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Existing visual world models often struggle to satisfy both goals:\n  VAE-based stochastic models operate in low-dimensional reconstruction latents, which can\n  limit perception performance, while deterministic predictors using strong pretrained features\n  collapse multimodal futures into a single blurry mean. In this work, we propose FlowWM, a\n  stochastic world model that performs flow matching directly within pretrained feature space\n  (e.g., DINOv3). This is challenging because pretrained features are substantially\n  high-dimensional, making standard diffusion recipes suboptimal. To address this, we\n  investigate the design choices needed for feature-space flow matching and introduce a\n  differentiable one-step projection mechanism that enables efficient training with temporal\n  consistency and task-driven objective","title":"Flow Matching in Feature Space for Stochastic World Modeling","url":"https://arxiv.org/abs/2606.29059","vendor":"arxiv_cs_ai"},"summary":"arXiv:2606.29059v1 Announce Type: cross \nAbstract: World modeling requires forecasting uncertain futures while preserving information useful for\n  downstream perception. Existing visual world models often struggle to satisfy both goals:\n  VAE-based stochastic models operate in low-dimensional reconstruction latents, which can\n  limit perception performance, while deterministic predictors using strong pretrained features\n  collapse multimodal futures into a single blurry mean. In this work, we propose FlowWM, a\n  stochastic world model that performs flow matching directly within pretrained feature space\n  (e.g., DINOv3). This is challenging because pretrained features are substantially\n  high-dimensional, making standard diffusion recipes suboptimal. To address this, we\n  investigate the design choices needed for feature-space flow matching and introduce a\n  differentiable one-step projection mechanism that enables efficient training with temporal\n  consistency and task-driven objective","title":"Flow Matching in Feature Space for Stochastic World Modeling","vendor":"arxiv_cs_ai"},"confidence":{"method":"deterministic"},"decision":"POSITIVE","issued_at":"2026-06-30T04:43:04Z","notes":"Spider vendor_press (news) news.vendor_press.v1","object":{"captured_by":"crovia.spider.vendor_press","primary_source_url":"https://arxiv.org/abs/2606.29059"},"predecessors":[],"schema":"crovia.axiom.v1","signature":"ed25519:237486f950de6b367082b68d09020dbf0505efd1b2063e54b3a9c11af6efa45fac1cb4dae8c1714c1c669d101876848cc9a8de1f9de501caf4c5354bcc1e1303","signer":"crovia.substrate","subject":{"observed_at":"2026-06-30T04:43:04Z","source_collector":"spider:vendor_press","target_id":"https://arxiv.org/abs/2606.29059"},"tsa":{"authority":"crovia.substrate.bootstrap","rfc3161_token":"{\"kind\":\"crovia.bootstrap.tsa\",\"source_jsonl\":\"/opt/crovia/spider/data/news/vendor_press_v1.jsonl\",\"source_seal_merkle_root\":\"spider_vendor_press_v1\",\"upgrade_path\":\"Sessione H \\u2014 OpenTimestamps weekly anchor\"}"},"zk_mode":"clear","zk_proof":null},"ledger":{"leaf_hash":"9b7a2713f2754f23caf59a7221e5fec9dfb31125e1f926997a3ed0c09cd6c0ae","leaf_index":264854,"ledger_path":"/opt/crovia/substrate/axiom_ledger.jsonl"},"merkle_proof":{"hash_alg":"sha256","leaf_prefix":"0x00","node_prefix":"0x01","odd_leaf_rule":"duplicate_last","path":[{"sibling":"cf1559f5300b651963be052064562d47dbe854c9023cb20ee920f252c7793423","side":"right"},{"sibling":"28e7816494d7d74019d8afa5bcfbe64e9e7395a61c06a7beede96624c483cd1e","side":"left"},{"sibling":"092dde17cde5acfaa31a854154a4fc87a5553dd8212b4915af00d554f0b1790a","side":"left"},{"sibling":"8b39e14c02af04130fa424938513700785e7d21738f82579d7e6556aeda40f1e","side":"right"},{"sibling":"d09e5cd545c7724aceb8f9cd56ac32a1350ebec6e837d965ff60f65e3d135d34","side":"left"},{"sibling":"21aeb247f596e755f92e03c02397140679f193fb3b000cc11078505b42970abc","side":"right"},{"sibling":"07528e32fda4a58ff6ab8ca2268cc78d4ff4ed66bfadde9432f593a2fb4e74e7","side":"right"},{"sibling":"86ba07f5dfcbf22e044b5aa0ecc15cd2f29de9218e54da603c4ffe753c522516","side":"left"},{"sibling":"5767f14b55df4212d25ae2f52b8f3d4abff2555c65ba62935ed6cb0a8e617b43","side":"right"},{"sibling":"1549a8883ab3267f958dc2624919e40c65c82958b8005967ed6a4da1247da0ad","side":"left"},{"sibling":"23994bf0974e5c9c7f63a61b4f0a48b0ca756a4adc34a8f85f878e774c37dfbe","side":"right"},{"sibling":"f9b4bed84fa6990c71ad2887c91bda183001f05f6b648f21d1273045a26b11fd","side":"left"},{"sibling":"173d2dc4b29ee04ea41d6d0ebc334c4bc2d46e7ee4230c94765413f24fb4bc42","side":"right"},{"sibling":"112461f7c0ec411116fb5c6c90fe95cea9d8f188b9fe08afe25a837ac02d0071","side":"right"},{"sibling":"ea9488204352c49db8f7daf05eefcd7628ecf9413830346674801a99d0654a94","side":"right"},{"sibling":"6261c13b9922cb657f10d1e5d36ec15d8771cf8766e36c61dcbffb7bed57e396","side":"right"},{"sibling":"fa19aa3faf287618b820bcfceebb366152ad521dd20ef9f51e977816663e448b","side":"right"},{"sibling":"c32f943406b62d1fc59b7f7e243492174c8e1caba8c8a2705f86c773315736e0","side":"right"},{"sibling":"1cecb7f447febd025aac272837c80de218aecc6485d2395a509b2a1f1b9c746e","side":"left"}]},"schema":"crovia.axiom_proof.v1","seal":{"first_collector_run_id":"","first_receipt_hash":"","jsonl_path":"/opt/crovia/substrate/axiom_ledger.jsonl","key_id":"430895f101d38164","last_collector_run_id":"","last_receipt_hash":"","leaf_count":265374,"merkle_root":"9636001ecab173cb6af10dc7c71eb14585daa62f9c0a6f027046f05633156891","public_key_hex":"cf742e26f75669dc673cb5c0786a1ae23ae8ca19c347317192ce40c28a7ff25c","run_id":"hourly_json_retrofit_20260630T053701Z","schema":"crovia.seal.v1","seal_family_version":"crovia-seal-family/1","seal_kind":"substrate_batch","sealed_at":"2026-06-30T05:38:03Z","sig_algorithm":"ed25519","signature":"6d4b8fd9b9da856cbb5fba7540877c6a63fa18a5ec3eaf28dc4d6d1c64921c9c0565f8c95f4b7aec0e7744fd7754844f051baf863db708cad768765b416a7b0c","signer_version":"1.1.0"},"trust_root":{"key_id":"430895f101d38164","public_key_hex":"cf742e26f75669dc673cb5c0786a1ae23ae8ca19c347317192ce40c28a7ff25c","signature_algorithm":"ed25519","url":"/registry/canon/TRUST_ROOT.md"},"verifier":{"spec":"/registry/canon/AXIOM_RECEIPT_v1.md","url":"/v/axm_c1ff23c50927f6ebfadfba8da2d421a40340f2e7d4773df3f4b9c1254a521f71"}}