{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:ICXSB2VYKGZQH2SHVF7ABPPSWN","short_pith_number":"pith:ICXSB2VY","schema_version":"1.0","canonical_sha256":"40af20eab851b303ea47a97e00bdf2b37ee44cdcf2f9f5d01974efc157278cce","source":{"kind":"arxiv","id":"2404.14329","version":2},"attestation_state":"computed","paper":{"title":"X-Ray: A Sequential 3D Representation For Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Gim Hee Lee, Tao Hu, Wenhang Ge, Yuyang Zhao","submitted_at":"2024-04-22T16:40:11Z","abstract_excerpt":"We introduce X-Ray, a novel 3D sequential representation inspired by the penetrability of x-ray scans. X-Ray transforms a 3D object into a series of surface frames at different layers, making it suitable for generating 3D models from images. Our method utilizes ray casting from the camera center to capture geometric and textured details, including depth, normal, and color, across all intersected surfaces. This process efficiently condenses the whole 3D object into a multi-frame video format, motivating the utilize of a network architecture similar to those in video diffusion models. This desig"},"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":"2404.14329","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-22T16:40:11Z","cross_cats_sorted":[],"title_canon_sha256":"cd41f9c76250e73e75dbb0390d460dd193d5b3a3c61c03e17fc6b0c9cea3be27","abstract_canon_sha256":"f101d28920e82be73c72aaeec29a0f11509121d4fc908323f1dbcd0836ec0ddb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:26:23.646836Z","signature_b64":"KlR9Q5QDXN/JsbESHJme0cs1qa25YtxNOcwxmbsmJOKA/LNCShbnXdnBhw0mozMVMxprehOLxQRLgu869cOlAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"40af20eab851b303ea47a97e00bdf2b37ee44cdcf2f9f5d01974efc157278cce","last_reissued_at":"2026-07-05T08:26:23.646372Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:26:23.646372Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"X-Ray: A Sequential 3D Representation For Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Gim Hee Lee, Tao Hu, Wenhang Ge, Yuyang Zhao","submitted_at":"2024-04-22T16:40:11Z","abstract_excerpt":"We introduce X-Ray, a novel 3D sequential representation inspired by the penetrability of x-ray scans. X-Ray transforms a 3D object into a series of surface frames at different layers, making it suitable for generating 3D models from images. Our method utilizes ray casting from the camera center to capture geometric and textured details, including depth, normal, and color, across all intersected surfaces. This process efficiently condenses the whole 3D object into a multi-frame video format, motivating the utilize of a network architecture similar to those in video diffusion models. This desig"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.14329","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/2404.14329/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":"2404.14329","created_at":"2026-07-05T08:26:23.646427+00:00"},{"alias_kind":"arxiv_version","alias_value":"2404.14329v2","created_at":"2026-07-05T08:26:23.646427+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.14329","created_at":"2026-07-05T08:26:23.646427+00:00"},{"alias_kind":"pith_short_12","alias_value":"ICXSB2VYKGZQ","created_at":"2026-07-05T08:26:23.646427+00:00"},{"alias_kind":"pith_short_16","alias_value":"ICXSB2VYKGZQH2SH","created_at":"2026-07-05T08:26:23.646427+00:00"},{"alias_kind":"pith_short_8","alias_value":"ICXSB2VY","created_at":"2026-07-05T08:26:23.646427+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.13652","citing_title":"World Tracing: Generative Pixel-Aligned Geometry Beyond the Visible","ref_index":17,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ICXSB2VYKGZQH2SHVF7ABPPSWN","json":"https://pith.science/pith/ICXSB2VYKGZQH2SHVF7ABPPSWN.json","graph_json":"https://pith.science/api/pith-number/ICXSB2VYKGZQH2SHVF7ABPPSWN/graph.json","events_json":"https://pith.science/api/pith-number/ICXSB2VYKGZQH2SHVF7ABPPSWN/events.json","paper":"https://pith.science/paper/ICXSB2VY"},"agent_actions":{"view_html":"https://pith.science/pith/ICXSB2VYKGZQH2SHVF7ABPPSWN","download_json":"https://pith.science/pith/ICXSB2VYKGZQH2SHVF7ABPPSWN.json","view_paper":"https://pith.science/paper/ICXSB2VY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2404.14329&json=true","fetch_graph":"https://pith.science/api/pith-number/ICXSB2VYKGZQH2SHVF7ABPPSWN/graph.json","fetch_events":"https://pith.science/api/pith-number/ICXSB2VYKGZQH2SHVF7ABPPSWN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ICXSB2VYKGZQH2SHVF7ABPPSWN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ICXSB2VYKGZQH2SHVF7ABPPSWN/action/storage_attestation","attest_author":"https://pith.science/pith/ICXSB2VYKGZQH2SHVF7ABPPSWN/action/author_attestation","sign_citation":"https://pith.science/pith/ICXSB2VYKGZQH2SHVF7ABPPSWN/action/citation_signature","submit_replication":"https://pith.science/pith/ICXSB2VYKGZQH2SHVF7ABPPSWN/action/replication_record"}},"created_at":"2026-07-05T08:26:23.646427+00:00","updated_at":"2026-07-05T08:26:23.646427+00:00"}