{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:PH6RS477TJMNF5X7SALSB6IHHO","short_pith_number":"pith:PH6RS477","schema_version":"1.0","canonical_sha256":"79fd1973ff9a58d2f6ff901720f9073b8dc3b86eab5f11cef1e52b2963bf210c","source":{"kind":"arxiv","id":"2608.11359","version":1},"attestation_state":"computed","paper":{"title":"Market-Information-Aware Gated-LoRA of Foundation Models for Transferable Day-Ahead Electricity Price Forecasting","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Hang Fan, Shengwei Mei, Wei Wei","submitted_at":"2026-08-11T19:11:32Z","abstract_excerpt":"Electricity price forecasting is crucial for market participants but remains difficult because prices are volatile, market-specific, and closely tied to anticipated system conditions. Existing supervised methods depend largely on market-specific historical data, limiting their use in newly established or data-scarce markets. This paper proposes a market-information-aware adaptation framework that transfers the Chronos-2 time-series foundation model to day-ahead electricity price forecasting. It first constructs a multi-source market information (MSMI) interface aligning 7-day price context wit"},"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":"2608.11359","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-11T19:11:32Z","cross_cats_sorted":[],"title_canon_sha256":"076223bf37ea97a4f73b3511fcc070a473597d6dc0633fe32d98b0bc38dd5199","abstract_canon_sha256":"71bb58a24da3613c52722473031403319fb83248c5d8c937c079f51eb932b823"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-13T00:21:40.803670Z","signature_b64":"RQyFS1Vg4ZjD7+dVzVrt5GqMvkQN/30CoGIVYvACaJM437XW9n2wk1ho701brsZ6MRL10LAezNLD0W5iXUCUDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"79fd1973ff9a58d2f6ff901720f9073b8dc3b86eab5f11cef1e52b2963bf210c","last_reissued_at":"2026-08-13T00:21:40.802209Z","signature_status":"signed_v1","first_computed_at":"2026-08-13T00:21:40.802209Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Market-Information-Aware Gated-LoRA of Foundation Models for Transferable Day-Ahead Electricity Price Forecasting","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Hang Fan, Shengwei Mei, Wei Wei","submitted_at":"2026-08-11T19:11:32Z","abstract_excerpt":"Electricity price forecasting is crucial for market participants but remains difficult because prices are volatile, market-specific, and closely tied to anticipated system conditions. Existing supervised methods depend largely on market-specific historical data, limiting their use in newly established or data-scarce markets. This paper proposes a market-information-aware adaptation framework that transfers the Chronos-2 time-series foundation model to day-ahead electricity price forecasting. It first constructs a multi-source market information (MSMI) interface aligning 7-day price context wit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.11359","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/2608.11359/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":"2608.11359","created_at":"2026-08-13T00:21:40.802506+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.11359v1","created_at":"2026-08-13T00:21:40.802506+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.11359","created_at":"2026-08-13T00:21:40.802506+00:00"},{"alias_kind":"pith_short_12","alias_value":"PH6RS477TJMN","created_at":"2026-08-13T00:21:40.802506+00:00"},{"alias_kind":"pith_short_16","alias_value":"PH6RS477TJMNF5X7","created_at":"2026-08-13T00:21:40.802506+00:00"},{"alias_kind":"pith_short_8","alias_value":"PH6RS477","created_at":"2026-08-13T00:21:40.802506+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/PH6RS477TJMNF5X7SALSB6IHHO","json":"https://pith.science/pith/PH6RS477TJMNF5X7SALSB6IHHO.json","graph_json":"https://pith.science/api/pith-number/PH6RS477TJMNF5X7SALSB6IHHO/graph.json","events_json":"https://pith.science/api/pith-number/PH6RS477TJMNF5X7SALSB6IHHO/events.json","paper":"https://pith.science/paper/PH6RS477"},"agent_actions":{"view_html":"https://pith.science/pith/PH6RS477TJMNF5X7SALSB6IHHO","download_json":"https://pith.science/pith/PH6RS477TJMNF5X7SALSB6IHHO.json","view_paper":"https://pith.science/paper/PH6RS477","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.11359&json=true","fetch_graph":"https://pith.science/api/pith-number/PH6RS477TJMNF5X7SALSB6IHHO/graph.json","fetch_events":"https://pith.science/api/pith-number/PH6RS477TJMNF5X7SALSB6IHHO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PH6RS477TJMNF5X7SALSB6IHHO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PH6RS477TJMNF5X7SALSB6IHHO/action/storage_attestation","attest_author":"https://pith.science/pith/PH6RS477TJMNF5X7SALSB6IHHO/action/author_attestation","sign_citation":"https://pith.science/pith/PH6RS477TJMNF5X7SALSB6IHHO/action/citation_signature","submit_replication":"https://pith.science/pith/PH6RS477TJMNF5X7SALSB6IHHO/action/replication_record"}},"created_at":"2026-08-13T00:21:40.802506+00:00","updated_at":"2026-08-13T00:21:40.802506+00:00"}