{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2002:FBTMJ7EF2XQ5PBKMJNCLWUMWIG","short_pith_number":"pith:FBTMJ7EF","schema_version":"1.0","canonical_sha256":"2866c4fc85d5e1d7854c4b44bb51964183d2b8dc5e8cda3de72d963e70be57b7","source":{"kind":"arxiv","id":"cond-mat/0203467","version":1},"attestation_state":"computed","paper":{"title":"Guessing probability distributions from small samples","license":"","headline":"","cross_cats":[],"primary_cat":"cond-mat.stat-mech","authors_text":"Helge Rose, Thorsten Poeschel, Werner Ebeling","submitted_at":"2002-03-22T14:43:57Z","abstract_excerpt":"We propose a new method for the calculation of the statistical properties, as e.g. the entropy, of unknown generators of symbolic sequences. The probability distribution p(k) of the elements k of a population can be approximated by the frequencies f(k) of a sample provided the sample is long enough so that each element k occurs many times. Our method yields an approximation if this precondition does not hold. For a given f(k) we recalculate the Zipf-ordered probability distribution by optimization of the parameters of a guessed distribution. We demonstrate that our method yields reliable resul"},"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":"cond-mat/0203467","kind":"arxiv","version":1},"metadata":{"license":"","primary_cat":"cond-mat.stat-mech","submitted_at":"2002-03-22T14:43:57Z","cross_cats_sorted":[],"title_canon_sha256":"2f0fe88776be3a445f8baf14f3424f81238456c173278230a12ba13354159686","abstract_canon_sha256":"cafb8cb8763e05a47fd7a438d86b88f56faa9845a53561828b269a90ccb267e6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:40:03.782275Z","signature_b64":"6syxCSQNzWBtg7gm2R5ZUDqrGEAwlGz8Y/qDjGiMhv2Oc2gJ1BbSq/4sTJ3FmW7TERXy10PhagGbG0B2wl0RBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2866c4fc85d5e1d7854c4b44bb51964183d2b8dc5e8cda3de72d963e70be57b7","last_reissued_at":"2026-05-18T01:40:03.781723Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:40:03.781723Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Guessing probability distributions from small samples","license":"","headline":"","cross_cats":[],"primary_cat":"cond-mat.stat-mech","authors_text":"Helge Rose, Thorsten Poeschel, Werner Ebeling","submitted_at":"2002-03-22T14:43:57Z","abstract_excerpt":"We propose a new method for the calculation of the statistical properties, as e.g. the entropy, of unknown generators of symbolic sequences. The probability distribution p(k) of the elements k of a population can be approximated by the frequencies f(k) of a sample provided the sample is long enough so that each element k occurs many times. Our method yields an approximation if this precondition does not hold. For a given f(k) we recalculate the Zipf-ordered probability distribution by optimization of the parameters of a guessed distribution. We demonstrate that our method yields reliable resul"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"cond-mat/0203467","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":"cond-mat/0203467","created_at":"2026-05-18T01:40:03.781821+00:00"},{"alias_kind":"arxiv_version","alias_value":"cond-mat/0203467v1","created_at":"2026-05-18T01:40:03.781821+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.cond-mat/0203467","created_at":"2026-05-18T01:40:03.781821+00:00"},{"alias_kind":"pith_short_12","alias_value":"FBTMJ7EF2XQ5","created_at":"2026-05-18T12:25:50.845339+00:00"},{"alias_kind":"pith_short_16","alias_value":"FBTMJ7EF2XQ5PBKM","created_at":"2026-05-18T12:25:50.845339+00:00"},{"alias_kind":"pith_short_8","alias_value":"FBTMJ7EF","created_at":"2026-05-18T12:25:50.845339+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/FBTMJ7EF2XQ5PBKMJNCLWUMWIG","json":"https://pith.science/pith/FBTMJ7EF2XQ5PBKMJNCLWUMWIG.json","graph_json":"https://pith.science/api/pith-number/FBTMJ7EF2XQ5PBKMJNCLWUMWIG/graph.json","events_json":"https://pith.science/api/pith-number/FBTMJ7EF2XQ5PBKMJNCLWUMWIG/events.json","paper":"https://pith.science/paper/FBTMJ7EF"},"agent_actions":{"view_html":"https://pith.science/pith/FBTMJ7EF2XQ5PBKMJNCLWUMWIG","download_json":"https://pith.science/pith/FBTMJ7EF2XQ5PBKMJNCLWUMWIG.json","view_paper":"https://pith.science/paper/FBTMJ7EF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=cond-mat/0203467&json=true","fetch_graph":"https://pith.science/api/pith-number/FBTMJ7EF2XQ5PBKMJNCLWUMWIG/graph.json","fetch_events":"https://pith.science/api/pith-number/FBTMJ7EF2XQ5PBKMJNCLWUMWIG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FBTMJ7EF2XQ5PBKMJNCLWUMWIG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FBTMJ7EF2XQ5PBKMJNCLWUMWIG/action/storage_attestation","attest_author":"https://pith.science/pith/FBTMJ7EF2XQ5PBKMJNCLWUMWIG/action/author_attestation","sign_citation":"https://pith.science/pith/FBTMJ7EF2XQ5PBKMJNCLWUMWIG/action/citation_signature","submit_replication":"https://pith.science/pith/FBTMJ7EF2XQ5PBKMJNCLWUMWIG/action/replication_record"}},"created_at":"2026-05-18T01:40:03.781821+00:00","updated_at":"2026-05-18T01:40:03.781821+00:00"}