{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:FG7ZF5PQDWLSBBO7EZOJDJFOO6","short_pith_number":"pith:FG7ZF5PQ","canonical_record":{"source":{"id":"2412.00419","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-30T10:13:57Z","cross_cats_sorted":["eess.SP","stat.ML"],"title_canon_sha256":"74f990acde7aaf25b3931bf06e2c40d8e360c9aaaf81045c6f52b7e962e7d407","abstract_canon_sha256":"b8b9e7f431e0a7e48049dedb403e4d531b16fb9190f23ff5bbafc9cf7ecfd55a"},"schema_version":"1.0"},"canonical_sha256":"29bf92f5f01d972085df265c91a4ae77b7c8b4ffd9f407158cf9a269f7673176","source":{"kind":"arxiv","id":"2412.00419","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.00419","created_at":"2026-07-05T09:42:41Z"},{"alias_kind":"arxiv_version","alias_value":"2412.00419v1","created_at":"2026-07-05T09:42:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.00419","created_at":"2026-07-05T09:42:41Z"},{"alias_kind":"pith_short_12","alias_value":"FG7ZF5PQDWLS","created_at":"2026-07-05T09:42:41Z"},{"alias_kind":"pith_short_16","alias_value":"FG7ZF5PQDWLSBBO7","created_at":"2026-07-05T09:42:41Z"},{"alias_kind":"pith_short_8","alias_value":"FG7ZF5PQ","created_at":"2026-07-05T09:42:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:FG7ZF5PQDWLSBBO7EZOJDJFOO6","target":"record","payload":{"canonical_record":{"source":{"id":"2412.00419","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-30T10:13:57Z","cross_cats_sorted":["eess.SP","stat.ML"],"title_canon_sha256":"74f990acde7aaf25b3931bf06e2c40d8e360c9aaaf81045c6f52b7e962e7d407","abstract_canon_sha256":"b8b9e7f431e0a7e48049dedb403e4d531b16fb9190f23ff5bbafc9cf7ecfd55a"},"schema_version":"1.0"},"canonical_sha256":"29bf92f5f01d972085df265c91a4ae77b7c8b4ffd9f407158cf9a269f7673176","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:42:41.139359Z","signature_b64":"wpJC7JzipuZ31VMMLNeJNdXl1yKEu9M/7jDvGyIJmMAksJ3kL77AA3UMpH3BwzEvlfCBlxQzPWih8k+Yl/ePAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"29bf92f5f01d972085df265c91a4ae77b7c8b4ffd9f407158cf9a269f7673176","last_reissued_at":"2026-07-05T09:42:41.138878Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:42:41.138878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.00419","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":"2026-07-05T09:42:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eqQDaqYrAnqB5RhagZuZ1mFHEg4AQs2ul9Du3xo8GHjPmBbe7R1t+pOjyMxL/MFdO0oQiCZ3+4JD1VvCHFaFCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T21:17:43.984786Z"},"content_sha256":"9d80cfe200f6507b5557fc7ae3e663af5797ce569c033e09eade177d1b5bb16c","schema_version":"1.0","event_id":"sha256:9d80cfe200f6507b5557fc7ae3e663af5797ce569c033e09eade177d1b5bb16c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:FG7ZF5PQDWLSBBO7EZOJDJFOO6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.SP","stat.ML"],"primary_cat":"cs.LG","authors_text":"Kaleb Phipps, Marie Weiel, Markus G\\\"otz, Oskar Taubert, Ralf Mikut, Stefan Meisenbacher, Veit Hagenmeyer","submitted_at":"2024-11-30T10:13:57Z","abstract_excerpt":"Optimizing smart grid operations relies on critical decision-making informed by uncertainty quantification, making probabilistic forecasting a vital tool. Designing such forecasting models involves three key challenges: accurate and unbiased uncertainty quantification, workload reduction for data scientists during the design process, and limitation of the environmental impact of model training. In order to address these challenges, we introduce AutoPQ, a novel method designed to automate and optimize probabilistic forecasting for smart grid applications. AutoPQ enhances forecast uncertainty qu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.00419","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2412.00419/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":"2026-07-05T09:42:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FFblZjMaAqzMsUfyxFNadgJAGIygimmGepBU55A7mZrBn3iRQhv0/gz9oq/0393PYHQMvjS+iINQoovEjGl2BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T21:17:43.985165Z"},"content_sha256":"732d9446a305dd74a0d3ee295ffcf463b4d03407949f5e4d0b5ad36c229c01a2","schema_version":"1.0","event_id":"sha256:732d9446a305dd74a0d3ee295ffcf463b4d03407949f5e4d0b5ad36c229c01a2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FG7ZF5PQDWLSBBO7EZOJDJFOO6/bundle.json","state_url":"https://pith.science/pith/FG7ZF5PQDWLSBBO7EZOJDJFOO6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FG7ZF5PQDWLSBBO7EZOJDJFOO6/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":"2026-07-18T21:17:43Z","links":{"resolver":"https://pith.science/pith/FG7ZF5PQDWLSBBO7EZOJDJFOO6","bundle":"https://pith.science/pith/FG7ZF5PQDWLSBBO7EZOJDJFOO6/bundle.json","state":"https://pith.science/pith/FG7ZF5PQDWLSBBO7EZOJDJFOO6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FG7ZF5PQDWLSBBO7EZOJDJFOO6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FG7ZF5PQDWLSBBO7EZOJDJFOO6","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":"b8b9e7f431e0a7e48049dedb403e4d531b16fb9190f23ff5bbafc9cf7ecfd55a","cross_cats_sorted":["eess.SP","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-30T10:13:57Z","title_canon_sha256":"74f990acde7aaf25b3931bf06e2c40d8e360c9aaaf81045c6f52b7e962e7d407"},"schema_version":"1.0","source":{"id":"2412.00419","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.00419","created_at":"2026-07-05T09:42:41Z"},{"alias_kind":"arxiv_version","alias_value":"2412.00419v1","created_at":"2026-07-05T09:42:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.00419","created_at":"2026-07-05T09:42:41Z"},{"alias_kind":"pith_short_12","alias_value":"FG7ZF5PQDWLS","created_at":"2026-07-05T09:42:41Z"},{"alias_kind":"pith_short_16","alias_value":"FG7ZF5PQDWLSBBO7","created_at":"2026-07-05T09:42:41Z"},{"alias_kind":"pith_short_8","alias_value":"FG7ZF5PQ","created_at":"2026-07-05T09:42:41Z"}],"graph_snapshots":[{"event_id":"sha256:732d9446a305dd74a0d3ee295ffcf463b4d03407949f5e4d0b5ad36c229c01a2","target":"graph","created_at":"2026-07-05T09:42:41Z","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/2412.00419/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Optimizing smart grid operations relies on critical decision-making informed by uncertainty quantification, making probabilistic forecasting a vital tool. Designing such forecasting models involves three key challenges: accurate and unbiased uncertainty quantification, workload reduction for data scientists during the design process, and limitation of the environmental impact of model training. In order to address these challenges, we introduce AutoPQ, a novel method designed to automate and optimize probabilistic forecasting for smart grid applications. AutoPQ enhances forecast uncertainty qu","authors_text":"Kaleb Phipps, Marie Weiel, Markus G\\\"otz, Oskar Taubert, Ralf Mikut, Stefan Meisenbacher, Veit Hagenmeyer","cross_cats":["eess.SP","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-30T10:13:57Z","title":"AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.00419","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":"sha256:9d80cfe200f6507b5557fc7ae3e663af5797ce569c033e09eade177d1b5bb16c","target":"record","created_at":"2026-07-05T09:42:41Z","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":"b8b9e7f431e0a7e48049dedb403e4d531b16fb9190f23ff5bbafc9cf7ecfd55a","cross_cats_sorted":["eess.SP","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-30T10:13:57Z","title_canon_sha256":"74f990acde7aaf25b3931bf06e2c40d8e360c9aaaf81045c6f52b7e962e7d407"},"schema_version":"1.0","source":{"id":"2412.00419","kind":"arxiv","version":1}},"canonical_sha256":"29bf92f5f01d972085df265c91a4ae77b7c8b4ffd9f407158cf9a269f7673176","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"29bf92f5f01d972085df265c91a4ae77b7c8b4ffd9f407158cf9a269f7673176","first_computed_at":"2026-07-05T09:42:41.138878Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:42:41.138878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wpJC7JzipuZ31VMMLNeJNdXl1yKEu9M/7jDvGyIJmMAksJ3kL77AA3UMpH3BwzEvlfCBlxQzPWih8k+Yl/ePAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:42:41.139359Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.00419","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9d80cfe200f6507b5557fc7ae3e663af5797ce569c033e09eade177d1b5bb16c","sha256:732d9446a305dd74a0d3ee295ffcf463b4d03407949f5e4d0b5ad36c229c01a2"],"state_sha256":"7fe7bd624c98a7be3f501a3303bf22ca7dc319d888a193870103e37644dde9c3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Edege1MG5CIrxaCX3AWbhCBlbEc5dNQ9hj02/dD/HsPUCsbzLJXF5jKkXPFbzS+6GGqbfb0YAObgBp5I5ikoAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-18T21:17:43.987777Z","bundle_sha256":"1b5c9d3339e645faf3c455b7acbe5dd1585bf5b02054bf0cc6aa18d98fc993f7"}}