{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:CBGGRBFMQXTHBUUNAWE6ERXYB4","short_pith_number":"pith:CBGGRBFM","schema_version":"1.0","canonical_sha256":"104c6884ac85e670d28d0589e246f80f3cacafcb1be9d61cac37e7464dc77f96","source":{"kind":"arxiv","id":"2401.06578","version":2},"attestation_state":"computed","paper":{"title":"360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chong Mou, Jian Zhang, Qian Wang, Weiqi Li, Xinhua Cheng","submitted_at":"2024-01-12T13:52:29Z","abstract_excerpt":"Panorama video recently attracts more interest in both study and application, courtesy of its immersive experience. Due to the expensive cost of capturing 360-degree panoramic videos, generating desirable panorama videos by prompts is urgently required. Lately, the emerging text-to-video (T2V) diffusion methods demonstrate notable effectiveness in standard video generation. However, due to the significant gap in content and motion patterns between panoramic and standard videos, these methods encounter challenges in yielding satisfactory 360-degree panoramic videos. In this paper, we propose a "},"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":"2401.06578","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-12T13:52:29Z","cross_cats_sorted":[],"title_canon_sha256":"c2abb49e7d8bf9964a29b49e018514a70c84d3f2568b1eafcf62d772c4d3882d","abstract_canon_sha256":"9dfa3006387ec5a23d3d91c76d2f83cb8b7ae1b102ab82faec32dcc2af5faeba"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:17:30.235385Z","signature_b64":"t9PfUeAU2E1N8dMjQw0lYq/8gJwrWL+1InEtnTJRpPma7yx0Zi0vOFKDb2BgndHy9X1wq9XMx/hSL8P10e26Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"104c6884ac85e670d28d0589e246f80f3cacafcb1be9d61cac37e7464dc77f96","last_reissued_at":"2026-07-05T08:17:30.234950Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:17:30.234950Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chong Mou, Jian Zhang, Qian Wang, Weiqi Li, Xinhua Cheng","submitted_at":"2024-01-12T13:52:29Z","abstract_excerpt":"Panorama video recently attracts more interest in both study and application, courtesy of its immersive experience. Due to the expensive cost of capturing 360-degree panoramic videos, generating desirable panorama videos by prompts is urgently required. Lately, the emerging text-to-video (T2V) diffusion methods demonstrate notable effectiveness in standard video generation. However, due to the significant gap in content and motion patterns between panoramic and standard videos, these methods encounter challenges in yielding satisfactory 360-degree panoramic videos. In this paper, we propose a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.06578","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/2401.06578/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":"2401.06578","created_at":"2026-07-05T08:17:30.235006+00:00"},{"alias_kind":"arxiv_version","alias_value":"2401.06578v2","created_at":"2026-07-05T08:17:30.235006+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.06578","created_at":"2026-07-05T08:17:30.235006+00:00"},{"alias_kind":"pith_short_12","alias_value":"CBGGRBFMQXTH","created_at":"2026-07-05T08:17:30.235006+00:00"},{"alias_kind":"pith_short_16","alias_value":"CBGGRBFMQXTHBUUN","created_at":"2026-07-05T08:17:30.235006+00:00"},{"alias_kind":"pith_short_8","alias_value":"CBGGRBFM","created_at":"2026-07-05T08:17:30.235006+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2605.16807","citing_title":"DecoRec: Decomposed 3D Scene Reconstruction from Single-View Images via Object-Level Diffusion","ref_index":70,"is_internal_anchor":false},{"citing_arxiv_id":"2512.09112","citing_title":"GimbalDiffusion: Gravity-Aware Camera Control for Video Generation","ref_index":34,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/CBGGRBFMQXTHBUUNAWE6ERXYB4","json":"https://pith.science/pith/CBGGRBFMQXTHBUUNAWE6ERXYB4.json","graph_json":"https://pith.science/api/pith-number/CBGGRBFMQXTHBUUNAWE6ERXYB4/graph.json","events_json":"https://pith.science/api/pith-number/CBGGRBFMQXTHBUUNAWE6ERXYB4/events.json","paper":"https://pith.science/paper/CBGGRBFM"},"agent_actions":{"view_html":"https://pith.science/pith/CBGGRBFMQXTHBUUNAWE6ERXYB4","download_json":"https://pith.science/pith/CBGGRBFMQXTHBUUNAWE6ERXYB4.json","view_paper":"https://pith.science/paper/CBGGRBFM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2401.06578&json=true","fetch_graph":"https://pith.science/api/pith-number/CBGGRBFMQXTHBUUNAWE6ERXYB4/graph.json","fetch_events":"https://pith.science/api/pith-number/CBGGRBFMQXTHBUUNAWE6ERXYB4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CBGGRBFMQXTHBUUNAWE6ERXYB4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CBGGRBFMQXTHBUUNAWE6ERXYB4/action/storage_attestation","attest_author":"https://pith.science/pith/CBGGRBFMQXTHBUUNAWE6ERXYB4/action/author_attestation","sign_citation":"https://pith.science/pith/CBGGRBFMQXTHBUUNAWE6ERXYB4/action/citation_signature","submit_replication":"https://pith.science/pith/CBGGRBFMQXTHBUUNAWE6ERXYB4/action/replication_record"}},"created_at":"2026-07-05T08:17:30.235006+00:00","updated_at":"2026-07-05T08:17:30.235006+00:00"}