{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5J77GRWFGLBHEVSRGQI2SQ4PZ7","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":"af1d368544efa8ed868554006dc615c784757b13a1712f520a7fc138970df245","cross_cats_sorted":["cs.AI","cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-27T04:34:31Z","title_canon_sha256":"2a7640a8e365a2bdec6d3e4b9fbe67d8f44c70915fff8d3fad098ba3df1817db"},"schema_version":"1.0","source":{"id":"2411.18050","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.18050","created_at":"2026-07-05T09:41:11Z"},{"alias_kind":"arxiv_version","alias_value":"2411.18050v1","created_at":"2026-07-05T09:41:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.18050","created_at":"2026-07-05T09:41:11Z"},{"alias_kind":"pith_short_12","alias_value":"5J77GRWFGLBH","created_at":"2026-07-05T09:41:11Z"},{"alias_kind":"pith_short_16","alias_value":"5J77GRWFGLBHEVSR","created_at":"2026-07-05T09:41:11Z"},{"alias_kind":"pith_short_8","alias_value":"5J77GRWF","created_at":"2026-07-05T09:41:11Z"}],"graph_snapshots":[{"event_id":"sha256:da7df6012f84daa9cb2b859093f57f75cdba26a73adf07178698668bbade3818","target":"graph","created_at":"2026-07-05T09:41:11Z","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/2411.18050/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Electricity grid's resiliency and climate change strongly impact one another due to an array of technical and policy-related decisions that impact both. This paper introduces a physics-informed machine learning-based framework to enhance grid's resiliency. Specifically, when encountering disruptive events, this paper designs remedial control actions to prevent blackouts. The proposed Physics-Guided Reinforcement Learning (PG-RL) framework determines effective real-time remedial line-switching actions, considering their impact on power balance, system security, and grid reliability. To identify","authors_text":"Ali Tajer, Anmol Dwivedi, Nurali Virani, Santiago Paternain","cross_cats":["cs.AI","cs.SY","eess.SY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-27T04:34:31Z","title":"RL for Mitigating Cascading Failures: Targeted Exploration via Sensitivity Factors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.18050","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":"sha256:4ab4892dd06ee5c1bd4678b5f21e01670d4af625a8ce90aeab82bb0d21f22a5c","target":"record","created_at":"2026-07-05T09:41:11Z","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":"af1d368544efa8ed868554006dc615c784757b13a1712f520a7fc138970df245","cross_cats_sorted":["cs.AI","cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-27T04:34:31Z","title_canon_sha256":"2a7640a8e365a2bdec6d3e4b9fbe67d8f44c70915fff8d3fad098ba3df1817db"},"schema_version":"1.0","source":{"id":"2411.18050","kind":"arxiv","version":1}},"canonical_sha256":"ea7ff346c532c27256513411a9438fcff5188b5c707c0a7331ee5eee80d838a1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ea7ff346c532c27256513411a9438fcff5188b5c707c0a7331ee5eee80d838a1","first_computed_at":"2026-07-05T09:41:11.128359Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:41:11.128359Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DcNifvHTCr0KH8PS6YhN7CxBZPJ5KGJkyR+Yz+PXfGhR/XdY4Teo7edNLiTwDUa9TofPf/jteHV2n5n3pEoACg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:41:11.128827Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.18050","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4ab4892dd06ee5c1bd4678b5f21e01670d4af625a8ce90aeab82bb0d21f22a5c","sha256:da7df6012f84daa9cb2b859093f57f75cdba26a73adf07178698668bbade3818"],"state_sha256":"ff0a42c44f58cbf41474d50805b61bb261371836684e113d7aa0b7b7a3c76413"}