{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:DPKRXOGXTMEHTSMHSPJT5TCTAP","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":"3ce0c49b42a085d496f8f4f83d200a9afa0c5ed331b30b08de98c06c1b069fe2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-23T14:09:47Z","title_canon_sha256":"28abfd1d110dba2145760ae27064e5fec50dc7de11cfa127644b24ce7088c59b"},"schema_version":"1.0","source":{"id":"2111.11892","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.11892","created_at":"2026-07-05T04:19:48Z"},{"alias_kind":"arxiv_version","alias_value":"2111.11892v3","created_at":"2026-07-05T04:19:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.11892","created_at":"2026-07-05T04:19:48Z"},{"alias_kind":"pith_short_12","alias_value":"DPKRXOGXTMEH","created_at":"2026-07-05T04:19:48Z"},{"alias_kind":"pith_short_16","alias_value":"DPKRXOGXTMEHTSMH","created_at":"2026-07-05T04:19:48Z"},{"alias_kind":"pith_short_8","alias_value":"DPKRXOGX","created_at":"2026-07-05T04:19:48Z"}],"graph_snapshots":[{"event_id":"sha256:7dd09a20adaedaab568a9d7fb5536db9d8f69cb131bf521471fce0ce7c197113","target":"graph","created_at":"2026-07-05T04:19:48Z","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/2111.11892/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-Camera Multi-Object Tracking is currently drawing attention in the computer vision field due to its superior performance in real-world applications such as video surveillance in crowded scenes or in wide spaces. In this work, we propose a mathematically elegant multi-camera multiple object tracking approach based on a spatial-temporal lifted multicut formulation. Our model utilizes state-of-the-art tracklets produced by single-camera trackers as proposals. As these tracklets may contain ID-Switch errors, we refine them through a novel pre-clustering obtained from 3D geometry projections.","authors_text":"Bodo Rosenhahn, Daniel Sonntag, Duy M. H. Nguyen, Paul Swoboda, Roberto Henschel","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-23T14:09:47Z","title":"LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.11892","kind":"arxiv","version":3},"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:cf63acd3949a2551ff18bcd28fd4683ba91299c18261163d6e8713e67032c941","target":"record","created_at":"2026-07-05T04:19:48Z","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":"3ce0c49b42a085d496f8f4f83d200a9afa0c5ed331b30b08de98c06c1b069fe2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-23T14:09:47Z","title_canon_sha256":"28abfd1d110dba2145760ae27064e5fec50dc7de11cfa127644b24ce7088c59b"},"schema_version":"1.0","source":{"id":"2111.11892","kind":"arxiv","version":3}},"canonical_sha256":"1bd51bb8d79b0879c98793d33ecc5303e92e8e1e13c1ff238600c2ca71c9fd39","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1bd51bb8d79b0879c98793d33ecc5303e92e8e1e13c1ff238600c2ca71c9fd39","first_computed_at":"2026-07-05T04:19:48.592977Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:19:48.592977Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CbGe1cWMEI15l6MKkOJrniSYFHR71oKIcUPU/ERK/23PbtD3iOHqmraJZpN6raQJbGmiVN1HFrDN+6ShmSp3DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:19:48.593480Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.11892","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cf63acd3949a2551ff18bcd28fd4683ba91299c18261163d6e8713e67032c941","sha256:7dd09a20adaedaab568a9d7fb5536db9d8f69cb131bf521471fce0ce7c197113"],"state_sha256":"e6cedffb5be105b1991315941d9bc5574f26d6293eab9eb3ac6f59d09aa707e4"}