{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:S7Z6VS2UPJSV2MF5MF3M75XI2P","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":"b346e27a3df573615fd5f417fdbcf1615c9b6c71c81b0cb4dc16d87b51cf7854","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2024-10-21T09:57:42Z","title_canon_sha256":"ce48bcc9d6cf4f832d9f5cb925e86df2481f2a723cd83fb37b48ad29428eb488"},"schema_version":"1.0","source":{"id":"2410.15837","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.15837","created_at":"2026-07-05T09:23:25Z"},{"alias_kind":"arxiv_version","alias_value":"2410.15837v1","created_at":"2026-07-05T09:23:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.15837","created_at":"2026-07-05T09:23:25Z"},{"alias_kind":"pith_short_12","alias_value":"S7Z6VS2UPJSV","created_at":"2026-07-05T09:23:25Z"},{"alias_kind":"pith_short_16","alias_value":"S7Z6VS2UPJSV2MF5","created_at":"2026-07-05T09:23:25Z"},{"alias_kind":"pith_short_8","alias_value":"S7Z6VS2U","created_at":"2026-07-05T09:23:25Z"}],"graph_snapshots":[{"event_id":"sha256:eaea726cf837a1a6af945c10622a2a34345f64f8468f7bd91ae38b6b01f513c2","target":"graph","created_at":"2026-07-05T09:23:25Z","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/2410.15837/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Geomagnetic navigation has drawn increasing attention with its capacity in navigating through complex environments and its independence from external navigation services like global navigation satellite systems (GNSS). Existing studies on geomagnetic navigation, i.e., matching navigation and bionic navigation, rely on pre-stored map or extensive searches, leading to limited applicability or reduced navigation efficiency in unexplored areas. To address the issues with geomagnetic navigation in areas where GNSS is unavailable, this paper develops a deep reinforcement learning (DRL)-based mechani","authors_text":"Shiliang Zhang, Songnan Yang, Tingwen Huang, Wenqi Bai, Xiaohui Zhang, Yushuai Li","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2024-10-21T09:57:42Z","title":"Long-distance Geomagnetic Navigation in GNSS-denied Environments with Deep Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.15837","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:c4693bbdc8827847662a2e634e204fc4536f2c221befcb37abc4c06018af5879","target":"record","created_at":"2026-07-05T09:23:25Z","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":"b346e27a3df573615fd5f417fdbcf1615c9b6c71c81b0cb4dc16d87b51cf7854","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2024-10-21T09:57:42Z","title_canon_sha256":"ce48bcc9d6cf4f832d9f5cb925e86df2481f2a723cd83fb37b48ad29428eb488"},"schema_version":"1.0","source":{"id":"2410.15837","kind":"arxiv","version":1}},"canonical_sha256":"97f3eacb547a655d30bd6176cff6e8d3c2e542d8e391c7c3ddba7e4e2babecbb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"97f3eacb547a655d30bd6176cff6e8d3c2e542d8e391c7c3ddba7e4e2babecbb","first_computed_at":"2026-07-05T09:23:25.635482Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:23:25.635482Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TwDuibtnEYri6lAhEMTn534d+n+ST/agJW0q1yD9gj/GTDtzUejwb8BOkTWtkEwLWrSrUZbt9uH1kQ4xuWD2AA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:23:25.635962Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.15837","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c4693bbdc8827847662a2e634e204fc4536f2c221befcb37abc4c06018af5879","sha256:eaea726cf837a1a6af945c10622a2a34345f64f8468f7bd91ae38b6b01f513c2"],"state_sha256":"49346f65ae162a18b5f4c122738018fe2f3df14123d7e762d77b3d842db47eeb"}