{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:TD7Z7VQALGXJJ5F5UHBLYQGFWA","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":"846cd3b6d711b3fc523682a7aaec456f1f44fd52579e465234256d094d3277bb","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2022-03-18T22:43:16Z","title_canon_sha256":"fe37574bf2f404777517c10ec6df1866f40571d35436b87f1b9f49d77495cb28"},"schema_version":"1.0","source":{"id":"2203.10185","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.10185","created_at":"2026-07-05T04:06:32Z"},{"alias_kind":"arxiv_version","alias_value":"2203.10185v1","created_at":"2026-07-05T04:06:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.10185","created_at":"2026-07-05T04:06:32Z"},{"alias_kind":"pith_short_12","alias_value":"TD7Z7VQALGXJ","created_at":"2026-07-05T04:06:32Z"},{"alias_kind":"pith_short_16","alias_value":"TD7Z7VQALGXJJ5F5","created_at":"2026-07-05T04:06:32Z"},{"alias_kind":"pith_short_8","alias_value":"TD7Z7VQA","created_at":"2026-07-05T04:06:32Z"}],"graph_snapshots":[{"event_id":"sha256:f0fb5f132889678ca2cf6978a8e814a3af9035d16b8b2e32591cd43b2959db65","target":"graph","created_at":"2026-07-05T04:06:32Z","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/2203.10185/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Model Agnostic Meta-Learning (MAML) consists of two optimization loops: the outer loop learns a meta-initialization of model parameters that is shared across tasks, and the inner loop task-specific adaptation step. A variant of MAML, Meta-SGD, uses the same two loop structure, but also learns the learning-rate for the adaptation step. Little attention has been paid to how the learned learning-rate of Meta-SGD affects feature reuse. In this paper, we study the effect that a learned learning-rate has on the per-task feature representations in Meta-SGD. The learned learning-rate of Meta-SGD often","authors_text":"Tom Starshak","cross_cats":[],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2022-03-18T22:43:16Z","title":"Negative Inner-Loop Learning Rates Learn Universal Features"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.10185","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:db0f8398ab1afbdb7c9f85ea512a3844904a7ad5d6d57c1f5aac20d52047ee61","target":"record","created_at":"2026-07-05T04:06:32Z","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":"846cd3b6d711b3fc523682a7aaec456f1f44fd52579e465234256d094d3277bb","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2022-03-18T22:43:16Z","title_canon_sha256":"fe37574bf2f404777517c10ec6df1866f40571d35436b87f1b9f49d77495cb28"},"schema_version":"1.0","source":{"id":"2203.10185","kind":"arxiv","version":1}},"canonical_sha256":"98ff9fd60059ae94f4bda1c2bc40c5b017c901e403dfabc534c43f421a251988","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"98ff9fd60059ae94f4bda1c2bc40c5b017c901e403dfabc534c43f421a251988","first_computed_at":"2026-07-05T04:06:32.341261Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:06:32.341261Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"s6nILsEvBbUrJu4e8ajWUP8NuqTCvPejmgQo8CiPfF0lzfDE0TmnwTDQPASArHKBKhK8Kr92u+vNfh4OYVxkBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:06:32.341629Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.10185","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:db0f8398ab1afbdb7c9f85ea512a3844904a7ad5d6d57c1f5aac20d52047ee61","sha256:f0fb5f132889678ca2cf6978a8e814a3af9035d16b8b2e32591cd43b2959db65"],"state_sha256":"514bad0fd1df9a5bc80731150e06944a74eb69c4a974430724a5a0e9744b37df"}