IndexRAG/CITATION.cff at main · Continuum-AI-Corp/IndexRAG · GitHub

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cff-version: 1.2.0
message: >-
  If you use this code or build on our findings, please cite the paper below.
title: IndexRAG
abstract: >-
  Index-time reasoning for multi-hop retrieval-augmented generation. Bridging
  facts are generated during offline indexing so that cross-document inferences
  become directly retrievable, leaving a single retrieval pass and a single LLM
  call at inference time.
type: software
authors:
  - family-names: Bao
    given-names: Zhenghua
    email: zheng.hua.b@gmail.com
    affiliation: Continuum AI
  - family-names: Shi
    given-names: Yi
    affiliation: Continuum AI
repository-code: https://github.com/Continuum-AI-Corp/IndexRAG
license: Apache-2.0
keywords:
  - retrieval-augmented-generation
  - multi-hop-qa
  - index-time-reasoning
  - dense-retrieval
  - document-representation
preferred-citation:
  type: conference-paper
  title: >-
    IndexRAG: Index-Time Reasoning for Multi-Hop Retrieval-Augmented Generation
  authors:
    - family-names: Bao
      given-names: Zhenghua
      email: zheng.hua.b@gmail.com
      affiliation: Continuum AI
    - family-names: Shi
      given-names: Yi
      affiliation: Continuum AI
  collection-title: >-
    Findings of the Association for Computational Linguistics: AACL-IJCNLP 2026
  collection-type: proceedings
  year: 2026
  url: https://arxiv.org/abs/2603.16415
  identifiers:
    - type: other
      value: arXiv:2603.16415
      description: arXiv preprint of the same work
  notes: To appear. Accepted to AACL-IJCNLP 2026, Findings.