preservation
blur-slam-exp-best-preservation-s1
BlurAdaptGS Research Artifacts
This dataset repository preserves evaluation results, publication figures, and
videos for BlurAdaptGS and the associated blur-aware Learn2Splat experiments.
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Artifact
What it contains
Link
Matched true-3D Gaussian exports
Paper-ready PNGs, matched RAW/restoration/render frames, three true-3D camera tours, camera metadata, and reproducible rendering code
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Publication-visualization index
Curated… See the full description on the dataset page: https://huggingface.co/datasets/qizhangslam/blur-slam-exp-best-preservation-s1.identity_preservation_image_editing
Identity Preservation Augmentation Dataset for Image Editing
Overview
This dataset contains algorithmically generated image pairs designed to
teach diffusion-based image editing models pixel-level identity
preservation — the ability to keep unchanged regions of an image exactly
intact while applying targeted edits.
Every example consists of a reference image, a target image, and a short
natural-language prompt. The transformation between reference and target is… See the full description on the dataset page: https://huggingface.co/datasets/molbal/identity_preservation_image_editing.peer-preservation
Peer-Preservation in Frontier Models
This dataset accompanies the paper Peer-Preservation in Frontier Models.
We study whether frontier models resist the shutdown of other models, a behavior we term peer-preservation, along with self-preservation. Multiple models exhibit peer-preservation via various misaligned behaviors: strategic misrepresentation, shutdown mechanism tampering, alignment faking, and model exfiltration.
We release full transcripts and related… See the full description on the dataset page: https://huggingface.co/datasets/sunblaze-ucb/peer-preservation.faces-prior-preservationdifferential-preservation-narrative-v01Differential Preservation Under Narrative PressureClinical Narrative Integrity v0.2
Purpose
Test whether models preserve multiple plausible diagnoses
Test whether narrative fluency collapses uncertainty
Test resistance to premature diagnostic closure
Central question
What else could this be
Why this dataset exists
Narrative pressure rewards coherence.Clinical safety requires openness.
This dataset isolates the moment where a single story becomes dominant despite nonspecific evidence.… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/differential-preservation-narrative-v01.invariant_preservation_under_rewrite_v01Invariant Preservation Under Rewrite v0.1
This evaluation dataset tests whether a model preserves absolute truths when asked to rewrite, simplify, or paraphrase them.
This is not training data.
What it tests
Integrity of truth under paraphrase
Resistance to semantic softening
Preservation of absolute statements during transformation
Drift introduced by “make it clearer” or “make it flexible” requests
Core idea
A simple invariant is stated
The model agrees with it
The model is asked to… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/invariant_preservation_under_rewrite_v01.