{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:OK73AENPRBZDF6VT4D2M6PTMFH","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":"518978ba93382500377e5326b5e7b6a5cb2edebc4d26d8cbf1ff44bcbe22275a","cross_cats_sorted":["cs.AI","cs.CV","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-09-14T17:50:18Z","title_canon_sha256":"42b3685f30468b8c398d5243fadaccc3506e4e29fcfae8323de40d9c0304e9f4"},"schema_version":"1.0","source":{"id":"1709.04905","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.04905","created_at":"2026-05-18T00:35:09Z"},{"alias_kind":"arxiv_version","alias_value":"1709.04905v1","created_at":"2026-05-18T00:35:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.04905","created_at":"2026-05-18T00:35:09Z"},{"alias_kind":"pith_short_12","alias_value":"OK73AENPRBZD","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_16","alias_value":"OK73AENPRBZDF6VT","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_8","alias_value":"OK73AENP","created_at":"2026-05-18T12:31:34Z"}],"graph_snapshots":[{"event_id":"sha256:68a6d101cbcd9f31a93b982f478ac25e71cca7023639614a268f1b7582318c97","target":"graph","created_at":"2026-05-18T00:35:09Z","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"},"paper":{"abstract_excerpt":"In order for a robot to be a generalist that can perform a wide range of jobs, it must be able to acquire a wide variety of skills quickly and efficiently in complex unstructured environments. High-capacity models such as deep neural networks can enable a robot to represent complex skills, but learning each skill from scratch then becomes infeasible. In this work, we present a meta-imitation learning method that enables a robot to learn how to learn more efficiently, allowing it to acquire new skills from just a single demonstration. Unlike prior methods for one-shot imitation, our method can ","authors_text":"Chelsea Finn, Pieter Abbeel, Sergey Levine, Tianhao Zhang, Tianhe Yu","cross_cats":["cs.AI","cs.CV","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-09-14T17:50:18Z","title":"One-Shot Visual Imitation Learning via Meta-Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.04905","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":"sha256:757bb351ae6a2ae385dabe963e49e2467147820e7af6665edba637174506523b","target":"record","created_at":"2026-05-18T00:35:09Z","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":"518978ba93382500377e5326b5e7b6a5cb2edebc4d26d8cbf1ff44bcbe22275a","cross_cats_sorted":["cs.AI","cs.CV","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-09-14T17:50:18Z","title_canon_sha256":"42b3685f30468b8c398d5243fadaccc3506e4e29fcfae8323de40d9c0304e9f4"},"schema_version":"1.0","source":{"id":"1709.04905","kind":"arxiv","version":1}},"canonical_sha256":"72bfb011af887232fab3e0f4cf3e6c29f18e2e5cbcde7d4e1dcf0256168bea8d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"72bfb011af887232fab3e0f4cf3e6c29f18e2e5cbcde7d4e1dcf0256168bea8d","first_computed_at":"2026-05-18T00:35:09.772429Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:35:09.772429Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5YkWSzaFK4wY26V3Pu6KMLn8B6/scVEH78L/7Cryy9viZGhbO2suw9YYvY9mt0gJTSXSULp1mgfpTpmvLgE3Ag==","signature_status":"signed_v1","signed_at":"2026-05-18T00:35:09.772782Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.04905","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:757bb351ae6a2ae385dabe963e49e2467147820e7af6665edba637174506523b","sha256:68a6d101cbcd9f31a93b982f478ac25e71cca7023639614a268f1b7582318c97"],"state_sha256":"24b28b061fafa37a11236f9fd75d74c468e6cbdf6b4822f6617cf7231107bfaf"}