{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:E2ETLJUJSK7Y4DINC4CWCCOWHZ","short_pith_number":"pith:E2ETLJUJ","canonical_record":{"source":{"id":"2312.13501","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2023-12-21T00:35:42Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"9c9132c45c5e9ef3a2de40d64b9a11d5f00b0fa9bb29cb18bb8f86091fd004aa","abstract_canon_sha256":"e068c374d62230f40547c5b09a65d4c58ff60336e20c743e837c69b8c2e8e789"},"schema_version":"1.0"},"canonical_sha256":"268935a68992bf8e0d0d17056109d63e7c0b37573e9682bd2285d63c64c27b4a","source":{"kind":"arxiv","id":"2312.13501","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.13501","created_at":"2026-07-05T07:26:45Z"},{"alias_kind":"arxiv_version","alias_value":"2312.13501v1","created_at":"2026-07-05T07:26:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.13501","created_at":"2026-07-05T07:26:45Z"},{"alias_kind":"pith_short_12","alias_value":"E2ETLJUJSK7Y","created_at":"2026-07-05T07:26:45Z"},{"alias_kind":"pith_short_16","alias_value":"E2ETLJUJSK7Y4DIN","created_at":"2026-07-05T07:26:45Z"},{"alias_kind":"pith_short_8","alias_value":"E2ETLJUJ","created_at":"2026-07-05T07:26:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:E2ETLJUJSK7Y4DINC4CWCCOWHZ","target":"record","payload":{"canonical_record":{"source":{"id":"2312.13501","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2023-12-21T00:35:42Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"9c9132c45c5e9ef3a2de40d64b9a11d5f00b0fa9bb29cb18bb8f86091fd004aa","abstract_canon_sha256":"e068c374d62230f40547c5b09a65d4c58ff60336e20c743e837c69b8c2e8e789"},"schema_version":"1.0"},"canonical_sha256":"268935a68992bf8e0d0d17056109d63e7c0b37573e9682bd2285d63c64c27b4a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:26:45.465878Z","signature_b64":"Mt4d2EkTEKS+DnCh6h6+ifkhaFYAZa7CYwZlejk3v5ai1xFe8hNR0KOfU3iMRdeqhZAryFIubc1aExNrrBtKBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"268935a68992bf8e0d0d17056109d63e7c0b37573e9682bd2285d63c64c27b4a","last_reissued_at":"2026-07-05T07:26:45.465412Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:26:45.465412Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.13501","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":"2026-07-05T07:26:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ablXnMxb/6hbmW4E6rnYxzyrbmTVGb4HWTt+Y0tdWf6U7HN6LlfuXE9jti4g4P+Q5tRLpqvsnLCUXs3eOcEQCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T13:25:25.121505Z"},"content_sha256":"48b78a92601ed67a37b6ece2cfdeca1a850eb82f1b7800daad0abb5909565a0e","schema_version":"1.0","event_id":"sha256:48b78a92601ed67a37b6ece2cfdeca1a850eb82f1b7800daad0abb5909565a0e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:E2ETLJUJSK7Y4DINC4CWCCOWHZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adaptive Decision-Objective Loss for Forecast-then-Optimize in Power Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Haipeng Zhang, Mingyang Sun, Ran Li, Teng Fei","submitted_at":"2023-12-21T00:35:42Z","abstract_excerpt":"Forecast-then-optimize is a widely-used framework for decision-making problems in power systems. Traditionally, statistical losses have been employed to train forecasting models, but recent research demonstrated that improved decision utility in downstream optimization tasks can be achieved by using decision loss as an alternative. However, the implementation of decision loss in power systems faces challenges in 1) accommodating multi-stage decision-making problems where upstream optimality cannot guarantee final optimality; 2) adapting to dynamic environments such as changing parameters and n"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.13501","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/2312.13501/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":"2026-07-05T07:26:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O+SG5kOs3e8KNewHPUrcrrN7CvuXIkeibP1czQHJrzUhv+tuHvgog8TiklDdUvo3qceczp0rNWAqD8alO4a0Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T13:25:25.122378Z"},"content_sha256":"36327e4a276b84a446cc0677a903bf44bef33c160672a2da0a069164dd35361d","schema_version":"1.0","event_id":"sha256:36327e4a276b84a446cc0677a903bf44bef33c160672a2da0a069164dd35361d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E2ETLJUJSK7Y4DINC4CWCCOWHZ/bundle.json","state_url":"https://pith.science/pith/E2ETLJUJSK7Y4DINC4CWCCOWHZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E2ETLJUJSK7Y4DINC4CWCCOWHZ/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":"2026-08-06T13:25:25Z","links":{"resolver":"https://pith.science/pith/E2ETLJUJSK7Y4DINC4CWCCOWHZ","bundle":"https://pith.science/pith/E2ETLJUJSK7Y4DINC4CWCCOWHZ/bundle.json","state":"https://pith.science/pith/E2ETLJUJSK7Y4DINC4CWCCOWHZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E2ETLJUJSK7Y4DINC4CWCCOWHZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:E2ETLJUJSK7Y4DINC4CWCCOWHZ","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":"e068c374d62230f40547c5b09a65d4c58ff60336e20c743e837c69b8c2e8e789","cross_cats_sorted":["cs.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2023-12-21T00:35:42Z","title_canon_sha256":"9c9132c45c5e9ef3a2de40d64b9a11d5f00b0fa9bb29cb18bb8f86091fd004aa"},"schema_version":"1.0","source":{"id":"2312.13501","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.13501","created_at":"2026-07-05T07:26:45Z"},{"alias_kind":"arxiv_version","alias_value":"2312.13501v1","created_at":"2026-07-05T07:26:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.13501","created_at":"2026-07-05T07:26:45Z"},{"alias_kind":"pith_short_12","alias_value":"E2ETLJUJSK7Y","created_at":"2026-07-05T07:26:45Z"},{"alias_kind":"pith_short_16","alias_value":"E2ETLJUJSK7Y4DIN","created_at":"2026-07-05T07:26:45Z"},{"alias_kind":"pith_short_8","alias_value":"E2ETLJUJ","created_at":"2026-07-05T07:26:45Z"}],"graph_snapshots":[{"event_id":"sha256:36327e4a276b84a446cc0677a903bf44bef33c160672a2da0a069164dd35361d","target":"graph","created_at":"2026-07-05T07:26:45Z","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/2312.13501/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Forecast-then-optimize is a widely-used framework for decision-making problems in power systems. Traditionally, statistical losses have been employed to train forecasting models, but recent research demonstrated that improved decision utility in downstream optimization tasks can be achieved by using decision loss as an alternative. However, the implementation of decision loss in power systems faces challenges in 1) accommodating multi-stage decision-making problems where upstream optimality cannot guarantee final optimality; 2) adapting to dynamic environments such as changing parameters and n","authors_text":"Haipeng Zhang, Mingyang Sun, Ran Li, Teng Fei","cross_cats":["cs.SY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2023-12-21T00:35:42Z","title":"Adaptive Decision-Objective Loss for Forecast-then-Optimize in Power Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.13501","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":"sha256:48b78a92601ed67a37b6ece2cfdeca1a850eb82f1b7800daad0abb5909565a0e","target":"record","created_at":"2026-07-05T07:26:45Z","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":"e068c374d62230f40547c5b09a65d4c58ff60336e20c743e837c69b8c2e8e789","cross_cats_sorted":["cs.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2023-12-21T00:35:42Z","title_canon_sha256":"9c9132c45c5e9ef3a2de40d64b9a11d5f00b0fa9bb29cb18bb8f86091fd004aa"},"schema_version":"1.0","source":{"id":"2312.13501","kind":"arxiv","version":1}},"canonical_sha256":"268935a68992bf8e0d0d17056109d63e7c0b37573e9682bd2285d63c64c27b4a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"268935a68992bf8e0d0d17056109d63e7c0b37573e9682bd2285d63c64c27b4a","first_computed_at":"2026-07-05T07:26:45.465412Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:26:45.465412Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Mt4d2EkTEKS+DnCh6h6+ifkhaFYAZa7CYwZlejk3v5ai1xFe8hNR0KOfU3iMRdeqhZAryFIubc1aExNrrBtKBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:26:45.465878Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.13501","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:48b78a92601ed67a37b6ece2cfdeca1a850eb82f1b7800daad0abb5909565a0e","sha256:36327e4a276b84a446cc0677a903bf44bef33c160672a2da0a069164dd35361d"],"state_sha256":"2c13e44610e954ef3b9b09daabffd3ffc77f5e7d0f67f034fa8ff1cde12b16c0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2lFQ02nIffi4nPZV59Wf5MrKzwK+EWbi6O59c9fAHNHMN2rLAjs0vDQc5V4x+mdINxjC27vGnfbGiStSTI2VCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T13:25:25.127539Z","bundle_sha256":"2caff06cd9ce498fa224eed4c27e795ea353057707a2f2d203b64cabbf3b33e3"}}