{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:ZWCFPAU63VXWVJD3JNYEW6E4CA","short_pith_number":"pith:ZWCFPAU6","schema_version":"1.0","canonical_sha256":"cd8457829edd6f6aa47b4b704b789c1022b1aef9f27a9ef8fa4503e82cf861b5","source":{"kind":"arxiv","id":"1311.5706","version":1},"attestation_state":"computed","paper":{"title":"Use of Instrumental Neutron Activation Analysis to investigate the distribution of trace elements among subsamples of solid materials","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.ins-det"],"primary_cat":"physics.chem-ph","authors_text":"Giancarlo DAgostino, Heinrich Kipphardt, Laura Giordani, Luigi Bergamaschi, Massimo Oddone, Silke Richter","submitted_at":"2013-11-22T10:40:51Z","abstract_excerpt":"The results of analytical measurements performed with solid-sampling techniques are affected by the distribution of the analytes within the matrix. The effect becomes significant in case of determination of trace elements in small subsamples. In this framework we propose a measurement model based on Instrumental Neutron Activation Analysis to determine the relative variability of the amount of an analyte among subsamples of a material. The measurement uncertainty is evaluated and includes the counting statistics, the full-energy gamma peak efficiency and the spatial gradient of the neutron flu"},"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":"1311.5706","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.chem-ph","submitted_at":"2013-11-22T10:40:51Z","cross_cats_sorted":["physics.ins-det"],"title_canon_sha256":"6533b58835643b43a782d169d33084756807a9516aa712a3decd1cd72b7e1127","abstract_canon_sha256":"81a4ed78e387cdc2067d5712ee374023a4eb602679d3dad7548b255eb15fa1e5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:01:35.149593Z","signature_b64":"rysrhKF6rxSBvNYcxdckdt5C0ENXL4Jh/+5nLeECWPJSYowjWv+D/dtMk4wCRRN9B4fgBYfp0slNye6BJJ6ABA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cd8457829edd6f6aa47b4b704b789c1022b1aef9f27a9ef8fa4503e82cf861b5","last_reissued_at":"2026-05-18T03:01:35.148822Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:01:35.148822Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Use of Instrumental Neutron Activation Analysis to investigate the distribution of trace elements among subsamples of solid materials","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.ins-det"],"primary_cat":"physics.chem-ph","authors_text":"Giancarlo DAgostino, Heinrich Kipphardt, Laura Giordani, Luigi Bergamaschi, Massimo Oddone, Silke Richter","submitted_at":"2013-11-22T10:40:51Z","abstract_excerpt":"The results of analytical measurements performed with solid-sampling techniques are affected by the distribution of the analytes within the matrix. The effect becomes significant in case of determination of trace elements in small subsamples. In this framework we propose a measurement model based on Instrumental Neutron Activation Analysis to determine the relative variability of the amount of an analyte among subsamples of a material. The measurement uncertainty is evaluated and includes the counting statistics, the full-energy gamma peak efficiency and the spatial gradient of the neutron flu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1311.5706","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":""},"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":"1311.5706","created_at":"2026-05-18T03:01:35.148945+00:00"},{"alias_kind":"arxiv_version","alias_value":"1311.5706v1","created_at":"2026-05-18T03:01:35.148945+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1311.5706","created_at":"2026-05-18T03:01:35.148945+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZWCFPAU63VXW","created_at":"2026-05-18T12:28:09.283467+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZWCFPAU63VXWVJD3","created_at":"2026-05-18T12:28:09.283467+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZWCFPAU6","created_at":"2026-05-18T12:28:09.283467+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/ZWCFPAU63VXWVJD3JNYEW6E4CA","json":"https://pith.science/pith/ZWCFPAU63VXWVJD3JNYEW6E4CA.json","graph_json":"https://pith.science/api/pith-number/ZWCFPAU63VXWVJD3JNYEW6E4CA/graph.json","events_json":"https://pith.science/api/pith-number/ZWCFPAU63VXWVJD3JNYEW6E4CA/events.json","paper":"https://pith.science/paper/ZWCFPAU6"},"agent_actions":{"view_html":"https://pith.science/pith/ZWCFPAU63VXWVJD3JNYEW6E4CA","download_json":"https://pith.science/pith/ZWCFPAU63VXWVJD3JNYEW6E4CA.json","view_paper":"https://pith.science/paper/ZWCFPAU6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1311.5706&json=true","fetch_graph":"https://pith.science/api/pith-number/ZWCFPAU63VXWVJD3JNYEW6E4CA/graph.json","fetch_events":"https://pith.science/api/pith-number/ZWCFPAU63VXWVJD3JNYEW6E4CA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZWCFPAU63VXWVJD3JNYEW6E4CA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZWCFPAU63VXWVJD3JNYEW6E4CA/action/storage_attestation","attest_author":"https://pith.science/pith/ZWCFPAU63VXWVJD3JNYEW6E4CA/action/author_attestation","sign_citation":"https://pith.science/pith/ZWCFPAU63VXWVJD3JNYEW6E4CA/action/citation_signature","submit_replication":"https://pith.science/pith/ZWCFPAU63VXWVJD3JNYEW6E4CA/action/replication_record"}},"created_at":"2026-05-18T03:01:35.148945+00:00","updated_at":"2026-05-18T03:01:35.148945+00:00"}