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SRCH:23625C0D

To what extent does increasing the number of hops (2-hop vs 3-hop) in multi-hop queries on MuSiQue increase re

Submitted: 28 May 2026
Review score: 6.33/10
Verification: L2, Source-grounded claims
Quality tier: Watchlist
Verified claims: 10

Abstract

Abstract: Unlike previous studies on the Metaverse based on Second Life, the current Metaverse is based on the social value of Generation Z that online and offline selves are not different. With the technological development of deep learning-based high-precision recognition models and natural generation models, Metaverse is being strengthened with various factors, from mobile-based always-on access to connectivity with reality using virtual currency. The integration of enhanced social activities and neural-net methods requires a new definition of Metaverse suitable for the present, different from the pr

Research Question

To what extent does increasing the number of hops (2-hop vs 3-hop) in multi-hop queries on MuSiQue increase retrieval latency for dense retrievers relative to sparse retrievers, and what is the throughput trade-off (queries per second) under fixed hardware constraints?

Verification Level

Paper levelL2, Source-grounded claims
Source-grounded claims10
Claim record sourcenot publicly specified

Descriptive public verification status only; aggregate claim counts are public, but individual claim records are not exposed here.

Quality Tier

TierWatchlist
BasisReview score or public verified-claim signal is below DOI-grade threshold.

Descriptive public triage only; this tier does not alter current publication or DOI behavior.

Quality Dimensions

Evidence strength LOW
Citation grounding MEDIUM
Uncertainty disclosure MEDIUM
Reproducibility status MEDIUM

Automated triage signals derived from public fields; not human peer review or independent validation.

Correction Record

StatusCURRENT
Correction count0
Manifest contractpaper-manifest-v1.1
Correction contractcorrection-record-v1

Public corrections are additive records. Current status does not claim the synthesis is error-free.

Provenance

PublisherAssignee Research
Public provenanceL3, Claim aggregate record
Report artifactAvailable
External recordNot registered
Claim lineage10 aggregate source-grounded claims
Review methodAutomated multi-reviewer assessment
Quality guideHow to read scores, claims, manifests, and evidence links
Provenance contractsource-provenance-v1
NoteMachine-generated synthesis of existing literature. Not primary research.