{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:RPZUGTCKVZQ3J4MC5WA4BDW7HR","short_pith_number":"pith:RPZUGTCK","schema_version":"1.0","canonical_sha256":"8bf3434c4aae61b4f182ed81c08edf3c58fb04d2078418aa722e302190c4297d","source":{"kind":"arxiv","id":"2112.14006","version":2},"attestation_state":"computed","paper":{"title":"Multi-Band Wi-Fi Sensing with Matched Feature Granularity","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.CV","cs.HC","eess.SP"],"primary_cat":"cs.NI","authors_text":"Jianyuan Yu, Philip V. Orlik, Pu (Perry) Wang, R. Michael Buehrer, Toshiaki Koike-Akino, Ye Wang","submitted_at":"2021-12-28T05:50:58Z","abstract_excerpt":"Complementary to the fine-grained channel state information (CSI) from the physical layer and coarse-grained received signal strength indicator (RSSI) measurements, the mid-grained spatial beam attributes (e.g., beam SNR) that are available at millimeter-wave (mmWave) bands during the mandatory beam training phase can be repurposed for Wi-Fi sensing applications. In this paper, we propose a multi-band Wi-Fi fusion method for Wi-Fi sensing that hierarchically fuses the features from both the fine-grained CSI at sub-6 GHz and the mid-grained beam SNR at 60 GHz in a granularity matching framework"},"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":"2112.14006","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.NI","submitted_at":"2021-12-28T05:50:58Z","cross_cats_sorted":["cs.CV","cs.HC","eess.SP"],"title_canon_sha256":"1ddac35afddfecb3ba59ad67c29e7dd7e2191fa90daf1514301a960b5375d983","abstract_canon_sha256":"cb00c89ea6e73fe984b31399bdb815f142c21a402d41ac57e93ba51670462aae"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:54:26.592445Z","signature_b64":"S4o0dHyfD4tRSd6bkroqTIZxAg/swOWttLDUZXKn2lSEtox8HvFhAySgytsQ77vTjMpKXuzqtroOJrGNvt2xBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8bf3434c4aae61b4f182ed81c08edf3c58fb04d2078418aa722e302190c4297d","last_reissued_at":"2026-07-05T03:54:26.591992Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:54:26.591992Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Multi-Band Wi-Fi Sensing with Matched Feature Granularity","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.CV","cs.HC","eess.SP"],"primary_cat":"cs.NI","authors_text":"Jianyuan Yu, Philip V. Orlik, Pu (Perry) Wang, R. Michael Buehrer, Toshiaki Koike-Akino, Ye Wang","submitted_at":"2021-12-28T05:50:58Z","abstract_excerpt":"Complementary to the fine-grained channel state information (CSI) from the physical layer and coarse-grained received signal strength indicator (RSSI) measurements, the mid-grained spatial beam attributes (e.g., beam SNR) that are available at millimeter-wave (mmWave) bands during the mandatory beam training phase can be repurposed for Wi-Fi sensing applications. In this paper, we propose a multi-band Wi-Fi fusion method for Wi-Fi sensing that hierarchically fuses the features from both the fine-grained CSI at sub-6 GHz and the mid-grained beam SNR at 60 GHz in a granularity matching framework"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.14006","kind":"arxiv","version":2},"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/2112.14006/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":"2112.14006","created_at":"2026-07-05T03:54:26.592051+00:00"},{"alias_kind":"arxiv_version","alias_value":"2112.14006v2","created_at":"2026-07-05T03:54:26.592051+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.14006","created_at":"2026-07-05T03:54:26.592051+00:00"},{"alias_kind":"pith_short_12","alias_value":"RPZUGTCKVZQ3","created_at":"2026-07-05T03:54:26.592051+00:00"},{"alias_kind":"pith_short_16","alias_value":"RPZUGTCKVZQ3J4MC","created_at":"2026-07-05T03:54:26.592051+00:00"},{"alias_kind":"pith_short_8","alias_value":"RPZUGTCK","created_at":"2026-07-05T03:54:26.592051+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/RPZUGTCKVZQ3J4MC5WA4BDW7HR","json":"https://pith.science/pith/RPZUGTCKVZQ3J4MC5WA4BDW7HR.json","graph_json":"https://pith.science/api/pith-number/RPZUGTCKVZQ3J4MC5WA4BDW7HR/graph.json","events_json":"https://pith.science/api/pith-number/RPZUGTCKVZQ3J4MC5WA4BDW7HR/events.json","paper":"https://pith.science/paper/RPZUGTCK"},"agent_actions":{"view_html":"https://pith.science/pith/RPZUGTCKVZQ3J4MC5WA4BDW7HR","download_json":"https://pith.science/pith/RPZUGTCKVZQ3J4MC5WA4BDW7HR.json","view_paper":"https://pith.science/paper/RPZUGTCK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2112.14006&json=true","fetch_graph":"https://pith.science/api/pith-number/RPZUGTCKVZQ3J4MC5WA4BDW7HR/graph.json","fetch_events":"https://pith.science/api/pith-number/RPZUGTCKVZQ3J4MC5WA4BDW7HR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RPZUGTCKVZQ3J4MC5WA4BDW7HR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RPZUGTCKVZQ3J4MC5WA4BDW7HR/action/storage_attestation","attest_author":"https://pith.science/pith/RPZUGTCKVZQ3J4MC5WA4BDW7HR/action/author_attestation","sign_citation":"https://pith.science/pith/RPZUGTCKVZQ3J4MC5WA4BDW7HR/action/citation_signature","submit_replication":"https://pith.science/pith/RPZUGTCKVZQ3J4MC5WA4BDW7HR/action/replication_record"}},"created_at":"2026-07-05T03:54:26.592051+00:00","updated_at":"2026-07-05T03:54:26.592051+00:00"}