Agentic AI: Coordinating Plural Perspectives

A dated Agentic RL Daily snapshot with 8 verified primary-source signals across papers, official releases, deployment evidence, and safety or alignment findings.

EDITOR'S VIEW

Three judgments

The edition is based only on primary sources or official project releases.
Older signals remain visible as continuing observations, not as rewritten news.
Headline claims are constrained by the evidence included in this dated snapshot.

FULL EDITION

All signals in this edition

Archived / 2026-08-05

2026.08.04PapersPapers

Socially Grounded Agentic AI: Coordinating Plural Perspectives through Social Theory

As AI systems are deployed across increasingly diverse social contexts, alignment can no longer be framed as the optimization of a single, unified set of values.

Training Algorithms

arXiv ->

2026.08.04PapersPapers

CARE-Bench: Benchmarking Patient-Facing LLM Triage

Patient-facing medical LLMs and agents increasingly answer symptom questions before clinician contact, where the key safety question is what action the user should take next.

Training Algorithms

arXiv ->

2026.08.04PapersPapers

MultiGlobeQA: A Multilingual and Globally Diverse Benchmark for Geospatial Reasoning

Geospatial reasoning, i.e., computing distances, containment, and other spatial relations over real-world entities, is central to navigation and logistics, yet large language models (LLMs) struggle with the required geometric and topological computation.

Agent Capabilities

arXiv ->

2026.08.04PapersPapers

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs

This paper proposes FedCritic-MIMO, a communication-efficient serverless federated multi-agent reinforcement learning framework for AI-native resource control across independently deployable cell-level controllers in open and disaggregated 6G RANs.

Agent Capabilities

arXiv ->

2026.06.18Open SourceOpen Source

alibaba/ROLL v0.3.0

A verified open source signal preserved from the original daily snapshot. The primary source is linked for full context, while the archive keeps the original publication date and source attribution intact.

Training Algorithms

GitHub ->

2026.06.08Open SourceOpen Source

OpenRLHF/OpenRLHF Release v0.10.4

## What's Changed * fix: only pass min_lr_rate to schedulers that accept it by @matteolippi in https://github.com/OpenRLHF/OpenRLHF/pull/1238

Systems Engineering

GitHub ->

2026.06.01Open SourceOpen Source

verl-project/verl v0.8.0

## Highlights ### Training #### Megatron - Megatron-FSDP mode for the Megatron backend (#5423).

Data Loops

GitHub ->

2026.04.19Open SourceOpen Source

OpenRLHF/OpenRLHF Release v0.10.2

## What's Changed ？ - fix some bugs due to refactor cli by @xiaoxigua999 in https://github.com/OpenRLHF/OpenRLHF/commit/64c1cc4

Training Algorithms

GitHub ->