{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:DNKU25JNHC45FCXKS5SJ2CVI5V","short_pith_number":"pith:DNKU25JN","canonical_record":{"source":{"id":"1801.00371","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.OT","submitted_at":"2017-12-31T23:00:24Z","cross_cats_sorted":[],"title_canon_sha256":"bb85a8a3fa3783a4ce7687c964271fe881f37f1d003d0139600133cf373de336","abstract_canon_sha256":"b058b2644a52f5a64bce1719bd860053ce116743db9adcbe714479165c8a07ce"},"schema_version":"1.0"},"canonical_sha256":"1b554d752d38b9d28aea97649d0aa8ed78bf691c3762d0e6dd0070c23a105874","source":{"kind":"arxiv","id":"1801.00371","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.00371","created_at":"2026-05-18T00:03:41Z"},{"alias_kind":"arxiv_version","alias_value":"1801.00371v2","created_at":"2026-05-18T00:03:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.00371","created_at":"2026-05-18T00:03:41Z"},{"alias_kind":"pith_short_12","alias_value":"DNKU25JNHC45","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"DNKU25JNHC45FCXK","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"DNKU25JN","created_at":"2026-05-18T12:31:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:DNKU25JNHC45FCXKS5SJ2CVI5V","target":"record","payload":{"canonical_record":{"source":{"id":"1801.00371","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.OT","submitted_at":"2017-12-31T23:00:24Z","cross_cats_sorted":[],"title_canon_sha256":"bb85a8a3fa3783a4ce7687c964271fe881f37f1d003d0139600133cf373de336","abstract_canon_sha256":"b058b2644a52f5a64bce1719bd860053ce116743db9adcbe714479165c8a07ce"},"schema_version":"1.0"},"canonical_sha256":"1b554d752d38b9d28aea97649d0aa8ed78bf691c3762d0e6dd0070c23a105874","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:03:41.585009Z","signature_b64":"jsT35vQHjR7oxmrxOkEllQl2z/op5wrKsSoMDXgehA0luxjdRonvOFpb5DlI3s6tAHvvxx1W4ajHs2daC9YJDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1b554d752d38b9d28aea97649d0aa8ed78bf691c3762d0e6dd0070c23a105874","last_reissued_at":"2026-05-18T00:03:41.584623Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:03:41.584623Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1801.00371","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:03:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oW3ijsxAHeF5I8rrDv8xi26S35NmhN/ksSxGya7VQpdlq2otPIwPIfeacMNnFBdU+PeCkwCTptz8b/AsfdQRBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T22:34:50.618749Z"},"content_sha256":"540331ec464013eb71b93cce7f8808fd0cb1c8609c6d400482ce4d637114d72e","schema_version":"1.0","event_id":"sha256:540331ec464013eb71b93cce7f8808fd0cb1c8609c6d400482ce4d637114d72e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:DNKU25JNHC45FCXKS5SJ2CVI5V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Data Science vs. Statistics: Two Cultures?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.OT","authors_text":"Iain Carmichael, J.S. Marron","submitted_at":"2017-12-31T23:00:24Z","abstract_excerpt":"Data science is the business of learning from data, which is traditionally the business of statistics. Data science, however, is often understood as a broader, task-driven and computationally-oriented version of statistics. Both the term data science and the broader idea it conveys have origins in statistics and are a reaction to a narrower view of data analysis. Expanding upon the views of a number of statisticians, this paper encourages a big-tent view of data analysis. We examine how evolving approaches to modern data analysis relate to the existing discipline of statistics (e.g. explorator"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.00371","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:03:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UjYnKKOHqQ6XbY7e6t3JrWvaIAAt4PnPD0Igu0sl45ENgG/Tv+VIrW6oBi3ODihfraadBtYdbyy8AHQCmwo9BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T22:34:50.619440Z"},"content_sha256":"01e75801ba578e5d1a32ddfb4a0513204395a50bbac96914df69734856bb0513","schema_version":"1.0","event_id":"sha256:01e75801ba578e5d1a32ddfb4a0513204395a50bbac96914df69734856bb0513"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DNKU25JNHC45FCXKS5SJ2CVI5V/bundle.json","state_url":"https://pith.science/pith/DNKU25JNHC45FCXKS5SJ2CVI5V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DNKU25JNHC45FCXKS5SJ2CVI5V/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-30T22:34:50Z","links":{"resolver":"https://pith.science/pith/DNKU25JNHC45FCXKS5SJ2CVI5V","bundle":"https://pith.science/pith/DNKU25JNHC45FCXKS5SJ2CVI5V/bundle.json","state":"https://pith.science/pith/DNKU25JNHC45FCXKS5SJ2CVI5V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DNKU25JNHC45FCXKS5SJ2CVI5V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:DNKU25JNHC45FCXKS5SJ2CVI5V","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"b058b2644a52f5a64bce1719bd860053ce116743db9adcbe714479165c8a07ce","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.OT","submitted_at":"2017-12-31T23:00:24Z","title_canon_sha256":"bb85a8a3fa3783a4ce7687c964271fe881f37f1d003d0139600133cf373de336"},"schema_version":"1.0","source":{"id":"1801.00371","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.00371","created_at":"2026-05-18T00:03:41Z"},{"alias_kind":"arxiv_version","alias_value":"1801.00371v2","created_at":"2026-05-18T00:03:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.00371","created_at":"2026-05-18T00:03:41Z"},{"alias_kind":"pith_short_12","alias_value":"DNKU25JNHC45","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"DNKU25JNHC45FCXK","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"DNKU25JN","created_at":"2026-05-18T12:31:12Z"}],"graph_snapshots":[{"event_id":"sha256:01e75801ba578e5d1a32ddfb4a0513204395a50bbac96914df69734856bb0513","target":"graph","created_at":"2026-05-18T00:03:41Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Data science is the business of learning from data, which is traditionally the business of statistics. Data science, however, is often understood as a broader, task-driven and computationally-oriented version of statistics. Both the term data science and the broader idea it conveys have origins in statistics and are a reaction to a narrower view of data analysis. Expanding upon the views of a number of statisticians, this paper encourages a big-tent view of data analysis. We examine how evolving approaches to modern data analysis relate to the existing discipline of statistics (e.g. explorator","authors_text":"Iain Carmichael, J.S. Marron","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.OT","submitted_at":"2017-12-31T23:00:24Z","title":"Data Science vs. Statistics: Two Cultures?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.00371","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:540331ec464013eb71b93cce7f8808fd0cb1c8609c6d400482ce4d637114d72e","target":"record","created_at":"2026-05-18T00:03:41Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"b058b2644a52f5a64bce1719bd860053ce116743db9adcbe714479165c8a07ce","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.OT","submitted_at":"2017-12-31T23:00:24Z","title_canon_sha256":"bb85a8a3fa3783a4ce7687c964271fe881f37f1d003d0139600133cf373de336"},"schema_version":"1.0","source":{"id":"1801.00371","kind":"arxiv","version":2}},"canonical_sha256":"1b554d752d38b9d28aea97649d0aa8ed78bf691c3762d0e6dd0070c23a105874","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1b554d752d38b9d28aea97649d0aa8ed78bf691c3762d0e6dd0070c23a105874","first_computed_at":"2026-05-18T00:03:41.584623Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:03:41.584623Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jsT35vQHjR7oxmrxOkEllQl2z/op5wrKsSoMDXgehA0luxjdRonvOFpb5DlI3s6tAHvvxx1W4ajHs2daC9YJDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:03:41.585009Z","signed_message":"canonical_sha256_bytes"},"source_id":"1801.00371","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:540331ec464013eb71b93cce7f8808fd0cb1c8609c6d400482ce4d637114d72e","sha256:01e75801ba578e5d1a32ddfb4a0513204395a50bbac96914df69734856bb0513"],"state_sha256":"4e4cfb4d15d8c9782e0eed60d5f32fd0a339767f025005fc1fb5d4391214e4f4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZNHzghORWKLU44u+8DCITyezz/KXtH01VGpSWg9RFLdWpLsGv1447eo+u7qS6OOBU78OyOVAHS2qGQg3IO3WBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T22:34:50.624920Z","bundle_sha256":"9b993ff536bc9e8558b1567e8b0009934f75dfacd851f311eb9413e03699efa7"}}