{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:XOH7E5DJXZ2SNYBUXYHH6OPNRO","short_pith_number":"pith:XOH7E5DJ","canonical_record":{"source":{"id":"1709.03026","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2017-09-10T01:29:15Z","cross_cats_sorted":["cs.IT","math.IT"],"title_canon_sha256":"048db39768faf9e1bcb82d01d946c401bff8713cc856e7fec3614f344ec72c06","abstract_canon_sha256":"5f3b71fca8c911769a2c0fc929ccfe3a434faea05338e8425573c58cac738c3b"},"schema_version":"1.0"},"canonical_sha256":"bb8ff27469be7526e034be0e7f39ed8b84c47fc87a78a3c28b2449427a94b549","source":{"kind":"arxiv","id":"1709.03026","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.03026","created_at":"2026-05-18T00:35:39Z"},{"alias_kind":"arxiv_version","alias_value":"1709.03026v1","created_at":"2026-05-18T00:35:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.03026","created_at":"2026-05-18T00:35:39Z"},{"alias_kind":"pith_short_12","alias_value":"XOH7E5DJXZ2S","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"XOH7E5DJXZ2SNYBU","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"XOH7E5DJ","created_at":"2026-05-18T12:31:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:XOH7E5DJXZ2SNYBUXYHH6OPNRO","target":"record","payload":{"canonical_record":{"source":{"id":"1709.03026","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2017-09-10T01:29:15Z","cross_cats_sorted":["cs.IT","math.IT"],"title_canon_sha256":"048db39768faf9e1bcb82d01d946c401bff8713cc856e7fec3614f344ec72c06","abstract_canon_sha256":"5f3b71fca8c911769a2c0fc929ccfe3a434faea05338e8425573c58cac738c3b"},"schema_version":"1.0"},"canonical_sha256":"bb8ff27469be7526e034be0e7f39ed8b84c47fc87a78a3c28b2449427a94b549","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:35:39.653222Z","signature_b64":"+qfPUeZy+JKhqCEVV52NjkLKs0vqz12ZJbURYQ17I6R6zj/hxmb81dF4dj0jxCbLRlc0ohJIa6OEb99uwGeRCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bb8ff27469be7526e034be0e7f39ed8b84c47fc87a78a3c28b2449427a94b549","last_reissued_at":"2026-05-18T00:35:39.652579Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:35:39.652579Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1709.03026","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":"2026-05-18T00:35:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lYK/VJ04EQZM55UXRGIaQaDN1Rpg/AL2dXPyRxnZRHh6eK2ZMuIXVHojpWjdSIDTetxhPVXJQ3v4WTD9cNgYDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T00:40:51.310183Z"},"content_sha256":"4d0b148e78c5dd1711dd8d2634837ad8b93484754dccd1eccebddbf1c5aaa757","schema_version":"1.0","event_id":"sha256:4d0b148e78c5dd1711dd8d2634837ad8b93484754dccd1eccebddbf1c5aaa757"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:XOH7E5DJXZ2SNYBUXYHH6OPNRO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Optimal Sensor Design and Zero-Delay Source Coding for Continuous-Time Vector Gauss-Markov Processes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IT","math.IT"],"primary_cat":"math.OC","authors_text":"Mikael Skoglund, Takashi Tanaka, Valeri Ugrinovskii","submitted_at":"2017-09-10T01:29:15Z","abstract_excerpt":"We consider the situation in which a continuous-time vector Gauss-Markov process is observed through a vector Gaussian channel (sensor) and estimated by the Kalman-Bucy filter. Unlike in standard filtering problems where a sensor model is given a priori, we are concerned with the optimal sensor design by which (i) the mutual information between the source random process and the reproduction (estimation) process is minimized, and (ii) the minimum mean-square estimation error meets a given distortion constraint. We show that such a sensor design problem is tractable by semidefinite programming. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.03026","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":"2026-05-18T00:35:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ylbupu3OIxVyq//WJaS/9vs9s/ciGWdz7s1Um/3JTANMYk8zPKWIGWS+tptKI+kL8F5GCsSas5AtPQyD65tXCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T00:40:51.310548Z"},"content_sha256":"ac915d50cb0285de71ab914f32fafe5f5c414b102eccc0359c89527780e876de","schema_version":"1.0","event_id":"sha256:ac915d50cb0285de71ab914f32fafe5f5c414b102eccc0359c89527780e876de"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XOH7E5DJXZ2SNYBUXYHH6OPNRO/bundle.json","state_url":"https://pith.science/pith/XOH7E5DJXZ2SNYBUXYHH6OPNRO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XOH7E5DJXZ2SNYBUXYHH6OPNRO/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":"2026-06-23T00:40:51Z","links":{"resolver":"https://pith.science/pith/XOH7E5DJXZ2SNYBUXYHH6OPNRO","bundle":"https://pith.science/pith/XOH7E5DJXZ2SNYBUXYHH6OPNRO/bundle.json","state":"https://pith.science/pith/XOH7E5DJXZ2SNYBUXYHH6OPNRO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XOH7E5DJXZ2SNYBUXYHH6OPNRO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:XOH7E5DJXZ2SNYBUXYHH6OPNRO","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":"5f3b71fca8c911769a2c0fc929ccfe3a434faea05338e8425573c58cac738c3b","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2017-09-10T01:29:15Z","title_canon_sha256":"048db39768faf9e1bcb82d01d946c401bff8713cc856e7fec3614f344ec72c06"},"schema_version":"1.0","source":{"id":"1709.03026","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.03026","created_at":"2026-05-18T00:35:39Z"},{"alias_kind":"arxiv_version","alias_value":"1709.03026v1","created_at":"2026-05-18T00:35:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.03026","created_at":"2026-05-18T00:35:39Z"},{"alias_kind":"pith_short_12","alias_value":"XOH7E5DJXZ2S","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"XOH7E5DJXZ2SNYBU","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"XOH7E5DJ","created_at":"2026-05-18T12:31:56Z"}],"graph_snapshots":[{"event_id":"sha256:ac915d50cb0285de71ab914f32fafe5f5c414b102eccc0359c89527780e876de","target":"graph","created_at":"2026-05-18T00:35:39Z","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 situation in which a continuous-time vector Gauss-Markov process is observed through a vector Gaussian channel (sensor) and estimated by the Kalman-Bucy filter. Unlike in standard filtering problems where a sensor model is given a priori, we are concerned with the optimal sensor design by which (i) the mutual information between the source random process and the reproduction (estimation) process is minimized, and (ii) the minimum mean-square estimation error meets a given distortion constraint. We show that such a sensor design problem is tractable by semidefinite programming. ","authors_text":"Mikael Skoglund, Takashi Tanaka, Valeri Ugrinovskii","cross_cats":["cs.IT","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2017-09-10T01:29:15Z","title":"Optimal Sensor Design and Zero-Delay Source Coding for Continuous-Time Vector Gauss-Markov Processes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.03026","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":"sha256:4d0b148e78c5dd1711dd8d2634837ad8b93484754dccd1eccebddbf1c5aaa757","target":"record","created_at":"2026-05-18T00:35:39Z","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":"5f3b71fca8c911769a2c0fc929ccfe3a434faea05338e8425573c58cac738c3b","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2017-09-10T01:29:15Z","title_canon_sha256":"048db39768faf9e1bcb82d01d946c401bff8713cc856e7fec3614f344ec72c06"},"schema_version":"1.0","source":{"id":"1709.03026","kind":"arxiv","version":1}},"canonical_sha256":"bb8ff27469be7526e034be0e7f39ed8b84c47fc87a78a3c28b2449427a94b549","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bb8ff27469be7526e034be0e7f39ed8b84c47fc87a78a3c28b2449427a94b549","first_computed_at":"2026-05-18T00:35:39.652579Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:35:39.652579Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+qfPUeZy+JKhqCEVV52NjkLKs0vqz12ZJbURYQ17I6R6zj/hxmb81dF4dj0jxCbLRlc0ohJIa6OEb99uwGeRCw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:35:39.653222Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.03026","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4d0b148e78c5dd1711dd8d2634837ad8b93484754dccd1eccebddbf1c5aaa757","sha256:ac915d50cb0285de71ab914f32fafe5f5c414b102eccc0359c89527780e876de"],"state_sha256":"a9e8076f0b22e73fe191c9f4aba00d5c936a68b8b6cf2ad9f98e9274d137bf69"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c+PH9SlQmBS4bMiqXRi6hlYL1nNEgF2eTKfPeSXsF8HVKIhuhZlLO2VNG5dB6B42pEOTITQ5vG/5mQnhwga5Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-23T00:40:51.312479Z","bundle_sha256":"05b1ad45530a8a4cdc5fa10dced8f14fd322b6a18940735536333a5e844b45e1"}}