{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:LARXFAI75CWKPFWPCMI5UJ3NBR","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":"c121b30f166a7a31e94a9664fe9226b13942c450094ac074a96292d12a6b7113","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2014-11-27T15:50:47Z","title_canon_sha256":"efbedcefe9a91319b05fab47df2f6aced3a03323b54603db77f90bde1a5132bc"},"schema_version":"1.0","source":{"id":"1411.7632","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1411.7632","created_at":"2026-05-18T00:26:09Z"},{"alias_kind":"arxiv_version","alias_value":"1411.7632v3","created_at":"2026-05-18T00:26:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1411.7632","created_at":"2026-05-18T00:26:09Z"},{"alias_kind":"pith_short_12","alias_value":"LARXFAI75CWK","created_at":"2026-05-18T12:28:35Z"},{"alias_kind":"pith_short_16","alias_value":"LARXFAI75CWKPFWP","created_at":"2026-05-18T12:28:35Z"},{"alias_kind":"pith_short_8","alias_value":"LARXFAI7","created_at":"2026-05-18T12:28:35Z"}],"graph_snapshots":[{"event_id":"sha256:517772c6f3b0ff11aa3075e054280a3014b64d75266badb31abdab010b5cca65","target":"graph","created_at":"2026-05-18T00:26:09Z","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":"Sequential rate-distortion (SRD) theory provides a framework for studying the fundamental trade-off between data-rate and data-quality in real-time communication systems. In this paper, we consider the SRD problem for multi-dimensional time-varying Gauss-Markov processes under mean-square distortion criteria. We first revisit the sensor-estimator separation principle, which asserts that considered SRD problem is equivalent to a joint sensor and estimator design problem in which data-rate of the sensor output is minimized while the estimator's performance satisfies the distortion criteria. We t","authors_text":"Kwang-Ki K. Kim, Pablo A. Parrilo, Sanjoy K. Mitter, Takashi Tanaka","cross_cats":["cs.IT","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2014-11-27T15:50:47Z","title":"Semidefinite Programming Approach to Gaussian Sequential Rate-Distortion Trade-offs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1411.7632","kind":"arxiv","version":3},"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":"sha256:002e02f4efc34aa33d12234df2355e05d6714405156fc6e6116f7f6e1b869259","target":"record","created_at":"2026-05-18T00:26:09Z","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":"c121b30f166a7a31e94a9664fe9226b13942c450094ac074a96292d12a6b7113","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2014-11-27T15:50:47Z","title_canon_sha256":"efbedcefe9a91319b05fab47df2f6aced3a03323b54603db77f90bde1a5132bc"},"schema_version":"1.0","source":{"id":"1411.7632","kind":"arxiv","version":3}},"canonical_sha256":"582372811fe8aca796cf1311da276d0c55fb70df1b541f0d098de55437722cb0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"582372811fe8aca796cf1311da276d0c55fb70df1b541f0d098de55437722cb0","first_computed_at":"2026-05-18T00:26:09.103099Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:26:09.103099Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EFVEWvi758uWDjwZ31Jsf7qF9xT01DG4PFQwmOc/Bi9pvv/T7aIGab+3PEsCut1xYfO5etrGUHgWcdEbwERjAA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:26:09.103570Z","signed_message":"canonical_sha256_bytes"},"source_id":"1411.7632","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:002e02f4efc34aa33d12234df2355e05d6714405156fc6e6116f7f6e1b869259","sha256:517772c6f3b0ff11aa3075e054280a3014b64d75266badb31abdab010b5cca65"],"state_sha256":"f3eba7e8a7a65951ced75c483c40c7e2533298e8decbc3da5fd7a3161fa47334"}