{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:ZJW35NDSHLZQR3KMNKEB2OV6MH","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":"769cca99ba2534c04542c8c4030171131578cfcd025167daa6385f229d49a01e","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2020-10-14T09:00:16Z","title_canon_sha256":"fd4b5d1b09d44fe53e72309c529d632f4b9f31787c4ced835b4279c49bf95b5b"},"schema_version":"1.0","source":{"id":"2010.06889","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.06889","created_at":"2026-07-05T01:43:00Z"},{"alias_kind":"arxiv_version","alias_value":"2010.06889v1","created_at":"2026-07-05T01:43:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.06889","created_at":"2026-07-05T01:43:00Z"},{"alias_kind":"pith_short_12","alias_value":"ZJW35NDSHLZQ","created_at":"2026-07-05T01:43:00Z"},{"alias_kind":"pith_short_16","alias_value":"ZJW35NDSHLZQR3KM","created_at":"2026-07-05T01:43:00Z"},{"alias_kind":"pith_short_8","alias_value":"ZJW35NDS","created_at":"2026-07-05T01:43:00Z"}],"graph_snapshots":[{"event_id":"sha256:372f4ad1615786c759d0e83c43d252bdd56f568b6b9a6e15c893566d916f04b4","target":"graph","created_at":"2026-07-05T01:43:00Z","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/2010.06889/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present neural mixture distributional regression (NMDR), a holistic framework to estimate complex finite mixtures of distributional regressions defined by flexible additive predictors. Our framework is able to handle a large number of mixtures of potentially different distributions in high-dimensional settings, allows for efficient and scalable optimization and can be applied to recent concepts that combine structured regression models with deep neural networks. While many existing approaches for mixture models address challenges in optimization of such and provide results for convergence u","authors_text":"Bernd Bischl, David R\\\"ugamer, Florian Pfisterer","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2020-10-14T09:00:16Z","title":"Neural Mixture Distributional Regression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.06889","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":"sha256:4a5287d2b3b78382f0590a23a37c63891c0be8084fce77388bc5f2a586939d54","target":"record","created_at":"2026-07-05T01:43:00Z","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":"769cca99ba2534c04542c8c4030171131578cfcd025167daa6385f229d49a01e","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2020-10-14T09:00:16Z","title_canon_sha256":"fd4b5d1b09d44fe53e72309c529d632f4b9f31787c4ced835b4279c49bf95b5b"},"schema_version":"1.0","source":{"id":"2010.06889","kind":"arxiv","version":1}},"canonical_sha256":"ca6dbeb4723af308ed4c6a881d3abe61de808d20ba240c2af044976b060a7a9f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ca6dbeb4723af308ed4c6a881d3abe61de808d20ba240c2af044976b060a7a9f","first_computed_at":"2026-07-05T01:43:00.744128Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:43:00.744128Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JXED7ZNj10YlNhiTE3GI8P9n3ba4C8ePhosHJLZ6cFAtQvQPA4EKHoutHWfp40PTBRk8/IWlqhowojBLOoUGAA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:43:00.744484Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.06889","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4a5287d2b3b78382f0590a23a37c63891c0be8084fce77388bc5f2a586939d54","sha256:372f4ad1615786c759d0e83c43d252bdd56f568b6b9a6e15c893566d916f04b4"],"state_sha256":"e516015d0eebaf40762ed8c43d568a547386173af2ed645e9d3beb648cafcb4f"}