{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:3FHTPTKQCFBAB2HCBVJAC6SO5F","short_pith_number":"pith:3FHTPTKQ","canonical_record":{"source":{"id":"1707.06671","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2017-07-20T18:35:22Z","cross_cats_sorted":[],"title_canon_sha256":"25fcea2a4b6dfd2a0e800632e8d855c6f39e8e362ddb3927fa46dca1e526412a","abstract_canon_sha256":"3b90bfc561fa1338244f795ba6e79afe6102eadf1a9043d4c63fc03fe560a3f9"},"schema_version":"1.0"},"canonical_sha256":"d94f37cd50114200e8e20d52017a4ee947e517bc2a07a693210a057fcfe9fae1","source":{"kind":"arxiv","id":"1707.06671","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.06671","created_at":"2026-05-18T00:39:52Z"},{"alias_kind":"arxiv_version","alias_value":"1707.06671v1","created_at":"2026-05-18T00:39:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.06671","created_at":"2026-05-18T00:39:52Z"},{"alias_kind":"pith_short_12","alias_value":"3FHTPTKQCFBA","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_16","alias_value":"3FHTPTKQCFBAB2HC","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_8","alias_value":"3FHTPTKQ","created_at":"2026-05-18T12:30:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:3FHTPTKQCFBAB2HCBVJAC6SO5F","target":"record","payload":{"canonical_record":{"source":{"id":"1707.06671","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2017-07-20T18:35:22Z","cross_cats_sorted":[],"title_canon_sha256":"25fcea2a4b6dfd2a0e800632e8d855c6f39e8e362ddb3927fa46dca1e526412a","abstract_canon_sha256":"3b90bfc561fa1338244f795ba6e79afe6102eadf1a9043d4c63fc03fe560a3f9"},"schema_version":"1.0"},"canonical_sha256":"d94f37cd50114200e8e20d52017a4ee947e517bc2a07a693210a057fcfe9fae1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:39:52.029387Z","signature_b64":"z6GOGLhUdjxa/ouISRn3WPzUxzEMHo2HXhEhltbEjubRYctVKQYWULuiTp1nOpO60sjf/pwj/VHq3PLBFLLJAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d94f37cd50114200e8e20d52017a4ee947e517bc2a07a693210a057fcfe9fae1","last_reissued_at":"2026-05-18T00:39:52.028781Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:39:52.028781Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1707.06671","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:39:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pI6Tt3clMn87GOKruxUKYv7fyB7bzP80vrUSmL6s3wFLkHP555W3w/fpoEoSBdEpfywpHtL1rQvgOUC5Kl4rDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T07:48:15.367460Z"},"content_sha256":"25e0e3aa97ccda94815124ae9fc286526ca722c13cd5f42a8639dee8872d14d2","schema_version":"1.0","event_id":"sha256:25e0e3aa97ccda94815124ae9fc286526ca722c13cd5f42a8639dee8872d14d2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:3FHTPTKQCFBAB2HCBVJAC6SO5F","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Voltage Analytics for Power Distribution Network Topology Verification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Guido Cavraro, Sriharsha Veeramachaneni, Vassilis Kekatos","submitted_at":"2017-07-20T18:35:22Z","abstract_excerpt":"Distribution grids constitute complex networks of lines often times reconfigured to minimize losses, balance loads, alleviate faults, or for maintenance purposes. Topology monitoring becomes a critical task for optimal grid scheduling. While synchrophasor installations are limited in low-voltage grids, utilities have an abundance of smart meter data at their disposal. In this context, a statistical learning framework is put forth for verifying single-phase grid structures using non-synchronized voltage data. The related maximum likelihood task boils down to minimizing a non-convex function ove"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.06671","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:39:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9xTI3y3AmvjaLSducHWZtB8/rz8edM15OhZhlhCIk2wKC+2ZBkrsfflqXpVB2YkjF3u1cL8pJPXTvqmFs1/DAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T07:48:15.367807Z"},"content_sha256":"29ffefcc8d2fc8d99a58b6b1c836ad1b407234a3c7f98d151346c9ba2a8cbd42","schema_version":"1.0","event_id":"sha256:29ffefcc8d2fc8d99a58b6b1c836ad1b407234a3c7f98d151346c9ba2a8cbd42"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3FHTPTKQCFBAB2HCBVJAC6SO5F/bundle.json","state_url":"https://pith.science/pith/3FHTPTKQCFBAB2HCBVJAC6SO5F/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3FHTPTKQCFBAB2HCBVJAC6SO5F/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-02T07:48:15Z","links":{"resolver":"https://pith.science/pith/3FHTPTKQCFBAB2HCBVJAC6SO5F","bundle":"https://pith.science/pith/3FHTPTKQCFBAB2HCBVJAC6SO5F/bundle.json","state":"https://pith.science/pith/3FHTPTKQCFBAB2HCBVJAC6SO5F/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3FHTPTKQCFBAB2HCBVJAC6SO5F/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:3FHTPTKQCFBAB2HCBVJAC6SO5F","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":"3b90bfc561fa1338244f795ba6e79afe6102eadf1a9043d4c63fc03fe560a3f9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2017-07-20T18:35:22Z","title_canon_sha256":"25fcea2a4b6dfd2a0e800632e8d855c6f39e8e362ddb3927fa46dca1e526412a"},"schema_version":"1.0","source":{"id":"1707.06671","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.06671","created_at":"2026-05-18T00:39:52Z"},{"alias_kind":"arxiv_version","alias_value":"1707.06671v1","created_at":"2026-05-18T00:39:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.06671","created_at":"2026-05-18T00:39:52Z"},{"alias_kind":"pith_short_12","alias_value":"3FHTPTKQCFBA","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_16","alias_value":"3FHTPTKQCFBAB2HC","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_8","alias_value":"3FHTPTKQ","created_at":"2026-05-18T12:30:58Z"}],"graph_snapshots":[{"event_id":"sha256:29ffefcc8d2fc8d99a58b6b1c836ad1b407234a3c7f98d151346c9ba2a8cbd42","target":"graph","created_at":"2026-05-18T00:39:52Z","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":"Distribution grids constitute complex networks of lines often times reconfigured to minimize losses, balance loads, alleviate faults, or for maintenance purposes. Topology monitoring becomes a critical task for optimal grid scheduling. While synchrophasor installations are limited in low-voltage grids, utilities have an abundance of smart meter data at their disposal. In this context, a statistical learning framework is put forth for verifying single-phase grid structures using non-synchronized voltage data. The related maximum likelihood task boils down to minimizing a non-convex function ove","authors_text":"Guido Cavraro, Sriharsha Veeramachaneni, Vassilis Kekatos","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2017-07-20T18:35:22Z","title":"Voltage Analytics for Power Distribution Network Topology Verification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.06671","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":"sha256:25e0e3aa97ccda94815124ae9fc286526ca722c13cd5f42a8639dee8872d14d2","target":"record","created_at":"2026-05-18T00:39:52Z","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":"3b90bfc561fa1338244f795ba6e79afe6102eadf1a9043d4c63fc03fe560a3f9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2017-07-20T18:35:22Z","title_canon_sha256":"25fcea2a4b6dfd2a0e800632e8d855c6f39e8e362ddb3927fa46dca1e526412a"},"schema_version":"1.0","source":{"id":"1707.06671","kind":"arxiv","version":1}},"canonical_sha256":"d94f37cd50114200e8e20d52017a4ee947e517bc2a07a693210a057fcfe9fae1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d94f37cd50114200e8e20d52017a4ee947e517bc2a07a693210a057fcfe9fae1","first_computed_at":"2026-05-18T00:39:52.028781Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:39:52.028781Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"z6GOGLhUdjxa/ouISRn3WPzUxzEMHo2HXhEhltbEjubRYctVKQYWULuiTp1nOpO60sjf/pwj/VHq3PLBFLLJAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:39:52.029387Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.06671","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:25e0e3aa97ccda94815124ae9fc286526ca722c13cd5f42a8639dee8872d14d2","sha256:29ffefcc8d2fc8d99a58b6b1c836ad1b407234a3c7f98d151346c9ba2a8cbd42"],"state_sha256":"470f4f703e065fda37b99c924d96b12f2a108c1400f5d7e8d57cf96e159efcf0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yVl+42HBL0X7rCY98ew2m9EpzCeziCbPp/oKQoqWM4Z2ejVis48I7xEA7vk0hf7novELc8AfFNT4DGkHwN9KAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T07:48:15.369800Z","bundle_sha256":"1b91c5ce0799e95ad0996887a7153be09175968b18eaa2053bb0074397ff77f7"}}