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SurveyX

external · status: active · focus: literature · discipline: general · started: 2025

Project page: https://github.com/IAAR-Shanghai/SurveyX

Source: projects/landscape/surveyx.yml

Positioning

An academic survey-automation system (arXiv:2502.14776) that generates domain-specific surveys from a paper title plus retrieval keywords. Open-source repository ships only the offline processing path; full-version capabilities (real-time online search, multimodal parsing) are gated behind the hosted surveyx.cn service.

Distinctive contribution

Two-tier deployment — an open offline pipeline plus a commercial online service — making the field's tension between research reproducibility and product gating explicit. The offline release is usable as a methodological baseline.

Evaluation scores

Dimension Score (0–3) Note
Lifecycle coverage 1 Three stages around literature synthesis and drafting.
Autonomy level 3 Runs from title + keywords to survey; offline version is autonomous given the reference set.
Architectural transparency 2 arXiv:2502.14776 documents the method; offline code is public; online crawler + paper-DB system are closed.
Inputs supported 1 Open version: user-uploaded Markdown references only. Full feature set requires the hosted service.
Outputs / reproducibility 1 Open path is reproducible given user-supplied references; hosted-service runs are not.
Internal evaluation 2 ArXiv paper reports comparative evaluation; the hosted-service variant has not been independently audited.
Openness 1 No declared license in repository metadata; substantial functionality reserved for the commercial service.
Maturity / traction 2 970 stars; active development; live hosted service at surveyx.cn.
Cross-family policy 0 No cross-family policy in open release.
Runtime assurance 1 Offline path has reference-grounding only; full crawler + paper-DB closed.
Cross-platform portability 1 Offline (markdown) + hosted-service (closed) paths.

Scored on 2026-05-18. See the evaluation rubric.

Tags

Pipeline stages: literature-discovery literature-synthesis paper-drafting

Architectural features: multi-agent rag-knowledge-base iterative-loop

Inputs: survey-title keywords reference-markdown

Outputs: long-form-survey citations

Data sources: user-provided-markdown

Knowledge sources: user-provided

Limitations

  • Open-source release deliberately omits the most capability-relevant components (crawler, paper DB, multimodal parser).
  • No declared open-source license.
  • Output quality on the open path depends entirely on the references the user supplies.

Papers describing this project

  • SurveyX: Academic Survey Automation via Large Language Models — Liang, X., Yang, J., Wang, Y., Tang, C., Zheng, Z., Song, S., et al. (2025). arXiv. arXiv:2502.14776