{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RFME4BLXV5TX2BRQCSKX3FDF6S","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":"e84a94b66f2b3f32cbabdc970a48046b664f4efd5cff7b8cdeee9329a5f09902","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-03T07:22:17Z","title_canon_sha256":"90f455bd4375d6e75892d6c25e365efd1b0a1816fbca1c3be05266778c006867"},"schema_version":"1.0","source":{"id":"2406.01063","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.01063","created_at":"2026-07-05T08:26:34Z"},{"alias_kind":"arxiv_version","alias_value":"2406.01063v1","created_at":"2026-07-05T08:26:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.01063","created_at":"2026-07-05T08:26:34Z"},{"alias_kind":"pith_short_12","alias_value":"RFME4BLXV5TX","created_at":"2026-07-05T08:26:34Z"},{"alias_kind":"pith_short_16","alias_value":"RFME4BLXV5TX2BRQ","created_at":"2026-07-05T08:26:34Z"},{"alias_kind":"pith_short_8","alias_value":"RFME4BLX","created_at":"2026-07-05T08:26:34Z"}],"graph_snapshots":[{"event_id":"sha256:28d5b03b388c4245e3dae569d789b9a0ed7f6249ee6b421be55b52b9ed1b7022","target":"graph","created_at":"2026-07-05T08:26:34Z","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/2406.01063/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dataset condensation addresses the problem of data burden by learning a small synthetic training set that preserves essential knowledge from the larger real training set. To date, the state-of-the-art (SOTA) results are often yielded by optimization-oriented methods, but their inefficiency hinders their application to realistic datasets. On the other hand, the Distribution-Matching (DM) methods show remarkable efficiency but sub-optimal results compared to optimization-oriented methods. In this paper, we reveal the limitations of current DM-based methods from the inner-class and inter-class vi","authors_text":"Fanzhao Lin, Hansong Zhang, Shikun Li, Shiming Ge, Weiping Wang, Zhenxing Qian","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-03T07:22:17Z","title":"DANCE: Dual-View Distribution Alignment for Dataset Condensation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.01063","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":"sha256:21340374e767b0b3229102fc6e74cb4d72a215c1f62e3e2cb9e578f0d272b4dd","target":"record","created_at":"2026-07-05T08:26:34Z","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":"e84a94b66f2b3f32cbabdc970a48046b664f4efd5cff7b8cdeee9329a5f09902","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-03T07:22:17Z","title_canon_sha256":"90f455bd4375d6e75892d6c25e365efd1b0a1816fbca1c3be05266778c006867"},"schema_version":"1.0","source":{"id":"2406.01063","kind":"arxiv","version":1}},"canonical_sha256":"89584e0577af677d063014957d9465f48e7b046c6806160ff5d97fe087ad078b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"89584e0577af677d063014957d9465f48e7b046c6806160ff5d97fe087ad078b","first_computed_at":"2026-07-05T08:26:34.578779Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:26:34.578779Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4jjoBoYw2+IAbwwUGM7GD27vlOmcfYXyfmFmdtTe4vtwqe34SPxPxvJ7mhCtUKNk+XPMbmM3owTloQGJ606iAw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:26:34.579249Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.01063","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:21340374e767b0b3229102fc6e74cb4d72a215c1f62e3e2cb9e578f0d272b4dd","sha256:28d5b03b388c4245e3dae569d789b9a0ed7f6249ee6b421be55b52b9ed1b7022"],"state_sha256":"87ca5df9cfb49ee59cefaf7bd7dc6c02b1c36729ca09671b6d668d1f128f79b4"}