{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:6YJDWUN2Q2LCXCQHLLDER2GELG","short_pith_number":"pith:6YJDWUN2","canonical_record":{"source":{"id":"1706.00244","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-06-01T10:25:50Z","cross_cats_sorted":["cs.LG","q-bio.QM"],"title_canon_sha256":"af717ec5de8800f301a7f9c97e8f22fdd9a6d72c9c25d67d533a632e005b10d3","abstract_canon_sha256":"98fc38e0c69189f47a02f6e9659820639d4ccf9b56c4107f2d26f1b98d38a8c4"},"schema_version":"1.0"},"canonical_sha256":"f6123b51ba86962b8a075ac648e8c459998e680d4ed8f45b14d1b394c05e7cc8","source":{"kind":"arxiv","id":"1706.00244","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.00244","created_at":"2026-05-18T00:43:14Z"},{"alias_kind":"arxiv_version","alias_value":"1706.00244v1","created_at":"2026-05-18T00:43:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.00244","created_at":"2026-05-18T00:43:14Z"},{"alias_kind":"pith_short_12","alias_value":"6YJDWUN2Q2LC","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"6YJDWUN2Q2LCXCQH","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"6YJDWUN2","created_at":"2026-05-18T12:31:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:6YJDWUN2Q2LCXCQHLLDER2GELG","target":"record","payload":{"canonical_record":{"source":{"id":"1706.00244","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-06-01T10:25:50Z","cross_cats_sorted":["cs.LG","q-bio.QM"],"title_canon_sha256":"af717ec5de8800f301a7f9c97e8f22fdd9a6d72c9c25d67d533a632e005b10d3","abstract_canon_sha256":"98fc38e0c69189f47a02f6e9659820639d4ccf9b56c4107f2d26f1b98d38a8c4"},"schema_version":"1.0"},"canonical_sha256":"f6123b51ba86962b8a075ac648e8c459998e680d4ed8f45b14d1b394c05e7cc8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:43:14.620219Z","signature_b64":"FbkFYxQVBdy4eulWT9/jT6MIiehyg/KBT1+RJSmbbg8Tn3m/DsuYb0pQJFyeSzS9u1uX9zPgmDWoSQdzigR/DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f6123b51ba86962b8a075ac648e8c459998e680d4ed8f45b14d1b394c05e7cc8","last_reissued_at":"2026-05-18T00:43:14.619553Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:43:14.619553Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1706.00244","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":"2026-05-18T00:43:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0uzWYenZVWpYdZNL59VhHI4Leb6Oe4nvMKMcStYKRq8qe3a0Jjydkfg2OO7ZWdN6vlj62qcBIxlz8TPseiiYAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T11:51:13.796648Z"},"content_sha256":"ecfb0d2cb6074f4fb845721fe6d077bcd55b2d003dbf5d6b655be51ad506415c","schema_version":"1.0","event_id":"sha256:ecfb0d2cb6074f4fb845721fe6d077bcd55b2d003dbf5d6b655be51ad506415c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:6YJDWUN2Q2LCXCQHLLDER2GELG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Supervised Quantile Normalisation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","q-bio.QM"],"primary_cat":"stat.ML","authors_text":"CBIO), Jean-Philippe Vert (DMA, Marine Le Morvan (CBIO)","submitted_at":"2017-06-01T10:25:50Z","abstract_excerpt":"Quantile normalisation is a popular normalisation method for data subject to unwanted variations such as images, speech, or genomic data. It applies a monotonic transformation to the feature values of each sample to ensure that after normalisation, they follow the same target distribution for each sample. Choosing a \"good\" target distribution remains however largely empirical and heuristic, and is usually done independently of the subsequent analysis of normalised data. We propose instead to couple the quantile normalisation step with the subsequent analysis, and to optimise the target distrib"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.00244","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":"2026-05-18T00:43:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JzcdBGd5Q4ZuEDo0TT6WWlloN8hKkVrGCZNDh8lT6K6R+Kmb98JBeao1QE2HhmwIyAwebtLr3EK4gX6ve7k/DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T11:51:13.797350Z"},"content_sha256":"4b2da6662d4bcda83f46978701b9c9577a599b345cf86fc36f2d46bb13a80cf9","schema_version":"1.0","event_id":"sha256:4b2da6662d4bcda83f46978701b9c9577a599b345cf86fc36f2d46bb13a80cf9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6YJDWUN2Q2LCXCQHLLDER2GELG/bundle.json","state_url":"https://pith.science/pith/6YJDWUN2Q2LCXCQHLLDER2GELG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6YJDWUN2Q2LCXCQHLLDER2GELG/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":"2026-05-27T11:51:13Z","links":{"resolver":"https://pith.science/pith/6YJDWUN2Q2LCXCQHLLDER2GELG","bundle":"https://pith.science/pith/6YJDWUN2Q2LCXCQHLLDER2GELG/bundle.json","state":"https://pith.science/pith/6YJDWUN2Q2LCXCQHLLDER2GELG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6YJDWUN2Q2LCXCQHLLDER2GELG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:6YJDWUN2Q2LCXCQHLLDER2GELG","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":"98fc38e0c69189f47a02f6e9659820639d4ccf9b56c4107f2d26f1b98d38a8c4","cross_cats_sorted":["cs.LG","q-bio.QM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-06-01T10:25:50Z","title_canon_sha256":"af717ec5de8800f301a7f9c97e8f22fdd9a6d72c9c25d67d533a632e005b10d3"},"schema_version":"1.0","source":{"id":"1706.00244","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.00244","created_at":"2026-05-18T00:43:14Z"},{"alias_kind":"arxiv_version","alias_value":"1706.00244v1","created_at":"2026-05-18T00:43:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.00244","created_at":"2026-05-18T00:43:14Z"},{"alias_kind":"pith_short_12","alias_value":"6YJDWUN2Q2LC","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"6YJDWUN2Q2LCXCQH","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"6YJDWUN2","created_at":"2026-05-18T12:31:03Z"}],"graph_snapshots":[{"event_id":"sha256:4b2da6662d4bcda83f46978701b9c9577a599b345cf86fc36f2d46bb13a80cf9","target":"graph","created_at":"2026-05-18T00:43:14Z","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":"Quantile normalisation is a popular normalisation method for data subject to unwanted variations such as images, speech, or genomic data. It applies a monotonic transformation to the feature values of each sample to ensure that after normalisation, they follow the same target distribution for each sample. Choosing a \"good\" target distribution remains however largely empirical and heuristic, and is usually done independently of the subsequent analysis of normalised data. We propose instead to couple the quantile normalisation step with the subsequent analysis, and to optimise the target distrib","authors_text":"CBIO), Jean-Philippe Vert (DMA, Marine Le Morvan (CBIO)","cross_cats":["cs.LG","q-bio.QM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-06-01T10:25:50Z","title":"Supervised Quantile Normalisation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.00244","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:ecfb0d2cb6074f4fb845721fe6d077bcd55b2d003dbf5d6b655be51ad506415c","target":"record","created_at":"2026-05-18T00:43:14Z","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":"98fc38e0c69189f47a02f6e9659820639d4ccf9b56c4107f2d26f1b98d38a8c4","cross_cats_sorted":["cs.LG","q-bio.QM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-06-01T10:25:50Z","title_canon_sha256":"af717ec5de8800f301a7f9c97e8f22fdd9a6d72c9c25d67d533a632e005b10d3"},"schema_version":"1.0","source":{"id":"1706.00244","kind":"arxiv","version":1}},"canonical_sha256":"f6123b51ba86962b8a075ac648e8c459998e680d4ed8f45b14d1b394c05e7cc8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f6123b51ba86962b8a075ac648e8c459998e680d4ed8f45b14d1b394c05e7cc8","first_computed_at":"2026-05-18T00:43:14.619553Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:43:14.619553Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FbkFYxQVBdy4eulWT9/jT6MIiehyg/KBT1+RJSmbbg8Tn3m/DsuYb0pQJFyeSzS9u1uX9zPgmDWoSQdzigR/DA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:43:14.620219Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.00244","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ecfb0d2cb6074f4fb845721fe6d077bcd55b2d003dbf5d6b655be51ad506415c","sha256:4b2da6662d4bcda83f46978701b9c9577a599b345cf86fc36f2d46bb13a80cf9"],"state_sha256":"452ba7d301fc9d5b62b09b7b8b794464805f8fc2b3e85dd47ba1ab66abe720a8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TPn+QjAX4WnyQ1Vu8b4exOs7KQ0CcbBZ6JRAXWU1/MCsZXUyMUXYgtKxkvg4edLWEqq85gMEESOjFcI8cvqoAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T11:51:13.800955Z","bundle_sha256":"6a65eddee606ea510b4578a3d5f9ae88a7af7a67f80beb475c8789604b9c4605"}}