{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:UMM57G2SBK6CLOMXOPGFOXJT6L","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":"cf903b90cdce74ca043b6b2ae180e3d2bb284d80f26fd33fdb7864a6d813362a","cross_cats_sorted":["eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-05-07T15:54:33Z","title_canon_sha256":"403b0fb3826c9bb7e3d23a05b43dd96260f8fee894b1660ff472926056068141"},"schema_version":"1.0","source":{"id":"2205.03673","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.03673","created_at":"2026-07-05T04:26:03Z"},{"alias_kind":"arxiv_version","alias_value":"2205.03673v2","created_at":"2026-07-05T04:26:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.03673","created_at":"2026-07-05T04:26:03Z"},{"alias_kind":"pith_short_12","alias_value":"UMM57G2SBK6C","created_at":"2026-07-05T04:26:03Z"},{"alias_kind":"pith_short_16","alias_value":"UMM57G2SBK6CLOMX","created_at":"2026-07-05T04:26:03Z"},{"alias_kind":"pith_short_8","alias_value":"UMM57G2S","created_at":"2026-07-05T04:26:03Z"}],"graph_snapshots":[{"event_id":"sha256:6219ec2e57f4cb9a5540caeb0abb9af7133115c4fe8404dfb4eaf8a5a3633b9b","target":"graph","created_at":"2026-07-05T04:26:03Z","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/2205.03673/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"When applied to a real-world safety critical system like the power grid, general machine learning methods suffer from expensive training, non-physical solutions, and limited interpretability. To address these challenges for power grids, many recent works have explored the inclusion of grid physics (i.e., domain expertise) into their method design, primarily through including system constraints and technical limits, reducing search space and defining meaningful features in latent space. Yet, there is no general methodology to evaluate the practicality of these approaches in power grid tasks, an","authors_text":"Amritanshu Pandey, Larry Pileggi, Shimiao Li","cross_cats":["eess.SP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-05-07T15:54:33Z","title":"Towards Practical Physics-Informed ML Design and Evaluation for Power Grid"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.03673","kind":"arxiv","version":2},"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:ac41d2c0f349b2b878b6f93ae4c52cf4606b90665af6eb1f1009a549632ec821","target":"record","created_at":"2026-07-05T04:26:03Z","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":"cf903b90cdce74ca043b6b2ae180e3d2bb284d80f26fd33fdb7864a6d813362a","cross_cats_sorted":["eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-05-07T15:54:33Z","title_canon_sha256":"403b0fb3826c9bb7e3d23a05b43dd96260f8fee894b1660ff472926056068141"},"schema_version":"1.0","source":{"id":"2205.03673","kind":"arxiv","version":2}},"canonical_sha256":"a319df9b520abc25b99773cc575d33f2fb0de86f584a3bf2ec92de8755cd4684","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a319df9b520abc25b99773cc575d33f2fb0de86f584a3bf2ec92de8755cd4684","first_computed_at":"2026-07-05T04:26:03.541415Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:26:03.541415Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mUS+NBV4dpCjweO70IXczManhTz7PTPQVkmS041Ay+piGuecPpEYIikoiX1L0KJRUyrshZwHyxwyfa2G8aVVCA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:26:03.541824Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.03673","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ac41d2c0f349b2b878b6f93ae4c52cf4606b90665af6eb1f1009a549632ec821","sha256:6219ec2e57f4cb9a5540caeb0abb9af7133115c4fe8404dfb4eaf8a5a3633b9b"],"state_sha256":"bc703ba474b7b67b7e82bf1c0687fb5d998ff4dadb157249dca92a4814d36899"}