{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:GRTJWNAIWSWJJ6FXZVF5UEZY4B","short_pith_number":"pith:GRTJWNAI","canonical_record":{"source":{"id":"2502.08102","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.CO","submitted_at":"2025-02-12T03:59:18Z","cross_cats_sorted":[],"title_canon_sha256":"1ceb660a9dd85c16bac6f4c81b0a940d65bbf20552ea070a1dbacb2ddac22900","abstract_canon_sha256":"bfbc9dccbaae5c330a4e75f147f948fd87842f1c7ecbcad0b33f1e707a77f857"},"schema_version":"1.0"},"canonical_sha256":"34669b3408b4ac94f8b7cd4bda1338e06fe4878e65657568064a07aa743a3c59","source":{"kind":"arxiv","id":"2502.08102","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.08102","created_at":"2026-07-05T10:13:15Z"},{"alias_kind":"arxiv_version","alias_value":"2502.08102v1","created_at":"2026-07-05T10:13:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.08102","created_at":"2026-07-05T10:13:15Z"},{"alias_kind":"pith_short_12","alias_value":"GRTJWNAIWSWJ","created_at":"2026-07-05T10:13:15Z"},{"alias_kind":"pith_short_16","alias_value":"GRTJWNAIWSWJJ6FX","created_at":"2026-07-05T10:13:15Z"},{"alias_kind":"pith_short_8","alias_value":"GRTJWNAI","created_at":"2026-07-05T10:13:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:GRTJWNAIWSWJJ6FXZVF5UEZY4B","target":"record","payload":{"canonical_record":{"source":{"id":"2502.08102","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.CO","submitted_at":"2025-02-12T03:59:18Z","cross_cats_sorted":[],"title_canon_sha256":"1ceb660a9dd85c16bac6f4c81b0a940d65bbf20552ea070a1dbacb2ddac22900","abstract_canon_sha256":"bfbc9dccbaae5c330a4e75f147f948fd87842f1c7ecbcad0b33f1e707a77f857"},"schema_version":"1.0"},"canonical_sha256":"34669b3408b4ac94f8b7cd4bda1338e06fe4878e65657568064a07aa743a3c59","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:13:15.345326Z","signature_b64":"lcHggfEg/NscP77G6FNlgID6NZxnSQpFv8XzwnqCijAEKWno7ke84tIcgOcMsD2CsAhB81Qb2Eeg3haOkEScCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"34669b3408b4ac94f8b7cd4bda1338e06fe4878e65657568064a07aa743a3c59","last_reissued_at":"2026-07-05T10:13:15.344810Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:13:15.344810Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.08102","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":"2026-07-05T10:13:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qOWWBFUcaZJ8Kq+7rViX28un4VLBEZrbG7zlQXJBSRm3Mw+sLQ2hjWl20OxfRRTvsbEy66PyboSy04Zf9pgKCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T09:18:48.247530Z"},"content_sha256":"c87f697fc8380eec4f1d4cf1ff4f3c4b5063a98108e2385601e856c28804be56","schema_version":"1.0","event_id":"sha256:c87f697fc8380eec4f1d4cf1ff4f3c4b5063a98108e2385601e856c28804be56"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:GRTJWNAIWSWJJ6FXZVF5UEZY4B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Resampling Methods that Generate Time Series Data to Enable Sensitivity and Model Analysis in Energy Modeling","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.CO","authors_text":"Kelly Wang, Steven O. Kimbrough","submitted_at":"2025-02-12T03:59:18Z","abstract_excerpt":"Energy systems modeling frequently relies on time series data, whether observed or forecast. This is particularly the case, for example, in capacity planning models that use hourly production and load data forecast to occur over the coming several decades. This paper addresses the attendant problem of performing sensitivity, robustness, and other post-solution analyses using time series data. We explore two efficient and relatively simple, non-parametric, bootstrapping methods for generating arbitrary numbers of time series from a single observed or forecast series. The paper presents and asse"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.08102","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/2502.08102/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":"2026-07-05T10:13:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9RymKfG+prVfCEGf0QBMx/YSz/jC+oTVcS0pVs7LqRD3+hKt4q3XWEpY7HQRMI/32gT7EVPsyE+oCG712fevCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T09:18:48.248033Z"},"content_sha256":"91a8878b8ed803da95df321558443a8083f8e9bbb034589030415e85f3836cf8","schema_version":"1.0","event_id":"sha256:91a8878b8ed803da95df321558443a8083f8e9bbb034589030415e85f3836cf8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GRTJWNAIWSWJJ6FXZVF5UEZY4B/bundle.json","state_url":"https://pith.science/pith/GRTJWNAIWSWJJ6FXZVF5UEZY4B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GRTJWNAIWSWJJ6FXZVF5UEZY4B/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":"2026-08-09T09:18:48Z","links":{"resolver":"https://pith.science/pith/GRTJWNAIWSWJJ6FXZVF5UEZY4B","bundle":"https://pith.science/pith/GRTJWNAIWSWJJ6FXZVF5UEZY4B/bundle.json","state":"https://pith.science/pith/GRTJWNAIWSWJJ6FXZVF5UEZY4B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GRTJWNAIWSWJJ6FXZVF5UEZY4B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GRTJWNAIWSWJJ6FXZVF5UEZY4B","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":"bfbc9dccbaae5c330a4e75f147f948fd87842f1c7ecbcad0b33f1e707a77f857","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.CO","submitted_at":"2025-02-12T03:59:18Z","title_canon_sha256":"1ceb660a9dd85c16bac6f4c81b0a940d65bbf20552ea070a1dbacb2ddac22900"},"schema_version":"1.0","source":{"id":"2502.08102","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.08102","created_at":"2026-07-05T10:13:15Z"},{"alias_kind":"arxiv_version","alias_value":"2502.08102v1","created_at":"2026-07-05T10:13:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.08102","created_at":"2026-07-05T10:13:15Z"},{"alias_kind":"pith_short_12","alias_value":"GRTJWNAIWSWJ","created_at":"2026-07-05T10:13:15Z"},{"alias_kind":"pith_short_16","alias_value":"GRTJWNAIWSWJJ6FX","created_at":"2026-07-05T10:13:15Z"},{"alias_kind":"pith_short_8","alias_value":"GRTJWNAI","created_at":"2026-07-05T10:13:15Z"}],"graph_snapshots":[{"event_id":"sha256:91a8878b8ed803da95df321558443a8083f8e9bbb034589030415e85f3836cf8","target":"graph","created_at":"2026-07-05T10:13:15Z","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/2502.08102/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Energy systems modeling frequently relies on time series data, whether observed or forecast. This is particularly the case, for example, in capacity planning models that use hourly production and load data forecast to occur over the coming several decades. This paper addresses the attendant problem of performing sensitivity, robustness, and other post-solution analyses using time series data. We explore two efficient and relatively simple, non-parametric, bootstrapping methods for generating arbitrary numbers of time series from a single observed or forecast series. The paper presents and asse","authors_text":"Kelly Wang, Steven O. Kimbrough","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.CO","submitted_at":"2025-02-12T03:59:18Z","title":"Resampling Methods that Generate Time Series Data to Enable Sensitivity and Model Analysis in Energy Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.08102","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:c87f697fc8380eec4f1d4cf1ff4f3c4b5063a98108e2385601e856c28804be56","target":"record","created_at":"2026-07-05T10:13:15Z","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":"bfbc9dccbaae5c330a4e75f147f948fd87842f1c7ecbcad0b33f1e707a77f857","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.CO","submitted_at":"2025-02-12T03:59:18Z","title_canon_sha256":"1ceb660a9dd85c16bac6f4c81b0a940d65bbf20552ea070a1dbacb2ddac22900"},"schema_version":"1.0","source":{"id":"2502.08102","kind":"arxiv","version":1}},"canonical_sha256":"34669b3408b4ac94f8b7cd4bda1338e06fe4878e65657568064a07aa743a3c59","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"34669b3408b4ac94f8b7cd4bda1338e06fe4878e65657568064a07aa743a3c59","first_computed_at":"2026-07-05T10:13:15.344810Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:13:15.344810Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lcHggfEg/NscP77G6FNlgID6NZxnSQpFv8XzwnqCijAEKWno7ke84tIcgOcMsD2CsAhB81Qb2Eeg3haOkEScCg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:13:15.345326Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.08102","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c87f697fc8380eec4f1d4cf1ff4f3c4b5063a98108e2385601e856c28804be56","sha256:91a8878b8ed803da95df321558443a8083f8e9bbb034589030415e85f3836cf8"],"state_sha256":"d04b8b213e7f5f6e1b51849b83ed2983daf424926eeb29f7f55cf5d5e8837a92"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sLl8x5CJnJ8tuBDTML0B1N+BUBJuBCjiadEYT82SXpyyOq7MeQTEcSxZJgyh9Nnm9N66u96Y+la9WpNI3VNvCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T09:18:48.251741Z","bundle_sha256":"cb3a664504e03e8247438a2ff52fe931071572aa80c7ac775640bc6aa702a40f"}}