{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PQ5YUVDD57GIKV7JWMN66SDJ5K","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"b898d0e7d6e9a159ac98fadcf830b3c5aaa52718f8601d5cee6077f509ed0e10","cross_cats_sorted":["cs.NA","math.NA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MS","submitted_at":"2026-06-17T15:49:34Z","title_canon_sha256":"98e2ce562d3e2dbe1b163b7a3a457abf59181149413fd4c20851fccce210421d"},"schema_version":"1.0","source":{"id":"2606.19213","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.19213","created_at":"2026-06-19T16:12:07Z"},{"alias_kind":"arxiv_version","alias_value":"2606.19213v1","created_at":"2026-06-19T16:12:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19213","created_at":"2026-06-19T16:12:07Z"},{"alias_kind":"pith_short_12","alias_value":"PQ5YUVDD57GI","created_at":"2026-06-19T16:12:07Z"},{"alias_kind":"pith_short_16","alias_value":"PQ5YUVDD57GIKV7J","created_at":"2026-06-19T16:12:07Z"},{"alias_kind":"pith_short_8","alias_value":"PQ5YUVDD","created_at":"2026-06-19T16:12:07Z"}],"graph_snapshots":[{"event_id":"sha256:d60f94ececa0a4448f2491683759ecdf99dc02fdd2157b7182f4365b47bb13f2","target":"graph","created_at":"2026-06-19T16:12:07Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2606.19213/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sparse matrix kernels form the computational backbone of scientific computing, traditionally relying on C/C++ and Fortran implementations that prioritize performance over memory safety. This work evaluates Rust as a systems-level alternative for sparse linear algebra by implementing and benchmarking three core workloads: sparse matrix-vector multiplication (SpMV), Lanczos-based Krylov methods, and matrix-exponential evaluation. We compare native Rust code against established baselines (Intel oneMKL, Eigen, PETSc, and PSBLAS) across a suite of representative matrices. Our results show that Rust","authors_text":"Fabio Durastante, Luca Lombardo","cross_cats":["cs.NA","math.NA"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MS","submitted_at":"2026-06-17T15:49:34Z","title":"Evaluating Rust for Sparse Matrix Kernels in Scientific Computing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19213","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:0ebd38df2012b86e0080969f4dd9cb3651ad0b5699ec7ba3cfe7d7d216dd4e71","target":"record","created_at":"2026-06-19T16:12:07Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"b898d0e7d6e9a159ac98fadcf830b3c5aaa52718f8601d5cee6077f509ed0e10","cross_cats_sorted":["cs.NA","math.NA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MS","submitted_at":"2026-06-17T15:49:34Z","title_canon_sha256":"98e2ce562d3e2dbe1b163b7a3a457abf59181149413fd4c20851fccce210421d"},"schema_version":"1.0","source":{"id":"2606.19213","kind":"arxiv","version":1}},"canonical_sha256":"7c3b8a5463efcc8557e9b31bef4869ea9942cb76a47cf03610d71cf291065f7e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7c3b8a5463efcc8557e9b31bef4869ea9942cb76a47cf03610d71cf291065f7e","first_computed_at":"2026-06-19T16:12:07.936411Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:12:07.936411Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Q+UDYSJ14gOxu+/4naq96FhVjKAG6zHLF5LMMu/quWb/vd4JkCQr9+KLbNaR5bXIjc4NY0ABIdw+ohbXlJgKDw==","signature_status":"signed_v1","signed_at":"2026-06-19T16:12:07.936758Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.19213","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0ebd38df2012b86e0080969f4dd9cb3651ad0b5699ec7ba3cfe7d7d216dd4e71","sha256:d60f94ececa0a4448f2491683759ecdf99dc02fdd2157b7182f4365b47bb13f2"],"state_sha256":"d31c5ff1d597342383d708bbd13a132af422b069c828e9d0f21e881187b49bbe"}