{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:EL2IZYDB3G3IRKUUJFQXCZJICU","short_pith_number":"pith:EL2IZYDB","canonical_record":{"source":{"id":"1702.08641","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2017-02-28T04:36:13Z","cross_cats_sorted":[],"title_canon_sha256":"ed0ef92227a880b1995f4aeb05e9e6b5ed6bc9d1da7a8a2fa409a5ec2f0190f3","abstract_canon_sha256":"3ec763f14bde3342de492ff72d84e1736d9ed045a150aa3ab8c640e03ce248a6"},"schema_version":"1.0"},"canonical_sha256":"22f48ce061d9b688aa944961716528153a69fbab1991c18d3818807836a87ef1","source":{"kind":"arxiv","id":"1702.08641","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.08641","created_at":"2026-05-18T00:49:48Z"},{"alias_kind":"arxiv_version","alias_value":"1702.08641v1","created_at":"2026-05-18T00:49:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.08641","created_at":"2026-05-18T00:49:48Z"},{"alias_kind":"pith_short_12","alias_value":"EL2IZYDB3G3I","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"EL2IZYDB3G3IRKUU","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"EL2IZYDB","created_at":"2026-05-18T12:31:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:EL2IZYDB3G3IRKUUJFQXCZJICU","target":"record","payload":{"canonical_record":{"source":{"id":"1702.08641","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2017-02-28T04:36:13Z","cross_cats_sorted":[],"title_canon_sha256":"ed0ef92227a880b1995f4aeb05e9e6b5ed6bc9d1da7a8a2fa409a5ec2f0190f3","abstract_canon_sha256":"3ec763f14bde3342de492ff72d84e1736d9ed045a150aa3ab8c640e03ce248a6"},"schema_version":"1.0"},"canonical_sha256":"22f48ce061d9b688aa944961716528153a69fbab1991c18d3818807836a87ef1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:49:48.202945Z","signature_b64":"Jk5r226P6kme0KjKEyz77vS4lVl9eWDIdcsOI2ZDKimbOtaoNtSJMPCErJGgTRJeZckW7xOV1oVr8ixt90NKAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"22f48ce061d9b688aa944961716528153a69fbab1991c18d3818807836a87ef1","last_reissued_at":"2026-05-18T00:49:48.202456Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:49:48.202456Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1702.08641","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:49:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e0uth+12aQeHUNtDcf73TM3OK3grt0LT5tVFCwJaRUKY37wVCwnUnq7bxHK7dEjb8JH5X2b5SMzDul5c30qXBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T13:23:03.479088Z"},"content_sha256":"dffd19fa322c068f5d4bbaa7bc82cf4fbbba17d247f348a316912d281b2f4cc5","schema_version":"1.0","event_id":"sha256:dffd19fa322c068f5d4bbaa7bc82cf4fbbba17d247f348a316912d281b2f4cc5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:EL2IZYDB3G3IRKUUJFQXCZJICU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Statistical Information Fusion for Multiple-View Sensor Data in Multi-Object Tracking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SY","authors_text":"Alireza Bab-Hadiashar, Amirali K. Gostar, Benlian Xu, Reza Hoseinnezhad, Tharindu Rathnayake, Xiaoying Wang","submitted_at":"2017-02-28T04:36:13Z","abstract_excerpt":"This paper presents a novel statistical information fusion method to integrate multiple-view sensor data in multi-object tracking applications. The proposed method overcomes the drawbacks of the commonly used Generalized Covariance Intersection method, which considers constant weights allocated for sensors. Our method is based on enhancing the Generalized Covariance Intersection with adaptive weights that are automatically tuned based on the amount of information carried by the measurements from each sensor. To quantify information content, Cauchy-Schwarz divergence is used. Another distinguis"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.08641","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":""},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:49:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MoUZTV60hOSxVGYUwXpXgOv7hGAzUintvwhjFBHyco16IPhPoTC0HI6XYkX40VDRB7zZFko9aDB3FNxq4gF/Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T13:23:03.479612Z"},"content_sha256":"0800f1b552e9895b1fc07d402ef961fce8a87b8d80182192d6ace368accea559","schema_version":"1.0","event_id":"sha256:0800f1b552e9895b1fc07d402ef961fce8a87b8d80182192d6ace368accea559"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EL2IZYDB3G3IRKUUJFQXCZJICU/bundle.json","state_url":"https://pith.science/pith/EL2IZYDB3G3IRKUUJFQXCZJICU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EL2IZYDB3G3IRKUUJFQXCZJICU/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-30T13:23:03Z","links":{"resolver":"https://pith.science/pith/EL2IZYDB3G3IRKUUJFQXCZJICU","bundle":"https://pith.science/pith/EL2IZYDB3G3IRKUUJFQXCZJICU/bundle.json","state":"https://pith.science/pith/EL2IZYDB3G3IRKUUJFQXCZJICU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EL2IZYDB3G3IRKUUJFQXCZJICU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:EL2IZYDB3G3IRKUUJFQXCZJICU","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":"3ec763f14bde3342de492ff72d84e1736d9ed045a150aa3ab8c640e03ce248a6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2017-02-28T04:36:13Z","title_canon_sha256":"ed0ef92227a880b1995f4aeb05e9e6b5ed6bc9d1da7a8a2fa409a5ec2f0190f3"},"schema_version":"1.0","source":{"id":"1702.08641","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.08641","created_at":"2026-05-18T00:49:48Z"},{"alias_kind":"arxiv_version","alias_value":"1702.08641v1","created_at":"2026-05-18T00:49:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.08641","created_at":"2026-05-18T00:49:48Z"},{"alias_kind":"pith_short_12","alias_value":"EL2IZYDB3G3I","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"EL2IZYDB3G3IRKUU","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"EL2IZYDB","created_at":"2026-05-18T12:31:12Z"}],"graph_snapshots":[{"event_id":"sha256:0800f1b552e9895b1fc07d402ef961fce8a87b8d80182192d6ace368accea559","target":"graph","created_at":"2026-05-18T00:49:48Z","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"},"paper":{"abstract_excerpt":"This paper presents a novel statistical information fusion method to integrate multiple-view sensor data in multi-object tracking applications. The proposed method overcomes the drawbacks of the commonly used Generalized Covariance Intersection method, which considers constant weights allocated for sensors. Our method is based on enhancing the Generalized Covariance Intersection with adaptive weights that are automatically tuned based on the amount of information carried by the measurements from each sensor. To quantify information content, Cauchy-Schwarz divergence is used. Another distinguis","authors_text":"Alireza Bab-Hadiashar, Amirali K. Gostar, Benlian Xu, Reza Hoseinnezhad, Tharindu Rathnayake, Xiaoying Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2017-02-28T04:36:13Z","title":"Statistical Information Fusion for Multiple-View Sensor Data in Multi-Object Tracking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.08641","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:dffd19fa322c068f5d4bbaa7bc82cf4fbbba17d247f348a316912d281b2f4cc5","target":"record","created_at":"2026-05-18T00:49:48Z","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":"3ec763f14bde3342de492ff72d84e1736d9ed045a150aa3ab8c640e03ce248a6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2017-02-28T04:36:13Z","title_canon_sha256":"ed0ef92227a880b1995f4aeb05e9e6b5ed6bc9d1da7a8a2fa409a5ec2f0190f3"},"schema_version":"1.0","source":{"id":"1702.08641","kind":"arxiv","version":1}},"canonical_sha256":"22f48ce061d9b688aa944961716528153a69fbab1991c18d3818807836a87ef1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"22f48ce061d9b688aa944961716528153a69fbab1991c18d3818807836a87ef1","first_computed_at":"2026-05-18T00:49:48.202456Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:49:48.202456Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Jk5r226P6kme0KjKEyz77vS4lVl9eWDIdcsOI2ZDKimbOtaoNtSJMPCErJGgTRJeZckW7xOV1oVr8ixt90NKAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:49:48.202945Z","signed_message":"canonical_sha256_bytes"},"source_id":"1702.08641","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dffd19fa322c068f5d4bbaa7bc82cf4fbbba17d247f348a316912d281b2f4cc5","sha256:0800f1b552e9895b1fc07d402ef961fce8a87b8d80182192d6ace368accea559"],"state_sha256":"15906b7b9d2094befa5378045aa6759a694e61f3b11185ac1e72f04c725e7e85"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fv4dnib7wJdiWeSCfcHsbl+WBsS+zmUua/HyIeLk0sn3sGLzqD1m906eySFxB9F1GzUdcZyStUO7AkoWFYxhBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T13:23:03.482098Z","bundle_sha256":"b83c61fb8f9ba686531fbf797f93f77fc2413c10d979ebb783d89490944c37e5"}}