{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:TKDR6OAGFGPRZ7QIUFDMPFOAFM","short_pith_number":"pith:TKDR6OAG","canonical_record":{"source":{"id":"1201.5786","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2012-01-27T14:38:48Z","cross_cats_sorted":[],"title_canon_sha256":"685ba336861d60a9d1ded102eeb0f0c09e3d66d8311d708a2fd2e2ff32b9e261","abstract_canon_sha256":"acd6da40d5142faf843d9dfba7f3d63dbf8251973e1dfe15cee7199a09be448b"},"schema_version":"1.0"},"canonical_sha256":"9a871f3806299f1cfe08a146c795c02b30bb8a5b5e9dbf845f2e65f828a4d65b","source":{"kind":"arxiv","id":"1201.5786","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1201.5786","created_at":"2026-05-18T00:28:19Z"},{"alias_kind":"arxiv_version","alias_value":"1201.5786v2","created_at":"2026-05-18T00:28:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1201.5786","created_at":"2026-05-18T00:28:19Z"},{"alias_kind":"pith_short_12","alias_value":"TKDR6OAGFGPR","created_at":"2026-05-18T12:27:23Z"},{"alias_kind":"pith_short_16","alias_value":"TKDR6OAGFGPRZ7QI","created_at":"2026-05-18T12:27:23Z"},{"alias_kind":"pith_short_8","alias_value":"TKDR6OAG","created_at":"2026-05-18T12:27:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:TKDR6OAGFGPRZ7QIUFDMPFOAFM","target":"record","payload":{"canonical_record":{"source":{"id":"1201.5786","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2012-01-27T14:38:48Z","cross_cats_sorted":[],"title_canon_sha256":"685ba336861d60a9d1ded102eeb0f0c09e3d66d8311d708a2fd2e2ff32b9e261","abstract_canon_sha256":"acd6da40d5142faf843d9dfba7f3d63dbf8251973e1dfe15cee7199a09be448b"},"schema_version":"1.0"},"canonical_sha256":"9a871f3806299f1cfe08a146c795c02b30bb8a5b5e9dbf845f2e65f828a4d65b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:28:19.327670Z","signature_b64":"PGs8l19W2diPw1+TXxDU9zuXCMtEWd7SZCfMxpAlWnHIr08iNf8njQu+L6kssabrCLgRL8qtqEGhAZPBif0FBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9a871f3806299f1cfe08a146c795c02b30bb8a5b5e9dbf845f2e65f828a4d65b","last_reissued_at":"2026-05-18T00:28:19.326755Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:28:19.326755Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1201.5786","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":"2026-05-18T00:28:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ITbbLbOybV9D6DQCa05bgXnAWFRHDJcgzwEd4/eUut0oJvX8BjbGrxIRtF0mrY/FvO1gA/IRkLypUKSo1/JLBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T18:45:56.219403Z"},"content_sha256":"c1bba04155532235d6abb3306737c3db73259f40efb4b12a7918d97a687398bf","schema_version":"1.0","event_id":"sha256:c1bba04155532235d6abb3306737c3db73259f40efb4b12a7918d97a687398bf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:TKDR6OAGFGPRZ7QIUFDMPFOAFM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Conditional Transformation Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Peter B\\\"uhlmann, Thomas Kneib, Torsten Hothorn","submitted_at":"2012-01-27T14:38:48Z","abstract_excerpt":"The ultimate goal of regression analysis is to obtain information about the conditional distribution of a response given a set of explanatory variables. This goal is, however, seldom achieved because most established regression models only estimate the conditional mean as a function of the explanatory variables and assume that higher moments are not affected by the regressors. The underlying reason for such a restriction is the assumption of additivity of signal and noise. We propose to relax this common assumption in the framework of transformation models. The novel class of semiparametric re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1201.5786","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":"2026-05-18T00:28:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A3KgzObJ4lFDpliAXGz4F18q6MXgEk/ohLXkEIv1XDeXpDNbIF6DUYejkP9UE2pfDpQG0v1jdmL4oFkBtZx0DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T18:45:56.219755Z"},"content_sha256":"256a5ff5210fcb49db7097b145f96cba2814cc964cc7c9e17e0dabaae7769fd3","schema_version":"1.0","event_id":"sha256:256a5ff5210fcb49db7097b145f96cba2814cc964cc7c9e17e0dabaae7769fd3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TKDR6OAGFGPRZ7QIUFDMPFOAFM/bundle.json","state_url":"https://pith.science/pith/TKDR6OAGFGPRZ7QIUFDMPFOAFM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TKDR6OAGFGPRZ7QIUFDMPFOAFM/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":"2026-06-25T18:45:56Z","links":{"resolver":"https://pith.science/pith/TKDR6OAGFGPRZ7QIUFDMPFOAFM","bundle":"https://pith.science/pith/TKDR6OAGFGPRZ7QIUFDMPFOAFM/bundle.json","state":"https://pith.science/pith/TKDR6OAGFGPRZ7QIUFDMPFOAFM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TKDR6OAGFGPRZ7QIUFDMPFOAFM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:TKDR6OAGFGPRZ7QIUFDMPFOAFM","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":"acd6da40d5142faf843d9dfba7f3d63dbf8251973e1dfe15cee7199a09be448b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2012-01-27T14:38:48Z","title_canon_sha256":"685ba336861d60a9d1ded102eeb0f0c09e3d66d8311d708a2fd2e2ff32b9e261"},"schema_version":"1.0","source":{"id":"1201.5786","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1201.5786","created_at":"2026-05-18T00:28:19Z"},{"alias_kind":"arxiv_version","alias_value":"1201.5786v2","created_at":"2026-05-18T00:28:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1201.5786","created_at":"2026-05-18T00:28:19Z"},{"alias_kind":"pith_short_12","alias_value":"TKDR6OAGFGPR","created_at":"2026-05-18T12:27:23Z"},{"alias_kind":"pith_short_16","alias_value":"TKDR6OAGFGPRZ7QI","created_at":"2026-05-18T12:27:23Z"},{"alias_kind":"pith_short_8","alias_value":"TKDR6OAG","created_at":"2026-05-18T12:27:23Z"}],"graph_snapshots":[{"event_id":"sha256:256a5ff5210fcb49db7097b145f96cba2814cc964cc7c9e17e0dabaae7769fd3","target":"graph","created_at":"2026-05-18T00:28:19Z","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 ultimate goal of regression analysis is to obtain information about the conditional distribution of a response given a set of explanatory variables. This goal is, however, seldom achieved because most established regression models only estimate the conditional mean as a function of the explanatory variables and assume that higher moments are not affected by the regressors. The underlying reason for such a restriction is the assumption of additivity of signal and noise. We propose to relax this common assumption in the framework of transformation models. The novel class of semiparametric re","authors_text":"Peter B\\\"uhlmann, Thomas Kneib, Torsten Hothorn","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2012-01-27T14:38:48Z","title":"Conditional Transformation Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1201.5786","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:c1bba04155532235d6abb3306737c3db73259f40efb4b12a7918d97a687398bf","target":"record","created_at":"2026-05-18T00:28:19Z","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":"acd6da40d5142faf843d9dfba7f3d63dbf8251973e1dfe15cee7199a09be448b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2012-01-27T14:38:48Z","title_canon_sha256":"685ba336861d60a9d1ded102eeb0f0c09e3d66d8311d708a2fd2e2ff32b9e261"},"schema_version":"1.0","source":{"id":"1201.5786","kind":"arxiv","version":2}},"canonical_sha256":"9a871f3806299f1cfe08a146c795c02b30bb8a5b5e9dbf845f2e65f828a4d65b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9a871f3806299f1cfe08a146c795c02b30bb8a5b5e9dbf845f2e65f828a4d65b","first_computed_at":"2026-05-18T00:28:19.326755Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:28:19.326755Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PGs8l19W2diPw1+TXxDU9zuXCMtEWd7SZCfMxpAlWnHIr08iNf8njQu+L6kssabrCLgRL8qtqEGhAZPBif0FBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:28:19.327670Z","signed_message":"canonical_sha256_bytes"},"source_id":"1201.5786","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c1bba04155532235d6abb3306737c3db73259f40efb4b12a7918d97a687398bf","sha256:256a5ff5210fcb49db7097b145f96cba2814cc964cc7c9e17e0dabaae7769fd3"],"state_sha256":"9032e8184e186c63da2e817145ccd4fb91f9a0b7e96a8b3c05fc1d12b496f79e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Bq82ETAZwPCmwh0jZjo9q0DRvXqqOnymltvxwJW4QrbCGU07tx7XjDUwwaBLz7ikozwxcykCDMUzqiK7/E0nCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-25T18:45:56.221710Z","bundle_sha256":"4742c2cfc12535fc11bfabba7adccefe46b3a0c2993d175ea9593849a6ff2e0f"}}