{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:KBJI47LKB3JBB7O23FNFRPOFTI","short_pith_number":"pith:KBJI47LK","canonical_record":{"source":{"id":"2410.24162","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-31T17:20:13Z","cross_cats_sorted":[],"title_canon_sha256":"b16327dc3512a8b4da8efc9f69e7a280a3ca5020614946ce032d0f02d3b2afa0","abstract_canon_sha256":"7522bbe21bc4dbfccfa2e1388717bc604dded5be1e1f064b0f6cddbdaafc3742"},"schema_version":"1.0"},"canonical_sha256":"50528e7d6a0ed210fddad95a58bdc59a24ade06b823e255783e1582b12fa3954","source":{"kind":"arxiv","id":"2410.24162","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.24162","created_at":"2026-07-05T09:29:20Z"},{"alias_kind":"arxiv_version","alias_value":"2410.24162v1","created_at":"2026-07-05T09:29:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.24162","created_at":"2026-07-05T09:29:20Z"},{"alias_kind":"pith_short_12","alias_value":"KBJI47LKB3JB","created_at":"2026-07-05T09:29:20Z"},{"alias_kind":"pith_short_16","alias_value":"KBJI47LKB3JBB7O2","created_at":"2026-07-05T09:29:20Z"},{"alias_kind":"pith_short_8","alias_value":"KBJI47LK","created_at":"2026-07-05T09:29:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:KBJI47LKB3JBB7O23FNFRPOFTI","target":"record","payload":{"canonical_record":{"source":{"id":"2410.24162","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-31T17:20:13Z","cross_cats_sorted":[],"title_canon_sha256":"b16327dc3512a8b4da8efc9f69e7a280a3ca5020614946ce032d0f02d3b2afa0","abstract_canon_sha256":"7522bbe21bc4dbfccfa2e1388717bc604dded5be1e1f064b0f6cddbdaafc3742"},"schema_version":"1.0"},"canonical_sha256":"50528e7d6a0ed210fddad95a58bdc59a24ade06b823e255783e1582b12fa3954","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:29:20.730906Z","signature_b64":"LhrVUwnnnC3+St4EIWlNjQ+LoFmFa1MmUo+OZY0I0weVedmuv1ZddH+kIjxTK2JROFANCRHAudjkTcjaq297Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"50528e7d6a0ed210fddad95a58bdc59a24ade06b823e255783e1582b12fa3954","last_reissued_at":"2026-07-05T09:29:20.730311Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:29:20.730311Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.24162","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":"2026-07-05T09:29:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4TMpeH8QZO+cVncc4g0iRqEUrgb3o4gLOgpfyI/1cMREDINFQWHJWupSeE7znXYBtmBUTJohVi0gOZso/4XxCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T08:44:26.527963Z"},"content_sha256":"cd0c3e4be8c11902946c02368a7ac1b70f93a030771c60ca7d39b3c067db8df0","schema_version":"1.0","event_id":"sha256:cd0c3e4be8c11902946c02368a7ac1b70f93a030771c60ca7d39b3c067db8df0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:KBJI47LKB3JBB7O23FNFRPOFTI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Amirhossein Mollaali, Can Li, Christian Moya, Gabriel Zufferey, Gonzalo Constante-Flores, Guang Lin, Meng Yue","submitted_at":"2024-10-31T17:20:13Z","abstract_excerpt":"This paper proposes a new data-driven methodology for predicting intervals of post-fault voltage trajectories in power systems. We begin by introducing the Quantile Attention-Fourier Deep Operator Network (QAF-DeepONet), designed to capture the complex dynamics of voltage trajectories and reliably estimate quantiles of the target trajectory without any distributional assumptions. The proposed operator regression model maps the observed portion of the voltage trajectory to its unobserved post-fault trajectory. Our methodology employs a pre-training and fine-tuning process to address the challen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.24162","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/2410.24162/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":"2026-07-05T09:29:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OfcggYKujwQAGpIADr/URXDJYYqHd1dYx03DV9AJI0V1f+9uRgpW05H2JsHEH4/ETvNzLwIzwBPL64kJ5r+vAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T08:44:26.528371Z"},"content_sha256":"4a15f74b6cf13659b3d6ca9d553b9f752c50925027ce80655b0b84102463e77e","schema_version":"1.0","event_id":"sha256:4a15f74b6cf13659b3d6ca9d553b9f752c50925027ce80655b0b84102463e77e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KBJI47LKB3JBB7O23FNFRPOFTI/bundle.json","state_url":"https://pith.science/pith/KBJI47LKB3JBB7O23FNFRPOFTI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KBJI47LKB3JBB7O23FNFRPOFTI/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":"2026-07-09T08:44:26Z","links":{"resolver":"https://pith.science/pith/KBJI47LKB3JBB7O23FNFRPOFTI","bundle":"https://pith.science/pith/KBJI47LKB3JBB7O23FNFRPOFTI/bundle.json","state":"https://pith.science/pith/KBJI47LKB3JBB7O23FNFRPOFTI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KBJI47LKB3JBB7O23FNFRPOFTI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:KBJI47LKB3JBB7O23FNFRPOFTI","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":"7522bbe21bc4dbfccfa2e1388717bc604dded5be1e1f064b0f6cddbdaafc3742","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-31T17:20:13Z","title_canon_sha256":"b16327dc3512a8b4da8efc9f69e7a280a3ca5020614946ce032d0f02d3b2afa0"},"schema_version":"1.0","source":{"id":"2410.24162","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.24162","created_at":"2026-07-05T09:29:20Z"},{"alias_kind":"arxiv_version","alias_value":"2410.24162v1","created_at":"2026-07-05T09:29:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.24162","created_at":"2026-07-05T09:29:20Z"},{"alias_kind":"pith_short_12","alias_value":"KBJI47LKB3JB","created_at":"2026-07-05T09:29:20Z"},{"alias_kind":"pith_short_16","alias_value":"KBJI47LKB3JBB7O2","created_at":"2026-07-05T09:29:20Z"},{"alias_kind":"pith_short_8","alias_value":"KBJI47LK","created_at":"2026-07-05T09:29:20Z"}],"graph_snapshots":[{"event_id":"sha256:4a15f74b6cf13659b3d6ca9d553b9f752c50925027ce80655b0b84102463e77e","target":"graph","created_at":"2026-07-05T09:29:20Z","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/2410.24162/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper proposes a new data-driven methodology for predicting intervals of post-fault voltage trajectories in power systems. We begin by introducing the Quantile Attention-Fourier Deep Operator Network (QAF-DeepONet), designed to capture the complex dynamics of voltage trajectories and reliably estimate quantiles of the target trajectory without any distributional assumptions. The proposed operator regression model maps the observed portion of the voltage trajectory to its unobserved post-fault trajectory. Our methodology employs a pre-training and fine-tuning process to address the challen","authors_text":"Amirhossein Mollaali, Can Li, Christian Moya, Gabriel Zufferey, Gonzalo Constante-Flores, Guang Lin, Meng Yue","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-31T17:20:13Z","title":"Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.24162","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:cd0c3e4be8c11902946c02368a7ac1b70f93a030771c60ca7d39b3c067db8df0","target":"record","created_at":"2026-07-05T09:29:20Z","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":"7522bbe21bc4dbfccfa2e1388717bc604dded5be1e1f064b0f6cddbdaafc3742","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-31T17:20:13Z","title_canon_sha256":"b16327dc3512a8b4da8efc9f69e7a280a3ca5020614946ce032d0f02d3b2afa0"},"schema_version":"1.0","source":{"id":"2410.24162","kind":"arxiv","version":1}},"canonical_sha256":"50528e7d6a0ed210fddad95a58bdc59a24ade06b823e255783e1582b12fa3954","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"50528e7d6a0ed210fddad95a58bdc59a24ade06b823e255783e1582b12fa3954","first_computed_at":"2026-07-05T09:29:20.730311Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:29:20.730311Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LhrVUwnnnC3+St4EIWlNjQ+LoFmFa1MmUo+OZY0I0weVedmuv1ZddH+kIjxTK2JROFANCRHAudjkTcjaq297Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:29:20.730906Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.24162","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cd0c3e4be8c11902946c02368a7ac1b70f93a030771c60ca7d39b3c067db8df0","sha256:4a15f74b6cf13659b3d6ca9d553b9f752c50925027ce80655b0b84102463e77e"],"state_sha256":"298438e7081785f2311b6aabafcde3b14290ec6fe549934be1a664c0ba5be91d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FdOldZB4s2EVTcPsTdyVQhTzTiE8uaZnpj5gWsSOCSwrkZsfbxUl+t1LTr/xpDPAP1hkFBttubgjUViEiN7gBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T08:44:26.531296Z","bundle_sha256":"ffd9c9517dfa3add448b509352326e76114d76fd2814066324b25f20a30051fb"}}