{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:NWEHAJJZMYSIKGSNQVUBLQMRVA","short_pith_number":"pith:NWEHAJJZ","canonical_record":{"source":{"id":"2505.19566","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CE","submitted_at":"2025-05-26T06:26:49Z","cross_cats_sorted":[],"title_canon_sha256":"e2584d523cde6939f9450f7b798ce20d41c11e9cf9afc33f26ba06767f049a13","abstract_canon_sha256":"d6e13f1bdf28e9e58a657636b1f4be436e074a6cba8fcb33badcc80315ae51bb"},"schema_version":"1.0"},"canonical_sha256":"6d887025396624851a4d856815c191a808ef1a7d996fe0fde6c5b2c65e91b6f7","source":{"kind":"arxiv","id":"2505.19566","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.19566","created_at":"2026-07-05T11:09:32Z"},{"alias_kind":"arxiv_version","alias_value":"2505.19566v1","created_at":"2026-07-05T11:09:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.19566","created_at":"2026-07-05T11:09:32Z"},{"alias_kind":"pith_short_12","alias_value":"NWEHAJJZMYSI","created_at":"2026-07-05T11:09:32Z"},{"alias_kind":"pith_short_16","alias_value":"NWEHAJJZMYSIKGSN","created_at":"2026-07-05T11:09:32Z"},{"alias_kind":"pith_short_8","alias_value":"NWEHAJJZ","created_at":"2026-07-05T11:09:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:NWEHAJJZMYSIKGSNQVUBLQMRVA","target":"record","payload":{"canonical_record":{"source":{"id":"2505.19566","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CE","submitted_at":"2025-05-26T06:26:49Z","cross_cats_sorted":[],"title_canon_sha256":"e2584d523cde6939f9450f7b798ce20d41c11e9cf9afc33f26ba06767f049a13","abstract_canon_sha256":"d6e13f1bdf28e9e58a657636b1f4be436e074a6cba8fcb33badcc80315ae51bb"},"schema_version":"1.0"},"canonical_sha256":"6d887025396624851a4d856815c191a808ef1a7d996fe0fde6c5b2c65e91b6f7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:09:32.574701Z","signature_b64":"MzietLuVBpFnmXHP6Uhv3pICteTMRZ8HayDwwXtc5dAIjp8SdCtgOiAj6iBWaPlEL9VKCYRyicxMcVuoC4MCBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6d887025396624851a4d856815c191a808ef1a7d996fe0fde6c5b2c65e91b6f7","last_reissued_at":"2026-07-05T11:09:32.574193Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:09:32.574193Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.19566","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":"2026-07-05T11:09:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mEcRV7cmMpZzvwMM2N/vcwVPl1vVuJnLkNXyAvPaLYEGkbbYtbY4QmQlkLQ3glDytOVsgQlMaY/BKyENfo+jDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T05:42:08.023109Z"},"content_sha256":"c1379b6da909c82165e765600f55669a5096a1f976010cdbcac003906b1f40ea","schema_version":"1.0","event_id":"sha256:c1379b6da909c82165e765600f55669a5096a1f976010cdbcac003906b1f40ea"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:NWEHAJJZMYSIKGSNQVUBLQMRVA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Integrated Finite Element Neural Network (IFENN) for Phase-Field Fracture with Minimal Input and Generalized Geometry-Load Handling","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CE","authors_text":"Diab Abueidda, Lampros Svolos, Mostafa E. Mobasher, Panos Pantidis","submitted_at":"2025-05-26T06:26:49Z","abstract_excerpt":"We present a novel formulation for modeling phase-field fracture propagation based on the Integrated Finite Element Neural Network (IFENN) framework. IFENN is a hybrid solver scheme that utilizes neural networks as PDE solvers within FEM, preserving accuracy via residual minimization while achieving speed-up via swift network predictions and reduction of the size of system of equations in coupled problems. In this work, we introduce a radically new formulation of IFENN in which the phase-field variable is calculated using physics-informed convolutional networks (PICNNs), while the equilibrium "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.19566","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/2505.19566/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":"2026-07-05T11:09:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bNn9CpLFt6gawj9Ij10G+I9UaIStbTnCkh9FcNQAKbdrO0Z+TE4pvgV1VJXmnybKkaEyDfui4ayYb6+Badw0Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T05:42:08.023635Z"},"content_sha256":"64d8b68c26e7a85345c62598890898141808b06ca862bfd51a25889bac4572e7","schema_version":"1.0","event_id":"sha256:64d8b68c26e7a85345c62598890898141808b06ca862bfd51a25889bac4572e7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NWEHAJJZMYSIKGSNQVUBLQMRVA/bundle.json","state_url":"https://pith.science/pith/NWEHAJJZMYSIKGSNQVUBLQMRVA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NWEHAJJZMYSIKGSNQVUBLQMRVA/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":"2026-08-10T05:42:08Z","links":{"resolver":"https://pith.science/pith/NWEHAJJZMYSIKGSNQVUBLQMRVA","bundle":"https://pith.science/pith/NWEHAJJZMYSIKGSNQVUBLQMRVA/bundle.json","state":"https://pith.science/pith/NWEHAJJZMYSIKGSNQVUBLQMRVA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NWEHAJJZMYSIKGSNQVUBLQMRVA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:NWEHAJJZMYSIKGSNQVUBLQMRVA","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":"d6e13f1bdf28e9e58a657636b1f4be436e074a6cba8fcb33badcc80315ae51bb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CE","submitted_at":"2025-05-26T06:26:49Z","title_canon_sha256":"e2584d523cde6939f9450f7b798ce20d41c11e9cf9afc33f26ba06767f049a13"},"schema_version":"1.0","source":{"id":"2505.19566","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.19566","created_at":"2026-07-05T11:09:32Z"},{"alias_kind":"arxiv_version","alias_value":"2505.19566v1","created_at":"2026-07-05T11:09:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.19566","created_at":"2026-07-05T11:09:32Z"},{"alias_kind":"pith_short_12","alias_value":"NWEHAJJZMYSI","created_at":"2026-07-05T11:09:32Z"},{"alias_kind":"pith_short_16","alias_value":"NWEHAJJZMYSIKGSN","created_at":"2026-07-05T11:09:32Z"},{"alias_kind":"pith_short_8","alias_value":"NWEHAJJZ","created_at":"2026-07-05T11:09:32Z"}],"graph_snapshots":[{"event_id":"sha256:64d8b68c26e7a85345c62598890898141808b06ca862bfd51a25889bac4572e7","target":"graph","created_at":"2026-07-05T11:09:32Z","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/2505.19566/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a novel formulation for modeling phase-field fracture propagation based on the Integrated Finite Element Neural Network (IFENN) framework. IFENN is a hybrid solver scheme that utilizes neural networks as PDE solvers within FEM, preserving accuracy via residual minimization while achieving speed-up via swift network predictions and reduction of the size of system of equations in coupled problems. In this work, we introduce a radically new formulation of IFENN in which the phase-field variable is calculated using physics-informed convolutional networks (PICNNs), while the equilibrium ","authors_text":"Diab Abueidda, Lampros Svolos, Mostafa E. Mobasher, Panos Pantidis","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CE","submitted_at":"2025-05-26T06:26:49Z","title":"Integrated Finite Element Neural Network (IFENN) for Phase-Field Fracture with Minimal Input and Generalized Geometry-Load Handling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.19566","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:c1379b6da909c82165e765600f55669a5096a1f976010cdbcac003906b1f40ea","target":"record","created_at":"2026-07-05T11:09:32Z","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":"d6e13f1bdf28e9e58a657636b1f4be436e074a6cba8fcb33badcc80315ae51bb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CE","submitted_at":"2025-05-26T06:26:49Z","title_canon_sha256":"e2584d523cde6939f9450f7b798ce20d41c11e9cf9afc33f26ba06767f049a13"},"schema_version":"1.0","source":{"id":"2505.19566","kind":"arxiv","version":1}},"canonical_sha256":"6d887025396624851a4d856815c191a808ef1a7d996fe0fde6c5b2c65e91b6f7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6d887025396624851a4d856815c191a808ef1a7d996fe0fde6c5b2c65e91b6f7","first_computed_at":"2026-07-05T11:09:32.574193Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:09:32.574193Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MzietLuVBpFnmXHP6Uhv3pICteTMRZ8HayDwwXtc5dAIjp8SdCtgOiAj6iBWaPlEL9VKCYRyicxMcVuoC4MCBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:09:32.574701Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.19566","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c1379b6da909c82165e765600f55669a5096a1f976010cdbcac003906b1f40ea","sha256:64d8b68c26e7a85345c62598890898141808b06ca862bfd51a25889bac4572e7"],"state_sha256":"2ca0c979a5cf71ec3d9ae74d248dd684a78665e188ea9df2423114f8c63f42cf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ugPOh+hSh5kFTXjsD1NHo5P+jtuXV8dMoRGBpGM3pti/mVDKIGTECbuW2a6Z4p8/S0XyDFpyO2H7qsks6m/7DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T05:42:08.039825Z","bundle_sha256":"4d2e60b00d3e91b9d34441a0193d51a42a43fd14277eb1c475155ad5b3b1dcdd"}}