{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:5VHZGEYVCCQBYTKIAADJR5JJXM","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":"a6f1cd451f6713311a7279ad177e0d5708001ffc0b33ebe33cd7e96e400902aa","cross_cats_sorted":["cond-mat.mtrl-sci","cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-09-17T14:23:55Z","title_canon_sha256":"539043c758c9e83b808dd7498f814fa0d90df351d95c197034160c7f25e8f286"},"schema_version":"1.0","source":{"id":"2009.08328","kind":"arxiv","version":7}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.08328","created_at":"2026-07-05T02:20:56Z"},{"alias_kind":"arxiv_version","alias_value":"2009.08328v7","created_at":"2026-07-05T02:20:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.08328","created_at":"2026-07-05T02:20:56Z"},{"alias_kind":"pith_short_12","alias_value":"5VHZGEYVCCQB","created_at":"2026-07-05T02:20:56Z"},{"alias_kind":"pith_short_16","alias_value":"5VHZGEYVCCQBYTKI","created_at":"2026-07-05T02:20:56Z"},{"alias_kind":"pith_short_8","alias_value":"5VHZGEYV","created_at":"2026-07-05T02:20:56Z"}],"graph_snapshots":[{"event_id":"sha256:3e48191bcf2128ca23070379016b7a43d940057f0b5dc48c74cabad813332530","target":"graph","created_at":"2026-07-05T02:20:56Z","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/2009.08328/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning is transforming most areas of science and technology, including electron microscopy. This review paper offers a practical perspective aimed at developers with limited familiarity. For context, we review popular applications of deep learning in electron microscopy. Afterwards, we discuss hardware and software needed to get started with deep learning and interface with electron microscopes. We then review neural network components, popular architectures, and their optimization. Finally, we discuss future directions of deep learning in electron microscopy.","authors_text":"Jeffrey M. Ede","cross_cats":["cond-mat.mtrl-sci","cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-09-17T14:23:55Z","title":"Review: Deep Learning in Electron Microscopy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.08328","kind":"arxiv","version":7},"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":"sha256:3df694da570752999e08cb2e1a6e83f06a6461cbbff26d1cd6014bf9799ab26f","target":"record","created_at":"2026-07-05T02:20:56Z","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":"a6f1cd451f6713311a7279ad177e0d5708001ffc0b33ebe33cd7e96e400902aa","cross_cats_sorted":["cond-mat.mtrl-sci","cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-09-17T14:23:55Z","title_canon_sha256":"539043c758c9e83b808dd7498f814fa0d90df351d95c197034160c7f25e8f286"},"schema_version":"1.0","source":{"id":"2009.08328","kind":"arxiv","version":7}},"canonical_sha256":"ed4f93131510a01c4d48000698f529bb032d934ef62816fe8b5e9d1f41648180","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ed4f93131510a01c4d48000698f529bb032d934ef62816fe8b5e9d1f41648180","first_computed_at":"2026-07-05T02:20:56.724597Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:20:56.724597Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BLFxpPHaLA4xb9vzN7EpREdh/gi/BWiGjT6Hi+FHuFMe1L7VwZZyyynue/qSqO5OcnYfGHfv8fSoY4AdzS+iAg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:20:56.725012Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.08328","source_kind":"arxiv","source_version":7}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3df694da570752999e08cb2e1a6e83f06a6461cbbff26d1cd6014bf9799ab26f","sha256:3e48191bcf2128ca23070379016b7a43d940057f0b5dc48c74cabad813332530"],"state_sha256":"406ce495f95a686cc15a00bf9682caebd589b4e3841cea78787282b0cbcd8083"}