{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:G34LBZLMGTZAKWXE5TGHPRYJ7C","short_pith_number":"pith:G34LBZLM","schema_version":"1.0","canonical_sha256":"36f8b0e56c34f2055ae4eccc77c709f880054a7f6a0602133ea6a75789d23130","source":{"kind":"arxiv","id":"2601.04569","version":2},"attestation_state":"computed","paper":{"title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CE","authors_text":"Albert Zomaya, Daojiang Hu, Hailiang Zhao, Jiahui Zhai, Jianwei Yin, Kai Di, Mengchu Zhou, Mingyi Liu, Shuiguang Deng, Xinkui Zhao, Zhongjie Wang, Ziqi Wang","submitted_at":"2026-01-08T03:53:14Z","abstract_excerpt":"The convergence of artificial intelligence, cyber-physical systems, and distributed networking has accelerated the evolution of industrial intelligence across edge, cloud, and cross-organizational communication environments. However, existing governance mechanisms remain fragmented across data management, service orchestration, and knowledge-based decision-making, making it difficult to ensure reliability, accountability, compliance, and explainability throughout the industrial intelligence stack. To address this gap, we present TRISK (TRusted Industrial Data-Service-Knowledge governance), a c"},"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":"2601.04569","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CE","submitted_at":"2026-01-08T03:53:14Z","cross_cats_sorted":[],"title_canon_sha256":"076059c82acbe07246f95b8b477548ad8d690951fc48af32c86c1e64b26cf6ac","abstract_canon_sha256":"1362d74a8791a317c760bb99063b8daa25ad05938c146d397a638079e06587f4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-07T02:17:16.098976Z","signature_b64":"MMRso/g6OlHWlEQ9URsHqVotlMDgv2iwIkXcedMB8mKBA6a8LZMjUA2c6FlE8TNdrETFs+FONcMAtdy6M4O/Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"36f8b0e56c34f2055ae4eccc77c709f880054a7f6a0602133ea6a75789d23130","last_reissued_at":"2026-07-07T02:17:16.097298Z","signature_status":"signed_v1","first_computed_at":"2026-07-07T02:17:16.097298Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CE","authors_text":"Albert Zomaya, Daojiang Hu, Hailiang Zhao, Jiahui Zhai, Jianwei Yin, Kai Di, Mengchu Zhou, Mingyi Liu, Shuiguang Deng, Xinkui Zhao, Zhongjie Wang, Ziqi Wang","submitted_at":"2026-01-08T03:53:14Z","abstract_excerpt":"The convergence of artificial intelligence, cyber-physical systems, and distributed networking has accelerated the evolution of industrial intelligence across edge, cloud, and cross-organizational communication environments. However, existing governance mechanisms remain fragmented across data management, service orchestration, and knowledge-based decision-making, making it difficult to ensure reliability, accountability, compliance, and explainability throughout the industrial intelligence stack. To address this gap, we present TRISK (TRusted Industrial Data-Service-Knowledge governance), a c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.04569","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/2601.04569/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":"2601.04569","created_at":"2026-07-07T02:17:16.097816+00:00"},{"alias_kind":"arxiv_version","alias_value":"2601.04569v2","created_at":"2026-07-07T02:17:16.097816+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.04569","created_at":"2026-07-07T02:17:16.097816+00:00"},{"alias_kind":"pith_short_12","alias_value":"G34LBZLMGTZA","created_at":"2026-07-07T02:17:16.097816+00:00"},{"alias_kind":"pith_short_16","alias_value":"G34LBZLMGTZAKWXE","created_at":"2026-07-07T02:17:16.097816+00:00"},{"alias_kind":"pith_short_8","alias_value":"G34LBZLM","created_at":"2026-07-07T02:17:16.097816+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/G34LBZLMGTZAKWXE5TGHPRYJ7C","json":"https://pith.science/pith/G34LBZLMGTZAKWXE5TGHPRYJ7C.json","graph_json":"https://pith.science/api/pith-number/G34LBZLMGTZAKWXE5TGHPRYJ7C/graph.json","events_json":"https://pith.science/api/pith-number/G34LBZLMGTZAKWXE5TGHPRYJ7C/events.json","paper":"https://pith.science/paper/G34LBZLM"},"agent_actions":{"view_html":"https://pith.science/pith/G34LBZLMGTZAKWXE5TGHPRYJ7C","download_json":"https://pith.science/pith/G34LBZLMGTZAKWXE5TGHPRYJ7C.json","view_paper":"https://pith.science/paper/G34LBZLM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2601.04569&json=true","fetch_graph":"https://pith.science/api/pith-number/G34LBZLMGTZAKWXE5TGHPRYJ7C/graph.json","fetch_events":"https://pith.science/api/pith-number/G34LBZLMGTZAKWXE5TGHPRYJ7C/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/G34LBZLMGTZAKWXE5TGHPRYJ7C/action/timestamp_anchor","attest_storage":"https://pith.science/pith/G34LBZLMGTZAKWXE5TGHPRYJ7C/action/storage_attestation","attest_author":"https://pith.science/pith/G34LBZLMGTZAKWXE5TGHPRYJ7C/action/author_attestation","sign_citation":"https://pith.science/pith/G34LBZLMGTZAKWXE5TGHPRYJ7C/action/citation_signature","submit_replication":"https://pith.science/pith/G34LBZLMGTZAKWXE5TGHPRYJ7C/action/replication_record"}},"created_at":"2026-07-07T02:17:16.097816+00:00","updated_at":"2026-07-07T02:17:16.097816+00:00"}