{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:EYCWWV7BKJ3NXDMSICB6ONE5MD","short_pith_number":"pith:EYCWWV7B","schema_version":"1.0","canonical_sha256":"26056b57e15276db8d924083e7349d60d8deb6e5733cda5a0b1b6536de506fd3","source":{"kind":"arxiv","id":"1904.10607","version":1},"attestation_state":"computed","paper":{"title":"DeepSense: Enabling Carrier Sense in Low-Power Wide Area Networks Using Deep Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Anran Wang, Arvind Krishnamurthy, Justin Chan, Shyamnath Gollakota","submitted_at":"2019-04-24T02:09:27Z","abstract_excerpt":"The last few years have seen the proliferation of low-power wide area networks like LoRa, Sigfox and 802.11ah, each of which use a different and sometimes proprietary coding and modulation scheme, work below the noise floor and operate on the same frequency band.\n  We introduce DeepSense, which is the first carrier sense mechanism that enables random access and coexistence for low-power wide area networks even when signals are below the noise floor. Our key insight is that any communication protocol that operates below the noise floor has to use coding at the physical layer. We show that neura"},"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":"1904.10607","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2019-04-24T02:09:27Z","cross_cats_sorted":[],"title_canon_sha256":"ba4685f4f53379c2ee657a1b9a107904ead0b9f72b9b169e50b68ae2e8289c42","abstract_canon_sha256":"f6ff69e4aed5308044e98b5ba116f2f32c03722eb19f1f9b76df72ff468cd410"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:47:53.261254Z","signature_b64":"Ol3PAN2wZdIdZ1koMMw0m6IPU4mVLELxJqARI0RXRapyrLYcQ10iuCkJgWWQWzTIDCDziYPsDg0gRfXN5etvAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"26056b57e15276db8d924083e7349d60d8deb6e5733cda5a0b1b6536de506fd3","last_reissued_at":"2026-05-17T23:47:53.260684Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:47:53.260684Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"DeepSense: Enabling Carrier Sense in Low-Power Wide Area Networks Using Deep Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Anran Wang, Arvind Krishnamurthy, Justin Chan, Shyamnath Gollakota","submitted_at":"2019-04-24T02:09:27Z","abstract_excerpt":"The last few years have seen the proliferation of low-power wide area networks like LoRa, Sigfox and 802.11ah, each of which use a different and sometimes proprietary coding and modulation scheme, work below the noise floor and operate on the same frequency band.\n  We introduce DeepSense, which is the first carrier sense mechanism that enables random access and coexistence for low-power wide area networks even when signals are below the noise floor. Our key insight is that any communication protocol that operates below the noise floor has to use coding at the physical layer. We show that neura"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.10607","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":""},"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":"1904.10607","created_at":"2026-05-17T23:47:53.260788+00:00"},{"alias_kind":"arxiv_version","alias_value":"1904.10607v1","created_at":"2026-05-17T23:47:53.260788+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.10607","created_at":"2026-05-17T23:47:53.260788+00:00"},{"alias_kind":"pith_short_12","alias_value":"EYCWWV7BKJ3N","created_at":"2026-05-18T12:33:15.570797+00:00"},{"alias_kind":"pith_short_16","alias_value":"EYCWWV7BKJ3NXDMS","created_at":"2026-05-18T12:33:15.570797+00:00"},{"alias_kind":"pith_short_8","alias_value":"EYCWWV7B","created_at":"2026-05-18T12:33:15.570797+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/EYCWWV7BKJ3NXDMSICB6ONE5MD","json":"https://pith.science/pith/EYCWWV7BKJ3NXDMSICB6ONE5MD.json","graph_json":"https://pith.science/api/pith-number/EYCWWV7BKJ3NXDMSICB6ONE5MD/graph.json","events_json":"https://pith.science/api/pith-number/EYCWWV7BKJ3NXDMSICB6ONE5MD/events.json","paper":"https://pith.science/paper/EYCWWV7B"},"agent_actions":{"view_html":"https://pith.science/pith/EYCWWV7BKJ3NXDMSICB6ONE5MD","download_json":"https://pith.science/pith/EYCWWV7BKJ3NXDMSICB6ONE5MD.json","view_paper":"https://pith.science/paper/EYCWWV7B","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1904.10607&json=true","fetch_graph":"https://pith.science/api/pith-number/EYCWWV7BKJ3NXDMSICB6ONE5MD/graph.json","fetch_events":"https://pith.science/api/pith-number/EYCWWV7BKJ3NXDMSICB6ONE5MD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EYCWWV7BKJ3NXDMSICB6ONE5MD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EYCWWV7BKJ3NXDMSICB6ONE5MD/action/storage_attestation","attest_author":"https://pith.science/pith/EYCWWV7BKJ3NXDMSICB6ONE5MD/action/author_attestation","sign_citation":"https://pith.science/pith/EYCWWV7BKJ3NXDMSICB6ONE5MD/action/citation_signature","submit_replication":"https://pith.science/pith/EYCWWV7BKJ3NXDMSICB6ONE5MD/action/replication_record"}},"created_at":"2026-05-17T23:47:53.260788+00:00","updated_at":"2026-05-17T23:47:53.260788+00:00"}