{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:ANVUPFNSZJOVKZ53MPHLSLLFPR","short_pith_number":"pith:ANVUPFNS","canonical_record":{"source":{"id":"1703.04170","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-12T20:30:56Z","cross_cats_sorted":[],"title_canon_sha256":"aaafa95d14f1784fe1c68756b3df167c87be31c637b5bd9d022855018d77c760","abstract_canon_sha256":"bdfe51bf323c24886a2fb9827758e1e21d3f094513b3d71f2a2d1e1cf7482df2"},"schema_version":"1.0"},"canonical_sha256":"036b4795b2ca5d5567bb63ceb92d657c6123585400a765d68954bb57619f4b89","source":{"kind":"arxiv","id":"1703.04170","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.04170","created_at":"2026-05-18T00:48:49Z"},{"alias_kind":"arxiv_version","alias_value":"1703.04170v1","created_at":"2026-05-18T00:48:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.04170","created_at":"2026-05-18T00:48:49Z"},{"alias_kind":"pith_short_12","alias_value":"ANVUPFNSZJOV","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_16","alias_value":"ANVUPFNSZJOVKZ53","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_8","alias_value":"ANVUPFNS","created_at":"2026-05-18T12:31:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:ANVUPFNSZJOVKZ53MPHLSLLFPR","target":"record","payload":{"canonical_record":{"source":{"id":"1703.04170","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-12T20:30:56Z","cross_cats_sorted":[],"title_canon_sha256":"aaafa95d14f1784fe1c68756b3df167c87be31c637b5bd9d022855018d77c760","abstract_canon_sha256":"bdfe51bf323c24886a2fb9827758e1e21d3f094513b3d71f2a2d1e1cf7482df2"},"schema_version":"1.0"},"canonical_sha256":"036b4795b2ca5d5567bb63ceb92d657c6123585400a765d68954bb57619f4b89","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:48:49.583169Z","signature_b64":"vNSmXNfBnl7KBKiGMDJCH/5Inc41X8DvGtYbqs4Vsv7vKMYl8kBnf0kpQlrrQ+Sp5KNeLmQHB/Y2k09d5bQXAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"036b4795b2ca5d5567bb63ceb92d657c6123585400a765d68954bb57619f4b89","last_reissued_at":"2026-05-18T00:48:49.582385Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:48:49.582385Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1703.04170","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":"2026-05-18T00:48:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KF7wJE8SiaFCy2P+WGLZOBzd0I1vv8N1/aVmft9uqVOd8Nl5gc4lw+2k6JdvcXMQGuECQOFvfVEqP+Upi7dDDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T00:40:57.900802Z"},"content_sha256":"06853d7a3498fc04f857e81c6456b1c39e582bd229796af13f131ae130ec9033","schema_version":"1.0","event_id":"sha256:06853d7a3498fc04f857e81c6456b1c39e582bd229796af13f131ae130ec9033"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:ANVUPFNSZJOVKZ53MPHLSLLFPR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Leak Event Identification in Water Systems Using High Order CRF","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Qing Han, Wentao Zhu, Yang Shi","submitted_at":"2017-03-12T20:30:56Z","abstract_excerpt":"Today, detection of anomalous events in civil infrastructures (e.g. water pipe breaks and leaks) is time consuming and often takes hours or days. Pipe breakage as one of the most frequent types of failure of water networks often causes community disruptions ranging from temporary interruptions in services to extended loss of business and relocation of residents. In this project, we design and implement a two-phase approach for leak event identification, which leverages dynamic data from multiple information sources including IoT sensing data (pressure values and/or flow rates), geophysical dat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.04170","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":"2026-05-18T00:48:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tXUTygzLYKayWioAxaRwawV9n/A92/YdL8ntynQo7JWBBeddZ5+2TZszzGZpurOiHMIxuV1htcQX/A83Kx7MCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T00:40:57.901153Z"},"content_sha256":"8bb61cd566a1fcf5019460d6659e44fa7d208ea046ca1e0917ee5a9dc28994c5","schema_version":"1.0","event_id":"sha256:8bb61cd566a1fcf5019460d6659e44fa7d208ea046ca1e0917ee5a9dc28994c5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ANVUPFNSZJOVKZ53MPHLSLLFPR/bundle.json","state_url":"https://pith.science/pith/ANVUPFNSZJOVKZ53MPHLSLLFPR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ANVUPFNSZJOVKZ53MPHLSLLFPR/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":"2026-06-05T00:40:57Z","links":{"resolver":"https://pith.science/pith/ANVUPFNSZJOVKZ53MPHLSLLFPR","bundle":"https://pith.science/pith/ANVUPFNSZJOVKZ53MPHLSLLFPR/bundle.json","state":"https://pith.science/pith/ANVUPFNSZJOVKZ53MPHLSLLFPR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ANVUPFNSZJOVKZ53MPHLSLLFPR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:ANVUPFNSZJOVKZ53MPHLSLLFPR","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":"bdfe51bf323c24886a2fb9827758e1e21d3f094513b3d71f2a2d1e1cf7482df2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-12T20:30:56Z","title_canon_sha256":"aaafa95d14f1784fe1c68756b3df167c87be31c637b5bd9d022855018d77c760"},"schema_version":"1.0","source":{"id":"1703.04170","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.04170","created_at":"2026-05-18T00:48:49Z"},{"alias_kind":"arxiv_version","alias_value":"1703.04170v1","created_at":"2026-05-18T00:48:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.04170","created_at":"2026-05-18T00:48:49Z"},{"alias_kind":"pith_short_12","alias_value":"ANVUPFNSZJOV","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_16","alias_value":"ANVUPFNSZJOVKZ53","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_8","alias_value":"ANVUPFNS","created_at":"2026-05-18T12:31:05Z"}],"graph_snapshots":[{"event_id":"sha256:8bb61cd566a1fcf5019460d6659e44fa7d208ea046ca1e0917ee5a9dc28994c5","target":"graph","created_at":"2026-05-18T00:48:49Z","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":"Today, detection of anomalous events in civil infrastructures (e.g. water pipe breaks and leaks) is time consuming and often takes hours or days. Pipe breakage as one of the most frequent types of failure of water networks often causes community disruptions ranging from temporary interruptions in services to extended loss of business and relocation of residents. In this project, we design and implement a two-phase approach for leak event identification, which leverages dynamic data from multiple information sources including IoT sensing data (pressure values and/or flow rates), geophysical dat","authors_text":"Qing Han, Wentao Zhu, Yang Shi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-12T20:30:56Z","title":"Leak Event Identification in Water Systems Using High Order CRF"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.04170","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":"sha256:06853d7a3498fc04f857e81c6456b1c39e582bd229796af13f131ae130ec9033","target":"record","created_at":"2026-05-18T00:48:49Z","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":"bdfe51bf323c24886a2fb9827758e1e21d3f094513b3d71f2a2d1e1cf7482df2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-12T20:30:56Z","title_canon_sha256":"aaafa95d14f1784fe1c68756b3df167c87be31c637b5bd9d022855018d77c760"},"schema_version":"1.0","source":{"id":"1703.04170","kind":"arxiv","version":1}},"canonical_sha256":"036b4795b2ca5d5567bb63ceb92d657c6123585400a765d68954bb57619f4b89","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"036b4795b2ca5d5567bb63ceb92d657c6123585400a765d68954bb57619f4b89","first_computed_at":"2026-05-18T00:48:49.582385Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:48:49.582385Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vNSmXNfBnl7KBKiGMDJCH/5Inc41X8DvGtYbqs4Vsv7vKMYl8kBnf0kpQlrrQ+Sp5KNeLmQHB/Y2k09d5bQXAA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:48:49.583169Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.04170","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:06853d7a3498fc04f857e81c6456b1c39e582bd229796af13f131ae130ec9033","sha256:8bb61cd566a1fcf5019460d6659e44fa7d208ea046ca1e0917ee5a9dc28994c5"],"state_sha256":"81f29a9a8e58584b97d04609cd6cdeb5282657a9f4200670e7d130c4f07f0da0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+oVXkA4dCnaSTnYB1FggJKoVTDX2WbglQOKvYXU8XRCV+FnrARBQ6Lsf2Z15sXAar6GPjjp/umOatfqc+RvxDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T00:40:57.903222Z","bundle_sha256":"8ab41aca4df5e967d576daeea591205e8473f0928fd4b06aa00ebd77f9800564"}}