{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:HB7C3N3DDIK27BHMJENITFWDVP","short_pith_number":"pith:HB7C3N3D","canonical_record":{"source":{"id":"2507.11729","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-15T20:58:14Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ca1984625c7b59f0098b60dc178574323447cb31e2fbbbf0cb0d3d4b1b38174f","abstract_canon_sha256":"05f090174b030dd9d34291ba9088b2f8c4b5e8aa67df9f850e896ccdf4900269"},"schema_version":"1.0"},"canonical_sha256":"387e2db7631a15af84ec491a8996c3abeaacda1ca3cbc90b5ef9e1eaf0f26d89","source":{"kind":"arxiv","id":"2507.11729","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.11729","created_at":"2026-07-05T11:37:49Z"},{"alias_kind":"arxiv_version","alias_value":"2507.11729v1","created_at":"2026-07-05T11:37:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.11729","created_at":"2026-07-05T11:37:49Z"},{"alias_kind":"pith_short_12","alias_value":"HB7C3N3DDIK2","created_at":"2026-07-05T11:37:49Z"},{"alias_kind":"pith_short_16","alias_value":"HB7C3N3DDIK27BHM","created_at":"2026-07-05T11:37:49Z"},{"alias_kind":"pith_short_8","alias_value":"HB7C3N3D","created_at":"2026-07-05T11:37:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:HB7C3N3DDIK27BHMJENITFWDVP","target":"record","payload":{"canonical_record":{"source":{"id":"2507.11729","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-15T20:58:14Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ca1984625c7b59f0098b60dc178574323447cb31e2fbbbf0cb0d3d4b1b38174f","abstract_canon_sha256":"05f090174b030dd9d34291ba9088b2f8c4b5e8aa67df9f850e896ccdf4900269"},"schema_version":"1.0"},"canonical_sha256":"387e2db7631a15af84ec491a8996c3abeaacda1ca3cbc90b5ef9e1eaf0f26d89","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:37:49.469203Z","signature_b64":"5cFSuMmZ+5wY4P5Xm/svKU3cVVmAzuKvBXPgxOjnXU+7HFNVwOKEXBQilJxRBo6eMia/kOrSpbA5CAgvzcUjBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"387e2db7631a15af84ec491a8996c3abeaacda1ca3cbc90b5ef9e1eaf0f26d89","last_reissued_at":"2026-07-05T11:37:49.468651Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:37:49.468651Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.11729","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":"2026-07-05T11:37:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"isZQ4hgp3Vu/tdLtnRgxloRQG3pP4uyqLPs+X9b1IGlbW85oc2IVGYQWi5lOwj094nzTTP9Ed24Waf0Sw/2zDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T03:33:44.895013Z"},"content_sha256":"a9e1b60d50700f824d39f13691b3da25a209b61034561312556a4ad603e399e8","schema_version":"1.0","event_id":"sha256:a9e1b60d50700f824d39f13691b3da25a209b61034561312556a4ad603e399e8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:HB7C3N3DDIK27BHMJENITFWDVP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Globalization for Scalable Short-term Load Forecasting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Amirhossein Ahmadi, Hamidreza Zareipour, Henry Leung","submitted_at":"2025-07-15T20:58:14Z","abstract_excerpt":"Forecasting load in power transmission networks is essential across various hierarchical levels, from the system level down to individual points of delivery (PoD). While intuitive and locally accurate, traditional local forecasting models (LFMs) face significant limitations, particularly in handling generalizability, overfitting, data drift, and the cold start problem. These methods also struggle with scalability, becoming computationally expensive and less efficient as the network's size and data volume grow. In contrast, global forecasting models (GFMs) offer a new approach to enhance predic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.11729","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/2507.11729/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":"2026-07-05T11:37:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m/W5njccJGNYKQt6K5kS4Y5yHQMOkKrQcffwfv9jkd/+DbynUM+NLCyBeaBHXslJmjsimTRsoeZvC9CudpdNDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T03:33:44.895590Z"},"content_sha256":"c683f4dded45d0b687907dd5bf96e896ed7428e6f96318c94e82064d87195852","schema_version":"1.0","event_id":"sha256:c683f4dded45d0b687907dd5bf96e896ed7428e6f96318c94e82064d87195852"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HB7C3N3DDIK27BHMJENITFWDVP/bundle.json","state_url":"https://pith.science/pith/HB7C3N3DDIK27BHMJENITFWDVP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HB7C3N3DDIK27BHMJENITFWDVP/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":"2026-08-07T03:33:44Z","links":{"resolver":"https://pith.science/pith/HB7C3N3DDIK27BHMJENITFWDVP","bundle":"https://pith.science/pith/HB7C3N3DDIK27BHMJENITFWDVP/bundle.json","state":"https://pith.science/pith/HB7C3N3DDIK27BHMJENITFWDVP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HB7C3N3DDIK27BHMJENITFWDVP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HB7C3N3DDIK27BHMJENITFWDVP","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":"05f090174b030dd9d34291ba9088b2f8c4b5e8aa67df9f850e896ccdf4900269","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-15T20:58:14Z","title_canon_sha256":"ca1984625c7b59f0098b60dc178574323447cb31e2fbbbf0cb0d3d4b1b38174f"},"schema_version":"1.0","source":{"id":"2507.11729","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.11729","created_at":"2026-07-05T11:37:49Z"},{"alias_kind":"arxiv_version","alias_value":"2507.11729v1","created_at":"2026-07-05T11:37:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.11729","created_at":"2026-07-05T11:37:49Z"},{"alias_kind":"pith_short_12","alias_value":"HB7C3N3DDIK2","created_at":"2026-07-05T11:37:49Z"},{"alias_kind":"pith_short_16","alias_value":"HB7C3N3DDIK27BHM","created_at":"2026-07-05T11:37:49Z"},{"alias_kind":"pith_short_8","alias_value":"HB7C3N3D","created_at":"2026-07-05T11:37:49Z"}],"graph_snapshots":[{"event_id":"sha256:c683f4dded45d0b687907dd5bf96e896ed7428e6f96318c94e82064d87195852","target":"graph","created_at":"2026-07-05T11:37:49Z","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/2507.11729/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Forecasting load in power transmission networks is essential across various hierarchical levels, from the system level down to individual points of delivery (PoD). While intuitive and locally accurate, traditional local forecasting models (LFMs) face significant limitations, particularly in handling generalizability, overfitting, data drift, and the cold start problem. These methods also struggle with scalability, becoming computationally expensive and less efficient as the network's size and data volume grow. In contrast, global forecasting models (GFMs) offer a new approach to enhance predic","authors_text":"Amirhossein Ahmadi, Hamidreza Zareipour, Henry Leung","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-15T20:58:14Z","title":"Globalization for Scalable Short-term Load Forecasting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.11729","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:a9e1b60d50700f824d39f13691b3da25a209b61034561312556a4ad603e399e8","target":"record","created_at":"2026-07-05T11:37:49Z","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":"05f090174b030dd9d34291ba9088b2f8c4b5e8aa67df9f850e896ccdf4900269","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-15T20:58:14Z","title_canon_sha256":"ca1984625c7b59f0098b60dc178574323447cb31e2fbbbf0cb0d3d4b1b38174f"},"schema_version":"1.0","source":{"id":"2507.11729","kind":"arxiv","version":1}},"canonical_sha256":"387e2db7631a15af84ec491a8996c3abeaacda1ca3cbc90b5ef9e1eaf0f26d89","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"387e2db7631a15af84ec491a8996c3abeaacda1ca3cbc90b5ef9e1eaf0f26d89","first_computed_at":"2026-07-05T11:37:49.468651Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:37:49.468651Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5cFSuMmZ+5wY4P5Xm/svKU3cVVmAzuKvBXPgxOjnXU+7HFNVwOKEXBQilJxRBo6eMia/kOrSpbA5CAgvzcUjBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:37:49.469203Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.11729","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a9e1b60d50700f824d39f13691b3da25a209b61034561312556a4ad603e399e8","sha256:c683f4dded45d0b687907dd5bf96e896ed7428e6f96318c94e82064d87195852"],"state_sha256":"56662770708b2a295a4e218b9c46e286f7b491bc97272a1c73c02eb8f9088506"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1uJRLOaF+p3y46SOe8u0F4pzr2nd7ptaZeACV42yAU9u/LBnbR5nJwkq+i9ZDHOFODo/pimclhimWofSbzW3AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T03:33:44.899663Z","bundle_sha256":"703c6d6e00139fb66743504dd743c5206dead1fbbccf338365a3365589367d58"}}