{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:P4VVRDNQP55CGPRZAJ62MLIILX","short_pith_number":"pith:P4VVRDNQ","schema_version":"1.0","canonical_sha256":"7f2b588db07f7a233e39027da62d085dd7a208b95e5dcf126dd9ad6c55de8107","source":{"kind":"arxiv","id":"1801.05860","version":1},"attestation_state":"computed","paper":{"title":"Deep Learning of Atomically Resolved Scanning Transmission Electron Microscopy Images: Chemical Identification and Tracking Local Transformations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Artem Maksov, Kai Xiao, Maxim Ziatdinov, Ondrej Dyck, Rama Vasudevan, Raymond R. Unocic, Sergei V. Kalinin, Stephen Jesse, Xiahan Sang, Xufan Li","submitted_at":"2018-01-17T20:45:52Z","abstract_excerpt":"Recent advances in scanning transmission electron and scanning probe microscopies have opened exciting opportunities in probing the materials structural parameters and various functional properties in real space with angstrom-level precision. This progress has been accompanied by an exponential increase in the size and quality of datasets produced by microscopic and spectroscopic experimental techniques. These developments necessitate adequate methods for extracting relevant physical and chemical information from the large datasets, for which a priori information on the structures of various a"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1801.05860","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2018-01-17T20:45:52Z","cross_cats_sorted":[],"title_canon_sha256":"b5e0c2b8e164f6052410a7b47d35991884e46f7330d11e8e5b458abc6077e1a6","abstract_canon_sha256":"8446c4ab12a074c3b81a2db38932c80b6da657033738011c40ae9ad27f3c0b4c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:25:36.404827Z","signature_b64":"DTGBrr9cIDWXupqHtsOnJLDOuX/TUOCMNi92jZTD3ykldl1THXYBju+BXd6XuHfnpzl24Vzz+8ij0JWEbzqLAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7f2b588db07f7a233e39027da62d085dd7a208b95e5dcf126dd9ad6c55de8107","last_reissued_at":"2026-05-18T00:25:36.404174Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:25:36.404174Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Deep Learning of Atomically Resolved Scanning Transmission Electron Microscopy Images: Chemical Identification and Tracking Local Transformations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Artem Maksov, Kai Xiao, Maxim Ziatdinov, Ondrej Dyck, Rama Vasudevan, Raymond R. Unocic, Sergei V. Kalinin, Stephen Jesse, Xiahan Sang, Xufan Li","submitted_at":"2018-01-17T20:45:52Z","abstract_excerpt":"Recent advances in scanning transmission electron and scanning probe microscopies have opened exciting opportunities in probing the materials structural parameters and various functional properties in real space with angstrom-level precision. This progress has been accompanied by an exponential increase in the size and quality of datasets produced by microscopic and spectroscopic experimental techniques. These developments necessitate adequate methods for extracting relevant physical and chemical information from the large datasets, for which a priori information on the structures of various a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.05860","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":""},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1801.05860","created_at":"2026-05-18T00:25:36.404298+00:00"},{"alias_kind":"arxiv_version","alias_value":"1801.05860v1","created_at":"2026-05-18T00:25:36.404298+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.05860","created_at":"2026-05-18T00:25:36.404298+00:00"},{"alias_kind":"pith_short_12","alias_value":"P4VVRDNQP55C","created_at":"2026-05-18T12:32:43.782077+00:00"},{"alias_kind":"pith_short_16","alias_value":"P4VVRDNQP55CGPRZ","created_at":"2026-05-18T12:32:43.782077+00:00"},{"alias_kind":"pith_short_8","alias_value":"P4VVRDNQ","created_at":"2026-05-18T12:32:43.782077+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/P4VVRDNQP55CGPRZAJ62MLIILX","json":"https://pith.science/pith/P4VVRDNQP55CGPRZAJ62MLIILX.json","graph_json":"https://pith.science/api/pith-number/P4VVRDNQP55CGPRZAJ62MLIILX/graph.json","events_json":"https://pith.science/api/pith-number/P4VVRDNQP55CGPRZAJ62MLIILX/events.json","paper":"https://pith.science/paper/P4VVRDNQ"},"agent_actions":{"view_html":"https://pith.science/pith/P4VVRDNQP55CGPRZAJ62MLIILX","download_json":"https://pith.science/pith/P4VVRDNQP55CGPRZAJ62MLIILX.json","view_paper":"https://pith.science/paper/P4VVRDNQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1801.05860&json=true","fetch_graph":"https://pith.science/api/pith-number/P4VVRDNQP55CGPRZAJ62MLIILX/graph.json","fetch_events":"https://pith.science/api/pith-number/P4VVRDNQP55CGPRZAJ62MLIILX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/P4VVRDNQP55CGPRZAJ62MLIILX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/P4VVRDNQP55CGPRZAJ62MLIILX/action/storage_attestation","attest_author":"https://pith.science/pith/P4VVRDNQP55CGPRZAJ62MLIILX/action/author_attestation","sign_citation":"https://pith.science/pith/P4VVRDNQP55CGPRZAJ62MLIILX/action/citation_signature","submit_replication":"https://pith.science/pith/P4VVRDNQP55CGPRZAJ62MLIILX/action/replication_record"}},"created_at":"2026-05-18T00:25:36.404298+00:00","updated_at":"2026-05-18T00:25:36.404298+00:00"}