{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OMG4FNOI7AI37552PS54UZKNVX","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":"2f77960876615181e0157b3bb83eefcb2083c87fb2c494e269963c02ae2ae017","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-07-16T07:09:05Z","title_canon_sha256":"1a377b32997a5ccf2d712b33986d987a6f0392661a1bef6bde94e1b861187c52"},"schema_version":"1.0","source":{"id":"2507.11971","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.11971","created_at":"2026-07-05T11:38:12Z"},{"alias_kind":"arxiv_version","alias_value":"2507.11971v1","created_at":"2026-07-05T11:38:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.11971","created_at":"2026-07-05T11:38:12Z"},{"alias_kind":"pith_short_12","alias_value":"OMG4FNOI7AI3","created_at":"2026-07-05T11:38:12Z"},{"alias_kind":"pith_short_16","alias_value":"OMG4FNOI7AI37552","created_at":"2026-07-05T11:38:12Z"},{"alias_kind":"pith_short_8","alias_value":"OMG4FNOI","created_at":"2026-07-05T11:38:12Z"}],"graph_snapshots":[{"event_id":"sha256:37eb70ac9ff0f45cf098a0d57ac58b3be41ab4f0b0d67885a875cf87e27ce13d","target":"graph","created_at":"2026-07-05T11:38:12Z","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/2507.11971/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Current 3D representations like meshes, voxels, point clouds, and NeRF-based neural implicit fields exhibit significant limitations: they are often task-specific, lacking universal applicability across reconstruction, generation, editing, and driving. While meshes offer high precision, their dense vertex data complicates editing; NeRFs deliver excellent rendering but suffer from structural ambiguity, hindering animation and manipulation; all representations inherently struggle with the trade-off between data complexity and fidelity. To overcome these issues, we introduce a novel 3D Hierarchica","authors_text":"Bingbing Ni, Jinfan Liu, Tielong Wang, Ye Chen, Yue Shi, Yuxuan Xiong, Zhifan Zhang","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-07-16T07:09:05Z","title":"HPR3D: Hierarchical Proxy Representation for High-Fidelity 3D Reconstruction and Controllable Editing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.11971","kind":"arxiv","version":1},"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:a439dce4a09541e608cccd473681d0c508fe3e325d24dacd364268657bdb7774","target":"record","created_at":"2026-07-05T11:38:12Z","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":"2f77960876615181e0157b3bb83eefcb2083c87fb2c494e269963c02ae2ae017","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-07-16T07:09:05Z","title_canon_sha256":"1a377b32997a5ccf2d712b33986d987a6f0392661a1bef6bde94e1b861187c52"},"schema_version":"1.0","source":{"id":"2507.11971","kind":"arxiv","version":1}},"canonical_sha256":"730dc2b5c8f811bff7ba7cbbca654dadcf8209d1f3db451face139cdd7575b15","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"730dc2b5c8f811bff7ba7cbbca654dadcf8209d1f3db451face139cdd7575b15","first_computed_at":"2026-07-05T11:38:12.114458Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:38:12.114458Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z5ESOvheuqufusoSY9IZyyzREAVBexJnGgcA6ycGO39u+rmkKav3/Mq7cbYVW162NFR+SYUWUL7QkHCieb33AA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:38:12.115001Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.11971","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a439dce4a09541e608cccd473681d0c508fe3e325d24dacd364268657bdb7774","sha256:37eb70ac9ff0f45cf098a0d57ac58b3be41ab4f0b0d67885a875cf87e27ce13d"],"state_sha256":"06c1aea5fcee10c25762e841ec4ab55cb6e01092bc9c90f6645b242fe295013d"}