{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:K3TU4VOEOZBHUYO4MM3VPKX5FT","short_pith_number":"pith:K3TU4VOE","schema_version":"1.0","canonical_sha256":"56e74e55c476427a61dc633757aafd2cec4984a7369b892c04d76e7c0054f8c4","source":{"kind":"arxiv","id":"2503.19782","version":1},"attestation_state":"computed","paper":{"title":"A comparative study of calibration techniques for finite strain elastoplasticity: Numerically-exact sensitivities for FEMU and VFM","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CE","authors_text":"Brian N. Granzow, D. Thomas Seidl, Jan N. Fuhg, Jin Yang, Sanjeev Kumar","submitted_at":"2025-03-25T15:49:18Z","abstract_excerpt":"Accurate identification of material parameters is crucial for predictive modeling in computational mechanics. The two primary approaches in the experimental mechanics' community for calibration from full-field digital image correlation data are known as finite element model updating (FEMU) and the virtual fields method (VFM). In VFM, the objective function is a squared mismatch between internal and external virtual work or power. In FEMU, the objective function quantifies the weighted mismatch between model predictions and corresponding experimentally measured quantities of interest. It is min"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2503.19782","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CE","submitted_at":"2025-03-25T15:49:18Z","cross_cats_sorted":[],"title_canon_sha256":"5578024483d69c3a1f23dab9f95da390bb6b39a1812951aa0076a76db082f7ff","abstract_canon_sha256":"a69764ffff6a4d2a9b051e984606cd9b32a35336542c93eb40a62bad503f5bc1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:39:01.645110Z","signature_b64":"rr2XxL1b4RwG52l5C8lZYL/lD4HJSIObdFjvoXGgj0gXzuCZ3saWXrn6mkhAjnX6OmQzwCMtLc32YDW16L9LBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"56e74e55c476427a61dc633757aafd2cec4984a7369b892c04d76e7c0054f8c4","last_reissued_at":"2026-07-05T10:39:01.644613Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:39:01.644613Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A comparative study of calibration techniques for finite strain elastoplasticity: Numerically-exact sensitivities for FEMU and VFM","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CE","authors_text":"Brian N. Granzow, D. Thomas Seidl, Jan N. Fuhg, Jin Yang, Sanjeev Kumar","submitted_at":"2025-03-25T15:49:18Z","abstract_excerpt":"Accurate identification of material parameters is crucial for predictive modeling in computational mechanics. The two primary approaches in the experimental mechanics' community for calibration from full-field digital image correlation data are known as finite element model updating (FEMU) and the virtual fields method (VFM). In VFM, the objective function is a squared mismatch between internal and external virtual work or power. In FEMU, the objective function quantifies the weighted mismatch between model predictions and corresponding experimentally measured quantities of interest. It is min"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.19782","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/2503.19782/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2503.19782","created_at":"2026-07-05T10:39:01.644676+00:00"},{"alias_kind":"arxiv_version","alias_value":"2503.19782v1","created_at":"2026-07-05T10:39:01.644676+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.19782","created_at":"2026-07-05T10:39:01.644676+00:00"},{"alias_kind":"pith_short_12","alias_value":"K3TU4VOEOZBH","created_at":"2026-07-05T10:39:01.644676+00:00"},{"alias_kind":"pith_short_16","alias_value":"K3TU4VOEOZBHUYO4","created_at":"2026-07-05T10:39:01.644676+00:00"},{"alias_kind":"pith_short_8","alias_value":"K3TU4VOE","created_at":"2026-07-05T10:39:01.644676+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/K3TU4VOEOZBHUYO4MM3VPKX5FT","json":"https://pith.science/pith/K3TU4VOEOZBHUYO4MM3VPKX5FT.json","graph_json":"https://pith.science/api/pith-number/K3TU4VOEOZBHUYO4MM3VPKX5FT/graph.json","events_json":"https://pith.science/api/pith-number/K3TU4VOEOZBHUYO4MM3VPKX5FT/events.json","paper":"https://pith.science/paper/K3TU4VOE"},"agent_actions":{"view_html":"https://pith.science/pith/K3TU4VOEOZBHUYO4MM3VPKX5FT","download_json":"https://pith.science/pith/K3TU4VOEOZBHUYO4MM3VPKX5FT.json","view_paper":"https://pith.science/paper/K3TU4VOE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2503.19782&json=true","fetch_graph":"https://pith.science/api/pith-number/K3TU4VOEOZBHUYO4MM3VPKX5FT/graph.json","fetch_events":"https://pith.science/api/pith-number/K3TU4VOEOZBHUYO4MM3VPKX5FT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/K3TU4VOEOZBHUYO4MM3VPKX5FT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/K3TU4VOEOZBHUYO4MM3VPKX5FT/action/storage_attestation","attest_author":"https://pith.science/pith/K3TU4VOEOZBHUYO4MM3VPKX5FT/action/author_attestation","sign_citation":"https://pith.science/pith/K3TU4VOEOZBHUYO4MM3VPKX5FT/action/citation_signature","submit_replication":"https://pith.science/pith/K3TU4VOEOZBHUYO4MM3VPKX5FT/action/replication_record"}},"created_at":"2026-07-05T10:39:01.644676+00:00","updated_at":"2026-07-05T10:39:01.644676+00:00"}