·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
JB Pritzker thinks AI could help us live to 100 — or threaten us like nukes59m◆A hacker broke into John Deere and SharkNinja with an army of AI agents1h◆Democrats think cracking down on AI could give them an edge3h◆AI researchers stranded Claude on a virtual desert island. It started to “play.”6h◆A Theoretical Analysis of Test-Driven Code Generation11h◆Scalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video11h◆Can Graph Learning Learn Circuits?11h◆Beyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery11h◆Trajectory-Guided Steering: Mitigating Spurious Feature Bias in Clinical Classification11h◆Sentence-Level Topic Modeling with Lexical and Contextual Evidence11h◆Referring Multi-Object Tracking with Diverse Dynamic Expressions11h◆Rarity of Singletons Matters & Supplementary Materials11h◆TANGO: RNA Topology and Geometry Co-Design11h◆Handwritten Text Recognition Lives in the High-Pixel Variance Subspace11h◆RealtimeWAM: One-Step Asynchronous World Action Models11h◆How Well Do Prior-Data Fitted Networks Amortize Bayesian Inference?11h◆R$^2$ Flow: Recursive Self-Improvement via Recursive Skill Evolution11h◆Logic-Guided Graph Denoising Diffusion Models11h◆Unit-level aggregation breaks coverage in causal foundation models11h◆Mask-Based Deep Symbolic Regression11h◆JB Pritzker thinks AI could help us live to 100 — or threaten us like nukes59m◆A hacker broke into John Deere and SharkNinja with an army of AI agents1h◆Democrats think cracking down on AI could give them an edge3h◆AI researchers stranded Claude on a virtual desert island. It started to “play.”6h◆A Theoretical Analysis of Test-Driven Code Generation11h◆Scalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video11h◆Can Graph Learning Learn Circuits?11h◆Beyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery11h◆Trajectory-Guided Steering: Mitigating Spurious Feature Bias in Clinical Classification11h◆Sentence-Level Topic Modeling with Lexical and Contextual Evidence11h◆Referring Multi-Object Tracking with Diverse Dynamic Expressions11h◆Rarity of Singletons Matters & Supplementary Materials11h◆TANGO: RNA Topology and Geometry Co-Design11h◆Handwritten Text Recognition Lives in the High-Pixel Variance Subspace11h◆RealtimeWAM: One-Step Asynchronous World Action Models11h◆How Well Do Prior-Data Fitted Networks Amortize Bayesian Inference?11h◆R$^2$ Flow: Recursive Self-Improvement via Recursive Skill Evolution11h◆Logic-Guided Graph Denoising Diffusion Models11h◆Unit-level aggregation breaks coverage in causal foundation models11h◆Mask-Based Deep Symbolic Regression11h◆
News/Marginal Alignment Does Not Guarantee Joint-Distribution Fidelity: An Official-Reference Audit of Nemotron-Personas-Korea with Cross-Locale Replication
arxiv
PublishedJune 12, 2026 at 4:00 AM
—neutral

Marginal Alignment Does Not Guarantee Joint-Distribution Fidelity: An Official-Reference Audit of Nemotron-Personas-Korea with Cross-Locale Replication

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2606.12433v1 Announce Type: cross Abstract: Synthetic persona datasets cite alignment with official demographics as a basis for trust, yet downstream users consume them as joint structures across age, sex, region, occupation, education, name, and institutional status. Marginal alignment does n

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivA Theoretical Analysis of Test-Driven Code Generation11harxivScalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video11harxivCan Graph Learning Learn Circuits?11harxivBeyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery11h
The Bubble Brief
MON · WED · FRI

Read AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews