{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:XR5PKHWNWSV4CSQOQXPXUF5N5B","short_pith_number":"pith:XR5PKHWN","schema_version":"1.0","canonical_sha256":"bc7af51ecdb4abc14a0e85df7a17ade86fc19197eb37e1aef1b746db901e8fc7","source":{"kind":"arxiv","id":"1802.08239","version":2},"attestation_state":"computed","paper":{"title":"AGAMA: Action-based galaxy modelling architecture","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.GA","authors_text":"Eugene Vasiliev","submitted_at":"2018-02-22T18:52:02Z","abstract_excerpt":"Agama is a publicly available software library for a broad range of applications in the field of stellar dynamics. It provides methods for computing the gravitational potential of arbitrary analytic density profiles or N-body models; orbit integration and analysis; transformations between position/velocity and action/angle variables; distribution functions expressed in terms of actions and their moments; iterative construction of self-consistent multicomponent galaxy models. Applications include the inference about the structure of Milky Way or other galaxies from observations of stellar kinem"},"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":"1802.08239","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.GA","submitted_at":"2018-02-22T18:52:02Z","cross_cats_sorted":[],"title_canon_sha256":"49bbf69f2876e9701d1390bdf81799d87e25d98be1e23eb3227a47b8cd7db40f","abstract_canon_sha256":"8d9155f1a6da06fd740246faaebaac5f4bb8e6d45747535860f61534c9778dcb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:01:01.907340Z","signature_b64":"mJ5YJ0ldqzTGeCgsLVVhhrJ9i6PgzLKgBWym6DO8eLddjuXoDM+4lAef0Vy8Zt9gbaLSNbTPWf9NeLoITwjeCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bc7af51ecdb4abc14a0e85df7a17ade86fc19197eb37e1aef1b746db901e8fc7","last_reissued_at":"2026-05-18T00:01:01.906874Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:01:01.906874Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"AGAMA: Action-based galaxy modelling architecture","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.GA","authors_text":"Eugene Vasiliev","submitted_at":"2018-02-22T18:52:02Z","abstract_excerpt":"Agama is a publicly available software library for a broad range of applications in the field of stellar dynamics. It provides methods for computing the gravitational potential of arbitrary analytic density profiles or N-body models; orbit integration and analysis; transformations between position/velocity and action/angle variables; distribution functions expressed in terms of actions and their moments; iterative construction of self-consistent multicomponent galaxy models. Applications include the inference about the structure of Milky Way or other galaxies from observations of stellar kinem"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.08239","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":""},"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":"1802.08239","created_at":"2026-05-18T00:01:01.906949+00:00"},{"alias_kind":"arxiv_version","alias_value":"1802.08239v2","created_at":"2026-05-18T00:01:01.906949+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.08239","created_at":"2026-05-18T00:01:01.906949+00:00"},{"alias_kind":"pith_short_12","alias_value":"XR5PKHWNWSV4","created_at":"2026-05-18T12:33:01.666342+00:00"},{"alias_kind":"pith_short_16","alias_value":"XR5PKHWNWSV4CSQO","created_at":"2026-05-18T12:33:01.666342+00:00"},{"alias_kind":"pith_short_8","alias_value":"XR5PKHWN","created_at":"2026-05-18T12:33:01.666342+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2605.14308","citing_title":"Reconstructing the Stripping History of the Sagittarius Stream with Neural Networks","ref_index":54,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/XR5PKHWNWSV4CSQOQXPXUF5N5B","json":"https://pith.science/pith/XR5PKHWNWSV4CSQOQXPXUF5N5B.json","graph_json":"https://pith.science/api/pith-number/XR5PKHWNWSV4CSQOQXPXUF5N5B/graph.json","events_json":"https://pith.science/api/pith-number/XR5PKHWNWSV4CSQOQXPXUF5N5B/events.json","paper":"https://pith.science/paper/XR5PKHWN"},"agent_actions":{"view_html":"https://pith.science/pith/XR5PKHWNWSV4CSQOQXPXUF5N5B","download_json":"https://pith.science/pith/XR5PKHWNWSV4CSQOQXPXUF5N5B.json","view_paper":"https://pith.science/paper/XR5PKHWN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1802.08239&json=true","fetch_graph":"https://pith.science/api/pith-number/XR5PKHWNWSV4CSQOQXPXUF5N5B/graph.json","fetch_events":"https://pith.science/api/pith-number/XR5PKHWNWSV4CSQOQXPXUF5N5B/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XR5PKHWNWSV4CSQOQXPXUF5N5B/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XR5PKHWNWSV4CSQOQXPXUF5N5B/action/storage_attestation","attest_author":"https://pith.science/pith/XR5PKHWNWSV4CSQOQXPXUF5N5B/action/author_attestation","sign_citation":"https://pith.science/pith/XR5PKHWNWSV4CSQOQXPXUF5N5B/action/citation_signature","submit_replication":"https://pith.science/pith/XR5PKHWNWSV4CSQOQXPXUF5N5B/action/replication_record"}},"created_at":"2026-05-18T00:01:01.906949+00:00","updated_at":"2026-05-18T00:01:01.906949+00:00"}