{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:QW2WSZ5ZLDJ64BAN2FCW7IRFWP","short_pith_number":"pith:QW2WSZ5Z","schema_version":"1.0","canonical_sha256":"85b56967b958d3ee040dd1456fa225b3e5fab223f2017239867e526ed7667b2a","source":{"kind":"arxiv","id":"2206.02442","version":1},"attestation_state":"computed","paper":{"title":"Pervasive wireless channel modeling theory and applications to 6G GBSMs for all frequency bands and all scenarios","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Cheng-Xiang Wang, Harald Haas, Xiaohu You, Xiqi Gao, Yang Hao, Zhen Lv","submitted_at":"2022-06-06T09:05:27Z","abstract_excerpt":"In this paper, a pervasive wireless channel modeling theory is first proposed, which uses a unified channel modeling method and a unified equation of channel impulse response (CIR), and can integrate important channel characteristics at different frequency bands and scenarios. Then, we apply the proposed theory to a three dimensional (3D) space-time-frequency (STF) non-stationary geometry-based stochastic model (GBSM) for the sixth generation (6G) wireless communication systems. The proposed 6G pervasive channel model (6GPCM) can characterize statistical properties of channels at all frequency"},"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":"2206.02442","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2022-06-06T09:05:27Z","cross_cats_sorted":[],"title_canon_sha256":"27361036c28f271762db69dbd256ab82c3d7dba8b5369c88f8609f02453fae89","abstract_canon_sha256":"c1a22a6b8b7f449b8780543efa857a010836f5722f9f561bcbfe74cd22c8db7f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:29:17.983493Z","signature_b64":"TWdc56zEmLAdJZ+VQdIjx6IzlbU/8cOhzkJVVJqCpwWN72rWKum+q/zVz31ax2Pc5vd3g9Ck+wZa7a44tUC5AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"85b56967b958d3ee040dd1456fa225b3e5fab223f2017239867e526ed7667b2a","last_reissued_at":"2026-07-05T04:29:17.983145Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:29:17.983145Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Pervasive wireless channel modeling theory and applications to 6G GBSMs for all frequency bands and all scenarios","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Cheng-Xiang Wang, Harald Haas, Xiaohu You, Xiqi Gao, Yang Hao, Zhen Lv","submitted_at":"2022-06-06T09:05:27Z","abstract_excerpt":"In this paper, a pervasive wireless channel modeling theory is first proposed, which uses a unified channel modeling method and a unified equation of channel impulse response (CIR), and can integrate important channel characteristics at different frequency bands and scenarios. Then, we apply the proposed theory to a three dimensional (3D) space-time-frequency (STF) non-stationary geometry-based stochastic model (GBSM) for the sixth generation (6G) wireless communication systems. The proposed 6G pervasive channel model (6GPCM) can characterize statistical properties of channels at all frequency"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.02442","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/2206.02442/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":"2206.02442","created_at":"2026-07-05T04:29:17.983203+00:00"},{"alias_kind":"arxiv_version","alias_value":"2206.02442v1","created_at":"2026-07-05T04:29:17.983203+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.02442","created_at":"2026-07-05T04:29:17.983203+00:00"},{"alias_kind":"pith_short_12","alias_value":"QW2WSZ5ZLDJ6","created_at":"2026-07-05T04:29:17.983203+00:00"},{"alias_kind":"pith_short_16","alias_value":"QW2WSZ5ZLDJ64BAN","created_at":"2026-07-05T04:29:17.983203+00:00"},{"alias_kind":"pith_short_8","alias_value":"QW2WSZ5Z","created_at":"2026-07-05T04:29:17.983203+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/QW2WSZ5ZLDJ64BAN2FCW7IRFWP","json":"https://pith.science/pith/QW2WSZ5ZLDJ64BAN2FCW7IRFWP.json","graph_json":"https://pith.science/api/pith-number/QW2WSZ5ZLDJ64BAN2FCW7IRFWP/graph.json","events_json":"https://pith.science/api/pith-number/QW2WSZ5ZLDJ64BAN2FCW7IRFWP/events.json","paper":"https://pith.science/paper/QW2WSZ5Z"},"agent_actions":{"view_html":"https://pith.science/pith/QW2WSZ5ZLDJ64BAN2FCW7IRFWP","download_json":"https://pith.science/pith/QW2WSZ5ZLDJ64BAN2FCW7IRFWP.json","view_paper":"https://pith.science/paper/QW2WSZ5Z","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2206.02442&json=true","fetch_graph":"https://pith.science/api/pith-number/QW2WSZ5ZLDJ64BAN2FCW7IRFWP/graph.json","fetch_events":"https://pith.science/api/pith-number/QW2WSZ5ZLDJ64BAN2FCW7IRFWP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QW2WSZ5ZLDJ64BAN2FCW7IRFWP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QW2WSZ5ZLDJ64BAN2FCW7IRFWP/action/storage_attestation","attest_author":"https://pith.science/pith/QW2WSZ5ZLDJ64BAN2FCW7IRFWP/action/author_attestation","sign_citation":"https://pith.science/pith/QW2WSZ5ZLDJ64BAN2FCW7IRFWP/action/citation_signature","submit_replication":"https://pith.science/pith/QW2WSZ5ZLDJ64BAN2FCW7IRFWP/action/replication_record"}},"created_at":"2026-07-05T04:29:17.983203+00:00","updated_at":"2026-07-05T04:29:17.983203+00:00"}