{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:SGPH57XGY74FEQYJCSGRZLW4QK","short_pith_number":"pith:SGPH57XG","schema_version":"1.0","canonical_sha256":"919e7efee6c7f8524309148d1caedc82a1512a6a73fe9ea891eb09b7ff1873a5","source":{"kind":"arxiv","id":"2503.15246","version":1},"attestation_state":"computed","paper":{"title":"Variational Message Passing-based Multiobject Tracking for MIMO-Radars using Raw Sensor Signals","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Anders Malthe Westerkam, Erik Leitinger, Jakob M\\\"oderl, Troels Pedersen","submitted_at":"2025-03-19T14:22:39Z","abstract_excerpt":"In this paper, we propose a direct multiobject tracking (MOT) approach for MIMO-radar signals that operates on raw sensor data via variational message passing (VMP). Unlike classical track-before-detect (TBD) methods, which often rely on simplified likelihood models and exclude nuisance parameters (e.g., object amplitudes, noise variance), our method adopts a superimposed signal model and employs a mean-field approximation to jointly estimate both object existence and object states. By considering correlations within in the radar signal due to closely spaced objects and jointly estimating nuis"},"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":"2503.15246","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-03-19T14:22:39Z","cross_cats_sorted":[],"title_canon_sha256":"6790b4b4024365c0562c19b303e368981ef85c61aa788be49906e0faca0d1755","abstract_canon_sha256":"75aaee806ad876b574d7c448b0d58d71db7f13895dd2e99ed6a0c64842de2080"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:34:49.400709Z","signature_b64":"xA2HvhpZlpeSYsTk3x3n/i8UAJw6V5K0wx1dFyxPKP3NOQZsPr1XUCPc37Zv6AeC6u3kUvKXcs2wRfI9sEk+Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"919e7efee6c7f8524309148d1caedc82a1512a6a73fe9ea891eb09b7ff1873a5","last_reissued_at":"2026-07-05T10:34:49.400218Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:34:49.400218Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Variational Message Passing-based Multiobject Tracking for MIMO-Radars using Raw Sensor Signals","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Anders Malthe Westerkam, Erik Leitinger, Jakob M\\\"oderl, Troels Pedersen","submitted_at":"2025-03-19T14:22:39Z","abstract_excerpt":"In this paper, we propose a direct multiobject tracking (MOT) approach for MIMO-radar signals that operates on raw sensor data via variational message passing (VMP). Unlike classical track-before-detect (TBD) methods, which often rely on simplified likelihood models and exclude nuisance parameters (e.g., object amplitudes, noise variance), our method adopts a superimposed signal model and employs a mean-field approximation to jointly estimate both object existence and object states. By considering correlations within in the radar signal due to closely spaced objects and jointly estimating nuis"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.15246","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/2503.15246/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":"2503.15246","created_at":"2026-07-05T10:34:49.400275+00:00"},{"alias_kind":"arxiv_version","alias_value":"2503.15246v1","created_at":"2026-07-05T10:34:49.400275+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.15246","created_at":"2026-07-05T10:34:49.400275+00:00"},{"alias_kind":"pith_short_12","alias_value":"SGPH57XGY74F","created_at":"2026-07-05T10:34:49.400275+00:00"},{"alias_kind":"pith_short_16","alias_value":"SGPH57XGY74FEQYJ","created_at":"2026-07-05T10:34:49.400275+00:00"},{"alias_kind":"pith_short_8","alias_value":"SGPH57XG","created_at":"2026-07-05T10:34:49.400275+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2506.18177","citing_title":"Message Passing for Track-Before-Detect","ref_index":35,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/SGPH57XGY74FEQYJCSGRZLW4QK","json":"https://pith.science/pith/SGPH57XGY74FEQYJCSGRZLW4QK.json","graph_json":"https://pith.science/api/pith-number/SGPH57XGY74FEQYJCSGRZLW4QK/graph.json","events_json":"https://pith.science/api/pith-number/SGPH57XGY74FEQYJCSGRZLW4QK/events.json","paper":"https://pith.science/paper/SGPH57XG"},"agent_actions":{"view_html":"https://pith.science/pith/SGPH57XGY74FEQYJCSGRZLW4QK","download_json":"https://pith.science/pith/SGPH57XGY74FEQYJCSGRZLW4QK.json","view_paper":"https://pith.science/paper/SGPH57XG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2503.15246&json=true","fetch_graph":"https://pith.science/api/pith-number/SGPH57XGY74FEQYJCSGRZLW4QK/graph.json","fetch_events":"https://pith.science/api/pith-number/SGPH57XGY74FEQYJCSGRZLW4QK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SGPH57XGY74FEQYJCSGRZLW4QK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SGPH57XGY74FEQYJCSGRZLW4QK/action/storage_attestation","attest_author":"https://pith.science/pith/SGPH57XGY74FEQYJCSGRZLW4QK/action/author_attestation","sign_citation":"https://pith.science/pith/SGPH57XGY74FEQYJCSGRZLW4QK/action/citation_signature","submit_replication":"https://pith.science/pith/SGPH57XGY74FEQYJCSGRZLW4QK/action/replication_record"}},"created_at":"2026-07-05T10:34:49.400275+00:00","updated_at":"2026-07-05T10:34:49.400275+00:00"}