{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:3UIUD4O2LKDPM5KVSI7K76ZGVX","short_pith_number":"pith:3UIUD4O2","schema_version":"1.0","canonical_sha256":"dd1141f1da5a86f67555923eaffb26adc6bac3fa0898f884599c9412ab02c34d","source":{"kind":"arxiv","id":"2006.12551","version":1},"attestation_state":"computed","paper":{"title":"PICO: Primitive Imitation for COntrol","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.AI","authors_text":"Bart L. Paulhamus, Chace Ashcraft, Corban G. Rivera, Edward W. Staley, Kapil D. Katyal, Katie M. Popek","submitted_at":"2020-06-22T18:23:46Z","abstract_excerpt":"In this work, we explore a novel framework for control of complex systems called Primitive Imitation for Control PICO. The approach combines ideas from imitation learning, task decomposition, and novel task sequencing to generalize from demonstrations to new behaviors. Demonstrations are automatically decomposed into existing or missing sub-behaviors which allows the framework to identify novel behaviors while not duplicating existing behaviors. Generalization to new tasks is achieved through dynamic blending of behavior primitives. We evaluated the approach using demonstrations from two diffe"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2006.12551","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-06-22T18:23:46Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"919db75687224ed2745338c5a75937a886f68b562f15676c6432441a8643851e","abstract_canon_sha256":"fc85b281a62d458334bcf5cf870d9a532b6a96de7fb515f37333f7273634816c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:13:12.387021Z","signature_b64":"6DWSUTwe/LypNI1oflDJXlNargipiMMBKI0RmanjBblxVNxpTr49SXh5sXNl1OXgdfBrkiXl196rciOL+PDABQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dd1141f1da5a86f67555923eaffb26adc6bac3fa0898f884599c9412ab02c34d","last_reissued_at":"2026-07-05T01:13:12.386606Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:13:12.386606Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"PICO: Primitive Imitation for COntrol","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.AI","authors_text":"Bart L. Paulhamus, Chace Ashcraft, Corban G. Rivera, Edward W. Staley, Kapil D. Katyal, Katie M. Popek","submitted_at":"2020-06-22T18:23:46Z","abstract_excerpt":"In this work, we explore a novel framework for control of complex systems called Primitive Imitation for Control PICO. The approach combines ideas from imitation learning, task decomposition, and novel task sequencing to generalize from demonstrations to new behaviors. Demonstrations are automatically decomposed into existing or missing sub-behaviors which allows the framework to identify novel behaviors while not duplicating existing behaviors. Generalization to new tasks is achieved through dynamic blending of behavior primitives. We evaluated the approach using demonstrations from two diffe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.12551","kind":"arxiv","version":1},"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/2006.12551/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2006.12551","created_at":"2026-07-05T01:13:12.386665+00:00"},{"alias_kind":"arxiv_version","alias_value":"2006.12551v1","created_at":"2026-07-05T01:13:12.386665+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.12551","created_at":"2026-07-05T01:13:12.386665+00:00"},{"alias_kind":"pith_short_12","alias_value":"3UIUD4O2LKDP","created_at":"2026-07-05T01:13:12.386665+00:00"},{"alias_kind":"pith_short_16","alias_value":"3UIUD4O2LKDPM5KV","created_at":"2026-07-05T01:13:12.386665+00:00"},{"alias_kind":"pith_short_8","alias_value":"3UIUD4O2","created_at":"2026-07-05T01:13:12.386665+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/3UIUD4O2LKDPM5KVSI7K76ZGVX","json":"https://pith.science/pith/3UIUD4O2LKDPM5KVSI7K76ZGVX.json","graph_json":"https://pith.science/api/pith-number/3UIUD4O2LKDPM5KVSI7K76ZGVX/graph.json","events_json":"https://pith.science/api/pith-number/3UIUD4O2LKDPM5KVSI7K76ZGVX/events.json","paper":"https://pith.science/paper/3UIUD4O2"},"agent_actions":{"view_html":"https://pith.science/pith/3UIUD4O2LKDPM5KVSI7K76ZGVX","download_json":"https://pith.science/pith/3UIUD4O2LKDPM5KVSI7K76ZGVX.json","view_paper":"https://pith.science/paper/3UIUD4O2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2006.12551&json=true","fetch_graph":"https://pith.science/api/pith-number/3UIUD4O2LKDPM5KVSI7K76ZGVX/graph.json","fetch_events":"https://pith.science/api/pith-number/3UIUD4O2LKDPM5KVSI7K76ZGVX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3UIUD4O2LKDPM5KVSI7K76ZGVX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3UIUD4O2LKDPM5KVSI7K76ZGVX/action/storage_attestation","attest_author":"https://pith.science/pith/3UIUD4O2LKDPM5KVSI7K76ZGVX/action/author_attestation","sign_citation":"https://pith.science/pith/3UIUD4O2LKDPM5KVSI7K76ZGVX/action/citation_signature","submit_replication":"https://pith.science/pith/3UIUD4O2LKDPM5KVSI7K76ZGVX/action/replication_record"}},"created_at":"2026-07-05T01:13:12.386665+00:00","updated_at":"2026-07-05T01:13:12.386665+00:00"}