{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:U6772GT2TTZUHWOXAZWCVK3HAX","short_pith_number":"pith:U6772GT2","schema_version":"1.0","canonical_sha256":"a7bffd1a7a9cf343d9d7066c2aab6705dfee6dc68a9fdfe632a9e8b2cca2ad79","source":{"kind":"arxiv","id":"1809.04352","version":1},"attestation_state":"computed","paper":{"title":"Divide-and-Conquer Strategy for Large-Scale Eulerian Solvent Excluded Surface","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"q-bio.QM","authors_text":"Guo-Wei Wei, Menglun Wang, Rundong Zhao, Yiying Tong","submitted_at":"2018-09-12T10:35:31Z","abstract_excerpt":"Motivation: Surface generation and visualization are some of the most important tasks in biomolecular modeling and computation. Eulerian solvent excluded surface (ESES) software provides analytical solvent excluded surface (SES) in the Cartesian grid, which is necessary for simulating many biomolecular electrostatic and ion channel models. However, large biomolecules and/or fine grid resolutions give rise to excessively large memory requirements in ESES construction. We introduce an out-of-core and parallel algorithm to improve the ESES software.\n  Results: The present approach drastically imp"},"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":"1809.04352","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2018-09-12T10:35:31Z","cross_cats_sorted":["physics.comp-ph"],"title_canon_sha256":"d1a4ae2f208822cc8aacc12425141c3037740e7038ddbc356b6223c9f6d287b5","abstract_canon_sha256":"f5a194914f2fd01d803e645783980e6ff942a5b0123fd980640449b70b10cb93"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:05:52.650273Z","signature_b64":"FtJdgJYZ2ut9+Lsr/CbzYTRJqzpcQeyRT7sSeb+uAxkpTX7lsi4uvTxx49fmu849a3cjFEJbxeyESb6PbyTZAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a7bffd1a7a9cf343d9d7066c2aab6705dfee6dc68a9fdfe632a9e8b2cca2ad79","last_reissued_at":"2026-05-18T00:05:52.649455Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:05:52.649455Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Divide-and-Conquer Strategy for Large-Scale Eulerian Solvent Excluded Surface","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"q-bio.QM","authors_text":"Guo-Wei Wei, Menglun Wang, Rundong Zhao, Yiying Tong","submitted_at":"2018-09-12T10:35:31Z","abstract_excerpt":"Motivation: Surface generation and visualization are some of the most important tasks in biomolecular modeling and computation. Eulerian solvent excluded surface (ESES) software provides analytical solvent excluded surface (SES) in the Cartesian grid, which is necessary for simulating many biomolecular electrostatic and ion channel models. However, large biomolecules and/or fine grid resolutions give rise to excessively large memory requirements in ESES construction. We introduce an out-of-core and parallel algorithm to improve the ESES software.\n  Results: The present approach drastically imp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.04352","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":""},"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":"1809.04352","created_at":"2026-05-18T00:05:52.649605+00:00"},{"alias_kind":"arxiv_version","alias_value":"1809.04352v1","created_at":"2026-05-18T00:05:52.649605+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.04352","created_at":"2026-05-18T00:05:52.649605+00:00"},{"alias_kind":"pith_short_12","alias_value":"U6772GT2TTZU","created_at":"2026-05-18T12:32:56.356000+00:00"},{"alias_kind":"pith_short_16","alias_value":"U6772GT2TTZUHWOX","created_at":"2026-05-18T12:32:56.356000+00:00"},{"alias_kind":"pith_short_8","alias_value":"U6772GT2","created_at":"2026-05-18T12:32:56.356000+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/U6772GT2TTZUHWOXAZWCVK3HAX","json":"https://pith.science/pith/U6772GT2TTZUHWOXAZWCVK3HAX.json","graph_json":"https://pith.science/api/pith-number/U6772GT2TTZUHWOXAZWCVK3HAX/graph.json","events_json":"https://pith.science/api/pith-number/U6772GT2TTZUHWOXAZWCVK3HAX/events.json","paper":"https://pith.science/paper/U6772GT2"},"agent_actions":{"view_html":"https://pith.science/pith/U6772GT2TTZUHWOXAZWCVK3HAX","download_json":"https://pith.science/pith/U6772GT2TTZUHWOXAZWCVK3HAX.json","view_paper":"https://pith.science/paper/U6772GT2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1809.04352&json=true","fetch_graph":"https://pith.science/api/pith-number/U6772GT2TTZUHWOXAZWCVK3HAX/graph.json","fetch_events":"https://pith.science/api/pith-number/U6772GT2TTZUHWOXAZWCVK3HAX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/U6772GT2TTZUHWOXAZWCVK3HAX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/U6772GT2TTZUHWOXAZWCVK3HAX/action/storage_attestation","attest_author":"https://pith.science/pith/U6772GT2TTZUHWOXAZWCVK3HAX/action/author_attestation","sign_citation":"https://pith.science/pith/U6772GT2TTZUHWOXAZWCVK3HAX/action/citation_signature","submit_replication":"https://pith.science/pith/U6772GT2TTZUHWOXAZWCVK3HAX/action/replication_record"}},"created_at":"2026-05-18T00:05:52.649605+00:00","updated_at":"2026-05-18T00:05:52.649605+00:00"}