{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:PCQDTSBJ2MEPNQ2UUWPIPPI64P","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":"b95a99a55ee012b757877f50735301f8b65e415c198e20133f5362e174af3fa3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-22T09:20:00Z","title_canon_sha256":"68ad3c95ffe7da9b4b78627c0359820ef39de69be2bb4878d35995de491cfb5c"},"schema_version":"1.0","source":{"id":"2508.16239","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.16239","created_at":"2026-07-05T11:57:44Z"},{"alias_kind":"arxiv_version","alias_value":"2508.16239v1","created_at":"2026-07-05T11:57:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.16239","created_at":"2026-07-05T11:57:44Z"},{"alias_kind":"pith_short_12","alias_value":"PCQDTSBJ2MEP","created_at":"2026-07-05T11:57:44Z"},{"alias_kind":"pith_short_16","alias_value":"PCQDTSBJ2MEPNQ2U","created_at":"2026-07-05T11:57:44Z"},{"alias_kind":"pith_short_8","alias_value":"PCQDTSBJ","created_at":"2026-07-05T11:57:44Z"}],"graph_snapshots":[{"event_id":"sha256:21207ea1101e9b787068dd5543a4ceb0ce5fd75aa0162dbd47eb9ff57866a4f5","target":"graph","created_at":"2026-07-05T11:57:44Z","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/2508.16239/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quantitative microstructural characterization is fundamental to materials science, where electron micrograph (EM) provides indispensable high-resolution insights. However, progress in deep learning-based EM characterization has been hampered by the scarcity of large-scale, diverse, and expert-annotated datasets, due to acquisition costs, privacy concerns, and annotation complexity. To address this issue, we introduce UniEM-3M, the first large-scale and multimodal EM dataset for instance-level understanding. It comprises 5,091 high-resolution EMs, about 3 million instance segmentation labels, a","authors_text":"Guolin Ke, Haoyi Tao, Linfeng Zhang, Nan Wang, Shi Tang, Xiaochen Cai, Xi Fang, Yanhui Hong, Yiming Li, Zhiyi Xia, Zuxin Fan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-22T09:20:00Z","title":"UniEM-3M: A Universal Electron Micrograph Dataset for Microstructural Segmentation and Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.16239","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:d8f24711ab772260b3443758dce21f779fb28e216e5341f4f1123840e1499f6b","target":"record","created_at":"2026-07-05T11:57:44Z","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":"b95a99a55ee012b757877f50735301f8b65e415c198e20133f5362e174af3fa3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-22T09:20:00Z","title_canon_sha256":"68ad3c95ffe7da9b4b78627c0359820ef39de69be2bb4878d35995de491cfb5c"},"schema_version":"1.0","source":{"id":"2508.16239","kind":"arxiv","version":1}},"canonical_sha256":"78a039c829d308f6c354a59e87bd1ee3d8d4150c56510a20807759506ef8d52e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"78a039c829d308f6c354a59e87bd1ee3d8d4150c56510a20807759506ef8d52e","first_computed_at":"2026-07-05T11:57:44.521928Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:57:44.521928Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JEZdbEf1mKr9aGr4QzLKpU0j7IeIJxz1sYPcHYkO0cIBnYuCvy8cxAQX8Pe1Ncw6ydhkpDK3nnG/ldPa1dXrBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:57:44.522962Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.16239","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d8f24711ab772260b3443758dce21f779fb28e216e5341f4f1123840e1499f6b","sha256:21207ea1101e9b787068dd5543a4ceb0ce5fd75aa0162dbd47eb9ff57866a4f5"],"state_sha256":"466d65d7d9290bb2517348cf8a46247ee706516e2c132ffdf505c92d4121f3d1"}