{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:MDWDKVAEZKAE5R2AQ54BM6BSJ2","short_pith_number":"pith:MDWDKVAE","schema_version":"1.0","canonical_sha256":"60ec355404ca804ec74087781678324e8bdf0d396f88cab7119e9fd98e86e7a6","source":{"kind":"arxiv","id":"2605.25593","version":1},"attestation_state":"computed","paper":{"title":"Time-Varying Parametric Channel Estimation With CP Decomposition Tensor Processing","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Andr\\'e L. F. de Almeida, Enrique T. R. Pinto, Markku Juntti","submitted_at":"2026-05-25T08:44:37Z","abstract_excerpt":"Integrated sensing and communications (ISAC) is a key use case for sixth-generation (6G) wireless systems, where parametric channel estimation (PCE) plays a central role in enabling sensing, localization, and channel equalization in high-mobility scenarios. However, PCE is typically more computationally demanding than conventional channel estimation, which motivates the development of lower-complexity solutions. In this letter, we propose a fast PCE algorithm for time-varying and frequency-selective (TVFS) channels based on canonical polyadic (CP) decomposition and tensor processing, combined "},"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":"2605.25593","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2026-05-25T08:44:37Z","cross_cats_sorted":[],"title_canon_sha256":"0e528940270184d199e4445a446567ae4434e3a8c0dc6d2daf7a485a5e905cb4","abstract_canon_sha256":"499e9a25b01a8ed32476bb1af397454ae4819eeab8455bcd37a74374edd21f70"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T02:04:44.649955Z","signature_b64":"srz3zqhGqC/hNU1+8x2rZ/d5pxMNnwptAbSvF4XxYvOj/bnNtWFCmxdp//ZqaEHD8NJ3kvAghIjnLwN7LkB1Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"60ec355404ca804ec74087781678324e8bdf0d396f88cab7119e9fd98e86e7a6","last_reissued_at":"2026-05-26T02:04:44.649213Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T02:04:44.649213Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Time-Varying Parametric Channel Estimation With CP Decomposition Tensor Processing","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Andr\\'e L. F. de Almeida, Enrique T. R. Pinto, Markku Juntti","submitted_at":"2026-05-25T08:44:37Z","abstract_excerpt":"Integrated sensing and communications (ISAC) is a key use case for sixth-generation (6G) wireless systems, where parametric channel estimation (PCE) plays a central role in enabling sensing, localization, and channel equalization in high-mobility scenarios. However, PCE is typically more computationally demanding than conventional channel estimation, which motivates the development of lower-complexity solutions. In this letter, we propose a fast PCE algorithm for time-varying and frequency-selective (TVFS) channels based on canonical polyadic (CP) decomposition and tensor processing, combined "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25593","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/2605.25593/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":"2605.25593","created_at":"2026-05-26T02:04:44.649354+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.25593v1","created_at":"2026-05-26T02:04:44.649354+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25593","created_at":"2026-05-26T02:04:44.649354+00:00"},{"alias_kind":"pith_short_12","alias_value":"MDWDKVAEZKAE","created_at":"2026-05-26T02:04:44.649354+00:00"},{"alias_kind":"pith_short_16","alias_value":"MDWDKVAEZKAE5R2A","created_at":"2026-05-26T02:04:44.649354+00:00"},{"alias_kind":"pith_short_8","alias_value":"MDWDKVAE","created_at":"2026-05-26T02:04:44.649354+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/MDWDKVAEZKAE5R2AQ54BM6BSJ2","json":"https://pith.science/pith/MDWDKVAEZKAE5R2AQ54BM6BSJ2.json","graph_json":"https://pith.science/api/pith-number/MDWDKVAEZKAE5R2AQ54BM6BSJ2/graph.json","events_json":"https://pith.science/api/pith-number/MDWDKVAEZKAE5R2AQ54BM6BSJ2/events.json","paper":"https://pith.science/paper/MDWDKVAE"},"agent_actions":{"view_html":"https://pith.science/pith/MDWDKVAEZKAE5R2AQ54BM6BSJ2","download_json":"https://pith.science/pith/MDWDKVAEZKAE5R2AQ54BM6BSJ2.json","view_paper":"https://pith.science/paper/MDWDKVAE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.25593&json=true","fetch_graph":"https://pith.science/api/pith-number/MDWDKVAEZKAE5R2AQ54BM6BSJ2/graph.json","fetch_events":"https://pith.science/api/pith-number/MDWDKVAEZKAE5R2AQ54BM6BSJ2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MDWDKVAEZKAE5R2AQ54BM6BSJ2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MDWDKVAEZKAE5R2AQ54BM6BSJ2/action/storage_attestation","attest_author":"https://pith.science/pith/MDWDKVAEZKAE5R2AQ54BM6BSJ2/action/author_attestation","sign_citation":"https://pith.science/pith/MDWDKVAEZKAE5R2AQ54BM6BSJ2/action/citation_signature","submit_replication":"https://pith.science/pith/MDWDKVAEZKAE5R2AQ54BM6BSJ2/action/replication_record"}},"created_at":"2026-05-26T02:04:44.649354+00:00","updated_at":"2026-05-26T02:04:44.649354+00:00"}