{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:2OIIGHWYG3BPY7DZJWHPRWFPNO","short_pith_number":"pith:2OIIGHWY","schema_version":"1.0","canonical_sha256":"d390831ed836c2fc7c794d8ef8d8af6ba30ff2c1c9d48dc26eb271fb330b360d","source":{"kind":"arxiv","id":"2503.12864","version":1},"attestation_state":"computed","paper":{"title":"Robust Co-Optimization of Distribution Network Hardening and Mobile Resource Scheduling with Decision-Dependent Uncertainty","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Bo Zeng, Chen Chen, Donglai Ma, Qiaozhu Zhai, Qing-Shan Jia, Xiaohong Guan, Xiaoyu Cao","submitted_at":"2025-03-17T06:48:19Z","abstract_excerpt":"This paper studies the robust co-planning of proactive network hardening and mobile hydrogen energy resources (MHERs) scheduling, which is to enhance the resilience of power distribution network (PDN) against the disastrous events. A decision-dependent robust optimization model is formulated with min-max resilience constraint and discrete recourse structure, which helps achieve the load survivability target considering endogenous uncertainties. Different from the traditional model with a fixed uncertainty set, we adopt a dynamic representation that explicitly captures the endogenous uncertaint"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2503.12864","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2025-03-17T06:48:19Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"2f24dc7f052cd79d0480aab846d445b8fdbfadea6625e6aedd90315534721a8f","abstract_canon_sha256":"12b1cee07047a5ef335074296db81eeebebeef0bbabcd83008088ee18292cf6d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:32:48.111153Z","signature_b64":"sKZENL2wyjxqlzlB2YcdAKQ4sNcf08Ac46qvq3LNUjgYxBgsQ+80vlDnPhDhHo1KZhLmSxfnx91/Lg8a5L14AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d390831ed836c2fc7c794d8ef8d8af6ba30ff2c1c9d48dc26eb271fb330b360d","last_reissued_at":"2026-07-05T10:32:48.110537Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:32:48.110537Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Robust Co-Optimization of Distribution Network Hardening and Mobile Resource Scheduling with Decision-Dependent Uncertainty","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Bo Zeng, Chen Chen, Donglai Ma, Qiaozhu Zhai, Qing-Shan Jia, Xiaohong Guan, Xiaoyu Cao","submitted_at":"2025-03-17T06:48:19Z","abstract_excerpt":"This paper studies the robust co-planning of proactive network hardening and mobile hydrogen energy resources (MHERs) scheduling, which is to enhance the resilience of power distribution network (PDN) against the disastrous events. A decision-dependent robust optimization model is formulated with min-max resilience constraint and discrete recourse structure, which helps achieve the load survivability target considering endogenous uncertainties. Different from the traditional model with a fixed uncertainty set, we adopt a dynamic representation that explicitly captures the endogenous uncertaint"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.12864","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/2503.12864/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2503.12864","created_at":"2026-07-05T10:32:48.110614+00:00"},{"alias_kind":"arxiv_version","alias_value":"2503.12864v1","created_at":"2026-07-05T10:32:48.110614+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.12864","created_at":"2026-07-05T10:32:48.110614+00:00"},{"alias_kind":"pith_short_12","alias_value":"2OIIGHWYG3BP","created_at":"2026-07-05T10:32:48.110614+00:00"},{"alias_kind":"pith_short_16","alias_value":"2OIIGHWYG3BPY7DZ","created_at":"2026-07-05T10:32:48.110614+00:00"},{"alias_kind":"pith_short_8","alias_value":"2OIIGHWY","created_at":"2026-07-05T10:32:48.110614+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/2OIIGHWYG3BPY7DZJWHPRWFPNO","json":"https://pith.science/pith/2OIIGHWYG3BPY7DZJWHPRWFPNO.json","graph_json":"https://pith.science/api/pith-number/2OIIGHWYG3BPY7DZJWHPRWFPNO/graph.json","events_json":"https://pith.science/api/pith-number/2OIIGHWYG3BPY7DZJWHPRWFPNO/events.json","paper":"https://pith.science/paper/2OIIGHWY"},"agent_actions":{"view_html":"https://pith.science/pith/2OIIGHWYG3BPY7DZJWHPRWFPNO","download_json":"https://pith.science/pith/2OIIGHWYG3BPY7DZJWHPRWFPNO.json","view_paper":"https://pith.science/paper/2OIIGHWY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2503.12864&json=true","fetch_graph":"https://pith.science/api/pith-number/2OIIGHWYG3BPY7DZJWHPRWFPNO/graph.json","fetch_events":"https://pith.science/api/pith-number/2OIIGHWYG3BPY7DZJWHPRWFPNO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2OIIGHWYG3BPY7DZJWHPRWFPNO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2OIIGHWYG3BPY7DZJWHPRWFPNO/action/storage_attestation","attest_author":"https://pith.science/pith/2OIIGHWYG3BPY7DZJWHPRWFPNO/action/author_attestation","sign_citation":"https://pith.science/pith/2OIIGHWYG3BPY7DZJWHPRWFPNO/action/citation_signature","submit_replication":"https://pith.science/pith/2OIIGHWYG3BPY7DZJWHPRWFPNO/action/replication_record"}},"created_at":"2026-07-05T10:32:48.110614+00:00","updated_at":"2026-07-05T10:32:48.110614+00:00"}