{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:6YPA63E3DHJ4FPFGJE3WTC7UDI","short_pith_number":"pith:6YPA63E3","schema_version":"1.0","canonical_sha256":"f61e0f6c9b19d3c2bca64937698bf41a318b78fc0d4c9169fd82511b14aa83f8","source":{"kind":"arxiv","id":"2504.21723","version":2},"attestation_state":"computed","paper":{"title":"Task-Agnostic Semantic Communications Relying on Information Bottleneck and Federated Meta-Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Dusit Niyato, Hao Wei, Ping Zhang, Wanli Ni, Wenjun Xu, Wen Wang, Yongming Huang","submitted_at":"2025-04-30T15:09:07Z","abstract_excerpt":"As a paradigm shift towards pervasive intelligence, semantic communication (SemCom) has shown great potentials to improve communication efficiency and provide user-centric services by delivering task-oriented semantic meanings. However, the exponential growth in connected devices, data volumes, and communication demands presents significant challenges for practical SemCom design, particularly in resource-constrained wireless networks. In this work, we first propose a task-agnostic SemCom (TASC) framework that can handle diverse tasks with multiple modalities. Aiming to explore the interplay be"},"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":"2504.21723","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-04-30T15:09:07Z","cross_cats_sorted":[],"title_canon_sha256":"43b13e45fd5640fa4973f3470b31ca4f78fc72bfdd7084ecc2ed509d166632dd","abstract_canon_sha256":"ae70447c281dc82e1e704063edff2b2410746f2981197fc91f3fa3e220c81892"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:56:40.127808Z","signature_b64":"8ZON3CvVAEVmXl0Y2ng5c3RirJfkSeeYHDLeZNSCkt9JJ6nBeWJ8eT6Arsp8jSxWKje403lRgNngkMZBG/zjDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f61e0f6c9b19d3c2bca64937698bf41a318b78fc0d4c9169fd82511b14aa83f8","last_reissued_at":"2026-07-05T10:56:40.127370Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:56:40.127370Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Task-Agnostic Semantic Communications Relying on Information Bottleneck and Federated Meta-Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Dusit Niyato, Hao Wei, Ping Zhang, Wanli Ni, Wenjun Xu, Wen Wang, Yongming Huang","submitted_at":"2025-04-30T15:09:07Z","abstract_excerpt":"As a paradigm shift towards pervasive intelligence, semantic communication (SemCom) has shown great potentials to improve communication efficiency and provide user-centric services by delivering task-oriented semantic meanings. However, the exponential growth in connected devices, data volumes, and communication demands presents significant challenges for practical SemCom design, particularly in resource-constrained wireless networks. In this work, we first propose a task-agnostic SemCom (TASC) framework that can handle diverse tasks with multiple modalities. Aiming to explore the interplay be"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.21723","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/2504.21723/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":"2504.21723","created_at":"2026-07-05T10:56:40.127425+00:00"},{"alias_kind":"arxiv_version","alias_value":"2504.21723v2","created_at":"2026-07-05T10:56:40.127425+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.21723","created_at":"2026-07-05T10:56:40.127425+00:00"},{"alias_kind":"pith_short_12","alias_value":"6YPA63E3DHJ4","created_at":"2026-07-05T10:56:40.127425+00:00"},{"alias_kind":"pith_short_16","alias_value":"6YPA63E3DHJ4FPFG","created_at":"2026-07-05T10:56:40.127425+00:00"},{"alias_kind":"pith_short_8","alias_value":"6YPA63E3","created_at":"2026-07-05T10:56:40.127425+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2504.21723","citing_title":"Task-Agnostic Semantic Communications Relying on Information Bottleneck and Federated Meta-Learning","ref_index":33,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/6YPA63E3DHJ4FPFGJE3WTC7UDI","json":"https://pith.science/pith/6YPA63E3DHJ4FPFGJE3WTC7UDI.json","graph_json":"https://pith.science/api/pith-number/6YPA63E3DHJ4FPFGJE3WTC7UDI/graph.json","events_json":"https://pith.science/api/pith-number/6YPA63E3DHJ4FPFGJE3WTC7UDI/events.json","paper":"https://pith.science/paper/6YPA63E3"},"agent_actions":{"view_html":"https://pith.science/pith/6YPA63E3DHJ4FPFGJE3WTC7UDI","download_json":"https://pith.science/pith/6YPA63E3DHJ4FPFGJE3WTC7UDI.json","view_paper":"https://pith.science/paper/6YPA63E3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2504.21723&json=true","fetch_graph":"https://pith.science/api/pith-number/6YPA63E3DHJ4FPFGJE3WTC7UDI/graph.json","fetch_events":"https://pith.science/api/pith-number/6YPA63E3DHJ4FPFGJE3WTC7UDI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6YPA63E3DHJ4FPFGJE3WTC7UDI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6YPA63E3DHJ4FPFGJE3WTC7UDI/action/storage_attestation","attest_author":"https://pith.science/pith/6YPA63E3DHJ4FPFGJE3WTC7UDI/action/author_attestation","sign_citation":"https://pith.science/pith/6YPA63E3DHJ4FPFGJE3WTC7UDI/action/citation_signature","submit_replication":"https://pith.science/pith/6YPA63E3DHJ4FPFGJE3WTC7UDI/action/replication_record"}},"created_at":"2026-07-05T10:56:40.127425+00:00","updated_at":"2026-07-05T10:56:40.127425+00:00"}