·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Barret Zoph is out at OpenAI again after just five months2h◆Human-AI Agent Interaction in a Business Context3h◆AI4SE and SE4AI Exploration: A Decade Looking Back and Forward3h◆Exit-and-Join Dynamics for Decentralized Coalition Formation3h◆Apparent Psychological Profiles of Large Language Models are Largely a Measurement Artifact3h◆Deontic Policies for Runtime Governance of Agentic AI Systems3h◆Hidden Anchors in Multi-Agent LLM Deliberation3h◆LLM Doesn't Know What It Doesn't Know: Detecting Epistemic Blind Spots via Cross-Model Attribution Divergence on Clinical Tabular Data3h◆Bistable by Construction: Wall-Clock-Calibrated State Monitors Have No Moment-Detection Regime at Agent Cadence3h◆Can In-Context Learning Support Intrinsic Curiosity?3h◆PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement3h◆One Probe Won't Catch Them All: Towards Targeted Deception Detection3h◆MoCA-Agent: A Market-of-Claims Code Agent for Financial and Numerical Reasoning3h◆Granularity-Regulated Adaptive Computational Efficiency for Optimal Verification in Test-Time Scaling3h◆When Does Streaming Tool Use Help? Characterizing Tool-Intent Stabilization in Streaming Retrieval-Augmented Generation3h◆ReNikud: Audio-Supervised Hebrew Grapheme-to-Phoneme Conversion3h◆Beyond the GUI Paradigm: Do Mobile Agents Need the Phone Screen?3h◆Displacement Is Not Direction: Evaluating Fidelity Metrics for Quantized LLM Deployment3h◆NEST: Narrative Event Structures in Time for Long Video Understanding3h◆Segment-Level Mandarin Chinese Speech-Based Cognitive Impairment Detection via an Autoencoder with Contrastive Learning3h◆Barret Zoph is out at OpenAI again after just five months2h◆Human-AI Agent Interaction in a Business Context3h◆AI4SE and SE4AI Exploration: A Decade Looking Back and Forward3h◆Exit-and-Join Dynamics for Decentralized Coalition Formation3h◆Apparent Psychological Profiles of Large Language Models are Largely a Measurement Artifact3h◆Deontic Policies for Runtime Governance of Agentic AI Systems3h◆Hidden Anchors in Multi-Agent LLM Deliberation3h◆LLM Doesn't Know What It Doesn't Know: Detecting Epistemic Blind Spots via Cross-Model Attribution Divergence on Clinical Tabular Data3h◆Bistable by Construction: Wall-Clock-Calibrated State Monitors Have No Moment-Detection Regime at Agent Cadence3h◆Can In-Context Learning Support Intrinsic Curiosity?3h◆PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement3h◆One Probe Won't Catch Them All: Towards Targeted Deception Detection3h◆MoCA-Agent: A Market-of-Claims Code Agent for Financial and Numerical Reasoning3h◆Granularity-Regulated Adaptive Computational Efficiency for Optimal Verification in Test-Time Scaling3h◆When Does Streaming Tool Use Help? Characterizing Tool-Intent Stabilization in Streaming Retrieval-Augmented Generation3h◆ReNikud: Audio-Supervised Hebrew Grapheme-to-Phoneme Conversion3h◆Beyond the GUI Paradigm: Do Mobile Agents Need the Phone Screen?3h◆Displacement Is Not Direction: Evaluating Fidelity Metrics for Quantized LLM Deployment3h◆NEST: Narrative Event Structures in Time for Long Video Understanding3h◆Segment-Level Mandarin Chinese Speech-Based Cognitive Impairment Detection via an Autoencoder with Contrastive Learning3h◆
News/ChronoSurv: A Clinical Pathway-Guided Graph Framework for Multimodal Survival Analysis
arxiv
PublishedJune 18, 2026 at 4:00 AM

ChronoSurv: A Clinical Pathway-Guided Graph Framework for Multimodal Survival Analysis

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

arXiv:2606.19140v1 Announce Type: new Abstract: Accurate survival prediction is essential for personalized treatment planning in head and neck cancer, yet remains challenging due to the heterogeneous and high-dimensional nature of multimodal clinical data. While deep survival models have improved pr

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

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

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
arxivHuman-AI Agent Interaction in a Business Context3harxivAI4SE and SE4AI Exploration: A Decade Looking Back and Forward3harxivExit-and-Join Dynamics for Decentralized Coalition Formation3harxivApparent Psychological Profiles of Large Language Models are Largely a Measurement Artifact3h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

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

Originally published on arxiv ↗
HomeModelsNews