AI & Machine Learning

Springer LNCS

Format papers for Springer Lecture Notes in Computer Science (LNCS) and related proceedings series (LNAI, LNBI, CCIS) and Springer Nature journals using the llncs class or Springer Nature's sn-jnl template, covering page limits, abstract and keywords, splncs04 references, ORCID, running heads, camera-ready packages and the consent-to-publish form. Use when writing for conferences published in LNCS (e.g. ECCV, MICCAI, ESWC, many workshops), preparing an LNCS camera-ready, or targeting Springer Nature journals.

Publisher / source

KalarisLabs/research-agent-skills (found on the CSV list)

Upstream record

KalarisLabs/research-agent-skills

Version

Version 2

Published

2026-11-02

Publication review

Approved for publication · recorded passed scan 2026-11-02

Content fingerprint

d0c348ae800f493f78719d40bf307233d846c1b9a20075e3c56f26cda3bf4f6e