{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:MQGUWH6DCGOQ4ERUXKRSSCC6PF","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":"8373405ff4512e94f3634733a45732069b74b908d49372afed0957984d25fa77","cross_cats_sorted":["cond-mat.soft","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2023-03-21T19:45:59Z","title_canon_sha256":"d84da3d10bd3326ab36ddf3b430559846371f70f0482a11b39f683dbdb578a22"},"schema_version":"1.0","source":{"id":"2303.12164","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.12164","created_at":"2026-07-05T05:53:38Z"},{"alias_kind":"arxiv_version","alias_value":"2303.12164v1","created_at":"2026-07-05T05:53:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.12164","created_at":"2026-07-05T05:53:38Z"},{"alias_kind":"pith_short_12","alias_value":"MQGUWH6DCGOQ","created_at":"2026-07-05T05:53:38Z"},{"alias_kind":"pith_short_16","alias_value":"MQGUWH6DCGOQ4ERU","created_at":"2026-07-05T05:53:38Z"},{"alias_kind":"pith_short_8","alias_value":"MQGUWH6D","created_at":"2026-07-05T05:53:38Z"}],"graph_snapshots":[{"event_id":"sha256:abdc0d8827d09de58180fe3f6c31e7440292a0c426d05000e653c7e5874f96c1","target":"graph","created_at":"2026-07-05T05:53:38Z","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/2303.12164/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The constitutive behavior of polymeric materials is often modeled by finite linear viscoelastic (FLV) or quasi-linear viscoelastic (QLV) models. These popular models are simplifications that typically cannot accurately capture the nonlinear viscoelastic behavior of materials. For example, the success of attempts to capture strain rate-dependent behavior has been limited so far. To overcome this problem, we introduce viscoelastic Constitutive Artificial Neural Networks (vCANNs), a novel physics-informed machine learning framework for anisotropic nonlinear viscoelasticity at finite strains. vCAN","authors_text":"Christian J. Cyron, Kevin Linka, Kian P. Abdolazizi","cross_cats":["cond-mat.soft","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2023-03-21T19:45:59Z","title":"Viscoelastic Constitutive Artificial Neural Networks (vCANNs) $-$ a framework for data-driven anisotropic nonlinear finite viscoelasticity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.12164","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":"sha256:16e9cac70262037b5dc7ecda3be4c5bf766955afd8980ddd144e5b4eff7d236b","target":"record","created_at":"2026-07-05T05:53:38Z","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":"8373405ff4512e94f3634733a45732069b74b908d49372afed0957984d25fa77","cross_cats_sorted":["cond-mat.soft","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2023-03-21T19:45:59Z","title_canon_sha256":"d84da3d10bd3326ab36ddf3b430559846371f70f0482a11b39f683dbdb578a22"},"schema_version":"1.0","source":{"id":"2303.12164","kind":"arxiv","version":1}},"canonical_sha256":"640d4b1fc3119d0e1234baa329085e7974509c33cf038ec5a4302cef26272d1d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"640d4b1fc3119d0e1234baa329085e7974509c33cf038ec5a4302cef26272d1d","first_computed_at":"2026-07-05T05:53:38.056649Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:53:38.056649Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TjiS/8cVwm+1H2wCZO0PVuKWGhzT5LUtmOh73+TwiOGKjlNFUrtPzyQVe4GR/Vey1YG6AKLLgCs8f52KFY2gCg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:53:38.056990Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.12164","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:16e9cac70262037b5dc7ecda3be4c5bf766955afd8980ddd144e5b4eff7d236b","sha256:abdc0d8827d09de58180fe3f6c31e7440292a0c426d05000e653c7e5874f96c1"],"state_sha256":"28844a9181080290b256c29d7b68fafe7844558666a9d7c68a4ea6ea0fcabd24"}