{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:YPCU5ODKZBZFVINNXUXT6RN72H","short_pith_number":"pith:YPCU5ODK","schema_version":"1.0","canonical_sha256":"c3c54eb86ac8725aa1adbd2f3f45bfd1ce56cea8f3c9b93730f7920ce4a31ade","source":{"kind":"arxiv","id":"1712.00348","version":1},"attestation_state":"computed","paper":{"title":"WiSpeed: A Statistical Electromagnetic Approach for Device-Free Indoor Speed Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Beibei Wang, Chen Chen, Feng Zhang, K. J. Ray Liu","submitted_at":"2017-11-30T00:25:01Z","abstract_excerpt":"Due to the severe multipath effect, no satisfactory device-free methods have ever been found for indoor speed estimation problem, especially in non-line-of-sight scenarios, where the direct path between the source and observer is blocked. In this paper, we present WiSpeed, a universal low-complexity indoor speed estimation system leveraging radio signals, such as commercial WiFi, LTE, 5G, etc., which can work in both device-free and device-based situations. By exploiting the statistical theory of electromagnetic waves, we establish a link between the autocorrelation function of the physical la"},"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":"1712.00348","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2017-11-30T00:25:01Z","cross_cats_sorted":[],"title_canon_sha256":"392d47612e4162814c4934207d9f402c055bd1f7ef851d69caf2e4dcf9b3051e","abstract_canon_sha256":"0017d9d2150e9361c574cb2de04e176a73e4d7c0fc86d75d0dd9cfed7e3a40d0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:18:52.812308Z","signature_b64":"zNf0LIeKYGpd/MLXA3s2WxWOB2HReCCDkX6LARrijSHjiwOf3AgH49RI35QmLTs/PJWkpoeRZbNBQ+cnP5IHDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c3c54eb86ac8725aa1adbd2f3f45bfd1ce56cea8f3c9b93730f7920ce4a31ade","last_reissued_at":"2026-05-18T00:18:52.811886Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:18:52.811886Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"WiSpeed: A Statistical Electromagnetic Approach for Device-Free Indoor Speed Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Beibei Wang, Chen Chen, Feng Zhang, K. J. Ray Liu","submitted_at":"2017-11-30T00:25:01Z","abstract_excerpt":"Due to the severe multipath effect, no satisfactory device-free methods have ever been found for indoor speed estimation problem, especially in non-line-of-sight scenarios, where the direct path between the source and observer is blocked. In this paper, we present WiSpeed, a universal low-complexity indoor speed estimation system leveraging radio signals, such as commercial WiFi, LTE, 5G, etc., which can work in both device-free and device-based situations. By exploiting the statistical theory of electromagnetic waves, we establish a link between the autocorrelation function of the physical la"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.00348","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":"1712.00348","created_at":"2026-05-18T00:18:52.811944+00:00"},{"alias_kind":"arxiv_version","alias_value":"1712.00348v1","created_at":"2026-05-18T00:18:52.811944+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.00348","created_at":"2026-05-18T00:18:52.811944+00:00"},{"alias_kind":"pith_short_12","alias_value":"YPCU5ODKZBZF","created_at":"2026-05-18T12:31:56.362134+00:00"},{"alias_kind":"pith_short_16","alias_value":"YPCU5ODKZBZFVINN","created_at":"2026-05-18T12:31:56.362134+00:00"},{"alias_kind":"pith_short_8","alias_value":"YPCU5ODK","created_at":"2026-05-18T12:31:56.362134+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/YPCU5ODKZBZFVINNXUXT6RN72H","json":"https://pith.science/pith/YPCU5ODKZBZFVINNXUXT6RN72H.json","graph_json":"https://pith.science/api/pith-number/YPCU5ODKZBZFVINNXUXT6RN72H/graph.json","events_json":"https://pith.science/api/pith-number/YPCU5ODKZBZFVINNXUXT6RN72H/events.json","paper":"https://pith.science/paper/YPCU5ODK"},"agent_actions":{"view_html":"https://pith.science/pith/YPCU5ODKZBZFVINNXUXT6RN72H","download_json":"https://pith.science/pith/YPCU5ODKZBZFVINNXUXT6RN72H.json","view_paper":"https://pith.science/paper/YPCU5ODK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1712.00348&json=true","fetch_graph":"https://pith.science/api/pith-number/YPCU5ODKZBZFVINNXUXT6RN72H/graph.json","fetch_events":"https://pith.science/api/pith-number/YPCU5ODKZBZFVINNXUXT6RN72H/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YPCU5ODKZBZFVINNXUXT6RN72H/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YPCU5ODKZBZFVINNXUXT6RN72H/action/storage_attestation","attest_author":"https://pith.science/pith/YPCU5ODKZBZFVINNXUXT6RN72H/action/author_attestation","sign_citation":"https://pith.science/pith/YPCU5ODKZBZFVINNXUXT6RN72H/action/citation_signature","submit_replication":"https://pith.science/pith/YPCU5ODKZBZFVINNXUXT6RN72H/action/replication_record"}},"created_at":"2026-05-18T00:18:52.811944+00:00","updated_at":"2026-05-18T00:18:52.811944+00:00"}