{"id":3857,"date":"2026-08-17T04:00:00","date_gmt":"2026-08-17T04:00:00","guid":{"rendered":"https:\/\/futurenews24.com\/index.php\/2026\/08\/17\/2606-28455\/"},"modified":"2026-08-17T08:59:04","modified_gmt":"2026-08-17T08:59:04","slug":"2606-28455","status":"publish","type":"post","link":"https:\/\/futurenews24.com\/index.php\/2026\/08\/17\/2606-28455\/","title":{"rendered":"[2606.28455] Occasion-Conditioned Diagnostics of Kinematic, Contact, and Object-Permanence Fields in Passive Object-State World Fashions"},"content":{"rendered":"<p><br \/>\n<\/p>\n<div id=\"content-inner\">\n<div id=\"abs\">\n<div class=\"dateline\">\n  [Submitted on 26 Jun 2026 (v1), last revised 14 Aug 2026 (this version, v2)]<\/div>\n<p>View a PDF of the paper titled Occasion-Conditioned Diagnostics of Kinematic, Contact, and Object-Permanence Fields in Passive Object-State World Fashions, by Yang Liu and Yuming Chen<\/p>\n<p>    View PDF<\/p>\n<blockquote class=\"abstract mathjax\"><p>\n            <span class=\"descriptor\">Summary:<\/span>World fashions can predict future bodily states, however prediction accuracy alone doesn&#8217;t clarify how bodily data is organized and used inside their latent dynamics. We introduce a managed diagnostic protocol for learning event-conditioned latent bodily construction in passive object-state world fashions. The protocol checks whether or not hidden representations encode event-regime data, whether or not occasion contexts reweight non-exclusive bodily discipline readouts, and whether or not field-aligned representational elements have practical penalties for prediction. Utilizing a balanced controlled-generator dataset with free-motion, collision, and occlusion occasions, we consider recurrent, attention-based, and latent state-space transition fashions underneath a fixed-horizon forecasting setup. The fashions be taught helpful predictive dynamics and their hidden states assist dependable event-regime readout. Occasion contexts systematically reweight kinematic, contact, and object-permanence discipline readouts: free movement is kinematic-dominant, collision combines kinematic and get in touch with construction, and occlusion combines motion-related and object-permanence construction. Time-aligned and directional-consistency analyses additional present phase-related shifts in discipline emphasis. Lastly, fixed-horizon projection causal discipline impact (CFE) reveals that suppressing field-aligned instructions can degrade event-relevant prediction, with strongest proof for contact-aligned construction in collision-contact home windows and extra certified proof for object-permanence-aligned construction in hard-occlusion hidden home windows. These outcomes assist event-conditioned group and fixed-horizon practical sensitivity of latent bodily fields, whereas not implying specific bodily modules, remoted causal circuits, or context-invariant sliding-window generalization.\n    <\/p><\/blockquote><\/div>\n<\/div>\n<div>\n<h2>Submission historical past<\/h2>\n<p> From: Yang Liu [view email]                  [v1]<br \/>\n        Fri, 26 Jun 2026 10:11:59 UTC (982 KB)<br \/>\n    [v2]<br \/>\n        Fri, 14 Aug 2026 01:38:03 UTC (971 KB)\n<\/p><\/div>\n<p><br \/>\n<br \/><a href=\"https:\/\/arxiv.org\/abs\/2606.28455\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>[Submitted on 26 Jun 2026 (v1), last revised 14 Aug 2026 (this version, v2)] View a PDF of the paper titled Occasion-Conditioned Diagnostics of Kinematic, Contact, and Object-Permanence Fields in Passive Object-State World Fashions, by Yang Liu and Yuming Chen View PDF Summary:World fashions can predict future bodily states, however prediction accuracy alone doesn&#8217;t clarify [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":3859,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"http:\/\/arxiv.org\/static\/browse\/0.3.4\/images\/arxiv-logo-fb.png","fifu_image_alt":"","jnews-multi-image_gallery":[],"jnews_single_post":[],"jnews_primary_category":[],"jnews_override_bookmark_settings":[],"jnews_social_meta":[],"jnews_override_counter":[],"footnotes":""},"categories":[2],"tags":[4179,4177,4176,854,4178,293,4180,4182,4181,135],"class_list":["post-3857","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-research-breakthroughs","tag-contact","tag-diagnostics","tag-eventconditioned","tag-fields","tag-kinematic","tag-models","tag-objectpermanence","tag-objectstate","tag-passive","tag-world"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - 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