{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:IHIAGHZWNRYC7GKV64A2GJ6BP3","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":"a3e93b28580707d65be2d92cd6f7d4bf1bae1e91e16bfa2b78e84de69dfa5743","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-11T06:45:15Z","title_canon_sha256":"6d6d405303fc35c034f8c073b5fc13016794beb2bbd2ca42f8c9b3598c038283"},"schema_version":"1.0","source":{"id":"2210.05185","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.05185","created_at":"2026-07-05T05:05:13Z"},{"alias_kind":"arxiv_version","alias_value":"2210.05185v1","created_at":"2026-07-05T05:05:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.05185","created_at":"2026-07-05T05:05:13Z"},{"alias_kind":"pith_short_12","alias_value":"IHIAGHZWNRYC","created_at":"2026-07-05T05:05:13Z"},{"alias_kind":"pith_short_16","alias_value":"IHIAGHZWNRYC7GKV","created_at":"2026-07-05T05:05:13Z"},{"alias_kind":"pith_short_8","alias_value":"IHIAGHZW","created_at":"2026-07-05T05:05:13Z"}],"graph_snapshots":[{"event_id":"sha256:ef35cfbf3ceb6611c49f71cb286cd780fef07de009298dd63d58e5ff6722ec66","target":"graph","created_at":"2026-07-05T05:05:13Z","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/2210.05185/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The idea of using a separately trained target model (or teacher) to improve the performance of the student model has been increasingly popular in various machine learning domains, and meta-learning is no exception; a recent discovery shows that utilizing task-wise target models can significantly boost the generalization performance. However, obtaining a target model for each task can be highly expensive, especially when the number of tasks for meta-learning is large. To tackle this issue, we propose a simple yet effective method, coined Self-improving Momentum Target (SiMT). SiMT generates the","authors_text":"Hankook Lee, Jaeho Lee, Jihoon Tack, Jinwoo Shin, Jongjin Park","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-11T06:45:15Z","title":"Meta-Learning with Self-Improving Momentum Target"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.05185","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:a9a29d5c13a2747f035fbd543e68fc937da35e2b770ce220f3ac01f491f27eef","target":"record","created_at":"2026-07-05T05:05:13Z","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":"a3e93b28580707d65be2d92cd6f7d4bf1bae1e91e16bfa2b78e84de69dfa5743","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-11T06:45:15Z","title_canon_sha256":"6d6d405303fc35c034f8c073b5fc13016794beb2bbd2ca42f8c9b3598c038283"},"schema_version":"1.0","source":{"id":"2210.05185","kind":"arxiv","version":1}},"canonical_sha256":"41d0031f366c702f9955f701a327c17ef2e48a2b6999e43e7ba207af81e35b0e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"41d0031f366c702f9955f701a327c17ef2e48a2b6999e43e7ba207af81e35b0e","first_computed_at":"2026-07-05T05:05:13.896095Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:05:13.896095Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fJkad1WFtbZ9zQqa1R0Br7QEOclrTk1jK49rvDyd7y53ttJxBAJVF64MxJlLLxAqcDAVlAlrMvaRRVurk/NABQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:05:13.896540Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.05185","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a9a29d5c13a2747f035fbd543e68fc937da35e2b770ce220f3ac01f491f27eef","sha256:ef35cfbf3ceb6611c49f71cb286cd780fef07de009298dd63d58e5ff6722ec66"],"state_sha256":"7e7a3ef6174fe3b81429513678780a7480eab984dcdf05fc823a12ac711a29d4"}