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Evidence record 17979 · automatically gathered

DCAS: Decoupling CLI Agent Scaffolding to Internalize Planning across Scaffolds

CLI-based software-engineering agents have matured rapidly, yet the open ecosystem has converged on a single training environment: trajectory datasets used to fine-tune open models are collected almost exclusively under OpenHands. Models fine-tuned on this data score well under OpenHands but degrade substantially when deployed under any non-training scaffold. Untrained base models do not show this divergence, indicating the gap is fine-tuning-induced and tied to the conventions of the training s

Record details

Published: 5 August 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 11 August 2026

source-onlyevidence status

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.

Shared topic: Agents & autonomy · Shared topic: Environment

Beyond Simply Environment Scaling: Designing Effective Environment Distributions for Multimodal Agent Learning

HuggingFace Daily Papers · 5 August 2026

Shared topic: Agents & autonomy · Shared topic: Environment

StreamArena: Toward Continuous, Interactive, and Long-Horizon Agentic Streaming Video Understanding

HuggingFace Daily Papers · 5 August 2026

Shared topic: Agents & autonomy · Shared topic: Environment

EnvACE: Internalizing Environment Dynamics via World Rehearsal for Agentic Reinforcement Learning

HuggingFace Daily Papers · 5 August 2026

Shared topic: Agents & autonomy · Shared topic: Environment

Failing Gracefully: Mitigating Impact of Inevitable Robot Failures

arXiv cs.HC · 5 August 2026

Shared topic: Agents & autonomy · Shared topic: Environment

PFEA: a VLM-based high-level natural language planning and feedback embodied agent for human-centered AI

Frontiers in Robotics and AI · 6 August 2026

Shared topic: Agents & autonomy · Shared topic: Environment

NSF-HRPT: Neural Semantic Field meets Hierarchical Risk Perception Tree for Safety-Critical Scenario Assessment

arXiv cs.AI · 5 August 2026

How to cite this record

ethics.ai (5 August 2026), “DCAS: Decoupling CLI Agent Scaffolding to Internalize Planning across Scaffolds,” evidence record 17979, https://ethics.ai/record/17979 (originally published by HuggingFace Daily Papers).

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