{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:CEAO5S4ZWEAIQOJ62H6UZXGUGK","short_pith_number":"pith:CEAO5S4Z","schema_version":"1.0","canonical_sha256":"1100eecb99b10088393ed1fd4cdcd432b4218c5e69f33a854e6be1e95c639341","source":{"kind":"arxiv","id":"2505.18914","version":1},"attestation_state":"computed","paper":{"title":"A \"Neural\" Riemann solver for Relativistic Hydrodynamics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"gr-qc","authors_text":"Carlo Musolino","submitted_at":"2025-05-25T00:44:25Z","abstract_excerpt":"In this paper, we present an approach to solving the Riemann problem in one-dimensional relativistic hydrodynamics, where the most computationally expensive steps of the exact solver are replaced by compact, highly specialized neural networks. The resulting \"neural\" Riemann solver is integrated into a high-resolution shock-capturing scheme and tested on a range of canonical problems, demonstrating both robustness and efficiency. By constraining the learned components to the root-finding of single-valued functions, the method retains physical interpretability while significantly accelerating th"},"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":"2505.18914","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"gr-qc","submitted_at":"2025-05-25T00:44:25Z","cross_cats_sorted":[],"title_canon_sha256":"5ef9f7d146d18ca41a68ae9533e876dbd619498278703ead351e0fcdd6bca67c","abstract_canon_sha256":"1812bfbb2c7a6190963725c9cc0e8b6d440b1d929c9c470452cdb3873660b6dc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:09:21.731698Z","signature_b64":"WYDBhLxyme+mAdgZatR0I9s1KuRs8f54e4ElvnQ+opaHr14bjuNvnQtm1DCFAbCmh3ejL7Jqm4nwJgsPcrIuBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1100eecb99b10088393ed1fd4cdcd432b4218c5e69f33a854e6be1e95c639341","last_reissued_at":"2026-07-05T11:09:21.731168Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:09:21.731168Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A \"Neural\" Riemann solver for Relativistic Hydrodynamics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"gr-qc","authors_text":"Carlo Musolino","submitted_at":"2025-05-25T00:44:25Z","abstract_excerpt":"In this paper, we present an approach to solving the Riemann problem in one-dimensional relativistic hydrodynamics, where the most computationally expensive steps of the exact solver are replaced by compact, highly specialized neural networks. The resulting \"neural\" Riemann solver is integrated into a high-resolution shock-capturing scheme and tested on a range of canonical problems, demonstrating both robustness and efficiency. By constraining the learned components to the root-finding of single-valued functions, the method retains physical interpretability while significantly accelerating th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.18914","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/2505.18914/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":"2505.18914","created_at":"2026-07-05T11:09:21.731229+00:00"},{"alias_kind":"arxiv_version","alias_value":"2505.18914v1","created_at":"2026-07-05T11:09:21.731229+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.18914","created_at":"2026-07-05T11:09:21.731229+00:00"},{"alias_kind":"pith_short_12","alias_value":"CEAO5S4ZWEAI","created_at":"2026-07-05T11:09:21.731229+00:00"},{"alias_kind":"pith_short_16","alias_value":"CEAO5S4ZWEAIQOJ6","created_at":"2026-07-05T11:09:21.731229+00:00"},{"alias_kind":"pith_short_8","alias_value":"CEAO5S4Z","created_at":"2026-07-05T11:09:21.731229+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/CEAO5S4ZWEAIQOJ62H6UZXGUGK","json":"https://pith.science/pith/CEAO5S4ZWEAIQOJ62H6UZXGUGK.json","graph_json":"https://pith.science/api/pith-number/CEAO5S4ZWEAIQOJ62H6UZXGUGK/graph.json","events_json":"https://pith.science/api/pith-number/CEAO5S4ZWEAIQOJ62H6UZXGUGK/events.json","paper":"https://pith.science/paper/CEAO5S4Z"},"agent_actions":{"view_html":"https://pith.science/pith/CEAO5S4ZWEAIQOJ62H6UZXGUGK","download_json":"https://pith.science/pith/CEAO5S4ZWEAIQOJ62H6UZXGUGK.json","view_paper":"https://pith.science/paper/CEAO5S4Z","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2505.18914&json=true","fetch_graph":"https://pith.science/api/pith-number/CEAO5S4ZWEAIQOJ62H6UZXGUGK/graph.json","fetch_events":"https://pith.science/api/pith-number/CEAO5S4ZWEAIQOJ62H6UZXGUGK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CEAO5S4ZWEAIQOJ62H6UZXGUGK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CEAO5S4ZWEAIQOJ62H6UZXGUGK/action/storage_attestation","attest_author":"https://pith.science/pith/CEAO5S4ZWEAIQOJ62H6UZXGUGK/action/author_attestation","sign_citation":"https://pith.science/pith/CEAO5S4ZWEAIQOJ62H6UZXGUGK/action/citation_signature","submit_replication":"https://pith.science/pith/CEAO5S4ZWEAIQOJ62H6UZXGUGK/action/replication_record"}},"created_at":"2026-07-05T11:09:21.731229+00:00","updated_at":"2026-07-05T11:09:21.731229+00:00"}