2026-10-04

7 arXiv categories· 96 journals· 4247 candidates — 1 worth your time· 57 without an open abstract

Headline

Zero-shot human mobility trajectory generation for data-scarce target cities

Today, together

tag shift
no tag ran above its 30-day average
on the same shoulders
no foundation work was cited by four of the day's papers counted over the 54 of this day's 58 named papers whose reference lists we have — standing on the same older work is not the same as being about the same thing
first appearance
no institution here was new to the last 114 days none of them on a paper we published in the 114 days before this issue

Two counts, not one counted twice: every row here but “on the same shoulders” counts the papers published above, and that one counts every paper this day named — those and the ones under Also published today, whose abstracts we could not read.

preprint

points of interest

Relative Transitions, Not Absolute Destinations: A Transfer-and-Ground Framework for Target-Trajectory-Free Human Mobility Generation

The researchers developed Nomad, a transfer-and-ground framework that generates individual mobility trajectories for target cities without using any local trajectory data or derived statistics during training. The model learns transition priors over semantic displacement, geographic distance, and elapsed time from source city trajectories, then grounds these transitions onto a target city's POI map using a behavior graph and an exploration-return walk. Evaluated across 10 cities and 14 transfer scenarios, the framework reduced distributional fidelity errors by approximately 15% and improved downstream utility by about 3% compared to adaptation baselines.

Why it matters — It enables realistic human mobility simulation in data-scarce cities where trajectory data is completely unavailable but basic point-of-interest maps are accessible, bypassing the need for local training data or target-city model tuning.

Also published today

These appeared today in journals we track. Their abstracts are not openly available, so we cannot summarise them.