{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:TOT47FNI7I6ADOCZ4FF2HFHPGX","short_pith_number":"pith:TOT47FNI","canonical_record":{"source":{"id":"2503.20287","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-26T07:30:58Z","cross_cats_sorted":[],"title_canon_sha256":"f4e2627ae58872576d11799a4f36d869f450e7174649a5165396ff702aaae585","abstract_canon_sha256":"9f61809704de314c20eb06ad2f46d3a330f57e84820ec193dfa997204dcc0e3e"},"schema_version":"1.0"},"canonical_sha256":"9ba7cf95a8fa3c01b859e14ba394ef35c644ab7bf2a992a237dd58c43adbbca0","source":{"kind":"arxiv","id":"2503.20287","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.20287","created_at":"2026-07-05T11:35:34Z"},{"alias_kind":"arxiv_version","alias_value":"2503.20287v2","created_at":"2026-07-05T11:35:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.20287","created_at":"2026-07-05T11:35:34Z"},{"alias_kind":"pith_short_12","alias_value":"TOT47FNI7I6A","created_at":"2026-07-05T11:35:34Z"},{"alias_kind":"pith_short_16","alias_value":"TOT47FNI7I6ADOCZ","created_at":"2026-07-05T11:35:34Z"},{"alias_kind":"pith_short_8","alias_value":"TOT47FNI","created_at":"2026-07-05T11:35:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:TOT47FNI7I6ADOCZ4FF2HFHPGX","target":"record","payload":{"canonical_record":{"source":{"id":"2503.20287","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-26T07:30:58Z","cross_cats_sorted":[],"title_canon_sha256":"f4e2627ae58872576d11799a4f36d869f450e7174649a5165396ff702aaae585","abstract_canon_sha256":"9f61809704de314c20eb06ad2f46d3a330f57e84820ec193dfa997204dcc0e3e"},"schema_version":"1.0"},"canonical_sha256":"9ba7cf95a8fa3c01b859e14ba394ef35c644ab7bf2a992a237dd58c43adbbca0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:35:34.134682Z","signature_b64":"+g7qUxMRqG3Al0T2m4nXV/2JMp8oOVT7WVhu0CNbaDT9AGXbBi4EtioH2OgpT+bTrIGfoGYXTGPSoH6dWSnHDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9ba7cf95a8fa3c01b859e14ba394ef35c644ab7bf2a992a237dd58c43adbbca0","last_reissued_at":"2026-07-05T11:35:34.134233Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:35:34.134233Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.20287","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":"2026-07-05T11:35:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+/CmRJCXDPzZs3EzY4B5w42gCOqmwk1RNuooWvq2Fx+pEBukL4VOes9/cUSwYhiVnQkefRMacNWVxVLWpumVBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T06:13:02.923463Z"},"content_sha256":"75526229ceaa1c47c394ee354ed0d66975e534053db57bf372717dca7a6451d5","schema_version":"1.0","event_id":"sha256:75526229ceaa1c47c394ee354ed0d66975e534053db57bf372717dca7a6451d5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:TOT47FNI7I6ADOCZ4FF2HFHPGX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset Construction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chenxi Xie, Lei Zhang, Liyi Chen, Ruibin Li, Shihao Wang, Yuhui Wu","submitted_at":"2025-03-26T07:30:58Z","abstract_excerpt":"Instruction-based video editing allows effective and interactive editing of videos using only instructions without extra inputs such as masks or attributes. However, collecting high-quality training triplets (source video, edited video, instruction) is a challenging task. Existing datasets mostly consist of low-resolution, short duration, and limited amount of source videos with unsatisfactory editing quality, limiting the performance of trained editing models. In this work, we present a high-quality Instruction-based Video Editing dataset with 1M triplets, namely InsViE-1M. We first curate hi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.20287","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/2503.20287/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":"2026-07-05T11:35:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qaCnYgTdwKZYMsEz0otX7CXbkgbxzkwXHDkDUN7DbHsfCpep0xtxEjqt64+Ugzn6FJ4MygDBM6Y6qqB4wBpfDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T06:13:02.924399Z"},"content_sha256":"1713de50924a56374a1c291c62aae199f902bbc623af91f5c423488bf479a3c3","schema_version":"1.0","event_id":"sha256:1713de50924a56374a1c291c62aae199f902bbc623af91f5c423488bf479a3c3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TOT47FNI7I6ADOCZ4FF2HFHPGX/bundle.json","state_url":"https://pith.science/pith/TOT47FNI7I6ADOCZ4FF2HFHPGX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TOT47FNI7I6ADOCZ4FF2HFHPGX/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":"2026-08-09T06:13:02Z","links":{"resolver":"https://pith.science/pith/TOT47FNI7I6ADOCZ4FF2HFHPGX","bundle":"https://pith.science/pith/TOT47FNI7I6ADOCZ4FF2HFHPGX/bundle.json","state":"https://pith.science/pith/TOT47FNI7I6ADOCZ4FF2HFHPGX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TOT47FNI7I6ADOCZ4FF2HFHPGX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:TOT47FNI7I6ADOCZ4FF2HFHPGX","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":"9f61809704de314c20eb06ad2f46d3a330f57e84820ec193dfa997204dcc0e3e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-26T07:30:58Z","title_canon_sha256":"f4e2627ae58872576d11799a4f36d869f450e7174649a5165396ff702aaae585"},"schema_version":"1.0","source":{"id":"2503.20287","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.20287","created_at":"2026-07-05T11:35:34Z"},{"alias_kind":"arxiv_version","alias_value":"2503.20287v2","created_at":"2026-07-05T11:35:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.20287","created_at":"2026-07-05T11:35:34Z"},{"alias_kind":"pith_short_12","alias_value":"TOT47FNI7I6A","created_at":"2026-07-05T11:35:34Z"},{"alias_kind":"pith_short_16","alias_value":"TOT47FNI7I6ADOCZ","created_at":"2026-07-05T11:35:34Z"},{"alias_kind":"pith_short_8","alias_value":"TOT47FNI","created_at":"2026-07-05T11:35:34Z"}],"graph_snapshots":[{"event_id":"sha256:1713de50924a56374a1c291c62aae199f902bbc623af91f5c423488bf479a3c3","target":"graph","created_at":"2026-07-05T11:35:34Z","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/2503.20287/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Instruction-based video editing allows effective and interactive editing of videos using only instructions without extra inputs such as masks or attributes. However, collecting high-quality training triplets (source video, edited video, instruction) is a challenging task. Existing datasets mostly consist of low-resolution, short duration, and limited amount of source videos with unsatisfactory editing quality, limiting the performance of trained editing models. In this work, we present a high-quality Instruction-based Video Editing dataset with 1M triplets, namely InsViE-1M. We first curate hi","authors_text":"Chenxi Xie, Lei Zhang, Liyi Chen, Ruibin Li, Shihao Wang, Yuhui Wu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-26T07:30:58Z","title":"InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset Construction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.20287","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":"sha256:75526229ceaa1c47c394ee354ed0d66975e534053db57bf372717dca7a6451d5","target":"record","created_at":"2026-07-05T11:35:34Z","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":"9f61809704de314c20eb06ad2f46d3a330f57e84820ec193dfa997204dcc0e3e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-26T07:30:58Z","title_canon_sha256":"f4e2627ae58872576d11799a4f36d869f450e7174649a5165396ff702aaae585"},"schema_version":"1.0","source":{"id":"2503.20287","kind":"arxiv","version":2}},"canonical_sha256":"9ba7cf95a8fa3c01b859e14ba394ef35c644ab7bf2a992a237dd58c43adbbca0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9ba7cf95a8fa3c01b859e14ba394ef35c644ab7bf2a992a237dd58c43adbbca0","first_computed_at":"2026-07-05T11:35:34.134233Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:35:34.134233Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+g7qUxMRqG3Al0T2m4nXV/2JMp8oOVT7WVhu0CNbaDT9AGXbBi4EtioH2OgpT+bTrIGfoGYXTGPSoH6dWSnHDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:35:34.134682Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.20287","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:75526229ceaa1c47c394ee354ed0d66975e534053db57bf372717dca7a6451d5","sha256:1713de50924a56374a1c291c62aae199f902bbc623af91f5c423488bf479a3c3"],"state_sha256":"aa9f901f51083fa2f786405a39a1a31d86f06c2fb5e2ab021f5ebd6d4c45308e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RQUXOG/FvTFMgN7j0GNUmXHWz868eNq8DFiasC+rvfFzanNdJ2VrWg/99JMGnIwn2zW4PhNWRhnaC2EEZwKwDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T06:13:02.931119Z","bundle_sha256":"5fad5900a9e5580885fb7a6e2c0f26bfd4702e056a527acdcffb711828d7bc7a"}}