{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XAGCE6HPNQH7VFIZOKLR2V6HHQ","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":"1d37188f9ea16771d32d064d1e37fa6f19a63bbb284c6e6c26a5de6bccab17ee","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-03-06T20:04:36Z","title_canon_sha256":"97605a1788ab8e9625a24efc75a7362b4b2f36b22d657809e9238bfef8719ecd"},"schema_version":"1.0","source":{"id":"2503.04933","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.04933","created_at":"2026-07-05T10:25:51Z"},{"alias_kind":"arxiv_version","alias_value":"2503.04933v1","created_at":"2026-07-05T10:25:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.04933","created_at":"2026-07-05T10:25:51Z"},{"alias_kind":"pith_short_12","alias_value":"XAGCE6HPNQH7","created_at":"2026-07-05T10:25:51Z"},{"alias_kind":"pith_short_16","alias_value":"XAGCE6HPNQH7VFIZ","created_at":"2026-07-05T10:25:51Z"},{"alias_kind":"pith_short_8","alias_value":"XAGCE6HP","created_at":"2026-07-05T10:25:51Z"}],"graph_snapshots":[{"event_id":"sha256:eb00c536cd16477e3003a6dce014a8146723af98a96ecc3e2ea2ec8744baaff5","target":"graph","created_at":"2026-07-05T10:25:51Z","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/2503.04933/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This short paper presents research findings on two learning-based methods for quantifying measurement uncertainties in global navigation satellite systems (GNSS). We investigate two learning strategies: offline learning for outlier prediction and online learning for noise distribution approximation, specifically applied to GNSS pseudorange observations. To develop and evaluate these learning methods, we introduce a novel multisensor state estimator that accurately and robustly estimates trajectory from multiple sensor inputs, critical for deriving GNSS measurement residuals used to train the u","authors_text":"Haoming Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-03-06T20:04:36Z","title":"Learning-based GNSS Uncertainty Quantification using Continuous-Time Factor Graph Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.04933","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:cb9a848f4b55f23e994c7afeef76e31dcc89450a5af23457fae92caa7a67678c","target":"record","created_at":"2026-07-05T10:25:51Z","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":"1d37188f9ea16771d32d064d1e37fa6f19a63bbb284c6e6c26a5de6bccab17ee","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-03-06T20:04:36Z","title_canon_sha256":"97605a1788ab8e9625a24efc75a7362b4b2f36b22d657809e9238bfef8719ecd"},"schema_version":"1.0","source":{"id":"2503.04933","kind":"arxiv","version":1}},"canonical_sha256":"b80c2278ef6c0ffa951972971d57c73c063f9c5652b6e1bb829116b3655e9712","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b80c2278ef6c0ffa951972971d57c73c063f9c5652b6e1bb829116b3655e9712","first_computed_at":"2026-07-05T10:25:51.755025Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:25:51.755025Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RtRO0+p0uuWVZIiBfgdzSB2zLvwTPiuWgDRnVox7HHn+QJOQEHKZQvde8SE2bQsmQR3YniAKX5eoJNVhlJwoBg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:25:51.755571Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.04933","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cb9a848f4b55f23e994c7afeef76e31dcc89450a5af23457fae92caa7a67678c","sha256:eb00c536cd16477e3003a6dce014a8146723af98a96ecc3e2ea2ec8744baaff5"],"state_sha256":"e9c8cc073b45a8e7dd6267c319d0fa9d5229b5bcba27580d3449252aa5820f3d"}