{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:66NXDETGPU7ZBT43CBBIUBCYWV","short_pith_number":"pith:66NXDETG","schema_version":"1.0","canonical_sha256":"f79b7192667d3f90cf9b10428a0458b574117a8f7b9e75f7d3d00ab889be80a9","source":{"kind":"arxiv","id":"2605.22039","version":1},"attestation_state":"computed","paper":{"title":"Secure and Parallel Determinant Computation for Large-Scale Matrices in Edge Environments","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CR","cs.MS"],"primary_cat":"cs.DC","authors_text":"Prajwal Panth","submitted_at":"2026-05-21T06:23:17Z","abstract_excerpt":"The advent of edge computing has enabled resource-constrained clients to delegate intensive computational tasks to distributed edge servers, especially within Internet of Things (IoT) environments. Among such tasks, Matrix Determinant Computation (MDC) remains critical for applications in control systems, cryptography, and machine learning. However, the cubic complexity of traditional determinant algorithms makes them unsuitable for real-time processing in constrained edge scenarios.\n  We propose a Secure Parallel Determinant Computation (SPDC) framework, which provides strong security guarant"},"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":"2605.22039","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2026-05-21T06:23:17Z","cross_cats_sorted":["cs.AI","cs.CR","cs.MS"],"title_canon_sha256":"46fc57b2b305904b761748091a1988c12d44bfe75949b1742b9340448d866668","abstract_canon_sha256":"6ffcd63e27e36cb13b8980415955d511ffd6c5779ae5df59b8f922058cf717af"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-22T01:04:21.825184Z","signature_b64":"CM7U+/I3zyXq3VtMw+yM6D8h3xvmlQlQgQ9Ga01VT1PVLvLAtxsF4+7OmbkrzOEOlRDztyuIo4QpyofZllmRBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f79b7192667d3f90cf9b10428a0458b574117a8f7b9e75f7d3d00ab889be80a9","last_reissued_at":"2026-05-22T01:04:21.824357Z","signature_status":"signed_v1","first_computed_at":"2026-05-22T01:04:21.824357Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Secure and Parallel Determinant Computation for Large-Scale Matrices in Edge Environments","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CR","cs.MS"],"primary_cat":"cs.DC","authors_text":"Prajwal Panth","submitted_at":"2026-05-21T06:23:17Z","abstract_excerpt":"The advent of edge computing has enabled resource-constrained clients to delegate intensive computational tasks to distributed edge servers, especially within Internet of Things (IoT) environments. Among such tasks, Matrix Determinant Computation (MDC) remains critical for applications in control systems, cryptography, and machine learning. However, the cubic complexity of traditional determinant algorithms makes them unsuitable for real-time processing in constrained edge scenarios.\n  We propose a Secure Parallel Determinant Computation (SPDC) framework, which provides strong security guarant"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22039","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/2605.22039/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":"2605.22039","created_at":"2026-05-22T01:04:21.824499+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.22039v1","created_at":"2026-05-22T01:04:21.824499+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22039","created_at":"2026-05-22T01:04:21.824499+00:00"},{"alias_kind":"pith_short_12","alias_value":"66NXDETGPU7Z","created_at":"2026-05-22T01:04:21.824499+00:00"},{"alias_kind":"pith_short_16","alias_value":"66NXDETGPU7ZBT43","created_at":"2026-05-22T01:04:21.824499+00:00"},{"alias_kind":"pith_short_8","alias_value":"66NXDETG","created_at":"2026-05-22T01:04:21.824499+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/66NXDETGPU7ZBT43CBBIUBCYWV","json":"https://pith.science/pith/66NXDETGPU7ZBT43CBBIUBCYWV.json","graph_json":"https://pith.science/api/pith-number/66NXDETGPU7ZBT43CBBIUBCYWV/graph.json","events_json":"https://pith.science/api/pith-number/66NXDETGPU7ZBT43CBBIUBCYWV/events.json","paper":"https://pith.science/paper/66NXDETG"},"agent_actions":{"view_html":"https://pith.science/pith/66NXDETGPU7ZBT43CBBIUBCYWV","download_json":"https://pith.science/pith/66NXDETGPU7ZBT43CBBIUBCYWV.json","view_paper":"https://pith.science/paper/66NXDETG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.22039&json=true","fetch_graph":"https://pith.science/api/pith-number/66NXDETGPU7ZBT43CBBIUBCYWV/graph.json","fetch_events":"https://pith.science/api/pith-number/66NXDETGPU7ZBT43CBBIUBCYWV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/66NXDETGPU7ZBT43CBBIUBCYWV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/66NXDETGPU7ZBT43CBBIUBCYWV/action/storage_attestation","attest_author":"https://pith.science/pith/66NXDETGPU7ZBT43CBBIUBCYWV/action/author_attestation","sign_citation":"https://pith.science/pith/66NXDETGPU7ZBT43CBBIUBCYWV/action/citation_signature","submit_replication":"https://pith.science/pith/66NXDETGPU7ZBT43CBBIUBCYWV/action/replication_record"}},"created_at":"2026-05-22T01:04:21.824499+00:00","updated_at":"2026-05-22T01:04:21.824499+00:00"}