{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:TSZ7PYMLTMOTCSR4IP2HPSW6VC","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":"0cff22744e725c8d02ddbf7b93df4c5f5c960a83d1c59396927eb5adf8d86fb9","cross_cats_sorted":["cs.GR","cs.LG","math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-28T09:54:06Z","title_canon_sha256":"14da64bef8671501fe3972757e55692ee12391e59915ac92e885ad7d351c713c"},"schema_version":"1.0","source":{"id":"2002.12623","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.12623","created_at":"2026-07-05T00:44:32Z"},{"alias_kind":"arxiv_version","alias_value":"2002.12623v1","created_at":"2026-07-05T00:44:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.12623","created_at":"2026-07-05T00:44:32Z"},{"alias_kind":"pith_short_12","alias_value":"TSZ7PYMLTMOT","created_at":"2026-07-05T00:44:32Z"},{"alias_kind":"pith_short_16","alias_value":"TSZ7PYMLTMOTCSR4","created_at":"2026-07-05T00:44:32Z"},{"alias_kind":"pith_short_8","alias_value":"TSZ7PYML","created_at":"2026-07-05T00:44:32Z"}],"graph_snapshots":[{"event_id":"sha256:287ec0a0799625cdd94547f9daf618e7df5911b4ee213fe9202464fb06fed98c","target":"graph","created_at":"2026-07-05T00:44:32Z","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/2002.12623/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a convex mixed-integer programming formulation for non-rigid shape matching. To this end, we propose a novel shape deformation model based on an efficient low-dimensional discrete model, so that finding a globally optimal solution is tractable in (most) practical cases. Our approach combines several favourable properties: it is independent of the initialisation, it is much more efficient to solve to global optimality compared to analogous quadratic assignment problem formulations, and it is highly flexible in terms of the variants of matching problems it can handle. Experimentally w","authors_text":"Christian Theobalt, Florian Bernard, Zeeshan Khan Suri","cross_cats":["cs.GR","cs.LG","math.OC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-28T09:54:06Z","title":"MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.12623","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":"sha256:315c12a06b7fba94d8e6a176415ca8b34d99ac4dcbbd80aee349e44099cabadb","target":"record","created_at":"2026-07-05T00:44:32Z","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":"0cff22744e725c8d02ddbf7b93df4c5f5c960a83d1c59396927eb5adf8d86fb9","cross_cats_sorted":["cs.GR","cs.LG","math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-28T09:54:06Z","title_canon_sha256":"14da64bef8671501fe3972757e55692ee12391e59915ac92e885ad7d351c713c"},"schema_version":"1.0","source":{"id":"2002.12623","kind":"arxiv","version":1}},"canonical_sha256":"9cb3f7e18b9b1d314a3c43f477cadea881535d5ee7bd2c526902bd2f94220f02","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9cb3f7e18b9b1d314a3c43f477cadea881535d5ee7bd2c526902bd2f94220f02","first_computed_at":"2026-07-05T00:44:32.175389Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:44:32.175389Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+8hA5A8HW/nF/Vz/LAmLHSYYeMPf7HHWxbi/Qou/zhZhO526+SKveDFrDSH1Wt2/SsMsAbc25M6b70s3+AKyCA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:44:32.175792Z","signed_message":"canonical_sha256_bytes"},"source_id":"2002.12623","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:315c12a06b7fba94d8e6a176415ca8b34d99ac4dcbbd80aee349e44099cabadb","sha256:287ec0a0799625cdd94547f9daf618e7df5911b4ee213fe9202464fb06fed98c"],"state_sha256":"83b6914592338719f3a5e585236994b55fd5fc03621223202e373c1072b6be7f"}