{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HG5462FECFZTJIEP5Y6NGNA3XH","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":"fd68a6752817226a0000f8495771a533f6a3c86e84e13e98da0f189dcc13f7a7","cross_cats_sorted":["cs.AI","cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-18T14:18:02Z","title_canon_sha256":"b62ecea4b5561211ef071b50fcaa632d21eefb58a3210dcd886d329265bafb56"},"schema_version":"1.0","source":{"id":"2504.13990","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.13990","created_at":"2026-07-05T10:51:09Z"},{"alias_kind":"arxiv_version","alias_value":"2504.13990v1","created_at":"2026-07-05T10:51:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.13990","created_at":"2026-07-05T10:51:09Z"},{"alias_kind":"pith_short_12","alias_value":"HG5462FECFZT","created_at":"2026-07-05T10:51:09Z"},{"alias_kind":"pith_short_16","alias_value":"HG5462FECFZTJIEP","created_at":"2026-07-05T10:51:09Z"},{"alias_kind":"pith_short_8","alias_value":"HG5462FE","created_at":"2026-07-05T10:51:09Z"}],"graph_snapshots":[{"event_id":"sha256:7b3314e8b90a4bb85747dbf40e906fca1c20c847e38ea70dc3b8b5b135fc647b","target":"graph","created_at":"2026-07-05T10:51:09Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2504.13990/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Global navigation satellite systems (GNSS) face significant challenges in urban and sub-urban areas due to non-line-of-sight (NLOS) propagation, multipath effects, and low received power levels, resulting in highly non-linear and non-Gaussian measurement error distributions. In light of this, conventional model-based positioning approaches, which rely on Gaussian error approximations, struggle to achieve precise localization under these conditions. To overcome these challenges, we put forth a novel learning-based framework, PC-DeepNet, that employs a permutation-invariant (PI) deep neural netw","authors_text":"Kyeongjun Ko, Md. Ali Hasan, Md. Shafiqul Islam, M. Humayun Kabir, Wonjae Shin","cross_cats":["cs.AI","cs.SY","eess.SY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-18T14:18:02Z","title":"PC-DeepNet: A GNSS Positioning Error Minimization Framework Using Permutation-Invariant Deep Neural Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.13990","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:de311c2b4eb3676e8dc05c274eaf8c697b0e0c555a21c191c9f60124414c78dc","target":"record","created_at":"2026-07-05T10:51:09Z","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":"fd68a6752817226a0000f8495771a533f6a3c86e84e13e98da0f189dcc13f7a7","cross_cats_sorted":["cs.AI","cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-18T14:18:02Z","title_canon_sha256":"b62ecea4b5561211ef071b50fcaa632d21eefb58a3210dcd886d329265bafb56"},"schema_version":"1.0","source":{"id":"2504.13990","kind":"arxiv","version":1}},"canonical_sha256":"39bbcf68a4117334a08fee3cd3341bb9c690f3cc44bd49f7fb87d1b617901004","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"39bbcf68a4117334a08fee3cd3341bb9c690f3cc44bd49f7fb87d1b617901004","first_computed_at":"2026-07-05T10:51:09.289971Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:51:09.289971Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Gra9h9bEBmfe5EJ6jEHnf/0K9Fov4Gott/q+rQzyljrxUVOm7NYO48pQyQgoiR7A4zJ7gNKLxB+ZO9cHH11JBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:51:09.290558Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.13990","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:de311c2b4eb3676e8dc05c274eaf8c697b0e0c555a21c191c9f60124414c78dc","sha256:7b3314e8b90a4bb85747dbf40e906fca1c20c847e38ea70dc3b8b5b135fc647b"],"state_sha256":"7634303d8adec9b561c62211e51798a9b18d0fd149341d9bac831855fa706a89"}