{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:U52YWVMLDJ5SSYECMNNVWQNODQ","short_pith_number":"pith:U52YWVML","canonical_record":{"source":{"id":"2406.02628","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2024-06-04T00:06:42Z","cross_cats_sorted":["cs.CC","cs.DS","cs.LG"],"title_canon_sha256":"08b4f7f8362fc6aed43718b8de26d31ccc66934ee98a81eb9e866c203aba6461","abstract_canon_sha256":"ea9e6ec7eb5eba206bddfc4a5fb2d3a810c42635f4980b023927011b1e969b40"},"schema_version":"1.0"},"canonical_sha256":"a7758b558b1a7b296082635b5b41ae1c330c175a1274d4f670ae000d060c39e1","source":{"kind":"arxiv","id":"2406.02628","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.02628","created_at":"2026-07-05T08:27:28Z"},{"alias_kind":"arxiv_version","alias_value":"2406.02628v1","created_at":"2026-07-05T08:27:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.02628","created_at":"2026-07-05T08:27:28Z"},{"alias_kind":"pith_short_12","alias_value":"U52YWVMLDJ5S","created_at":"2026-07-05T08:27:28Z"},{"alias_kind":"pith_short_16","alias_value":"U52YWVMLDJ5SSYEC","created_at":"2026-07-05T08:27:28Z"},{"alias_kind":"pith_short_8","alias_value":"U52YWVML","created_at":"2026-07-05T08:27:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:U52YWVMLDJ5SSYECMNNVWQNODQ","target":"record","payload":{"canonical_record":{"source":{"id":"2406.02628","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2024-06-04T00:06:42Z","cross_cats_sorted":["cs.CC","cs.DS","cs.LG"],"title_canon_sha256":"08b4f7f8362fc6aed43718b8de26d31ccc66934ee98a81eb9e866c203aba6461","abstract_canon_sha256":"ea9e6ec7eb5eba206bddfc4a5fb2d3a810c42635f4980b023927011b1e969b40"},"schema_version":"1.0"},"canonical_sha256":"a7758b558b1a7b296082635b5b41ae1c330c175a1274d4f670ae000d060c39e1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:27:28.207619Z","signature_b64":"AhILAmnrt7MOfuNFSRtveYMX9+Crkk35eSuF5v/vDU4rl4pZsvLwIKALsq/Tj9bvoYWOuiu4UPzwQ1rbefyPAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a7758b558b1a7b296082635b5b41ae1c330c175a1274d4f670ae000d060c39e1","last_reissued_at":"2026-07-05T08:27:28.207200Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:27:28.207200Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.02628","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":"2026-07-05T08:27:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EnFn5Q7cENeaU/5kTsIFotJv4AjAp3myG9TJDnFmYnrPwa3J5AybxYsxBQsvHD8i81+ofE+Uv5raBSmSOEYoCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T07:29:01.294045Z"},"content_sha256":"e561b18c026eb67c73caede723a28110f9dd00035536388a433809671a708dd1","schema_version":"1.0","event_id":"sha256:e561b18c026eb67c73caede723a28110f9dd00035536388a433809671a708dd1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:U52YWVMLDJ5SSYECMNNVWQNODQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Replicability in High Dimensional Statistics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CC","cs.DS","cs.LG"],"primary_cat":"stat.ML","authors_text":"Christopher Ye, Daniel Kane, Max Hopkins, Russell Impagliazzo, Sihan Liu","submitted_at":"2024-06-04T00:06:42Z","abstract_excerpt":"The replicability crisis is a major issue across nearly all areas of empirical science, calling for the formal study of replicability in statistics. Motivated in this context, [Impagliazzo, Lei, Pitassi, and Sorrell STOC 2022] introduced the notion of replicable learning algorithms, and gave basic procedures for $1$-dimensional tasks including statistical queries. In this work, we study the computational and statistical cost of replicability for several fundamental high dimensional statistical tasks, including multi-hypothesis testing and mean estimation.\n  Our main contribution establishes a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.02628","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2406.02628/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T08:27:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"82eZCmyB4G/yBvXt39M22In0pDMZgfgZAwUAIDgYdlgi6ObdNVT16fuX8BTXCgoPemYsfug5WM1J/2QtTvN+BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T07:29:01.294450Z"},"content_sha256":"1245d24e22ecaa73fb1777184f08d405bd3caf7d5660fa510a9d8c649a636a2c","schema_version":"1.0","event_id":"sha256:1245d24e22ecaa73fb1777184f08d405bd3caf7d5660fa510a9d8c649a636a2c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U52YWVMLDJ5SSYECMNNVWQNODQ/bundle.json","state_url":"https://pith.science/pith/U52YWVMLDJ5SSYECMNNVWQNODQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U52YWVMLDJ5SSYECMNNVWQNODQ/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":"2026-07-24T07:29:01Z","links":{"resolver":"https://pith.science/pith/U52YWVMLDJ5SSYECMNNVWQNODQ","bundle":"https://pith.science/pith/U52YWVMLDJ5SSYECMNNVWQNODQ/bundle.json","state":"https://pith.science/pith/U52YWVMLDJ5SSYECMNNVWQNODQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U52YWVMLDJ5SSYECMNNVWQNODQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:U52YWVMLDJ5SSYECMNNVWQNODQ","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":"ea9e6ec7eb5eba206bddfc4a5fb2d3a810c42635f4980b023927011b1e969b40","cross_cats_sorted":["cs.CC","cs.DS","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2024-06-04T00:06:42Z","title_canon_sha256":"08b4f7f8362fc6aed43718b8de26d31ccc66934ee98a81eb9e866c203aba6461"},"schema_version":"1.0","source":{"id":"2406.02628","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.02628","created_at":"2026-07-05T08:27:28Z"},{"alias_kind":"arxiv_version","alias_value":"2406.02628v1","created_at":"2026-07-05T08:27:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.02628","created_at":"2026-07-05T08:27:28Z"},{"alias_kind":"pith_short_12","alias_value":"U52YWVMLDJ5S","created_at":"2026-07-05T08:27:28Z"},{"alias_kind":"pith_short_16","alias_value":"U52YWVMLDJ5SSYEC","created_at":"2026-07-05T08:27:28Z"},{"alias_kind":"pith_short_8","alias_value":"U52YWVML","created_at":"2026-07-05T08:27:28Z"}],"graph_snapshots":[{"event_id":"sha256:1245d24e22ecaa73fb1777184f08d405bd3caf7d5660fa510a9d8c649a636a2c","target":"graph","created_at":"2026-07-05T08:27:28Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2406.02628/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The replicability crisis is a major issue across nearly all areas of empirical science, calling for the formal study of replicability in statistics. Motivated in this context, [Impagliazzo, Lei, Pitassi, and Sorrell STOC 2022] introduced the notion of replicable learning algorithms, and gave basic procedures for $1$-dimensional tasks including statistical queries. In this work, we study the computational and statistical cost of replicability for several fundamental high dimensional statistical tasks, including multi-hypothesis testing and mean estimation.\n  Our main contribution establishes a ","authors_text":"Christopher Ye, Daniel Kane, Max Hopkins, Russell Impagliazzo, Sihan Liu","cross_cats":["cs.CC","cs.DS","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2024-06-04T00:06:42Z","title":"Replicability in High Dimensional Statistics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.02628","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:e561b18c026eb67c73caede723a28110f9dd00035536388a433809671a708dd1","target":"record","created_at":"2026-07-05T08:27:28Z","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":"ea9e6ec7eb5eba206bddfc4a5fb2d3a810c42635f4980b023927011b1e969b40","cross_cats_sorted":["cs.CC","cs.DS","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2024-06-04T00:06:42Z","title_canon_sha256":"08b4f7f8362fc6aed43718b8de26d31ccc66934ee98a81eb9e866c203aba6461"},"schema_version":"1.0","source":{"id":"2406.02628","kind":"arxiv","version":1}},"canonical_sha256":"a7758b558b1a7b296082635b5b41ae1c330c175a1274d4f670ae000d060c39e1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a7758b558b1a7b296082635b5b41ae1c330c175a1274d4f670ae000d060c39e1","first_computed_at":"2026-07-05T08:27:28.207200Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:27:28.207200Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AhILAmnrt7MOfuNFSRtveYMX9+Crkk35eSuF5v/vDU4rl4pZsvLwIKALsq/Tj9bvoYWOuiu4UPzwQ1rbefyPAg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:27:28.207619Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.02628","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e561b18c026eb67c73caede723a28110f9dd00035536388a433809671a708dd1","sha256:1245d24e22ecaa73fb1777184f08d405bd3caf7d5660fa510a9d8c649a636a2c"],"state_sha256":"429ae588cf15d8bda4d0653779fb0f2db26be426bd443e0f40655b4a7670b083"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iZxQ4wGJdcidZp8Ut3Fy5qxc4Q497ky056F4qx/cb4qmqTVVJWZHFJneZ3JrRn2iHK/E1z/beTybW6cIZkg4DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-24T07:29:01.297047Z","bundle_sha256":"35b3be6f09666807674cea4e2f5bb318403b6eb654de044c9eb4e00fd4bb33b2"}}