On the public citation graph

Controlrec: Bridging the Semantic Gap between Language Model and Personalized Recommendation

0 signed · 5 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133375openalex-snapshot

LLM2Emb: A two-stage LLM-based embedding framework for long-tail sequential recommendation

inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103919openalex-snapshot

Generative recommender systems: A comprehensive survey on model, framework, and application

inferred← citeshttps://doi.org/10.1145/3678004openalex-snapshot

How Can Recommender Systems Benefit from Large Language Models: A Survey

inferred← citeshttps://doi.org/10.1145/3726871openalex-snapshot

Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis

inferred← citeshttps://doi.org/10.21203/rs.3.rs-4430993/v1openalex-snapshot

Prompting and In-Context Learning: Optimizing Prompts for Mistral Large

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.