{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:MWBLGUY5G4DAJV24FH2N3HVZU3","short_pith_number":"pith:MWBLGUY5","schema_version":"1.0","canonical_sha256":"6582b3531d370604d75c29f4dd9eb9a6ddb4d36720106af9398e56674cb5ac59","source":{"kind":"arxiv","id":"2607.07351","version":1},"attestation_state":"computed","paper":{"title":"When and How Should a Power Trader Engage in Arbitrage? Predict, then Contextually Optimize","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CE","authors_text":"Farzaneh Pourahmadi, Jalal Kazempour, Yannick Heiser","submitted_at":"2026-07-08T12:45:13Z","abstract_excerpt":"Electricity markets increasingly expose stochastic energy generators to arbitrage opportunities between the day-ahead and balancing markets, driven by widening price spreads. However, opportunistic bidding, deliberately deviating from the production forecast to exploit anticipated price spreads, carries significant risk, and existing frameworks rarely offer explainable, risk-aware decision support. We propose a predict-then-contextual-optimize framework that decomposes the day-ahead bidding decision into three explicit stages to decide, when to engage in arbitrage, in what direction, and to wh"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.07351","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CE","submitted_at":"2026-07-08T12:45:13Z","cross_cats_sorted":[],"title_canon_sha256":"f6082cbfdee02c05e863ddbb14b1a0619f69fd9ce517e7c44272f02f24b1a6d1","abstract_canon_sha256":"91b824cd8664344b5fbc16818787cfa3a89d350044382474046bc726b17dfe5d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-09T01:20:22.363435Z","signature_b64":"ZLCYG6Eqi1EtlLiRRBVOB4Y00Vc6OPzbZty2VDhEJk+Zt51KJoBW1iOiG55dO14SSPRDfS62Wb8cCioB7TH2Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6582b3531d370604d75c29f4dd9eb9a6ddb4d36720106af9398e56674cb5ac59","last_reissued_at":"2026-07-09T01:20:22.363005Z","signature_status":"signed_v1","first_computed_at":"2026-07-09T01:20:22.363005Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"When and How Should a Power Trader Engage in Arbitrage? Predict, then Contextually Optimize","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CE","authors_text":"Farzaneh Pourahmadi, Jalal Kazempour, Yannick Heiser","submitted_at":"2026-07-08T12:45:13Z","abstract_excerpt":"Electricity markets increasingly expose stochastic energy generators to arbitrage opportunities between the day-ahead and balancing markets, driven by widening price spreads. However, opportunistic bidding, deliberately deviating from the production forecast to exploit anticipated price spreads, carries significant risk, and existing frameworks rarely offer explainable, risk-aware decision support. We propose a predict-then-contextual-optimize framework that decomposes the day-ahead bidding decision into three explicit stages to decide, when to engage in arbitrage, in what direction, and to wh"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.07351","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/2607.07351/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.07351","created_at":"2026-07-09T01:20:22.363070+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.07351v1","created_at":"2026-07-09T01:20:22.363070+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.07351","created_at":"2026-07-09T01:20:22.363070+00:00"},{"alias_kind":"pith_short_12","alias_value":"MWBLGUY5G4DA","created_at":"2026-07-09T01:20:22.363070+00:00"},{"alias_kind":"pith_short_16","alias_value":"MWBLGUY5G4DAJV24","created_at":"2026-07-09T01:20:22.363070+00:00"},{"alias_kind":"pith_short_8","alias_value":"MWBLGUY5","created_at":"2026-07-09T01:20:22.363070+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/MWBLGUY5G4DAJV24FH2N3HVZU3","json":"https://pith.science/pith/MWBLGUY5G4DAJV24FH2N3HVZU3.json","graph_json":"https://pith.science/api/pith-number/MWBLGUY5G4DAJV24FH2N3HVZU3/graph.json","events_json":"https://pith.science/api/pith-number/MWBLGUY5G4DAJV24FH2N3HVZU3/events.json","paper":"https://pith.science/paper/MWBLGUY5"},"agent_actions":{"view_html":"https://pith.science/pith/MWBLGUY5G4DAJV24FH2N3HVZU3","download_json":"https://pith.science/pith/MWBLGUY5G4DAJV24FH2N3HVZU3.json","view_paper":"https://pith.science/paper/MWBLGUY5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.07351&json=true","fetch_graph":"https://pith.science/api/pith-number/MWBLGUY5G4DAJV24FH2N3HVZU3/graph.json","fetch_events":"https://pith.science/api/pith-number/MWBLGUY5G4DAJV24FH2N3HVZU3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MWBLGUY5G4DAJV24FH2N3HVZU3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MWBLGUY5G4DAJV24FH2N3HVZU3/action/storage_attestation","attest_author":"https://pith.science/pith/MWBLGUY5G4DAJV24FH2N3HVZU3/action/author_attestation","sign_citation":"https://pith.science/pith/MWBLGUY5G4DAJV24FH2N3HVZU3/action/citation_signature","submit_replication":"https://pith.science/pith/MWBLGUY5G4DAJV24FH2N3HVZU3/action/replication_record"}},"created_at":"2026-07-09T01:20:22.363070+00:00","updated_at":"2026-07-09T01:20:22.363070+00:00"}