{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:GTKFZPFT4GGEVEII3TTQVIJP2I","merge_version":"pith-open-graph-merge-v1","event_count":6,"valid_event_count":6,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"ee2ede487dc69d933f54d83a38c7ef0904fde11e549ee4fdbc3cdb7a4ded0f84","cross_cats_sorted":["cond-mat.mtrl-sci","cs.NA","math.NA","physics.comp-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-15T10:31:08Z","title_canon_sha256":"6fab57ad78eea26fbd834388969288d74a6c86528bf2aec659e9f908f880ef54"},"schema_version":"1.0","source":{"id":"2607.13688","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.13688","created_at":"2026-07-16T01:23:00Z"},{"alias_kind":"arxiv_version","alias_value":"2607.13688v1","created_at":"2026-07-16T01:23:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.13688","created_at":"2026-07-16T01:23:00Z"},{"alias_kind":"pith_short_12","alias_value":"GTKFZPFT4GGE","created_at":"2026-07-16T01:23:00Z"},{"alias_kind":"pith_short_16","alias_value":"GTKFZPFT4GGEVEII","created_at":"2026-07-16T01:23:00Z"},{"alias_kind":"pith_short_8","alias_value":"GTKFZPFT","created_at":"2026-07-16T01:23:00Z"}],"graph_snapshots":[{"event_id":"sha256:c12b30e9fc36b480bf009bb4c86f63d65c8451729247a4cfe1e3184a59ca7a43","target":"graph","created_at":"2026-07-16T01:23:00Z","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/2607.13688/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Emerging sustainable materials increasingly rely on engineered hierarchy and microstructure to achieve control of their properties and mechanical behavior. Optimizing these materials with controllable microstructures requires efficient multiscale simulations. Data-driven surrogate models for the microscale can accelerate multiscale simulations, but require large amounts of data even for a fixed microstructure. When a range of microstructures is considered, as is the case in multiscale optimization, even more data is needed to train a surrogate. To overcome this challenge, we condition a hybrid","authors_text":"F.P. van der Meer, I.B.C.M. Rocha, J. Storm, K. Masania, S. Schyck","cross_cats":["cond-mat.mtrl-sci","cs.NA","math.NA","physics.comp-ph"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-15T10:31:08Z","title":"Microstructure-Conditioned Surrogate Models for Graded Multiscale Optimization of Mycelium Composites"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.13688","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:bf2b1392fb2d7595e94fc882e2942badc8082d895c255573e48616cd0473c13c","target":"record","created_at":"2026-07-16T01:23:00Z","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":"ee2ede487dc69d933f54d83a38c7ef0904fde11e549ee4fdbc3cdb7a4ded0f84","cross_cats_sorted":["cond-mat.mtrl-sci","cs.NA","math.NA","physics.comp-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-15T10:31:08Z","title_canon_sha256":"6fab57ad78eea26fbd834388969288d74a6c86528bf2aec659e9f908f880ef54"},"schema_version":"1.0","source":{"id":"2607.13688","kind":"arxiv","version":1}},"canonical_sha256":"34d45cbcb3e18c4a9108dce70aa12fd22475c9554c5b480474a0ffb868b612bb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"34d45cbcb3e18c4a9108dce70aa12fd22475c9554c5b480474a0ffb868b612bb","first_computed_at":"2026-07-16T01:23:00.866268Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-16T01:23:00.866268Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"i65yYhV730iYNfRp9mVap22ZfoVoRTuZeFZaVFan+mYd/+D4iQ6u/unRC0nA9I8c/jq8l7Zn5DAc7v5hLEH6Dw==","signature_status":"signed_v1","signed_at":"2026-07-16T01:23:00.867159Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.13688","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:11e34b985e8276b0a9b9fd58278616298b4e0d3e7287fc929b89bff229d2f41e","sha256:63790da25aeae97d3f1fd695806dff0f5f8a917799d8d9660370d2e8bd2b6db3","sha256:a8c37b013dd57056e20389b49bcc419419ff13fca520ddde75c5090bf012ecee","sha256:fd67f367a2370c26bd9b090625feea0255ef5a7b5b79c93477bd410edc5f99ca"]}],"invalid_events":[],"applied_event_ids":["sha256:bf2b1392fb2d7595e94fc882e2942badc8082d895c255573e48616cd0473c13c","sha256:c12b30e9fc36b480bf009bb4c86f63d65c8451729247a4cfe1e3184a59ca7a43"],"state_sha256":"2babd067248d237c2af1189c0d379e7d893edb52490dbb2e211265e3a3988cc2"}