{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:JB2DPKWJCSM42453A6G3QGWRYB","short_pith_number":"pith:JB2DPKWJ","canonical_record":{"source":{"id":"1807.08531","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2018-07-23T11:10:53Z","cross_cats_sorted":[],"title_canon_sha256":"38392a5cc9b8cc7c3e9b9cee6ac1313dbbce67e28a539b53d635a7b31406abc4","abstract_canon_sha256":"a18cac78493f04cbb60ef2f414aa98239eac6be574123786df4067e53203bf2a"},"schema_version":"1.0"},"canonical_sha256":"487437aac91499cd73bb078db81ad1c0771ccf3c6ee22cc5d66d99e790588489","source":{"kind":"arxiv","id":"1807.08531","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.08531","created_at":"2026-05-18T00:10:07Z"},{"alias_kind":"arxiv_version","alias_value":"1807.08531v1","created_at":"2026-05-18T00:10:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.08531","created_at":"2026-05-18T00:10:07Z"},{"alias_kind":"pith_short_12","alias_value":"JB2DPKWJCSM4","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"JB2DPKWJCSM42453","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"JB2DPKWJ","created_at":"2026-05-18T12:32:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:JB2DPKWJCSM42453A6G3QGWRYB","target":"record","payload":{"canonical_record":{"source":{"id":"1807.08531","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2018-07-23T11:10:53Z","cross_cats_sorted":[],"title_canon_sha256":"38392a5cc9b8cc7c3e9b9cee6ac1313dbbce67e28a539b53d635a7b31406abc4","abstract_canon_sha256":"a18cac78493f04cbb60ef2f414aa98239eac6be574123786df4067e53203bf2a"},"schema_version":"1.0"},"canonical_sha256":"487437aac91499cd73bb078db81ad1c0771ccf3c6ee22cc5d66d99e790588489","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:10:07.747569Z","signature_b64":"9C+RxGuLc1RNU52Q1Cd3hMwnhDmeKTmnaEAtgexCjhtdqokP1VBxeSdX1ANKt8lsYDa+76Jb4rhwEX5bjIniCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"487437aac91499cd73bb078db81ad1c0771ccf3c6ee22cc5d66d99e790588489","last_reissued_at":"2026-05-18T00:10:07.746904Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:10:07.746904Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.08531","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":"2026-05-18T00:10:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6q1NvSWoxtEh+9fPPtCDexyYrlg6srlUBIysjb+NmjOPsS/w5oyMCXbnUcV2vKb1TcAKuJDgG8J/kyivz9ZHDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T08:05:26.008384Z"},"content_sha256":"4b75d190254539fb2b1d2a44e0e01dc6c755877d88471af7aefe76941dc31860","schema_version":"1.0","event_id":"sha256:4b75d190254539fb2b1d2a44e0e01dc6c755877d88471af7aefe76941dc31860"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:JB2DPKWJCSM42453A6G3QGWRYB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multisensor Management Algorithm for Airborne Sensors Using Frank-Wolfe Method","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MA","authors_text":"Hyochoong Bang, Youngjoo Kim","submitted_at":"2018-07-23T11:10:53Z","abstract_excerpt":"This study proposes an airborne multisensor management algorithm for target tracking, taking each of multiple unmanned aircraft as a sensor. The purpose of the algorithm is to determine the configuration of the sensor deployment and to guide the mobile sensors to track moving targets in an optimal way. The cost function as a performance metric is defined as a combination of the D-optimality criterion of the Fisher information matrix. The convexity of the cost function is proved and the optimal solution for deployment and guidance problem is derived by the Frank-Wolfe method, also known as the "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.08531","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":"2026-05-18T00:10:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qAeWz09gJHXqueaY8dCuqz6aCX0pAWuEHke5jQQTeoN5R8/0TUu4HU+BzWxztBgzT6mS6FuFh4QO6qmEDbtbCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T08:05:26.008743Z"},"content_sha256":"59e56b364a02e59974b6b470efe7ba116ed58a88bfa07a687f2247d9d31a9136","schema_version":"1.0","event_id":"sha256:59e56b364a02e59974b6b470efe7ba116ed58a88bfa07a687f2247d9d31a9136"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JB2DPKWJCSM42453A6G3QGWRYB/bundle.json","state_url":"https://pith.science/pith/JB2DPKWJCSM42453A6G3QGWRYB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JB2DPKWJCSM42453A6G3QGWRYB/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":"2026-07-10T08:05:26Z","links":{"resolver":"https://pith.science/pith/JB2DPKWJCSM42453A6G3QGWRYB","bundle":"https://pith.science/pith/JB2DPKWJCSM42453A6G3QGWRYB/bundle.json","state":"https://pith.science/pith/JB2DPKWJCSM42453A6G3QGWRYB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JB2DPKWJCSM42453A6G3QGWRYB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:JB2DPKWJCSM42453A6G3QGWRYB","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":"a18cac78493f04cbb60ef2f414aa98239eac6be574123786df4067e53203bf2a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2018-07-23T11:10:53Z","title_canon_sha256":"38392a5cc9b8cc7c3e9b9cee6ac1313dbbce67e28a539b53d635a7b31406abc4"},"schema_version":"1.0","source":{"id":"1807.08531","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.08531","created_at":"2026-05-18T00:10:07Z"},{"alias_kind":"arxiv_version","alias_value":"1807.08531v1","created_at":"2026-05-18T00:10:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.08531","created_at":"2026-05-18T00:10:07Z"},{"alias_kind":"pith_short_12","alias_value":"JB2DPKWJCSM4","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"JB2DPKWJCSM42453","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"JB2DPKWJ","created_at":"2026-05-18T12:32:31Z"}],"graph_snapshots":[{"event_id":"sha256:59e56b364a02e59974b6b470efe7ba116ed58a88bfa07a687f2247d9d31a9136","target":"graph","created_at":"2026-05-18T00:10:07Z","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 study proposes an airborne multisensor management algorithm for target tracking, taking each of multiple unmanned aircraft as a sensor. The purpose of the algorithm is to determine the configuration of the sensor deployment and to guide the mobile sensors to track moving targets in an optimal way. The cost function as a performance metric is defined as a combination of the D-optimality criterion of the Fisher information matrix. The convexity of the cost function is proved and the optimal solution for deployment and guidance problem is derived by the Frank-Wolfe method, also known as the ","authors_text":"Hyochoong Bang, Youngjoo Kim","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2018-07-23T11:10:53Z","title":"Multisensor Management Algorithm for Airborne Sensors Using Frank-Wolfe Method"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.08531","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":"sha256:4b75d190254539fb2b1d2a44e0e01dc6c755877d88471af7aefe76941dc31860","target":"record","created_at":"2026-05-18T00:10:07Z","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":"a18cac78493f04cbb60ef2f414aa98239eac6be574123786df4067e53203bf2a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2018-07-23T11:10:53Z","title_canon_sha256":"38392a5cc9b8cc7c3e9b9cee6ac1313dbbce67e28a539b53d635a7b31406abc4"},"schema_version":"1.0","source":{"id":"1807.08531","kind":"arxiv","version":1}},"canonical_sha256":"487437aac91499cd73bb078db81ad1c0771ccf3c6ee22cc5d66d99e790588489","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"487437aac91499cd73bb078db81ad1c0771ccf3c6ee22cc5d66d99e790588489","first_computed_at":"2026-05-18T00:10:07.746904Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:10:07.746904Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9C+RxGuLc1RNU52Q1Cd3hMwnhDmeKTmnaEAtgexCjhtdqokP1VBxeSdX1ANKt8lsYDa+76Jb4rhwEX5bjIniCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:10:07.747569Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.08531","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4b75d190254539fb2b1d2a44e0e01dc6c755877d88471af7aefe76941dc31860","sha256:59e56b364a02e59974b6b470efe7ba116ed58a88bfa07a687f2247d9d31a9136"],"state_sha256":"c08ca7fdb9c5ca9c9bbfc34cbb93271bf9ce8c8f894b676ca5a1cbd8a1743470"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hd28FcWOGTH7WL2byTlNAfb+Ys8Xkl5kW+6hnIfFqahAQQk7RwXWuVYdYVh7XV5oaGWDlLsY37qkHQ9nAUY4Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-10T08:05:26.010860Z","bundle_sha256":"2c280f930605fe383d5e345ff3156a20dbbe83aeb0c8e5916777ae188bedc2dd"}}