{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:QVIB2BP3BTB3HPQTQ6DJXBMP2I","short_pith_number":"pith:QVIB2BP3","schema_version":"1.0","canonical_sha256":"85501d05fb0cc3b3be1387869b858fd234b685a1495c2f68fff289d83f5c855d","source":{"kind":"arxiv","id":"2511.19615","version":2},"attestation_state":"computed","paper":{"title":"Improving divergence cleaning in cosmological SPMHD simulations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.GA","astro-ph.IM"],"primary_cat":"astro-ph.CO","authors_text":"Daniel J. Price, Ulrich P. Steinwandel","submitted_at":"2025-11-24T19:00:07Z","abstract_excerpt":"We implement the constrained hyperbolic/parabolic divergence cleaning algorithm into the cosmological smoothed particle magnetohydrodynamics (SPMHD) code {\\sc OpenGadget3}, modifying the governing equations so that the scheme can be applied consistently in an expanding cosmological framework. This ensures that divergence errors in the magnetic field are actively propagated away and damped, rather than advected with the flow and partially controlled by source terms as in the previously employed Powell eight-wave approach. We validate the implementation on a series of standard test problems -- t"},"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":"2511.19615","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.CO","submitted_at":"2025-11-24T19:00:07Z","cross_cats_sorted":["astro-ph.GA","astro-ph.IM"],"title_canon_sha256":"d030f2bf91c3d1ef63a976c100e384f63a2502adb92fb862aa3a93660027cd0e","abstract_canon_sha256":"43a181519cfb5492ec93ca9920f438f95eafa13e529954b06d3e64be49d8d496"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-11T01:09:22.863146Z","signature_b64":"fTjkdm8oAS453un78zMD/C7xquV6b8SY9IVx6dRm5ATV/JHghxTlV+El/D7CDEa3kGgIrBD5yAQI1/jA23EJDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"85501d05fb0cc3b3be1387869b858fd234b685a1495c2f68fff289d83f5c855d","last_reissued_at":"2026-06-11T01:09:22.862097Z","signature_status":"signed_v1","first_computed_at":"2026-06-11T01:09:22.862097Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Improving divergence cleaning in cosmological SPMHD simulations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.GA","astro-ph.IM"],"primary_cat":"astro-ph.CO","authors_text":"Daniel J. Price, Ulrich P. Steinwandel","submitted_at":"2025-11-24T19:00:07Z","abstract_excerpt":"We implement the constrained hyperbolic/parabolic divergence cleaning algorithm into the cosmological smoothed particle magnetohydrodynamics (SPMHD) code {\\sc OpenGadget3}, modifying the governing equations so that the scheme can be applied consistently in an expanding cosmological framework. This ensures that divergence errors in the magnetic field are actively propagated away and damped, rather than advected with the flow and partially controlled by source terms as in the previously employed Powell eight-wave approach. We validate the implementation on a series of standard test problems -- t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.19615","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/2511.19615/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":"2511.19615","created_at":"2026-06-11T01:09:22.862245+00:00"},{"alias_kind":"arxiv_version","alias_value":"2511.19615v2","created_at":"2026-06-11T01:09:22.862245+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.19615","created_at":"2026-06-11T01:09:22.862245+00:00"},{"alias_kind":"pith_short_12","alias_value":"QVIB2BP3BTB3","created_at":"2026-06-11T01:09:22.862245+00:00"},{"alias_kind":"pith_short_16","alias_value":"QVIB2BP3BTB3HPQT","created_at":"2026-06-11T01:09:22.862245+00:00"},{"alias_kind":"pith_short_8","alias_value":"QVIB2BP3","created_at":"2026-06-11T01:09:22.862245+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2605.07928","citing_title":"Systematic Comparison between Constrained Transport and Mixed Divergence Cleaning Methods for Astrophysical Magnetohydrodynamic Simulations","ref_index":42,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/QVIB2BP3BTB3HPQTQ6DJXBMP2I","json":"https://pith.science/pith/QVIB2BP3BTB3HPQTQ6DJXBMP2I.json","graph_json":"https://pith.science/api/pith-number/QVIB2BP3BTB3HPQTQ6DJXBMP2I/graph.json","events_json":"https://pith.science/api/pith-number/QVIB2BP3BTB3HPQTQ6DJXBMP2I/events.json","paper":"https://pith.science/paper/QVIB2BP3"},"agent_actions":{"view_html":"https://pith.science/pith/QVIB2BP3BTB3HPQTQ6DJXBMP2I","download_json":"https://pith.science/pith/QVIB2BP3BTB3HPQTQ6DJXBMP2I.json","view_paper":"https://pith.science/paper/QVIB2BP3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2511.19615&json=true","fetch_graph":"https://pith.science/api/pith-number/QVIB2BP3BTB3HPQTQ6DJXBMP2I/graph.json","fetch_events":"https://pith.science/api/pith-number/QVIB2BP3BTB3HPQTQ6DJXBMP2I/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QVIB2BP3BTB3HPQTQ6DJXBMP2I/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QVIB2BP3BTB3HPQTQ6DJXBMP2I/action/storage_attestation","attest_author":"https://pith.science/pith/QVIB2BP3BTB3HPQTQ6DJXBMP2I/action/author_attestation","sign_citation":"https://pith.science/pith/QVIB2BP3BTB3HPQTQ6DJXBMP2I/action/citation_signature","submit_replication":"https://pith.science/pith/QVIB2BP3BTB3HPQTQ6DJXBMP2I/action/replication_record"}},"created_at":"2026-06-11T01:09:22.862245+00:00","updated_at":"2026-06-11T01:09:22.862245+00:00"}