{"as_of":"2026-08-23T07:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1425abdaef6435c533d203c106ed52e2c3880a35980a832fbb5229fcb82a2780","coverage":[{"denominator":124,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T12:02:16.557691Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2601.04569/citation-record","integrity":"/paper/2601.04569/integrity","json":"/paper/2601.04569/citation-record.json","paper":"/paper/2601.04569"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:05.144762Z","title":"Digital twin-driven smart manufacturing: Connotation, reference model, applications and research issues,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:05.144762Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:8ad11b04fd73196238bd2ab3404811b34a308392e654f05638b0ef3725e945af","observation_id":"178496ce-5fc2-41c3-9920-f17e2f6a908e","resolution":{"observed_at":"2026-08-03T12:02:05.144762Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:05.191422Z","title":"Cost-minimized partial computation offloading in cloud- assisted mobile edge computing systems,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:05.191422Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:7bde21662140250bfb215d09ce07ea8905c914a28adc355fcf4f94063ca330e1","observation_id":"14d4d6b2-9fff-4cb8-835b-3ebb8ef7cfce","resolution":{"observed_at":"2026-08-03T12:02:05.191422Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:05.313222Z","title":"Online workload scheduling for social welfare maximization in the computing continuum,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:05.313222Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:55f9596437b168de3eb93c0bf70d43b288464a9dc739ecfdd576a2612f46834a","observation_id":"8589dcd5-15e4-4c3e-8ffb-dd52045629f9","resolution":{"observed_at":"2026-08-03T12:02:05.313222Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:05.517907Z","title":"A real-time big data gathering algorithm based on indoor wireless sensor networks for risk analysis of industrial operations,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:05.517907Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:392b65339d313af11b6bc4e5be8cebfdb50643103464eda6e073f48a797910b6","observation_id":"d3c784f7-fcd3-43ef-8bd5-777bb8a49cbf","resolution":{"observed_at":"2026-08-03T12:02:05.517907Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:05.697174Z","title":"Smart manufacturing systems: state of the art and future trends,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:05.697174Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:b5b6b10fa9328365c0edf108acea7d3419fadff193700c0039af59da92216d4b","observation_id":"d2b2429c-e90c-4735-a4e2-a552f78ea75e","resolution":{"observed_at":"2026-08-03T12:02:05.697174Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:05.883616Z","title":"A survey of data-driven and knowledge-aware explainable ai,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:05.883616Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:781de0b0a840e541590f55561cffa074360ccd3e5d4ffb3d9ae79ac3f484cf53","observation_id":"34394125-6d36-43e5-a7fb-2ac449b9d3c2","resolution":{"observed_at":"2026-08-03T12:02:05.883616Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:06.019946Z","title":"A survey on blockchain-based trust management for internet of things,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:06.019946Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:e119b5a0afefc77b845edbc07808fbf3d576377dfad136c1cd358064884abe35","observation_id":"6091b0e0-39e1-4490-9689-4332c39cb04f","resolution":{"observed_at":"2026-08-03T12:02:06.019946Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:06.179881Z","title":"Exploiting blockchain to make ai trustworthy: A software development lifecycle view,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:06.179881Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:04bdfccfcb0cf64383fc47b5c5354ea164e216363aef2602f469ecf4a6ea4e92","observation_id":"cc3f8759-8e47-424e-9921-1a546babc479","resolution":{"observed_at":"2026-08-03T12:02:06.179881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:06.294512Z","title":"A reference framework for the implementation of data governance systems for industry 4.0,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:06.294512Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:49c561f133d3a7df30da1320ae84d8e8055801347f8fb639208bbadc35d0886c","observation_id":"330b810f-6dd1-491b-b604-0e47f2e1732e","resolution":{"observed_at":"2026-08-03T12:02:06.294512Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:06.418834Z","title":"Ontology-based semantic reasoning for multi-source heterogeneous industrial devices using opc ua,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:06.418834Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:b9675f64efe38f9382dab9ff5b4347878eafcfa0b8fcfb587d8671617af1fba0","observation_id":"dc183bbf-2eb3-4765-872f-e8c18d409d6a","resolution":{"observed_at":"2026-08-03T12:02:06.418834Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:06.546890Z","title":"Ontology-driven knowledge graph for decision-making in resilience enhancement of underground structures: Framework and application,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:06.546890Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:e77206bde853ac0df1c367d8a93a77f19c98084efe5e70a8993c056d93df4f5a","observation_id":"fb7007d1-ff0f-45f4-943e-9a1e09c4a17c","resolution":{"observed_at":"2026-08-03T12:02:06.546890Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:06.736284Z","title":"An enhanced hybrid deep neural network method for adjusted industrial time series prediction with variable operating states,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:06.736284Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:a70bd49fc8e0447e9ec140e52a11c9c8f27b1968fc225dd142f6ec75fe8928cb","observation_id":"7e0bd7df-a9fd-4287-8fc0-dcd51c3a4400","resolution":{"observed_at":"2026-08-03T12:02:06.736284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:06.889390Z","title":"Omnifuser: Adaptive multimodal fusion for service- oriented predictive maintenance,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:06.889390Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:1dd59064013b9342b67ee89cb5cbd573d04ebfca0abd549d1af92b5dca31a481","observation_id":"f87b80cf-ef45-4ee2-a560-5e6158f5f632","resolution":{"observed_at":"2026-08-03T12:02:06.889390Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:07.015224Z","title":"A data governance framework for industry 4.0,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:07.015224Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:f48ddffa9cce093ba66257e45411bc760bd765e42fa83b328be29561493c937d","observation_id":"1b4f5590-3812-4a98-aa39-a75a5ee68fb5","resolution":{"observed_at":"2026-08-03T12:02:07.015224Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:07.146006Z","title":"Governance of smart service social responsibility: A systematic literature review,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:07.146006Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:12704e37d0c01bcfde37a07183541cc227da755c56fa840ae8f184fa5bc7a555","observation_id":"dffefab4-b108-44d5-b1f5-f82cacef5892","resolution":{"observed_at":"2026-08-03T12:02:07.146006Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:07.225864Z","title":"Knowledge graph quality management: A comprehensive survey,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:07.225864Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:9812a1e031883ad94708f63bb0e5bd153819f3289cd535f4d289fc526388d1a3","observation_id":"317ce1c0-895d-4399-b3a7-ea0e7cc25cc8","resolution":{"observed_at":"2026-08-03T12:02:07.225864Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:07.345487Z","title":"Xai for industry 5.0-concepts, opportunities, challenges, and future directions,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:07.345487Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:9a3ebbc768160715302b227fdd6e39f5cd5468d5e1b1090b05e202e50295ad2d","observation_id":"76b77e31-3ff2-4c41-ba82-d9f7ca8600aa","resolution":{"observed_at":"2026-08-03T12:02:07.345487Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:07.502261Z","title":"Deep generative models in the industrial internet of things: A survey,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:07.502261Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:4f539bb7da9b9cd2eb1c4cc2a67664d7f753522d080498d3f0a214e3e146dc81","observation_id":"a637eaa1-33a2-46de-ae51-f394633f1aa3","resolution":{"observed_at":"2026-08-03T12:02:07.502261Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:07.539781Z","title":"Alignment of the ieee industrial agents recommended practice standard with the reference architectures rami4.0, iira, and sgam,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:07.539781Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:d9388acadd98d0bfe79affac72cc61df92b992ac9350a36ca8b3009f120722bb","observation_id":"8d9fc849-9097-4c3c-9171-83a49c0edf43","resolution":{"observed_at":"2026-08-03T12:02:07.539781Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:07.594546Z","title":"Rami 4.0 framework applied to industry 4.0 technologies deployment: Moroccan chemical industry use case,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:07.594546Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:c312fe9bf16f40fce958b6ac77f3cac095f61b467fcf2c9960d89185ca270f5c","observation_id":"76981bce-e86a-4f95-bbc8-3630681f70aa","resolution":{"observed_at":"2026-08-03T12:02:07.594546Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:07.723254Z","title":"Gaia-x based data ecosystem offerings in the context of data management systems,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:07.723254Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:00df8c55da6e078b27f64b0e5ea4fc958528ecacd9f3cd9e43c76f0af2ba482c","observation_id":"991e2ba7-b141-4e72-9c6f-78a2a4f54e80","resolution":{"observed_at":"2026-08-03T12:02:07.723254Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:07.812604Z","title":"Mbd-enhanced asset administration shell for generic production line design,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:07.812604Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:171ed75fde0b23e7f81b430dc5fb11ac57cd7d5e622b4eeda5047d4102aa40b2","observation_id":"1e3863b6-0285-4641-acad-247ca9184474","resolution":{"observed_at":"2026-08-03T12:02:07.812604Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:07.815617Z","title":"Towards a reference enterprise architecture to enforce digital sovereignty in international data spaces,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:07.815617Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:b80f97e54e3a4ae51ce6e5c2aab0712730481b5ea39fe6b54e5c2699fa498a17","observation_id":"8a1fa339-ae46-4b24-abc9-f4faa27e8fb1","resolution":{"observed_at":"2026-08-03T12:02:07.815617Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:07.895868Z","title":"A cybersecurity risk assessment methodology for industrial automation control systems,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:07.895868Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:609c161b51db5fc81c3e0d6e5cb0a75d486e886349f167cd2f164b6a12baf27c","observation_id":"83c92b33-3151-4c4d-af1c-3a15237cb0fd","resolution":{"observed_at":"2026-08-03T12:02:07.895868Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:07.998234Z","title":"Privacy in crises: The nist privacy framework,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:07.998234Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:475e3b8cc401d2a20a2dee04f50577e86b6038816e99958cb277f1c80f15528a","observation_id":"8c453f14-29b9-4d8f-a714-4d88b86f4561","resolution":{"observed_at":"2026-08-03T12:02:07.998234Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:08.111479Z","title":"Opportunities of gen ai in the banking industry with regards to the ai act, gdpr, data act and dora,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:08.111479Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:062828bcecccae30ac90e690169dc012004a2ff8c7356232fa02d7b4aa1e80ab","observation_id":"4e6e87bb-a20f-46d0-b886-de8bfa169ff1","resolution":{"observed_at":"2026-08-03T12:02:08.111479Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:08.293824Z","title":"Themes from an ai and ml roundtable discussion,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:08.293824Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:9e2d6d5e01692ecc02d8153c938984fdf06e3dfb92d94188478b0ab0f10c397e","observation_id":"aeea5620-b569-48e0-8cfe-046ee96b61e3","resolution":{"observed_at":"2026-08-03T12:02:08.293824Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:08.458201Z","title":"Trust in a decentralized world: Data governance from faithful, private, verifiable, and traceable data feeds,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:08.458201Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:5875b632083eccbfd7dcfb230f6b37b7bff00a20349c3beb230fc2e4bddbaef3","observation_id":"0453264c-2fca-4d60-addb-96e212bb8cb7","resolution":{"observed_at":"2026-08-03T12:02:08.458201Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:08.561826Z","title":"An explainable and resilient intrusion detection system for industry 5.0,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:08.561826Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:a40e0a443e2da2cfe7f8aa3dbb9b9cf43a3f84182ab6895a32ce58bd0d34c047","observation_id":"cd62ea8d-5153-4f7e-9d24-0b22d075631a","resolution":{"observed_at":"2026-08-03T12:02:08.561826Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:08.624551Z","title":"Data-based techniques focused on modern industry: An overview,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:08.624551Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:2dee2d2fca28aded2a4cbdb336d6b43447c94e3aca2a73c4be5345339fe042de","observation_id":"cf563c8e-c1f2-41ac-9bf3-fab951e8afff","resolution":{"observed_at":"2026-08-03T12:02:08.624551Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:08.727477Z","title":"Digital twin data management: A compre- hensive review,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:08.727477Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:60a035587f128135cd2556d808b3f7020ad1e4496744771ff1c971f48005509b","observation_id":"d7403422-8103-43b6-95cd-c28255f95ea3","resolution":{"observed_at":"2026-08-03T12:02:08.727477Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:08.843025Z","title":"Blockchain intelligence: Intelligent blockchains for web 3.0 and beyond,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:08.843025Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:a763fedd6b484309568452c1690cb973225b25f2c5bd07d9d3192b0c40749996","observation_id":"7c517379-a837-48ab-a942-dacf946a06e3","resolution":{"observed_at":"2026-08-03T12:02:08.843025Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:08.918292Z","title":"Optimized federated learning for trustworthy edge decision-making in iot consumer electronics,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:08.918292Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:ef95f69ba6243820816dc86d10aee08d56e36f87003b580f9da093b1406f8995","observation_id":"377ba568-3f86-4a44-823e-e579fc823983","resolution":{"observed_at":"2026-08-03T12:02:08.918292Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:09.035296Z","title":"Fed-rdp: A robust federated learning framework for multi- party decision-making,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:09.035296Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:81f78f52963c6fc78abbf770faa3ad62e21d9636ef54d6ef7a9fd1384dfa7abf","observation_id":"a7a97a2d-6c6f-4aa4-83d0-20904d13236d","resolution":{"observed_at":"2026-08-03T12:02:09.035296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:09.166145Z","title":"Toward zero touch networks: Cross-layer automated security solutions for 6g wireless networks,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:09.166145Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:2640185ee7ebb1e471deaa3b5c5ef30a454f201a96d8965f184cb78cbcb280aa","observation_id":"13f0e38d-7548-452c-9394-b6c7532397a5","resolution":{"observed_at":"2026-08-03T12:02:09.166145Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:09.283817Z","title":"Realizing supply chain benefits through technological- development-oriented supply chain innovation: The mediating role of supply chain transparency and supply chain embeddedness,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:09.283817Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:508c7bda3f3285915f46bc58603b1f743c4e762add66bc5d3eaccf3ca15b72f0","observation_id":"6df302d6-9490-4db1-94cc-4833b40c431a","resolution":{"observed_at":"2026-08-03T12:02:09.283817Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:09.391613Z","title":"Towards scalable, secure, and smart mission-critical iot systems: review and vision,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:09.391613Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:d5ae4f39ad5f7ffeebb56b90f3961e2657fe79feb86b53053526a52f2d9f44aa","observation_id":"78cdce6d-96c2-4897-b4ef-c2780afdd423","resolution":{"observed_at":"2026-08-03T12:02:09.391613Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:09.479130Z","title":"Control flow versus data flow in distributed systems integration: Revival of flow-based programming for the industrial internet of things,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:09.479130Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:a5bfb8b41b565d5b5a9c25589aee6ee8ad4d9eb06cf30632fc8c638499bad4eb","observation_id":"15a2d646-b9e5-4142-a693-be672e060075","resolution":{"observed_at":"2026-08-03T12:02:09.479130Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:09.595197Z","title":"Cost-minimized computation offloading and user association in hybrid cloud and edge computing,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:09.595197Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:0a9d7ae5ea2cb7bfc477586a8183564c118c0a389a3cb604c89d65abe1a10b54","observation_id":"157571f4-8aea-4e56-93a5-305013e8b15a","resolution":{"observed_at":"2026-08-03T12:02:09.595197Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:09.765762Z","title":"Electronic regulation of data sharing and processing using smart ledger technologies for supply-chain security,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:09.765762Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:f7b10a1c2cfb57edcea9ed7b362331a392dfa47b2a0a97d2645f3901339bbcaf","observation_id":"4d924cf9-ec0d-483c-bfaa-b55d7f8a1af6","resolution":{"observed_at":"2026-08-03T12:02:09.765762Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:09.911783Z","title":"An integrated healthcare service system based on blockchain technologies,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:09.911783Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:3a3b01f6dfe15c23078222fcb931ac01253886842e86d930eda084a365f51992","observation_id":"3ba62167-ccca-4fba-9f81-d6cbad10ff6c","resolution":{"observed_at":"2026-08-03T12:02:09.911783Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:10.056019Z","title":"Defending against poisoning attacks in federated learning with blockchain,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:10.056019Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:051e192aea8414a148df9167cdf49c8886b732ba1e319807cf050efd9b671eea","observation_id":"1c58175b-a0f9-448d-bcf5-9b2d7e3cb6d7","resolution":{"observed_at":"2026-08-03T12:02:10.056019Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:10.211899Z","title":"Data privacy threat modelling for autonomous systems: A survey from the gdpr’s perspective,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:10.211899Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:4ec6b51fac71ceb8485c32e444d602b981167426faf185faffe5a80a6728dc3a","observation_id":"665b67ed-e31d-4073-909d-b47b5d7c2589","resolution":{"observed_at":"2026-08-03T12:02:10.211899Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:10.339205Z","title":"Toward web3 applications: Easing the access and transition,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:10.339205Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:40c2c76e0d56c3ac2af970b4001d5903ce226e00ab601c7d802dbdad1aace9e0","observation_id":"f70a7bc6-bbdb-4066-b5d8-823032d2e28d","resolution":{"observed_at":"2026-08-03T12:02:10.339205Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:10.444474Z","title":"Blockchain-cloud transparent data marketing: Consortium management and fairness,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:10.444474Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:a1cef126cab5d63aa29a967ab23a86d5da270aaa60447e08edc3f5d32be9cf85","observation_id":"e200d2d4-dc69-409d-a189-848c257a3b1e","resolution":{"observed_at":"2026-08-03T12:02:10.444474Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:10.530529Z","title":"Facos: Enabling privacy protection through fine-grained access control with on-chain and off-chain system,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:10.530529Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:5cd4f40f2c77a2078c84b60f33d9b4608b34cc14f763e9510cc959ceb800529c","observation_id":"f808d29f-e152-47e4-a5a2-90ea900a1081","resolution":{"observed_at":"2026-08-03T12:02:10.530529Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:10.630065Z","title":"Trust in a decentralized world: Data governance from faithful, private, verifiable, and traceable data feeds,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:10.630065Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:e7dbfa996888a27579532d8c96db66a364d27abf164d8d37662c0b1484cd0d6e","observation_id":"0eb2404a-4a60-422d-b8e6-585603595228","resolution":{"observed_at":"2026-08-03T12:02:10.630065Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:10.816309Z","title":"Using internet of things (iot) in agri-food supply chains: A research framework for social good with network clustering analysis,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:10.816309Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:483a937464e3a6baae0ad293ee83777b964177e3bee0d7878c2a57bd01be859f","observation_id":"dffb31ab-7eee-492b-90ff-0e95f253b4fd","resolution":{"observed_at":"2026-08-03T12:02:10.816309Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:10.896636Z","title":"Trustworthy intelligent vehicle systems based on true autonomous organizations and operations: A new perspective,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:10.896636Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:2f0a1dceef761cd049868a2edd012b1a36b37db9e418028f272a1a1f53645971","observation_id":"526c5fc8-ff84-4036-a7e4-8ceec025a8eb","resolution":{"observed_at":"2026-08-03T12:02:10.896636Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:11.023133Z","title":"Safe-serv: Energy-efficient decision delivery for provisioning safety-as-a-service,","venue":null,"work_id":null,"year":1954},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:11.023133Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:7bee08abe7ff8cfc419b903ad13918901769ac6b01260472af4822e184077365","observation_id":"2ff1ea41-dd96-4b4a-84ac-b4e359dbc0c4","resolution":{"observed_at":"2026-08-03T12:02:11.023133Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:11.139863Z","title":"Development of a cloud service for forecasting power outages of consumers with damage assessment based on thunderstorms data,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:11.139863Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:3c79a38b9c9a77376cc2485de29a436244500963b95fe3863f574947a1edbc26","observation_id":"249040c8-af2a-486a-951b-8d50c9d3677f","resolution":{"observed_at":"2026-08-03T12:02:11.139863Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:11.292680Z","title":"Hierarchical intelligent radio access network slicing for differential service level agreement guaranteeing,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:11.292680Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:0a033d4d99ba15872db6db67ecb146735e1be3553434797ac203e50a7b15e9ab","observation_id":"0e967335-9338-4a3b-9725-09151f5b9f3e","resolution":{"observed_at":"2026-08-03T12:02:11.292680Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:11.382688Z","title":"Design of industrial edge applications based on iec 61499 microservices and containers,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:11.382688Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:838be11fe188e910f60f35aa7b883c5528750686d7841d278f0c3780386346ee","observation_id":"858bb731-be5e-465d-b3a9-01b0637b0693","resolution":{"observed_at":"2026-08-03T12:02:11.382688Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:11.466913Z","title":"Collaborative deployment and routing of industrial microservices in smart factories,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:11.466913Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:8f2eaca8d08a2a5936040abaebdfee109d27f33d37d2991f88fcecf4236dcd3a","observation_id":"34146035-d689-46cf-a33d-754a50717f42","resolution":{"observed_at":"2026-08-03T12:02:11.466913Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:11.565717Z","title":"Multi-perspective and energy-efficient deep learning in edge computing,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:11.565717Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:606a0847d442bc16547ffe14e921052a3930ee07ed774cc6153bd809511f9cc2","observation_id":"85d49df0-c20d-427f-a2fd-6791a537cd5f","resolution":{"observed_at":"2026-08-03T12:02:11.565717Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:11.687516Z","title":"Energy-delay-aware joint microservice deployment and request routing with dvfs in edge: A reinforcement learning approach,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:11.687516Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:518aec1608111190347fecf1794bd9127e8b7b6a6666203dca40fc820ce576d3","observation_id":"1ea41a21-f8d6-448a-b210-546b5e773e22","resolution":{"observed_at":"2026-08-03T12:02:11.687516Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:11.868444Z","title":"Autonomous lifecycle management for resource-efficient workload orchestration for green edge computing,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:11.868444Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:24a66b009a69ca56a0ae297f10d10f6fc155a849a35ffd86dd3cc6282c8406d1","observation_id":"df0f3e82-c9e4-4567-baa5-6afebf966952","resolution":{"observed_at":"2026-08-03T12:02:11.868444Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:12.031206Z","title":"Intent-based service provisioning and closed- loop automation for cobot service migration in a multi-stakeholder environment,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:12.031206Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:2479b0c6a12dded0850bd9c56fc9472ae63cb19adb8c6fde8948e732585a1b52","observation_id":"df52d9bc-d580-4a97-b95c-af813a86066b","resolution":{"observed_at":"2026-08-03T12:02:12.031206Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:12.122347Z","title":"Knowledge-driven intent life-cycle management for cellular networks,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:12.122347Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:89f3405469961d672a3c8f65b791fc66693cfca46a1861329ae7706470174014","observation_id":"48b87045-d441-4968-86c5-e3091a75088a","resolution":{"observed_at":"2026-08-03T12:02:12.122347Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:12.207028Z","title":"Intrinsic security and self-adaptive cooperative protection enabling cloud native network slicing,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:12.207028Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:f3c5efe397bb43471c11329c001e7d25b4d664ef5c40cfa36defb6d2813e477f","observation_id":"6c0b7e3c-fbfb-4882-86af-948770bdac1d","resolution":{"observed_at":"2026-08-03T12:02:12.207028Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:12.284070Z","title":"Service function chaining and embedding with heterogeneous faults tolerance in edge networks,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:12.284070Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:8cd775c40dbc5e3973718af231740a0b2fc3c4b703e78c90c81dd3c40ae1f671","observation_id":"3237b779-c43a-4c44-b04a-03d7125c42d8","resolution":{"observed_at":"2026-08-03T12:02:12.284070Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:12.369978Z","title":"Explainable gnn-based approach to fault forecasting in cloud service debugging,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:12.369978Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:c87af4dd854ddc5845bf7d8c701e756a0d6c7e58f939a2811e3898556c3eb288","observation_id":"1306e03e-5caf-4b0c-86f0-66ebfe12a95f","resolution":{"observed_at":"2026-08-03T12:02:12.369978Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:12.444236Z","title":"Model-driven availability assessment of the nfv-mano with software rejuvenation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:12.444236Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:4edc93865aecb3b0a4b971a4f7a0889265c8d93ee429fac3b8f610611f1f2316","observation_id":"ebbb9fbb-0dbc-41f2-9b82-679b4b5b03ad","resolution":{"observed_at":"2026-08-03T12:02:12.444236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:12.546665Z","title":"Automated service provisioning and hierarchical sla management in 5g systems,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:12.546665Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:5043bc6cd6b0d64c5536826c51e096e7e13a147058cbbf06c3e131a7b3b19b0a","observation_id":"d85f7c83-a706-4194-ae5e-9dcb1121abd9","resolution":{"observed_at":"2026-08-03T12:02:12.546665Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:12.742982Z","title":"Saasc: Toward pay-as-you-go mode for software service transactions based on blockchain’s smart legal contracts,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:12.742982Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:937048dc795cdbdca10050aa1254c03513680c33f053010ab8b497249e414516","observation_id":"b08785bd-0625-43a0-882f-26faca06858c","resolution":{"observed_at":"2026-08-03T12:02:12.742982Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:12.906529Z","title":"Blockchain-based service orchestration for 5g vertical industries in multicloud environment,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:12.906529Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:a71a932ee10f55eae546891582b20cd28b3797549cc600a0a1584201d8411f79","observation_id":"1d141268-b70d-49a5-8139-6db7ee9bce01","resolution":{"observed_at":"2026-08-03T12:02:12.906529Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:13.014699Z","title":"Dynamic microservice allocation for virtual reality distribution with qoe support,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:13.014699Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:008e63a92a1611e7daab99baeba8c7941f0dc143694e5092ceac922929541141","observation_id":"56620506-40de-4691-a1cf-b0397891cc93","resolution":{"observed_at":"2026-08-03T12:02:13.014699Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:13.110937Z","title":"A blockchain-based cross-domain and autonomous access control scheme for internet of things,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:13.110937Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:c311c9aec61a7e88bed4b25dd0dd708c4f657ca7aa12417645dafea1ce6ef116","observation_id":"2bdce6dd-9bdd-44d3-9606-b54abee9c0f1","resolution":{"observed_at":"2026-08-03T12:02:13.110937Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:13.178054Z","title":"Correct-by-design interacting smart contracts and a systematic approach for verifying erc20 and erc721 contracts with verisolid,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:13.178054Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:caf2c2f7beab4cdeae5be6f130892325e7b3d3e1cd4254969b89e8da31b059c8","observation_id":"c2446444-3bf1-4fca-8c49-be00ac296278","resolution":{"observed_at":"2026-08-03T12:02:13.178054Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:13.247296Z","title":"Service regulation analysis framework for service design time: A case study of internet healthcare service,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:13.247296Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:8db635b36021fd74fe6ab03031e18ae0ef143b849c740a902b33854ece704dfe","observation_id":"c80d523e-4ffb-48c7-901a-7d0ed7127efb","resolution":{"observed_at":"2026-08-03T12:02:13.247296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:13.311769Z","title":"Edge-based runtime verification for the internet of things,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:13.311769Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:e1e848684dc8039a48babaeeb527ea1dc10473d917bbe023aff146473a18ab26","observation_id":"f01a59c4-ac1b-4864-9bc9-ddd90d437419","resolution":{"observed_at":"2026-08-03T12:02:13.311769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:13.405853Z","title":"A study in specification and hardware runtime verification of critical embedded software,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:13.405853Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:cc584dd1d8944b0eba61b2750af77dc5fa949cd62ab4fe2b942c70ade6009fa9","observation_id":"9d0ba570-c836-414f-b507-75852f176391","resolution":{"observed_at":"2026-08-03T12:02:13.405853Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:13.466280Z","title":"Smarla: A safety monitoring approach for deep reinforcement learning agents,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:13.466280Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:ff3f47aaf74c8396493757f42df663707042b2e51914dd289cd880281a2188d2","observation_id":"21936a0f-c362-4a69-a9bf-152ad3874b3e","resolution":{"observed_at":"2026-08-03T12:02:13.466280Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:13.560212Z","title":"A trustworthy framework for multi-cloud service management: Self-sovereign identity integration,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:13.560212Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:e16e150b5fcd02015a5bd699d8f61091c84b487f3d399eae4723df2a7a2287c9","observation_id":"6d916716-c38b-49bd-908c-e68b8b2e1713","resolution":{"observed_at":"2026-08-03T12:02:13.560212Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:13.675974Z","title":"Jrs: A joint regulating scheme for secretly shared content based on blockchain,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:13.675974Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:69ed0a06f34a7d4582f3497f5849a9853e68d7bf991ca710c9f9da6f66b1597e","observation_id":"9f0f5eab-0289-41f1-9f60-d594092debc3","resolution":{"observed_at":"2026-08-03T12:02:13.675974Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:13.786043Z","title":"Programmable logic controllers past linear temporal logic for monitoring applications in industrial control systems,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:13.786043Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:90ffee5737f0552d796969eab05898ce4f8842473043d89e91a40c1d84f4ae34","observation_id":"46ccf74f-f29f-400e-918b-5af9bd080261","resolution":{"observed_at":"2026-08-03T12:02:13.786043Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:13.897102Z","title":"Knowledge-enhanced distributed graph autoencoder for multiunit industrial plant-wide process monitoring,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:13.897102Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:39a910f06a5d37a5f577d1a6c904d319732701ecb961fe6825cf4118362a9630","observation_id":"9bdd9efc-cacf-4645-b648-ce63a88c253a","resolution":{"observed_at":"2026-08-03T12:02:13.897102Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:14.009194Z","title":"Superheat degree recognition of aluminum electrolysis cell using unbalance double hierarchy hesitant linguistic petri nets,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:14.009194Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:7351696fd6bbc1586be3d0cda6081006b63fdedb7d46e6b534beada3d5bdb7da","observation_id":"7b7c9a09-3e30-4ab2-b162-7d2b35c42eef","resolution":{"observed_at":"2026-08-03T12:02:14.009194Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:14.084993Z","title":"Automated detection and localization of myocardial infarction with interpretability analysis based on deep learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:14.084993Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:c6bf44b6a964958a738b674efbc11ac231c655388c6b2e48b4a50b9752a4482c","observation_id":"4d1d1256-3064-4544-a983-ebbd9da57167","resolution":{"observed_at":"2026-08-03T12:02:14.084993Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:14.161444Z","title":"A modular safety case for an iec-61508 compliant generic hypervisor,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:14.161444Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:00f86cee73a031b1fd6401756f59243b6fd02c62a701d011c583c0997d56967e","observation_id":"71f63787-25e8-4fd4-9577-9597aa685f4b","resolution":{"observed_at":"2026-08-03T12:02:14.161444Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:14.266238Z","title":"Ontology embedding: A survey of methods, applications and resources,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:14.266238Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:508ad24a1500d920e38b2655566f8ce134892c54a961662ed70df2025b0322b7","observation_id":"5e53c735-57da-47d2-8260-b24544f7a6a9","resolution":{"observed_at":"2026-08-03T12:02:14.266238Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:14.377182Z","title":"Ontology mapping-based semantic reasoning with opc ua for heterogeneous industrial devices,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:14.377182Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:32ee0f10df177f5f920494d3eb0475268a66d1fd37bec00c6ac30e1ac3fd9623","observation_id":"2b69b49d-5ad1-4dac-a3b8-539a1efa4317","resolution":{"observed_at":"2026-08-03T12:02:14.377182Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:14.484306Z","title":"Autoalign: Fully automatic and effective knowledge graph alignment enabled by large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:14.484306Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:89f09375184456745351b567e7a2933cdfd8b1dd2f0fd0e3f584845f803a6a4d","observation_id":"8b166927-1d65-4536-af81-90a847579180","resolution":{"observed_at":"2026-08-03T12:02:14.484306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:14.603635Z","title":"Knowledge enhanced graph neural networks for explainable recommendation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:14.603635Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:cd1d6004552c21521a3285face055d5d2c3d731564699d5332299e0e7afcc498","observation_id":"9fd3ad20-e6af-4a9e-8340-0ee4bf63bcba","resolution":{"observed_at":"2026-08-03T12:02:14.603635Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:14.718280Z","title":"Enhanced multi-task learning and knowledge graph- based recommender system,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:14.718280Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:7c6c6a9897b1033ad0fd6599dc7aba2688cd6c39fea2ec5415e7872943b354b5","observation_id":"2854ee3d-313e-46a6-aa88-b709fd020e43","resolution":{"observed_at":"2026-08-03T12:02:14.718280Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:14.793774Z","title":"Cogkr: Cognitive graph for multi-hop knowledge reasoning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:14.793774Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:caf2a909216b6269c68880f585a65fba71a90fc1c2282dee8706dcf9a7bc13b5","observation_id":"441a1aac-64eb-4c38-8f9a-e277315d30df","resolution":{"observed_at":"2026-08-03T12:02:14.793774Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:14.916674Z","title":"Saqe: Complex logical query answering via semantic- aware representation learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:14.916674Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:c50e915cb8630f0b2248c6624ac3d01e771a5af76392a1f56f2f6f715745c835","observation_id":"d2225be5-32d9-4768-806b-0d5213c29316","resolution":{"observed_at":"2026-08-03T12:02:14.916674Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:15.020912Z","title":"Large ai models and their applications: Classification, limitations, and potential solutions,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:15.020912Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:e35c08fb9ed2fde2853fba2bdd177d5863fc77e19a1334fcc2ae12bc6f6afe06","observation_id":"08285f41-8864-40aa-9967-54e5e8c8beba","resolution":{"observed_at":"2026-08-03T12:02:15.020912Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:15.167016Z","title":"Scene-driven multimodal knowledge graph construction for embodied ai,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:15.167016Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:d9189d784f5e86a89a149eeb69f80cd30c41e5242921ea64b2737ca5bfaaa32a","observation_id":"81c39b62-ab9f-463e-9518-0c893a3fe131","resolution":{"observed_at":"2026-08-03T12:02:15.167016Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:15.294975Z","title":"Unifying large language models and knowledge graphs: A roadmap,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:15.294975Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:ddc825542b544aaefa709dceec00e03909046fdaf0e0ddd9e192a94b3478154a","observation_id":"57cdc77c-116d-4e1c-a87b-f19e4787bc98","resolution":{"observed_at":"2026-08-03T12:02:15.294975Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:15.438406Z","title":"Integrating entity attributes for error-aware knowledge graph embedding,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:15.438406Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:750e5aaba71ce5875363253b9df10e9de239e392be1cc30907c766a5f5332d64","observation_id":"e03ef81c-3f76-4159-86d1-28e12baf9078","resolution":{"observed_at":"2026-08-03T12:02:15.438406Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:15.584743Z","title":"St-expertnet: A deep expert framework for traffic prediction,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:15.584743Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:e6a154a0fa64e1072b5dec00728ad6b8336c162d7a2584b3574045c468950dad","observation_id":"7e95fb1d-02c9-47d4-b9ab-7c6cb66d1afb","resolution":{"observed_at":"2026-08-03T12:02:15.584743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:15.777346Z","title":"Latent factor modeling with expert network for multi- behavior recommendation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:15.777346Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:828b6b665666cafd2406f64bf3902fc9f9df1814c4f3af46087bd4e7715263f4","observation_id":"5557a05a-e833-4e15-a115-fb60b76bf437","resolution":{"observed_at":"2026-08-03T12:02:15.777346Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:15.913232Z","title":"Context-aware commonsense knowledge graph reasoning with path-guided explanations,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:15.913232Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:626247b5aae08fcb2e8f3b51b385beda78d9defa18bcf0fc353123d9aae02b88","observation_id":"6e49234a-ced3-438d-84a0-d82bc66b41a6","resolution":{"observed_at":"2026-08-03T12:02:15.913232Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:16.048229Z","title":"Fusing monotonic decision tree based on related family,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:16.048229Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:44f56b00aec0e36a7f6faccdf6a9dd589153b23646de3579ea3d2b2527da95c6","observation_id":"c082419d-dc21-4bce-b48c-abdd23717dec","resolution":{"observed_at":"2026-08-03T12:02:16.048229Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:16.184103Z","title":"A linguistic z-number rule-based modeling framework considering knowledge reliability based on evidential reasoning rule,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:16.184103Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:8c55dd6bd7e448bc268e325c809f1186f9c92e456572f407fa61e62add37ef69","observation_id":"233d3d84-7a04-4d23-b9e0-042fd62ff267","resolution":{"observed_at":"2026-08-03T12:02:16.184103Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:16.369208Z","title":"A complex weighted discounting multisource information fusion with its application in pattern classification,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:16.369208Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:355c92e8986673befcae1b5295865fecbc02f6edb524cf770c741c9e98d045ca","observation_id":"afc77eb3-0fc3-456b-af94-0a7e04adec0a","resolution":{"observed_at":"2026-08-03T12:02:16.369208Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:16.421694Z","title":"Semi-supervised entity alignment via relation-based adaptive neighborhood matching,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:16.421694Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:67d165776b5c34474f85906c07d1266072edb2d50c32224c83035f979d3bf5c4","observation_id":"235ed696-b0f3-47b9-b42d-6053490dab35","resolution":{"observed_at":"2026-08-03T12:02:16.421694Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:16.505966Z","title":"Multimodal entity linking with dynamic modality selection and interactive prompt learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:16.505966Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:65c551b0e1c5992608c27241d5fe752886946c275855b67da3d03edbd1efb692","observation_id":"789e2e3d-d011-4b91-aff0-0767c74983fd","resolution":{"observed_at":"2026-08-03T12:02:16.505966Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T12:02:16.557691Z","title":"Multi-level attention map network for multimodal sentiment analysis,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence","version":2},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-03T12:02:16.557691Z"},"links":{"citing_paper":"/paper/2601.04569"},"observation_digest":"sha256:aa3a9219fc0c13ab761c94e0bc992ce47b123e95174b3e814681f12e819546f2","observation_id":"069662af-24c1-4565-888f-f0e051beb4c5","resolution":{"observed_at":"2026-08-03T12:02:16.557691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2601.04569","last_updated":"2026-07-04T07:34:50Z","latest_version":2,"primary_category":"cs.CE","snapshot_observed_at":"2026-08-13T13:21:10.187870Z","submitted_at":"2026-01-08T03:53:14Z","title":"Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":100,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":124},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 100 of 124 outbound references and 0 inbound Pith citation observations for arXiv:2601.04569."}