{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CTHJJ24BCSUCEBESK32MTAS54T","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":"88e396b697bd2b81e3ff3cb215438b824fc96c2bcfadeaf87d9a1563f0dd3c9a","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2024-12-17T14:22:44Z","title_canon_sha256":"af00ecd27695f121c9457cf0cf650f6bed69f71d2a81784a224e511393c6c19e"},"schema_version":"1.0","source":{"id":"2412.12944","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.12944","created_at":"2026-06-11T01:09:10Z"},{"alias_kind":"arxiv_version","alias_value":"2412.12944v2","created_at":"2026-06-11T01:09:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.12944","created_at":"2026-06-11T01:09:10Z"},{"alias_kind":"pith_short_12","alias_value":"CTHJJ24BCSUC","created_at":"2026-06-11T01:09:10Z"},{"alias_kind":"pith_short_16","alias_value":"CTHJJ24BCSUCEBES","created_at":"2026-06-11T01:09:10Z"},{"alias_kind":"pith_short_8","alias_value":"CTHJJ24B","created_at":"2026-06-11T01:09:10Z"}],"graph_snapshots":[{"event_id":"sha256:fc6c446a36632f42a4a6c17779c538480597ee0b361af2524cea67970f9b56bd","target":"graph","created_at":"2026-06-11T01:09:10Z","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/2412.12944/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Online optimisation studies the convergence of optimisation methods as the data embedded in the problem changes. Based on this idea, we propose a primal dual online method for nonlinear time-discrete inverse problems. We analyse the method through regret theory and demonstrate its performance in real-time monitoring of moving bodies in a fluid with Electrical Impedance Tomography (EIT). To do so, we also prove the second-order differentiability of the Complete Electrode Model (CEM) solution operator on $L^\\infty$.","authors_text":"Jyrki Jauhiainen, Neil Dizon, Tuomo Valkonen","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2024-12-17T14:22:44Z","title":"Online optimisation for dynamic electrical impedance tomography"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.12944","kind":"arxiv","version":2},"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:f32f484375db9a22243c20300b6492ffe2b037ebd0102ba3d41f31c5d37287f3","target":"record","created_at":"2026-06-11T01:09:10Z","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":"88e396b697bd2b81e3ff3cb215438b824fc96c2bcfadeaf87d9a1563f0dd3c9a","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2024-12-17T14:22:44Z","title_canon_sha256":"af00ecd27695f121c9457cf0cf650f6bed69f71d2a81784a224e511393c6c19e"},"schema_version":"1.0","source":{"id":"2412.12944","kind":"arxiv","version":2}},"canonical_sha256":"14ce94eb8114a822049256f4c9825de4ca224bc6f1bd351170bbb7802f38b669","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"14ce94eb8114a822049256f4c9825de4ca224bc6f1bd351170bbb7802f38b669","first_computed_at":"2026-06-11T01:09:10.705556Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-11T01:09:10.705556Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F0/XdxriVNzNx04nxXdND9l20H2YfTg0Ne26YcvDW5kso4ArvPs+CxK+JytS6FAN7Lsm8AqNp7dgmlkhOT2oAA==","signature_status":"signed_v1","signed_at":"2026-06-11T01:09:10.706654Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.12944","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f32f484375db9a22243c20300b6492ffe2b037ebd0102ba3d41f31c5d37287f3","sha256:fc6c446a36632f42a4a6c17779c538480597ee0b361af2524cea67970f9b56bd"],"state_sha256":"9bcd950d84cc187de16946841cee4c58fd070b04aa83d781caa24f8172d7cbda"}