{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:UHPKWUWWF2BZBS7FCZET4VZ2NK","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":"09bd5ff7ac2a03c3793dd324736ba27ed6b4e21dbf8d67a28cc72c7a47574a82","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-15T03:22:40Z","title_canon_sha256":"96809f378b1f547eecfe2379883cb60cd1fb65ede6968ce8a921e5526981720c"},"schema_version":"1.0","source":{"id":"2308.07545","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.07545","created_at":"2026-07-05T08:56:56Z"},{"alias_kind":"arxiv_version","alias_value":"2308.07545v4","created_at":"2026-07-05T08:56:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.07545","created_at":"2026-07-05T08:56:56Z"},{"alias_kind":"pith_short_12","alias_value":"UHPKWUWWF2BZ","created_at":"2026-07-05T08:56:56Z"},{"alias_kind":"pith_short_16","alias_value":"UHPKWUWWF2BZBS7F","created_at":"2026-07-05T08:56:56Z"},{"alias_kind":"pith_short_8","alias_value":"UHPKWUWW","created_at":"2026-07-05T08:56:56Z"}],"graph_snapshots":[{"event_id":"sha256:0ab9ca2ee23ecc2bc47a16a8f2f2b407e7ef4d0e14c1648ad0c501bd2a700d3a","target":"graph","created_at":"2026-07-05T08:56:56Z","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/2308.07545/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dataset distillation methods reduce large-scale datasets to smaller sets of synthetic data, preserving sufficient information to quickly train a new model from scratch. However, prior work on dataset distillation has focused exclusively on image classification datasets, whereas modern large-scale datasets are primarily vision-language datasets. In this work, we design the first vision-language dataset distillation method, building on the idea of trajectory matching. A key challenge is that vision-language datasets do not have a set of discrete classes. To overcome this, our proposed method joi","authors_text":"Byron Zhang, Olga Russakovsky, Xindi Wu, Zhiwei Deng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-15T03:22:40Z","title":"Vision-Language Dataset Distillation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.07545","kind":"arxiv","version":4},"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":"sha256:84e3e3ef2e0706ef9d87176086d5ec302dc374a56f5b1f5f2ebb216a3d811b8e","target":"record","created_at":"2026-07-05T08:56:56Z","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":"09bd5ff7ac2a03c3793dd324736ba27ed6b4e21dbf8d67a28cc72c7a47574a82","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-15T03:22:40Z","title_canon_sha256":"96809f378b1f547eecfe2379883cb60cd1fb65ede6968ce8a921e5526981720c"},"schema_version":"1.0","source":{"id":"2308.07545","kind":"arxiv","version":4}},"canonical_sha256":"a1deab52d62e8390cbe516493e573a6a8e1d9de988bb0e9907ba436a225823fa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a1deab52d62e8390cbe516493e573a6a8e1d9de988bb0e9907ba436a225823fa","first_computed_at":"2026-07-05T08:56:56.691626Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:56:56.691626Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lZcpUztEIwPPYtvKCMFKNlZRta/5UcTNr7MC1N8ml4jGZSd4ZJr/QuMOA4zGFFZFIf92VJM8/mUQcBoLCU1sDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:56:56.692227Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.07545","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:84e3e3ef2e0706ef9d87176086d5ec302dc374a56f5b1f5f2ebb216a3d811b8e","sha256:0ab9ca2ee23ecc2bc47a16a8f2f2b407e7ef4d0e14c1648ad0c501bd2a700d3a"],"state_sha256":"673c0aaca3d2beba69ef16b13590bbe6ec7b745d4c48b452f34af118e349598f"}