{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:SYNO4HSOCWMQG7BXK6LX72M5AB","short_pith_number":"pith:SYNO4HSO","canonical_record":{"source":{"id":"1304.2707","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2013-04-09T19:55:31Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"e1a519b7429edb3bc0817ba84189434b4f5a375838678d7690b19fb2f225032f","abstract_canon_sha256":"ef5075d214c9cc25b0874d5d0584f1c620bfcecd6c26c0498387aba1438ef794"},"schema_version":"1.0"},"canonical_sha256":"961aee1e4e1599037c3757977fe99d00608a4a01b7f4815b8a3010fdfcb5131f","source":{"kind":"arxiv","id":"1304.2707","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1304.2707","created_at":"2026-05-18T03:28:30Z"},{"alias_kind":"arxiv_version","alias_value":"1304.2707v1","created_at":"2026-05-18T03:28:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1304.2707","created_at":"2026-05-18T03:28:30Z"},{"alias_kind":"pith_short_12","alias_value":"SYNO4HSOCWMQ","created_at":"2026-05-18T12:27:59Z"},{"alias_kind":"pith_short_16","alias_value":"SYNO4HSOCWMQG7BX","created_at":"2026-05-18T12:27:59Z"},{"alias_kind":"pith_short_8","alias_value":"SYNO4HSO","created_at":"2026-05-18T12:27:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:SYNO4HSOCWMQG7BXK6LX72M5AB","target":"record","payload":{"canonical_record":{"source":{"id":"1304.2707","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2013-04-09T19:55:31Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"e1a519b7429edb3bc0817ba84189434b4f5a375838678d7690b19fb2f225032f","abstract_canon_sha256":"ef5075d214c9cc25b0874d5d0584f1c620bfcecd6c26c0498387aba1438ef794"},"schema_version":"1.0"},"canonical_sha256":"961aee1e4e1599037c3757977fe99d00608a4a01b7f4815b8a3010fdfcb5131f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:28:30.954258Z","signature_b64":"E/DL67QWTOGjBaB8wVJCzltbmZoxblFu/Bpw+pOWEsEMUVfXkcbOBb0IJ7M40Qv7qJKexi1RSxz8Z8adirgXCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"961aee1e4e1599037c3757977fe99d00608a4a01b7f4815b8a3010fdfcb5131f","last_reissued_at":"2026-05-18T03:28:30.953560Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:28:30.953560Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1304.2707","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":"2026-05-18T03:28:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5C+kKWzFY5+WrfK2QaRwIgQ29no3LBlurIUMaXpcY/V/A06232XMl1PQMHo7ajC6zWE0Syywo8RIzPeuR740BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T08:55:27.714236Z"},"content_sha256":"af47685a2e7f867c11fb4be8a6a6c518dcf3623ad7b4248e328bb361b05d4706","schema_version":"1.0","event_id":"sha256:af47685a2e7f867c11fb4be8a6a6c518dcf3623ad7b4248e328bb361b05d4706"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:SYNO4HSOCWMQG7BXK6LX72M5AB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Tracking the Tracker from its Passive Sonar ML-PDA Estimates","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"D. Ciuonzo, P. K. Willett, Y. Bar-Shalom","submitted_at":"2013-04-09T19:55:31Z","abstract_excerpt":"Target motion analysis with wideband passive sonar has received much attention. Maximum likelihood probabilistic data-association (ML-PDA) represents an asymptotically efficient estimator for deterministic target motion, and is especially well-suited for low-observable targets; the results presented here apply to situations with higher signal to noise ratio as well, including of course the situation of a deterministic target observed via clean measurements without false alarms or missed detections. Here we study the inverse problem, namely, how to identify the observing platform (following a t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1304.2707","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":"2026-05-18T03:28:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iiJuxoWSqzjeLEV+eRyxUrz09/snPUYZmnhX/QMxGxSZqhze3mkNeA+soYvE+8OXNZ1EXOBY4mA9PPOgmlUEDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T08:55:27.714593Z"},"content_sha256":"d2d4d797d92c6cac295dab1ea0cd43148c06f095a458e55fdbf2ce8b0ac9762d","schema_version":"1.0","event_id":"sha256:d2d4d797d92c6cac295dab1ea0cd43148c06f095a458e55fdbf2ce8b0ac9762d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SYNO4HSOCWMQG7BXK6LX72M5AB/bundle.json","state_url":"https://pith.science/pith/SYNO4HSOCWMQG7BXK6LX72M5AB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SYNO4HSOCWMQG7BXK6LX72M5AB/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":"2026-06-27T08:55:27Z","links":{"resolver":"https://pith.science/pith/SYNO4HSOCWMQG7BXK6LX72M5AB","bundle":"https://pith.science/pith/SYNO4HSOCWMQG7BXK6LX72M5AB/bundle.json","state":"https://pith.science/pith/SYNO4HSOCWMQG7BXK6LX72M5AB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SYNO4HSOCWMQG7BXK6LX72M5AB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:SYNO4HSOCWMQG7BXK6LX72M5AB","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":"ef5075d214c9cc25b0874d5d0584f1c620bfcecd6c26c0498387aba1438ef794","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2013-04-09T19:55:31Z","title_canon_sha256":"e1a519b7429edb3bc0817ba84189434b4f5a375838678d7690b19fb2f225032f"},"schema_version":"1.0","source":{"id":"1304.2707","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1304.2707","created_at":"2026-05-18T03:28:30Z"},{"alias_kind":"arxiv_version","alias_value":"1304.2707v1","created_at":"2026-05-18T03:28:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1304.2707","created_at":"2026-05-18T03:28:30Z"},{"alias_kind":"pith_short_12","alias_value":"SYNO4HSOCWMQ","created_at":"2026-05-18T12:27:59Z"},{"alias_kind":"pith_short_16","alias_value":"SYNO4HSOCWMQG7BX","created_at":"2026-05-18T12:27:59Z"},{"alias_kind":"pith_short_8","alias_value":"SYNO4HSO","created_at":"2026-05-18T12:27:59Z"}],"graph_snapshots":[{"event_id":"sha256:d2d4d797d92c6cac295dab1ea0cd43148c06f095a458e55fdbf2ce8b0ac9762d","target":"graph","created_at":"2026-05-18T03:28:30Z","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":"Target motion analysis with wideband passive sonar has received much attention. Maximum likelihood probabilistic data-association (ML-PDA) represents an asymptotically efficient estimator for deterministic target motion, and is especially well-suited for low-observable targets; the results presented here apply to situations with higher signal to noise ratio as well, including of course the situation of a deterministic target observed via clean measurements without false alarms or missed detections. Here we study the inverse problem, namely, how to identify the observing platform (following a t","authors_text":"D. Ciuonzo, P. K. Willett, Y. Bar-Shalom","cross_cats":["math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2013-04-09T19:55:31Z","title":"Tracking the Tracker from its Passive Sonar ML-PDA Estimates"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1304.2707","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:af47685a2e7f867c11fb4be8a6a6c518dcf3623ad7b4248e328bb361b05d4706","target":"record","created_at":"2026-05-18T03:28:30Z","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":"ef5075d214c9cc25b0874d5d0584f1c620bfcecd6c26c0498387aba1438ef794","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2013-04-09T19:55:31Z","title_canon_sha256":"e1a519b7429edb3bc0817ba84189434b4f5a375838678d7690b19fb2f225032f"},"schema_version":"1.0","source":{"id":"1304.2707","kind":"arxiv","version":1}},"canonical_sha256":"961aee1e4e1599037c3757977fe99d00608a4a01b7f4815b8a3010fdfcb5131f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"961aee1e4e1599037c3757977fe99d00608a4a01b7f4815b8a3010fdfcb5131f","first_computed_at":"2026-05-18T03:28:30.953560Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:28:30.953560Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"E/DL67QWTOGjBaB8wVJCzltbmZoxblFu/Bpw+pOWEsEMUVfXkcbOBb0IJ7M40Qv7qJKexi1RSxz8Z8adirgXCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T03:28:30.954258Z","signed_message":"canonical_sha256_bytes"},"source_id":"1304.2707","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:af47685a2e7f867c11fb4be8a6a6c518dcf3623ad7b4248e328bb361b05d4706","sha256:d2d4d797d92c6cac295dab1ea0cd43148c06f095a458e55fdbf2ce8b0ac9762d"],"state_sha256":"5c7385ada7196ae3b61ca12adf5a839d960da52e630d89f57b0b1e0b74d7330f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KGgOoF1QhLMgsIDpNsO7OPcy7tbORaRrCK1/6l7/TTBPsI5sxqpu8GnJBrc2OiJHj3Khoe+btiTzGvK+hm7QCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-27T08:55:27.716444Z","bundle_sha256":"6d6cf19b75f339fbc50783e7df875c694944c970d950fd84d44776cec5774d23"}}