{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:HQ4FRR7KKSF4XSOULDNHE3TM35","short_pith_number":"pith:HQ4FRR7K","canonical_record":{"source":{"id":"1807.00943","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-07-03T01:16:42Z","cross_cats_sorted":[],"title_canon_sha256":"0b1c51c8974263df9722dedc9f4a1a177e184d5e653228e86024a8f0cc853be5","abstract_canon_sha256":"404ea0c1dabdd2a8fb546b3837f7ebd8ed1b23bbfaa392d9c988a85a723b3375"},"schema_version":"1.0"},"canonical_sha256":"3c3858c7ea548bcbc9d458da726e6cdf7654c22fa6517a7a27adc17f500cb164","source":{"kind":"arxiv","id":"1807.00943","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.00943","created_at":"2026-05-18T00:11:45Z"},{"alias_kind":"arxiv_version","alias_value":"1807.00943v1","created_at":"2026-05-18T00:11:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.00943","created_at":"2026-05-18T00:11:45Z"},{"alias_kind":"pith_short_12","alias_value":"HQ4FRR7KKSF4","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"HQ4FRR7KKSF4XSOU","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"HQ4FRR7K","created_at":"2026-05-18T12:32:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:HQ4FRR7KKSF4XSOULDNHE3TM35","target":"record","payload":{"canonical_record":{"source":{"id":"1807.00943","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-07-03T01:16:42Z","cross_cats_sorted":[],"title_canon_sha256":"0b1c51c8974263df9722dedc9f4a1a177e184d5e653228e86024a8f0cc853be5","abstract_canon_sha256":"404ea0c1dabdd2a8fb546b3837f7ebd8ed1b23bbfaa392d9c988a85a723b3375"},"schema_version":"1.0"},"canonical_sha256":"3c3858c7ea548bcbc9d458da726e6cdf7654c22fa6517a7a27adc17f500cb164","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:11:45.977019Z","signature_b64":"YrZN+UvajAPu+8zChooUlNJtCy/OAM1DDJqOvKGGohCLHOpWMsqDkxq0hw4TaUUumoe/45QLP07OPK9WLozuCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3c3858c7ea548bcbc9d458da726e6cdf7654c22fa6517a7a27adc17f500cb164","last_reissued_at":"2026-05-18T00:11:45.976292Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:11:45.976292Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.00943","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":"2026-05-18T00:11:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e8ZocNoOJQ09hcanQC4bZl5zMdNxA8SpKkRaBy82BNqejmbB94uZGRoCB9fq/pM57+lNBeEOZyZBs6NzQ4LMDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T13:38:28.036647Z"},"content_sha256":"059c512c0971c4ef09d20665f1aabcdf511ee9a702155763ba8b7a40f7065942","schema_version":"1.0","event_id":"sha256:059c512c0971c4ef09d20665f1aabcdf511ee9a702155763ba8b7a40f7065942"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:HQ4FRR7KKSF4XSOULDNHE3TM35","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Segmented correspondence curve regression model for quantifying reproducibility of high-throughput experiments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Feipeng Zhang, Frank Shen, Qunhua Li, Tao Yang","submitted_at":"2018-07-03T01:16:42Z","abstract_excerpt":"The reliability of a high-throughput biological experiment relies highly on the settings of the operational factors in its experimental and data-analytic procedures. Understanding how operational factors influence the reproducibility of the experimental outcome is critical for constructing robust workflows and obtaining reliable results. One challenge in this area is that candidates at different levels of significance may respond to the operational factors differently. To model this heterogeneity, we develop a novel segmented regression model, based on the rank concordance between candidates f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.00943","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":"2026-05-18T00:11:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jzDRf7PDdF7KTgjIZLWGXyeFSpZeihyNUmHItDRvy2xFmTc6loXag5J8QZV78nyrbKZnouTwoiJQW3dlKkEiDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T13:38:28.036995Z"},"content_sha256":"74189a6f38fe889ee5a7e6eb24659a3e55a7d45aa3577c0dda92e526f2b6a199","schema_version":"1.0","event_id":"sha256:74189a6f38fe889ee5a7e6eb24659a3e55a7d45aa3577c0dda92e526f2b6a199"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HQ4FRR7KKSF4XSOULDNHE3TM35/bundle.json","state_url":"https://pith.science/pith/HQ4FRR7KKSF4XSOULDNHE3TM35/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HQ4FRR7KKSF4XSOULDNHE3TM35/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":"2026-06-25T13:38:28Z","links":{"resolver":"https://pith.science/pith/HQ4FRR7KKSF4XSOULDNHE3TM35","bundle":"https://pith.science/pith/HQ4FRR7KKSF4XSOULDNHE3TM35/bundle.json","state":"https://pith.science/pith/HQ4FRR7KKSF4XSOULDNHE3TM35/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HQ4FRR7KKSF4XSOULDNHE3TM35/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:HQ4FRR7KKSF4XSOULDNHE3TM35","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":"404ea0c1dabdd2a8fb546b3837f7ebd8ed1b23bbfaa392d9c988a85a723b3375","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-07-03T01:16:42Z","title_canon_sha256":"0b1c51c8974263df9722dedc9f4a1a177e184d5e653228e86024a8f0cc853be5"},"schema_version":"1.0","source":{"id":"1807.00943","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.00943","created_at":"2026-05-18T00:11:45Z"},{"alias_kind":"arxiv_version","alias_value":"1807.00943v1","created_at":"2026-05-18T00:11:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.00943","created_at":"2026-05-18T00:11:45Z"},{"alias_kind":"pith_short_12","alias_value":"HQ4FRR7KKSF4","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"HQ4FRR7KKSF4XSOU","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"HQ4FRR7K","created_at":"2026-05-18T12:32:28Z"}],"graph_snapshots":[{"event_id":"sha256:74189a6f38fe889ee5a7e6eb24659a3e55a7d45aa3577c0dda92e526f2b6a199","target":"graph","created_at":"2026-05-18T00:11:45Z","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":"The reliability of a high-throughput biological experiment relies highly on the settings of the operational factors in its experimental and data-analytic procedures. Understanding how operational factors influence the reproducibility of the experimental outcome is critical for constructing robust workflows and obtaining reliable results. One challenge in this area is that candidates at different levels of significance may respond to the operational factors differently. To model this heterogeneity, we develop a novel segmented regression model, based on the rank concordance between candidates f","authors_text":"Feipeng Zhang, Frank Shen, Qunhua Li, Tao Yang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-07-03T01:16:42Z","title":"Segmented correspondence curve regression model for quantifying reproducibility of high-throughput experiments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.00943","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":"sha256:059c512c0971c4ef09d20665f1aabcdf511ee9a702155763ba8b7a40f7065942","target":"record","created_at":"2026-05-18T00:11:45Z","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":"404ea0c1dabdd2a8fb546b3837f7ebd8ed1b23bbfaa392d9c988a85a723b3375","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-07-03T01:16:42Z","title_canon_sha256":"0b1c51c8974263df9722dedc9f4a1a177e184d5e653228e86024a8f0cc853be5"},"schema_version":"1.0","source":{"id":"1807.00943","kind":"arxiv","version":1}},"canonical_sha256":"3c3858c7ea548bcbc9d458da726e6cdf7654c22fa6517a7a27adc17f500cb164","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3c3858c7ea548bcbc9d458da726e6cdf7654c22fa6517a7a27adc17f500cb164","first_computed_at":"2026-05-18T00:11:45.976292Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:11:45.976292Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YrZN+UvajAPu+8zChooUlNJtCy/OAM1DDJqOvKGGohCLHOpWMsqDkxq0hw4TaUUumoe/45QLP07OPK9WLozuCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:11:45.977019Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.00943","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:059c512c0971c4ef09d20665f1aabcdf511ee9a702155763ba8b7a40f7065942","sha256:74189a6f38fe889ee5a7e6eb24659a3e55a7d45aa3577c0dda92e526f2b6a199"],"state_sha256":"8fce425f1003fa800f3b6806bb63d06de1e51558773ee9b4392b90a6ba8c67b2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t00zHfh/zsu5nGonx2yuHExj9qpLzCTOwMuTw3yIyXBEuhEcPriOSGhqSA+/W9l9pqQ0sx+bPKmLQDacBddpCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-25T13:38:28.039220Z","bundle_sha256":"48e01e221f47c4162b143221b9511b826606cde18331159c79b77d9953668e5b"}}