{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:KGK4WUXSD5ZCLUMH7AXYYGVFE7","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"e61869954e38105d560aa08abd4abec57158f19523b3aa1f96693a7396385f0e","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2026-08-01T17:57:36Z","title_canon_sha256":"1003f82ef5707908c16a7ef9c5258cde89ef652d7c0b40e85e25cde020dc3064"},"schema_version":"1.0","source":{"id":"2608.00796","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.00796","created_at":"2026-08-04T01:55:09Z"},{"alias_kind":"arxiv_version","alias_value":"2608.00796v1","created_at":"2026-08-04T01:55:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.00796","created_at":"2026-08-04T01:55:09Z"},{"alias_kind":"pith_short_12","alias_value":"KGK4WUXSD5ZC","created_at":"2026-08-04T01:55:09Z"},{"alias_kind":"pith_short_16","alias_value":"KGK4WUXSD5ZCLUMH","created_at":"2026-08-04T01:55:09Z"},{"alias_kind":"pith_short_8","alias_value":"KGK4WUXS","created_at":"2026-08-04T01:55:09Z"}],"graph_snapshots":[{"event_id":"sha256:bf1d73f38d35eafd0d4995a6a4a94b4bcee4cea7fe41b5e7decb9e7b9c771eff","target":"graph","created_at":"2026-08-04T01:55:09Z","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/2608.00796/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automatic RF modulation recognition is of critical importance in spectrum monitoring, electronic warfare, and cognitive radio applications, where low signal-to-noise ratio (SNR) conditions and the growing diversity of modulation schemes limit the performance of existing methods. This paper proposes an uncertainty-driven hybrid deep learning architecture for recognizing RF signals over a broad modulation space. The proposed approach carries out a multi-stage classification process by combining spectral information obtained through low-cost FFT-based preprocessing with time-frequency features ex","authors_text":"Alperen Marasli, Durdu Can Yerdeyatar, Muhammet Sefa Demirel, Nurettin Safak, Ozgun Ersoy, Taha Eren Atmaca","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2026-08-01T17:57:36Z","title":"An Uncertainty-Driven Hybrid Deep Learning Approach for Broad-Coverage RF Modulation Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.00796","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:a1afc06217d142650b0699b4fe5459c960ee2e3152dcfe86cbe858da0f61685b","target":"record","created_at":"2026-08-04T01:55:09Z","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":"e61869954e38105d560aa08abd4abec57158f19523b3aa1f96693a7396385f0e","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2026-08-01T17:57:36Z","title_canon_sha256":"1003f82ef5707908c16a7ef9c5258cde89ef652d7c0b40e85e25cde020dc3064"},"schema_version":"1.0","source":{"id":"2608.00796","kind":"arxiv","version":1}},"canonical_sha256":"5195cb52f21f7225d187f82f8c1aa527fa95fce6dbdc5d4048e93e81d74005d4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5195cb52f21f7225d187f82f8c1aa527fa95fce6dbdc5d4048e93e81d74005d4","first_computed_at":"2026-08-04T01:55:09.866635Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-04T01:55:09.866635Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MoPxfrYjwAF4ENt9yI4XE1w6x1Vrh6E5IP/MeN4M18RTr0xfsTGNgOAmgw556cpr4SyiB/agd0DgeM7Osy0NCQ==","signature_status":"signed_v1","signed_at":"2026-08-04T01:55:09.868393Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.00796","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a1afc06217d142650b0699b4fe5459c960ee2e3152dcfe86cbe858da0f61685b","sha256:bf1d73f38d35eafd0d4995a6a4a94b4bcee4cea7fe41b5e7decb9e7b9c771eff","sha256:d51a19c4fa66b7e60b36e47abddc33cc82c1f508f1dca22eccb13727028b1af6"],"state_sha256":"a0c840b1d498a892822c57df9320c922f913cd9da08aff11197ae96e80f09272"}