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Rethinking Video Autoencoders for Interactive World Models: A Causal Diffusion Representation Autoencoder

arXiv 2026 18.8 method

Read-first score

Read-first score 18.8, weighted from topical fit, citation, graph, method, reproducibility, and recency signals.

Recency 6%
100

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

Reproducibility 18%
38

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

Topical relevance 29%
17.6

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

Graph prestige 18%
5.7

PageRank-style prestige over the local citation graph built from available OpenAlex references. local_pagerank=0.0016

Citation impact 18%
0

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

Citation velocity 12%
0

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

Field roles

Frontier

Rank sensitivity

Stability: volatile; rank range: 82.

Tags