{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:5GRXK563SBE5MJ5ZL63UIVLAAV","short_pith_number":"pith:5GRXK563","schema_version":"1.0","canonical_sha256":"e9a37577db9049d627b95fb7445560056d741b03290112acb422269086ea0f47","source":{"kind":"arxiv","id":"1809.10085","version":3},"attestation_state":"computed","paper":{"title":"Real-time Interference Identification via Supervised Learning: Embedding Coexistence Awareness in IoT Devices","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Aamir Mahmood, Mikael Gidlund, Simone Grimaldi","submitted_at":"2018-09-24T13:20:56Z","abstract_excerpt":"Energy sampling-based interference detection and identification (IDI) methods collide with the limitations of commercial off-the-shelf (COTS) IoT hardware. Moreover, long sensing times, complexity and inability to track concurrent interference strongly inhibit their applicability in most IoT deployments. Motivated by the increasing need for on-device IDI for wireless coexistence, we develop a lightweight and efficient method targeting interference identification already at the level of single interference bursts. Our method exploits real-time extraction of envelope and model-aided spectral fea"},"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":"1809.10085","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2018-09-24T13:20:56Z","cross_cats_sorted":[],"title_canon_sha256":"fcabb73fcb32fb6d3a83448e6fe4cd1c46a6a0404a7909e6fa2bede2fa754d94","abstract_canon_sha256":"ae086862c904c92661c8629c2742b7879bb5d46dc85a3cc11c9051e570c7e680"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:58:37.505860Z","signature_b64":"lq92YGXPxnJeNhMVSD5jeQ8ybXUTatev/qQpdV4i0zVrJFRNwuT+SGtErxzLPzgodLuuZm3w3Sx+h0hRRMSdDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e9a37577db9049d627b95fb7445560056d741b03290112acb422269086ea0f47","last_reissued_at":"2026-05-17T23:58:37.505111Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:58:37.505111Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Real-time Interference Identification via Supervised Learning: Embedding Coexistence Awareness in IoT Devices","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Aamir Mahmood, Mikael Gidlund, Simone Grimaldi","submitted_at":"2018-09-24T13:20:56Z","abstract_excerpt":"Energy sampling-based interference detection and identification (IDI) methods collide with the limitations of commercial off-the-shelf (COTS) IoT hardware. Moreover, long sensing times, complexity and inability to track concurrent interference strongly inhibit their applicability in most IoT deployments. Motivated by the increasing need for on-device IDI for wireless coexistence, we develop a lightweight and efficient method targeting interference identification already at the level of single interference bursts. Our method exploits real-time extraction of envelope and model-aided spectral fea"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.10085","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"1809.10085","created_at":"2026-05-17T23:58:37.505230+00:00"},{"alias_kind":"arxiv_version","alias_value":"1809.10085v3","created_at":"2026-05-17T23:58:37.505230+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.10085","created_at":"2026-05-17T23:58:37.505230+00:00"},{"alias_kind":"pith_short_12","alias_value":"5GRXK563SBE5","created_at":"2026-05-18T12:32:08.215937+00:00"},{"alias_kind":"pith_short_16","alias_value":"5GRXK563SBE5MJ5Z","created_at":"2026-05-18T12:32:08.215937+00:00"},{"alias_kind":"pith_short_8","alias_value":"5GRXK563","created_at":"2026-05-18T12:32:08.215937+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/5GRXK563SBE5MJ5ZL63UIVLAAV","json":"https://pith.science/pith/5GRXK563SBE5MJ5ZL63UIVLAAV.json","graph_json":"https://pith.science/api/pith-number/5GRXK563SBE5MJ5ZL63UIVLAAV/graph.json","events_json":"https://pith.science/api/pith-number/5GRXK563SBE5MJ5ZL63UIVLAAV/events.json","paper":"https://pith.science/paper/5GRXK563"},"agent_actions":{"view_html":"https://pith.science/pith/5GRXK563SBE5MJ5ZL63UIVLAAV","download_json":"https://pith.science/pith/5GRXK563SBE5MJ5ZL63UIVLAAV.json","view_paper":"https://pith.science/paper/5GRXK563","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1809.10085&json=true","fetch_graph":"https://pith.science/api/pith-number/5GRXK563SBE5MJ5ZL63UIVLAAV/graph.json","fetch_events":"https://pith.science/api/pith-number/5GRXK563SBE5MJ5ZL63UIVLAAV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5GRXK563SBE5MJ5ZL63UIVLAAV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5GRXK563SBE5MJ5ZL63UIVLAAV/action/storage_attestation","attest_author":"https://pith.science/pith/5GRXK563SBE5MJ5ZL63UIVLAAV/action/author_attestation","sign_citation":"https://pith.science/pith/5GRXK563SBE5MJ5ZL63UIVLAAV/action/citation_signature","submit_replication":"https://pith.science/pith/5GRXK563SBE5MJ5ZL63UIVLAAV/action/replication_record"}},"created_at":"2026-05-17T23:58:37.505230+00:00","updated_at":"2026-05-17T23:58:37.505230+00:00"}