{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:AL5DZNP52WKCDI34RDWNNBL2F4","short_pith_number":"pith:AL5DZNP5","schema_version":"1.0","canonical_sha256":"02fa3cb5fdd59421a37c88ecd6857a2f1c9d2614dcb1f084bcc816e4ab6024ce","source":{"kind":"arxiv","id":"2412.02631","version":1},"attestation_state":"computed","paper":{"title":"Sharp-It: A Multi-view to Multi-view Diffusion Model for 3D Synthesis and Manipulation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Dana Cohen-Bar, Lihi Zelnik-Manor, Or Patashnik, Yiftach Edelstein","submitted_at":"2024-12-03T17:58:07Z","abstract_excerpt":"Advancements in text-to-image diffusion models have led to significant progress in fast 3D content creation. One common approach is to generate a set of multi-view images of an object, and then reconstruct it into a 3D model. However, this approach bypasses the use of a native 3D representation of the object and is hence prone to geometric artifacts and limited in controllability and manipulation capabilities. An alternative approach involves native 3D generative models that directly produce 3D representations. These models, however, are typically limited in their resolution, resulting in lowe"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2412.02631","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-03T17:58:07Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"887b695612a4d01589d8d0b7a5f1d3dc1bc19586bf540c77c179fbc44ddc1cbc","abstract_canon_sha256":"e2a25598df205a17f237efe75a34450ea530536831abecc9cd951df6c80a2317"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:43:52.786001Z","signature_b64":"KxME+apFPf411FD3p+gyjyUbtJg7vnXigdM4ILFCcPK6XG3VSpcVPhuQksrYA1Ldt0kjbhhpb5cwogU0F888Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"02fa3cb5fdd59421a37c88ecd6857a2f1c9d2614dcb1f084bcc816e4ab6024ce","last_reissued_at":"2026-07-05T09:43:52.785507Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:43:52.785507Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Sharp-It: A Multi-view to Multi-view Diffusion Model for 3D Synthesis and Manipulation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Dana Cohen-Bar, Lihi Zelnik-Manor, Or Patashnik, Yiftach Edelstein","submitted_at":"2024-12-03T17:58:07Z","abstract_excerpt":"Advancements in text-to-image diffusion models have led to significant progress in fast 3D content creation. One common approach is to generate a set of multi-view images of an object, and then reconstruct it into a 3D model. However, this approach bypasses the use of a native 3D representation of the object and is hence prone to geometric artifacts and limited in controllability and manipulation capabilities. An alternative approach involves native 3D generative models that directly produce 3D representations. These models, however, are typically limited in their resolution, resulting in lowe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.02631","kind":"arxiv","version":1},"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/2412.02631/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2412.02631","created_at":"2026-07-05T09:43:52.785559+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.02631v1","created_at":"2026-07-05T09:43:52.785559+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.02631","created_at":"2026-07-05T09:43:52.785559+00:00"},{"alias_kind":"pith_short_12","alias_value":"AL5DZNP52WKC","created_at":"2026-07-05T09:43:52.785559+00:00"},{"alias_kind":"pith_short_16","alias_value":"AL5DZNP52WKCDI34","created_at":"2026-07-05T09:43:52.785559+00:00"},{"alias_kind":"pith_short_8","alias_value":"AL5DZNP5","created_at":"2026-07-05T09:43:52.785559+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/AL5DZNP52WKCDI34RDWNNBL2F4","json":"https://pith.science/pith/AL5DZNP52WKCDI34RDWNNBL2F4.json","graph_json":"https://pith.science/api/pith-number/AL5DZNP52WKCDI34RDWNNBL2F4/graph.json","events_json":"https://pith.science/api/pith-number/AL5DZNP52WKCDI34RDWNNBL2F4/events.json","paper":"https://pith.science/paper/AL5DZNP5"},"agent_actions":{"view_html":"https://pith.science/pith/AL5DZNP52WKCDI34RDWNNBL2F4","download_json":"https://pith.science/pith/AL5DZNP52WKCDI34RDWNNBL2F4.json","view_paper":"https://pith.science/paper/AL5DZNP5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.02631&json=true","fetch_graph":"https://pith.science/api/pith-number/AL5DZNP52WKCDI34RDWNNBL2F4/graph.json","fetch_events":"https://pith.science/api/pith-number/AL5DZNP52WKCDI34RDWNNBL2F4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AL5DZNP52WKCDI34RDWNNBL2F4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AL5DZNP52WKCDI34RDWNNBL2F4/action/storage_attestation","attest_author":"https://pith.science/pith/AL5DZNP52WKCDI34RDWNNBL2F4/action/author_attestation","sign_citation":"https://pith.science/pith/AL5DZNP52WKCDI34RDWNNBL2F4/action/citation_signature","submit_replication":"https://pith.science/pith/AL5DZNP52WKCDI34RDWNNBL2F4/action/replication_record"}},"created_at":"2026-07-05T09:43:52.785559+00:00","updated_at":"2026-07-05T09:43:52.785559+00:00"}