{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:YYCZEJHXFU4FQ4N636WZFYSHD6","short_pith_number":"pith:YYCZEJHX","schema_version":"1.0","canonical_sha256":"c6059224f72d385871bedfad92e2471fb0f61a4b28e0048484db9d8db2fea171","source":{"kind":"arxiv","id":"1310.5718","version":2},"attestation_state":"computed","paper":{"title":"Bayesian analysis of multiple direct detection experiments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.CO"],"primary_cat":"hep-ph","authors_text":"Chiara Arina","submitted_at":"2013-10-21T20:20:48Z","abstract_excerpt":"Bayesian methods offer a coherent and efficient framework for implementing uncertainties into induction problems. In this article, we review how this approach applies to the analysis of dark matter direct detection experiments. In particular we discuss the exclusion limit of XENON100 and the debated hints of detection under the hypothesis of a WIMP signal. Within parameter inference, marginalizing consistently over uncertainties to extract robust posterior probability distributions, we find that the claimed tension between XENON100 and the other experiments can be partially alleviated in isosp"},"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":"1310.5718","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2013-10-21T20:20:48Z","cross_cats_sorted":["astro-ph.CO"],"title_canon_sha256":"09d8e60b906ad31c31c0ca5f6724360bb32d24fe13b859a6f43ffa0969160297","abstract_canon_sha256":"ad8e238e4155c91868275de583226142f35a2ad72e0eb6e9329ae33bbca18480"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:57:17.493270Z","signature_b64":"RPuzh6ooHAt8lJR511pXfUzWLUqkt5AzTLNehk8SXgrQ1tbV8K6o6g/5caEbsYveDSvpoYaD/GenX4dVM2PzDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c6059224f72d385871bedfad92e2471fb0f61a4b28e0048484db9d8db2fea171","last_reissued_at":"2026-05-18T02:57:17.492675Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:57:17.492675Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bayesian analysis of multiple direct detection experiments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.CO"],"primary_cat":"hep-ph","authors_text":"Chiara Arina","submitted_at":"2013-10-21T20:20:48Z","abstract_excerpt":"Bayesian methods offer a coherent and efficient framework for implementing uncertainties into induction problems. In this article, we review how this approach applies to the analysis of dark matter direct detection experiments. In particular we discuss the exclusion limit of XENON100 and the debated hints of detection under the hypothesis of a WIMP signal. Within parameter inference, marginalizing consistently over uncertainties to extract robust posterior probability distributions, we find that the claimed tension between XENON100 and the other experiments can be partially alleviated in isosp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1310.5718","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":"1310.5718","created_at":"2026-05-18T02:57:17.492768+00:00"},{"alias_kind":"arxiv_version","alias_value":"1310.5718v2","created_at":"2026-05-18T02:57:17.492768+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1310.5718","created_at":"2026-05-18T02:57:17.492768+00:00"},{"alias_kind":"pith_short_12","alias_value":"YYCZEJHXFU4F","created_at":"2026-05-18T12:28:09.283467+00:00"},{"alias_kind":"pith_short_16","alias_value":"YYCZEJHXFU4FQ4N6","created_at":"2026-05-18T12:28:09.283467+00:00"},{"alias_kind":"pith_short_8","alias_value":"YYCZEJHX","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/YYCZEJHXFU4FQ4N636WZFYSHD6","json":"https://pith.science/pith/YYCZEJHXFU4FQ4N636WZFYSHD6.json","graph_json":"https://pith.science/api/pith-number/YYCZEJHXFU4FQ4N636WZFYSHD6/graph.json","events_json":"https://pith.science/api/pith-number/YYCZEJHXFU4FQ4N636WZFYSHD6/events.json","paper":"https://pith.science/paper/YYCZEJHX"},"agent_actions":{"view_html":"https://pith.science/pith/YYCZEJHXFU4FQ4N636WZFYSHD6","download_json":"https://pith.science/pith/YYCZEJHXFU4FQ4N636WZFYSHD6.json","view_paper":"https://pith.science/paper/YYCZEJHX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1310.5718&json=true","fetch_graph":"https://pith.science/api/pith-number/YYCZEJHXFU4FQ4N636WZFYSHD6/graph.json","fetch_events":"https://pith.science/api/pith-number/YYCZEJHXFU4FQ4N636WZFYSHD6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YYCZEJHXFU4FQ4N636WZFYSHD6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YYCZEJHXFU4FQ4N636WZFYSHD6/action/storage_attestation","attest_author":"https://pith.science/pith/YYCZEJHXFU4FQ4N636WZFYSHD6/action/author_attestation","sign_citation":"https://pith.science/pith/YYCZEJHXFU4FQ4N636WZFYSHD6/action/citation_signature","submit_replication":"https://pith.science/pith/YYCZEJHXFU4FQ4N636WZFYSHD6/action/replication_record"}},"created_at":"2026-05-18T02:57:17.492768+00:00","updated_at":"2026-05-18T02:57:17.492768+00:00"}