{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:YOMG42UHCFNGALPY2ITGMN7IL2","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":"6bce2bb7f479fd073a98ba603c1020de2cbb10fae2fd4df9a72a22cdf00e9bb6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2016-10-27T21:55:51Z","title_canon_sha256":"726712b7ddbaa2e88742caa380c606897ed3999157ce7dbb003a69af4c53059d"},"schema_version":"1.0","source":{"id":"1610.09020","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.09020","created_at":"2026-05-18T01:00:59Z"},{"alias_kind":"arxiv_version","alias_value":"1610.09020v1","created_at":"2026-05-18T01:00:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.09020","created_at":"2026-05-18T01:00:59Z"},{"alias_kind":"pith_short_12","alias_value":"YOMG42UHCFNG","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_16","alias_value":"YOMG42UHCFNGALPY","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_8","alias_value":"YOMG42UH","created_at":"2026-05-18T12:30:53Z"}],"graph_snapshots":[{"event_id":"sha256:3a9a8ac9c099703299018ac2db4fd16a768b91789de551a46f52c77bc7600293","target":"graph","created_at":"2026-05-18T01:00:59Z","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"},"paper":{"abstract_excerpt":"Real-world network applications must cope with failing nodes, malicious attacks, or, somehow, nodes facing corrupted data --- classified as outliers. One enabling application is the geographic localization of the network nodes. However, despite excellent work on the network localization problem, prior research seldom considered outlier data --- even now, when already deployed networks cry out for robust procedures. We propose robust, fast, and distributed network localization algorithms, resilient to high-power noise, but also precise under regular Gaussian noise. We use the Huber M-estimator ","authors_text":"Cl\\'audia Soares, Jo\\~ao Gomes","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2016-10-27T21:55:51Z","title":"Dealing with bad apples: Robust range-based network localization via distributed relaxation methods"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.09020","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:d6da34cf34f3033bd4edfc256893b2c4a4db1a5a946d78ef42dcf13b40a06cc1","target":"record","created_at":"2026-05-18T01:00:59Z","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":"6bce2bb7f479fd073a98ba603c1020de2cbb10fae2fd4df9a72a22cdf00e9bb6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2016-10-27T21:55:51Z","title_canon_sha256":"726712b7ddbaa2e88742caa380c606897ed3999157ce7dbb003a69af4c53059d"},"schema_version":"1.0","source":{"id":"1610.09020","kind":"arxiv","version":1}},"canonical_sha256":"c3986e6a87115a602df8d2266637e85ebd33b2ff0bfeefeb90830fbd513f96c1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c3986e6a87115a602df8d2266637e85ebd33b2ff0bfeefeb90830fbd513f96c1","first_computed_at":"2026-05-18T01:00:59.415394Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:00:59.415394Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DnhDdn+bcNIqMmYF2bg+0yfOcaI45htRXR3nzKj3Ctrwy2g/3oLXbD/S/q3qc4uUJwtC6+fdMadU1veLbwXEAA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:00:59.416098Z","signed_message":"canonical_sha256_bytes"},"source_id":"1610.09020","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d6da34cf34f3033bd4edfc256893b2c4a4db1a5a946d78ef42dcf13b40a06cc1","sha256:3a9a8ac9c099703299018ac2db4fd16a768b91789de551a46f52c77bc7600293"],"state_sha256":"022da83b5e58938104ebf5d1c4f0dff5f738072e1a2b502f0a97a283cdad1de4"}