{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4TF5E2U5I6TQTWES5UI3TTOIWY","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":"e0309b4263648868070bc3e297f407b7c13da9823fe77f00bd8ff50e7e11d2de","cross_cats_sorted":["cs.HC","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-09-19T04:51:13Z","title_canon_sha256":"0a3ecf4289124dec3c2691713ea1d266e3dcff92fdceb6f61f712c83bec89e9b"},"schema_version":"1.0","source":{"id":"2409.12462","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.12462","created_at":"2026-07-05T09:09:26Z"},{"alias_kind":"arxiv_version","alias_value":"2409.12462v2","created_at":"2026-07-05T09:09:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.12462","created_at":"2026-07-05T09:09:26Z"},{"alias_kind":"pith_short_12","alias_value":"4TF5E2U5I6TQ","created_at":"2026-07-05T09:09:26Z"},{"alias_kind":"pith_short_16","alias_value":"4TF5E2U5I6TQTWES","created_at":"2026-07-05T09:09:26Z"},{"alias_kind":"pith_short_8","alias_value":"4TF5E2U5","created_at":"2026-07-05T09:09:26Z"}],"graph_snapshots":[{"event_id":"sha256:5cf502eca550c8f270cd537d0fbf021e5d3fb820052e7f7890fab1732f169607","target":"graph","created_at":"2026-07-05T09:09:26Z","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/2409.12462/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automated experiments in scanning transmission electron microscopy (STEM) require rapid image segmentation to optimize data representation for human interpretation, decision-making, site-selective spectroscopies, and atomic manipulation. Currently, segmentation tasks are typically performed using supervised machine learning methods, which require human-labeled data and are sensitive to out-of-distribution drift effects caused by changes in resolution, sampling, or beam shape. Here, we operationalize and benchmark a recently proposed reward-driven optimization workflow for on-the fly image anal","authors_text":"Austin C. Houston, Gerd Duscher, Kamyar Barakati, Sergei V. Kalinin, Utkarsh Pratiush","cross_cats":["cs.HC","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-09-19T04:51:13Z","title":"Unsupervised Reward-Driven Image Segmentation in Automated Scanning Transmission Electron Microscopy Experiments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.12462","kind":"arxiv","version":2},"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":"sha256:1d4e0a21f52d4e3d7581cbac6f095d4cb75bb9e275161b1eda57a42582fa1184","target":"record","created_at":"2026-07-05T09:09:26Z","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":"e0309b4263648868070bc3e297f407b7c13da9823fe77f00bd8ff50e7e11d2de","cross_cats_sorted":["cs.HC","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-09-19T04:51:13Z","title_canon_sha256":"0a3ecf4289124dec3c2691713ea1d266e3dcff92fdceb6f61f712c83bec89e9b"},"schema_version":"1.0","source":{"id":"2409.12462","kind":"arxiv","version":2}},"canonical_sha256":"e4cbd26a9d47a709d892ed11b9cdc8b60058c695f8dc4afe5634c4feea3b4b40","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e4cbd26a9d47a709d892ed11b9cdc8b60058c695f8dc4afe5634c4feea3b4b40","first_computed_at":"2026-07-05T09:09:26.654966Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:09:26.654966Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"69su9Pz56D5TSBBpr6vIpqctCOLX/XP07l2drzAzD1nPlGCIa/TojtvGgSAs2Y6oGBr8k1lI2QqPCol849KABA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:09:26.655443Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.12462","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1d4e0a21f52d4e3d7581cbac6f095d4cb75bb9e275161b1eda57a42582fa1184","sha256:5cf502eca550c8f270cd537d0fbf021e5d3fb820052e7f7890fab1732f169607"],"state_sha256":"84a7905471b28cf441406f128bf80636f891b766187feffe22cdeadb26ff1008"}