{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:OLAMV5OGOU2KDNX5L3DKXLONRD","short_pith_number":"pith:OLAMV5OG","canonical_record":{"source":{"id":"1809.00480","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-09-03T07:52:56Z","cross_cats_sorted":["cs.IT","math.IT"],"title_canon_sha256":"e5b3b688bf1acad47393d71959b8c43fff9a883513c3f395d9c21852493d900e","abstract_canon_sha256":"0df12b59807761628bc8cf3b5f08cb8f8b726865712c8ce73c47081361bd0ae1"},"schema_version":"1.0"},"canonical_sha256":"72c0caf5c67534a1b6fd5ec6abadcd88f3cad811491575548db701c2f39d08b4","source":{"kind":"arxiv","id":"1809.00480","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.00480","created_at":"2026-05-18T00:06:19Z"},{"alias_kind":"arxiv_version","alias_value":"1809.00480v1","created_at":"2026-05-18T00:06:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.00480","created_at":"2026-05-18T00:06:19Z"},{"alias_kind":"pith_short_12","alias_value":"OLAMV5OGOU2K","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"OLAMV5OGOU2KDNX5","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"OLAMV5OG","created_at":"2026-05-18T12:32:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:OLAMV5OGOU2KDNX5L3DKXLONRD","target":"record","payload":{"canonical_record":{"source":{"id":"1809.00480","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-09-03T07:52:56Z","cross_cats_sorted":["cs.IT","math.IT"],"title_canon_sha256":"e5b3b688bf1acad47393d71959b8c43fff9a883513c3f395d9c21852493d900e","abstract_canon_sha256":"0df12b59807761628bc8cf3b5f08cb8f8b726865712c8ce73c47081361bd0ae1"},"schema_version":"1.0"},"canonical_sha256":"72c0caf5c67534a1b6fd5ec6abadcd88f3cad811491575548db701c2f39d08b4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:06:19.826435Z","signature_b64":"wELvyF+jQUhGTywjlpLaWxNBVNiuL+9CCkm5rSiKjfePqlRuBIc5C5p5yOaXE/UgErFJkoKjc+WrWIjotN+vDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"72c0caf5c67534a1b6fd5ec6abadcd88f3cad811491575548db701c2f39d08b4","last_reissued_at":"2026-05-18T00:06:19.825885Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:06:19.825885Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1809.00480","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":"2026-05-18T00:06:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D8mO/uP7D1xpdfdA1YfuugD+PkKeynbV63DuDLxmaqlS+zJHgnWz1CuvNlWUTdawgNhthnD7f6JbCOB3lQH/Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T01:27:32.990821Z"},"content_sha256":"c06cfd5ca332ebbd0e3a84fa71f9c15622aefdf895f8370dae1a4ccb1314e488","schema_version":"1.0","event_id":"sha256:c06cfd5ca332ebbd0e3a84fa71f9c15622aefdf895f8370dae1a4ccb1314e488"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:OLAMV5OGOU2KDNX5L3DKXLONRD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sea Clutter Distribution Modeling: A Kernel Density Estimation Approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IT","math.IT"],"primary_cat":"stat.AP","authors_text":"Hongkuan Zhou, Tao Jiang, Yuzhou Li","submitted_at":"2018-09-03T07:52:56Z","abstract_excerpt":"An accurate sea clutter distribution is crucial for decision region determination when detecting sea-surface floating targets. However, traditional parametric models possibly have a considerable gap to the realistic distribution of sea clutters due to the volatile sea states. In this paper, we develop a kernel density estimation based framework to model the sea clutter distributions without requiring any prior knowledge. In this framework, we jointly consider two embedded fundamental problems, the selection of a proper kernel density function and the determination of its corresponding optimal "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.00480","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":"2026-05-18T00:06:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uIzOyFdv97FcPYAfvJxoZIHj4gugg66B1lusSiG5NMQfZ+R+44Abf8+7+UxayCezz//2aGwYQju6a7CkQ9KQDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T01:27:32.991493Z"},"content_sha256":"bfcd0d7bbe0dd08adae1c7620c4e33f70ab07b9b9f45fcdd0eddc4451765f551","schema_version":"1.0","event_id":"sha256:bfcd0d7bbe0dd08adae1c7620c4e33f70ab07b9b9f45fcdd0eddc4451765f551"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OLAMV5OGOU2KDNX5L3DKXLONRD/bundle.json","state_url":"https://pith.science/pith/OLAMV5OGOU2KDNX5L3DKXLONRD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OLAMV5OGOU2KDNX5L3DKXLONRD/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":"2026-06-01T01:27:32Z","links":{"resolver":"https://pith.science/pith/OLAMV5OGOU2KDNX5L3DKXLONRD","bundle":"https://pith.science/pith/OLAMV5OGOU2KDNX5L3DKXLONRD/bundle.json","state":"https://pith.science/pith/OLAMV5OGOU2KDNX5L3DKXLONRD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OLAMV5OGOU2KDNX5L3DKXLONRD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:OLAMV5OGOU2KDNX5L3DKXLONRD","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":"0df12b59807761628bc8cf3b5f08cb8f8b726865712c8ce73c47081361bd0ae1","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-09-03T07:52:56Z","title_canon_sha256":"e5b3b688bf1acad47393d71959b8c43fff9a883513c3f395d9c21852493d900e"},"schema_version":"1.0","source":{"id":"1809.00480","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.00480","created_at":"2026-05-18T00:06:19Z"},{"alias_kind":"arxiv_version","alias_value":"1809.00480v1","created_at":"2026-05-18T00:06:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.00480","created_at":"2026-05-18T00:06:19Z"},{"alias_kind":"pith_short_12","alias_value":"OLAMV5OGOU2K","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"OLAMV5OGOU2KDNX5","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"OLAMV5OG","created_at":"2026-05-18T12:32:43Z"}],"graph_snapshots":[{"event_id":"sha256:bfcd0d7bbe0dd08adae1c7620c4e33f70ab07b9b9f45fcdd0eddc4451765f551","target":"graph","created_at":"2026-05-18T00:06:19Z","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":"An accurate sea clutter distribution is crucial for decision region determination when detecting sea-surface floating targets. However, traditional parametric models possibly have a considerable gap to the realistic distribution of sea clutters due to the volatile sea states. In this paper, we develop a kernel density estimation based framework to model the sea clutter distributions without requiring any prior knowledge. In this framework, we jointly consider two embedded fundamental problems, the selection of a proper kernel density function and the determination of its corresponding optimal ","authors_text":"Hongkuan Zhou, Tao Jiang, Yuzhou Li","cross_cats":["cs.IT","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-09-03T07:52:56Z","title":"Sea Clutter Distribution Modeling: A Kernel Density Estimation Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.00480","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:c06cfd5ca332ebbd0e3a84fa71f9c15622aefdf895f8370dae1a4ccb1314e488","target":"record","created_at":"2026-05-18T00:06:19Z","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":"0df12b59807761628bc8cf3b5f08cb8f8b726865712c8ce73c47081361bd0ae1","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-09-03T07:52:56Z","title_canon_sha256":"e5b3b688bf1acad47393d71959b8c43fff9a883513c3f395d9c21852493d900e"},"schema_version":"1.0","source":{"id":"1809.00480","kind":"arxiv","version":1}},"canonical_sha256":"72c0caf5c67534a1b6fd5ec6abadcd88f3cad811491575548db701c2f39d08b4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"72c0caf5c67534a1b6fd5ec6abadcd88f3cad811491575548db701c2f39d08b4","first_computed_at":"2026-05-18T00:06:19.825885Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:06:19.825885Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wELvyF+jQUhGTywjlpLaWxNBVNiuL+9CCkm5rSiKjfePqlRuBIc5C5p5yOaXE/UgErFJkoKjc+WrWIjotN+vDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:06:19.826435Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.00480","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c06cfd5ca332ebbd0e3a84fa71f9c15622aefdf895f8370dae1a4ccb1314e488","sha256:bfcd0d7bbe0dd08adae1c7620c4e33f70ab07b9b9f45fcdd0eddc4451765f551"],"state_sha256":"66d6a9a5135f860f99ee38d051bc0399e3811e6768d8de4232d0aad8db2f8c6a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"boa3+1QOcvlUE0jQ9lGq3SDBvxg3o8r3XMRjXozUTsVUHmqo62tHeVmIzEvv1DDHkPOa7b+7dciOUZHtPjbHCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T01:27:32.995010Z","bundle_sha256":"3249d81c4e636fb721518b0641e7e015281a96d2471757953662424e40a35edc"}}