{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:KWPSV3JFKBAQYHJY7XIUWCM22P","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"3078b49cb03f30b16ed04c5f5538e312978d8a3096ec77da8f03367714502e6b","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-13T16:29:18Z","title_canon_sha256":"5642ccd1bd9a9a068e498880e5ef9e05d08b50d4cb03457b128efc61badd09de"},"schema_version":"1.0","source":{"id":"2406.09292","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.09292","created_at":"2026-07-05T09:27:23Z"},{"alias_kind":"arxiv_version","alias_value":"2406.09292v2","created_at":"2026-07-05T09:27:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.09292","created_at":"2026-07-05T09:27:23Z"},{"alias_kind":"pith_short_12","alias_value":"KWPSV3JFKBAQ","created_at":"2026-07-05T09:27:23Z"},{"alias_kind":"pith_short_16","alias_value":"KWPSV3JFKBAQYHJY","created_at":"2026-07-05T09:27:23Z"},{"alias_kind":"pith_short_8","alias_value":"KWPSV3JF","created_at":"2026-07-05T09:27:23Z"}],"graph_snapshots":[{"event_id":"sha256:9acdeec7314505366c606046ee473c50be305de0fa31fc9e7bda858235f83a95","target":"graph","created_at":"2026-07-05T09:27:23Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2406.09292/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We address the problem of multi-object 3D pose control in image diffusion models. Instead of conditioning on a sequence of text tokens, we propose to use a set of per-object representations, Neural Assets, to control the 3D pose of individual objects in a scene. Neural Assets are obtained by pooling visual representations of objects from a reference image, such as a frame in a video, and are trained to reconstruct the respective objects in a different image, e.g., a later frame in the video. Importantly, we encode object visuals from the reference image while conditioning on object poses from ","authors_text":"Drew A. Hudson, Igor Gilitschenski, Kelsey R. Allen, Rishabh Kabra, Sjoerd van Steenkiste, Thomas Kipf, Yulia Rubanova, Yusuf Aytar, Ziyi Wu","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-13T16:29:18Z","title":"Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.09292","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:76b8f1e2b3e58863c42c6323fc908a646f7a5c04dfb05d5f69a861e16db3878e","target":"record","created_at":"2026-07-05T09:27:23Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"3078b49cb03f30b16ed04c5f5538e312978d8a3096ec77da8f03367714502e6b","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-13T16:29:18Z","title_canon_sha256":"5642ccd1bd9a9a068e498880e5ef9e05d08b50d4cb03457b128efc61badd09de"},"schema_version":"1.0","source":{"id":"2406.09292","kind":"arxiv","version":2}},"canonical_sha256":"559f2aed2550410c1d38fdd14b099ad3eaa0fb83fca67b1c1beb3ec4228833b0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"559f2aed2550410c1d38fdd14b099ad3eaa0fb83fca67b1c1beb3ec4228833b0","first_computed_at":"2026-07-05T09:27:23.100566Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:27:23.100566Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dVW9HwqYG7iFeGwWo8EwBWjTfdTpvkgcVhSuhbEKihebA2xN9WsAQa5bCOq8xMGq6gfokdW21qwcGWfsqgodCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:27:23.101078Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.09292","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:76b8f1e2b3e58863c42c6323fc908a646f7a5c04dfb05d5f69a861e16db3878e","sha256:9acdeec7314505366c606046ee473c50be305de0fa31fc9e7bda858235f83a95"],"state_sha256":"d958dfe14f0bbf5bdff5bd7a91e6b7f75a730c53b5c84c4fa14db7e7f5c3ecf2"}