{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:WXQS7YEOVR3O2HX5QSERMZWPKL","short_pith_number":"pith:WXQS7YEO","canonical_record":{"source":{"id":"2502.15496","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-21T14:41:28Z","cross_cats_sorted":[],"title_canon_sha256":"0f3a4b9dc380dcefa04896dd114c04b1b96571238a4cf1ff9db37095ba141a83","abstract_canon_sha256":"4a1a608c8d13e9769e6c43bbd985e21b5d40db167636cd940fc418c86bbdf850"},"schema_version":"1.0"},"canonical_sha256":"b5e12fe08eac76ed1efd84891666cf52c864f22d83495a90d51e5610f9c403cd","source":{"kind":"arxiv","id":"2502.15496","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.15496","created_at":"2026-07-05T10:54:15Z"},{"alias_kind":"arxiv_version","alias_value":"2502.15496v2","created_at":"2026-07-05T10:54:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.15496","created_at":"2026-07-05T10:54:15Z"},{"alias_kind":"pith_short_12","alias_value":"WXQS7YEOVR3O","created_at":"2026-07-05T10:54:15Z"},{"alias_kind":"pith_short_16","alias_value":"WXQS7YEOVR3O2HX5","created_at":"2026-07-05T10:54:15Z"},{"alias_kind":"pith_short_8","alias_value":"WXQS7YEO","created_at":"2026-07-05T10:54:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:WXQS7YEOVR3O2HX5QSERMZWPKL","target":"record","payload":{"canonical_record":{"source":{"id":"2502.15496","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-21T14:41:28Z","cross_cats_sorted":[],"title_canon_sha256":"0f3a4b9dc380dcefa04896dd114c04b1b96571238a4cf1ff9db37095ba141a83","abstract_canon_sha256":"4a1a608c8d13e9769e6c43bbd985e21b5d40db167636cd940fc418c86bbdf850"},"schema_version":"1.0"},"canonical_sha256":"b5e12fe08eac76ed1efd84891666cf52c864f22d83495a90d51e5610f9c403cd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:54:15.368136Z","signature_b64":"LAomk4WUIt3/kRf49qVmI79Xp94rz0lJtEUcTRCAJj2K84najfcF76mzS8uBqJW3IuPVuaqxGqFFd9Hug1S7AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b5e12fe08eac76ed1efd84891666cf52c864f22d83495a90d51e5610f9c403cd","last_reissued_at":"2026-07-05T10:54:15.367636Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:54:15.367636Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.15496","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":"2026-07-05T10:54:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WTyGekUvP3JSQo05+TjKnYwmsPGVXXcDCPettU+chgvwTH/Gz2vS3Ct0mg21chH6vVTn1pKwrfRzXqRiCSptCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T16:01:58.590853Z"},"content_sha256":"3b2b46f8ad99d06713e94831d7e7a8a54019e5d6995bf39748dfc428d9192560","schema_version":"1.0","event_id":"sha256:3b2b46f8ad99d06713e94831d7e7a8a54019e5d6995bf39748dfc428d9192560"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:WXQS7YEOVR3O2HX5QSERMZWPKL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Verification and Validation for Trustworthy Scientific Machine Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Joaquim R. R. A. Martins, John D. Jakeman, Lorena A. Barba, Thomas O'Leary-Roseberry","submitted_at":"2025-02-21T14:41:28Z","abstract_excerpt":"Scientific machine learning (SciML) models are transforming many scientific disciplines. However, the development of good modeling practices to increase the trustworthiness of SciML has lagged behind its application, limiting its potential impact. The goal of this paper is to start a discussion on establishing consensus-based good practices for predictive SciML. We identify key challenges in applying existing computational science and engineering guidelines, such as verification and validation protocols, and provide recommendations to address these challenges. Our discussion focuses on predict"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.15496","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/2502.15496/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":"2026-07-05T10:54:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LpJceZvWlgz7qtuoKsEL03cu5Mi0ykviEsC5h9zOjoewgpq52oAabUJNwZdHDQrnDUt7fH9kkKYXE24XGph9Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T16:01:58.591732Z"},"content_sha256":"3c3f99b754ef9f11fb3a5ebe4263d39d7fcf3ad99195328dedd868f2e59162ea","schema_version":"1.0","event_id":"sha256:3c3f99b754ef9f11fb3a5ebe4263d39d7fcf3ad99195328dedd868f2e59162ea"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WXQS7YEOVR3O2HX5QSERMZWPKL/bundle.json","state_url":"https://pith.science/pith/WXQS7YEOVR3O2HX5QSERMZWPKL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WXQS7YEOVR3O2HX5QSERMZWPKL/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":"2026-08-09T16:01:58Z","links":{"resolver":"https://pith.science/pith/WXQS7YEOVR3O2HX5QSERMZWPKL","bundle":"https://pith.science/pith/WXQS7YEOVR3O2HX5QSERMZWPKL/bundle.json","state":"https://pith.science/pith/WXQS7YEOVR3O2HX5QSERMZWPKL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WXQS7YEOVR3O2HX5QSERMZWPKL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WXQS7YEOVR3O2HX5QSERMZWPKL","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":"4a1a608c8d13e9769e6c43bbd985e21b5d40db167636cd940fc418c86bbdf850","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-21T14:41:28Z","title_canon_sha256":"0f3a4b9dc380dcefa04896dd114c04b1b96571238a4cf1ff9db37095ba141a83"},"schema_version":"1.0","source":{"id":"2502.15496","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.15496","created_at":"2026-07-05T10:54:15Z"},{"alias_kind":"arxiv_version","alias_value":"2502.15496v2","created_at":"2026-07-05T10:54:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.15496","created_at":"2026-07-05T10:54:15Z"},{"alias_kind":"pith_short_12","alias_value":"WXQS7YEOVR3O","created_at":"2026-07-05T10:54:15Z"},{"alias_kind":"pith_short_16","alias_value":"WXQS7YEOVR3O2HX5","created_at":"2026-07-05T10:54:15Z"},{"alias_kind":"pith_short_8","alias_value":"WXQS7YEO","created_at":"2026-07-05T10:54:15Z"}],"graph_snapshots":[{"event_id":"sha256:3c3f99b754ef9f11fb3a5ebe4263d39d7fcf3ad99195328dedd868f2e59162ea","target":"graph","created_at":"2026-07-05T10:54:15Z","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/2502.15496/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Scientific machine learning (SciML) models are transforming many scientific disciplines. However, the development of good modeling practices to increase the trustworthiness of SciML has lagged behind its application, limiting its potential impact. The goal of this paper is to start a discussion on establishing consensus-based good practices for predictive SciML. We identify key challenges in applying existing computational science and engineering guidelines, such as verification and validation protocols, and provide recommendations to address these challenges. Our discussion focuses on predict","authors_text":"Joaquim R. R. A. Martins, John D. Jakeman, Lorena A. Barba, Thomas O'Leary-Roseberry","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-21T14:41:28Z","title":"Verification and Validation for Trustworthy Scientific Machine Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.15496","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":"sha256:3b2b46f8ad99d06713e94831d7e7a8a54019e5d6995bf39748dfc428d9192560","target":"record","created_at":"2026-07-05T10:54:15Z","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":"4a1a608c8d13e9769e6c43bbd985e21b5d40db167636cd940fc418c86bbdf850","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-21T14:41:28Z","title_canon_sha256":"0f3a4b9dc380dcefa04896dd114c04b1b96571238a4cf1ff9db37095ba141a83"},"schema_version":"1.0","source":{"id":"2502.15496","kind":"arxiv","version":2}},"canonical_sha256":"b5e12fe08eac76ed1efd84891666cf52c864f22d83495a90d51e5610f9c403cd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b5e12fe08eac76ed1efd84891666cf52c864f22d83495a90d51e5610f9c403cd","first_computed_at":"2026-07-05T10:54:15.367636Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:54:15.367636Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LAomk4WUIt3/kRf49qVmI79Xp94rz0lJtEUcTRCAJj2K84najfcF76mzS8uBqJW3IuPVuaqxGqFFd9Hug1S7AA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:54:15.368136Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.15496","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3b2b46f8ad99d06713e94831d7e7a8a54019e5d6995bf39748dfc428d9192560","sha256:3c3f99b754ef9f11fb3a5ebe4263d39d7fcf3ad99195328dedd868f2e59162ea"],"state_sha256":"f9bcb36ace982f2fcbe8b648bdc39d774fe702de7fb5a123a7762735e815c162"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dm84sSnpYlh3xs+gQgcInerrQDRCTxXu1aCYtsq8z7y5FW1V+QwiMDfu566RTGAjWuhxwOXNdxeBtjk0ys4MAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T16:01:58.598883Z","bundle_sha256":"2e1bdba775afa41ffcde04529ab3e75125c1436140012377393dfd2cc78b0859"}}