0.md>): Network Estimation; Latent Distance Model Source: R10 Latent(2.5); Target: R10 Latent(1.0).

- [Visible Directed-Edge Recovery on Linear Non-Gaussian Latent Chain](<https://www.sota2.com/research/sota/visible-directed-edge-recovery-on-linear-non-gaussian-latent-chain.md>): Visible directed-edge recovery; Linear non-Gaussian latent chain with endpoint-confounded hidden common cause.

- [DAG Structure Learning on endpoint-confounded latent-chain scale-up](<https://www.sota2.com/research/sota/dag-structure-learning-on-endpoint-confounded-latent-chain-scale-up.md>): DAG Structure Learning; endpoint-confounded latent-chain scale-up.

- [Latent Fingerprint Generation on Latent Fingerprint Synthesis](<https://www.sota2.com/research/sota/latent-fingerprint-generation-on-latent-fingerprint-synthesis.md>): Latent Fingerprint Generation; Latent Fingerprint Synthesis.

- [High Dynamic Range Reconstruction on FFHQ LDM Latent (test)](<https://www.sota2.com/research/sota/high-dynamic-range-reconstruction-on-ffhq-ldm-latent-test.md>): High Dynamic Range Reconstruction; FFHQ LDM Latent (test).

- [Phase Retrieval on FFHQ LDM Latent (test)](<https://www.sota2.com/research/sota/phase-retrieval-on-ffhq-ldm-latent-test.md>): Phase Retrieval; FFHQ LDM Latent (test).

- [JPEG Artifact Removal (QF=2) on FFHQ LDM Latent (test)](<https://www.sota2.com/research/sota/jpeg-artifact-removal-qf-2-on-ffhq-ldm-latent-test.md>): JPEG Artifact Removal (QF=2); FFHQ LDM Latent (test).

- [Image Generation on Glow Latent Space original (test)](<https://www.sota2.com/research/sota/image-generation-on-glow-latent-space-original-test.md>): Image Generation; Glow Latent Space original (test).

- [Best-of-N Selection on Noisy-Concept-Captions Denoised Latent, iterations 21-30](<https://www.sota2.com/research/sota/best-of-n-selection-on-noisy-concept-captions-denoised-latent-iterations-21-30.md>): Best-of-N Selection; Noisy-Concept-Captions Denoised Latent, iterations 21-30.

- [Factual Consistency on Noisy-Concept-Captions Denoised Latent, iterations 21-30](<https://www.sota2.com/research/sota/factual-consistency-on-noisy-concept-captions-denoised-latent-iterations-21-30.md>): Factual Consistency; Noisy-Concept-Captions Denoised Latent, iterations 21-30.

- [Multi-robot task allocation on LatentSwarm n=240, rho=0.25, clean observation (anytime)](<https://www.sota2.com/research/sota/multi-robot-task-allocation-on-latentswarm-n-240-rho-0-25-clean-observation-anytime.md>): Multi-robot task allocation; LatentSwarm n=240, rho=0.25, clean observation (anytime).

- [Local causal structure learning on ER(50, 3) graphs with 5 latent variables (Sample Size 4000)](<https://www.sota2.com/research/sota/local-causal-structure-learning-on-er-50-3-graphs-with-5-latent-variables-sample-size-4000.md>): Local causal structure learning; ER(50, 3) graphs with 5 latent variables (Sample Size 4000).

- [Local Causal Structure Learning on ER(50, 3) graphs (Sample Size 3000)](<https://www.sota2.com/research/sota/local-causal-structure-learning-on-er-50-3-graphs-sample-size-3000.md>): Local causal structure learning; ER(50, 3) graphs with 5 latent variables (Sample Size 3000).

- [Local Causal Structure Learning on ER(50, 3) graphs with 5 latent variables (Sample Size 2000)](<https://www.sota2.com/research/sota/local-causal-structure-learning-on-er-50-3-graphs-with-5-latent-variables-sample-size-2000.md>): Local causal structure learning; ER(50, 3) graphs with 5 latent variables (Sample Size 2000).

- [Causal Discovery on Simulation 4 C-DAGs with latent variables only within clusters](<https://www.sota2.com/research/sota/causal-discovery-on-simulation-4-c-dags-with-latent-variables-only-within-clusters.md>): Causal Discovery; Simulation 4 C-DAGs with latent variables only within clusters.

- [Image Generation on ImageNet LDM 256x256 latent to 64x64x3 (test)](<https://www.sota2.com/research/sota/image-generation-on-imagenet-ldm-256x256-latent-to-64x64x3-test.md>): Image Generation; ImageNet LDM 256x256 latent to 64x64x3 (test).

- [Old-to-Young translation on FFHQ ALAE Latent Space 2K paired samples 1024x1024 (test)](<https://www.sota2.com/research/sota/old-to-young-translation-on-ffhq-alae-latent-space-2k-paired-samples-1024x1024-test.md>): Old-to-Young translation; FFHQ ALAE Latent Space 2K paired samples 1024x1024 (test).

- [Spatial Reasoning on Latent Diffusion Models reasoning evaluation set](<https://www.sota2.com/research/sota/spatial-reasoning-on-latent-diffusion-models-reasoning-evaluation-set.md>): Spatial; Latent Diffusion Models reasoning evaluation set.

- [Shape Reasoning on Latent Diffusion Models reasoning evaluation set](<https://www.sota2.com/research/sota/shape-reasoning-on-latent-diffusion-models-reasoning-evaluation-set.md>): Shape; Latent Diffusion Models reasoning evaluation set.

- [Count on Latent Diffusion Models reasoning evaluation set](<https://www.sota2.com/research/sota/count-on-latent-diffusion-models-reasoning-evaluation-set.md>): Count; Latent Diffusion Models reasoning evaluation set.

- [Color evaluation on Latent Diffusion Models reasoning evaluation set](<https://www.sota2.com/research/sota/color-evaluation-on-latent-diffusion-models-reasoning-evaluation-set.md>): Color; Latent Diffusion Models reasoning evaluation set.

- [Attribute Binding on Latent Diffusion Models reasoning evaluation set](<https://www.sota2.com/research/sota/attribute-binding-on-latent-diffusion-models-reasoning-evaluation-set.md>): Attribute binding; Latent Diffusion Models reasoning evaluation set.

- [Zero-shot Transition Prediction on 3D Point Clouds Latent + Translation SE(3) synth](<https://www.sota2.com/research/sota/zero-shot-transition-prediction-on-3d-point-clouds-latent-plus-translation-se-3-synth.md>): Zero-shot Transition Prediction; 3D Point Clouds Latent + Translation SE(3) synth.

- [Zero-shot Transition Prediction on 3D Point Clouds Latent SO(3), synth](<https://www.sota2.com/research/sota/zero-shot-transition-prediction-on-3d-point-clouds-latent-so-3-synth.md>): Zero-shot Transition Prediction; 3D Point Clouds Latent SO(3), synth.

- [Latent Causal Mechanism Inference on BLOOM LLM latent mechanism](<https://www.sota2.com/research/sota/latent-causal-mechanism-inference-on-bloom-llm-latent-mechanism.md>): Latent Causal Mechanism Inference; BLOOM LLM latent mechanism.

- [Latent Causal Mechanism Inference on GPT-Neo LLM latent mechanism](<https://www.sota2.com/research/sota/latent-causal-mechanism-inference-on-gpt-neo-llm-latent-mechanism.md>): Latent Causal Mechanism Inference; GPT-Neo LLM latent mechanism.

- [Latent Causal Mechanism Inference on Phi-3-Mini LLM latent mechanism](<https://www.sota2.com/research/sota/latent-causal-mechanism-inference-on-phi-3-mini-llm-latent-mechanism.md>): Latent Causal Mechanism Inference; Phi-3-Mini LLM latent mechanism.

- [Latent Causal Mechanism Inference on TinyLlama LLM latent mechanism](<https://www.sota2.com/research/sota/latent-causal-mechanism-inference-on-tinyllama-llm-latent-mechanism.md>): Latent Causal Mechanism Inference; TinyLlama LLM latent mechanism.
