{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:PGMRGZTREFVKJTPCTTBYO3BKUN","short_pith_number":"pith:PGMRGZTR","schema_version":"1.0","canonical_sha256":"7999136671216aa4cde29cc3876c2aa35dc2e9eddb77890d5a1b704fb7b7d2b1","source":{"kind":"arxiv","id":"2308.10648","version":1},"attestation_state":"computed","paper":{"title":"EVE: Efficient zero-shot text-based Video Editing with Depth Map Guidance and Temporal Consistency Constraints","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Chunluan Zhou, Ming Yang, Qingpei Guo, Tian Gan, Xingning Dong, Yutao Chen","submitted_at":"2023-08-21T11:36:46Z","abstract_excerpt":"Motivated by the superior performance of image diffusion models, more and more researchers strive to extend these models to the text-based video editing task. Nevertheless, current video editing tasks mainly suffer from the dilemma between the high fine-tuning cost and the limited generation capacity. Compared with images, we conjecture that videos necessitate more constraints to preserve the temporal consistency during editing. Towards this end, we propose EVE, a robust and efficient zero-shot video editing method. Under the guidance of depth maps and temporal consistency constraints, EVE der"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2308.10648","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-21T11:36:46Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"86aab550e35c1821411ac97e2d84e0786a2423ecc952025952d7c4a0b2dcc7df","abstract_canon_sha256":"75fb162ef6b195e00e1781e05114ee33bebcbe14fa528e6f3f157e0c5ecaaf70"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:43:12.296165Z","signature_b64":"NEZ5GHkwVK1jVnafi2ZuZOAh4yiJTt0P+HSHPwLAjPzIhtmZgNznZ5L/UHY0lPSIzxof0D7vBMtu1dgkMu9FDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7999136671216aa4cde29cc3876c2aa35dc2e9eddb77890d5a1b704fb7b7d2b1","last_reissued_at":"2026-07-05T06:43:12.294789Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:43:12.294789Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"EVE: Efficient zero-shot text-based Video Editing with Depth Map Guidance and Temporal Consistency Constraints","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Chunluan Zhou, Ming Yang, Qingpei Guo, Tian Gan, Xingning Dong, Yutao Chen","submitted_at":"2023-08-21T11:36:46Z","abstract_excerpt":"Motivated by the superior performance of image diffusion models, more and more researchers strive to extend these models to the text-based video editing task. Nevertheless, current video editing tasks mainly suffer from the dilemma between the high fine-tuning cost and the limited generation capacity. Compared with images, we conjecture that videos necessitate more constraints to preserve the temporal consistency during editing. Towards this end, we propose EVE, a robust and efficient zero-shot video editing method. Under the guidance of depth maps and temporal consistency constraints, EVE der"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.10648","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/2308.10648/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2308.10648","created_at":"2026-07-05T06:43:12.295008+00:00"},{"alias_kind":"arxiv_version","alias_value":"2308.10648v1","created_at":"2026-07-05T06:43:12.295008+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.10648","created_at":"2026-07-05T06:43:12.295008+00:00"},{"alias_kind":"pith_short_12","alias_value":"PGMRGZTREFVK","created_at":"2026-07-05T06:43:12.295008+00:00"},{"alias_kind":"pith_short_16","alias_value":"PGMRGZTREFVKJTPC","created_at":"2026-07-05T06:43:12.295008+00:00"},{"alias_kind":"pith_short_8","alias_value":"PGMRGZTR","created_at":"2026-07-05T06:43:12.295008+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/PGMRGZTREFVKJTPCTTBYO3BKUN","json":"https://pith.science/pith/PGMRGZTREFVKJTPCTTBYO3BKUN.json","graph_json":"https://pith.science/api/pith-number/PGMRGZTREFVKJTPCTTBYO3BKUN/graph.json","events_json":"https://pith.science/api/pith-number/PGMRGZTREFVKJTPCTTBYO3BKUN/events.json","paper":"https://pith.science/paper/PGMRGZTR"},"agent_actions":{"view_html":"https://pith.science/pith/PGMRGZTREFVKJTPCTTBYO3BKUN","download_json":"https://pith.science/pith/PGMRGZTREFVKJTPCTTBYO3BKUN.json","view_paper":"https://pith.science/paper/PGMRGZTR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2308.10648&json=true","fetch_graph":"https://pith.science/api/pith-number/PGMRGZTREFVKJTPCTTBYO3BKUN/graph.json","fetch_events":"https://pith.science/api/pith-number/PGMRGZTREFVKJTPCTTBYO3BKUN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PGMRGZTREFVKJTPCTTBYO3BKUN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PGMRGZTREFVKJTPCTTBYO3BKUN/action/storage_attestation","attest_author":"https://pith.science/pith/PGMRGZTREFVKJTPCTTBYO3BKUN/action/author_attestation","sign_citation":"https://pith.science/pith/PGMRGZTREFVKJTPCTTBYO3BKUN/action/citation_signature","submit_replication":"https://pith.science/pith/PGMRGZTREFVKJTPCTTBYO3BKUN/action/replication_record"}},"created_at":"2026-07-05T06:43:12.295008+00:00","updated_at":"2026-07-05T06:43:12.295008+00:00"}