{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:5JK3S63HMXFRV3KPLDT65TA5E4","short_pith_number":"pith:5JK3S63H","schema_version":"1.0","canonical_sha256":"ea55b97b6765cb1aed4f58e7eecc1d271c43a7fbe686019f74ca699e8704c021","source":{"kind":"arxiv","id":"1810.05585","version":2},"attestation_state":"computed","paper":{"title":"An introduction to Bootstrap for nuclear physics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["nucl-ex"],"primary_cat":"nucl-th","authors_text":"A. Pastore","submitted_at":"2018-10-12T15:50:56Z","abstract_excerpt":"This guide aims at providing a general introduction to bootstrap methods. By using simple examples taken from nuclear physics, I discuss how such a method can be used to quantify error bars of an estimator. I also investigate the use of bootstrap to estimate parameters of a simple liquid drop model. In particular, I investigate how the method compares with standard techniques based on likelihood estimator and how to take into account correlations to better evaluate confidence interval of parameters."},"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":"1810.05585","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nucl-th","submitted_at":"2018-10-12T15:50:56Z","cross_cats_sorted":["nucl-ex"],"title_canon_sha256":"bdca020aab8838c7b7bdc097b2b55690395d1bbb9fad9a0264c979221cb22ab2","abstract_canon_sha256":"c041eea2a18c5c380c95468cfe1d0804e81a6093cadd0b0e74b237017f522562"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:45:36.121897Z","signature_b64":"slQjSv/n7Gc29bf6/uiEI8EMYVkjAScHAfMkHxSA4itKmWge+BrtlarJfqg7IR2c1V+fiOfPYknL6Aeoy5DFDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ea55b97b6765cb1aed4f58e7eecc1d271c43a7fbe686019f74ca699e8704c021","last_reissued_at":"2026-05-17T23:45:36.121305Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:45:36.121305Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An introduction to Bootstrap for nuclear physics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["nucl-ex"],"primary_cat":"nucl-th","authors_text":"A. Pastore","submitted_at":"2018-10-12T15:50:56Z","abstract_excerpt":"This guide aims at providing a general introduction to bootstrap methods. By using simple examples taken from nuclear physics, I discuss how such a method can be used to quantify error bars of an estimator. I also investigate the use of bootstrap to estimate parameters of a simple liquid drop model. In particular, I investigate how the method compares with standard techniques based on likelihood estimator and how to take into account correlations to better evaluate confidence interval of parameters."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.05585","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":"1810.05585","created_at":"2026-05-17T23:45:36.121406+00:00"},{"alias_kind":"arxiv_version","alias_value":"1810.05585v2","created_at":"2026-05-17T23:45:36.121406+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.05585","created_at":"2026-05-17T23:45:36.121406+00:00"},{"alias_kind":"pith_short_12","alias_value":"5JK3S63HMXFR","created_at":"2026-05-18T12:32:08.215937+00:00"},{"alias_kind":"pith_short_16","alias_value":"5JK3S63HMXFRV3KP","created_at":"2026-05-18T12:32:08.215937+00:00"},{"alias_kind":"pith_short_8","alias_value":"5JK3S63H","created_at":"2026-05-18T12:32:08.215937+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/5JK3S63HMXFRV3KPLDT65TA5E4","json":"https://pith.science/pith/5JK3S63HMXFRV3KPLDT65TA5E4.json","graph_json":"https://pith.science/api/pith-number/5JK3S63HMXFRV3KPLDT65TA5E4/graph.json","events_json":"https://pith.science/api/pith-number/5JK3S63HMXFRV3KPLDT65TA5E4/events.json","paper":"https://pith.science/paper/5JK3S63H"},"agent_actions":{"view_html":"https://pith.science/pith/5JK3S63HMXFRV3KPLDT65TA5E4","download_json":"https://pith.science/pith/5JK3S63HMXFRV3KPLDT65TA5E4.json","view_paper":"https://pith.science/paper/5JK3S63H","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1810.05585&json=true","fetch_graph":"https://pith.science/api/pith-number/5JK3S63HMXFRV3KPLDT65TA5E4/graph.json","fetch_events":"https://pith.science/api/pith-number/5JK3S63HMXFRV3KPLDT65TA5E4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5JK3S63HMXFRV3KPLDT65TA5E4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5JK3S63HMXFRV3KPLDT65TA5E4/action/storage_attestation","attest_author":"https://pith.science/pith/5JK3S63HMXFRV3KPLDT65TA5E4/action/author_attestation","sign_citation":"https://pith.science/pith/5JK3S63HMXFRV3KPLDT65TA5E4/action/citation_signature","submit_replication":"https://pith.science/pith/5JK3S63HMXFRV3KPLDT65TA5E4/action/replication_record"}},"created_at":"2026-05-17T23:45:36.121406+00:00","updated_at":"2026-05-17T23:45:36.121406+00:00"}