{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DZW4RHSCZYFRFHMD7HRQ65X2TJ","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":"1505b2fc166a0db4548d4d69f84013170f6bc8342413a731f295d8b5a8902cba","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-21T10:38:18Z","title_canon_sha256":"c1985bea47c3b882a8317e2face89e20661f2c6929c1032c91267325975c696d"},"schema_version":"1.0","source":{"id":"2403.14279","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.14279","created_at":"2026-07-05T08:50:10Z"},{"alias_kind":"arxiv_version","alias_value":"2403.14279v2","created_at":"2026-07-05T08:50:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.14279","created_at":"2026-07-05T08:50:10Z"},{"alias_kind":"pith_short_12","alias_value":"DZW4RHSCZYFR","created_at":"2026-07-05T08:50:10Z"},{"alias_kind":"pith_short_16","alias_value":"DZW4RHSCZYFRFHMD","created_at":"2026-07-05T08:50:10Z"},{"alias_kind":"pith_short_8","alias_value":"DZW4RHSC","created_at":"2026-07-05T08:50:10Z"}],"graph_snapshots":[{"event_id":"sha256:a22d347f131af4f53186f7dada654551a859b1d67239d8b9bfe1f52523591b4e","target":"graph","created_at":"2026-07-05T08:50:10Z","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/2403.14279/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Estimating the pose of objects through vision is essential to make robotic platforms interact with the environment. Yet, it presents many challenges, often related to the lack of flexibility and generalizability of state-of-the-art solutions. Diffusion models are a cutting-edge neural architecture transforming 2D and 3D computer vision, outlining remarkable performances in zero-shot novel-view synthesis. Such a use case is particularly intriguing for reconstructing 3D objects. However, localizing objects in unstructured environments is rather unexplored. To this end, this work presents Zero123","authors_text":"Alberto Remus, Benjamin Busam, Carlo Alberto Avizzano, Federico Tombari, Francesco Di Felice, Lionel Ott, Roland Siegwart, Stefano Gasperini","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-21T10:38:18Z","title":"Zero123-6D: Zero-shot Novel View Synthesis for RGB Category-level 6D Pose Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.14279","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":"sha256:7b5a1712e2ff301f8d04e54e3632f02439965be33442fb99be1a94535db68b5f","target":"record","created_at":"2026-07-05T08:50:10Z","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":"1505b2fc166a0db4548d4d69f84013170f6bc8342413a731f295d8b5a8902cba","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-21T10:38:18Z","title_canon_sha256":"c1985bea47c3b882a8317e2face89e20661f2c6929c1032c91267325975c696d"},"schema_version":"1.0","source":{"id":"2403.14279","kind":"arxiv","version":2}},"canonical_sha256":"1e6dc89e42ce0b129d83f9e30f76fa9a70c4d11f818fee9d3051ad66a9509f60","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1e6dc89e42ce0b129d83f9e30f76fa9a70c4d11f818fee9d3051ad66a9509f60","first_computed_at":"2026-07-05T08:50:10.335133Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:50:10.335133Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"a5CbHtIJHb1fg89lQno0UrykES41nJPFSFOxTthMApWYiHfOby2F6U1LXUVA80Bau5rz3gEkUjbTDtzQ9W6bAw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:50:10.335635Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.14279","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7b5a1712e2ff301f8d04e54e3632f02439965be33442fb99be1a94535db68b5f","sha256:a22d347f131af4f53186f7dada654551a859b1d67239d8b9bfe1f52523591b4e"],"state_sha256":"70ce5621fd9a40661cdbc1ef7229fd07c8d4b90af5a5001aedf7be5ebe755716"}