{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:GWBQW3635C4PBOLUA6WE534C2E","short_pith_number":"pith:GWBQW363","schema_version":"1.0","canonical_sha256":"35830b6fdbe8b8f0b97407ac4eef82d11d65eca87d893453b2d06beb39c24f41","source":{"kind":"arxiv","id":"1906.10815","version":1},"attestation_state":"computed","paper":{"title":"Nested Reinforcement Learning Based Control for Protective Relays in Power Distribution Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Dileep Kalathil, Dongqi Wu, Le Xie, Xiangtian Zheng","submitted_at":"2019-06-26T02:27:20Z","abstract_excerpt":"This paper envisions a new control architecture for the protective relay setting in future power distribution systems. With deepening penetration of distributed energy resources at the end users level, it has been recognized as a key engineering challenge to redesign the protective relays in the future distribution system. Conceptually, these protective relays are the discrete ON/OFF control devices at the end of each branch and node in a power network. The key technical difficulty lies in how to set up the relay control logic so that the protection could successfully differentiate heavy load "},"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":"1906.10815","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2019-06-26T02:27:20Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"3ec1a62a93a696c492e19245c9b2a3c2c38120663431eb7b4522e9339215da2a","abstract_canon_sha256":"3e28987442a16e1921c771afdefafd96bab9b0614db0344bd1514d9a54008d7c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:14.677008Z","signature_b64":"yXSQz0ETeABKmJmsiLc7Ji0sXvHc6dP81w57rQPHvHhzaR2MqsJ5zUhsxkDgoANGQe47vIwawUBowAlrUtgkCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"35830b6fdbe8b8f0b97407ac4eef82d11d65eca87d893453b2d06beb39c24f41","last_reissued_at":"2026-05-17T23:42:14.676243Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:14.676243Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Nested Reinforcement Learning Based Control for Protective Relays in Power Distribution Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Dileep Kalathil, Dongqi Wu, Le Xie, Xiangtian Zheng","submitted_at":"2019-06-26T02:27:20Z","abstract_excerpt":"This paper envisions a new control architecture for the protective relay setting in future power distribution systems. With deepening penetration of distributed energy resources at the end users level, it has been recognized as a key engineering challenge to redesign the protective relays in the future distribution system. Conceptually, these protective relays are the discrete ON/OFF control devices at the end of each branch and node in a power network. The key technical difficulty lies in how to set up the relay control logic so that the protection could successfully differentiate heavy load "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.10815","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":""},"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":"1906.10815","created_at":"2026-05-17T23:42:14.676377+00:00"},{"alias_kind":"arxiv_version","alias_value":"1906.10815v1","created_at":"2026-05-17T23:42:14.676377+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.10815","created_at":"2026-05-17T23:42:14.676377+00:00"},{"alias_kind":"pith_short_12","alias_value":"GWBQW3635C4P","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_16","alias_value":"GWBQW3635C4PBOLU","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_8","alias_value":"GWBQW363","created_at":"2026-05-18T12:33:18.533446+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/GWBQW3635C4PBOLUA6WE534C2E","json":"https://pith.science/pith/GWBQW3635C4PBOLUA6WE534C2E.json","graph_json":"https://pith.science/api/pith-number/GWBQW3635C4PBOLUA6WE534C2E/graph.json","events_json":"https://pith.science/api/pith-number/GWBQW3635C4PBOLUA6WE534C2E/events.json","paper":"https://pith.science/paper/GWBQW363"},"agent_actions":{"view_html":"https://pith.science/pith/GWBQW3635C4PBOLUA6WE534C2E","download_json":"https://pith.science/pith/GWBQW3635C4PBOLUA6WE534C2E.json","view_paper":"https://pith.science/paper/GWBQW363","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1906.10815&json=true","fetch_graph":"https://pith.science/api/pith-number/GWBQW3635C4PBOLUA6WE534C2E/graph.json","fetch_events":"https://pith.science/api/pith-number/GWBQW3635C4PBOLUA6WE534C2E/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GWBQW3635C4PBOLUA6WE534C2E/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GWBQW3635C4PBOLUA6WE534C2E/action/storage_attestation","attest_author":"https://pith.science/pith/GWBQW3635C4PBOLUA6WE534C2E/action/author_attestation","sign_citation":"https://pith.science/pith/GWBQW3635C4PBOLUA6WE534C2E/action/citation_signature","submit_replication":"https://pith.science/pith/GWBQW3635C4PBOLUA6WE534C2E/action/replication_record"}},"created_at":"2026-05-17T23:42:14.676377+00:00","updated_at":"2026-05-17T23:42:14.676377+00:00"}