{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:KWFDORTFCDIZGVEBJYAESOOZPR","short_pith_number":"pith:KWFDORTF","canonical_record":{"source":{"id":"1707.06692","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2017-07-20T19:59:31Z","cross_cats_sorted":["stat.TH"],"title_canon_sha256":"971db7b24f9e440407ca89e3ba509bf4e86a1a74fd18e26b43008dfa91c62e7d","abstract_canon_sha256":"b90799c02939241b34239d016f690aa402acf91e2f769707c5c182ec545a64c3"},"schema_version":"1.0"},"canonical_sha256":"558a37466510d19354814e004939d97c792bc479cb78e386b0d37249fa82d6cc","source":{"kind":"arxiv","id":"1707.06692","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.06692","created_at":"2026-05-18T00:39:51Z"},{"alias_kind":"arxiv_version","alias_value":"1707.06692v1","created_at":"2026-05-18T00:39:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.06692","created_at":"2026-05-18T00:39:51Z"},{"alias_kind":"pith_short_12","alias_value":"KWFDORTFCDIZ","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_16","alias_value":"KWFDORTFCDIZGVEB","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_8","alias_value":"KWFDORTF","created_at":"2026-05-18T12:31:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:KWFDORTFCDIZGVEBJYAESOOZPR","target":"record","payload":{"canonical_record":{"source":{"id":"1707.06692","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2017-07-20T19:59:31Z","cross_cats_sorted":["stat.TH"],"title_canon_sha256":"971db7b24f9e440407ca89e3ba509bf4e86a1a74fd18e26b43008dfa91c62e7d","abstract_canon_sha256":"b90799c02939241b34239d016f690aa402acf91e2f769707c5c182ec545a64c3"},"schema_version":"1.0"},"canonical_sha256":"558a37466510d19354814e004939d97c792bc479cb78e386b0d37249fa82d6cc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:39:51.945734Z","signature_b64":"MPuGMEKFOPH56GcqHNiqNRPuZqPwBmspHUEQZnWARHth74VwqcYzbKqtWBfCxr9tUhCoPGUhk2TWl2s4lM2RCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"558a37466510d19354814e004939d97c792bc479cb78e386b0d37249fa82d6cc","last_reissued_at":"2026-05-18T00:39:51.945221Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:39:51.945221Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1707.06692","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:39:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uMpa4yPMnCucl3taZpgadCytdozYlqro0injYIvyzKCl/sZa2lTiA7OArppEg0mGGJjvYHm1WWSdpcWeBVxwBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T19:58:44.616533Z"},"content_sha256":"36d31f6f7d1f4fa89b05479e62d7b00c2fe8cc11984248eea499a6178b47844c","schema_version":"1.0","event_id":"sha256:36d31f6f7d1f4fa89b05479e62d7b00c2fe8cc11984248eea499a6178b47844c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:KWFDORTFCDIZGVEBJYAESOOZPR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Inferactive data analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.TH"],"primary_cat":"math.ST","authors_text":"Jelena Markovic, Jonathan Taylor, Lucy Xia, Nan Bi","submitted_at":"2017-07-20T19:59:31Z","abstract_excerpt":"We describe inferactive data analysis, so-named to denote an interactive approach to data analysis with an emphasis on inference after data analysis. Our approach is a compromise between Tukey's exploratory (roughly speaking \"model free\") and confirmatory data analysis (roughly speaking classical and \"model based\"), also allowing for Bayesian data analysis. We view this approach as close in spirit to current practice of applied statisticians and data scientists while allowing frequentist guarantees for results to be reported in the scientific literature, or Bayesian results where the data scie"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.06692","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:39:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JClJwbEQdHfr1t0UcnL6CaTU2r9P/WVtErtAacMrvAv8tUD6rD/F0KdKpIqP+bEei4Yq60rhVnKpQVMbEWUABg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T19:58:44.617221Z"},"content_sha256":"01aaba7a57b1ae980c8d96e0273afcc4156c4a78d9988e602ef07916b26ac4d4","schema_version":"1.0","event_id":"sha256:01aaba7a57b1ae980c8d96e0273afcc4156c4a78d9988e602ef07916b26ac4d4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KWFDORTFCDIZGVEBJYAESOOZPR/bundle.json","state_url":"https://pith.science/pith/KWFDORTFCDIZGVEBJYAESOOZPR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KWFDORTFCDIZGVEBJYAESOOZPR/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":"2026-06-05T19:58:44Z","links":{"resolver":"https://pith.science/pith/KWFDORTFCDIZGVEBJYAESOOZPR","bundle":"https://pith.science/pith/KWFDORTFCDIZGVEBJYAESOOZPR/bundle.json","state":"https://pith.science/pith/KWFDORTFCDIZGVEBJYAESOOZPR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KWFDORTFCDIZGVEBJYAESOOZPR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:KWFDORTFCDIZGVEBJYAESOOZPR","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":"b90799c02939241b34239d016f690aa402acf91e2f769707c5c182ec545a64c3","cross_cats_sorted":["stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2017-07-20T19:59:31Z","title_canon_sha256":"971db7b24f9e440407ca89e3ba509bf4e86a1a74fd18e26b43008dfa91c62e7d"},"schema_version":"1.0","source":{"id":"1707.06692","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.06692","created_at":"2026-05-18T00:39:51Z"},{"alias_kind":"arxiv_version","alias_value":"1707.06692v1","created_at":"2026-05-18T00:39:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.06692","created_at":"2026-05-18T00:39:51Z"},{"alias_kind":"pith_short_12","alias_value":"KWFDORTFCDIZ","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_16","alias_value":"KWFDORTFCDIZGVEB","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_8","alias_value":"KWFDORTF","created_at":"2026-05-18T12:31:28Z"}],"graph_snapshots":[{"event_id":"sha256:01aaba7a57b1ae980c8d96e0273afcc4156c4a78d9988e602ef07916b26ac4d4","target":"graph","created_at":"2026-05-18T00:39:51Z","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":"We describe inferactive data analysis, so-named to denote an interactive approach to data analysis with an emphasis on inference after data analysis. Our approach is a compromise between Tukey's exploratory (roughly speaking \"model free\") and confirmatory data analysis (roughly speaking classical and \"model based\"), also allowing for Bayesian data analysis. We view this approach as close in spirit to current practice of applied statisticians and data scientists while allowing frequentist guarantees for results to be reported in the scientific literature, or Bayesian results where the data scie","authors_text":"Jelena Markovic, Jonathan Taylor, Lucy Xia, Nan Bi","cross_cats":["stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2017-07-20T19:59:31Z","title":"Inferactive data analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.06692","kind":"arxiv","version":1},"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":"sha256:36d31f6f7d1f4fa89b05479e62d7b00c2fe8cc11984248eea499a6178b47844c","target":"record","created_at":"2026-05-18T00:39:51Z","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":"b90799c02939241b34239d016f690aa402acf91e2f769707c5c182ec545a64c3","cross_cats_sorted":["stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2017-07-20T19:59:31Z","title_canon_sha256":"971db7b24f9e440407ca89e3ba509bf4e86a1a74fd18e26b43008dfa91c62e7d"},"schema_version":"1.0","source":{"id":"1707.06692","kind":"arxiv","version":1}},"canonical_sha256":"558a37466510d19354814e004939d97c792bc479cb78e386b0d37249fa82d6cc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"558a37466510d19354814e004939d97c792bc479cb78e386b0d37249fa82d6cc","first_computed_at":"2026-05-18T00:39:51.945221Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:39:51.945221Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MPuGMEKFOPH56GcqHNiqNRPuZqPwBmspHUEQZnWARHth74VwqcYzbKqtWBfCxr9tUhCoPGUhk2TWl2s4lM2RCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:39:51.945734Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.06692","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:36d31f6f7d1f4fa89b05479e62d7b00c2fe8cc11984248eea499a6178b47844c","sha256:01aaba7a57b1ae980c8d96e0273afcc4156c4a78d9988e602ef07916b26ac4d4"],"state_sha256":"7f15e4a9fe709bac83d70aefcb8cb1a038b3d9fef8c0190ad77350e24d312457"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IhOkvrRpySOtWqh0MO3nK37Fd3feI9XBRavSlcK19GTIz3GjH2jFgrNGHUnNIh6J0nbjyF+QlXVwBeqz3noODQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T19:58:44.621504Z","bundle_sha256":"c397dd23cca9c149fd0d03c790d86933cef19cff51510f79a465f0225774af29"}}