{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:JJ4PRR7QAXMX55ZG4ZAZ3VNFY5","short_pith_number":"pith:JJ4PRR7Q","canonical_record":{"source":{"id":"2511.00366","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2025-11-01T02:20:28Z","cross_cats_sorted":["cs.CE","cs.LG"],"title_canon_sha256":"7af96e6fb1b9d18f34bebced167cc6ba5c994444fd816f82011c273d5234e920","abstract_canon_sha256":"5442565ffc8d6aefe05bbb4ebe7ef781d5de802d195f43a116cfcb4b972523b2"},"schema_version":"1.0"},"canonical_sha256":"4a78f8c7f005d97ef726e6419dd5a5c76d74a3a48a0ed3a5adcf02d992e5a00e","source":{"kind":"arxiv","id":"2511.00366","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2511.00366","created_at":"2026-06-19T16:10:54Z"},{"alias_kind":"arxiv_version","alias_value":"2511.00366v2","created_at":"2026-06-19T16:10:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.00366","created_at":"2026-06-19T16:10:54Z"},{"alias_kind":"pith_short_12","alias_value":"JJ4PRR7QAXMX","created_at":"2026-06-19T16:10:54Z"},{"alias_kind":"pith_short_16","alias_value":"JJ4PRR7QAXMX55ZG","created_at":"2026-06-19T16:10:54Z"},{"alias_kind":"pith_short_8","alias_value":"JJ4PRR7Q","created_at":"2026-06-19T16:10:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:JJ4PRR7QAXMX55ZG4ZAZ3VNFY5","target":"record","payload":{"canonical_record":{"source":{"id":"2511.00366","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2025-11-01T02:20:28Z","cross_cats_sorted":["cs.CE","cs.LG"],"title_canon_sha256":"7af96e6fb1b9d18f34bebced167cc6ba5c994444fd816f82011c273d5234e920","abstract_canon_sha256":"5442565ffc8d6aefe05bbb4ebe7ef781d5de802d195f43a116cfcb4b972523b2"},"schema_version":"1.0"},"canonical_sha256":"4a78f8c7f005d97ef726e6419dd5a5c76d74a3a48a0ed3a5adcf02d992e5a00e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:10:54.081524Z","signature_b64":"y5HGpygRxIKe7S+GCOgQzVNJRNdhqlqbU8CSWZRLMelBiYNgLTZtB4qLE5lOKLIaaCWmW2E5zv66oppD70EWAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4a78f8c7f005d97ef726e6419dd5a5c76d74a3a48a0ed3a5adcf02d992e5a00e","last_reissued_at":"2026-06-19T16:10:54.081114Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:10:54.081114Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2511.00366","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-19T16:10:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z9JMXeMOLy+z/3Q7tCSZqd9m6NqWXR0ZLo9y9qmU8tFHEcP9nipPbt/VU0UNqcs/po+JQOHW0tK/R5b7q43ABQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T14:58:10.305997Z"},"content_sha256":"f065da4e440b89d0ff148809f2a795180886f5fa6f79429bde689c9a2bf6ea10","schema_version":"1.0","event_id":"sha256:f065da4e440b89d0ff148809f2a795180886f5fa6f79429bde689c9a2bf6ea10"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:JJ4PRR7QAXMX55ZG4ZAZ3VNFY5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Streaming Sparse Cholesky Method for Derivative-Informed Gaussian Process Surrogates Within Digital Twin Applications","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CE","cs.LG"],"primary_cat":"stat.ML","authors_text":"Jacob Hochhalter, Krishna Prasath Logakannan, Robert M. Kirby, Shandian Zhe, Shridhar Vashishtha","submitted_at":"2025-11-01T02:20:28Z","abstract_excerpt":"Digital twins are developed to model the behavior of a specific physical asset (or twin), and they can consist of high-fidelity physics-based models or surrogates. A highly accurate surrogate is often preferred over multi-physics models as they enable forecasting the physical twin future state in real-time. To adapt to a specific physical twin, the digital twin model must be updated using in-service data from that physical twin. In this paper, we combine and extend several previous surrogate-related advancements with the goal of demonstrating an end-to-end digital twin (DT) solution for predic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.00366","kind":"arxiv","version":2},"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/2511.00366/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":"2026-06-19T16:10:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fV35WnBubdF/kO8Ody6h4nJVLJuxRmdft0o6C95l6vLAaCyzOG6YO3yBXlDWX80rJXNt/qsAf+8oPuAqVvTGDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T14:58:10.306942Z"},"content_sha256":"b91cfd788dd2e97903ad4c27f603209145f094a2d5e0ecb3bfcf4308ada0529b","schema_version":"1.0","event_id":"sha256:b91cfd788dd2e97903ad4c27f603209145f094a2d5e0ecb3bfcf4308ada0529b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JJ4PRR7QAXMX55ZG4ZAZ3VNFY5/bundle.json","state_url":"https://pith.science/pith/JJ4PRR7QAXMX55ZG4ZAZ3VNFY5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JJ4PRR7QAXMX55ZG4ZAZ3VNFY5/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":"2026-08-08T14:58:10Z","links":{"resolver":"https://pith.science/pith/JJ4PRR7QAXMX55ZG4ZAZ3VNFY5","bundle":"https://pith.science/pith/JJ4PRR7QAXMX55ZG4ZAZ3VNFY5/bundle.json","state":"https://pith.science/pith/JJ4PRR7QAXMX55ZG4ZAZ3VNFY5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JJ4PRR7QAXMX55ZG4ZAZ3VNFY5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JJ4PRR7QAXMX55ZG4ZAZ3VNFY5","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":"5442565ffc8d6aefe05bbb4ebe7ef781d5de802d195f43a116cfcb4b972523b2","cross_cats_sorted":["cs.CE","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2025-11-01T02:20:28Z","title_canon_sha256":"7af96e6fb1b9d18f34bebced167cc6ba5c994444fd816f82011c273d5234e920"},"schema_version":"1.0","source":{"id":"2511.00366","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2511.00366","created_at":"2026-06-19T16:10:54Z"},{"alias_kind":"arxiv_version","alias_value":"2511.00366v2","created_at":"2026-06-19T16:10:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.00366","created_at":"2026-06-19T16:10:54Z"},{"alias_kind":"pith_short_12","alias_value":"JJ4PRR7QAXMX","created_at":"2026-06-19T16:10:54Z"},{"alias_kind":"pith_short_16","alias_value":"JJ4PRR7QAXMX55ZG","created_at":"2026-06-19T16:10:54Z"},{"alias_kind":"pith_short_8","alias_value":"JJ4PRR7Q","created_at":"2026-06-19T16:10:54Z"}],"graph_snapshots":[{"event_id":"sha256:b91cfd788dd2e97903ad4c27f603209145f094a2d5e0ecb3bfcf4308ada0529b","target":"graph","created_at":"2026-06-19T16:10:54Z","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/2511.00366/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Digital twins are developed to model the behavior of a specific physical asset (or twin), and they can consist of high-fidelity physics-based models or surrogates. A highly accurate surrogate is often preferred over multi-physics models as they enable forecasting the physical twin future state in real-time. To adapt to a specific physical twin, the digital twin model must be updated using in-service data from that physical twin. In this paper, we combine and extend several previous surrogate-related advancements with the goal of demonstrating an end-to-end digital twin (DT) solution for predic","authors_text":"Jacob Hochhalter, Krishna Prasath Logakannan, Robert M. Kirby, Shandian Zhe, Shridhar Vashishtha","cross_cats":["cs.CE","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2025-11-01T02:20:28Z","title":"A Streaming Sparse Cholesky Method for Derivative-Informed Gaussian Process Surrogates Within Digital Twin Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.00366","kind":"arxiv","version":2},"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:f065da4e440b89d0ff148809f2a795180886f5fa6f79429bde689c9a2bf6ea10","target":"record","created_at":"2026-06-19T16:10:54Z","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":"5442565ffc8d6aefe05bbb4ebe7ef781d5de802d195f43a116cfcb4b972523b2","cross_cats_sorted":["cs.CE","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2025-11-01T02:20:28Z","title_canon_sha256":"7af96e6fb1b9d18f34bebced167cc6ba5c994444fd816f82011c273d5234e920"},"schema_version":"1.0","source":{"id":"2511.00366","kind":"arxiv","version":2}},"canonical_sha256":"4a78f8c7f005d97ef726e6419dd5a5c76d74a3a48a0ed3a5adcf02d992e5a00e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4a78f8c7f005d97ef726e6419dd5a5c76d74a3a48a0ed3a5adcf02d992e5a00e","first_computed_at":"2026-06-19T16:10:54.081114Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:10:54.081114Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"y5HGpygRxIKe7S+GCOgQzVNJRNdhqlqbU8CSWZRLMelBiYNgLTZtB4qLE5lOKLIaaCWmW2E5zv66oppD70EWAQ==","signature_status":"signed_v1","signed_at":"2026-06-19T16:10:54.081524Z","signed_message":"canonical_sha256_bytes"},"source_id":"2511.00366","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f065da4e440b89d0ff148809f2a795180886f5fa6f79429bde689c9a2bf6ea10","sha256:b91cfd788dd2e97903ad4c27f603209145f094a2d5e0ecb3bfcf4308ada0529b"],"state_sha256":"c1b70db0f7ab21411f25d039f546d97f32c8385899524a323e89707f4dbce56d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EOIhVZ67AGJI7Jj3NqNT07mVSMNPt88/VrX8BUDT1SQaWi2ZJvzZnB9nUi/OTg31oPxS6dsK4KXPLbpAYgUACg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T14:58:10.311650Z","bundle_sha256":"e5bc25cccc417d9cffb3be60ecf4bd34f3d7ac8782ba120af9d3e74571fd295a"}}