{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:4C2F55QZNIRZZPLTI4NOXMPPHK","short_pith_number":"pith:4C2F55QZ","schema_version":"1.0","canonical_sha256":"e0b45ef6196a239cbd73471aebb1ef3a8863f777c872b80ea1c1b763470f8667","source":{"kind":"arxiv","id":"2501.15222","version":1},"attestation_state":"computed","paper":{"title":"Explainable autoencoder for neutron star dense matter parameter estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.HE","astro-ph.IM","nucl-th"],"primary_cat":"physics.comp-ph","authors_text":"Francesco Di Clemente, Matteo Scialpi, Micha{\\l} Bejger","submitted_at":"2025-01-25T13:59:58Z","abstract_excerpt":"We present a physics-informed autoencoder designed to encode the equation of state of neutron stars into an interpretable latent space. In particular the input will be encoded in the mass, radius, and tidal deformability values of a neutron star. Unlike traditional black-box models, our approach incorporates additional loss functions to enforce explainability in the encoded representations. This method enhances the transparency of machine learning models in physics, providing a robust proof-of-concept tool to study compact stars data. Our results demonstrate that the proposed autoencoder not o"},"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":"2501.15222","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2025-01-25T13:59:58Z","cross_cats_sorted":["astro-ph.HE","astro-ph.IM","nucl-th"],"title_canon_sha256":"b14b63e5e0559c3a32d379dc277dce5f3d0d9c788811375c20bdb052b31bca3a","abstract_canon_sha256":"ae5f3eb2b392fc6d8cf42a19d1a4f8adb0575b36de645e87d0b263201d101152"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:10:04.281752Z","signature_b64":"JPMCYnHUSa6rhmVC028LpRD7lnwrR2ZpKyRazkg7pzNVRNTw2qdoYzOHMNoq11WAemzYmWMf8EnzSWqpWKlxAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e0b45ef6196a239cbd73471aebb1ef3a8863f777c872b80ea1c1b763470f8667","last_reissued_at":"2026-07-05T11:10:04.281239Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:10:04.281239Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Explainable autoencoder for neutron star dense matter parameter estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.HE","astro-ph.IM","nucl-th"],"primary_cat":"physics.comp-ph","authors_text":"Francesco Di Clemente, Matteo Scialpi, Micha{\\l} Bejger","submitted_at":"2025-01-25T13:59:58Z","abstract_excerpt":"We present a physics-informed autoencoder designed to encode the equation of state of neutron stars into an interpretable latent space. In particular the input will be encoded in the mass, radius, and tidal deformability values of a neutron star. Unlike traditional black-box models, our approach incorporates additional loss functions to enforce explainability in the encoded representations. This method enhances the transparency of machine learning models in physics, providing a robust proof-of-concept tool to study compact stars data. Our results demonstrate that the proposed autoencoder not o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.15222","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/2501.15222/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":"2501.15222","created_at":"2026-07-05T11:10:04.281300+00:00"},{"alias_kind":"arxiv_version","alias_value":"2501.15222v1","created_at":"2026-07-05T11:10:04.281300+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.15222","created_at":"2026-07-05T11:10:04.281300+00:00"},{"alias_kind":"pith_short_12","alias_value":"4C2F55QZNIRZ","created_at":"2026-07-05T11:10:04.281300+00:00"},{"alias_kind":"pith_short_16","alias_value":"4C2F55QZNIRZZPLT","created_at":"2026-07-05T11:10:04.281300+00:00"},{"alias_kind":"pith_short_8","alias_value":"4C2F55QZ","created_at":"2026-07-05T11:10:04.281300+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2506.10065","citing_title":"Locating the QCD critical point with neutron-star observations","ref_index":28,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/4C2F55QZNIRZZPLTI4NOXMPPHK","json":"https://pith.science/pith/4C2F55QZNIRZZPLTI4NOXMPPHK.json","graph_json":"https://pith.science/api/pith-number/4C2F55QZNIRZZPLTI4NOXMPPHK/graph.json","events_json":"https://pith.science/api/pith-number/4C2F55QZNIRZZPLTI4NOXMPPHK/events.json","paper":"https://pith.science/paper/4C2F55QZ"},"agent_actions":{"view_html":"https://pith.science/pith/4C2F55QZNIRZZPLTI4NOXMPPHK","download_json":"https://pith.science/pith/4C2F55QZNIRZZPLTI4NOXMPPHK.json","view_paper":"https://pith.science/paper/4C2F55QZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2501.15222&json=true","fetch_graph":"https://pith.science/api/pith-number/4C2F55QZNIRZZPLTI4NOXMPPHK/graph.json","fetch_events":"https://pith.science/api/pith-number/4C2F55QZNIRZZPLTI4NOXMPPHK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4C2F55QZNIRZZPLTI4NOXMPPHK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4C2F55QZNIRZZPLTI4NOXMPPHK/action/storage_attestation","attest_author":"https://pith.science/pith/4C2F55QZNIRZZPLTI4NOXMPPHK/action/author_attestation","sign_citation":"https://pith.science/pith/4C2F55QZNIRZZPLTI4NOXMPPHK/action/citation_signature","submit_replication":"https://pith.science/pith/4C2F55QZNIRZZPLTI4NOXMPPHK/action/replication_record"}},"created_at":"2026-07-05T11:10:04.281300+00:00","updated_at":"2026-07-05T11:10:04.281300+00:00"}