A New Preprint Frames Product Linking as a Retrieve, Match, Escalate Workflow

A paper titled “Retrieve, Match, Escalate: Accurate and Scalable Product Linking with VLM-Distilled Cross-Encoders and Agentic VLMs” was published in 2026 as a preprint in the arXiv cs.AI Daily Feed.

The listed authors are Jian Wang, Steven Xu, Sanjyot Thete, Maryam Barouti, Tom Tang, Elaine Wu, Charu Sareen, and Kyle MacDonald.

The record identifies arXiv item 2608.25037 as the source item.

The supplied evidence is single-source bibliographic metadata; no abstract, paper body, quotation, PDF, method details, results, or effect sizes are retained.

Product linking sits close to catalog quality, marketplace matching, deduplication, and feed operations, so a workflow built around retrieval, matching, and escalation could be relevant to teams managing large or inconsistent product records.

The title separates automated linking