{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:JRLMNZNZSWNFVWPKKEB67XSGKP","short_pith_number":"pith:JRLMNZNZ","schema_version":"1.0","canonical_sha256":"4c56c6e5b9959a5ad9ea5103efde4653c8f5c914d47b8ff0451272aaf31f5c5e","source":{"kind":"arxiv","id":"2606.25722","version":1},"attestation_state":"computed","paper":{"title":"MAP-Based Task-Oriented Precoding for Multiuser Communication","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"H. Vincent Poor, Mohammad Javad Ahmadi, Rafael F. Schaefer","submitted_at":"2026-06-24T11:40:50Z","abstract_excerpt":"We propose a task-oriented multiuser wireless communication framework for distributed classification based on a MAP-driven system design under wireless channel impairments. By deriving a tractable class-mean separation objective, the proposed approach enables low-complexity design of both learning-based feature extraction and precoding strategies. Unlike existing covariance-based and reconstruction-oriented methods, the proposed formulation avoids repeated covariance inversions and eigen-decomposition operations while directly improving class separability after channel distortion. Simulation r"},"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":"2606.25722","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IT","submitted_at":"2026-06-24T11:40:50Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"95d9ecf4aea76b2aeafc3373226d4c62fcd5520c1e53bd6dac2e4e9c4a72263e","abstract_canon_sha256":"ad762962e19fee689edd137470ebfbf046294bb9d7c1166be50a1bd20e76fd5f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-25T01:18:13.662435Z","signature_b64":"q6tUbiNkjBRGtGld8/gv8kd1yaHWIzS/6EHK8Hl1hqnD/wcB+3Nr0GyuM68lwm4Duewbg9VRO8WascL7ok/+BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4c56c6e5b9959a5ad9ea5103efde4653c8f5c914d47b8ff0451272aaf31f5c5e","last_reissued_at":"2026-06-25T01:18:13.662017Z","signature_status":"signed_v1","first_computed_at":"2026-06-25T01:18:13.662017Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MAP-Based Task-Oriented Precoding for Multiuser Communication","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"H. Vincent Poor, Mohammad Javad Ahmadi, Rafael F. Schaefer","submitted_at":"2026-06-24T11:40:50Z","abstract_excerpt":"We propose a task-oriented multiuser wireless communication framework for distributed classification based on a MAP-driven system design under wireless channel impairments. By deriving a tractable class-mean separation objective, the proposed approach enables low-complexity design of both learning-based feature extraction and precoding strategies. Unlike existing covariance-based and reconstruction-oriented methods, the proposed formulation avoids repeated covariance inversions and eigen-decomposition operations while directly improving class separability after channel distortion. Simulation r"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.25722","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/2606.25722/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":"2606.25722","created_at":"2026-06-25T01:18:13.662083+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.25722v1","created_at":"2026-06-25T01:18:13.662083+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.25722","created_at":"2026-06-25T01:18:13.662083+00:00"},{"alias_kind":"pith_short_12","alias_value":"JRLMNZNZSWNF","created_at":"2026-06-25T01:18:13.662083+00:00"},{"alias_kind":"pith_short_16","alias_value":"JRLMNZNZSWNFVWPK","created_at":"2026-06-25T01:18:13.662083+00:00"},{"alias_kind":"pith_short_8","alias_value":"JRLMNZNZ","created_at":"2026-06-25T01:18:13.662083+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/JRLMNZNZSWNFVWPKKEB67XSGKP","json":"https://pith.science/pith/JRLMNZNZSWNFVWPKKEB67XSGKP.json","graph_json":"https://pith.science/api/pith-number/JRLMNZNZSWNFVWPKKEB67XSGKP/graph.json","events_json":"https://pith.science/api/pith-number/JRLMNZNZSWNFVWPKKEB67XSGKP/events.json","paper":"https://pith.science/paper/JRLMNZNZ"},"agent_actions":{"view_html":"https://pith.science/pith/JRLMNZNZSWNFVWPKKEB67XSGKP","download_json":"https://pith.science/pith/JRLMNZNZSWNFVWPKKEB67XSGKP.json","view_paper":"https://pith.science/paper/JRLMNZNZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.25722&json=true","fetch_graph":"https://pith.science/api/pith-number/JRLMNZNZSWNFVWPKKEB67XSGKP/graph.json","fetch_events":"https://pith.science/api/pith-number/JRLMNZNZSWNFVWPKKEB67XSGKP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JRLMNZNZSWNFVWPKKEB67XSGKP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JRLMNZNZSWNFVWPKKEB67XSGKP/action/storage_attestation","attest_author":"https://pith.science/pith/JRLMNZNZSWNFVWPKKEB67XSGKP/action/author_attestation","sign_citation":"https://pith.science/pith/JRLMNZNZSWNFVWPKKEB67XSGKP/action/citation_signature","submit_replication":"https://pith.science/pith/JRLMNZNZSWNFVWPKKEB67XSGKP/action/replication_record"}},"created_at":"2026-06-25T01:18:13.662083+00:00","updated_at":"2026-06-25T01:18:13.662083+00:00"}