{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:FNP5OP4FVV5WD2K3FDX2UOM7BK","short_pith_number":"pith:FNP5OP4F","canonical_record":{"source":{"id":"2208.13490","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-08-29T10:47:55Z","cross_cats_sorted":[],"title_canon_sha256":"99126528300329df944d61cc76d86db95d0b741fa530514054265c8c30654ade","abstract_canon_sha256":"1c3333ea9aedcd7a6935f25a9c4ccc36e0f82d6f80946ed670b9b8fee60688aa"},"schema_version":"1.0"},"canonical_sha256":"2b5fd73f85ad7b61e95b28efaa399f0aad6317d7ee43a3686c6a0d112de13f4c","source":{"kind":"arxiv","id":"2208.13490","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.13490","created_at":"2026-07-05T04:52:17Z"},{"alias_kind":"arxiv_version","alias_value":"2208.13490v1","created_at":"2026-07-05T04:52:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.13490","created_at":"2026-07-05T04:52:17Z"},{"alias_kind":"pith_short_12","alias_value":"FNP5OP4FVV5W","created_at":"2026-07-05T04:52:17Z"},{"alias_kind":"pith_short_16","alias_value":"FNP5OP4FVV5WD2K3","created_at":"2026-07-05T04:52:17Z"},{"alias_kind":"pith_short_8","alias_value":"FNP5OP4F","created_at":"2026-07-05T04:52:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:FNP5OP4FVV5WD2K3FDX2UOM7BK","target":"record","payload":{"canonical_record":{"source":{"id":"2208.13490","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-08-29T10:47:55Z","cross_cats_sorted":[],"title_canon_sha256":"99126528300329df944d61cc76d86db95d0b741fa530514054265c8c30654ade","abstract_canon_sha256":"1c3333ea9aedcd7a6935f25a9c4ccc36e0f82d6f80946ed670b9b8fee60688aa"},"schema_version":"1.0"},"canonical_sha256":"2b5fd73f85ad7b61e95b28efaa399f0aad6317d7ee43a3686c6a0d112de13f4c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:52:17.580334Z","signature_b64":"6BfMIAy5dJyshKFKL2Tmkbhf/9VNmOET35cSFsLlBXTcNmO59uJ2TKStSIG2dulhqzykQH3wLP5zZUJbYvSdDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2b5fd73f85ad7b61e95b28efaa399f0aad6317d7ee43a3686c6a0d112de13f4c","last_reissued_at":"2026-07-05T04:52:17.579617Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:52:17.579617Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.13490","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":"2026-07-05T04:52:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3I0S18Z3PTmnhZ97Tge2vy/ub62SR2qHpeRdvVTOV43/MdOUpaXFHE3wZtRNI/jblmm9wpRyvup8+AIZKYLEAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T19:48:17.692355Z"},"content_sha256":"b63288f212f6bb89c28e1853c11059b5df953d3f213369a63a49112357508e32","schema_version":"1.0","event_id":"sha256:b63288f212f6bb89c28e1853c11059b5df953d3f213369a63a49112357508e32"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:FNP5OP4FVV5WD2K3FDX2UOM7BK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Bob Svendsen, Dierk Raabe, Jaber R. Mianroodi, Mohammad S. Khorrami, Nima H. Siboni, Pawan Goyal, Peter Benner","submitted_at":"2022-08-29T10:47:55Z","abstract_excerpt":"The purpose of this work is the development of an artificial neural network (ANN) for surrogate modeling of the mechanical response of viscoplastic grain microstructures. To this end, a U-Net-based convolutional neural network (CNN) is trained to account for the history dependence of the material behavior. The training data take the form of numerical simulation results for the von Mises stress field under quasi-static tensile loading. The trained CNN (tCNN) can accurately reproduce both the average response as well as the local von Mises stress field. The tCNN calculates the von Mises stress f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.13490","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/2208.13490/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":"2026-07-05T04:52:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XBH2MTLLM4nvI8D1brwhDCp1UfvwRr1bM+JHIJrC+SdsDTQCBOXUg6UPkGOStpQys2jePbqnAEqv9+4CKOQ0AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T19:48:17.693321Z"},"content_sha256":"eaee04b61c3e091273a2cdd1d68c17e9d32f3ac7dafa84856e7e87f2c9a836e8","schema_version":"1.0","event_id":"sha256:eaee04b61c3e091273a2cdd1d68c17e9d32f3ac7dafa84856e7e87f2c9a836e8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FNP5OP4FVV5WD2K3FDX2UOM7BK/bundle.json","state_url":"https://pith.science/pith/FNP5OP4FVV5WD2K3FDX2UOM7BK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FNP5OP4FVV5WD2K3FDX2UOM7BK/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":"2026-08-17T19:48:17Z","links":{"resolver":"https://pith.science/pith/FNP5OP4FVV5WD2K3FDX2UOM7BK","bundle":"https://pith.science/pith/FNP5OP4FVV5WD2K3FDX2UOM7BK/bundle.json","state":"https://pith.science/pith/FNP5OP4FVV5WD2K3FDX2UOM7BK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FNP5OP4FVV5WD2K3FDX2UOM7BK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:FNP5OP4FVV5WD2K3FDX2UOM7BK","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":"1c3333ea9aedcd7a6935f25a9c4ccc36e0f82d6f80946ed670b9b8fee60688aa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-08-29T10:47:55Z","title_canon_sha256":"99126528300329df944d61cc76d86db95d0b741fa530514054265c8c30654ade"},"schema_version":"1.0","source":{"id":"2208.13490","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.13490","created_at":"2026-07-05T04:52:17Z"},{"alias_kind":"arxiv_version","alias_value":"2208.13490v1","created_at":"2026-07-05T04:52:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.13490","created_at":"2026-07-05T04:52:17Z"},{"alias_kind":"pith_short_12","alias_value":"FNP5OP4FVV5W","created_at":"2026-07-05T04:52:17Z"},{"alias_kind":"pith_short_16","alias_value":"FNP5OP4FVV5WD2K3","created_at":"2026-07-05T04:52:17Z"},{"alias_kind":"pith_short_8","alias_value":"FNP5OP4F","created_at":"2026-07-05T04:52:17Z"}],"graph_snapshots":[{"event_id":"sha256:eaee04b61c3e091273a2cdd1d68c17e9d32f3ac7dafa84856e7e87f2c9a836e8","target":"graph","created_at":"2026-07-05T04:52:17Z","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/2208.13490/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The purpose of this work is the development of an artificial neural network (ANN) for surrogate modeling of the mechanical response of viscoplastic grain microstructures. To this end, a U-Net-based convolutional neural network (CNN) is trained to account for the history dependence of the material behavior. The training data take the form of numerical simulation results for the von Mises stress field under quasi-static tensile loading. The trained CNN (tCNN) can accurately reproduce both the average response as well as the local von Mises stress field. The tCNN calculates the von Mises stress f","authors_text":"Bob Svendsen, Dierk Raabe, Jaber R. Mianroodi, Mohammad S. Khorrami, Nima H. Siboni, Pawan Goyal, Peter Benner","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-08-29T10:47:55Z","title":"An artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.13490","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:b63288f212f6bb89c28e1853c11059b5df953d3f213369a63a49112357508e32","target":"record","created_at":"2026-07-05T04:52:17Z","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":"1c3333ea9aedcd7a6935f25a9c4ccc36e0f82d6f80946ed670b9b8fee60688aa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-08-29T10:47:55Z","title_canon_sha256":"99126528300329df944d61cc76d86db95d0b741fa530514054265c8c30654ade"},"schema_version":"1.0","source":{"id":"2208.13490","kind":"arxiv","version":1}},"canonical_sha256":"2b5fd73f85ad7b61e95b28efaa399f0aad6317d7ee43a3686c6a0d112de13f4c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2b5fd73f85ad7b61e95b28efaa399f0aad6317d7ee43a3686c6a0d112de13f4c","first_computed_at":"2026-07-05T04:52:17.579617Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:52:17.579617Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6BfMIAy5dJyshKFKL2Tmkbhf/9VNmOET35cSFsLlBXTcNmO59uJ2TKStSIG2dulhqzykQH3wLP5zZUJbYvSdDg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:52:17.580334Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.13490","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b63288f212f6bb89c28e1853c11059b5df953d3f213369a63a49112357508e32","sha256:eaee04b61c3e091273a2cdd1d68c17e9d32f3ac7dafa84856e7e87f2c9a836e8"],"state_sha256":"2f854e6ac78ca1b8d6a1d7e49e80b99cef3fb22c88eab1b4c3f16b0fc12badfa"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HOU5r5N/7cdoJY++212pf2cvorT9MRb+y1tgcH8S2Q4yDq6MkQwYpCXI9q/vcRrRdoCnu68z/ZncmsppNzg5AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T19:48:17.711006Z","bundle_sha256":"a5e09689827f668ad4f4a673cc366c72f25d49997b44a268ab1c2b96cf47e39e"}}