{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:M6B2REWLGLEQE5MY7F4NNDY3B6","short_pith_number":"pith:M6B2REWL","schema_version":"1.0","canonical_sha256":"6783a892cb32c9027598f978d68f1b0f87a071799fa970f1e8e85a0fcd482c06","source":{"kind":"arxiv","id":"1912.09095","version":3},"attestation_state":"computed","paper":{"title":"Safe Adaptation with Multiplicative Uncertainties Using Robust Safe Set Algorithm","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Changliu Liu, Charles Noren, Weiye Zhao","submitted_at":"2019-12-19T10:00:28Z","abstract_excerpt":"Maintaining safety under adaptation has long been considered to be an important capability for autonomous systems. As these systems estimate and change the ego-model of the system dynamics, questions regarding how to develop safety guarantees for such systems continue to be of interest. We propose a novel robust safe control methodology that uses set-based safety constraints to make a robotic system with dynamical uncertainties safely adapt and operate in its environment. The method consists of designing a scalar energy function (safety index) for an adaptive system with parametric uncertainty"},"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":"1912.09095","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2019-12-19T10:00:28Z","cross_cats_sorted":[],"title_canon_sha256":"1a317a713d058c621031ae887bb3d68c39004004cb2c8534cf7447eca87e3a5a","abstract_canon_sha256":"a8e57f4de856c075835a423806b21a7670318071862860ba38090ed481240f7d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:11:52.394937Z","signature_b64":"VQ89N5S7CTwSOQ5zogl3y/FtkXdfZWUYE+8LxvZXG/NC/rkzLqslEeATAqiLORfFZDLD3RVuW4ReOJ3b9e5gBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6783a892cb32c9027598f978d68f1b0f87a071799fa970f1e8e85a0fcd482c06","last_reissued_at":"2026-07-05T03:11:52.394471Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:11:52.394471Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Safe Adaptation with Multiplicative Uncertainties Using Robust Safe Set Algorithm","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Changliu Liu, Charles Noren, Weiye Zhao","submitted_at":"2019-12-19T10:00:28Z","abstract_excerpt":"Maintaining safety under adaptation has long been considered to be an important capability for autonomous systems. As these systems estimate and change the ego-model of the system dynamics, questions regarding how to develop safety guarantees for such systems continue to be of interest. We propose a novel robust safe control methodology that uses set-based safety constraints to make a robotic system with dynamical uncertainties safely adapt and operate in its environment. The method consists of designing a scalar energy function (safety index) for an adaptive system with parametric uncertainty"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.09095","kind":"arxiv","version":3},"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/1912.09095/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":"1912.09095","created_at":"2026-07-05T03:11:52.394534+00:00"},{"alias_kind":"arxiv_version","alias_value":"1912.09095v3","created_at":"2026-07-05T03:11:52.394534+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.09095","created_at":"2026-07-05T03:11:52.394534+00:00"},{"alias_kind":"pith_short_12","alias_value":"M6B2REWLGLEQ","created_at":"2026-07-05T03:11:52.394534+00:00"},{"alias_kind":"pith_short_16","alias_value":"M6B2REWLGLEQE5MY","created_at":"2026-07-05T03:11:52.394534+00:00"},{"alias_kind":"pith_short_8","alias_value":"M6B2REWL","created_at":"2026-07-05T03:11:52.394534+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/M6B2REWLGLEQE5MY7F4NNDY3B6","json":"https://pith.science/pith/M6B2REWLGLEQE5MY7F4NNDY3B6.json","graph_json":"https://pith.science/api/pith-number/M6B2REWLGLEQE5MY7F4NNDY3B6/graph.json","events_json":"https://pith.science/api/pith-number/M6B2REWLGLEQE5MY7F4NNDY3B6/events.json","paper":"https://pith.science/paper/M6B2REWL"},"agent_actions":{"view_html":"https://pith.science/pith/M6B2REWLGLEQE5MY7F4NNDY3B6","download_json":"https://pith.science/pith/M6B2REWLGLEQE5MY7F4NNDY3B6.json","view_paper":"https://pith.science/paper/M6B2REWL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1912.09095&json=true","fetch_graph":"https://pith.science/api/pith-number/M6B2REWLGLEQE5MY7F4NNDY3B6/graph.json","fetch_events":"https://pith.science/api/pith-number/M6B2REWLGLEQE5MY7F4NNDY3B6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/M6B2REWLGLEQE5MY7F4NNDY3B6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/M6B2REWLGLEQE5MY7F4NNDY3B6/action/storage_attestation","attest_author":"https://pith.science/pith/M6B2REWLGLEQE5MY7F4NNDY3B6/action/author_attestation","sign_citation":"https://pith.science/pith/M6B2REWLGLEQE5MY7F4NNDY3B6/action/citation_signature","submit_replication":"https://pith.science/pith/M6B2REWLGLEQE5MY7F4NNDY3B6/action/replication_record"}},"created_at":"2026-07-05T03:11:52.394534+00:00","updated_at":"2026-07-05T03:11:52.394534+00:00"}