{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:JNFGISTWB3WVD74P4ZUQW5HCND","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":"811551fb0d24f184ea2e7903e04b96c6ddaa3abf724dcfd9474c5aafeee6b6cd","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-08-04T11:47:31Z","title_canon_sha256":"08b18ab6f9a6aae3693d70f4d9d2f75fb179420059c7c28ebef5b6ac343785ee"},"schema_version":"1.0","source":{"id":"1908.01321","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.01321","created_at":"2026-07-04T23:51:29Z"},{"alias_kind":"arxiv_version","alias_value":"1908.01321v1","created_at":"2026-07-04T23:51:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.01321","created_at":"2026-07-04T23:51:29Z"},{"alias_kind":"pith_short_12","alias_value":"JNFGISTWB3WV","created_at":"2026-07-04T23:51:29Z"},{"alias_kind":"pith_short_16","alias_value":"JNFGISTWB3WVD74P","created_at":"2026-07-04T23:51:29Z"},{"alias_kind":"pith_short_8","alias_value":"JNFGISTW","created_at":"2026-07-04T23:51:29Z"}],"graph_snapshots":[{"event_id":"sha256:2d110c9f71d2227c795a9c378ed4f85c5e84266841f5fe4dd0487b51a329e030","target":"graph","created_at":"2026-07-04T23:51:29Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1908.01321/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Herein, we propose a spatio-temporal extension of RBFNN for nonlinear system identification problem. The proposed algorithm employs the concept of time-space orthogonality and separately models the dynamics and nonlinear complexities of the system. The proposed RBF architecture is explored for the estimation of a highly nonlinear system and results are compared with the standard architecture for both the conventional and fractional gradient decent-based learning rules. The spatio-temporal RBF is shown to perform better than the standard and fractional RBFNNs by achieving fast convergence and s","authors_text":"Alishba Sadiq, Imran Naseem, Jawwad Ahmad, Muhammad Moinuddin, Shujaat Khan","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-08-04T11:47:31Z","title":"Spatio-Temporal RBF Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.01321","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:eac475136405edb0dda05885e89c6fb42980a1148d16c46bcdc8709ebc069d23","target":"record","created_at":"2026-07-04T23:51:29Z","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":"811551fb0d24f184ea2e7903e04b96c6ddaa3abf724dcfd9474c5aafeee6b6cd","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-08-04T11:47:31Z","title_canon_sha256":"08b18ab6f9a6aae3693d70f4d9d2f75fb179420059c7c28ebef5b6ac343785ee"},"schema_version":"1.0","source":{"id":"1908.01321","kind":"arxiv","version":1}},"canonical_sha256":"4b4a644a760eed51ff8fe6690b74e268eceab08811443c4f77d8b442d8f544ce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4b4a644a760eed51ff8fe6690b74e268eceab08811443c4f77d8b442d8f544ce","first_computed_at":"2026-07-04T23:51:29.087057Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:51:29.087057Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F4DyfAFZtMEvbzBme78hkpBfJUnZH7CMO4T4Cixbwis5tzQtq72CIZrFmjTeygMtm2oxJeSKPD2cjl8+slW7Dw==","signature_status":"signed_v1","signed_at":"2026-07-04T23:51:29.087402Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.01321","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eac475136405edb0dda05885e89c6fb42980a1148d16c46bcdc8709ebc069d23","sha256:2d110c9f71d2227c795a9c378ed4f85c5e84266841f5fe4dd0487b51a329e030"],"state_sha256":"446d80c3ff7eaa9a90283cc28327e7ca6a37a6ef08604abc6902f808b3721b2e"}