{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:KWPSV3JFKBAQYHJY7XIUWCM22P","short_pith_number":"pith:KWPSV3JF","canonical_record":{"source":{"id":"2406.09292","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-13T16:29:18Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"5642ccd1bd9a9a068e498880e5ef9e05d08b50d4cb03457b128efc61badd09de","abstract_canon_sha256":"3078b49cb03f30b16ed04c5f5538e312978d8a3096ec77da8f03367714502e6b"},"schema_version":"1.0"},"canonical_sha256":"559f2aed2550410c1d38fdd14b099ad3eaa0fb83fca67b1c1beb3ec4228833b0","source":{"kind":"arxiv","id":"2406.09292","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"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:KWPSV3JFKBAQYHJY7XIUWCM22P","target":"record","payload":{"canonical_record":{"source":{"id":"2406.09292","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-13T16:29:18Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"5642ccd1bd9a9a068e498880e5ef9e05d08b50d4cb03457b128efc61badd09de","abstract_canon_sha256":"3078b49cb03f30b16ed04c5f5538e312978d8a3096ec77da8f03367714502e6b"},"schema_version":"1.0"},"canonical_sha256":"559f2aed2550410c1d38fdd14b099ad3eaa0fb83fca67b1c1beb3ec4228833b0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:27:23.101078Z","signature_b64":"dVW9HwqYG7iFeGwWo8EwBWjTfdTpvkgcVhSuhbEKihebA2xN9WsAQa5bCOq8xMGq6gfokdW21qwcGWfsqgodCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"559f2aed2550410c1d38fdd14b099ad3eaa0fb83fca67b1c1beb3ec4228833b0","last_reissued_at":"2026-07-05T09:27:23.100566Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:27:23.100566Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.09292","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:27:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UxrUptNtZFctlQdP7m22Oqsgrt0rANYt09PXhxvPqXBnlybDRqqiQ2EsjiuMgYD4DcWr+SJquBF3aQD7kHDaDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:59:43.191898Z"},"content_sha256":"76b8f1e2b3e58863c42c6323fc908a646f7a5c04dfb05d5f69a861e16db3878e","schema_version":"1.0","event_id":"sha256:76b8f1e2b3e58863c42c6323fc908a646f7a5c04dfb05d5f69a861e16db3878e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:KWPSV3JFKBAQYHJY7XIUWCM22P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Drew A. Hudson, Igor Gilitschenski, Kelsey R. Allen, Rishabh Kabra, Sjoerd van Steenkiste, Thomas Kipf, Yulia Rubanova, Yusuf Aytar, Ziyi Wu","submitted_at":"2024-06-13T16:29:18Z","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 "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.09292","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2406.09292/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:27:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SOZqPlxU9vJ/D2PO05JssgKsiy9l9bKJ9KXg85nvWo3Iib1dun+Ikx10+1nTkQyNZr99ByarcdikBMAgKMQiDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:59:43.192467Z"},"content_sha256":"9acdeec7314505366c606046ee473c50be305de0fa31fc9e7bda858235f83a95","schema_version":"1.0","event_id":"sha256:9acdeec7314505366c606046ee473c50be305de0fa31fc9e7bda858235f83a95"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KWPSV3JFKBAQYHJY7XIUWCM22P/bundle.json","state_url":"https://pith.science/pith/KWPSV3JFKBAQYHJY7XIUWCM22P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KWPSV3JFKBAQYHJY7XIUWCM22P/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-07T10:59:43Z","links":{"resolver":"https://pith.science/pith/KWPSV3JFKBAQYHJY7XIUWCM22P","bundle":"https://pith.science/pith/KWPSV3JFKBAQYHJY7XIUWCM22P/bundle.json","state":"https://pith.science/pith/KWPSV3JFKBAQYHJY7XIUWCM22P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KWPSV3JFKBAQYHJY7XIUWCM22P/bundle.json"},"state":{"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"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VWujOm8Ga5amMnZCbUYzLRxRH1mMxAZhx9GngnQYALrWof0sPRTo19AkGuYr8RLuICzt5lO+JpIhESYdHRWRCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T10:59:43.196579Z","bundle_sha256":"80e11d407e41c1ab8478ad38e2982f9ef1e622e94855920c9cbc3a40d1d0370c"}}