{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:H4JGDTE2LXB63KCXRIZLHUEBRM","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":"8dd485432ee8eaec8964dc569d1ba7190970f87d762a31b8eceac6167d2055ac","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-23T15:55:30Z","title_canon_sha256":"c8726cba742575d64ffaa1806a19361003706160cef872d113f5689f60c7493d"},"schema_version":"1.0","source":{"id":"2310.15052","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.15052","created_at":"2026-07-05T07:04:05Z"},{"alias_kind":"arxiv_version","alias_value":"2310.15052v1","created_at":"2026-07-05T07:04:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.15052","created_at":"2026-07-05T07:04:05Z"},{"alias_kind":"pith_short_12","alias_value":"H4JGDTE2LXB6","created_at":"2026-07-05T07:04:05Z"},{"alias_kind":"pith_short_16","alias_value":"H4JGDTE2LXB63KCX","created_at":"2026-07-05T07:04:05Z"},{"alias_kind":"pith_short_8","alias_value":"H4JGDTE2","created_at":"2026-07-05T07:04:05Z"}],"graph_snapshots":[{"event_id":"sha256:4dcc9fbe3a33ae375db0a4e0f54a54546aab82ad936caa3ad5041a00f57a3161","target":"graph","created_at":"2026-07-05T07:04:05Z","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/2310.15052/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dataset distillation plays a crucial role in creating compact datasets with similar training performance compared with original large-scale ones. This is essential for addressing the challenges of data storage and training costs. Prevalent methods facilitate knowledge transfer by matching the gradients, embedding distributions, or training trajectories of synthetic images with those of the sampled original images. Although there are various matching objectives, currently the strategy for selecting original images is limited to naive random sampling. We argue that random sampling overlooks the ","authors_text":"Jianyang Gu, Kaipeng Zhang, Kai Wang, Wei Jiang, Yang You, Yanqing Liu, Zheng Zhu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-23T15:55:30Z","title":"DREAM+: Efficient Dataset Distillation by Bidirectional Representative Matching"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.15052","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":"sha256:1217d2f53dcc04aa0e3689267a6fdc411dde1b2d6fb57afc21087a29ea97ec69","target":"record","created_at":"2026-07-05T07:04:05Z","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":"8dd485432ee8eaec8964dc569d1ba7190970f87d762a31b8eceac6167d2055ac","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-23T15:55:30Z","title_canon_sha256":"c8726cba742575d64ffaa1806a19361003706160cef872d113f5689f60c7493d"},"schema_version":"1.0","source":{"id":"2310.15052","kind":"arxiv","version":1}},"canonical_sha256":"3f1261cc9a5dc3eda8578a32b3d0818b0b62c46f58d10f33f06a503d83ce8816","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3f1261cc9a5dc3eda8578a32b3d0818b0b62c46f58d10f33f06a503d83ce8816","first_computed_at":"2026-07-05T07:04:05.274892Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:04:05.274892Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/g94ESIgiq4y5qOcpXDcCirikJM62a/fCs67AImXM81VLJ9ShN9y81QMGwTQZBgLbvCVr8pNhTueCD4iGL7KAA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:04:05.275421Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.15052","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1217d2f53dcc04aa0e3689267a6fdc411dde1b2d6fb57afc21087a29ea97ec69","sha256:4dcc9fbe3a33ae375db0a4e0f54a54546aab82ad936caa3ad5041a00f57a3161"],"state_sha256":"aa6cfb07b9c6cb878960ba4c26b32add6628fe26f93309fbbe9a2a2d6b5acdbc"}