{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:V4CM45BNOF5YAQ3MPME3PBJYCL","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":"4695f8458e39514606f13c433ce5966be05775ba9f6e74bab27f0ab6a90ef8a1","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2020-08-11T18:50:38Z","title_canon_sha256":"f23fac81f5f2614e1439bd2c7f540be94516b67696fb971bf5d5864a06e7140f"},"schema_version":"1.0","source":{"id":"2008.05948","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.05948","created_at":"2026-07-05T03:29:27Z"},{"alias_kind":"arxiv_version","alias_value":"2008.05948v2","created_at":"2026-07-05T03:29:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.05948","created_at":"2026-07-05T03:29:27Z"},{"alias_kind":"pith_short_12","alias_value":"V4CM45BNOF5Y","created_at":"2026-07-05T03:29:27Z"},{"alias_kind":"pith_short_16","alias_value":"V4CM45BNOF5YAQ3M","created_at":"2026-07-05T03:29:27Z"},{"alias_kind":"pith_short_8","alias_value":"V4CM45BN","created_at":"2026-07-05T03:29:27Z"}],"graph_snapshots":[{"event_id":"sha256:61be41825e7899e2052d360610589122bb122d65b053ca6c88b89544f82492b5","target":"graph","created_at":"2026-07-05T03:29:27Z","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/2008.05948/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Radar sensors are gradually becoming a wide-spread equipment for road vehicles, playing a crucial role in autonomous driving and road safety. The broad adoption of radar sensors increases the chance of interference among sensors from different vehicles, generating corrupted range profiles and range-Doppler maps. In order to extract distance and velocity of multiple targets from range-Doppler maps, the interference affecting each range profile needs to be mitigated. In this paper, we propose a fully convolutional neural network for automotive radar interference mitigation. In order to train our","authors_text":"Andrei Anghel, Nicolae-C\\u{a}t\\u{a}lin Ristea, Radu Tudor Ionescu","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2020-08-11T18:50:38Z","title":"Estimating the Magnitude and Phase of Automotive Radar Signals under Multiple Interference Sources with Fully Convolutional Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.05948","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":"sha256:0ded09f8819750c347538d7630fae0d58a4d2bc9605681f26b74430117c07e9a","target":"record","created_at":"2026-07-05T03:29:27Z","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":"4695f8458e39514606f13c433ce5966be05775ba9f6e74bab27f0ab6a90ef8a1","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2020-08-11T18:50:38Z","title_canon_sha256":"f23fac81f5f2614e1439bd2c7f540be94516b67696fb971bf5d5864a06e7140f"},"schema_version":"1.0","source":{"id":"2008.05948","kind":"arxiv","version":2}},"canonical_sha256":"af04ce742d717b80436c7b09b7853812f9d1d785a6e4632c82e4006ddf3bcfd1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"af04ce742d717b80436c7b09b7853812f9d1d785a6e4632c82e4006ddf3bcfd1","first_computed_at":"2026-07-05T03:29:27.493040Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:29:27.493040Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"G2p+WGyFQcDXnel0VWPfCRhigGNYvaQx6ze6K6dB63I+nwNpx0LaY9eNXUiPx26t+kv5m/CLkHXgadEIgF9uAA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:29:27.493457Z","signed_message":"canonical_sha256_bytes"},"source_id":"2008.05948","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0ded09f8819750c347538d7630fae0d58a4d2bc9605681f26b74430117c07e9a","sha256:61be41825e7899e2052d360610589122bb122d65b053ca6c88b89544f82492b5"],"state_sha256":"4a75479f99902a2e255dd403687879ddd92811315023d701628caef13921dd30"}