{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:Z6MIPM4RKCS52HFJXJE36QGWN6","short_pith_number":"pith:Z6MIPM4R","canonical_record":{"source":{"id":"2607.07250","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2026-07-08T10:32:53Z","cross_cats_sorted":[],"title_canon_sha256":"cd8b705179fed79453281aadae10709147b59f5ac141d32385a93c59bb5ab64d","abstract_canon_sha256":"0750f656c042e78713ed02c43b13d60b5fce0eda0187cef95a0e92a1fc4ac746"},"schema_version":"1.0"},"canonical_sha256":"cf9887b39150a5dd1ca9ba49bf40d66f99c6406f183728712cc756256c1d06b2","source":{"kind":"arxiv","id":"2607.07250","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.07250","created_at":"2026-07-09T01:20:18Z"},{"alias_kind":"arxiv_version","alias_value":"2607.07250v1","created_at":"2026-07-09T01:20:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.07250","created_at":"2026-07-09T01:20:18Z"},{"alias_kind":"pith_short_12","alias_value":"Z6MIPM4RKCS5","created_at":"2026-07-09T01:20:18Z"},{"alias_kind":"pith_short_16","alias_value":"Z6MIPM4RKCS52HFJ","created_at":"2026-07-09T01:20:18Z"},{"alias_kind":"pith_short_8","alias_value":"Z6MIPM4R","created_at":"2026-07-09T01:20:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:Z6MIPM4RKCS52HFJXJE36QGWN6","target":"record","payload":{"canonical_record":{"source":{"id":"2607.07250","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2026-07-08T10:32:53Z","cross_cats_sorted":[],"title_canon_sha256":"cd8b705179fed79453281aadae10709147b59f5ac141d32385a93c59bb5ab64d","abstract_canon_sha256":"0750f656c042e78713ed02c43b13d60b5fce0eda0187cef95a0e92a1fc4ac746"},"schema_version":"1.0"},"canonical_sha256":"cf9887b39150a5dd1ca9ba49bf40d66f99c6406f183728712cc756256c1d06b2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-09T01:20:18.857035Z","signature_b64":"rGl+/uUlYeiUAPhFZQv6LrcTwGaV3IsaKiMt/lxsmfBZf5/qNZysolv1oNiaw/uBwuAUR9uY1Iilwmu0b676AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cf9887b39150a5dd1ca9ba49bf40d66f99c6406f183728712cc756256c1d06b2","last_reissued_at":"2026-07-09T01:20:18.856621Z","signature_status":"signed_v1","first_computed_at":"2026-07-09T01:20:18.856621Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.07250","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":"2026-07-09T01:20:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+4wM5NL67zic7qGUYBMMxpp7FNIqt70PK7DmjClHJ717yP3v5OWeOre7bopdcDJTn3ebq16oXuJi5zhPAX3KDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-25T04:48:00.208289Z"},"content_sha256":"8be5503c4f1afe696a9db44e0276139baf8b29e7560fac5f563c5a4835a6f305","schema_version":"1.0","event_id":"sha256:8be5503c4f1afe696a9db44e0276139baf8b29e7560fac5f563c5a4835a6f305"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:Z6MIPM4RKCS52HFJXJE36QGWN6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Mo-Yuen Chow, Xinyi Ma, Yike Guo, Yiyan Li, Zhenghao Zhou, Zheng Yan","submitted_at":"2026-07-08T10:32:53Z","abstract_excerpt":"High-quality system measurement data is critical for power distribution system operation. As deep generative models (e.g., GAN, Diffusion, etc.) have been widely studied to solve the missing data restoration problem to enhance the data quality, their results may look \"realistic\" but not sufficiently \"accurate\" due to lacking physical guarantees. To address this limitation, a two-stage physics-guided framework, Flow-PIN, is proposed in this paper for system-wide multivariate profile inpainting. The first stage employs a conditional flow matching model, conditioned on topological and correlation"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.07250","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.07250/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-09T01:20:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"27p8V2rtyXouj1SYGUPcDujvzf2vBTISGcQ1D1FHc05QWP5NeBRgG1wc27KdgfznMa2dj+F6KdWAb+ckbufjAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-25T04:48:00.208690Z"},"content_sha256":"b4e8dabceb012150200aefda6248b9a7cf80cbfa0489904a4b3827bbabed8001","schema_version":"1.0","event_id":"sha256:b4e8dabceb012150200aefda6248b9a7cf80cbfa0489904a4b3827bbabed8001"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:Z6MIPM4RKCS52HFJXJE36QGWN6","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1038/s41597-) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Y. Chen, H. Xie, W. Huang, and P. Li, “A Large - Scale Dataset of Distributed Renewable Energy Scenarios on the IEEE - 33 Bus Network,” Sci Data, vol. 13, no. 1, p. 146, Dec. 2025, doi: 10.1038/s41597 - 025 - 06464 - w","arxiv_id":"2607.07250","detector":"doi_compliance","evidence":{"ref_index":21,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Y. Chen, H. Xie, W. Huang, and P. Li, “A Large - Scale Dataset of Distributed Renewable Energy Scenarios on the IEEE - 33 Bus Network,” Sci Data, vol. 13, no. 1, p. 146, Dec. 2025, doi: 10.1038/s41597 - 025 - 06464 - w","reconstructed_doi":"10.1038/s41597-"},"severity":"advisory","ref_index":21,"audited_at":"2026-07-09T16:28:54.948918Z","event_type":"pith.integrity.v1","detected_doi":"10.1038/s41597-","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"11a42545fbac7d91961970c8f28d7faba1f5c643183cd617232b5cae2931315d","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":9938,"payload_sha256":"e104a9a4481da03c5a2de1e93d43f43cef0faaf1714111591d6308f300606de4","signature_b64":"ja/aC4A8SBKIlcgBEqc5W0gu+HxcnA7d8XlsPA3EXsBMDufpbMDV3O4X62TbAkZbkY5hx/zKJsUTUEq0i+XqBg==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-09T16:32:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HWcup8D56lD2RCyco6WIP5dB+O3nu00HpctWx4gF0mxQ4w1A8vvpCBDDPGldjFP41E+8fjLTFdV7Y7mW4vBcBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-25T04:48:00.210366Z"},"content_sha256":"a81893cc51834423ed3869656187075b945bcaf24398b4f9068d243e1515bef7","schema_version":"1.0","event_id":"sha256:a81893cc51834423ed3869656187075b945bcaf24398b4f9068d243e1515bef7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Z6MIPM4RKCS52HFJXJE36QGWN6/bundle.json","state_url":"https://pith.science/pith/Z6MIPM4RKCS52HFJXJE36QGWN6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Z6MIPM4RKCS52HFJXJE36QGWN6/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":"2026-07-25T04:48:00Z","links":{"resolver":"https://pith.science/pith/Z6MIPM4RKCS52HFJXJE36QGWN6","bundle":"https://pith.science/pith/Z6MIPM4RKCS52HFJXJE36QGWN6/bundle.json","state":"https://pith.science/pith/Z6MIPM4RKCS52HFJXJE36QGWN6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Z6MIPM4RKCS52HFJXJE36QGWN6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:Z6MIPM4RKCS52HFJXJE36QGWN6","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"0750f656c042e78713ed02c43b13d60b5fce0eda0187cef95a0e92a1fc4ac746","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2026-07-08T10:32:53Z","title_canon_sha256":"cd8b705179fed79453281aadae10709147b59f5ac141d32385a93c59bb5ab64d"},"schema_version":"1.0","source":{"id":"2607.07250","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.07250","created_at":"2026-07-09T01:20:18Z"},{"alias_kind":"arxiv_version","alias_value":"2607.07250v1","created_at":"2026-07-09T01:20:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.07250","created_at":"2026-07-09T01:20:18Z"},{"alias_kind":"pith_short_12","alias_value":"Z6MIPM4RKCS5","created_at":"2026-07-09T01:20:18Z"},{"alias_kind":"pith_short_16","alias_value":"Z6MIPM4RKCS52HFJ","created_at":"2026-07-09T01:20:18Z"},{"alias_kind":"pith_short_8","alias_value":"Z6MIPM4R","created_at":"2026-07-09T01:20:18Z"}],"graph_snapshots":[{"event_id":"sha256:b4e8dabceb012150200aefda6248b9a7cf80cbfa0489904a4b3827bbabed8001","target":"graph","created_at":"2026-07-09T01:20:18Z","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/2607.07250/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"High-quality system measurement data is critical for power distribution system operation. As deep generative models (e.g., GAN, Diffusion, etc.) have been widely studied to solve the missing data restoration problem to enhance the data quality, their results may look \"realistic\" but not sufficiently \"accurate\" due to lacking physical guarantees. To address this limitation, a two-stage physics-guided framework, Flow-PIN, is proposed in this paper for system-wide multivariate profile inpainting. The first stage employs a conditional flow matching model, conditioned on topological and correlation","authors_text":"Mo-Yuen Chow, Xinyi Ma, Yike Guo, Yiyan Li, Zhenghao Zhou, Zheng Yan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2026-07-08T10:32:53Z","title":"Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.07250","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":"sha256:8be5503c4f1afe696a9db44e0276139baf8b29e7560fac5f563c5a4835a6f305","target":"record","created_at":"2026-07-09T01:20:18Z","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":"0750f656c042e78713ed02c43b13d60b5fce0eda0187cef95a0e92a1fc4ac746","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2026-07-08T10:32:53Z","title_canon_sha256":"cd8b705179fed79453281aadae10709147b59f5ac141d32385a93c59bb5ab64d"},"schema_version":"1.0","source":{"id":"2607.07250","kind":"arxiv","version":1}},"canonical_sha256":"cf9887b39150a5dd1ca9ba49bf40d66f99c6406f183728712cc756256c1d06b2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cf9887b39150a5dd1ca9ba49bf40d66f99c6406f183728712cc756256c1d06b2","first_computed_at":"2026-07-09T01:20:18.856621Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-09T01:20:18.856621Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rGl+/uUlYeiUAPhFZQv6LrcTwGaV3IsaKiMt/lxsmfBZf5/qNZysolv1oNiaw/uBwuAUR9uY1Iilwmu0b676AQ==","signature_status":"signed_v1","signed_at":"2026-07-09T01:20:18.857035Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.07250","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8be5503c4f1afe696a9db44e0276139baf8b29e7560fac5f563c5a4835a6f305","sha256:b4e8dabceb012150200aefda6248b9a7cf80cbfa0489904a4b3827bbabed8001","sha256:a81893cc51834423ed3869656187075b945bcaf24398b4f9068d243e1515bef7"],"state_sha256":"b29a0ce43b79c9e99bc03dae790e942b7198e487e1faf983d59bf05cb68b36b5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h+VRvHP7IS/O6jpWRBGPoPUNohqcApacL34tS7t5p8dSfSG2kN6m2eD3nQiSrYEKZYmJRQ11mr6EFocjjfscCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-25T04:48:00.211801Z","bundle_sha256":"cc82e96cce8082489fc511258172ea37de1a2124620e0bf8bd28a0f22c7d6067"}}