{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:KOSDZ5BTP75W5DFUZJYE4OKOHB","short_pith_number":"pith:KOSDZ5BT","canonical_record":{"source":{"id":"2306.14845","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mes-hall","submitted_at":"2023-06-26T16:56:58Z","cross_cats_sorted":[],"title_canon_sha256":"cad114e2ced45184cdc961f1f4121c9ef6d3017d8d1f1958ad66ccecc3939713","abstract_canon_sha256":"80bdaca994dee57d9a11c0340542382eb18e40aded4ecc08fa347451e240f03b"},"schema_version":"1.0"},"canonical_sha256":"53a43cf4337ffb6e8cb4ca704e394e386f4e76366c92d3ca96480eeb0d8c69c4","source":{"kind":"arxiv","id":"2306.14845","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.14845","created_at":"2026-07-05T07:56:15Z"},{"alias_kind":"arxiv_version","alias_value":"2306.14845v3","created_at":"2026-07-05T07:56:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.14845","created_at":"2026-07-05T07:56:15Z"},{"alias_kind":"pith_short_12","alias_value":"KOSDZ5BTP75W","created_at":"2026-07-05T07:56:15Z"},{"alias_kind":"pith_short_16","alias_value":"KOSDZ5BTP75W5DFU","created_at":"2026-07-05T07:56:15Z"},{"alias_kind":"pith_short_8","alias_value":"KOSDZ5BT","created_at":"2026-07-05T07:56:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:KOSDZ5BTP75W5DFUZJYE4OKOHB","target":"record","payload":{"canonical_record":{"source":{"id":"2306.14845","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mes-hall","submitted_at":"2023-06-26T16:56:58Z","cross_cats_sorted":[],"title_canon_sha256":"cad114e2ced45184cdc961f1f4121c9ef6d3017d8d1f1958ad66ccecc3939713","abstract_canon_sha256":"80bdaca994dee57d9a11c0340542382eb18e40aded4ecc08fa347451e240f03b"},"schema_version":"1.0"},"canonical_sha256":"53a43cf4337ffb6e8cb4ca704e394e386f4e76366c92d3ca96480eeb0d8c69c4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:56:15.740409Z","signature_b64":"8sldK/j0/5MwDCmpc1ybXHdGY5iYRZj5qOuBDx7ndDPsgdlHTLzO27nJm+r9Z5LNKwxkFrbwgm2eYJxb+F5fAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"53a43cf4337ffb6e8cb4ca704e394e386f4e76366c92d3ca96480eeb0d8c69c4","last_reissued_at":"2026-07-05T07:56:15.739867Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:56:15.739867Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.14845","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:56:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PJIFx3CIWRhD8SWGhxNzZeaJcP0Po5WhmkLLnEY0t8OSuLXHK6JZx6c6OO0n2bJWRBIgPkvx0eMxfF+S5+bYAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T20:47:54.136995Z"},"content_sha256":"f5a6b4f539fb2d40c9c398c185d2853011f4343ce163bbcf53db9c0cbf0f4d04","schema_version":"1.0","event_id":"sha256:f5a6b4f539fb2d40c9c398c185d2853011f4343ce163bbcf53db9c0cbf0f4d04"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:KOSDZ5BTP75W5DFUZJYE4OKOHB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An open-source robust machine learning platform for real-time detection and classification of 2D material flakes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mes-hall","authors_text":"Alexey Nekrasov, Bernd Beschoten, Christoph Stampfer, David Tebbe, Jan-Lucas Uslu, Jo Henri Bertram, Kenji Watanabe, Lutz Waldecker, Marc Sch\\\"utte, Takashi Taniguchi, Taoufiq Ouaj","submitted_at":"2023-06-26T16:56:58Z","abstract_excerpt":"The most widely used method for obtaining high-quality two-dimensional materials is through mechanical exfoliation of bulk crystals. Manual identification of suitable flakes from the resulting random distribution of crystal thicknesses and sizes on a substrate is a time-consuming, tedious task. Here, we present a platform for fully automated scanning, detection, and classification of two-dimensional materials, the source code of which we make openly available. Our platform is designed to be accurate, reliable, fast, and versatile in integrating new materials, making it suitable for everyday la"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.14845","kind":"arxiv","version":3},"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/2306.14845/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":"2026-07-05T07:56:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/XQx3Yg8Ysr3/ijpehVRthgsHG3SHEZ8PCL9Yt1cCpEKPsnY7AI88zbMXS4RXpivkV246HzBP2X95PImlo/RCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T20:47:54.137389Z"},"content_sha256":"f93d6edcd8f643498540404e1751eb735ff0f8922833a30e648fb55dcffd40e4","schema_version":"1.0","event_id":"sha256:f93d6edcd8f643498540404e1751eb735ff0f8922833a30e648fb55dcffd40e4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KOSDZ5BTP75W5DFUZJYE4OKOHB/bundle.json","state_url":"https://pith.science/pith/KOSDZ5BTP75W5DFUZJYE4OKOHB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KOSDZ5BTP75W5DFUZJYE4OKOHB/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":"2026-07-06T20:47:54Z","links":{"resolver":"https://pith.science/pith/KOSDZ5BTP75W5DFUZJYE4OKOHB","bundle":"https://pith.science/pith/KOSDZ5BTP75W5DFUZJYE4OKOHB/bundle.json","state":"https://pith.science/pith/KOSDZ5BTP75W5DFUZJYE4OKOHB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KOSDZ5BTP75W5DFUZJYE4OKOHB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:KOSDZ5BTP75W5DFUZJYE4OKOHB","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":"80bdaca994dee57d9a11c0340542382eb18e40aded4ecc08fa347451e240f03b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mes-hall","submitted_at":"2023-06-26T16:56:58Z","title_canon_sha256":"cad114e2ced45184cdc961f1f4121c9ef6d3017d8d1f1958ad66ccecc3939713"},"schema_version":"1.0","source":{"id":"2306.14845","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.14845","created_at":"2026-07-05T07:56:15Z"},{"alias_kind":"arxiv_version","alias_value":"2306.14845v3","created_at":"2026-07-05T07:56:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.14845","created_at":"2026-07-05T07:56:15Z"},{"alias_kind":"pith_short_12","alias_value":"KOSDZ5BTP75W","created_at":"2026-07-05T07:56:15Z"},{"alias_kind":"pith_short_16","alias_value":"KOSDZ5BTP75W5DFU","created_at":"2026-07-05T07:56:15Z"},{"alias_kind":"pith_short_8","alias_value":"KOSDZ5BT","created_at":"2026-07-05T07:56:15Z"}],"graph_snapshots":[{"event_id":"sha256:f93d6edcd8f643498540404e1751eb735ff0f8922833a30e648fb55dcffd40e4","target":"graph","created_at":"2026-07-05T07:56:15Z","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/2306.14845/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The most widely used method for obtaining high-quality two-dimensional materials is through mechanical exfoliation of bulk crystals. Manual identification of suitable flakes from the resulting random distribution of crystal thicknesses and sizes on a substrate is a time-consuming, tedious task. Here, we present a platform for fully automated scanning, detection, and classification of two-dimensional materials, the source code of which we make openly available. Our platform is designed to be accurate, reliable, fast, and versatile in integrating new materials, making it suitable for everyday la","authors_text":"Alexey Nekrasov, Bernd Beschoten, Christoph Stampfer, David Tebbe, Jan-Lucas Uslu, Jo Henri Bertram, Kenji Watanabe, Lutz Waldecker, Marc Sch\\\"utte, Takashi Taniguchi, Taoufiq Ouaj","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mes-hall","submitted_at":"2023-06-26T16:56:58Z","title":"An open-source robust machine learning platform for real-time detection and classification of 2D material flakes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.14845","kind":"arxiv","version":3},"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:f5a6b4f539fb2d40c9c398c185d2853011f4343ce163bbcf53db9c0cbf0f4d04","target":"record","created_at":"2026-07-05T07:56:15Z","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":"80bdaca994dee57d9a11c0340542382eb18e40aded4ecc08fa347451e240f03b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mes-hall","submitted_at":"2023-06-26T16:56:58Z","title_canon_sha256":"cad114e2ced45184cdc961f1f4121c9ef6d3017d8d1f1958ad66ccecc3939713"},"schema_version":"1.0","source":{"id":"2306.14845","kind":"arxiv","version":3}},"canonical_sha256":"53a43cf4337ffb6e8cb4ca704e394e386f4e76366c92d3ca96480eeb0d8c69c4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"53a43cf4337ffb6e8cb4ca704e394e386f4e76366c92d3ca96480eeb0d8c69c4","first_computed_at":"2026-07-05T07:56:15.739867Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:56:15.739867Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8sldK/j0/5MwDCmpc1ybXHdGY5iYRZj5qOuBDx7ndDPsgdlHTLzO27nJm+r9Z5LNKwxkFrbwgm2eYJxb+F5fAw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:56:15.740409Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.14845","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f5a6b4f539fb2d40c9c398c185d2853011f4343ce163bbcf53db9c0cbf0f4d04","sha256:f93d6edcd8f643498540404e1751eb735ff0f8922833a30e648fb55dcffd40e4"],"state_sha256":"a55841616f749180e5cd6b6e8c6b2baa114dd1ff0debe17e785536dbab06dd4d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cox/LWb7N7dYSPjFwnaPyVyejFpatkARlMSPQzu3IEpqf7p3agH7ia4EvE8CK+O3agbsZgdOjTAIcq+xMnyFDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T20:47:54.139406Z","bundle_sha256":"f3be1022dbbb35c8842c898c34b25e0b3b3d8535616287acfe645927e6effded"}}