{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:E55IAL64V6DJ5LQ3E23S6DYZO4","short_pith_number":"pith:E55IAL64","schema_version":"1.0","canonical_sha256":"277a802fdcaf869eae1b26b72f0f197725538a21ca1b26eeb8b3c9a1242bc5c6","source":{"kind":"arxiv","id":"2509.02240","version":1},"attestation_state":"computed","paper":{"title":"Improving atomic force microscopy structure discovery via style-translation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.app-ph"],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Adam S. Foster, Chen Xu, Fabio Priante, Filippo Federici Canova, Jie Huang, Lauri Kurki, Niko Oinonen","submitted_at":"2025-09-02T12:07:59Z","abstract_excerpt":"Atomic force microscopy (AFM) is a key tool for characterising nanoscale structures, with functionalised tips now offering detailed images of the atomic structure. In parallel, AFM simulations using the particle probe model provide a cost-effective approach for rapid AFM image generation. Using state-of-the-art machine learning models and substantial simulated datasets, properties such as molecular structure, electrostatic potential, and molecular graph can be predicted from AFM images. However, transferring model performance from simulated to experimental AFM images poses challenges due to th"},"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":"2509.02240","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-09-02T12:07:59Z","cross_cats_sorted":["physics.app-ph"],"title_canon_sha256":"36361fd4c41290b31f39d0f2181945653e8be577f3b932bf4324286836533de9","abstract_canon_sha256":"502b0f300546f9bb9d892be2b7f714b42a16f6eb3c80bb1d27dfa26e209d1ff4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:03:34.616240Z","signature_b64":"87iw86lKxXCurh8fts4hcAQ9mdV8i0ladWcBLzIVF1vaxLlIQozSfARppvvV429wRwQLZe+j8vq9db5CeymPDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"277a802fdcaf869eae1b26b72f0f197725538a21ca1b26eeb8b3c9a1242bc5c6","last_reissued_at":"2026-07-05T12:03:34.615895Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:03:34.615895Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Improving atomic force microscopy structure discovery via style-translation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.app-ph"],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Adam S. Foster, Chen Xu, Fabio Priante, Filippo Federici Canova, Jie Huang, Lauri Kurki, Niko Oinonen","submitted_at":"2025-09-02T12:07:59Z","abstract_excerpt":"Atomic force microscopy (AFM) is a key tool for characterising nanoscale structures, with functionalised tips now offering detailed images of the atomic structure. In parallel, AFM simulations using the particle probe model provide a cost-effective approach for rapid AFM image generation. Using state-of-the-art machine learning models and substantial simulated datasets, properties such as molecular structure, electrostatic potential, and molecular graph can be predicted from AFM images. However, transferring model performance from simulated to experimental AFM images poses challenges due to th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.02240","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/2509.02240/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2509.02240","created_at":"2026-07-05T12:03:34.615949+00:00"},{"alias_kind":"arxiv_version","alias_value":"2509.02240v1","created_at":"2026-07-05T12:03:34.615949+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.02240","created_at":"2026-07-05T12:03:34.615949+00:00"},{"alias_kind":"pith_short_12","alias_value":"E55IAL64V6DJ","created_at":"2026-07-05T12:03:34.615949+00:00"},{"alias_kind":"pith_short_16","alias_value":"E55IAL64V6DJ5LQ3","created_at":"2026-07-05T12:03:34.615949+00:00"},{"alias_kind":"pith_short_8","alias_value":"E55IAL64","created_at":"2026-07-05T12:03:34.615949+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/E55IAL64V6DJ5LQ3E23S6DYZO4","json":"https://pith.science/pith/E55IAL64V6DJ5LQ3E23S6DYZO4.json","graph_json":"https://pith.science/api/pith-number/E55IAL64V6DJ5LQ3E23S6DYZO4/graph.json","events_json":"https://pith.science/api/pith-number/E55IAL64V6DJ5LQ3E23S6DYZO4/events.json","paper":"https://pith.science/paper/E55IAL64"},"agent_actions":{"view_html":"https://pith.science/pith/E55IAL64V6DJ5LQ3E23S6DYZO4","download_json":"https://pith.science/pith/E55IAL64V6DJ5LQ3E23S6DYZO4.json","view_paper":"https://pith.science/paper/E55IAL64","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2509.02240&json=true","fetch_graph":"https://pith.science/api/pith-number/E55IAL64V6DJ5LQ3E23S6DYZO4/graph.json","fetch_events":"https://pith.science/api/pith-number/E55IAL64V6DJ5LQ3E23S6DYZO4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/E55IAL64V6DJ5LQ3E23S6DYZO4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/E55IAL64V6DJ5LQ3E23S6DYZO4/action/storage_attestation","attest_author":"https://pith.science/pith/E55IAL64V6DJ5LQ3E23S6DYZO4/action/author_attestation","sign_citation":"https://pith.science/pith/E55IAL64V6DJ5LQ3E23S6DYZO4/action/citation_signature","submit_replication":"https://pith.science/pith/E55IAL64V6DJ5LQ3E23S6DYZO4/action/replication_record"}},"created_at":"2026-07-05T12:03:34.615949+00:00","updated_at":"2026-07-05T12:03:34.615949+00:00"}