arXiv (All)
open access
TRACE: Trajectory-robust Admission with Evidence Ordering for Efficient GUI Agents
GUI agents accumulate high-resolution screenshots as the trajectory unfolds, increasing inference latency and memory usage. Training-free visual token pruning can reduce this cost, but cache reuse introduces a fundamental constraint. Once tokens are discarded, the corresponding visual evidence canno
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Self-Evolving Multimedia Verification through Memory Consolidation of Contestation Experiences#1063386
- Learning by Creating and Justifying Transfer Frames#239451
- GROVE: Growing and Reasoning over Temporally Stratified Memory from Streaming Video Experience#424019
- Attention Calibration for Position-Fair Dense Retrieval#1123110
- AnchorGUI: Asymmetric Memory for Dual-Scale Learning in GUI Navigation#1109463
Record · ID 997191
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive