{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:M6FPEXCTXMZ2YXWWRC3RDNXLFN","short_pith_number":"pith:M6FPEXCT","schema_version":"1.0","canonical_sha256":"678af25c53bb33ac5ed688b711b6eb2b6d58e24e93b7cb77905257f139591270","source":{"kind":"arxiv","id":"2110.00583","version":1},"attestation_state":"computed","paper":{"title":"Wideband Signal Localization with Spectral Segmentation","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Nathan West, Tamoghna Roy, Timothy O'Shea","submitted_at":"2021-10-01T16:39:49Z","abstract_excerpt":"Signal localization is a spectrum sensing problem that jointly detects the presence of a signal and estimates a center frequency and bandwidth. This is a step beyond most spectrum sensing work which estimates \"present\" or \"not present\" detections for either a single channel or fixed sized channels. We define the signal localization task, present the metrics of precision and recall, and establish baselines for traditional energy detection on this task. We introduce a new dataset that is useful for training neural networks to perform this task and show a training framework to train signal detect"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2110.00583","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2021-10-01T16:39:49Z","cross_cats_sorted":[],"title_canon_sha256":"0c9d88d7e2964b8aada8d49142d9c0ae0ec19252f3d74c3c673da42faddaae54","abstract_canon_sha256":"2a54ac95a965603a98323791d30c39c4da0b1cc70e2e298d3450d6b7f0ef580b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:19:31.739573Z","signature_b64":"iAnU8lxQvGGfU9N+CpIUPB79zDeEvbqqrK2RQrMfYF/oWzMMragw8At3SBdYYliTBPmi0xj+laguGZjxT6cxBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"678af25c53bb33ac5ed688b711b6eb2b6d58e24e93b7cb77905257f139591270","last_reissued_at":"2026-07-05T03:19:31.739154Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:19:31.739154Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Wideband Signal Localization with Spectral Segmentation","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Nathan West, Tamoghna Roy, Timothy O'Shea","submitted_at":"2021-10-01T16:39:49Z","abstract_excerpt":"Signal localization is a spectrum sensing problem that jointly detects the presence of a signal and estimates a center frequency and bandwidth. This is a step beyond most spectrum sensing work which estimates \"present\" or \"not present\" detections for either a single channel or fixed sized channels. We define the signal localization task, present the metrics of precision and recall, and establish baselines for traditional energy detection on this task. We introduce a new dataset that is useful for training neural networks to perform this task and show a training framework to train signal detect"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.00583","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2110.00583/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2110.00583","created_at":"2026-07-05T03:19:31.739216+00:00"},{"alias_kind":"arxiv_version","alias_value":"2110.00583v1","created_at":"2026-07-05T03:19:31.739216+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.00583","created_at":"2026-07-05T03:19:31.739216+00:00"},{"alias_kind":"pith_short_12","alias_value":"M6FPEXCTXMZ2","created_at":"2026-07-05T03:19:31.739216+00:00"},{"alias_kind":"pith_short_16","alias_value":"M6FPEXCTXMZ2YXWW","created_at":"2026-07-05T03:19:31.739216+00:00"},{"alias_kind":"pith_short_8","alias_value":"M6FPEXCT","created_at":"2026-07-05T03:19:31.739216+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/M6FPEXCTXMZ2YXWWRC3RDNXLFN","json":"https://pith.science/pith/M6FPEXCTXMZ2YXWWRC3RDNXLFN.json","graph_json":"https://pith.science/api/pith-number/M6FPEXCTXMZ2YXWWRC3RDNXLFN/graph.json","events_json":"https://pith.science/api/pith-number/M6FPEXCTXMZ2YXWWRC3RDNXLFN/events.json","paper":"https://pith.science/paper/M6FPEXCT"},"agent_actions":{"view_html":"https://pith.science/pith/M6FPEXCTXMZ2YXWWRC3RDNXLFN","download_json":"https://pith.science/pith/M6FPEXCTXMZ2YXWWRC3RDNXLFN.json","view_paper":"https://pith.science/paper/M6FPEXCT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2110.00583&json=true","fetch_graph":"https://pith.science/api/pith-number/M6FPEXCTXMZ2YXWWRC3RDNXLFN/graph.json","fetch_events":"https://pith.science/api/pith-number/M6FPEXCTXMZ2YXWWRC3RDNXLFN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/M6FPEXCTXMZ2YXWWRC3RDNXLFN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/M6FPEXCTXMZ2YXWWRC3RDNXLFN/action/storage_attestation","attest_author":"https://pith.science/pith/M6FPEXCTXMZ2YXWWRC3RDNXLFN/action/author_attestation","sign_citation":"https://pith.science/pith/M6FPEXCTXMZ2YXWWRC3RDNXLFN/action/citation_signature","submit_replication":"https://pith.science/pith/M6FPEXCTXMZ2YXWWRC3RDNXLFN/action/replication_record"}},"created_at":"2026-07-05T03:19:31.739216+00:00","updated_at":"2026-07-05T03:19:31.739216+00:00"}