From Hallucination to Grounding: Diagnosing Visual Spatial Intelligence via CRISP
Current VLM evaluations often conflate language priors with genuine spatial reasoning. To address this, we introduce CRISP, a novel structural-diagnostic evaluation paradigm that assesses visual spatial intelligence through consistency, the alignment between implicit perception and explicit reasoning. Unlike traditional black-box QA, CRISP utilizes metric 3D Scene Graphs and an oracle intervention protocol to decouple latent reasoning capabilities from perceptual bottlenecks. This granular diagn
Record details
Published: 25 June 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Healthcare
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Phoneme-Level Mispronunciation Screening in Polish-Speaking Children with an Explainable Assistant
arXiv · 23 June 2026
MMed-Bench-IR: A Heterogeneous Benchmark for Multilingual Medical Information Retrieval
arXiv · 23 June 2026
Skin-Deep: A Geometric Diagnostic for Alignment Fragility in Large Language Model Representations
arXiv · 21 June 2026
SonoCLIP: Mask-Guided Region-Aware Vision-Language Pretraining for Fetal Ultrasound Analysis
arXiv · 28 June 2026
Cohort-Anchored Foundation Models for Electronic Health Records: From Risk Scores to Auditable Peer Cohorts
arXiv · 20 June 2026
Resolving superposition in AI for interpretability and cross-modal alignment in patient-neuronal images
arXiv · 30 June 2026
How to cite this record
ethics.ai (25 June 2026), “From Hallucination to Grounding: Diagnosing Visual Spatial Intelligence via CRISP,” evidence record 588, https://ethics.ai/record/588 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.