{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:YVM6PU3XWRKR5PRYYEVBSA6BR2","short_pith_number":"pith:YVM6PU3X","schema_version":"1.0","canonical_sha256":"c559e7d377b4551ebe38c12a1903c18eb6462cbbf4f6dc3a90dd4e13561f99fd","source":{"kind":"arxiv","id":"2506.06494","version":1},"attestation_state":"computed","paper":{"title":"JGS2: Near Second-order Converging Jacobi/Gauss-Seidel for GPU Elastodynamics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.GR","authors_text":"Chenfanfu Jiang, Chun Yuan, Hao Su, Huamin Wang, Lei Lan, Weiwei Xu, Yin Yang, Zixuan Lu","submitted_at":"2025-06-06T19:42:16Z","abstract_excerpt":"In parallel simulation, convergence and parallelism are often seen as inherently conflicting objectives. Improved parallelism typically entails lighter local computation and weaker coupling, which unavoidably slow the global convergence. This paper presents a novel GPU algorithm that achieves convergence rates comparable to fullspace Newton's method while maintaining good parallelizability just like the Jacobi method. Our approach is built on a key insight into the phenomenon of overshoot. Overshoot occurs when a local solver aggressively minimizes its local energy without accounting for the g"},"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":"2506.06494","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-06-06T19:42:16Z","cross_cats_sorted":[],"title_canon_sha256":"25d03942cfd83a1eb9c4080378d7c153188a254e4091c4d33b2eee46a2c67915","abstract_canon_sha256":"500a7c78233a8832a7c6752ba39412613d727b50070d48dfb980dd36a08a4e46"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:17:51.088484Z","signature_b64":"pkJ8xi6+2NMUDyBs3BR1zWrvqJv49dmjRPNdRHCLNto26+ANP9epqAvoYMRi0Bi/90whIWzl0u4eTgI9Qa5TBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c559e7d377b4551ebe38c12a1903c18eb6462cbbf4f6dc3a90dd4e13561f99fd","last_reissued_at":"2026-07-05T11:17:51.087985Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:17:51.087985Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"JGS2: Near Second-order Converging Jacobi/Gauss-Seidel for GPU Elastodynamics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.GR","authors_text":"Chenfanfu Jiang, Chun Yuan, Hao Su, Huamin Wang, Lei Lan, Weiwei Xu, Yin Yang, Zixuan Lu","submitted_at":"2025-06-06T19:42:16Z","abstract_excerpt":"In parallel simulation, convergence and parallelism are often seen as inherently conflicting objectives. Improved parallelism typically entails lighter local computation and weaker coupling, which unavoidably slow the global convergence. This paper presents a novel GPU algorithm that achieves convergence rates comparable to fullspace Newton's method while maintaining good parallelizability just like the Jacobi method. Our approach is built on a key insight into the phenomenon of overshoot. Overshoot occurs when a local solver aggressively minimizes its local energy without accounting for the g"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.06494","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/2506.06494/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":"2506.06494","created_at":"2026-07-05T11:17:51.088045+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.06494v1","created_at":"2026-07-05T11:17:51.088045+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.06494","created_at":"2026-07-05T11:17:51.088045+00:00"},{"alias_kind":"pith_short_12","alias_value":"YVM6PU3XWRKR","created_at":"2026-07-05T11:17:51.088045+00:00"},{"alias_kind":"pith_short_16","alias_value":"YVM6PU3XWRKR5PRY","created_at":"2026-07-05T11:17:51.088045+00:00"},{"alias_kind":"pith_short_8","alias_value":"YVM6PU3X","created_at":"2026-07-05T11:17:51.088045+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/YVM6PU3XWRKR5PRYYEVBSA6BR2","json":"https://pith.science/pith/YVM6PU3XWRKR5PRYYEVBSA6BR2.json","graph_json":"https://pith.science/api/pith-number/YVM6PU3XWRKR5PRYYEVBSA6BR2/graph.json","events_json":"https://pith.science/api/pith-number/YVM6PU3XWRKR5PRYYEVBSA6BR2/events.json","paper":"https://pith.science/paper/YVM6PU3X"},"agent_actions":{"view_html":"https://pith.science/pith/YVM6PU3XWRKR5PRYYEVBSA6BR2","download_json":"https://pith.science/pith/YVM6PU3XWRKR5PRYYEVBSA6BR2.json","view_paper":"https://pith.science/paper/YVM6PU3X","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.06494&json=true","fetch_graph":"https://pith.science/api/pith-number/YVM6PU3XWRKR5PRYYEVBSA6BR2/graph.json","fetch_events":"https://pith.science/api/pith-number/YVM6PU3XWRKR5PRYYEVBSA6BR2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YVM6PU3XWRKR5PRYYEVBSA6BR2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YVM6PU3XWRKR5PRYYEVBSA6BR2/action/storage_attestation","attest_author":"https://pith.science/pith/YVM6PU3XWRKR5PRYYEVBSA6BR2/action/author_attestation","sign_citation":"https://pith.science/pith/YVM6PU3XWRKR5PRYYEVBSA6BR2/action/citation_signature","submit_replication":"https://pith.science/pith/YVM6PU3XWRKR5PRYYEVBSA6BR2/action/replication_record"}},"created_at":"2026-07-05T11:17:51.088045+00:00","updated_at":"2026-07-05T11:17:51.088045+00:00"}