{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:24E6XM5BMZTIW4ECUWKSMZ3G2A","short_pith_number":"pith:24E6XM5B","schema_version":"1.0","canonical_sha256":"d709ebb3a166668b7082a595266766d02f5146f7b77696fa12b272f954b0637d","source":{"kind":"arxiv","id":"1802.04703","version":3},"attestation_state":"computed","paper":{"title":"Regularising data for practical randomness generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Antonio Ac\\'in, Boris Bourdoncle, Denis Rosset, Pei-Sheng Lin, Yeong-Cherng Liang","submitted_at":"2018-02-13T16:16:22Z","abstract_excerpt":"Non-local correlations that obey the no-signalling principle contain intrinsic randomness. In particular, for a specific Bell experiment, one can derive relations between the amount of randomness produced, as quantified by the min-entropy of the output data, and its associated violation of a Bell inequality. In practice, due to finite sampling, certifying randomness requires the development of statistical tools to lower-bound the min-entropy of the data as a function of the estimated Bell violation. The quality of such bounds relies on the choice of certificate, i.e., the Bell inequality whose"},"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":"1802.04703","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2018-02-13T16:16:22Z","cross_cats_sorted":[],"title_canon_sha256":"b845b540832554e7cc539e7b681b620eecd5ea2662c4fdcde8998a9c401cf415","abstract_canon_sha256":"45358057b85d2401035dcce6fa99683f315004916bf59bd05237926594601f69"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:47:03.531402Z","signature_b64":"VPtQiE7CJD+ZS4mGqVtof6S4p791miok6rYm1htaa+D77U7oRJZMETfAzTj48BC0NmlVo0nmIDUtxgZnPg4JDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d709ebb3a166668b7082a595266766d02f5146f7b77696fa12b272f954b0637d","last_reissued_at":"2026-05-17T23:47:03.530708Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:47:03.530708Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Regularising data for practical randomness generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Antonio Ac\\'in, Boris Bourdoncle, Denis Rosset, Pei-Sheng Lin, Yeong-Cherng Liang","submitted_at":"2018-02-13T16:16:22Z","abstract_excerpt":"Non-local correlations that obey the no-signalling principle contain intrinsic randomness. In particular, for a specific Bell experiment, one can derive relations between the amount of randomness produced, as quantified by the min-entropy of the output data, and its associated violation of a Bell inequality. In practice, due to finite sampling, certifying randomness requires the development of statistical tools to lower-bound the min-entropy of the data as a function of the estimated Bell violation. The quality of such bounds relies on the choice of certificate, i.e., the Bell inequality whose"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.04703","kind":"arxiv","version":3},"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":"1802.04703","created_at":"2026-05-17T23:47:03.530809+00:00"},{"alias_kind":"arxiv_version","alias_value":"1802.04703v3","created_at":"2026-05-17T23:47:03.530809+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.04703","created_at":"2026-05-17T23:47:03.530809+00:00"},{"alias_kind":"pith_short_12","alias_value":"24E6XM5BMZTI","created_at":"2026-05-18T12:31:59.375834+00:00"},{"alias_kind":"pith_short_16","alias_value":"24E6XM5BMZTIW4EC","created_at":"2026-05-18T12:31:59.375834+00:00"},{"alias_kind":"pith_short_8","alias_value":"24E6XM5B","created_at":"2026-05-18T12:31:59.375834+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/24E6XM5BMZTIW4ECUWKSMZ3G2A","json":"https://pith.science/pith/24E6XM5BMZTIW4ECUWKSMZ3G2A.json","graph_json":"https://pith.science/api/pith-number/24E6XM5BMZTIW4ECUWKSMZ3G2A/graph.json","events_json":"https://pith.science/api/pith-number/24E6XM5BMZTIW4ECUWKSMZ3G2A/events.json","paper":"https://pith.science/paper/24E6XM5B"},"agent_actions":{"view_html":"https://pith.science/pith/24E6XM5BMZTIW4ECUWKSMZ3G2A","download_json":"https://pith.science/pith/24E6XM5BMZTIW4ECUWKSMZ3G2A.json","view_paper":"https://pith.science/paper/24E6XM5B","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1802.04703&json=true","fetch_graph":"https://pith.science/api/pith-number/24E6XM5BMZTIW4ECUWKSMZ3G2A/graph.json","fetch_events":"https://pith.science/api/pith-number/24E6XM5BMZTIW4ECUWKSMZ3G2A/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/24E6XM5BMZTIW4ECUWKSMZ3G2A/action/timestamp_anchor","attest_storage":"https://pith.science/pith/24E6XM5BMZTIW4ECUWKSMZ3G2A/action/storage_attestation","attest_author":"https://pith.science/pith/24E6XM5BMZTIW4ECUWKSMZ3G2A/action/author_attestation","sign_citation":"https://pith.science/pith/24E6XM5BMZTIW4ECUWKSMZ3G2A/action/citation_signature","submit_replication":"https://pith.science/pith/24E6XM5BMZTIW4ECUWKSMZ3G2A/action/replication_record"}},"created_at":"2026-05-17T23:47:03.530809+00:00","updated_at":"2026-05-17T23:47:03.530809+00:00"}