{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:VBMT4GVW7HOSZH22MZX3N7LRBP","short_pith_number":"pith:VBMT4GVW","canonical_record":{"source":{"id":"1509.01405","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-09-04T11:20:47Z","cross_cats_sorted":[],"title_canon_sha256":"3e43755fd95f59636e85aca6f3d15f17a920188fa2e00a4c48a590a803ce42d5","abstract_canon_sha256":"b97180dcad7a51363e4e9c983461e070aa47a54c21bbc1de8d99ff78fa5d30bf"},"schema_version":"1.0"},"canonical_sha256":"a8593e1ab6f9dd2c9f5a666fb6fd710bd8a5d6f49d57b0710885f064a1de2e13","source":{"kind":"arxiv","id":"1509.01405","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1509.01405","created_at":"2026-05-18T01:33:57Z"},{"alias_kind":"arxiv_version","alias_value":"1509.01405v1","created_at":"2026-05-18T01:33:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1509.01405","created_at":"2026-05-18T01:33:57Z"},{"alias_kind":"pith_short_12","alias_value":"VBMT4GVW7HOS","created_at":"2026-05-18T12:29:44Z"},{"alias_kind":"pith_short_16","alias_value":"VBMT4GVW7HOSZH22","created_at":"2026-05-18T12:29:44Z"},{"alias_kind":"pith_short_8","alias_value":"VBMT4GVW","created_at":"2026-05-18T12:29:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:VBMT4GVW7HOSZH22MZX3N7LRBP","target":"record","payload":{"canonical_record":{"source":{"id":"1509.01405","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-09-04T11:20:47Z","cross_cats_sorted":[],"title_canon_sha256":"3e43755fd95f59636e85aca6f3d15f17a920188fa2e00a4c48a590a803ce42d5","abstract_canon_sha256":"b97180dcad7a51363e4e9c983461e070aa47a54c21bbc1de8d99ff78fa5d30bf"},"schema_version":"1.0"},"canonical_sha256":"a8593e1ab6f9dd2c9f5a666fb6fd710bd8a5d6f49d57b0710885f064a1de2e13","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:33:57.754737Z","signature_b64":"BY+tvUONZvXHkGwdrNLOxypw0U6k9JefOHxJ6eXQxkIEphD1U5GRHVB4jx4DZtjzcX1KAdNqrs8Ae36hjpGzDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a8593e1ab6f9dd2c9f5a666fb6fd710bd8a5d6f49d57b0710885f064a1de2e13","last_reissued_at":"2026-05-18T01:33:57.754337Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:33:57.754337Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1509.01405","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":"2026-05-18T01:33:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LzRI64FU1QTHfXJ/uR1hRuByf0gs/fe10Ud7qV+oSjwmaOHcCcv1fbEeAMWK6m1B4lhpUXgoTJl0IlRwNRZZAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T16:54:17.967557Z"},"content_sha256":"ea6f713e1104be82d389d6d3b38b836788a6d36554a45e4eb6295d47ddd75a34","schema_version":"1.0","event_id":"sha256:ea6f713e1104be82d389d6d3b38b836788a6d36554a45e4eb6295d47ddd75a34"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:VBMT4GVW7HOSZH22MZX3N7LRBP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Latent drop-out transitions in quantile regression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Marco Alf\\'o, Maria Francesca Marino","submitted_at":"2015-09-04T11:20:47Z","abstract_excerpt":"Longitudinal data are characterized by the dependence between observations coming from the same individual. In a regression perspective, such a dependence can be usefully ascribed to unobserved features (covariates) specific to each individual. On these grounds, random parameter models with time-constant or time-varying structure are well established in the generalized linear model context. In the quantile regression framework, specifications based on random parameters have only recently known a flowering interest. We start from the recent proposal by Farcomeni (2012) on longitudinal quantile "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1509.01405","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":"2026-05-18T01:33:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2Lavnu7oFaBXBqG8Mj136vn1dd3+FpMCG3xY8Y51m/P5DAVtdwF+F+hjUDNuc7ePBWDi7EI5jgdk9qE7PaQnDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T16:54:17.967906Z"},"content_sha256":"ee902ae21795a8b8eed3bf08029c82b04401e653f167a54ac29c287d45e262cf","schema_version":"1.0","event_id":"sha256:ee902ae21795a8b8eed3bf08029c82b04401e653f167a54ac29c287d45e262cf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VBMT4GVW7HOSZH22MZX3N7LRBP/bundle.json","state_url":"https://pith.science/pith/VBMT4GVW7HOSZH22MZX3N7LRBP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VBMT4GVW7HOSZH22MZX3N7LRBP/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":"2026-06-23T16:54:17Z","links":{"resolver":"https://pith.science/pith/VBMT4GVW7HOSZH22MZX3N7LRBP","bundle":"https://pith.science/pith/VBMT4GVW7HOSZH22MZX3N7LRBP/bundle.json","state":"https://pith.science/pith/VBMT4GVW7HOSZH22MZX3N7LRBP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VBMT4GVW7HOSZH22MZX3N7LRBP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:VBMT4GVW7HOSZH22MZX3N7LRBP","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":"b97180dcad7a51363e4e9c983461e070aa47a54c21bbc1de8d99ff78fa5d30bf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-09-04T11:20:47Z","title_canon_sha256":"3e43755fd95f59636e85aca6f3d15f17a920188fa2e00a4c48a590a803ce42d5"},"schema_version":"1.0","source":{"id":"1509.01405","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1509.01405","created_at":"2026-05-18T01:33:57Z"},{"alias_kind":"arxiv_version","alias_value":"1509.01405v1","created_at":"2026-05-18T01:33:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1509.01405","created_at":"2026-05-18T01:33:57Z"},{"alias_kind":"pith_short_12","alias_value":"VBMT4GVW7HOS","created_at":"2026-05-18T12:29:44Z"},{"alias_kind":"pith_short_16","alias_value":"VBMT4GVW7HOSZH22","created_at":"2026-05-18T12:29:44Z"},{"alias_kind":"pith_short_8","alias_value":"VBMT4GVW","created_at":"2026-05-18T12:29:44Z"}],"graph_snapshots":[{"event_id":"sha256:ee902ae21795a8b8eed3bf08029c82b04401e653f167a54ac29c287d45e262cf","target":"graph","created_at":"2026-05-18T01:33:57Z","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":"Longitudinal data are characterized by the dependence between observations coming from the same individual. In a regression perspective, such a dependence can be usefully ascribed to unobserved features (covariates) specific to each individual. On these grounds, random parameter models with time-constant or time-varying structure are well established in the generalized linear model context. In the quantile regression framework, specifications based on random parameters have only recently known a flowering interest. We start from the recent proposal by Farcomeni (2012) on longitudinal quantile ","authors_text":"Marco Alf\\'o, Maria Francesca Marino","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-09-04T11:20:47Z","title":"Latent drop-out transitions in quantile regression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1509.01405","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:ea6f713e1104be82d389d6d3b38b836788a6d36554a45e4eb6295d47ddd75a34","target":"record","created_at":"2026-05-18T01:33:57Z","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":"b97180dcad7a51363e4e9c983461e070aa47a54c21bbc1de8d99ff78fa5d30bf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-09-04T11:20:47Z","title_canon_sha256":"3e43755fd95f59636e85aca6f3d15f17a920188fa2e00a4c48a590a803ce42d5"},"schema_version":"1.0","source":{"id":"1509.01405","kind":"arxiv","version":1}},"canonical_sha256":"a8593e1ab6f9dd2c9f5a666fb6fd710bd8a5d6f49d57b0710885f064a1de2e13","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a8593e1ab6f9dd2c9f5a666fb6fd710bd8a5d6f49d57b0710885f064a1de2e13","first_computed_at":"2026-05-18T01:33:57.754337Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:33:57.754337Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BY+tvUONZvXHkGwdrNLOxypw0U6k9JefOHxJ6eXQxkIEphD1U5GRHVB4jx4DZtjzcX1KAdNqrs8Ae36hjpGzDw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:33:57.754737Z","signed_message":"canonical_sha256_bytes"},"source_id":"1509.01405","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ea6f713e1104be82d389d6d3b38b836788a6d36554a45e4eb6295d47ddd75a34","sha256:ee902ae21795a8b8eed3bf08029c82b04401e653f167a54ac29c287d45e262cf"],"state_sha256":"6278410dd538fb242fcea8835e46f273550a03decbf699a12dee14151a8ae5d2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ugR3FdgBv6avqfLph4BjBm9TOMQqHmrGvmwy89XOks3l+fLqQiYyyBV1ffAIW1tEcmb9garMU7Os2Pjl97l5DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-23T16:54:17.969890Z","bundle_sha256":"e4063bb1ed03490eefd4c9ec75fd116eadc70273659c8f48fb2f7fc526d14b5b"}}