{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:OIXVVVKL3YSWJ2WTM4NLU4WAN4","short_pith_number":"pith:OIXVVVKL","canonical_record":{"source":{"id":"1903.04480","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-11T17:56:34Z","cross_cats_sorted":[],"title_canon_sha256":"72adcd8b6ee62654cc6955eac250b03778294660dbfa91f222b4c105e12d4eb0","abstract_canon_sha256":"0d32f6faa4815e0f7e7af54337f6edc19cc5f09639c574963e77a3d0b838d9e9"},"schema_version":"1.0"},"canonical_sha256":"722f5ad54bde2564ead3671aba72c06f2f05a564751039b86e7e4a2f110df1cd","source":{"kind":"arxiv","id":"1903.04480","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.04480","created_at":"2026-05-17T23:51:35Z"},{"alias_kind":"arxiv_version","alias_value":"1903.04480v1","created_at":"2026-05-17T23:51:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.04480","created_at":"2026-05-17T23:51:35Z"},{"alias_kind":"pith_short_12","alias_value":"OIXVVVKL3YSW","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_16","alias_value":"OIXVVVKL3YSWJ2WT","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_8","alias_value":"OIXVVVKL","created_at":"2026-05-18T12:33:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:OIXVVVKL3YSWJ2WTM4NLU4WAN4","target":"record","payload":{"canonical_record":{"source":{"id":"1903.04480","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-11T17:56:34Z","cross_cats_sorted":[],"title_canon_sha256":"72adcd8b6ee62654cc6955eac250b03778294660dbfa91f222b4c105e12d4eb0","abstract_canon_sha256":"0d32f6faa4815e0f7e7af54337f6edc19cc5f09639c574963e77a3d0b838d9e9"},"schema_version":"1.0"},"canonical_sha256":"722f5ad54bde2564ead3671aba72c06f2f05a564751039b86e7e4a2f110df1cd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:51:35.196601Z","signature_b64":"EEgi20mREaOvXl7ESAeuTgAv3ssJEoTgiS7ElqUK4+dbk5hWm1/rAlbCSq/9ic2MFSfHdfo7ksFydKijRyhxAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"722f5ad54bde2564ead3671aba72c06f2f05a564751039b86e7e4a2f110df1cd","last_reissued_at":"2026-05-17T23:51:35.195795Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:51:35.195795Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1903.04480","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:51:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ew+uZl7p/vsj9HApIavbgZG2eTXEHzuydz5pnDw9F2/+naD8JBE7q2OYfnFVkb/T9/f2dQEku7JYhZ293WVJDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T04:02:39.824016Z"},"content_sha256":"ef384a58c0aa7e98b08064f9891ccc452ac064a1c30a1308a8a7bc6e50ce6436","schema_version":"1.0","event_id":"sha256:ef384a58c0aa7e98b08064f9891ccc452ac064a1c30a1308a8a7bc6e50ce6436"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:OIXVVVKL3YSWJ2WTM4NLU4WAN4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Video Generation from Single Semantic Label Map","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chengyu Wang, Jing Shao, Junjie Yan, Junting Pan, Lu Sheng, Xiaogang Wang, Xu Jia","submitted_at":"2019-03-11T17:56:34Z","abstract_excerpt":"This paper proposes the novel task of video generation conditioned on a SINGLE semantic label map, which provides a good balance between flexibility and quality in the generation process. Different from typical end-to-end approaches, which model both scene content and dynamics in a single step, we propose to decompose this difficult task into two sub-problems. As current image generation methods do better than video generation in terms of detail, we synthesize high quality content by only generating the first frame. Then we animate the scene based on its semantic meaning to obtain the temporal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.04480","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":""},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:51:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lp4yYZCd0I5syFD7RjePloKwwwn/hrUsC6SNwOqY3ATbAG4Qud3qddFo6+592P00lZAZtYX42YurWtsSuMaYAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T04:02:39.824669Z"},"content_sha256":"9c123b48ef14a3a6db908b9c3abf262cb7e34bc941dcbcde0608bc1200583c49","schema_version":"1.0","event_id":"sha256:9c123b48ef14a3a6db908b9c3abf262cb7e34bc941dcbcde0608bc1200583c49"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OIXVVVKL3YSWJ2WTM4NLU4WAN4/bundle.json","state_url":"https://pith.science/pith/OIXVVVKL3YSWJ2WTM4NLU4WAN4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OIXVVVKL3YSWJ2WTM4NLU4WAN4/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-25T04:02:39Z","links":{"resolver":"https://pith.science/pith/OIXVVVKL3YSWJ2WTM4NLU4WAN4","bundle":"https://pith.science/pith/OIXVVVKL3YSWJ2WTM4NLU4WAN4/bundle.json","state":"https://pith.science/pith/OIXVVVKL3YSWJ2WTM4NLU4WAN4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OIXVVVKL3YSWJ2WTM4NLU4WAN4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:OIXVVVKL3YSWJ2WTM4NLU4WAN4","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":"0d32f6faa4815e0f7e7af54337f6edc19cc5f09639c574963e77a3d0b838d9e9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-11T17:56:34Z","title_canon_sha256":"72adcd8b6ee62654cc6955eac250b03778294660dbfa91f222b4c105e12d4eb0"},"schema_version":"1.0","source":{"id":"1903.04480","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.04480","created_at":"2026-05-17T23:51:35Z"},{"alias_kind":"arxiv_version","alias_value":"1903.04480v1","created_at":"2026-05-17T23:51:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.04480","created_at":"2026-05-17T23:51:35Z"},{"alias_kind":"pith_short_12","alias_value":"OIXVVVKL3YSW","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_16","alias_value":"OIXVVVKL3YSWJ2WT","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_8","alias_value":"OIXVVVKL","created_at":"2026-05-18T12:33:24Z"}],"graph_snapshots":[{"event_id":"sha256:9c123b48ef14a3a6db908b9c3abf262cb7e34bc941dcbcde0608bc1200583c49","target":"graph","created_at":"2026-05-17T23:51:35Z","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"},"paper":{"abstract_excerpt":"This paper proposes the novel task of video generation conditioned on a SINGLE semantic label map, which provides a good balance between flexibility and quality in the generation process. Different from typical end-to-end approaches, which model both scene content and dynamics in a single step, we propose to decompose this difficult task into two sub-problems. As current image generation methods do better than video generation in terms of detail, we synthesize high quality content by only generating the first frame. Then we animate the scene based on its semantic meaning to obtain the temporal","authors_text":"Chengyu Wang, Jing Shao, Junjie Yan, Junting Pan, Lu Sheng, Xiaogang Wang, Xu Jia","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-11T17:56:34Z","title":"Video Generation from Single Semantic Label Map"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.04480","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:ef384a58c0aa7e98b08064f9891ccc452ac064a1c30a1308a8a7bc6e50ce6436","target":"record","created_at":"2026-05-17T23:51:35Z","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":"0d32f6faa4815e0f7e7af54337f6edc19cc5f09639c574963e77a3d0b838d9e9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-11T17:56:34Z","title_canon_sha256":"72adcd8b6ee62654cc6955eac250b03778294660dbfa91f222b4c105e12d4eb0"},"schema_version":"1.0","source":{"id":"1903.04480","kind":"arxiv","version":1}},"canonical_sha256":"722f5ad54bde2564ead3671aba72c06f2f05a564751039b86e7e4a2f110df1cd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"722f5ad54bde2564ead3671aba72c06f2f05a564751039b86e7e4a2f110df1cd","first_computed_at":"2026-05-17T23:51:35.195795Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:51:35.195795Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EEgi20mREaOvXl7ESAeuTgAv3ssJEoTgiS7ElqUK4+dbk5hWm1/rAlbCSq/9ic2MFSfHdfo7ksFydKijRyhxAA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:51:35.196601Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.04480","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ef384a58c0aa7e98b08064f9891ccc452ac064a1c30a1308a8a7bc6e50ce6436","sha256:9c123b48ef14a3a6db908b9c3abf262cb7e34bc941dcbcde0608bc1200583c49"],"state_sha256":"b6cea25c5bf4bcb536bd7e4a84642c93ae64172f5ec62732cc4c224094e8730b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IpLIoR/1K/IYzQv2A6tSNi7R0gkC0OjRN+fUojFlepHjKXquT0FFSlJhe5aWwty8i7As2fY/eciFoVlqtzPOBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T04:02:39.827824Z","bundle_sha256":"7a27a2603cce53e7da9d7e6edf6957cf0848fb1e717d8d521d00fc36c7a5a3f9"}}