{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:KZ3F5M7HLY5NIJYDCT3Q6ZIQOC","short_pith_number":"pith:KZ3F5M7H","canonical_record":{"source":{"id":"2307.09797","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-19T07:31:37Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"57b6cb515c6d725e44a86bb4666d168cdf085f5b9c08355474b4aa64963a9a17","abstract_canon_sha256":"981e29c7c60ed66ad7c9fd71a1c572c67ca6d4da53f914bb6fac313e9e861a32"},"schema_version":"1.0"},"canonical_sha256":"56765eb3e75e3ad4270314f70f651070aa55c499c7a8a703d6550ab98a0e7571","source":{"kind":"arxiv","id":"2307.09797","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.09797","created_at":"2026-07-05T09:52:57Z"},{"alias_kind":"arxiv_version","alias_value":"2307.09797v4","created_at":"2026-07-05T09:52:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.09797","created_at":"2026-07-05T09:52:57Z"},{"alias_kind":"pith_short_12","alias_value":"KZ3F5M7HLY5N","created_at":"2026-07-05T09:52:57Z"},{"alias_kind":"pith_short_16","alias_value":"KZ3F5M7HLY5NIJYD","created_at":"2026-07-05T09:52:57Z"},{"alias_kind":"pith_short_8","alias_value":"KZ3F5M7H","created_at":"2026-07-05T09:52:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:KZ3F5M7HLY5NIJYDCT3Q6ZIQOC","target":"record","payload":{"canonical_record":{"source":{"id":"2307.09797","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-19T07:31:37Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"57b6cb515c6d725e44a86bb4666d168cdf085f5b9c08355474b4aa64963a9a17","abstract_canon_sha256":"981e29c7c60ed66ad7c9fd71a1c572c67ca6d4da53f914bb6fac313e9e861a32"},"schema_version":"1.0"},"canonical_sha256":"56765eb3e75e3ad4270314f70f651070aa55c499c7a8a703d6550ab98a0e7571","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:52:57.120648Z","signature_b64":"5sQON8U8YhtMp0u8PDs+5jSOCyMMnGB75w++WTjKEXNqKT9jmtK5o5KPjxvMlhFZ7EAKQyGll1iAXafNgMCIDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"56765eb3e75e3ad4270314f70f651070aa55c499c7a8a703d6550ab98a0e7571","last_reissued_at":"2026-07-05T09:52:57.120072Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:52:57.120072Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.09797","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":"2026-07-05T09:52:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LP7T189Zxy+GTe8bosteetEkCzjPTzCHz/z65P9WXjdAdx315nwMM448Y5kLfmNWxVJAgdWhoZDhYWiBJ4azDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T19:03:52.518972Z"},"content_sha256":"f7d04c83ea2876fa510cc13dc8bf7eee136c2b07d457e2121ac0c7754d26fa40","schema_version":"1.0","event_id":"sha256:f7d04c83ea2876fa510cc13dc8bf7eee136c2b07d457e2121ac0c7754d26fa40"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:KZ3F5M7HLY5NIJYDCT3Q6ZIQOC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"$\\clubsuit$ CLOVER $\\clubsuit$: Probabilistic Forecasting with Coherent Learning Objective Reparameterization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Geoffrey N\\'egiar, Kin G. Olivares, Mengfei Cao, Michael W. Mahoney, O. Nangba Meetei, Ruijun Ma","submitted_at":"2023-07-19T07:31:37Z","abstract_excerpt":"Obtaining accurate probabilistic forecasts is an operational challenge in many applications, such as energy management, climate forecasting, supply chain planning, and resource allocation. Many of these applications present a natural hierarchical structure over the forecasted quantities; and forecasting systems that adhere to this hierarchical structure are said to be coherent. Furthermore, operational planning benefits from the accuracy at all levels of the aggregation hierarchy. However, building accurate and coherent forecasting systems is challenging: classic multivariate time series tools"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.09797","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/2307.09797/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":"2026-07-05T09:52:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r28mHu0yT1+bOGjUVZCK2v9BL9VqKl/oUuHnsZy5K8eO7udSbAzvaZH7vvsnn6AHRGXT0PhNTOVu2Kj2xceSAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T19:03:52.519557Z"},"content_sha256":"93f31f7b1d39203b2d3e29020267c08839727d8a6c615178e1e0d17fe7114771","schema_version":"1.0","event_id":"sha256:93f31f7b1d39203b2d3e29020267c08839727d8a6c615178e1e0d17fe7114771"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KZ3F5M7HLY5NIJYDCT3Q6ZIQOC/bundle.json","state_url":"https://pith.science/pith/KZ3F5M7HLY5NIJYDCT3Q6ZIQOC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KZ3F5M7HLY5NIJYDCT3Q6ZIQOC/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":"2026-08-20T19:03:52Z","links":{"resolver":"https://pith.science/pith/KZ3F5M7HLY5NIJYDCT3Q6ZIQOC","bundle":"https://pith.science/pith/KZ3F5M7HLY5NIJYDCT3Q6ZIQOC/bundle.json","state":"https://pith.science/pith/KZ3F5M7HLY5NIJYDCT3Q6ZIQOC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KZ3F5M7HLY5NIJYDCT3Q6ZIQOC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:KZ3F5M7HLY5NIJYDCT3Q6ZIQOC","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":"981e29c7c60ed66ad7c9fd71a1c572c67ca6d4da53f914bb6fac313e9e861a32","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-19T07:31:37Z","title_canon_sha256":"57b6cb515c6d725e44a86bb4666d168cdf085f5b9c08355474b4aa64963a9a17"},"schema_version":"1.0","source":{"id":"2307.09797","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.09797","created_at":"2026-07-05T09:52:57Z"},{"alias_kind":"arxiv_version","alias_value":"2307.09797v4","created_at":"2026-07-05T09:52:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.09797","created_at":"2026-07-05T09:52:57Z"},{"alias_kind":"pith_short_12","alias_value":"KZ3F5M7HLY5N","created_at":"2026-07-05T09:52:57Z"},{"alias_kind":"pith_short_16","alias_value":"KZ3F5M7HLY5NIJYD","created_at":"2026-07-05T09:52:57Z"},{"alias_kind":"pith_short_8","alias_value":"KZ3F5M7H","created_at":"2026-07-05T09:52:57Z"}],"graph_snapshots":[{"event_id":"sha256:93f31f7b1d39203b2d3e29020267c08839727d8a6c615178e1e0d17fe7114771","target":"graph","created_at":"2026-07-05T09:52:57Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2307.09797/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Obtaining accurate probabilistic forecasts is an operational challenge in many applications, such as energy management, climate forecasting, supply chain planning, and resource allocation. Many of these applications present a natural hierarchical structure over the forecasted quantities; and forecasting systems that adhere to this hierarchical structure are said to be coherent. Furthermore, operational planning benefits from the accuracy at all levels of the aggregation hierarchy. However, building accurate and coherent forecasting systems is challenging: classic multivariate time series tools","authors_text":"Geoffrey N\\'egiar, Kin G. Olivares, Mengfei Cao, Michael W. Mahoney, O. Nangba Meetei, Ruijun Ma","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-19T07:31:37Z","title":"$\\clubsuit$ CLOVER $\\clubsuit$: Probabilistic Forecasting with Coherent Learning Objective Reparameterization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.09797","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:f7d04c83ea2876fa510cc13dc8bf7eee136c2b07d457e2121ac0c7754d26fa40","target":"record","created_at":"2026-07-05T09:52:57Z","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":"981e29c7c60ed66ad7c9fd71a1c572c67ca6d4da53f914bb6fac313e9e861a32","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-19T07:31:37Z","title_canon_sha256":"57b6cb515c6d725e44a86bb4666d168cdf085f5b9c08355474b4aa64963a9a17"},"schema_version":"1.0","source":{"id":"2307.09797","kind":"arxiv","version":4}},"canonical_sha256":"56765eb3e75e3ad4270314f70f651070aa55c499c7a8a703d6550ab98a0e7571","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"56765eb3e75e3ad4270314f70f651070aa55c499c7a8a703d6550ab98a0e7571","first_computed_at":"2026-07-05T09:52:57.120072Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:52:57.120072Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5sQON8U8YhtMp0u8PDs+5jSOCyMMnGB75w++WTjKEXNqKT9jmtK5o5KPjxvMlhFZ7EAKQyGll1iAXafNgMCIDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:52:57.120648Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.09797","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f7d04c83ea2876fa510cc13dc8bf7eee136c2b07d457e2121ac0c7754d26fa40","sha256:93f31f7b1d39203b2d3e29020267c08839727d8a6c615178e1e0d17fe7114771"],"state_sha256":"ba64b1f0a97e13d34a298a8b7a48a417312a83dcd360dc80535112e388f81e81"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+ZRsZzG+qHZuwztAsUh2yCMadB2Hg3oXBRj8OxfZxYw/FQiiRtjNN1NdqJd3xnEoE0GXI0El8SgOrysCNqo9Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T19:03:52.524219Z","bundle_sha256":"82fd1413e5c9c4e63485ea32f63893e7a2a3893eea21971128246a589cf5f57d"}}