{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:HO7J42BVBJT26Q55AGXY7ASIKP","short_pith_number":"pith:HO7J42BV","schema_version":"1.0","canonical_sha256":"3bbe9e68350a67af43bd01af8f824853f96de6f8b0f40f8d5aafbb13bdaa9ac8","source":{"kind":"arxiv","id":"2302.13903","version":1},"attestation_state":"computed","paper":{"title":"The Athena++ Adaptive Mesh Refinement Framework: Multigrid Solvers for Self-Gravity","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"James M. Stone, Kengo Tomida","submitted_at":"2023-02-27T15:46:31Z","abstract_excerpt":"We describe the implementation of multigrid solvers in the Athena++ adaptive mesh refinement (AMR) framework and their application to the solution of the Poisson equation for self-gravity. The new solvers are built on top of the AMR hierarchy and TaskList framework of Athena++ for efficient parallelization. We adopt a conservative formulation for the Laplacian operator that avoids artificial accelerations at level boundaries. Periodic, fixed, and zero-gradient boundary conditions are implemented, as well as open boundary conditions based on a multipole expansion. Hybrid parallelization using b"},"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":"2302.13903","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2023-02-27T15:46:31Z","cross_cats_sorted":[],"title_canon_sha256":"3b007e0f58e2379c2d1733932b8449cf2f3a9c0bfc832eb7043cfa13faffaeee","abstract_canon_sha256":"eae4b208701dfa63ed3bf3eb195f7be3efb3b29e2081565fd9ada205b7141fc4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:06:13.961300Z","signature_b64":"gmB6IVvakgQKMjbVZEdNGW2a/NZN7+LoGm2T+8MwMusp2v2Cm8H+kMqalvIv9fu61ZzdX9dPr/CnIYKIQ1elDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3bbe9e68350a67af43bd01af8f824853f96de6f8b0f40f8d5aafbb13bdaa9ac8","last_reissued_at":"2026-07-05T06:06:13.960915Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:06:13.960915Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Athena++ Adaptive Mesh Refinement Framework: Multigrid Solvers for Self-Gravity","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"James M. Stone, Kengo Tomida","submitted_at":"2023-02-27T15:46:31Z","abstract_excerpt":"We describe the implementation of multigrid solvers in the Athena++ adaptive mesh refinement (AMR) framework and their application to the solution of the Poisson equation for self-gravity. The new solvers are built on top of the AMR hierarchy and TaskList framework of Athena++ for efficient parallelization. We adopt a conservative formulation for the Laplacian operator that avoids artificial accelerations at level boundaries. Periodic, fixed, and zero-gradient boundary conditions are implemented, as well as open boundary conditions based on a multipole expansion. Hybrid parallelization using b"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.13903","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/2302.13903/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":"2302.13903","created_at":"2026-07-05T06:06:13.960970+00:00"},{"alias_kind":"arxiv_version","alias_value":"2302.13903v1","created_at":"2026-07-05T06:06:13.960970+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.13903","created_at":"2026-07-05T06:06:13.960970+00:00"},{"alias_kind":"pith_short_12","alias_value":"HO7J42BVBJT2","created_at":"2026-07-05T06:06:13.960970+00:00"},{"alias_kind":"pith_short_16","alias_value":"HO7J42BVBJT26Q55","created_at":"2026-07-05T06:06:13.960970+00:00"},{"alias_kind":"pith_short_8","alias_value":"HO7J42BV","created_at":"2026-07-05T06:06:13.960970+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/HO7J42BVBJT26Q55AGXY7ASIKP","json":"https://pith.science/pith/HO7J42BVBJT26Q55AGXY7ASIKP.json","graph_json":"https://pith.science/api/pith-number/HO7J42BVBJT26Q55AGXY7ASIKP/graph.json","events_json":"https://pith.science/api/pith-number/HO7J42BVBJT26Q55AGXY7ASIKP/events.json","paper":"https://pith.science/paper/HO7J42BV"},"agent_actions":{"view_html":"https://pith.science/pith/HO7J42BVBJT26Q55AGXY7ASIKP","download_json":"https://pith.science/pith/HO7J42BVBJT26Q55AGXY7ASIKP.json","view_paper":"https://pith.science/paper/HO7J42BV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2302.13903&json=true","fetch_graph":"https://pith.science/api/pith-number/HO7J42BVBJT26Q55AGXY7ASIKP/graph.json","fetch_events":"https://pith.science/api/pith-number/HO7J42BVBJT26Q55AGXY7ASIKP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HO7J42BVBJT26Q55AGXY7ASIKP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HO7J42BVBJT26Q55AGXY7ASIKP/action/storage_attestation","attest_author":"https://pith.science/pith/HO7J42BVBJT26Q55AGXY7ASIKP/action/author_attestation","sign_citation":"https://pith.science/pith/HO7J42BVBJT26Q55AGXY7ASIKP/action/citation_signature","submit_replication":"https://pith.science/pith/HO7J42BVBJT26Q55AGXY7ASIKP/action/replication_record"}},"created_at":"2026-07-05T06:06:13.960970+00:00","updated_at":"2026-07-05T06:06:13.960970+00:00"}