{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:ZLQZBTIN3QX23QWATHYTY4N53V","short_pith_number":"pith:ZLQZBTIN","schema_version":"1.0","canonical_sha256":"cae190cd0ddc2fadc2c099f13c71bddd700793f85e54601860c35040b3b6f2bb","source":{"kind":"arxiv","id":"2501.09182","version":1},"attestation_state":"computed","paper":{"title":"A Blockchain-Enabled Approach to Cross-Border Compliance and Trust","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CR","cs.CY","cs.SE"],"primary_cat":"cs.AI","authors_text":"Vikram Kulothungan","submitted_at":"2025-01-15T22:19:34Z","abstract_excerpt":"As artificial intelligence (AI) systems become increasingly integral to critical infrastructure and global operations, the need for a unified, trustworthy governance framework is more urgent that ever. This paper proposes a novel approach to AI governance, utilizing blockchain and distributed ledger technologies (DLT) to establish a decentralized, globally recognized framework that ensures security, privacy, and trustworthiness of AI systems across borders. The paper presents specific implementation scenarios within the financial sector, outlines a phased deployment timeline over the next deca"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2501.09182","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-01-15T22:19:34Z","cross_cats_sorted":["cs.CR","cs.CY","cs.SE"],"title_canon_sha256":"ca0b99d90f331ada0bfb9194c92eb855e09e01227509c1be73207c19a7ecb65d","abstract_canon_sha256":"7cd02f80341183661f98e55952e2efe4bc486e1805b0c4fe737be23c51019e38"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:01:43.218412Z","signature_b64":"WR+JoJIyNPqbAMOGbCYe3XOaTqVqk6qg8ZZFOn6kQ7PggxcZfJlo4laGCjhkARLofza3kvrAtFBvX/NqzVaOCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cae190cd0ddc2fadc2c099f13c71bddd700793f85e54601860c35040b3b6f2bb","last_reissued_at":"2026-07-05T10:01:43.217978Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:01:43.217978Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Blockchain-Enabled Approach to Cross-Border Compliance and Trust","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CR","cs.CY","cs.SE"],"primary_cat":"cs.AI","authors_text":"Vikram Kulothungan","submitted_at":"2025-01-15T22:19:34Z","abstract_excerpt":"As artificial intelligence (AI) systems become increasingly integral to critical infrastructure and global operations, the need for a unified, trustworthy governance framework is more urgent that ever. This paper proposes a novel approach to AI governance, utilizing blockchain and distributed ledger technologies (DLT) to establish a decentralized, globally recognized framework that ensures security, privacy, and trustworthiness of AI systems across borders. The paper presents specific implementation scenarios within the financial sector, outlines a phased deployment timeline over the next deca"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.09182","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2501.09182/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2501.09182","created_at":"2026-07-05T10:01:43.218030+00:00"},{"alias_kind":"arxiv_version","alias_value":"2501.09182v1","created_at":"2026-07-05T10:01:43.218030+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.09182","created_at":"2026-07-05T10:01:43.218030+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZLQZBTIN3QX2","created_at":"2026-07-05T10:01:43.218030+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZLQZBTIN3QX23QWA","created_at":"2026-07-05T10:01:43.218030+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZLQZBTIN","created_at":"2026-07-05T10:01:43.218030+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ZLQZBTIN3QX23QWATHYTY4N53V","json":"https://pith.science/pith/ZLQZBTIN3QX23QWATHYTY4N53V.json","graph_json":"https://pith.science/api/pith-number/ZLQZBTIN3QX23QWATHYTY4N53V/graph.json","events_json":"https://pith.science/api/pith-number/ZLQZBTIN3QX23QWATHYTY4N53V/events.json","paper":"https://pith.science/paper/ZLQZBTIN"},"agent_actions":{"view_html":"https://pith.science/pith/ZLQZBTIN3QX23QWATHYTY4N53V","download_json":"https://pith.science/pith/ZLQZBTIN3QX23QWATHYTY4N53V.json","view_paper":"https://pith.science/paper/ZLQZBTIN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2501.09182&json=true","fetch_graph":"https://pith.science/api/pith-number/ZLQZBTIN3QX23QWATHYTY4N53V/graph.json","fetch_events":"https://pith.science/api/pith-number/ZLQZBTIN3QX23QWATHYTY4N53V/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZLQZBTIN3QX23QWATHYTY4N53V/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZLQZBTIN3QX23QWATHYTY4N53V/action/storage_attestation","attest_author":"https://pith.science/pith/ZLQZBTIN3QX23QWATHYTY4N53V/action/author_attestation","sign_citation":"https://pith.science/pith/ZLQZBTIN3QX23QWATHYTY4N53V/action/citation_signature","submit_replication":"https://pith.science/pith/ZLQZBTIN3QX23QWATHYTY4N53V/action/replication_record"}},"created_at":"2026-07-05T10:01:43.218030+00:00","updated_at":"2026-07-05T10:01:43.218030+00:00"}