{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:OLFAK2RPMRT5ZUTUSAXF27O3WY","short_pith_number":"pith:OLFAK2RP","canonical_record":{"source":{"id":"2406.02511","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-04T17:32:52Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"da7a200ebc54a06a45c90316b7f118ed8506f218015838ddf3a01e105e1e3268","abstract_canon_sha256":"2e102dab32c37bba68cc6bdce8d803b43e149fc92accb26449011707c273fee9"},"schema_version":"1.0"},"canonical_sha256":"72ca056a2f6467dcd274902e5d7ddbb60ed1ab3ee834b89dd98f68f3652b3f9c","source":{"kind":"arxiv","id":"2406.02511","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.02511","created_at":"2026-07-05T08:27:20Z"},{"alias_kind":"arxiv_version","alias_value":"2406.02511v1","created_at":"2026-07-05T08:27:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.02511","created_at":"2026-07-05T08:27:20Z"},{"alias_kind":"pith_short_12","alias_value":"OLFAK2RPMRT5","created_at":"2026-07-05T08:27:20Z"},{"alias_kind":"pith_short_16","alias_value":"OLFAK2RPMRT5ZUTU","created_at":"2026-07-05T08:27:20Z"},{"alias_kind":"pith_short_8","alias_value":"OLFAK2RP","created_at":"2026-07-05T08:27:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:OLFAK2RPMRT5ZUTUSAXF27O3WY","target":"record","payload":{"canonical_record":{"source":{"id":"2406.02511","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-04T17:32:52Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"da7a200ebc54a06a45c90316b7f118ed8506f218015838ddf3a01e105e1e3268","abstract_canon_sha256":"2e102dab32c37bba68cc6bdce8d803b43e149fc92accb26449011707c273fee9"},"schema_version":"1.0"},"canonical_sha256":"72ca056a2f6467dcd274902e5d7ddbb60ed1ab3ee834b89dd98f68f3652b3f9c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:27:20.798697Z","signature_b64":"8adK1O2lk5EJH3NK7mtLxExGO20EXlIkjtOjQxs2r4kXqKLc6WD1SVCFvMVGNvEbd7/0zwS3M6OZwQ+QDsjHBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"72ca056a2f6467dcd274902e5d7ddbb60ed1ab3ee834b89dd98f68f3652b3f9c","last_reissued_at":"2026-07-05T08:27:20.798230Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:27:20.798230Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.02511","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":"2026-07-05T08:27:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JJ0U79Rf3rQortqIHhfAfIUo89nvuAoAfk0w+a+POVcxDcQQdOZQV3ZJV5dpkHdWKExKhNMQbefLnlH7N7h8Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T17:10:14.305023Z"},"content_sha256":"85c66e101c14054486dc81deed5992a87fcfc2c7ec44e600897a13f8f29a752a","schema_version":"1.0","event_id":"sha256:85c66e101c14054486dc81deed5992a87fcfc2c7ec44e600897a13f8f29a752a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:OLFAK2RPMRT5ZUTUSAXF27O3WY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Cong Wang, Fei Shen, Feng Luo, Jun Zhang, Kuan Tian, Qing Gu, Wei Yang, Xiao Han, Yonghang Guan, Zhiwei Jiang","submitted_at":"2024-06-04T17:32:52Z","abstract_excerpt":"In the field of portrait video generation, the use of single images to generate portrait videos has become increasingly prevalent. A common approach involves leveraging generative models to enhance adapters for controlled generation. However, control signals (e.g., text, audio, reference image, pose, depth map, etc.) can vary in strength. Among these, weaker conditions often struggle to be effective due to interference from stronger conditions, posing a challenge in balancing these conditions. In our work on portrait video generation, we identified audio signals as particularly weak, often ove"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.02511","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/2406.02511/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:27:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Wpii0MakLzfawV5dsyHh991fS56ZZ6oatrsl+PLAJStqLp5ltO5e+kwCBQSjkLWLM4qUqPSJT9NsEcZLCh9MDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T17:10:14.306019Z"},"content_sha256":"e3693025abfdc6905aac2f7aa53908a8b83a8d7683dd5b2c51776beee71efb1d","schema_version":"1.0","event_id":"sha256:e3693025abfdc6905aac2f7aa53908a8b83a8d7683dd5b2c51776beee71efb1d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OLFAK2RPMRT5ZUTUSAXF27O3WY/bundle.json","state_url":"https://pith.science/pith/OLFAK2RPMRT5ZUTUSAXF27O3WY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OLFAK2RPMRT5ZUTUSAXF27O3WY/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":"2026-08-07T17:10:14Z","links":{"resolver":"https://pith.science/pith/OLFAK2RPMRT5ZUTUSAXF27O3WY","bundle":"https://pith.science/pith/OLFAK2RPMRT5ZUTUSAXF27O3WY/bundle.json","state":"https://pith.science/pith/OLFAK2RPMRT5ZUTUSAXF27O3WY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OLFAK2RPMRT5ZUTUSAXF27O3WY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OLFAK2RPMRT5ZUTUSAXF27O3WY","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":"2e102dab32c37bba68cc6bdce8d803b43e149fc92accb26449011707c273fee9","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-04T17:32:52Z","title_canon_sha256":"da7a200ebc54a06a45c90316b7f118ed8506f218015838ddf3a01e105e1e3268"},"schema_version":"1.0","source":{"id":"2406.02511","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.02511","created_at":"2026-07-05T08:27:20Z"},{"alias_kind":"arxiv_version","alias_value":"2406.02511v1","created_at":"2026-07-05T08:27:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.02511","created_at":"2026-07-05T08:27:20Z"},{"alias_kind":"pith_short_12","alias_value":"OLFAK2RPMRT5","created_at":"2026-07-05T08:27:20Z"},{"alias_kind":"pith_short_16","alias_value":"OLFAK2RPMRT5ZUTU","created_at":"2026-07-05T08:27:20Z"},{"alias_kind":"pith_short_8","alias_value":"OLFAK2RP","created_at":"2026-07-05T08:27:20Z"}],"graph_snapshots":[{"event_id":"sha256:e3693025abfdc6905aac2f7aa53908a8b83a8d7683dd5b2c51776beee71efb1d","target":"graph","created_at":"2026-07-05T08:27:20Z","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/2406.02511/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the field of portrait video generation, the use of single images to generate portrait videos has become increasingly prevalent. A common approach involves leveraging generative models to enhance adapters for controlled generation. However, control signals (e.g., text, audio, reference image, pose, depth map, etc.) can vary in strength. Among these, weaker conditions often struggle to be effective due to interference from stronger conditions, posing a challenge in balancing these conditions. In our work on portrait video generation, we identified audio signals as particularly weak, often ove","authors_text":"Cong Wang, Fei Shen, Feng Luo, Jun Zhang, Kuan Tian, Qing Gu, Wei Yang, Xiao Han, Yonghang Guan, Zhiwei Jiang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-04T17:32:52Z","title":"V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.02511","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":"sha256:85c66e101c14054486dc81deed5992a87fcfc2c7ec44e600897a13f8f29a752a","target":"record","created_at":"2026-07-05T08:27:20Z","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":"2e102dab32c37bba68cc6bdce8d803b43e149fc92accb26449011707c273fee9","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-04T17:32:52Z","title_canon_sha256":"da7a200ebc54a06a45c90316b7f118ed8506f218015838ddf3a01e105e1e3268"},"schema_version":"1.0","source":{"id":"2406.02511","kind":"arxiv","version":1}},"canonical_sha256":"72ca056a2f6467dcd274902e5d7ddbb60ed1ab3ee834b89dd98f68f3652b3f9c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"72ca056a2f6467dcd274902e5d7ddbb60ed1ab3ee834b89dd98f68f3652b3f9c","first_computed_at":"2026-07-05T08:27:20.798230Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:27:20.798230Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8adK1O2lk5EJH3NK7mtLxExGO20EXlIkjtOjQxs2r4kXqKLc6WD1SVCFvMVGNvEbd7/0zwS3M6OZwQ+QDsjHBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:27:20.798697Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.02511","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:85c66e101c14054486dc81deed5992a87fcfc2c7ec44e600897a13f8f29a752a","sha256:e3693025abfdc6905aac2f7aa53908a8b83a8d7683dd5b2c51776beee71efb1d"],"state_sha256":"1d6bb9b671ada474bb8643a988cd3f43a6d83ed4ba58cfe07ca265723c7a06dd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jv5VMNucoBqT8dN9XYvDniPExgtYc8Ttn22vXaYk2ztDGmZZOWzdgFQiVdLFgJWqPsMXZQ0NJNZOKm4vgPClDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T17:10:14.314407Z","bundle_sha256":"358d2ce14453492aa789e69ed7c07268f68f495333dfcf64f9412bd47798997f"}}