{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:EMNTOYVVZXQHBTRVXTPQNJPO4C","short_pith_number":"pith:EMNTOYVV","canonical_record":{"source":{"id":"1604.02492","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-04-08T21:56:24Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"6b5ebc9ea0cbe3078a210e6632518e179f8c4fa52e184ff5e95767e8af650e31","abstract_canon_sha256":"a3cb7fe915b6d73cd6048fc579dce1ae2e6b148717248451dc0998b8c61f4a20"},"schema_version":"1.0"},"canonical_sha256":"231b3762b5cde070ce35bcdf06a5eee08f700c06949f864c37b61066a358e5db","source":{"kind":"arxiv","id":"1604.02492","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.02492","created_at":"2026-05-18T00:48:17Z"},{"alias_kind":"arxiv_version","alias_value":"1604.02492v5","created_at":"2026-05-18T00:48:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.02492","created_at":"2026-05-18T00:48:17Z"},{"alias_kind":"pith_short_12","alias_value":"EMNTOYVVZXQH","created_at":"2026-05-18T12:30:12Z"},{"alias_kind":"pith_short_16","alias_value":"EMNTOYVVZXQHBTRV","created_at":"2026-05-18T12:30:12Z"},{"alias_kind":"pith_short_8","alias_value":"EMNTOYVV","created_at":"2026-05-18T12:30:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:EMNTOYVVZXQHBTRVXTPQNJPO4C","target":"record","payload":{"canonical_record":{"source":{"id":"1604.02492","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-04-08T21:56:24Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"6b5ebc9ea0cbe3078a210e6632518e179f8c4fa52e184ff5e95767e8af650e31","abstract_canon_sha256":"a3cb7fe915b6d73cd6048fc579dce1ae2e6b148717248451dc0998b8c61f4a20"},"schema_version":"1.0"},"canonical_sha256":"231b3762b5cde070ce35bcdf06a5eee08f700c06949f864c37b61066a358e5db","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:48:17.769053Z","signature_b64":"JKfydd05bSaxAH19ORhk41d4EYNhREBMw6DYDPYLL3gMGSzYJzdef5vfVCS4ZBnx4Tf1M93nEaEtnXkOKVRTBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"231b3762b5cde070ce35bcdf06a5eee08f700c06949f864c37b61066a358e5db","last_reissued_at":"2026-05-18T00:48:17.768451Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:48:17.768451Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1604.02492","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:48:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"udsvJ2eGE3FAWT6ecIl6pCFLaJsCOllcp6dvTrHk5LX3Qer4AqNi6Av7xw5cLJnX9I/4JgOJB+zmNC1ob19hAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T16:47:50.312684Z"},"content_sha256":"54a49451dbcd526fadcc83c41599bc999a2c1d237ca3f56634015a4d32a4fac8","schema_version":"1.0","event_id":"sha256:54a49451dbcd526fadcc83c41599bc999a2c1d237ca3f56634015a4d32a4fac8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:EMNTOYVVZXQHBTRVXTPQNJPO4C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Challenges in Bayesian Adaptive Data Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Sam Elder","submitted_at":"2016-04-08T21:56:24Z","abstract_excerpt":"Traditional statistical analysis requires that the analysis process and data are independent. By contrast, the new field of adaptive data analysis hopes to understand and provide algorithms and accuracy guarantees for research as it is commonly performed in practice, as an iterative process of interacting repeatedly with the same data set, such as repeated tests against a holdout set. Previous work has defined a model with a rather strong lower bound on sample complexity in terms of the number of queries, $n\\sim\\sqrt q$, arguing that adaptive data analysis is much harder than static data analy"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.02492","kind":"arxiv","version":5},"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":"2026-05-18T00:48:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F4p0s9JlLs0o5XXQ4TN4fLs0XiHK51xgAuEwxIQ1wxLYzAidmbNCYldDJk5EXspezzPvGT/UBRoOv9YUJbjDBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T16:47:50.313603Z"},"content_sha256":"d8c2ad7dc23121adbea161da43904ec6884f28641d33f4f687d280df3510ac39","schema_version":"1.0","event_id":"sha256:d8c2ad7dc23121adbea161da43904ec6884f28641d33f4f687d280df3510ac39"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EMNTOYVVZXQHBTRVXTPQNJPO4C/bundle.json","state_url":"https://pith.science/pith/EMNTOYVVZXQHBTRVXTPQNJPO4C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EMNTOYVVZXQHBTRVXTPQNJPO4C/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":"2026-08-11T16:47:50Z","links":{"resolver":"https://pith.science/pith/EMNTOYVVZXQHBTRVXTPQNJPO4C","bundle":"https://pith.science/pith/EMNTOYVVZXQHBTRVXTPQNJPO4C/bundle.json","state":"https://pith.science/pith/EMNTOYVVZXQHBTRVXTPQNJPO4C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EMNTOYVVZXQHBTRVXTPQNJPO4C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:EMNTOYVVZXQHBTRVXTPQNJPO4C","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":"a3cb7fe915b6d73cd6048fc579dce1ae2e6b148717248451dc0998b8c61f4a20","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-04-08T21:56:24Z","title_canon_sha256":"6b5ebc9ea0cbe3078a210e6632518e179f8c4fa52e184ff5e95767e8af650e31"},"schema_version":"1.0","source":{"id":"1604.02492","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.02492","created_at":"2026-05-18T00:48:17Z"},{"alias_kind":"arxiv_version","alias_value":"1604.02492v5","created_at":"2026-05-18T00:48:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.02492","created_at":"2026-05-18T00:48:17Z"},{"alias_kind":"pith_short_12","alias_value":"EMNTOYVVZXQH","created_at":"2026-05-18T12:30:12Z"},{"alias_kind":"pith_short_16","alias_value":"EMNTOYVVZXQHBTRV","created_at":"2026-05-18T12:30:12Z"},{"alias_kind":"pith_short_8","alias_value":"EMNTOYVV","created_at":"2026-05-18T12:30:12Z"}],"graph_snapshots":[{"event_id":"sha256:d8c2ad7dc23121adbea161da43904ec6884f28641d33f4f687d280df3510ac39","target":"graph","created_at":"2026-05-18T00:48:17Z","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":"Traditional statistical analysis requires that the analysis process and data are independent. By contrast, the new field of adaptive data analysis hopes to understand and provide algorithms and accuracy guarantees for research as it is commonly performed in practice, as an iterative process of interacting repeatedly with the same data set, such as repeated tests against a holdout set. Previous work has defined a model with a rather strong lower bound on sample complexity in terms of the number of queries, $n\\sim\\sqrt q$, arguing that adaptive data analysis is much harder than static data analy","authors_text":"Sam Elder","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-04-08T21:56:24Z","title":"Challenges in Bayesian Adaptive Data Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.02492","kind":"arxiv","version":5},"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":"sha256:54a49451dbcd526fadcc83c41599bc999a2c1d237ca3f56634015a4d32a4fac8","target":"record","created_at":"2026-05-18T00:48:17Z","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":"a3cb7fe915b6d73cd6048fc579dce1ae2e6b148717248451dc0998b8c61f4a20","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-04-08T21:56:24Z","title_canon_sha256":"6b5ebc9ea0cbe3078a210e6632518e179f8c4fa52e184ff5e95767e8af650e31"},"schema_version":"1.0","source":{"id":"1604.02492","kind":"arxiv","version":5}},"canonical_sha256":"231b3762b5cde070ce35bcdf06a5eee08f700c06949f864c37b61066a358e5db","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"231b3762b5cde070ce35bcdf06a5eee08f700c06949f864c37b61066a358e5db","first_computed_at":"2026-05-18T00:48:17.768451Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:48:17.768451Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JKfydd05bSaxAH19ORhk41d4EYNhREBMw6DYDPYLL3gMGSzYJzdef5vfVCS4ZBnx4Tf1M93nEaEtnXkOKVRTBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:48:17.769053Z","signed_message":"canonical_sha256_bytes"},"source_id":"1604.02492","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:54a49451dbcd526fadcc83c41599bc999a2c1d237ca3f56634015a4d32a4fac8","sha256:d8c2ad7dc23121adbea161da43904ec6884f28641d33f4f687d280df3510ac39"],"state_sha256":"e4bab4f7dc4123cbae69ace4982e7e3b319472b5cf990ca5c5a45907fc5fdd78"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gaBTVTa7FMd1lCSmsggoHAeQHXr8j1M/gHWxdVX9LNITLwsInHYGoG6WabFjPHsIjklZDkj/k2JipDw4vILwDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T16:47:50.325905Z","bundle_sha256":"a2a248e24d63f23356d7a7b3f8a0a74f15e8d3aaa7d1bcfe32854d38957cb6e7"}}