{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:R4OR3635I7E6MS3JIVYPC4AU3Y","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":"9adc16bd6e102b6825313d46709e955aee85e2da0e665e3ea2e0991e16fcb405","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-10T17:32:15Z","title_canon_sha256":"1209d7ffc0e472cd920e444269971c1d01f25d321d3c6d879d189dbe44f339b5"},"schema_version":"1.0","source":{"id":"2307.04722","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.04722","created_at":"2026-06-01T01:02:11Z"},{"alias_kind":"arxiv_version","alias_value":"2307.04722v2","created_at":"2026-06-01T01:02:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.04722","created_at":"2026-06-01T01:02:11Z"},{"alias_kind":"pith_short_12","alias_value":"R4OR3635I7E6","created_at":"2026-06-01T01:02:11Z"},{"alias_kind":"pith_short_16","alias_value":"R4OR3635I7E6MS3J","created_at":"2026-06-01T01:02:11Z"},{"alias_kind":"pith_short_8","alias_value":"R4OR3635","created_at":"2026-06-01T01:02:11Z"}],"graph_snapshots":[{"event_id":"sha256:b8006361b15a0be188f6e279d0559df8a12559167ebb1e6bc724a5c9e6dccdf5","target":"graph","created_at":"2026-06-01T01:02:11Z","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/2307.04722/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Meta-learning empowers learning systems with the ability to acquire knowledge from multiple tasks, enabling faster adaptation and generalization to new tasks. This review provides a comprehensive technical overview of meta-learning, emphasizing its importance in real-world applications where data may be scarce or expensive to obtain. The paper covers the state-of-the-art meta-learning approaches and explores the relationship between meta-learning and multi-task learning, transfer learning, domain adaptation and generalization, self-supervised learning, personalized federated learning, and cont","authors_text":"Anna Vettoruzzo, Joaquin Vanschoren, KC Santosh, Mohamed-Rafik Bouguelia, Thorsteinn R\\\"ognvaldsson","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-10T17:32:15Z","title":"Advances and Challenges in Meta-Learning: A Technical Review"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.04722","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:c04430f99630294d2bfbcb061182a0f5651b16224d3d0e5f455701d6c6c71de8","target":"record","created_at":"2026-06-01T01:02:11Z","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":"9adc16bd6e102b6825313d46709e955aee85e2da0e665e3ea2e0991e16fcb405","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-10T17:32:15Z","title_canon_sha256":"1209d7ffc0e472cd920e444269971c1d01f25d321d3c6d879d189dbe44f339b5"},"schema_version":"1.0","source":{"id":"2307.04722","kind":"arxiv","version":2}},"canonical_sha256":"8f1d1dfb7d47c9e64b694570f17014de15236d7557ef7a9a621d0b2290108f5c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8f1d1dfb7d47c9e64b694570f17014de15236d7557ef7a9a621d0b2290108f5c","first_computed_at":"2026-06-01T01:02:11.300869Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T01:02:11.300869Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DE09F2SJGbJiFz13eXeC1Hd8PtYfaVzxO04MxAofHGKzjrJuoecqcKe58mNQ42siHtwv9M08/TNm1b7x1H2AAQ==","signature_status":"signed_v1","signed_at":"2026-06-01T01:02:11.301916Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.04722","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c04430f99630294d2bfbcb061182a0f5651b16224d3d0e5f455701d6c6c71de8","sha256:b8006361b15a0be188f6e279d0559df8a12559167ebb1e6bc724a5c9e6dccdf5"],"state_sha256":"3ec533edcd4013b71bbf52f4791f4d71e92cceb48d496d77a3b25e94239dbc10"}