{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:JU22MCEUOD7NL2FCOHJF452TSN","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":"88edfbf3bc777acab731030cf9115df731d8cda7be0553b35dcd894a82d9c707","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2023-04-16T16:36:21Z","title_canon_sha256":"7545682c28e1715224dba0995f38dec012c39952c71a8425da12bafd4673dcc1"},"schema_version":"1.0","source":{"id":"2304.07827","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.07827","created_at":"2026-07-05T06:02:50Z"},{"alias_kind":"arxiv_version","alias_value":"2304.07827v2","created_at":"2026-07-05T06:02:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.07827","created_at":"2026-07-05T06:02:50Z"},{"alias_kind":"pith_short_12","alias_value":"JU22MCEUOD7N","created_at":"2026-07-05T06:02:50Z"},{"alias_kind":"pith_short_16","alias_value":"JU22MCEUOD7NL2FC","created_at":"2026-07-05T06:02:50Z"},{"alias_kind":"pith_short_8","alias_value":"JU22MCEU","created_at":"2026-07-05T06:02:50Z"}],"graph_snapshots":[{"event_id":"sha256:e2468962653b9441ce443231f6915ef3407147e77d7d92bb402865d84ebb2ed1","target":"graph","created_at":"2026-07-05T06:02:50Z","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/2304.07827/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Kalman filter (KF) is a widely-used algorithm for tracking dynamic systems that are captured by state space (SS) models. The need to fully describe a SS model limits its applicability under complex settings, e.g., when tracking based on visual data, and the processing of high-dimensional signals often induces notable latency. These challenges can be treated by mapping the measurements into latent features obeying some postulated closed-form SS model, and applying the KF in the latent space. However, the validity of this approximated SS model may constitute a limiting factor. In this work, ","authors_text":"Damiano Steger, Guy Revach, Itay Buchnik, Nir Shlezinger, Ruud J. G. van Sloun, Tirza Routtenberg","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2023-04-16T16:36:21Z","title":"Latent-KalmanNet: Learned Kalman Filtering for Tracking from High-Dimensional Signals"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.07827","kind":"arxiv","version":2},"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:f09694d7a3fae8402310c0744a92ee240c8a42be7be3953a505ac02432c70292","target":"record","created_at":"2026-07-05T06:02:50Z","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":"88edfbf3bc777acab731030cf9115df731d8cda7be0553b35dcd894a82d9c707","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2023-04-16T16:36:21Z","title_canon_sha256":"7545682c28e1715224dba0995f38dec012c39952c71a8425da12bafd4673dcc1"},"schema_version":"1.0","source":{"id":"2304.07827","kind":"arxiv","version":2}},"canonical_sha256":"4d35a6089470fed5e8a271d25e7753937d7f11766004fbc75cfbe399c0b7839f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4d35a6089470fed5e8a271d25e7753937d7f11766004fbc75cfbe399c0b7839f","first_computed_at":"2026-07-05T06:02:50.697116Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:02:50.697116Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dwLN0Kep3sWQ3dezJ7Lu1SIkYbbQxnFrzGnQLmv8F80+gQkLmLYpgzFUYpUEzdjgeG7M9FoQD6J604ev91AHAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:02:50.697601Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.07827","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f09694d7a3fae8402310c0744a92ee240c8a42be7be3953a505ac02432c70292","sha256:e2468962653b9441ce443231f6915ef3407147e77d7d92bb402865d84ebb2ed1"],"state_sha256":"0097c8e09060b4171bc1d382ab3e431416d525d5c6904b8571630d31381225a7"}