{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:YK7BVTYQQWHTST3MZ57GGC7V7N","short_pith_number":"pith:YK7BVTYQ","schema_version":"1.0","canonical_sha256":"c2be1acf10858f394f6ccf7e630bf5fb6b6b675953fef6387fcdab45ff72fda7","source":{"kind":"arxiv","id":"2412.06716","version":1},"attestation_state":"computed","paper":{"title":"On Pooling-Based Track Fusion Strategies : Harmonic Mean Density","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY","eess.SY"],"primary_cat":"eess.SP","authors_text":"Nikhil Sharma, Ratnasingham Tharmarasa, Shovan Bhaumik, Thiagalingam Kirubarajan","submitted_at":"2024-12-09T18:03:59Z","abstract_excerpt":"In a distributed sensor fusion architecture, using standard Kalman filter (naive fusion) can lead to degraded results as track correlations are ignored and conservative fusion strategies are employed as a sub-optimal alternative to the problem. Since, Gaussian mixtures provide a flexible means of modeling any density, therefore fusion strategies suitable for use with Gaussian mixtures are needed. While the generalized covariance intersection (CI) provides a means to fuse Gaussian mixtures, the procedure is cumbersome and requires evaluating a non-integer power of the mixture density. In this p"},"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":"2412.06716","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2024-12-09T18:03:59Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"bdfe9bbc45287b0bb1ef31671ed6d0426889ec847d6c6e0da6646f6a745b143d","abstract_canon_sha256":"306f8bac29bdb6c94083cd9222fdbbf741fca3cf28d7411be7bd18d6fd0cad6d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:46:37.001151Z","signature_b64":"jAevHg/YE/UjSw0vcuIOA5OLMr1b+zI1KTlAD3jVvMf6L5V3tNSU3p5wkk+hxtccG+6JvaDbODwsWqpb4YsXCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c2be1acf10858f394f6ccf7e630bf5fb6b6b675953fef6387fcdab45ff72fda7","last_reissued_at":"2026-07-05T09:46:37.000616Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:46:37.000616Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"On Pooling-Based Track Fusion Strategies : Harmonic Mean Density","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY","eess.SY"],"primary_cat":"eess.SP","authors_text":"Nikhil Sharma, Ratnasingham Tharmarasa, Shovan Bhaumik, Thiagalingam Kirubarajan","submitted_at":"2024-12-09T18:03:59Z","abstract_excerpt":"In a distributed sensor fusion architecture, using standard Kalman filter (naive fusion) can lead to degraded results as track correlations are ignored and conservative fusion strategies are employed as a sub-optimal alternative to the problem. Since, Gaussian mixtures provide a flexible means of modeling any density, therefore fusion strategies suitable for use with Gaussian mixtures are needed. While the generalized covariance intersection (CI) provides a means to fuse Gaussian mixtures, the procedure is cumbersome and requires evaluating a non-integer power of the mixture density. In this p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.06716","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/2412.06716/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":"2412.06716","created_at":"2026-07-05T09:46:37.000673+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.06716v1","created_at":"2026-07-05T09:46:37.000673+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.06716","created_at":"2026-07-05T09:46:37.000673+00:00"},{"alias_kind":"pith_short_12","alias_value":"YK7BVTYQQWHT","created_at":"2026-07-05T09:46:37.000673+00:00"},{"alias_kind":"pith_short_16","alias_value":"YK7BVTYQQWHTST3M","created_at":"2026-07-05T09:46:37.000673+00:00"},{"alias_kind":"pith_short_8","alias_value":"YK7BVTYQ","created_at":"2026-07-05T09:46:37.000673+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/YK7BVTYQQWHTST3MZ57GGC7V7N","json":"https://pith.science/pith/YK7BVTYQQWHTST3MZ57GGC7V7N.json","graph_json":"https://pith.science/api/pith-number/YK7BVTYQQWHTST3MZ57GGC7V7N/graph.json","events_json":"https://pith.science/api/pith-number/YK7BVTYQQWHTST3MZ57GGC7V7N/events.json","paper":"https://pith.science/paper/YK7BVTYQ"},"agent_actions":{"view_html":"https://pith.science/pith/YK7BVTYQQWHTST3MZ57GGC7V7N","download_json":"https://pith.science/pith/YK7BVTYQQWHTST3MZ57GGC7V7N.json","view_paper":"https://pith.science/paper/YK7BVTYQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.06716&json=true","fetch_graph":"https://pith.science/api/pith-number/YK7BVTYQQWHTST3MZ57GGC7V7N/graph.json","fetch_events":"https://pith.science/api/pith-number/YK7BVTYQQWHTST3MZ57GGC7V7N/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YK7BVTYQQWHTST3MZ57GGC7V7N/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YK7BVTYQQWHTST3MZ57GGC7V7N/action/storage_attestation","attest_author":"https://pith.science/pith/YK7BVTYQQWHTST3MZ57GGC7V7N/action/author_attestation","sign_citation":"https://pith.science/pith/YK7BVTYQQWHTST3MZ57GGC7V7N/action/citation_signature","submit_replication":"https://pith.science/pith/YK7BVTYQQWHTST3MZ57GGC7V7N/action/replication_record"}},"created_at":"2026-07-05T09:46:37.000673+00:00","updated_at":"2026-07-05T09:46:37.000673+00:00"}