{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:XU6Y5D4672MHEJIXAK2X6RVTL4","short_pith_number":"pith:XU6Y5D46","canonical_record":{"source":{"id":"2202.08021","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"physics.chem-ph","submitted_at":"2022-02-16T12:31:24Z","cross_cats_sorted":["cs.DC","cs.LG","physics.comp-ph","stat.ML"],"title_canon_sha256":"431561480b0e351b685d494b5807ad9889cc211db2722928c8a6b9b2ccfa2913","abstract_canon_sha256":"ea89f2f4c694d99c14d9acc238c85d8b17d956080f9ae337df3d8af25ba1ee47"},"schema_version":"1.0"},"canonical_sha256":"bd3d8e8f9efe9872251702b57f46b35f23a8bd74d02df93c4919f150e14840bc","source":{"kind":"arxiv","id":"2202.08021","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.08021","created_at":"2026-07-05T06:21:46Z"},{"alias_kind":"arxiv_version","alias_value":"2202.08021v1","created_at":"2026-07-05T06:21:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.08021","created_at":"2026-07-05T06:21:46Z"},{"alias_kind":"pith_short_12","alias_value":"XU6Y5D4672MH","created_at":"2026-07-05T06:21:46Z"},{"alias_kind":"pith_short_16","alias_value":"XU6Y5D4672MHEJIX","created_at":"2026-07-05T06:21:46Z"},{"alias_kind":"pith_short_8","alias_value":"XU6Y5D46","created_at":"2026-07-05T06:21:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:XU6Y5D4672MHEJIXAK2X6RVTL4","target":"record","payload":{"canonical_record":{"source":{"id":"2202.08021","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"physics.chem-ph","submitted_at":"2022-02-16T12:31:24Z","cross_cats_sorted":["cs.DC","cs.LG","physics.comp-ph","stat.ML"],"title_canon_sha256":"431561480b0e351b685d494b5807ad9889cc211db2722928c8a6b9b2ccfa2913","abstract_canon_sha256":"ea89f2f4c694d99c14d9acc238c85d8b17d956080f9ae337df3d8af25ba1ee47"},"schema_version":"1.0"},"canonical_sha256":"bd3d8e8f9efe9872251702b57f46b35f23a8bd74d02df93c4919f150e14840bc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:21:46.031628Z","signature_b64":"gfXFyInJ0dQ2uL3bf7Ervi4Xguz4Rl89Uq3h4+maHA5AfbwltAlSkLK0Kdh5qatDE1TNQFIABh3PX2bNrNnGCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bd3d8e8f9efe9872251702b57f46b35f23a8bd74d02df93c4919f150e14840bc","last_reissued_at":"2026-07-05T06:21:46.031181Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:21:46.031181Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2202.08021","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":"2026-07-05T06:21:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"esMY1UJUuPBvztFOeom+TMslgbtr+ZQb/1TqOE2s+qZEBVnIz+Wpia0rddGiQNBKw4g5qjWbVUJwCJe1ATY0Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:35:31.540094Z"},"content_sha256":"b321fe8748a43cfff8d055f1a652f817403f8dbe2ee4f11620eca104cd4e5a5f","schema_version":"1.0","event_id":"sha256:b321fe8748a43cfff8d055f1a652f817403f8dbe2ee4f11620eca104cd4e5a5f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:XU6Y5D4672MHEJIXAK2X6RVTL4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Toward Development of Machine Learned Techniques for Production of Compact Kinetic Models","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.DC","cs.LG","physics.comp-ph","stat.ML"],"primary_cat":"physics.chem-ph","authors_text":"Gilles Bourque, Mark Fortune, Mark Kelly, Stephen Dooley","submitted_at":"2022-02-16T12:31:24Z","abstract_excerpt":"Chemical kinetic models are an essential component in the development and optimisation of combustion devices through their coupling to multi-dimensional simulations such as computational fluid dynamics (CFD). Low-dimensional kinetic models which retain good fidelity to the reality are needed, the production of which requires considerable human-time cost and expert knowledge. Here, we present a novel automated compute intensification methodology to produce overly-reduced and optimised (compact) chemical kinetic models. This algorithm, termed Machine Learned Optimisation of Chemical Kinetics (ML"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.08021","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/2202.08021/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":"2026-07-05T06:21:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vfAHLVoNgUTWl/WuGnbzXPn/7AE1jTD59w6KWzr9HpoB8EXAX/B6ShMNMIWLH6eYm0J9Dp3dGut1ZyqNbJbhAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:35:31.540640Z"},"content_sha256":"58a590d7c961753adc7336ef0414124466a0162d5620409991d783ac9134f0c3","schema_version":"1.0","event_id":"sha256:58a590d7c961753adc7336ef0414124466a0162d5620409991d783ac9134f0c3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XU6Y5D4672MHEJIXAK2X6RVTL4/bundle.json","state_url":"https://pith.science/pith/XU6Y5D4672MHEJIXAK2X6RVTL4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XU6Y5D4672MHEJIXAK2X6RVTL4/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":"2026-08-03T15:35:31Z","links":{"resolver":"https://pith.science/pith/XU6Y5D4672MHEJIXAK2X6RVTL4","bundle":"https://pith.science/pith/XU6Y5D4672MHEJIXAK2X6RVTL4/bundle.json","state":"https://pith.science/pith/XU6Y5D4672MHEJIXAK2X6RVTL4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XU6Y5D4672MHEJIXAK2X6RVTL4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:XU6Y5D4672MHEJIXAK2X6RVTL4","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":"ea89f2f4c694d99c14d9acc238c85d8b17d956080f9ae337df3d8af25ba1ee47","cross_cats_sorted":["cs.DC","cs.LG","physics.comp-ph","stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"physics.chem-ph","submitted_at":"2022-02-16T12:31:24Z","title_canon_sha256":"431561480b0e351b685d494b5807ad9889cc211db2722928c8a6b9b2ccfa2913"},"schema_version":"1.0","source":{"id":"2202.08021","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.08021","created_at":"2026-07-05T06:21:46Z"},{"alias_kind":"arxiv_version","alias_value":"2202.08021v1","created_at":"2026-07-05T06:21:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.08021","created_at":"2026-07-05T06:21:46Z"},{"alias_kind":"pith_short_12","alias_value":"XU6Y5D4672MH","created_at":"2026-07-05T06:21:46Z"},{"alias_kind":"pith_short_16","alias_value":"XU6Y5D4672MHEJIX","created_at":"2026-07-05T06:21:46Z"},{"alias_kind":"pith_short_8","alias_value":"XU6Y5D46","created_at":"2026-07-05T06:21:46Z"}],"graph_snapshots":[{"event_id":"sha256:58a590d7c961753adc7336ef0414124466a0162d5620409991d783ac9134f0c3","target":"graph","created_at":"2026-07-05T06:21:46Z","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/2202.08021/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Chemical kinetic models are an essential component in the development and optimisation of combustion devices through their coupling to multi-dimensional simulations such as computational fluid dynamics (CFD). Low-dimensional kinetic models which retain good fidelity to the reality are needed, the production of which requires considerable human-time cost and expert knowledge. Here, we present a novel automated compute intensification methodology to produce overly-reduced and optimised (compact) chemical kinetic models. This algorithm, termed Machine Learned Optimisation of Chemical Kinetics (ML","authors_text":"Gilles Bourque, Mark Fortune, Mark Kelly, Stephen Dooley","cross_cats":["cs.DC","cs.LG","physics.comp-ph","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"physics.chem-ph","submitted_at":"2022-02-16T12:31:24Z","title":"Toward Development of Machine Learned Techniques for Production of Compact Kinetic Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.08021","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:b321fe8748a43cfff8d055f1a652f817403f8dbe2ee4f11620eca104cd4e5a5f","target":"record","created_at":"2026-07-05T06:21:46Z","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":"ea89f2f4c694d99c14d9acc238c85d8b17d956080f9ae337df3d8af25ba1ee47","cross_cats_sorted":["cs.DC","cs.LG","physics.comp-ph","stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"physics.chem-ph","submitted_at":"2022-02-16T12:31:24Z","title_canon_sha256":"431561480b0e351b685d494b5807ad9889cc211db2722928c8a6b9b2ccfa2913"},"schema_version":"1.0","source":{"id":"2202.08021","kind":"arxiv","version":1}},"canonical_sha256":"bd3d8e8f9efe9872251702b57f46b35f23a8bd74d02df93c4919f150e14840bc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bd3d8e8f9efe9872251702b57f46b35f23a8bd74d02df93c4919f150e14840bc","first_computed_at":"2026-07-05T06:21:46.031181Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:21:46.031181Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gfXFyInJ0dQ2uL3bf7Ervi4Xguz4Rl89Uq3h4+maHA5AfbwltAlSkLK0Kdh5qatDE1TNQFIABh3PX2bNrNnGCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:21:46.031628Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.08021","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b321fe8748a43cfff8d055f1a652f817403f8dbe2ee4f11620eca104cd4e5a5f","sha256:58a590d7c961753adc7336ef0414124466a0162d5620409991d783ac9134f0c3"],"state_sha256":"a0cd0463bac003f228c33a730abc6b01e6c027f6801a5097142f62d84f179309"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gsCc3iZYGcUMyUL1PTsWItRsTiyYpUHPGGIJyDzjL+bGHsKJH4rk8o4TSoW+MbsHb4HePFUC1enpHWmvKmRwDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T15:35:31.544694Z","bundle_sha256":"251ee1af63a671704e08d73b2dbaef509ad39a433bdd23ca8e53e11850132b49"}}