{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:3IVMGEVIXCP7HZWNRST5HNOXLG","short_pith_number":"pith:3IVMGEVI","canonical_record":{"source":{"id":"1410.0411","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2014-10-01T23:16:07Z","cross_cats_sorted":[],"title_canon_sha256":"9c91908a66412e447748c92c7bf93577fac57a1d90c9bdf3c99eb7600548f4ec","abstract_canon_sha256":"7bb0b27cadb958fd890137a7f7adaf5c8b66271ee97ee31ed3a772a8524f1007"},"schema_version":"1.0"},"canonical_sha256":"da2ac312a8b89ff3e6cd8ca7d3b5d759bc30bef37eb0c56758d17cfc074aa744","source":{"kind":"arxiv","id":"1410.0411","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1410.0411","created_at":"2026-05-18T02:41:16Z"},{"alias_kind":"arxiv_version","alias_value":"1410.0411v1","created_at":"2026-05-18T02:41:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1410.0411","created_at":"2026-05-18T02:41:16Z"},{"alias_kind":"pith_short_12","alias_value":"3IVMGEVIXCP7","created_at":"2026-05-18T12:28:11Z"},{"alias_kind":"pith_short_16","alias_value":"3IVMGEVIXCP7HZWN","created_at":"2026-05-18T12:28:11Z"},{"alias_kind":"pith_short_8","alias_value":"3IVMGEVI","created_at":"2026-05-18T12:28:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:3IVMGEVIXCP7HZWNRST5HNOXLG","target":"record","payload":{"canonical_record":{"source":{"id":"1410.0411","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2014-10-01T23:16:07Z","cross_cats_sorted":[],"title_canon_sha256":"9c91908a66412e447748c92c7bf93577fac57a1d90c9bdf3c99eb7600548f4ec","abstract_canon_sha256":"7bb0b27cadb958fd890137a7f7adaf5c8b66271ee97ee31ed3a772a8524f1007"},"schema_version":"1.0"},"canonical_sha256":"da2ac312a8b89ff3e6cd8ca7d3b5d759bc30bef37eb0c56758d17cfc074aa744","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:41:16.476629Z","signature_b64":"n+a4tWf/MtC3pzH7ngf7bO3QfD8pAImV16jdlxz5EBc+DoADM+rvDeDYuonZNcjwlIKigmGCYQe5Ukl39HVPBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"da2ac312a8b89ff3e6cd8ca7d3b5d759bc30bef37eb0c56758d17cfc074aa744","last_reissued_at":"2026-05-18T02:41:16.476216Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:41:16.476216Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1410.0411","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":"2026-05-18T02:41:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MeJotZrpw7kxnP8LH3z7KbwMHYlqbgVSHi52XQXE1wKOL3uYhFHSqYMBU1y+/fgXgGBk8J5IenYdB6cjsGhFDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T05:53:32.986534Z"},"content_sha256":"3dd577f1a923fa6940967bc80e025766097c2f17bed1858a6a645d756002597c","schema_version":"1.0","event_id":"sha256:3dd577f1a923fa6940967bc80e025766097c2f17bed1858a6a645d756002597c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:3IVMGEVIXCP7HZWNRST5HNOXLG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Information-driven Fully Distributed Kalman Filter for Sensor Networks in Presence of Naive Nodes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Shaocheng Wang, Wei Ren, Zhongkui Li","submitted_at":"2014-10-01T23:16:07Z","abstract_excerpt":"We consider the distributed Kalman filtering problem for sensor networks where each node takes the measurement, communicates with its local neighbors, and updates its local estimate and estimation error covariance at the same frequency. In such a scenario, if the target is not directly observed by neither a certain node nor its local neighbors, this node is naive about the target. The well-known Kalman Consensus filter (KCF) has been shown to perform well if there exists no naive node in the network. The case in presence of naive nodes has been considered by the generalized KCF (GKCF) and the "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1410.0411","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":"2026-05-18T02:41:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DFMei/DB3Qyh24nMmp3tvRx4Qu+dv1LOqwB/HT3n1cSlb0qdaUCccmn2V6s1qlyh9Rc3X21hi4znSfTd/D5lDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T05:53:32.987089Z"},"content_sha256":"bf7dc36478ff1ae8fcaddbd260b886aad63cd2b597fc00eac40b8c02966cb566","schema_version":"1.0","event_id":"sha256:bf7dc36478ff1ae8fcaddbd260b886aad63cd2b597fc00eac40b8c02966cb566"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3IVMGEVIXCP7HZWNRST5HNOXLG/bundle.json","state_url":"https://pith.science/pith/3IVMGEVIXCP7HZWNRST5HNOXLG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3IVMGEVIXCP7HZWNRST5HNOXLG/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":"2026-05-27T05:53:32Z","links":{"resolver":"https://pith.science/pith/3IVMGEVIXCP7HZWNRST5HNOXLG","bundle":"https://pith.science/pith/3IVMGEVIXCP7HZWNRST5HNOXLG/bundle.json","state":"https://pith.science/pith/3IVMGEVIXCP7HZWNRST5HNOXLG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3IVMGEVIXCP7HZWNRST5HNOXLG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:3IVMGEVIXCP7HZWNRST5HNOXLG","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":"7bb0b27cadb958fd890137a7f7adaf5c8b66271ee97ee31ed3a772a8524f1007","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2014-10-01T23:16:07Z","title_canon_sha256":"9c91908a66412e447748c92c7bf93577fac57a1d90c9bdf3c99eb7600548f4ec"},"schema_version":"1.0","source":{"id":"1410.0411","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1410.0411","created_at":"2026-05-18T02:41:16Z"},{"alias_kind":"arxiv_version","alias_value":"1410.0411v1","created_at":"2026-05-18T02:41:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1410.0411","created_at":"2026-05-18T02:41:16Z"},{"alias_kind":"pith_short_12","alias_value":"3IVMGEVIXCP7","created_at":"2026-05-18T12:28:11Z"},{"alias_kind":"pith_short_16","alias_value":"3IVMGEVIXCP7HZWN","created_at":"2026-05-18T12:28:11Z"},{"alias_kind":"pith_short_8","alias_value":"3IVMGEVI","created_at":"2026-05-18T12:28:11Z"}],"graph_snapshots":[{"event_id":"sha256:bf7dc36478ff1ae8fcaddbd260b886aad63cd2b597fc00eac40b8c02966cb566","target":"graph","created_at":"2026-05-18T02:41:16Z","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":"We consider the distributed Kalman filtering problem for sensor networks where each node takes the measurement, communicates with its local neighbors, and updates its local estimate and estimation error covariance at the same frequency. In such a scenario, if the target is not directly observed by neither a certain node nor its local neighbors, this node is naive about the target. The well-known Kalman Consensus filter (KCF) has been shown to perform well if there exists no naive node in the network. The case in presence of naive nodes has been considered by the generalized KCF (GKCF) and the ","authors_text":"Shaocheng Wang, Wei Ren, Zhongkui Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2014-10-01T23:16:07Z","title":"Information-driven Fully Distributed Kalman Filter for Sensor Networks in Presence of Naive Nodes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1410.0411","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":"sha256:3dd577f1a923fa6940967bc80e025766097c2f17bed1858a6a645d756002597c","target":"record","created_at":"2026-05-18T02:41:16Z","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":"7bb0b27cadb958fd890137a7f7adaf5c8b66271ee97ee31ed3a772a8524f1007","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2014-10-01T23:16:07Z","title_canon_sha256":"9c91908a66412e447748c92c7bf93577fac57a1d90c9bdf3c99eb7600548f4ec"},"schema_version":"1.0","source":{"id":"1410.0411","kind":"arxiv","version":1}},"canonical_sha256":"da2ac312a8b89ff3e6cd8ca7d3b5d759bc30bef37eb0c56758d17cfc074aa744","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"da2ac312a8b89ff3e6cd8ca7d3b5d759bc30bef37eb0c56758d17cfc074aa744","first_computed_at":"2026-05-18T02:41:16.476216Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:41:16.476216Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"n+a4tWf/MtC3pzH7ngf7bO3QfD8pAImV16jdlxz5EBc+DoADM+rvDeDYuonZNcjwlIKigmGCYQe5Ukl39HVPBw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:41:16.476629Z","signed_message":"canonical_sha256_bytes"},"source_id":"1410.0411","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3dd577f1a923fa6940967bc80e025766097c2f17bed1858a6a645d756002597c","sha256:bf7dc36478ff1ae8fcaddbd260b886aad63cd2b597fc00eac40b8c02966cb566"],"state_sha256":"12c42a61c3663753ba5a98929f053712755d488f7197eff12419c59fb03902fc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wkK7f4hiXZoa5lkkKa0omzTA+rjvV+1q4eEXPsYHqGPlh56MawrqVRTwyXgwx/rcPLjaIHz7l2xuEhefQArrBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T05:53:32.989755Z","bundle_sha256":"572d3d2f4b80e5b75c86ef9670fbdc7ff18880890af58d638bfa99e587f2b966"}}