{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:Y2QSES5PRGHCCRDME35MDJXT7D","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":"d020b4ca3e13781a30f68a250978ae83cd7f578846e90402256602cdec6bad3f","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-26T06:52:13Z","title_canon_sha256":"c1b0d7133afc2ee2f57b3eb31f72bfe9a4bea656e451a37dac5be5d0241c4e3c"},"schema_version":"1.0","source":{"id":"1605.08163","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.08163","created_at":"2026-07-05T01:09:26Z"},{"alias_kind":"arxiv_version","alias_value":"1605.08163v6","created_at":"2026-07-05T01:09:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.08163","created_at":"2026-07-05T01:09:26Z"},{"alias_kind":"pith_short_12","alias_value":"Y2QSES5PRGHC","created_at":"2026-07-05T01:09:26Z"},{"alias_kind":"pith_short_16","alias_value":"Y2QSES5PRGHCCRDM","created_at":"2026-07-05T01:09:26Z"},{"alias_kind":"pith_short_8","alias_value":"Y2QSES5P","created_at":"2026-07-05T01:09:26Z"}],"graph_snapshots":[{"event_id":"sha256:0cd56d8762e1e05efc5243cab47bf562ed399e72cc749d503b2431c44c6c8ab4","target":"graph","created_at":"2026-07-05T01:09:26Z","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/1605.08163/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a solution of the multiple target tracking (MTT) problem based on sets of trajectories and the random finite set framework. A full Bayesian approach to MTT should characterise the distribution of the trajectories given the measurements, as it contains all information about the trajectories. We attain this by considering multi-object density functions in which objects are trajectories. For the standard tracking models, we also describe a conjugate family of multitrajectory density functions.","authors_text":"\\'Angel F. Garc\\'ia-Fern\\'andez, Lennart Svensson, Mark R. Morelande","cross_cats":["cs.SY","eess.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-26T06:52:13Z","title":"Multiple target tracking based on sets of trajectories"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.08163","kind":"arxiv","version":6},"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":"sha256:9a5ad2dab564dce5f5b72fd25f3c707bd93bdd64014416bfb1fc909ac5fd72e9","target":"record","created_at":"2026-07-05T01:09:26Z","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":"d020b4ca3e13781a30f68a250978ae83cd7f578846e90402256602cdec6bad3f","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-26T06:52:13Z","title_canon_sha256":"c1b0d7133afc2ee2f57b3eb31f72bfe9a4bea656e451a37dac5be5d0241c4e3c"},"schema_version":"1.0","source":{"id":"1605.08163","kind":"arxiv","version":6}},"canonical_sha256":"c6a1224baf898e21446c26fac1a6f3f8cbbfb0dbab4437a05e44195d4dc825a0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c6a1224baf898e21446c26fac1a6f3f8cbbfb0dbab4437a05e44195d4dc825a0","first_computed_at":"2026-07-05T01:09:26.257882Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:09:26.257882Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"j6qbgj0+I9kJauyvlOiWSh5OGKxrhDoUoipwLcabFhARqGA4SkdySfBoN2Nszw0yEM/DyRzv+Kln9OdATwioAg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:09:26.258282Z","signed_message":"canonical_sha256_bytes"},"source_id":"1605.08163","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9a5ad2dab564dce5f5b72fd25f3c707bd93bdd64014416bfb1fc909ac5fd72e9","sha256:0cd56d8762e1e05efc5243cab47bf562ed399e72cc749d503b2431c44c6c8ab4"],"state_sha256":"0de6deb3948a5e35b2ffb07e935ab4fc39adca8bbf835135d02c4a2e8dffffe3"}