{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ISNPX6M5R4XLFYQGWKDFGG6Y22","short_pith_number":"pith:ISNPX6M5","canonical_record":{"source":{"id":"2503.17934","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-23T04:27:46Z","cross_cats_sorted":[],"title_canon_sha256":"f5c820152ac287897095c655ad625c4fe1f11f17c6569165d23124e42931d38b","abstract_canon_sha256":"5df030c054064d38e829124e349bfd4d7b31286491c6bce445c0019894458e56"},"schema_version":"1.0"},"canonical_sha256":"449afbf99d8f2eb2e206b286531bd8d6b941b8233c6808a2b1fd4b1a94234f77","source":{"kind":"arxiv","id":"2503.17934","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.17934","created_at":"2026-07-05T10:37:58Z"},{"alias_kind":"arxiv_version","alias_value":"2503.17934v1","created_at":"2026-07-05T10:37:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.17934","created_at":"2026-07-05T10:37:58Z"},{"alias_kind":"pith_short_12","alias_value":"ISNPX6M5R4XL","created_at":"2026-07-05T10:37:58Z"},{"alias_kind":"pith_short_16","alias_value":"ISNPX6M5R4XLFYQG","created_at":"2026-07-05T10:37:58Z"},{"alias_kind":"pith_short_8","alias_value":"ISNPX6M5","created_at":"2026-07-05T10:37:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ISNPX6M5R4XLFYQGWKDFGG6Y22","target":"record","payload":{"canonical_record":{"source":{"id":"2503.17934","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-23T04:27:46Z","cross_cats_sorted":[],"title_canon_sha256":"f5c820152ac287897095c655ad625c4fe1f11f17c6569165d23124e42931d38b","abstract_canon_sha256":"5df030c054064d38e829124e349bfd4d7b31286491c6bce445c0019894458e56"},"schema_version":"1.0"},"canonical_sha256":"449afbf99d8f2eb2e206b286531bd8d6b941b8233c6808a2b1fd4b1a94234f77","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:37:58.983522Z","signature_b64":"TKDnxx5T4qRJG45+uzgYX2S1+uQsaBqMaMiBbYa7hgH4Y6oEWSmt65Qfj+DXUvWZh4Mu27X3lElvB5OqpEiPBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"449afbf99d8f2eb2e206b286531bd8d6b941b8233c6808a2b1fd4b1a94234f77","last_reissued_at":"2026-07-05T10:37:58.982930Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:37:58.982930Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.17934","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":"2026-07-05T10:37:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Oxw/x2E032IM+pE7uvV8GI/V+EmTxvFznP9RlEG/9SLb8lEugMyl7kpYw8L/5HZxopij/L4RkC4DjSmsIIp+DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T20:10:35.615428Z"},"content_sha256":"590e7b2e83fdbd73a5659ecd5bc987da363ca00719c55f4d9023eeec6d1d5299","schema_version":"1.0","event_id":"sha256:590e7b2e83fdbd73a5659ecd5bc987da363ca00719c55f4d9023eeec6d1d5299"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ISNPX6M5R4XLFYQGWKDFGG6Y22","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TransAnimate: Taming Layer Diffusion to Generate RGBA Video","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Xuewei Chen, Yiren Song, Zhimin Chen","submitted_at":"2025-03-23T04:27:46Z","abstract_excerpt":"Text-to-video generative models have made remarkable advancements in recent years. However, generating RGBA videos with alpha channels for transparency and visual effects remains a significant challenge due to the scarcity of suitable datasets and the complexity of adapting existing models for this purpose. To address these limitations, we present TransAnimate, an innovative framework that integrates RGBA image generation techniques with video generation modules, enabling the creation of dynamic and transparent videos. TransAnimate efficiently leverages pre-trained text-to-transparent image mo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.17934","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/2503.17934/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":"2026-07-05T10:37:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+MlWb5HmC2ngfHynoaJaU3bK3SPTt6xygp87Mt1C9OmluQyqpUFi5hJT7k4nhXmCO7lixU5sAxV3+M61Uc/zCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T20:10:35.619953Z"},"content_sha256":"2879b2011ccb0d15e84d5ca00e045e08c1e4e609e44f825bca696cc69f6ee738","schema_version":"1.0","event_id":"sha256:2879b2011ccb0d15e84d5ca00e045e08c1e4e609e44f825bca696cc69f6ee738"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ISNPX6M5R4XLFYQGWKDFGG6Y22/bundle.json","state_url":"https://pith.science/pith/ISNPX6M5R4XLFYQGWKDFGG6Y22/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ISNPX6M5R4XLFYQGWKDFGG6Y22/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":"2026-08-08T20:10:35Z","links":{"resolver":"https://pith.science/pith/ISNPX6M5R4XLFYQGWKDFGG6Y22","bundle":"https://pith.science/pith/ISNPX6M5R4XLFYQGWKDFGG6Y22/bundle.json","state":"https://pith.science/pith/ISNPX6M5R4XLFYQGWKDFGG6Y22/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ISNPX6M5R4XLFYQGWKDFGG6Y22/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ISNPX6M5R4XLFYQGWKDFGG6Y22","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":"5df030c054064d38e829124e349bfd4d7b31286491c6bce445c0019894458e56","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-23T04:27:46Z","title_canon_sha256":"f5c820152ac287897095c655ad625c4fe1f11f17c6569165d23124e42931d38b"},"schema_version":"1.0","source":{"id":"2503.17934","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.17934","created_at":"2026-07-05T10:37:58Z"},{"alias_kind":"arxiv_version","alias_value":"2503.17934v1","created_at":"2026-07-05T10:37:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.17934","created_at":"2026-07-05T10:37:58Z"},{"alias_kind":"pith_short_12","alias_value":"ISNPX6M5R4XL","created_at":"2026-07-05T10:37:58Z"},{"alias_kind":"pith_short_16","alias_value":"ISNPX6M5R4XLFYQG","created_at":"2026-07-05T10:37:58Z"},{"alias_kind":"pith_short_8","alias_value":"ISNPX6M5","created_at":"2026-07-05T10:37:58Z"}],"graph_snapshots":[{"event_id":"sha256:2879b2011ccb0d15e84d5ca00e045e08c1e4e609e44f825bca696cc69f6ee738","target":"graph","created_at":"2026-07-05T10:37:58Z","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/2503.17934/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text-to-video generative models have made remarkable advancements in recent years. However, generating RGBA videos with alpha channels for transparency and visual effects remains a significant challenge due to the scarcity of suitable datasets and the complexity of adapting existing models for this purpose. To address these limitations, we present TransAnimate, an innovative framework that integrates RGBA image generation techniques with video generation modules, enabling the creation of dynamic and transparent videos. TransAnimate efficiently leverages pre-trained text-to-transparent image mo","authors_text":"Xuewei Chen, Yiren Song, Zhimin Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-23T04:27:46Z","title":"TransAnimate: Taming Layer Diffusion to Generate RGBA Video"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.17934","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":"sha256:590e7b2e83fdbd73a5659ecd5bc987da363ca00719c55f4d9023eeec6d1d5299","target":"record","created_at":"2026-07-05T10:37:58Z","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":"5df030c054064d38e829124e349bfd4d7b31286491c6bce445c0019894458e56","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-23T04:27:46Z","title_canon_sha256":"f5c820152ac287897095c655ad625c4fe1f11f17c6569165d23124e42931d38b"},"schema_version":"1.0","source":{"id":"2503.17934","kind":"arxiv","version":1}},"canonical_sha256":"449afbf99d8f2eb2e206b286531bd8d6b941b8233c6808a2b1fd4b1a94234f77","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"449afbf99d8f2eb2e206b286531bd8d6b941b8233c6808a2b1fd4b1a94234f77","first_computed_at":"2026-07-05T10:37:58.982930Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:37:58.982930Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TKDnxx5T4qRJG45+uzgYX2S1+uQsaBqMaMiBbYa7hgH4Y6oEWSmt65Qfj+DXUvWZh4Mu27X3lElvB5OqpEiPBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:37:58.983522Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.17934","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:590e7b2e83fdbd73a5659ecd5bc987da363ca00719c55f4d9023eeec6d1d5299","sha256:2879b2011ccb0d15e84d5ca00e045e08c1e4e609e44f825bca696cc69f6ee738"],"state_sha256":"334f003097748b56df68c74630a08ee458482693097aa6892c1b638386eace19"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5G82gZ+xrS705FhN/sIbf42WohFOK96FZanUP7CEBXsEpDETkRof/21K0KmbNjraOND3ryD/uWH16roy5C+aAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T20:10:35.629438Z","bundle_sha256":"9c633cf5a6585d43d4ef2e8de1c87435784ddce0b88beef78df1e56f9531bedf"}}