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R2M-Bench: Evaluating Revisit Memory via Relative Consistency in Interactive Video World Models

arXiv 2026 29.1 benchmark

Read-first score

Read-first score 29.1, weighted from topical fit, citation, graph, method, reproducibility, and recency signals.

Recency 7%
100

Uses a gentle age decay so recent papers surface without erasing older foundations. 2026

Reproducibility 21%
73

Screens links and visible text for paper, code, dataset, artifact, and repository signals. pdf=True; code=True; dataset=False; markers=github

Topical relevance 36%
17.6

Matches configured research keywords against title, abstract, tags, and analysis text. matched=3

Citation impact 21%
0

Uses OpenAlex-shaped citation metadata as a bibliometric attention signal, separate from paper quality. cited_by_count=0

Citation velocity 14%
0

Citation velocity estimates citations per publication-year to reduce old-paper bias. velocity=0.00

Field roles

FrontierReproducibility anchor

Rank sensitivity

Stability: volatile; rank range: 264.

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