{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:HPWZCHYDBL2FADMD42E7LHECOR","short_pith_number":"pith:HPWZCHYD","schema_version":"1.0","canonical_sha256":"3bed911f030af4500d83e689f59c82744d7590635e557982e1ce64296076dd1f","source":{"kind":"arxiv","id":"2501.03245","version":1},"attestation_state":"computed","paper":{"title":"gECC: A GPU-based high-throughput framework for Elliptic Curve Cryptography","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AR","cs.DC"],"primary_cat":"cs.CR","authors_text":"Hai Jin, Haozhou Wang, Kaiyi Huang, Qian Xiong, Weiliang Ma, Xuanhua Shi, Yongluan Zhou, Zhengru Wang","submitted_at":"2024-12-22T01:50:50Z","abstract_excerpt":"Elliptic Curve Cryptography (ECC) is an encryption method that provides security comparable to traditional techniques like Rivest-Shamir-Adleman (RSA) but with lower computational complexity and smaller key sizes, making it a competitive option for applications such as blockchain, secure multi-party computation, and database security. However, the throughput of ECC is still hindered by the significant performance overhead associated with elliptic curve (EC) operations. This paper presents gECC, a versatile framework for ECC optimized for GPU architectures, specifically engineered to achieve hi"},"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":"2501.03245","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-12-22T01:50:50Z","cross_cats_sorted":["cs.AR","cs.DC"],"title_canon_sha256":"58fed5080a45131a8363e9bdfac6f1f5a530167ce0639f6e3e3c1d89673aa8e6","abstract_canon_sha256":"5d6120d9b382e0b9dca1636d0d2eb821327fb54bdda7cc92b8a4b22775f2076b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:57:51.247210Z","signature_b64":"vWjIzGUSTTIVUDg0vbYIOgVQ+BNavscmZ2mErRu4+/DCnkGgJWbwUH0aAtRnINgG4W/ldTDVRBtn9I8C+BXLDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3bed911f030af4500d83e689f59c82744d7590635e557982e1ce64296076dd1f","last_reissued_at":"2026-07-05T09:57:51.246790Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:57:51.246790Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"gECC: A GPU-based high-throughput framework for Elliptic Curve Cryptography","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AR","cs.DC"],"primary_cat":"cs.CR","authors_text":"Hai Jin, Haozhou Wang, Kaiyi Huang, Qian Xiong, Weiliang Ma, Xuanhua Shi, Yongluan Zhou, Zhengru Wang","submitted_at":"2024-12-22T01:50:50Z","abstract_excerpt":"Elliptic Curve Cryptography (ECC) is an encryption method that provides security comparable to traditional techniques like Rivest-Shamir-Adleman (RSA) but with lower computational complexity and smaller key sizes, making it a competitive option for applications such as blockchain, secure multi-party computation, and database security. However, the throughput of ECC is still hindered by the significant performance overhead associated with elliptic curve (EC) operations. This paper presents gECC, a versatile framework for ECC optimized for GPU architectures, specifically engineered to achieve hi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.03245","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/2501.03245/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":"2501.03245","created_at":"2026-07-05T09:57:51.246847+00:00"},{"alias_kind":"arxiv_version","alias_value":"2501.03245v1","created_at":"2026-07-05T09:57:51.246847+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.03245","created_at":"2026-07-05T09:57:51.246847+00:00"},{"alias_kind":"pith_short_12","alias_value":"HPWZCHYDBL2F","created_at":"2026-07-05T09:57:51.246847+00:00"},{"alias_kind":"pith_short_16","alias_value":"HPWZCHYDBL2FADMD","created_at":"2026-07-05T09:57:51.246847+00:00"},{"alias_kind":"pith_short_8","alias_value":"HPWZCHYD","created_at":"2026-07-05T09:57:51.246847+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/HPWZCHYDBL2FADMD42E7LHECOR","json":"https://pith.science/pith/HPWZCHYDBL2FADMD42E7LHECOR.json","graph_json":"https://pith.science/api/pith-number/HPWZCHYDBL2FADMD42E7LHECOR/graph.json","events_json":"https://pith.science/api/pith-number/HPWZCHYDBL2FADMD42E7LHECOR/events.json","paper":"https://pith.science/paper/HPWZCHYD"},"agent_actions":{"view_html":"https://pith.science/pith/HPWZCHYDBL2FADMD42E7LHECOR","download_json":"https://pith.science/pith/HPWZCHYDBL2FADMD42E7LHECOR.json","view_paper":"https://pith.science/paper/HPWZCHYD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2501.03245&json=true","fetch_graph":"https://pith.science/api/pith-number/HPWZCHYDBL2FADMD42E7LHECOR/graph.json","fetch_events":"https://pith.science/api/pith-number/HPWZCHYDBL2FADMD42E7LHECOR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HPWZCHYDBL2FADMD42E7LHECOR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HPWZCHYDBL2FADMD42E7LHECOR/action/storage_attestation","attest_author":"https://pith.science/pith/HPWZCHYDBL2FADMD42E7LHECOR/action/author_attestation","sign_citation":"https://pith.science/pith/HPWZCHYDBL2FADMD42E7LHECOR/action/citation_signature","submit_replication":"https://pith.science/pith/HPWZCHYDBL2FADMD42E7LHECOR/action/replication_record"}},"created_at":"2026-07-05T09:57:51.246847+00:00","updated_at":"2026-07-05T09:57:51.246847+00:00"}