{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:3TIS6ER2QI2PBZWBIJHGKX5S3W","short_pith_number":"pith:3TIS6ER2","canonical_record":{"source":{"id":"2406.00195","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-31T21:12:30Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2dacf0ba328a2ede4e63d1e609d97d2eeee278bae539abd1eea8ef4c673c5c9e","abstract_canon_sha256":"700877dc89933165d7c09ef986efb51e7220696bbdbc9d776d0826cf87dbc0aa"},"schema_version":"1.0"},"canonical_sha256":"dcd12f123a8234f0e6c1424e655fb2dd8069127cc9b9a5ea69a04540fa724d5d","source":{"kind":"arxiv","id":"2406.00195","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.00195","created_at":"2026-07-05T08:25:58Z"},{"alias_kind":"arxiv_version","alias_value":"2406.00195v1","created_at":"2026-07-05T08:25:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.00195","created_at":"2026-07-05T08:25:58Z"},{"alias_kind":"pith_short_12","alias_value":"3TIS6ER2QI2P","created_at":"2026-07-05T08:25:58Z"},{"alias_kind":"pith_short_16","alias_value":"3TIS6ER2QI2PBZWB","created_at":"2026-07-05T08:25:58Z"},{"alias_kind":"pith_short_8","alias_value":"3TIS6ER2","created_at":"2026-07-05T08:25:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:3TIS6ER2QI2PBZWBIJHGKX5S3W","target":"record","payload":{"canonical_record":{"source":{"id":"2406.00195","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-31T21:12:30Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2dacf0ba328a2ede4e63d1e609d97d2eeee278bae539abd1eea8ef4c673c5c9e","abstract_canon_sha256":"700877dc89933165d7c09ef986efb51e7220696bbdbc9d776d0826cf87dbc0aa"},"schema_version":"1.0"},"canonical_sha256":"dcd12f123a8234f0e6c1424e655fb2dd8069127cc9b9a5ea69a04540fa724d5d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:25:58.545238Z","signature_b64":"yJJxO+BfLvRgKsPVD7oK2YQ6vBvtRSaYv0ujtKRoaz5NxM7WMYnfrulXbqjKZvzXadlBwnFIv41eLV61xWdQCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dcd12f123a8234f0e6c1424e655fb2dd8069127cc9b9a5ea69a04540fa724d5d","last_reissued_at":"2026-07-05T08:25:58.544686Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:25:58.544686Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.00195","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":"2026-07-05T08:25:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7oyovk2sA5m8Z937H9FvA53ZuXgp3Rp7TUBrl+5ClHENFBR6PvjNj39IGJ4A8mC7EvXLqTzCg0O4mtW20+GbAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T05:06:02.020039Z"},"content_sha256":"17edf8677cfd8529f1fb9c47b37ed20d06d2d9962eb0045f1cf0f2f45e95ed11","schema_version":"1.0","event_id":"sha256:17edf8677cfd8529f1fb9c47b37ed20d06d2d9962eb0045f1cf0f2f45e95ed11"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:3TIS6ER2QI2PBZWBIJHGKX5S3W","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Difan Liu, Feng Liu, Tobias Hinz, Yan Kang, Yanzhi Wang, Yuchen Liu, Zhengang Li","submitted_at":"2024-05-31T21:12:30Z","abstract_excerpt":"While AI-generated content has garnered significant attention, achieving photo-realistic video synthesis remains a formidable challenge. Despite the promising advances in diffusion models for video generation quality, the complex model architecture and substantial computational demands for both training and inference create a significant gap between these models and real-world applications. This paper presents SNED, a superposition network architecture search method for efficient video diffusion model. Our method employs a supernet training paradigm that targets various model cost and resoluti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.00195","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/2406.00195/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":"2026-07-05T08:25:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iUYLFxa2i6+76nv4sV7TQxzTQMwty+I4aQczr4+Kf8g0crqQqpdBXmfnkKww69lTwVKovchbZI7jgZmdqezJAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T05:06:02.020928Z"},"content_sha256":"6c2cc41277e448046db1e010bea4ead5d88b4b6e460e9409d4e9f2325763e39c","schema_version":"1.0","event_id":"sha256:6c2cc41277e448046db1e010bea4ead5d88b4b6e460e9409d4e9f2325763e39c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3TIS6ER2QI2PBZWBIJHGKX5S3W/bundle.json","state_url":"https://pith.science/pith/3TIS6ER2QI2PBZWBIJHGKX5S3W/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3TIS6ER2QI2PBZWBIJHGKX5S3W/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":"2026-08-06T05:06:02Z","links":{"resolver":"https://pith.science/pith/3TIS6ER2QI2PBZWBIJHGKX5S3W","bundle":"https://pith.science/pith/3TIS6ER2QI2PBZWBIJHGKX5S3W/bundle.json","state":"https://pith.science/pith/3TIS6ER2QI2PBZWBIJHGKX5S3W/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3TIS6ER2QI2PBZWBIJHGKX5S3W/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3TIS6ER2QI2PBZWBIJHGKX5S3W","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":"700877dc89933165d7c09ef986efb51e7220696bbdbc9d776d0826cf87dbc0aa","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-31T21:12:30Z","title_canon_sha256":"2dacf0ba328a2ede4e63d1e609d97d2eeee278bae539abd1eea8ef4c673c5c9e"},"schema_version":"1.0","source":{"id":"2406.00195","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.00195","created_at":"2026-07-05T08:25:58Z"},{"alias_kind":"arxiv_version","alias_value":"2406.00195v1","created_at":"2026-07-05T08:25:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.00195","created_at":"2026-07-05T08:25:58Z"},{"alias_kind":"pith_short_12","alias_value":"3TIS6ER2QI2P","created_at":"2026-07-05T08:25:58Z"},{"alias_kind":"pith_short_16","alias_value":"3TIS6ER2QI2PBZWB","created_at":"2026-07-05T08:25:58Z"},{"alias_kind":"pith_short_8","alias_value":"3TIS6ER2","created_at":"2026-07-05T08:25:58Z"}],"graph_snapshots":[{"event_id":"sha256:6c2cc41277e448046db1e010bea4ead5d88b4b6e460e9409d4e9f2325763e39c","target":"graph","created_at":"2026-07-05T08:25:58Z","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/2406.00195/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While AI-generated content has garnered significant attention, achieving photo-realistic video synthesis remains a formidable challenge. Despite the promising advances in diffusion models for video generation quality, the complex model architecture and substantial computational demands for both training and inference create a significant gap between these models and real-world applications. This paper presents SNED, a superposition network architecture search method for efficient video diffusion model. Our method employs a supernet training paradigm that targets various model cost and resoluti","authors_text":"Difan Liu, Feng Liu, Tobias Hinz, Yan Kang, Yanzhi Wang, Yuchen Liu, Zhengang Li","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-31T21:12:30Z","title":"SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.00195","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":"sha256:17edf8677cfd8529f1fb9c47b37ed20d06d2d9962eb0045f1cf0f2f45e95ed11","target":"record","created_at":"2026-07-05T08:25:58Z","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":"700877dc89933165d7c09ef986efb51e7220696bbdbc9d776d0826cf87dbc0aa","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-31T21:12:30Z","title_canon_sha256":"2dacf0ba328a2ede4e63d1e609d97d2eeee278bae539abd1eea8ef4c673c5c9e"},"schema_version":"1.0","source":{"id":"2406.00195","kind":"arxiv","version":1}},"canonical_sha256":"dcd12f123a8234f0e6c1424e655fb2dd8069127cc9b9a5ea69a04540fa724d5d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dcd12f123a8234f0e6c1424e655fb2dd8069127cc9b9a5ea69a04540fa724d5d","first_computed_at":"2026-07-05T08:25:58.544686Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:25:58.544686Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yJJxO+BfLvRgKsPVD7oK2YQ6vBvtRSaYv0ujtKRoaz5NxM7WMYnfrulXbqjKZvzXadlBwnFIv41eLV61xWdQCg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:25:58.545238Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.00195","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:17edf8677cfd8529f1fb9c47b37ed20d06d2d9962eb0045f1cf0f2f45e95ed11","sha256:6c2cc41277e448046db1e010bea4ead5d88b4b6e460e9409d4e9f2325763e39c"],"state_sha256":"c1343e76eb9d9f9e65cf79c4bb320ec3500f5b7c0e046578879e368edc789bac"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EiZQzjWpghsmKhmSE4O3M2enTNeJU8dkZvSMsGtnXHKz9fq1zvSsMy4l3Iu0pZPyRAJOetlPRVX/+mW7slbFCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T05:06:02.028466Z","bundle_sha256":"8d5c836e04c6a1e520e7fdeb6ebee45c5c4d27d1be00f0850f7aa3f0efce9de0"}}