{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:ODGSUEV5SP4HA4MLI3GQVQT3MZ","short_pith_number":"pith:ODGSUEV5","canonical_record":{"source":{"id":"2010.15549","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-10-11T07:36:16Z","cross_cats_sorted":["physics.geo-ph"],"title_canon_sha256":"34595bee40687b6076f8c9c88fc7d7e3b44c3ac030bfdc378610259996202232","abstract_canon_sha256":"6530623b7ed4810c7d7472ec5de5c5a6c8c1f2a406f28b8eb32e315360d8f1e7"},"schema_version":"1.0"},"canonical_sha256":"70cd2a12bd93f870718b46cd0ac27b6678e28cad97f074a7a2ec7b8e6b8a859a","source":{"kind":"arxiv","id":"2010.15549","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.15549","created_at":"2026-07-05T08:30:27Z"},{"alias_kind":"arxiv_version","alias_value":"2010.15549v4","created_at":"2026-07-05T08:30:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.15549","created_at":"2026-07-05T08:30:27Z"},{"alias_kind":"pith_short_12","alias_value":"ODGSUEV5SP4H","created_at":"2026-07-05T08:30:27Z"},{"alias_kind":"pith_short_16","alias_value":"ODGSUEV5SP4HA4ML","created_at":"2026-07-05T08:30:27Z"},{"alias_kind":"pith_short_8","alias_value":"ODGSUEV5","created_at":"2026-07-05T08:30:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:ODGSUEV5SP4HA4MLI3GQVQT3MZ","target":"record","payload":{"canonical_record":{"source":{"id":"2010.15549","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-10-11T07:36:16Z","cross_cats_sorted":["physics.geo-ph"],"title_canon_sha256":"34595bee40687b6076f8c9c88fc7d7e3b44c3ac030bfdc378610259996202232","abstract_canon_sha256":"6530623b7ed4810c7d7472ec5de5c5a6c8c1f2a406f28b8eb32e315360d8f1e7"},"schema_version":"1.0"},"canonical_sha256":"70cd2a12bd93f870718b46cd0ac27b6678e28cad97f074a7a2ec7b8e6b8a859a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:30:27.192608Z","signature_b64":"grREZ6JS4UvgiXVNd4NxXr3guOcm1rhrN0MIGYr4qlmb2GLvvotN6Ja2L2Z2sRAAyr2suZhvO+kMYqH5V9zIDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"70cd2a12bd93f870718b46cd0ac27b6678e28cad97f074a7a2ec7b8e6b8a859a","last_reissued_at":"2026-07-05T08:30:27.192096Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:30:27.192096Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2010.15549","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:30:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WFyZXpeANA6pMOYXtBmbhNvFJwcxkAPSJDCSZWwmnyslA5t+PIVoEYUYGQDyBBemMCNghBoSdu3saPm6cKBjAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T10:49:05.616859Z"},"content_sha256":"078a371a748b4a972e417af2ec1d61c9bda5f1d969a0a3bbfe461f316378156b","schema_version":"1.0","event_id":"sha256:078a371a748b4a972e417af2ec1d61c9bda5f1d969a0a3bbfe461f316378156b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:ODGSUEV5SP4HA4MLI3GQVQT3MZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-Constitutive Neural Network for Large Deformation Poromechanics Problem","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.geo-ph"],"primary_cat":"cs.LG","authors_text":"Eric Darve, Qi Zhang, Yilin Chen, Ziyi Yang","submitted_at":"2020-10-11T07:36:16Z","abstract_excerpt":"In this paper, we study the problem of large-strain consolidation in poromechanics with deep neural networks (DNN). Given different material properties and different loading conditions, the goal is to predict pore pressure and settlement. We propose a novel method \"multi-constitutive neural network\" (MCNN) such that one model can solve several different constitutive laws. We introduce a one-hot encoding vector as an additional input vector, which is used to label the constitutive law we wish to solve. Then we build a DNN which takes $(\\hat{X}, \\hat{t})$ as input along with a constitutive law l"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.15549","kind":"arxiv","version":4},"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/2010.15549/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":"2026-07-05T08:30:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ES+GEhawZKY4JZXnDn/S/F3SjuKkU3H0QF28nhLeQkMKw8Repe63QC9ATwn5JZeBabKcGhbAIR1ia0fxK4ngAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T10:49:05.617887Z"},"content_sha256":"fddd81fd8a2a7fec92935ae70090a0a5d742d2385bea7e4fe73a167b713b0a26","schema_version":"1.0","event_id":"sha256:fddd81fd8a2a7fec92935ae70090a0a5d742d2385bea7e4fe73a167b713b0a26"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ODGSUEV5SP4HA4MLI3GQVQT3MZ/bundle.json","state_url":"https://pith.science/pith/ODGSUEV5SP4HA4MLI3GQVQT3MZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ODGSUEV5SP4HA4MLI3GQVQT3MZ/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":"2026-08-06T10:49:05Z","links":{"resolver":"https://pith.science/pith/ODGSUEV5SP4HA4MLI3GQVQT3MZ","bundle":"https://pith.science/pith/ODGSUEV5SP4HA4MLI3GQVQT3MZ/bundle.json","state":"https://pith.science/pith/ODGSUEV5SP4HA4MLI3GQVQT3MZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ODGSUEV5SP4HA4MLI3GQVQT3MZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:ODGSUEV5SP4HA4MLI3GQVQT3MZ","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":"6530623b7ed4810c7d7472ec5de5c5a6c8c1f2a406f28b8eb32e315360d8f1e7","cross_cats_sorted":["physics.geo-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-10-11T07:36:16Z","title_canon_sha256":"34595bee40687b6076f8c9c88fc7d7e3b44c3ac030bfdc378610259996202232"},"schema_version":"1.0","source":{"id":"2010.15549","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.15549","created_at":"2026-07-05T08:30:27Z"},{"alias_kind":"arxiv_version","alias_value":"2010.15549v4","created_at":"2026-07-05T08:30:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.15549","created_at":"2026-07-05T08:30:27Z"},{"alias_kind":"pith_short_12","alias_value":"ODGSUEV5SP4H","created_at":"2026-07-05T08:30:27Z"},{"alias_kind":"pith_short_16","alias_value":"ODGSUEV5SP4HA4ML","created_at":"2026-07-05T08:30:27Z"},{"alias_kind":"pith_short_8","alias_value":"ODGSUEV5","created_at":"2026-07-05T08:30:27Z"}],"graph_snapshots":[{"event_id":"sha256:fddd81fd8a2a7fec92935ae70090a0a5d742d2385bea7e4fe73a167b713b0a26","target":"graph","created_at":"2026-07-05T08:30:27Z","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/2010.15549/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we study the problem of large-strain consolidation in poromechanics with deep neural networks (DNN). Given different material properties and different loading conditions, the goal is to predict pore pressure and settlement. We propose a novel method \"multi-constitutive neural network\" (MCNN) such that one model can solve several different constitutive laws. We introduce a one-hot encoding vector as an additional input vector, which is used to label the constitutive law we wish to solve. Then we build a DNN which takes $(\\hat{X}, \\hat{t})$ as input along with a constitutive law l","authors_text":"Eric Darve, Qi Zhang, Yilin Chen, Ziyi Yang","cross_cats":["physics.geo-ph"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-10-11T07:36:16Z","title":"Multi-Constitutive Neural Network for Large Deformation Poromechanics Problem"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.15549","kind":"arxiv","version":4},"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":"sha256:078a371a748b4a972e417af2ec1d61c9bda5f1d969a0a3bbfe461f316378156b","target":"record","created_at":"2026-07-05T08:30:27Z","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":"6530623b7ed4810c7d7472ec5de5c5a6c8c1f2a406f28b8eb32e315360d8f1e7","cross_cats_sorted":["physics.geo-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-10-11T07:36:16Z","title_canon_sha256":"34595bee40687b6076f8c9c88fc7d7e3b44c3ac030bfdc378610259996202232"},"schema_version":"1.0","source":{"id":"2010.15549","kind":"arxiv","version":4}},"canonical_sha256":"70cd2a12bd93f870718b46cd0ac27b6678e28cad97f074a7a2ec7b8e6b8a859a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"70cd2a12bd93f870718b46cd0ac27b6678e28cad97f074a7a2ec7b8e6b8a859a","first_computed_at":"2026-07-05T08:30:27.192096Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:30:27.192096Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"grREZ6JS4UvgiXVNd4NxXr3guOcm1rhrN0MIGYr4qlmb2GLvvotN6Ja2L2Z2sRAAyr2suZhvO+kMYqH5V9zIDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:30:27.192608Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.15549","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:078a371a748b4a972e417af2ec1d61c9bda5f1d969a0a3bbfe461f316378156b","sha256:fddd81fd8a2a7fec92935ae70090a0a5d742d2385bea7e4fe73a167b713b0a26"],"state_sha256":"dbcbea4f852f078ee9be0e8c7153af44a1d2749d8836f6b2d24975c24206ee9f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qPO/Yv+ejaGElWfGQcXLWp/OIKlVnl8BRmlsZ3CGLlp9Xx5tomuy7UwRL/5gmN7SDjkND+ZdnelQjxKlri6dCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T10:49:05.624742Z","bundle_sha256":"e6ee7d14703815b12475258740c86c8901501fe5a5addb3fbb9d63a2882bb4de"}}