{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:JJMDYSFEKAQP66GE2E7OZ4M4BA","short_pith_number":"pith:JJMDYSFE","canonical_record":{"source":{"id":"2306.00560","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-01T11:20:09Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"75ec83f7e63dbbe49f63a126d1f97ebdbb5982edaf3fef6d5ba345e91a449896","abstract_canon_sha256":"e5de0ad019e2c0ceae0d1a773e885f43d54bc100157ece3fba72e432c67c9a5c"},"schema_version":"1.0"},"canonical_sha256":"4a583c48a45020ff78c4d13eecf19c081f94bb57efecc51477fb709a0b63e14e","source":{"kind":"arxiv","id":"2306.00560","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.00560","created_at":"2026-07-05T08:34:54Z"},{"alias_kind":"arxiv_version","alias_value":"2306.00560v4","created_at":"2026-07-05T08:34:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.00560","created_at":"2026-07-05T08:34:54Z"},{"alias_kind":"pith_short_12","alias_value":"JJMDYSFEKAQP","created_at":"2026-07-05T08:34:54Z"},{"alias_kind":"pith_short_16","alias_value":"JJMDYSFEKAQP66GE","created_at":"2026-07-05T08:34:54Z"},{"alias_kind":"pith_short_8","alias_value":"JJMDYSFE","created_at":"2026-07-05T08:34:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:JJMDYSFEKAQP66GE2E7OZ4M4BA","target":"record","payload":{"canonical_record":{"source":{"id":"2306.00560","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-01T11:20:09Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"75ec83f7e63dbbe49f63a126d1f97ebdbb5982edaf3fef6d5ba345e91a449896","abstract_canon_sha256":"e5de0ad019e2c0ceae0d1a773e885f43d54bc100157ece3fba72e432c67c9a5c"},"schema_version":"1.0"},"canonical_sha256":"4a583c48a45020ff78c4d13eecf19c081f94bb57efecc51477fb709a0b63e14e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:34:54.939500Z","signature_b64":"c3A5qoLo4XYtys+tO3SUMXdDmoDjwqOOIm0eet/ps3z//wgfIiVHksXkEvRZm9MTIRBkTdn/LJT50n8q1SPwDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4a583c48a45020ff78c4d13eecf19c081f94bb57efecc51477fb709a0b63e14e","last_reissued_at":"2026-07-05T08:34:54.939080Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:34:54.939080Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.00560","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:34:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6MXgMVkar8YlxX+P/nb+eeDIR+V2cw/YO5ottrVF4C0QSLmGnQfbfJ0fpuha1tCLC2WoH4fh/5BqyeTbF2jaAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T12:18:38.707250Z"},"content_sha256":"ad99565b35a0f6644a76031f4efa261426f41b8a8dc197f03a745b1f33263752","schema_version":"1.0","event_id":"sha256:ad99565b35a0f6644a76031f4efa261426f41b8a8dc197f03a745b1f33263752"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:JJMDYSFEKAQP66GE2E7OZ4M4BA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Abdelrahman Eldesokey, Arvi Jonnarth, Bastian Wandt, Joakim Johnander, Per-Erik Forssen, Ziliang Xiong","submitted_at":"2023-06-01T11:20:09Z","abstract_excerpt":"Computer vision systems that are deployed in safety-critical applications need to quantify their output uncertainty. We study regression from images to parameter values and here it is common to detect uncertainty by predicting probability distributions. In this context, we investigate the regression-by-classification paradigm which can represent multimodal distributions, without a prior assumption on the number of modes. Through experiments on a specifically designed synthetic dataset, we demonstrate that traditional loss functions lead to poor probability distribution estimates and severe ove"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.00560","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2306.00560/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T08:34:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cOh8GXZyHZKNQzvReYRXN8TKncuLuF/X2D5W6aqbEq9cBB85IdzcQzlLAJyBH21RMeucHovU9GQUhvvwVaRNDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T12:18:38.707925Z"},"content_sha256":"fc4ea440d4794f19fc907f94d26f10d69080630521ff2df83488974092703e4e","schema_version":"1.0","event_id":"sha256:fc4ea440d4794f19fc907f94d26f10d69080630521ff2df83488974092703e4e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JJMDYSFEKAQP66GE2E7OZ4M4BA/bundle.json","state_url":"https://pith.science/pith/JJMDYSFEKAQP66GE2E7OZ4M4BA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JJMDYSFEKAQP66GE2E7OZ4M4BA/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":"2026-08-23T12:18:38Z","links":{"resolver":"https://pith.science/pith/JJMDYSFEKAQP66GE2E7OZ4M4BA","bundle":"https://pith.science/pith/JJMDYSFEKAQP66GE2E7OZ4M4BA/bundle.json","state":"https://pith.science/pith/JJMDYSFEKAQP66GE2E7OZ4M4BA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JJMDYSFEKAQP66GE2E7OZ4M4BA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:JJMDYSFEKAQP66GE2E7OZ4M4BA","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":"e5de0ad019e2c0ceae0d1a773e885f43d54bc100157ece3fba72e432c67c9a5c","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-01T11:20:09Z","title_canon_sha256":"75ec83f7e63dbbe49f63a126d1f97ebdbb5982edaf3fef6d5ba345e91a449896"},"schema_version":"1.0","source":{"id":"2306.00560","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.00560","created_at":"2026-07-05T08:34:54Z"},{"alias_kind":"arxiv_version","alias_value":"2306.00560v4","created_at":"2026-07-05T08:34:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.00560","created_at":"2026-07-05T08:34:54Z"},{"alias_kind":"pith_short_12","alias_value":"JJMDYSFEKAQP","created_at":"2026-07-05T08:34:54Z"},{"alias_kind":"pith_short_16","alias_value":"JJMDYSFEKAQP66GE","created_at":"2026-07-05T08:34:54Z"},{"alias_kind":"pith_short_8","alias_value":"JJMDYSFE","created_at":"2026-07-05T08:34:54Z"}],"graph_snapshots":[{"event_id":"sha256:fc4ea440d4794f19fc907f94d26f10d69080630521ff2df83488974092703e4e","target":"graph","created_at":"2026-07-05T08:34:54Z","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/2306.00560/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Computer vision systems that are deployed in safety-critical applications need to quantify their output uncertainty. We study regression from images to parameter values and here it is common to detect uncertainty by predicting probability distributions. In this context, we investigate the regression-by-classification paradigm which can represent multimodal distributions, without a prior assumption on the number of modes. Through experiments on a specifically designed synthetic dataset, we demonstrate that traditional loss functions lead to poor probability distribution estimates and severe ove","authors_text":"Abdelrahman Eldesokey, Arvi Jonnarth, Bastian Wandt, Joakim Johnander, Per-Erik Forssen, Ziliang Xiong","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-01T11:20:09Z","title":"Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.00560","kind":"arxiv","version":4},"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:ad99565b35a0f6644a76031f4efa261426f41b8a8dc197f03a745b1f33263752","target":"record","created_at":"2026-07-05T08:34:54Z","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":"e5de0ad019e2c0ceae0d1a773e885f43d54bc100157ece3fba72e432c67c9a5c","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-01T11:20:09Z","title_canon_sha256":"75ec83f7e63dbbe49f63a126d1f97ebdbb5982edaf3fef6d5ba345e91a449896"},"schema_version":"1.0","source":{"id":"2306.00560","kind":"arxiv","version":4}},"canonical_sha256":"4a583c48a45020ff78c4d13eecf19c081f94bb57efecc51477fb709a0b63e14e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4a583c48a45020ff78c4d13eecf19c081f94bb57efecc51477fb709a0b63e14e","first_computed_at":"2026-07-05T08:34:54.939080Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:34:54.939080Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"c3A5qoLo4XYtys+tO3SUMXdDmoDjwqOOIm0eet/ps3z//wgfIiVHksXkEvRZm9MTIRBkTdn/LJT50n8q1SPwDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:34:54.939500Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.00560","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ad99565b35a0f6644a76031f4efa261426f41b8a8dc197f03a745b1f33263752","sha256:fc4ea440d4794f19fc907f94d26f10d69080630521ff2df83488974092703e4e"],"state_sha256":"e48eefcab12ef1fce4784a7dd3c3f7ed45d3f87b69796de19520b1855a73f966"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OCCAf08uqKmt4ze/7RV+nHliXOQwLfl6ouxE8csMBlXttTSjSnOq/o5gPG+9sVnB7p8uRYpPxpT0UmmwBKUxBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T12:18:38.712897Z","bundle_sha256":"c8897030bb50e541fef245047c44abd0851fe3eaa033538130a850851762c32b"}}