·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Meta steals a tactic from Tesla and builds data centers in tents1h◆Apple approves Poke as the first AI agent on its Messages for Business platform1h◆Nemotron 3.5 Content Safety: Customizable Multimodal Safety for Global Enterprise AI1h◆Kevin O’Leary agrees to downsize massive Utah data center2h◆Meta rolls out a new AI creator assistant on Facebook4h◆What to expect from WWDC 2026: Siri’s highly anticipated revamp and Apple Intelligence updates4h◆Is Silicon Valley ready to put robots in people’s homes? Hello Robot is.5h◆TSMC struggles to keep up with AI demand: ‘We can only support so much’6h◆Apple touts $1.4 trillion in App Store billings and sales, 90% without a commission6h◆Elon Musk is steamrolling Wall Street to become a trillionaire6h◆How to Fine-Tune Nemotron 3.5 ASR for Your Language, Domain, or Accent7h◆Let us filter AI slop, you cowards8h◆EVA-Bench Data 2.0: 3 Domains, 121 Tools, 213 Scenarios8h◆AI leaders call for tougher protections against AI-aided bioweapons8h◆How Endava is redesigning software delivery around AI agents8h◆Task-Seeded Synthetic Q&A Generation for Nemotron Pretraining9h◆How courts are coping with a flood of AI-generated lawsuits9h◆Amazon develops a warehouse robot that workers can speak to11h◆Dreaming: Better memory for a more helpful ChatGPT11h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning16h◆Meta steals a tactic from Tesla and builds data centers in tents1h◆Apple approves Poke as the first AI agent on its Messages for Business platform1h◆Nemotron 3.5 Content Safety: Customizable Multimodal Safety for Global Enterprise AI1h◆Kevin O’Leary agrees to downsize massive Utah data center2h◆Meta rolls out a new AI creator assistant on Facebook4h◆What to expect from WWDC 2026: Siri’s highly anticipated revamp and Apple Intelligence updates4h◆Is Silicon Valley ready to put robots in people’s homes? Hello Robot is.5h◆TSMC struggles to keep up with AI demand: ‘We can only support so much’6h◆Apple touts $1.4 trillion in App Store billings and sales, 90% without a commission6h◆Elon Musk is steamrolling Wall Street to become a trillionaire6h◆How to Fine-Tune Nemotron 3.5 ASR for Your Language, Domain, or Accent7h◆Let us filter AI slop, you cowards8h◆EVA-Bench Data 2.0: 3 Domains, 121 Tools, 213 Scenarios8h◆AI leaders call for tougher protections against AI-aided bioweapons8h◆How Endava is redesigning software delivery around AI agents8h◆Task-Seeded Synthetic Q&A Generation for Nemotron Pretraining9h◆How courts are coping with a flood of AI-generated lawsuits9h◆Amazon develops a warehouse robot that workers can speak to11h◆Dreaming: Better memory for a more helpful ChatGPT11h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning16h◆
News/TraceGraph: Shared Decision Landscapes for Diagnosing and Improving Agent Trajectories
arxiv
PublishedJune 1, 2026 at 4:00 AM
—neutral

TraceGraph: Shared Decision Landscapes for Diagnosing and Improving Agent Trajectories

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

arXiv:2605.31308v1 Announce Type: new Abstract: Agent benchmarks increasingly record rich interaction trajectories, yet evaluation often reduces each rollout to a pass rate or reward score. We introduce TraceGraph, a graph-based framework that turns released multi-model agent trajectories into share

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
arxivSFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning16h
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