{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:74AC2MIVXUVVXBTETNMHHZPLSF","short_pith_number":"pith:74AC2MIV","canonical_record":{"source":{"id":"2409.09605","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-15T04:09:12Z","cross_cats_sorted":[],"title_canon_sha256":"72e9bea498b5503aab6890daaf491352074b21a2b95ed4d9dffcbc85c826acc2","abstract_canon_sha256":"557dce07f9d511fce42b63349a5e5e2f8a55241924b66dd933849cac5c24c625"},"schema_version":"1.0"},"canonical_sha256":"ff002d3115bd2b5b86649b5873e5eb9141308b5112da6cd2dc314e1261d1d4e8","source":{"kind":"arxiv","id":"2409.09605","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.09605","created_at":"2026-07-05T09:08:29Z"},{"alias_kind":"arxiv_version","alias_value":"2409.09605v2","created_at":"2026-07-05T09:08:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.09605","created_at":"2026-07-05T09:08:29Z"},{"alias_kind":"pith_short_12","alias_value":"74AC2MIVXUVV","created_at":"2026-07-05T09:08:29Z"},{"alias_kind":"pith_short_16","alias_value":"74AC2MIVXUVVXBTE","created_at":"2026-07-05T09:08:29Z"},{"alias_kind":"pith_short_8","alias_value":"74AC2MIV","created_at":"2026-07-05T09:08:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:74AC2MIVXUVVXBTETNMHHZPLSF","target":"record","payload":{"canonical_record":{"source":{"id":"2409.09605","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-15T04:09:12Z","cross_cats_sorted":[],"title_canon_sha256":"72e9bea498b5503aab6890daaf491352074b21a2b95ed4d9dffcbc85c826acc2","abstract_canon_sha256":"557dce07f9d511fce42b63349a5e5e2f8a55241924b66dd933849cac5c24c625"},"schema_version":"1.0"},"canonical_sha256":"ff002d3115bd2b5b86649b5873e5eb9141308b5112da6cd2dc314e1261d1d4e8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:08:29.683278Z","signature_b64":"xoROiWRxfleFiHdns475tWt+i9JVT9UDhvRLCVxg7dqGN7ur9NPgSgrCTKYPN5uryzKGEU9lYqCWeuwxNeNjDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ff002d3115bd2b5b86649b5873e5eb9141308b5112da6cd2dc314e1261d1d4e8","last_reissued_at":"2026-07-05T09:08:29.682820Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:08:29.682820Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.09605","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:08:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QnMSRVqbec0w6zGc1QPEeEnENYLJrkfUIb4ietWBYVsdl1Tos/IrYneCsKnaaYMoXFbzCUe0Z8KF6Lb8PhH7CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T07:24:38.051357Z"},"content_sha256":"2d387c11f9f3a1b31fa5603924d8478cc89cc7989e0fa75395ee514e1dbc38ed","schema_version":"1.0","event_id":"sha256:2d387c11f9f3a1b31fa5603924d8478cc89cc7989e0fa75395ee514e1dbc38ed"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:74AC2MIVXUVVXBTETNMHHZPLSF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Baopu Li, Huiqiang Sun, Jianming Zhang, Liao Shen, Tianqi Liu, Xinyi Ye, Zhiguo Cao","submitted_at":"2024-09-15T04:09:12Z","abstract_excerpt":"We study the problem of generating intermediate images from image pairs with large motion while maintaining semantic consistency. Due to the large motion, the intermediate semantic information may be absent in input images. Existing methods either limit to small motion or focus on topologically similar objects, leading to artifacts and inconsistency in the interpolation results. To overcome this challenge, we delve into pre-trained image diffusion models for their capabilities in semantic cognition and representations, ensuring consistent expression of the absent intermediate semantic represen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.09605","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/2409.09605/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":"2026-07-05T09:08:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zLDrFZmT7jDnr0KDgPcaCZkg/1ZtepGyU4Sog1qp3X4eK7DZuEUogHh/cWXObOIDg96gTCUcXO1v/EZE15tjDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T07:24:38.052169Z"},"content_sha256":"57ccbb7b167536a5125af63f1e71feea106be2af3a5c87470b6106a54fd52503","schema_version":"1.0","event_id":"sha256:57ccbb7b167536a5125af63f1e71feea106be2af3a5c87470b6106a54fd52503"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/74AC2MIVXUVVXBTETNMHHZPLSF/bundle.json","state_url":"https://pith.science/pith/74AC2MIVXUVVXBTETNMHHZPLSF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/74AC2MIVXUVVXBTETNMHHZPLSF/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":"2026-08-04T07:24:38Z","links":{"resolver":"https://pith.science/pith/74AC2MIVXUVVXBTETNMHHZPLSF","bundle":"https://pith.science/pith/74AC2MIVXUVVXBTETNMHHZPLSF/bundle.json","state":"https://pith.science/pith/74AC2MIVXUVVXBTETNMHHZPLSF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/74AC2MIVXUVVXBTETNMHHZPLSF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:74AC2MIVXUVVXBTETNMHHZPLSF","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":"557dce07f9d511fce42b63349a5e5e2f8a55241924b66dd933849cac5c24c625","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-15T04:09:12Z","title_canon_sha256":"72e9bea498b5503aab6890daaf491352074b21a2b95ed4d9dffcbc85c826acc2"},"schema_version":"1.0","source":{"id":"2409.09605","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.09605","created_at":"2026-07-05T09:08:29Z"},{"alias_kind":"arxiv_version","alias_value":"2409.09605v2","created_at":"2026-07-05T09:08:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.09605","created_at":"2026-07-05T09:08:29Z"},{"alias_kind":"pith_short_12","alias_value":"74AC2MIVXUVV","created_at":"2026-07-05T09:08:29Z"},{"alias_kind":"pith_short_16","alias_value":"74AC2MIVXUVVXBTE","created_at":"2026-07-05T09:08:29Z"},{"alias_kind":"pith_short_8","alias_value":"74AC2MIV","created_at":"2026-07-05T09:08:29Z"}],"graph_snapshots":[{"event_id":"sha256:57ccbb7b167536a5125af63f1e71feea106be2af3a5c87470b6106a54fd52503","target":"graph","created_at":"2026-07-05T09:08:29Z","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/2409.09605/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We study the problem of generating intermediate images from image pairs with large motion while maintaining semantic consistency. Due to the large motion, the intermediate semantic information may be absent in input images. Existing methods either limit to small motion or focus on topologically similar objects, leading to artifacts and inconsistency in the interpolation results. To overcome this challenge, we delve into pre-trained image diffusion models for their capabilities in semantic cognition and representations, ensuring consistent expression of the absent intermediate semantic represen","authors_text":"Baopu Li, Huiqiang Sun, Jianming Zhang, Liao Shen, Tianqi Liu, Xinyi Ye, Zhiguo Cao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-15T04:09:12Z","title":"DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.09605","kind":"arxiv","version":2},"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":"sha256:2d387c11f9f3a1b31fa5603924d8478cc89cc7989e0fa75395ee514e1dbc38ed","target":"record","created_at":"2026-07-05T09:08:29Z","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":"557dce07f9d511fce42b63349a5e5e2f8a55241924b66dd933849cac5c24c625","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-15T04:09:12Z","title_canon_sha256":"72e9bea498b5503aab6890daaf491352074b21a2b95ed4d9dffcbc85c826acc2"},"schema_version":"1.0","source":{"id":"2409.09605","kind":"arxiv","version":2}},"canonical_sha256":"ff002d3115bd2b5b86649b5873e5eb9141308b5112da6cd2dc314e1261d1d4e8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ff002d3115bd2b5b86649b5873e5eb9141308b5112da6cd2dc314e1261d1d4e8","first_computed_at":"2026-07-05T09:08:29.682820Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:08:29.682820Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xoROiWRxfleFiHdns475tWt+i9JVT9UDhvRLCVxg7dqGN7ur9NPgSgrCTKYPN5uryzKGEU9lYqCWeuwxNeNjDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:08:29.683278Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.09605","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2d387c11f9f3a1b31fa5603924d8478cc89cc7989e0fa75395ee514e1dbc38ed","sha256:57ccbb7b167536a5125af63f1e71feea106be2af3a5c87470b6106a54fd52503"],"state_sha256":"7c87542985e2af698bd39242aec8bc00a0197361c51703ccb2bd622d35f59c53"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bBQhmRyLOfGtu7RK+5OGu0JXieAifn7jrm86d0gGS2G80TWyJvo6m/otI6LlHy+VbWVuUUiL7LKFlkdMo5b9Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T07:24:38.058440Z","bundle_sha256":"526cdfbc3e2753b330da519db3ee68f68df899470bbd3b84ffe548352b1220fc"}}