{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:3XGMDHVXCJ6NUA4MDQLPWYQA6X","short_pith_number":"pith:3XGMDHVX","canonical_record":{"source":{"id":"2209.11908","kind":"arxiv","version":8},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-24T02:48:02Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"1280d7a9147984885103de87387d6c265fe8e332970a3bddb0eb9fd9555043bb","abstract_canon_sha256":"ad619b03f4d3e2dd92c91716d1e315f1ff6beb4a7ef1792822a9d39590dd68bb"},"schema_version":"1.0"},"canonical_sha256":"ddccc19eb7127cda038c1c16fb6200f5e3a01166c703cd1222cd7d2f98df8f6f","source":{"kind":"arxiv","id":"2209.11908","version":8},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.11908","created_at":"2026-07-05T11:10:43Z"},{"alias_kind":"arxiv_version","alias_value":"2209.11908v8","created_at":"2026-07-05T11:10:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.11908","created_at":"2026-07-05T11:10:43Z"},{"alias_kind":"pith_short_12","alias_value":"3XGMDHVXCJ6N","created_at":"2026-07-05T11:10:43Z"},{"alias_kind":"pith_short_16","alias_value":"3XGMDHVXCJ6NUA4M","created_at":"2026-07-05T11:10:43Z"},{"alias_kind":"pith_short_8","alias_value":"3XGMDHVX","created_at":"2026-07-05T11:10:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:3XGMDHVXCJ6NUA4MDQLPWYQA6X","target":"record","payload":{"canonical_record":{"source":{"id":"2209.11908","kind":"arxiv","version":8},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-24T02:48:02Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"1280d7a9147984885103de87387d6c265fe8e332970a3bddb0eb9fd9555043bb","abstract_canon_sha256":"ad619b03f4d3e2dd92c91716d1e315f1ff6beb4a7ef1792822a9d39590dd68bb"},"schema_version":"1.0"},"canonical_sha256":"ddccc19eb7127cda038c1c16fb6200f5e3a01166c703cd1222cd7d2f98df8f6f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:10:43.786457Z","signature_b64":"l9RI+R04SRI9TA0sX/SgUX6l7dlEwxwHtpSHbVn+E2WyNq0K0UQfJUbblCa7yVN0qjm35ZPKBSQv69lOzHnrBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ddccc19eb7127cda038c1c16fb6200f5e3a01166c703cd1222cd7d2f98df8f6f","last_reissued_at":"2026-07-05T11:10:43.785941Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:10:43.785941Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2209.11908","source_version":8,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:10:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J6mSIRRk3wGO7YRJKRuW9t9TgmF93HG03o3mDOquQlKIZi9OBMoLsyH7XU6HjxJCHfCWSuapKJmwEmtwKTRiCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:21:14.187216Z"},"content_sha256":"dd0d2366ed08c8129ce8139bc30c1cff35fa428751584bce0cae619d11f01e53","schema_version":"1.0","event_id":"sha256:dd0d2366ed08c8129ce8139bc30c1cff35fa428751584bce0cae619d11f01e53"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:3XGMDHVXCJ6NUA4MDQLPWYQA6X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.LG","authors_text":"Daniel Martin, Letian Chen, Matthew Gombolay, Rohan Paleja, Sravan Jayanthi, Viacheslav Zakharov","submitted_at":"2022-09-24T02:48:02Z","abstract_excerpt":"Learning from Demonstration (LfD) approaches empower end-users to teach robots novel tasks via demonstrations of the desired behaviors, democratizing access to robotics. However, current LfD frameworks are not capable of fast adaptation to heterogeneous human demonstrations nor the large-scale deployment in ubiquitous robotics applications. In this paper, we propose a novel LfD framework, Fast Lifelong Adaptive Inverse Reinforcement learning (FLAIR). Our approach (1) leverages learned strategies to construct policy mixtures for fast adaptation to new demonstrations, allowing for quick end-user"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.11908","kind":"arxiv","version":8},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2209.11908/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:10:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iAsYJWp0eAC8YXI3Cc34IQHCIPdvF5llyzTSPDaDVxa3jY3kfsJwHitgEX4AtnhHjWAFGu/Iplb0nQz+sq2BBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:21:14.187875Z"},"content_sha256":"ee1671dfe12229e2eb80f62216d315e241939f1ea6162b7c05cbf6fe0940b9db","schema_version":"1.0","event_id":"sha256:ee1671dfe12229e2eb80f62216d315e241939f1ea6162b7c05cbf6fe0940b9db"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3XGMDHVXCJ6NUA4MDQLPWYQA6X/bundle.json","state_url":"https://pith.science/pith/3XGMDHVXCJ6NUA4MDQLPWYQA6X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3XGMDHVXCJ6NUA4MDQLPWYQA6X/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-05T15:21:14Z","links":{"resolver":"https://pith.science/pith/3XGMDHVXCJ6NUA4MDQLPWYQA6X","bundle":"https://pith.science/pith/3XGMDHVXCJ6NUA4MDQLPWYQA6X/bundle.json","state":"https://pith.science/pith/3XGMDHVXCJ6NUA4MDQLPWYQA6X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3XGMDHVXCJ6NUA4MDQLPWYQA6X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:3XGMDHVXCJ6NUA4MDQLPWYQA6X","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":"ad619b03f4d3e2dd92c91716d1e315f1ff6beb4a7ef1792822a9d39590dd68bb","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-24T02:48:02Z","title_canon_sha256":"1280d7a9147984885103de87387d6c265fe8e332970a3bddb0eb9fd9555043bb"},"schema_version":"1.0","source":{"id":"2209.11908","kind":"arxiv","version":8}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.11908","created_at":"2026-07-05T11:10:43Z"},{"alias_kind":"arxiv_version","alias_value":"2209.11908v8","created_at":"2026-07-05T11:10:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.11908","created_at":"2026-07-05T11:10:43Z"},{"alias_kind":"pith_short_12","alias_value":"3XGMDHVXCJ6N","created_at":"2026-07-05T11:10:43Z"},{"alias_kind":"pith_short_16","alias_value":"3XGMDHVXCJ6NUA4M","created_at":"2026-07-05T11:10:43Z"},{"alias_kind":"pith_short_8","alias_value":"3XGMDHVX","created_at":"2026-07-05T11:10:43Z"}],"graph_snapshots":[{"event_id":"sha256:ee1671dfe12229e2eb80f62216d315e241939f1ea6162b7c05cbf6fe0940b9db","target":"graph","created_at":"2026-07-05T11:10:43Z","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/2209.11908/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learning from Demonstration (LfD) approaches empower end-users to teach robots novel tasks via demonstrations of the desired behaviors, democratizing access to robotics. However, current LfD frameworks are not capable of fast adaptation to heterogeneous human demonstrations nor the large-scale deployment in ubiquitous robotics applications. In this paper, we propose a novel LfD framework, Fast Lifelong Adaptive Inverse Reinforcement learning (FLAIR). Our approach (1) leverages learned strategies to construct policy mixtures for fast adaptation to new demonstrations, allowing for quick end-user","authors_text":"Daniel Martin, Letian Chen, Matthew Gombolay, Rohan Paleja, Sravan Jayanthi, Viacheslav Zakharov","cross_cats":["cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-24T02:48:02Z","title":"Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.11908","kind":"arxiv","version":8},"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:dd0d2366ed08c8129ce8139bc30c1cff35fa428751584bce0cae619d11f01e53","target":"record","created_at":"2026-07-05T11:10:43Z","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":"ad619b03f4d3e2dd92c91716d1e315f1ff6beb4a7ef1792822a9d39590dd68bb","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-24T02:48:02Z","title_canon_sha256":"1280d7a9147984885103de87387d6c265fe8e332970a3bddb0eb9fd9555043bb"},"schema_version":"1.0","source":{"id":"2209.11908","kind":"arxiv","version":8}},"canonical_sha256":"ddccc19eb7127cda038c1c16fb6200f5e3a01166c703cd1222cd7d2f98df8f6f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ddccc19eb7127cda038c1c16fb6200f5e3a01166c703cd1222cd7d2f98df8f6f","first_computed_at":"2026-07-05T11:10:43.785941Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:10:43.785941Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"l9RI+R04SRI9TA0sX/SgUX6l7dlEwxwHtpSHbVn+E2WyNq0K0UQfJUbblCa7yVN0qjm35ZPKBSQv69lOzHnrBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:10:43.786457Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.11908","source_kind":"arxiv","source_version":8}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dd0d2366ed08c8129ce8139bc30c1cff35fa428751584bce0cae619d11f01e53","sha256:ee1671dfe12229e2eb80f62216d315e241939f1ea6162b7c05cbf6fe0940b9db"],"state_sha256":"3dd37975a0a578348e57bb02be2e2a15c16cb59347112615d4b4194b197e459f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2wchMAjNw69XQ9D0WeZqE7XLq0R2nn/KKzRcyvZJrtX3a6w8ZVF69FJvOHo/eyweZFWnCGU4zAtzlYhdRi0lAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T15:21:14.197897Z","bundle_sha256":"296c6b1eaa4008ed587ffa977ad7203761bb65ac5a99986e0a3c1e04b157ac92"}}