{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2006:7XFJDKZRRBABTLGDXPOYU6FOBQ","short_pith_number":"pith:7XFJDKZR","schema_version":"1.0","canonical_sha256":"fdca91ab31884019acc3bbdd8a78ae0c1ed0bcf48fdcd945356997373eaf32bf","source":{"kind":"arxiv","id":"gr-qc/0605102","version":2},"attestation_state":"computed","paper":{"title":"Relativistic MHD with Adaptive Mesh Refinement","license":"","headline":"","cross_cats":[],"primary_cat":"gr-qc","authors_text":"David Neilsen, Eric Hirschmann, Matthew Anderson, Steven L. Liebling","submitted_at":"2006-05-17T21:50:01Z","abstract_excerpt":"This paper presents a new computer code to solve the general relativistic magnetohydrodynamics (GRMHD) equations using distributed parallel adaptive mesh refinement (AMR). The fluid equations are solved using a finite difference Convex ENO method (CENO) in 3+1 dimensions, and the AMR is Berger-Oliger. Hyperbolic divergence cleaning is used to control the $\\nabla\\cdot {\\bf B}=0$ constraint. We present results from three flat space tests, and examine the accretion of a fluid onto a Schwarzschild black hole, reproducing the Michel solution. The AMR simulations substantially improve performance wh"},"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":"gr-qc/0605102","kind":"arxiv","version":2},"metadata":{"license":"","primary_cat":"gr-qc","submitted_at":"2006-05-17T21:50:01Z","cross_cats_sorted":[],"title_canon_sha256":"9e2c929d99a97e4b30f08f8806dbc2a89369d836d0aabb7d23954e69195a1113","abstract_canon_sha256":"a32b32b7f6b6a69c2d9ef6bb032f79997682cbf540ab1d85e6f71464d9654052"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T17:01:28.139014Z","signature_b64":"8ErHyIP3z/fWEH7VDAhso6RtSJlZOhzigOlNaMKcFMXgw+beu4CqguwCMBHMQ1ESj7BTHwuSOH2wrV7ysEbjAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fdca91ab31884019acc3bbdd8a78ae0c1ed0bcf48fdcd945356997373eaf32bf","last_reissued_at":"2026-07-04T17:01:28.138638Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T17:01:28.138638Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Relativistic MHD with Adaptive Mesh Refinement","license":"","headline":"","cross_cats":[],"primary_cat":"gr-qc","authors_text":"David Neilsen, Eric Hirschmann, Matthew Anderson, Steven L. Liebling","submitted_at":"2006-05-17T21:50:01Z","abstract_excerpt":"This paper presents a new computer code to solve the general relativistic magnetohydrodynamics (GRMHD) equations using distributed parallel adaptive mesh refinement (AMR). The fluid equations are solved using a finite difference Convex ENO method (CENO) in 3+1 dimensions, and the AMR is Berger-Oliger. Hyperbolic divergence cleaning is used to control the $\\nabla\\cdot {\\bf B}=0$ constraint. We present results from three flat space tests, and examine the accretion of a fluid onto a Schwarzschild black hole, reproducing the Michel solution. The AMR simulations substantially improve performance wh"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"gr-qc/0605102","kind":"arxiv","version":2},"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/gr-qc/0605102/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":"gr-qc/0605102","created_at":"2026-07-04T17:01:28.138694+00:00"},{"alias_kind":"arxiv_version","alias_value":"gr-qc/0605102v2","created_at":"2026-07-04T17:01:28.138694+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.gr-qc/0605102","created_at":"2026-07-04T17:01:28.138694+00:00"},{"alias_kind":"pith_short_12","alias_value":"7XFJDKZRRBAB","created_at":"2026-07-04T17:01:28.138694+00:00"},{"alias_kind":"pith_short_16","alias_value":"7XFJDKZRRBABTLGD","created_at":"2026-07-04T17:01:28.138694+00:00"},{"alias_kind":"pith_short_8","alias_value":"7XFJDKZR","created_at":"2026-07-04T17:01:28.138694+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2606.24215","citing_title":"Nonlinear Stability of Kerr-Sen Black Holes in Merging Binaries","ref_index":60,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/7XFJDKZRRBABTLGDXPOYU6FOBQ","json":"https://pith.science/pith/7XFJDKZRRBABTLGDXPOYU6FOBQ.json","graph_json":"https://pith.science/api/pith-number/7XFJDKZRRBABTLGDXPOYU6FOBQ/graph.json","events_json":"https://pith.science/api/pith-number/7XFJDKZRRBABTLGDXPOYU6FOBQ/events.json","paper":"https://pith.science/paper/7XFJDKZR"},"agent_actions":{"view_html":"https://pith.science/pith/7XFJDKZRRBABTLGDXPOYU6FOBQ","download_json":"https://pith.science/pith/7XFJDKZRRBABTLGDXPOYU6FOBQ.json","view_paper":"https://pith.science/paper/7XFJDKZR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=gr-qc/0605102&json=true","fetch_graph":"https://pith.science/api/pith-number/7XFJDKZRRBABTLGDXPOYU6FOBQ/graph.json","fetch_events":"https://pith.science/api/pith-number/7XFJDKZRRBABTLGDXPOYU6FOBQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7XFJDKZRRBABTLGDXPOYU6FOBQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7XFJDKZRRBABTLGDXPOYU6FOBQ/action/storage_attestation","attest_author":"https://pith.science/pith/7XFJDKZRRBABTLGDXPOYU6FOBQ/action/author_attestation","sign_citation":"https://pith.science/pith/7XFJDKZRRBABTLGDXPOYU6FOBQ/action/citation_signature","submit_replication":"https://pith.science/pith/7XFJDKZRRBABTLGDXPOYU6FOBQ/action/replication_record"}},"created_at":"2026-07-04T17:01:28.138694+00:00","updated_at":"2026-07-04T17:01:28.138694+00:00"}