Measuring the Value of World-Model Updates: A Counterfactual Utility Protocol for Continual Adaptation

arXiv 2026 19.9 method

TLDR

Introduces fork ledger protocol to measure counterfactual utility of world-model updates; continual updates lower returns on simulated control tasks, enabling trigger evaluation.

Reasoning

The paper presents a rigorous counterfactual evaluation method for world-model updates, with clear statistical results across multiple control tasks. Its main weakness is reliance solely on simulated environments and a single fixed update mechanism, limiting generalizability.

Read-first score

Read-first score 19.9, weighted from topical fit, citation, graph, method, reproducibility, and recency signals. Original total remains 15.

Recency 5%

100

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

Reproducibility 15%

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

Topical relevance 25%

21.4

Uses existing LLM keyword relevance scores normalized to 0-100. world model,world simulator,generative world model,interactive world model,video world model,world dynamics prediction,model-based reinforcement learning world model

Methodology quality 15%

Screens visible abstract and analysis fields for experiment, dataset, baseline, metric, and limitation evidence. markers=none

Graph prestige 15%

5.7

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

Citation impact 15%

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

Citation velocity 10%

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

Field roles

Frontier

Rank sensitivity

Stability: volatile; rank range: 103.

Keyword Scores

world model

model-based reinforcement learning world model

world dynamics prediction

world simulator

generative world model

interactive world model

video world model

Resources

Paper