{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:IB3TXDV4G3FIOPLFMZPEKQBOVN","short_pith_number":"pith:IB3TXDV4","canonical_record":{"source":{"id":"2507.21045","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-28T17:59:02Z","cross_cats_sorted":[],"title_canon_sha256":"5fb121b6cf7329d542e4967281c202135cb51fbb4fb26845432e21f56dc09ef3","abstract_canon_sha256":"723f56f42768ecbdc7fa00517420e513abe3e7a93a4450a21b84e142a2e05c33"},"schema_version":"1.0"},"canonical_sha256":"40773b8ebc36ca873d65665e45402eab688e050a6ae56c48ed62343fc65b69a1","source":{"kind":"arxiv","id":"2507.21045","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.21045","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"arxiv_version","alias_value":"2507.21045v2","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.21045","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"pith_short_12","alias_value":"IB3TXDV4G3FI","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"pith_short_16","alias_value":"IB3TXDV4G3FIOPLF","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"pith_short_8","alias_value":"IB3TXDV4","created_at":"2026-07-05T11:47:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:IB3TXDV4G3FIOPLFMZPEKQBOVN","target":"record","payload":{"canonical_record":{"source":{"id":"2507.21045","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-28T17:59:02Z","cross_cats_sorted":[],"title_canon_sha256":"5fb121b6cf7329d542e4967281c202135cb51fbb4fb26845432e21f56dc09ef3","abstract_canon_sha256":"723f56f42768ecbdc7fa00517420e513abe3e7a93a4450a21b84e142a2e05c33"},"schema_version":"1.0"},"canonical_sha256":"40773b8ebc36ca873d65665e45402eab688e050a6ae56c48ed62343fc65b69a1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:47:27.166688Z","signature_b64":"2YuZbn0KthMUG3nC52s1mW7/kIoWibye13HC9utETUD3mOjV9WHkSEElLG0tO2pqZPFo0ERiXERse1PMMA8GCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"40773b8ebc36ca873d65665e45402eab688e050a6ae56c48ed62343fc65b69a1","last_reissued_at":"2026-07-05T11:47:27.166199Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:47:27.166199Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.21045","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":"2026-07-05T11:47:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NbhxoGvrvbLy36cZY1Kocal73iZgZ+m8x/Ol4S8Ipis8novvzwEIen65FzTuO7qF0ANBQ5OXVdWkF3M8RE98Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T11:28:37.898203Z"},"content_sha256":"c2abc4016f830f7d0616d19e6693bf837b0ab9c0c6e31bde8b1ab26e42d947cc","schema_version":"1.0","event_id":"sha256:c2abc4016f830f7d0616d19e6693bf837b0ab9c0c6e31bde8b1ab26e42d947cc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:IB3TXDV4G3FIOPLFMZPEKQBOVN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Reconstructing 4D Spatial Intelligence: A Survey","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chengfeng Zhao, Fangzhou Hong, Jiahao Lu, Wenping Wang, Xin Li, Yuan Liu, Yukang Cao, Zhaoxi Chen, Zhisheng Huang, Zhuowen Shen, Ziwei Liu","submitted_at":"2025-07-28T17:59:02Z","abstract_excerpt":"Reconstructing 4D spatial intelligence from visual observations has long been a central yet challenging task in computer vision, with broad real-world applications. These range from entertainment domains like movies, where the focus is often on reconstructing fundamental visual elements, to embodied AI, which emphasizes interaction modeling and physical realism. Fueled by rapid advances in 3D representations and deep learning architectures, the field has evolved quickly, outpacing the scope of previous surveys. Additionally, existing surveys rarely offer a comprehensive analysis of the hierarc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.21045","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/2507.21045/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":"2026-07-05T11:47:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2Iv+wmvEAl0g9M92/sjd4ydSFo7t/lFQPCW+zXM2rwW0VCn+G8B6W/TCAP8ZRwcdQ/IKBXfRyFzZXSeDJ0W3Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T11:28:37.898735Z"},"content_sha256":"29847b2eb5eac8eaabf13603c25ecb637682607b79ff520b648a68b622056fe1","schema_version":"1.0","event_id":"sha256:29847b2eb5eac8eaabf13603c25ecb637682607b79ff520b648a68b622056fe1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IB3TXDV4G3FIOPLFMZPEKQBOVN/bundle.json","state_url":"https://pith.science/pith/IB3TXDV4G3FIOPLFMZPEKQBOVN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IB3TXDV4G3FIOPLFMZPEKQBOVN/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":"2026-08-06T11:28:37Z","links":{"resolver":"https://pith.science/pith/IB3TXDV4G3FIOPLFMZPEKQBOVN","bundle":"https://pith.science/pith/IB3TXDV4G3FIOPLFMZPEKQBOVN/bundle.json","state":"https://pith.science/pith/IB3TXDV4G3FIOPLFMZPEKQBOVN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IB3TXDV4G3FIOPLFMZPEKQBOVN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:IB3TXDV4G3FIOPLFMZPEKQBOVN","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":"723f56f42768ecbdc7fa00517420e513abe3e7a93a4450a21b84e142a2e05c33","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-28T17:59:02Z","title_canon_sha256":"5fb121b6cf7329d542e4967281c202135cb51fbb4fb26845432e21f56dc09ef3"},"schema_version":"1.0","source":{"id":"2507.21045","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.21045","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"arxiv_version","alias_value":"2507.21045v2","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.21045","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"pith_short_12","alias_value":"IB3TXDV4G3FI","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"pith_short_16","alias_value":"IB3TXDV4G3FIOPLF","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"pith_short_8","alias_value":"IB3TXDV4","created_at":"2026-07-05T11:47:27Z"}],"graph_snapshots":[{"event_id":"sha256:29847b2eb5eac8eaabf13603c25ecb637682607b79ff520b648a68b622056fe1","target":"graph","created_at":"2026-07-05T11:47:27Z","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/2507.21045/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reconstructing 4D spatial intelligence from visual observations has long been a central yet challenging task in computer vision, with broad real-world applications. These range from entertainment domains like movies, where the focus is often on reconstructing fundamental visual elements, to embodied AI, which emphasizes interaction modeling and physical realism. Fueled by rapid advances in 3D representations and deep learning architectures, the field has evolved quickly, outpacing the scope of previous surveys. Additionally, existing surveys rarely offer a comprehensive analysis of the hierarc","authors_text":"Chengfeng Zhao, Fangzhou Hong, Jiahao Lu, Wenping Wang, Xin Li, Yuan Liu, Yukang Cao, Zhaoxi Chen, Zhisheng Huang, Zhuowen Shen, Ziwei Liu","cross_cats":[],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-28T17:59:02Z","title":"Reconstructing 4D Spatial Intelligence: A Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.21045","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:c2abc4016f830f7d0616d19e6693bf837b0ab9c0c6e31bde8b1ab26e42d947cc","target":"record","created_at":"2026-07-05T11:47:27Z","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":"723f56f42768ecbdc7fa00517420e513abe3e7a93a4450a21b84e142a2e05c33","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-28T17:59:02Z","title_canon_sha256":"5fb121b6cf7329d542e4967281c202135cb51fbb4fb26845432e21f56dc09ef3"},"schema_version":"1.0","source":{"id":"2507.21045","kind":"arxiv","version":2}},"canonical_sha256":"40773b8ebc36ca873d65665e45402eab688e050a6ae56c48ed62343fc65b69a1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"40773b8ebc36ca873d65665e45402eab688e050a6ae56c48ed62343fc65b69a1","first_computed_at":"2026-07-05T11:47:27.166199Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:47:27.166199Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2YuZbn0KthMUG3nC52s1mW7/kIoWibye13HC9utETUD3mOjV9WHkSEElLG0tO2pqZPFo0ERiXERse1PMMA8GCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:47:27.166688Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.21045","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c2abc4016f830f7d0616d19e6693bf837b0ab9c0c6e31bde8b1ab26e42d947cc","sha256:29847b2eb5eac8eaabf13603c25ecb637682607b79ff520b648a68b622056fe1"],"state_sha256":"87c183e6bf0fc479aac6c5fcf9b7f1ca46d0e803dd38b9ff811d1d0680a902d0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4ZUG/Xt4pAi+qfgLTkyRp27dbPc38GPAe5fi7wY7FzoOlhSjYYGN1wyIXMYTS9sSuDiZrjwPi32tTIVTy9+dDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T11:28:37.904187Z","bundle_sha256":"20b2d6bf1d15dbda29963410bc90b81c9cf4e9ab8c4d16aa199fb6a0c262611e"}}