{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:2JEQPL56CJF3WYSN7IKOKIHTUS","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":"987fa5389ee776a0c8aebc18f94f6d8221288896bfc35a05e4d26fe9794f8727","cross_cats_sorted":["cs.LG","cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-04-28T17:34:28Z","title_canon_sha256":"aa5e3124ffe478c18f456a2b197918d2808a8429b5e6dc1b8d2f5aa247f4da8e"},"schema_version":"1.0","source":{"id":"2104.13901","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.13901","created_at":"2026-07-05T02:36:05Z"},{"alias_kind":"arxiv_version","alias_value":"2104.13901v1","created_at":"2026-07-05T02:36:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.13901","created_at":"2026-07-05T02:36:05Z"},{"alias_kind":"pith_short_12","alias_value":"2JEQPL56CJF3","created_at":"2026-07-05T02:36:05Z"},{"alias_kind":"pith_short_16","alias_value":"2JEQPL56CJF3WYSN","created_at":"2026-07-05T02:36:05Z"},{"alias_kind":"pith_short_8","alias_value":"2JEQPL56","created_at":"2026-07-05T02:36:05Z"}],"graph_snapshots":[{"event_id":"sha256:7ab62be14b28c9ceca92a51f1f8baad4fa644be96c983a3dccabceaf6642cc56","target":"graph","created_at":"2026-07-05T02:36:05Z","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/2104.13901/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Symbolic control techniques aim to satisfy complex logic specifications. A critical step in these techniques is the construction of a symbolic (discrete) abstraction, a finite-state system whose behaviour mimics that of a given continuous-state system. The methods used to compute symbolic abstractions, however, require knowledge of an accurate closed-form model. To generalize them to systems with unknown dynamics, we present a new data-driven approach that does not require closed-form dynamics, instead relying only the ability to evaluate successors of each state under given inputs. To provide","authors_text":"Adnane Saoud, Alex Devonport, Murat Arcak","cross_cats":["cs.LG","cs.SY","eess.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-04-28T17:34:28Z","title":"Symbolic Abstractions From Data: A PAC Learning Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.13901","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":"sha256:3aed0da9c1750c49ae3291563c52373adbe0d06d882eb457dde0b591c1086432","target":"record","created_at":"2026-07-05T02:36:05Z","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":"987fa5389ee776a0c8aebc18f94f6d8221288896bfc35a05e4d26fe9794f8727","cross_cats_sorted":["cs.LG","cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-04-28T17:34:28Z","title_canon_sha256":"aa5e3124ffe478c18f456a2b197918d2808a8429b5e6dc1b8d2f5aa247f4da8e"},"schema_version":"1.0","source":{"id":"2104.13901","kind":"arxiv","version":1}},"canonical_sha256":"d24907afbe124bbb624dfa14e520f3a4aa32714423ca368c86dab637115e320e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d24907afbe124bbb624dfa14e520f3a4aa32714423ca368c86dab637115e320e","first_computed_at":"2026-07-05T02:36:05.237973Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:36:05.237973Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3Gaf+fEjsBpFR2I2H57H/uhUxKhNnBQCj0ECN//zqv9V2oQDM2HUd7bjb4SYBl1YHE1VR1eMUtxM+SFnBogDAg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:36:05.238327Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.13901","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3aed0da9c1750c49ae3291563c52373adbe0d06d882eb457dde0b591c1086432","sha256:7ab62be14b28c9ceca92a51f1f8baad4fa644be96c983a3dccabceaf6642cc56"],"state_sha256":"1a3d4f4e5b08bcc9fd595efda56eeae728289dd454288cb0ef801e38997f6616"}