{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:C2D73EYIEFLLDFBRALXMRCPU7W","short_pith_number":"pith:C2D73EYI","canonical_record":{"source":{"id":"2208.13286","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-08-28T20:47:38Z","cross_cats_sorted":["cond-mat.other"],"title_canon_sha256":"794cafdc883d430b8194cc47aa7c10d90cae2ad05633e327a416ad103e9e9f64","abstract_canon_sha256":"44eeba325745a68419261141bc7b6ca3a768c81bf1fc6f15ab5fd5dd70d102aa"},"schema_version":"1.0"},"canonical_sha256":"1687fd93082156b1943102eec889f4fda91d66afc29a4fbc90467327d4f5261e","source":{"kind":"arxiv","id":"2208.13286","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.13286","created_at":"2026-07-05T05:54:12Z"},{"alias_kind":"arxiv_version","alias_value":"2208.13286v1","created_at":"2026-07-05T05:54:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.13286","created_at":"2026-07-05T05:54:12Z"},{"alias_kind":"pith_short_12","alias_value":"C2D73EYIEFLL","created_at":"2026-07-05T05:54:12Z"},{"alias_kind":"pith_short_16","alias_value":"C2D73EYIEFLLDFBR","created_at":"2026-07-05T05:54:12Z"},{"alias_kind":"pith_short_8","alias_value":"C2D73EYI","created_at":"2026-07-05T05:54:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:C2D73EYIEFLLDFBRALXMRCPU7W","target":"record","payload":{"canonical_record":{"source":{"id":"2208.13286","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-08-28T20:47:38Z","cross_cats_sorted":["cond-mat.other"],"title_canon_sha256":"794cafdc883d430b8194cc47aa7c10d90cae2ad05633e327a416ad103e9e9f64","abstract_canon_sha256":"44eeba325745a68419261141bc7b6ca3a768c81bf1fc6f15ab5fd5dd70d102aa"},"schema_version":"1.0"},"canonical_sha256":"1687fd93082156b1943102eec889f4fda91d66afc29a4fbc90467327d4f5261e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:54:12.666204Z","signature_b64":"JWHKyZ2RNwmChlvbncZCsA+OVSAIf0WCVs2WDVSfsHprfcOOLfOkFIPrICQ51G1dtTATWpLNSvglunjfXK4OBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1687fd93082156b1943102eec889f4fda91d66afc29a4fbc90467327d4f5261e","last_reissued_at":"2026-07-05T05:54:12.665709Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:54:12.665709Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.13286","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:54:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OMgxyzH2zdJ1OzPZX1vBbrjovwrTD6++XDOQHpjntNaqBLExAnLmuzLmC+y7IzVUM8FUfyE6WwNEzzmlZ+wdAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T04:08:08.041951Z"},"content_sha256":"868e7ff48a8384bfe721f3ec2e0b21701da29f9746a556a651631e56e10bc49f","schema_version":"1.0","event_id":"sha256:868e7ff48a8384bfe721f3ec2e0b21701da29f9746a556a651631e56e10bc49f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:C2D73EYIEFLLDFBRALXMRCPU7W","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automated Real-Space Lattice Extraction for Atomic Force Microscopy Images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cond-mat.other"],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Alexander Gorfer, Cesare Franchini, Igor Sokolovi\\'c, Lorenzo Papa, Marco Corrias, Martin Setvin, Michael Schmid, Michele Reticcioli, Ulrike Diebold, Viktor Birschitzky","submitted_at":"2022-08-28T20:47:38Z","abstract_excerpt":"Analyzing atomically resolved images is a time-consuming process requiring solid experience and substantial human intervention. In addition, the acquired images contain a large amount of information such as crystal structure, presence and distribution of defects, and formation of domains, which need to be resolved to understand a material's surface structure. Therefore, machine learning techniques have been applied in scanning probe and electron microscopies during the last years, aiming for automatized and efficient image analysis. This work introduces a free and open source tool (AiSurf: Aut"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.13286","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/2208.13286/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:54:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EjeAdhGb66RcxyGnGJag2FtZWKLDqVt6XawdYtYOqDWUQTfeBVYaQr3ZKMdpGa/b96u6mA+FDJEayNBzo0fPDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T04:08:08.042473Z"},"content_sha256":"00558a9088ddf976ffff826db73632b2c48095296599735e9124f42f8c47c4fb","schema_version":"1.0","event_id":"sha256:00558a9088ddf976ffff826db73632b2c48095296599735e9124f42f8c47c4fb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C2D73EYIEFLLDFBRALXMRCPU7W/bundle.json","state_url":"https://pith.science/pith/C2D73EYIEFLLDFBRALXMRCPU7W/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C2D73EYIEFLLDFBRALXMRCPU7W/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-19T04:08:08Z","links":{"resolver":"https://pith.science/pith/C2D73EYIEFLLDFBRALXMRCPU7W","bundle":"https://pith.science/pith/C2D73EYIEFLLDFBRALXMRCPU7W/bundle.json","state":"https://pith.science/pith/C2D73EYIEFLLDFBRALXMRCPU7W/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C2D73EYIEFLLDFBRALXMRCPU7W/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:C2D73EYIEFLLDFBRALXMRCPU7W","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":"44eeba325745a68419261141bc7b6ca3a768c81bf1fc6f15ab5fd5dd70d102aa","cross_cats_sorted":["cond-mat.other"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-08-28T20:47:38Z","title_canon_sha256":"794cafdc883d430b8194cc47aa7c10d90cae2ad05633e327a416ad103e9e9f64"},"schema_version":"1.0","source":{"id":"2208.13286","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.13286","created_at":"2026-07-05T05:54:12Z"},{"alias_kind":"arxiv_version","alias_value":"2208.13286v1","created_at":"2026-07-05T05:54:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.13286","created_at":"2026-07-05T05:54:12Z"},{"alias_kind":"pith_short_12","alias_value":"C2D73EYIEFLL","created_at":"2026-07-05T05:54:12Z"},{"alias_kind":"pith_short_16","alias_value":"C2D73EYIEFLLDFBR","created_at":"2026-07-05T05:54:12Z"},{"alias_kind":"pith_short_8","alias_value":"C2D73EYI","created_at":"2026-07-05T05:54:12Z"}],"graph_snapshots":[{"event_id":"sha256:00558a9088ddf976ffff826db73632b2c48095296599735e9124f42f8c47c4fb","target":"graph","created_at":"2026-07-05T05:54:12Z","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/2208.13286/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Analyzing atomically resolved images is a time-consuming process requiring solid experience and substantial human intervention. In addition, the acquired images contain a large amount of information such as crystal structure, presence and distribution of defects, and formation of domains, which need to be resolved to understand a material's surface structure. Therefore, machine learning techniques have been applied in scanning probe and electron microscopies during the last years, aiming for automatized and efficient image analysis. This work introduces a free and open source tool (AiSurf: Aut","authors_text":"Alexander Gorfer, Cesare Franchini, Igor Sokolovi\\'c, Lorenzo Papa, Marco Corrias, Martin Setvin, Michael Schmid, Michele Reticcioli, Ulrike Diebold, Viktor Birschitzky","cross_cats":["cond-mat.other"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-08-28T20:47:38Z","title":"Automated Real-Space Lattice Extraction for Atomic Force Microscopy Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.13286","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":"sha256:868e7ff48a8384bfe721f3ec2e0b21701da29f9746a556a651631e56e10bc49f","target":"record","created_at":"2026-07-05T05:54:12Z","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":"44eeba325745a68419261141bc7b6ca3a768c81bf1fc6f15ab5fd5dd70d102aa","cross_cats_sorted":["cond-mat.other"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-08-28T20:47:38Z","title_canon_sha256":"794cafdc883d430b8194cc47aa7c10d90cae2ad05633e327a416ad103e9e9f64"},"schema_version":"1.0","source":{"id":"2208.13286","kind":"arxiv","version":1}},"canonical_sha256":"1687fd93082156b1943102eec889f4fda91d66afc29a4fbc90467327d4f5261e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1687fd93082156b1943102eec889f4fda91d66afc29a4fbc90467327d4f5261e","first_computed_at":"2026-07-05T05:54:12.665709Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:54:12.665709Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JWHKyZ2RNwmChlvbncZCsA+OVSAIf0WCVs2WDVSfsHprfcOOLfOkFIPrICQ51G1dtTATWpLNSvglunjfXK4OBw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:54:12.666204Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.13286","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:868e7ff48a8384bfe721f3ec2e0b21701da29f9746a556a651631e56e10bc49f","sha256:00558a9088ddf976ffff826db73632b2c48095296599735e9124f42f8c47c4fb"],"state_sha256":"b67e0f9bb3309e1e70ba7db5769a1fe9b24b816262359225d3d29b9d4ed7c367"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OGtygrR3BLvzAvu8hRFApqRVpEKobZcQFEGVdQs4DXA2aj6AWDrQGjMlBUtlfPDB84ej+c9N076rD9OkKgcCBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T04:08:08.048446Z","bundle_sha256":"76c445fed43c4ad27cd199c2bb762df686b9fccb99301eb357ad0e2eca44e3e7"}}