{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7YKCPCW5T3JN2YRLWDVEMX5J4O","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":"71ec9737dcf1dd8f1b685f9653feb9f99ff1adf25c304b0640b9ad42fad6eece","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CE","submitted_at":"2025-01-05T21:40:16Z","title_canon_sha256":"f8d2cb2e50818b9c44117f036810440e908eeeacd46ed29b539722934a583082"},"schema_version":"1.0","source":{"id":"2501.02670","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.02670","created_at":"2026-07-05T09:57:10Z"},{"alias_kind":"arxiv_version","alias_value":"2501.02670v1","created_at":"2026-07-05T09:57:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.02670","created_at":"2026-07-05T09:57:10Z"},{"alias_kind":"pith_short_12","alias_value":"7YKCPCW5T3JN","created_at":"2026-07-05T09:57:10Z"},{"alias_kind":"pith_short_16","alias_value":"7YKCPCW5T3JN2YRL","created_at":"2026-07-05T09:57:10Z"},{"alias_kind":"pith_short_8","alias_value":"7YKCPCW5","created_at":"2026-07-05T09:57:10Z"}],"graph_snapshots":[{"event_id":"sha256:269df39203c38bf045f27ce0d6bad37ffc8542504cb5473d9d0579551e940b97","target":"graph","created_at":"2026-07-05T09:57:10Z","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/2501.02670/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We apply physics-augmented neural network (PANN) constitutive models to experimental uniaxial tensile data of rubber-like materials whose behavior depends on manufacturing parameters. For this, we conduct experimental investigations on a 3D printed digital material at different mix ratios and consider several datasets from literature, including Ecoflex at different Shore hardness and a photocured 3D printing material at different grayscale values. We introduce a parametrized hyperelastic PANN model which can represent material behavior at different manufacturing parameters. The proposed model ","authors_text":"Antonio J. Gil, Dominik K. Klein, Konstantin Kikinov, Maximilian Kannapinn, Mokarram Hossain, Stephan Rudykh","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CE","submitted_at":"2025-01-05T21:40:16Z","title":"Neural networks meet hyperelasticity: A monotonic approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.02670","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":"sha256:72237334a505db2e7c56608336b3841508b94235a2da9a92ccf3a43c991e93c1","target":"record","created_at":"2026-07-05T09:57:10Z","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":"71ec9737dcf1dd8f1b685f9653feb9f99ff1adf25c304b0640b9ad42fad6eece","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CE","submitted_at":"2025-01-05T21:40:16Z","title_canon_sha256":"f8d2cb2e50818b9c44117f036810440e908eeeacd46ed29b539722934a583082"},"schema_version":"1.0","source":{"id":"2501.02670","kind":"arxiv","version":1}},"canonical_sha256":"fe14278add9ed2dd622bb0ea465fa9e39c2ecbc3ec7b10d2c01b6ecc43c35220","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fe14278add9ed2dd622bb0ea465fa9e39c2ecbc3ec7b10d2c01b6ecc43c35220","first_computed_at":"2026-07-05T09:57:10.517953Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:57:10.517953Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wtGpafqYnvZNNxv4FgdpWObVA+uVee6ZmoJ08D/BvWlTlvVuCDou9V0Lhs0YFUMv6urPPFFd21NIHMnSXYgzBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:57:10.518371Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.02670","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:72237334a505db2e7c56608336b3841508b94235a2da9a92ccf3a43c991e93c1","sha256:269df39203c38bf045f27ce0d6bad37ffc8542504cb5473d9d0579551e940b97"],"state_sha256":"d7bf202798be44994ef662a7dd5f151ccd86062a098d87ef817387cb89636d80"}