{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:4L3VCNY2G2UPR77DPGWI7ZTPN3","short_pith_number":"pith:4L3VCNY2","schema_version":"1.0","canonical_sha256":"e2f751371a36a8f8ffe379ac8fe66f6ef3a7bd6d6608fc16185f97a07b3a0430","source":{"kind":"arxiv","id":"2306.16442","version":1},"attestation_state":"computed","paper":{"title":"As Simple as Possible but No Simpler: Optimizing the Performance of Neural Net Emulators for Galaxy SED Fitting","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Benjamin D. Johnson, Bingjie Wang, Elijah P. Mathews, Erica J. Nelson, Joel Leja, Joshua S. Speagle, Justus Gibson, Katherine A. Suess, Katherine E. Whitaker, Sandro Tacchella","submitted_at":"2023-06-28T18:00:01Z","abstract_excerpt":"Artificial neural network emulators have been demonstrated to be a very computationally efficient method to rapidly generate galaxy spectral energy distributions (SEDs), for parameter inference or otherwise. Using a highly flexible and fast mathematical structure, they can learn the nontrivial relationship between input galaxy parameters and output observables. However, they do so imperfectly, and small errors in flux prediction can yield large differences in recovered parameters. In this work, we investigate the relationship between an emulator's execution time, uncertainties, correlated erro"},"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":"2306.16442","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2023-06-28T18:00:01Z","cross_cats_sorted":[],"title_canon_sha256":"d5e22748f9a7034937792e634818e722feaa6de0d7ea9c7264f0673948b7e895","abstract_canon_sha256":"04b4d19a7850c5bef664d747dec78ea316e84a322abc977de94f1433e8048bf7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:26:04.873389Z","signature_b64":"CaVzAnEZPaIkL5UxFJ3F8eC9RvyOBi8RuMwOkVGKmkl9RKlYVFnsuLdgzZgBRPD+d4Qc/iAnSEi0295ga7oZBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e2f751371a36a8f8ffe379ac8fe66f6ef3a7bd6d6608fc16185f97a07b3a0430","last_reissued_at":"2026-07-05T06:26:04.872895Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:26:04.872895Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"As Simple as Possible but No Simpler: Optimizing the Performance of Neural Net Emulators for Galaxy SED Fitting","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Benjamin D. Johnson, Bingjie Wang, Elijah P. Mathews, Erica J. Nelson, Joel Leja, Joshua S. Speagle, Justus Gibson, Katherine A. Suess, Katherine E. Whitaker, Sandro Tacchella","submitted_at":"2023-06-28T18:00:01Z","abstract_excerpt":"Artificial neural network emulators have been demonstrated to be a very computationally efficient method to rapidly generate galaxy spectral energy distributions (SEDs), for parameter inference or otherwise. Using a highly flexible and fast mathematical structure, they can learn the nontrivial relationship between input galaxy parameters and output observables. However, they do so imperfectly, and small errors in flux prediction can yield large differences in recovered parameters. In this work, we investigate the relationship between an emulator's execution time, uncertainties, correlated erro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.16442","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/2306.16442/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":"2306.16442","created_at":"2026-07-05T06:26:04.872948+00:00"},{"alias_kind":"arxiv_version","alias_value":"2306.16442v1","created_at":"2026-07-05T06:26:04.872948+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.16442","created_at":"2026-07-05T06:26:04.872948+00:00"},{"alias_kind":"pith_short_12","alias_value":"4L3VCNY2G2UP","created_at":"2026-07-05T06:26:04.872948+00:00"},{"alias_kind":"pith_short_16","alias_value":"4L3VCNY2G2UPR77D","created_at":"2026-07-05T06:26:04.872948+00:00"},{"alias_kind":"pith_short_8","alias_value":"4L3VCNY2","created_at":"2026-07-05T06:26:04.872948+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/4L3VCNY2G2UPR77DPGWI7ZTPN3","json":"https://pith.science/pith/4L3VCNY2G2UPR77DPGWI7ZTPN3.json","graph_json":"https://pith.science/api/pith-number/4L3VCNY2G2UPR77DPGWI7ZTPN3/graph.json","events_json":"https://pith.science/api/pith-number/4L3VCNY2G2UPR77DPGWI7ZTPN3/events.json","paper":"https://pith.science/paper/4L3VCNY2"},"agent_actions":{"view_html":"https://pith.science/pith/4L3VCNY2G2UPR77DPGWI7ZTPN3","download_json":"https://pith.science/pith/4L3VCNY2G2UPR77DPGWI7ZTPN3.json","view_paper":"https://pith.science/paper/4L3VCNY2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2306.16442&json=true","fetch_graph":"https://pith.science/api/pith-number/4L3VCNY2G2UPR77DPGWI7ZTPN3/graph.json","fetch_events":"https://pith.science/api/pith-number/4L3VCNY2G2UPR77DPGWI7ZTPN3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4L3VCNY2G2UPR77DPGWI7ZTPN3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4L3VCNY2G2UPR77DPGWI7ZTPN3/action/storage_attestation","attest_author":"https://pith.science/pith/4L3VCNY2G2UPR77DPGWI7ZTPN3/action/author_attestation","sign_citation":"https://pith.science/pith/4L3VCNY2G2UPR77DPGWI7ZTPN3/action/citation_signature","submit_replication":"https://pith.science/pith/4L3VCNY2G2UPR77DPGWI7ZTPN3/action/replication_record"}},"created_at":"2026-07-05T06:26:04.872948+00:00","updated_at":"2026-07-05T06:26:04.872948+00:00"}