{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:ZITDKSZ36GWDYGH5SW3K74IJX2","short_pith_number":"pith:ZITDKSZ3","schema_version":"1.0","canonical_sha256":"ca26354b3bf1ac3c18fd95b6aff109bea4d1973a5b170ef28bd44b174b860c2a","source":{"kind":"arxiv","id":"2606.28287","version":1},"attestation_state":"computed","paper":{"title":"Bridging Ab Initio Symmetries and Global Nuclear Masses with Interpretable Neural Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"nucl-th","authors_text":"Daniel Langr, David Kekejian, Evander Espinoza, Feng Pan, Jerry P. Draayer, Michela Negro, Phong Dang, Tomas Dytrych, Xiaoliang Wan","submitted_at":"2026-06-26T17:31:34Z","abstract_excerpt":"Ab initio modeling has established Wigner's SU(4) and Elliott's SU(3) as dominant symmetries of the nuclear force in light and intermediate-mass nuclei. We ask whether they also govern nuclear binding across the entire chart. Our aim is not high-precision prediction but physical insight, through interpretable, symmetry-based models. From the SU(3) and SU(4) Casimir operators we construct three neural-network (NN) mass models: Feature-Informed NN (FINN) for point predictions, Gaussian-Informed NN (GINN) adding uncertainty quantification, and Wigner-Informed NN (WINN) -- a mass formula using the"},"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":"2606.28287","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"nucl-th","submitted_at":"2026-06-26T17:31:34Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2ce770b70b883f908bc2017c69b37fc45a980e1d198b4cca37df60a6599ead21","abstract_canon_sha256":"fdbc7e21ee572fbf282f36ce05a0bb726d0a60ca3c55873ea9f13d33acf6c853"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-29T01:15:12.110310Z","signature_b64":"axs+9Eow+QFg7OgEol3JIV76nxoL3Sukg+HH41MSQBsaDsJdwuoyJP38Oz48I+088L8k2NpwyD1IgEOfTuJ5Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ca26354b3bf1ac3c18fd95b6aff109bea4d1973a5b170ef28bd44b174b860c2a","last_reissued_at":"2026-06-29T01:15:12.109909Z","signature_status":"signed_v1","first_computed_at":"2026-06-29T01:15:12.109909Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bridging Ab Initio Symmetries and Global Nuclear Masses with Interpretable Neural Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"nucl-th","authors_text":"Daniel Langr, David Kekejian, Evander Espinoza, Feng Pan, Jerry P. Draayer, Michela Negro, Phong Dang, Tomas Dytrych, Xiaoliang Wan","submitted_at":"2026-06-26T17:31:34Z","abstract_excerpt":"Ab initio modeling has established Wigner's SU(4) and Elliott's SU(3) as dominant symmetries of the nuclear force in light and intermediate-mass nuclei. We ask whether they also govern nuclear binding across the entire chart. Our aim is not high-precision prediction but physical insight, through interpretable, symmetry-based models. From the SU(3) and SU(4) Casimir operators we construct three neural-network (NN) mass models: Feature-Informed NN (FINN) for point predictions, Gaussian-Informed NN (GINN) adding uncertainty quantification, and Wigner-Informed NN (WINN) -- a mass formula using the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.28287","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/2606.28287/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":"2606.28287","created_at":"2026-06-29T01:15:12.109970+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.28287v1","created_at":"2026-06-29T01:15:12.109970+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.28287","created_at":"2026-06-29T01:15:12.109970+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZITDKSZ36GWD","created_at":"2026-06-29T01:15:12.109970+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZITDKSZ36GWDYGH5","created_at":"2026-06-29T01:15:12.109970+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZITDKSZ3","created_at":"2026-06-29T01:15:12.109970+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/ZITDKSZ36GWDYGH5SW3K74IJX2","json":"https://pith.science/pith/ZITDKSZ36GWDYGH5SW3K74IJX2.json","graph_json":"https://pith.science/api/pith-number/ZITDKSZ36GWDYGH5SW3K74IJX2/graph.json","events_json":"https://pith.science/api/pith-number/ZITDKSZ36GWDYGH5SW3K74IJX2/events.json","paper":"https://pith.science/paper/ZITDKSZ3"},"agent_actions":{"view_html":"https://pith.science/pith/ZITDKSZ36GWDYGH5SW3K74IJX2","download_json":"https://pith.science/pith/ZITDKSZ36GWDYGH5SW3K74IJX2.json","view_paper":"https://pith.science/paper/ZITDKSZ3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.28287&json=true","fetch_graph":"https://pith.science/api/pith-number/ZITDKSZ36GWDYGH5SW3K74IJX2/graph.json","fetch_events":"https://pith.science/api/pith-number/ZITDKSZ36GWDYGH5SW3K74IJX2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZITDKSZ36GWDYGH5SW3K74IJX2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZITDKSZ36GWDYGH5SW3K74IJX2/action/storage_attestation","attest_author":"https://pith.science/pith/ZITDKSZ36GWDYGH5SW3K74IJX2/action/author_attestation","sign_citation":"https://pith.science/pith/ZITDKSZ36GWDYGH5SW3K74IJX2/action/citation_signature","submit_replication":"https://pith.science/pith/ZITDKSZ36GWDYGH5SW3K74IJX2/action/replication_record"}},"created_at":"2026-06-29T01:15:12.109970+00:00","updated_at":"2026-06-29T01:15:12.109970+00:00"}