{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:KK7DAMNYWFO6RHPU6JPG3XWHPB","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":"3e2d39d69bca183a926a5d4a9d32b68d0f76b7a306bc9e644a50dff62695bd99","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-03-02T10:03:38Z","title_canon_sha256":"4a9a323ae69c197d0e2dbd3d88e3be781af006e8cca80374afa9d2e8764eb77e"},"schema_version":"1.0","source":{"id":"1503.00463","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1503.00463","created_at":"2026-05-18T02:25:54Z"},{"alias_kind":"arxiv_version","alias_value":"1503.00463v1","created_at":"2026-05-18T02:25:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1503.00463","created_at":"2026-05-18T02:25:54Z"},{"alias_kind":"pith_short_12","alias_value":"KK7DAMNYWFO6","created_at":"2026-05-18T12:29:29Z"},{"alias_kind":"pith_short_16","alias_value":"KK7DAMNYWFO6RHPU","created_at":"2026-05-18T12:29:29Z"},{"alias_kind":"pith_short_8","alias_value":"KK7DAMNY","created_at":"2026-05-18T12:29:29Z"}],"graph_snapshots":[{"event_id":"sha256:01df102b61c9a13c603ae680b0a6eb1ddfa632c231cffe4686fa2c86250016ba","target":"graph","created_at":"2026-05-18T02:25:54Z","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"},"paper":{"abstract_excerpt":"Data with features of volume, velocity, variety, and veracity are challenging traditional tools to extract useful analysis for decision-making. By integrating high-dimensional analysis with visualization, this paper develops a 3D power-map animation as an effective solution to the challenge. An architecture design, with detailed data processing procedure, is proposed to realize the integration. Two of the most important components in the architecture are presented: the Single-Ring Law for random matrices as solid mathematic foundation, and the proposed statistical index MSR as high-dimensional","authors_text":"Jianmo Ni, Longjian Piao, Qian Ai, Robert C.qiu, Xing He, Xinyi Xu, Yiting Xu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-03-02T10:03:38Z","title":"3D Power-map for Smart Grids---An Integration of High-dimensional Analysis and Visualization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1503.00463","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:a7a3b8eec2540434bd66bca32f96a9ce65963a556800a5e4c4ffda5baeb16a9d","target":"record","created_at":"2026-05-18T02:25:54Z","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":"3e2d39d69bca183a926a5d4a9d32b68d0f76b7a306bc9e644a50dff62695bd99","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-03-02T10:03:38Z","title_canon_sha256":"4a9a323ae69c197d0e2dbd3d88e3be781af006e8cca80374afa9d2e8764eb77e"},"schema_version":"1.0","source":{"id":"1503.00463","kind":"arxiv","version":1}},"canonical_sha256":"52be3031b8b15de89df4f25e6ddec7784ab3d5d4ee47ab6e65da55556c52dac9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"52be3031b8b15de89df4f25e6ddec7784ab3d5d4ee47ab6e65da55556c52dac9","first_computed_at":"2026-05-18T02:25:54.407853Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:25:54.407853Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TdP0w5DtXQe1cgHffOGoE7bfqXBo5rX/uWolG+JILvaJZFcSoE3EzQv8LtumyXKBmBWXkSl2uJU4+PxjQChFDA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:25:54.408405Z","signed_message":"canonical_sha256_bytes"},"source_id":"1503.00463","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a7a3b8eec2540434bd66bca32f96a9ce65963a556800a5e4c4ffda5baeb16a9d","sha256:01df102b61c9a13c603ae680b0a6eb1ddfa632c231cffe4686fa2c86250016ba"],"state_sha256":"45311db3d330809965414c9a7c12911359bc7c36032a2a024c2359a97c084743"}