{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:24TJ37G6E57ACYYDHGUIPCMYJQ","short_pith_number":"pith:24TJ37G6","schema_version":"1.0","canonical_sha256":"d7269dfcde277e01630339a88789984c031b3ce113eaeb336781a2775ea0c1ae","source":{"kind":"arxiv","id":"2508.01689","version":1},"attestation_state":"computed","paper":{"title":"Balancing Latency and Model Accuracy for Fluid Antenna-Assisted LM-Embedded MIMO Network","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Qingfeng Lin, Yichen Jin, Yik-Chung Wu, Zeyi Ren, Zongze Li","submitted_at":"2025-08-03T09:49:08Z","abstract_excerpt":"This paper addresses the challenge of large model (LM)-embedded wireless network for handling the trade-off problem of model accuracy and network latency. To guarantee a high-quality of users' service, the network latency should be minimized while maintaining an acceptable inference accuracy. To meet this requirement, LM quantization is proposed to reduce the latency. However, the excessive quantization may destroy the accuracy of LM inference. To this end, a promising fluid antenna (FA) technology is investigated for enhancing the transmission capacity, leading to a lower network latency in t"},"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":"2508.01689","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-08-03T09:49:08Z","cross_cats_sorted":[],"title_canon_sha256":"fdf2d9d547a1d0a0b28bebe6a2a1937b84388565a037678abd267194e6566dba","abstract_canon_sha256":"2d386e27a93b2735dfda74c1e12fde72dcbf66bd3e62c1359a87d1ceb884e843"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:47:43.898036Z","signature_b64":"3ASVzEaB/QjqWNH/rF6Kj2Fxx7kuq0Y3a+0dP0EFZjXF3FMt9pe08gsPTvyhk0xqLhnQzOBr10dCl81Ux7o0DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d7269dfcde277e01630339a88789984c031b3ce113eaeb336781a2775ea0c1ae","last_reissued_at":"2026-07-05T11:47:43.897533Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:47:43.897533Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Balancing Latency and Model Accuracy for Fluid Antenna-Assisted LM-Embedded MIMO Network","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Qingfeng Lin, Yichen Jin, Yik-Chung Wu, Zeyi Ren, Zongze Li","submitted_at":"2025-08-03T09:49:08Z","abstract_excerpt":"This paper addresses the challenge of large model (LM)-embedded wireless network for handling the trade-off problem of model accuracy and network latency. To guarantee a high-quality of users' service, the network latency should be minimized while maintaining an acceptable inference accuracy. To meet this requirement, LM quantization is proposed to reduce the latency. However, the excessive quantization may destroy the accuracy of LM inference. To this end, a promising fluid antenna (FA) technology is investigated for enhancing the transmission capacity, leading to a lower network latency in t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.01689","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/2508.01689/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":"2508.01689","created_at":"2026-07-05T11:47:43.897592+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.01689v1","created_at":"2026-07-05T11:47:43.897592+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.01689","created_at":"2026-07-05T11:47:43.897592+00:00"},{"alias_kind":"pith_short_12","alias_value":"24TJ37G6E57A","created_at":"2026-07-05T11:47:43.897592+00:00"},{"alias_kind":"pith_short_16","alias_value":"24TJ37G6E57ACYYD","created_at":"2026-07-05T11:47:43.897592+00:00"},{"alias_kind":"pith_short_8","alias_value":"24TJ37G6","created_at":"2026-07-05T11:47:43.897592+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/24TJ37G6E57ACYYDHGUIPCMYJQ","json":"https://pith.science/pith/24TJ37G6E57ACYYDHGUIPCMYJQ.json","graph_json":"https://pith.science/api/pith-number/24TJ37G6E57ACYYDHGUIPCMYJQ/graph.json","events_json":"https://pith.science/api/pith-number/24TJ37G6E57ACYYDHGUIPCMYJQ/events.json","paper":"https://pith.science/paper/24TJ37G6"},"agent_actions":{"view_html":"https://pith.science/pith/24TJ37G6E57ACYYDHGUIPCMYJQ","download_json":"https://pith.science/pith/24TJ37G6E57ACYYDHGUIPCMYJQ.json","view_paper":"https://pith.science/paper/24TJ37G6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.01689&json=true","fetch_graph":"https://pith.science/api/pith-number/24TJ37G6E57ACYYDHGUIPCMYJQ/graph.json","fetch_events":"https://pith.science/api/pith-number/24TJ37G6E57ACYYDHGUIPCMYJQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/24TJ37G6E57ACYYDHGUIPCMYJQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/24TJ37G6E57ACYYDHGUIPCMYJQ/action/storage_attestation","attest_author":"https://pith.science/pith/24TJ37G6E57ACYYDHGUIPCMYJQ/action/author_attestation","sign_citation":"https://pith.science/pith/24TJ37G6E57ACYYDHGUIPCMYJQ/action/citation_signature","submit_replication":"https://pith.science/pith/24TJ37G6E57ACYYDHGUIPCMYJQ/action/replication_record"}},"created_at":"2026-07-05T11:47:43.897592+00:00","updated_at":"2026-07-05T11:47:43.897592+00:00"}