{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:L3O3WZMMCTRCMXAEZXIHJOODQA","short_pith_number":"pith:L3O3WZMM","schema_version":"1.0","canonical_sha256":"5eddbb658c14e2265c04cdd074b9c38006188233223d913db70262b783042a73","source":{"kind":"arxiv","id":"2501.14588","version":2},"attestation_state":"computed","paper":{"title":"Data Assetization via Resources-decoupled Federated Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Feida Zhu, Guibing Guo, Jianzhe Zhao, Lingyan He, Mingce Gao, Shiyu Yang, Zixin Tang","submitted_at":"2025-01-24T15:49:04Z","abstract_excerpt":"With the development of the digital economy, data is increasingly recognized as an essential resource for both work and life. However, due to privacy concerns, data owners tend to maximize the value of data through the circulation of information rather than direct data transfer. Federated learning (FL) provides an effective approach to collaborative training models while preserving privacy. However, as model parameters and training data grow, there are not only real differences in data resources between different data owners, but also mismatches between data and computing resources. These chal"},"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":"2501.14588","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-24T15:49:04Z","cross_cats_sorted":[],"title_canon_sha256":"f6171086d6d9e464fb5dc31b254f54ffb7d0b6564e3b9e31eb990bf3ac1e8397","abstract_canon_sha256":"18ec93ae343fc59472b69e3bd03429656d99ac5bb139c0231b4355b437a68990"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:12:25.598885Z","signature_b64":"km3r+V/LAM4AQQHQKod0eBOQ/nKR98nWr8PO8XucFSwjatJ+rXxtlBL9EPm7fmu/oHaDrvwboKcIq/gs+cakCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5eddbb658c14e2265c04cdd074b9c38006188233223d913db70262b783042a73","last_reissued_at":"2026-07-05T10:12:25.598397Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:12:25.598397Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Data Assetization via Resources-decoupled Federated Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Feida Zhu, Guibing Guo, Jianzhe Zhao, Lingyan He, Mingce Gao, Shiyu Yang, Zixin Tang","submitted_at":"2025-01-24T15:49:04Z","abstract_excerpt":"With the development of the digital economy, data is increasingly recognized as an essential resource for both work and life. However, due to privacy concerns, data owners tend to maximize the value of data through the circulation of information rather than direct data transfer. Federated learning (FL) provides an effective approach to collaborative training models while preserving privacy. However, as model parameters and training data grow, there are not only real differences in data resources between different data owners, but also mismatches between data and computing resources. These chal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.14588","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/2501.14588/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":"2501.14588","created_at":"2026-07-05T10:12:25.598454+00:00"},{"alias_kind":"arxiv_version","alias_value":"2501.14588v2","created_at":"2026-07-05T10:12:25.598454+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.14588","created_at":"2026-07-05T10:12:25.598454+00:00"},{"alias_kind":"pith_short_12","alias_value":"L3O3WZMMCTRC","created_at":"2026-07-05T10:12:25.598454+00:00"},{"alias_kind":"pith_short_16","alias_value":"L3O3WZMMCTRCMXAE","created_at":"2026-07-05T10:12:25.598454+00:00"},{"alias_kind":"pith_short_8","alias_value":"L3O3WZMM","created_at":"2026-07-05T10:12:25.598454+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/L3O3WZMMCTRCMXAEZXIHJOODQA","json":"https://pith.science/pith/L3O3WZMMCTRCMXAEZXIHJOODQA.json","graph_json":"https://pith.science/api/pith-number/L3O3WZMMCTRCMXAEZXIHJOODQA/graph.json","events_json":"https://pith.science/api/pith-number/L3O3WZMMCTRCMXAEZXIHJOODQA/events.json","paper":"https://pith.science/paper/L3O3WZMM"},"agent_actions":{"view_html":"https://pith.science/pith/L3O3WZMMCTRCMXAEZXIHJOODQA","download_json":"https://pith.science/pith/L3O3WZMMCTRCMXAEZXIHJOODQA.json","view_paper":"https://pith.science/paper/L3O3WZMM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2501.14588&json=true","fetch_graph":"https://pith.science/api/pith-number/L3O3WZMMCTRCMXAEZXIHJOODQA/graph.json","fetch_events":"https://pith.science/api/pith-number/L3O3WZMMCTRCMXAEZXIHJOODQA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/L3O3WZMMCTRCMXAEZXIHJOODQA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/L3O3WZMMCTRCMXAEZXIHJOODQA/action/storage_attestation","attest_author":"https://pith.science/pith/L3O3WZMMCTRCMXAEZXIHJOODQA/action/author_attestation","sign_citation":"https://pith.science/pith/L3O3WZMMCTRCMXAEZXIHJOODQA/action/citation_signature","submit_replication":"https://pith.science/pith/L3O3WZMMCTRCMXAEZXIHJOODQA/action/replication_record"}},"created_at":"2026-07-05T10:12:25.598454+00:00","updated_at":"2026-07-05T10:12:25.598454+00:00"}