{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:EUTZHZGZO36P2GOEJY7ZXL2MMD","short_pith_number":"pith:EUTZHZGZ","canonical_record":{"source":{"id":"2404.14146","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-04-22T12:55:04Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"52a95389836c441db346a927e1d97fa49b4e1fea7f05dce16a93e821930bc533","abstract_canon_sha256":"12425939f59b1cb3758ed7b9fb471b98d822d8303bea5fc957eabd07fc6ba8d3"},"schema_version":"1.0"},"canonical_sha256":"252793e4d976fcfd19c44e3f9baf4c60cd811707bf738604a6641db6b5fe48b8","source":{"kind":"arxiv","id":"2404.14146","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.14146","created_at":"2026-07-05T08:15:49Z"},{"alias_kind":"arxiv_version","alias_value":"2404.14146v3","created_at":"2026-07-05T08:15:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.14146","created_at":"2026-07-05T08:15:49Z"},{"alias_kind":"pith_short_12","alias_value":"EUTZHZGZO36P","created_at":"2026-07-05T08:15:49Z"},{"alias_kind":"pith_short_16","alias_value":"EUTZHZGZO36P2GOE","created_at":"2026-07-05T08:15:49Z"},{"alias_kind":"pith_short_8","alias_value":"EUTZHZGZ","created_at":"2026-07-05T08:15:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:EUTZHZGZO36P2GOEJY7ZXL2MMD","target":"record","payload":{"canonical_record":{"source":{"id":"2404.14146","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-04-22T12:55:04Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"52a95389836c441db346a927e1d97fa49b4e1fea7f05dce16a93e821930bc533","abstract_canon_sha256":"12425939f59b1cb3758ed7b9fb471b98d822d8303bea5fc957eabd07fc6ba8d3"},"schema_version":"1.0"},"canonical_sha256":"252793e4d976fcfd19c44e3f9baf4c60cd811707bf738604a6641db6b5fe48b8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:15:49.689749Z","signature_b64":"xEJd9CN5BBHfGv1mNNx5lnSTMoU+NMBoYivPg1hr0B2IQQ2IX3rC6k3V1tFad7SdUi5lrHi6YsPZF1It9895CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"252793e4d976fcfd19c44e3f9baf4c60cd811707bf738604a6641db6b5fe48b8","last_reissued_at":"2026-07-05T08:15:49.689129Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:15:49.689129Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.14146","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":"2026-07-05T08:15:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UnwPmssJT+tVPHsZj5eOC6Kc8XRwnpR0rdmm+jiUD9SWnc7f4ESvNUDsPd+VWgNm+e9clSFwi6GbuFDN/Du/AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T17:22:29.288949Z"},"content_sha256":"9f477faa5b2fad4b03dfeae1239c586010d9acb7c4f9f2af6e2cb7176564aa08","schema_version":"1.0","event_id":"sha256:9f477faa5b2fad4b03dfeae1239c586010d9acb7c4f9f2af6e2cb7176564aa08"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:EUTZHZGZO36P2GOEJY7ZXL2MMD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Physics-based reward driven image analysis in microscopy","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Amit Goyal, Hui Yuan, Kamyar Barakati, Sergei V. Kalinin","submitted_at":"2024-04-22T12:55:04Z","abstract_excerpt":"The rise of electron microscopy has expanded our ability to acquire nanometer and atomically resolved images of complex materials. The resulting vast datasets are typically analyzed by human operators, an intrinsically challenging process due to the multiple possible analysis steps and the corresponding need to build and optimize complex analysis workflows. We present a methodology based on the concept of a Reward Function coupled with Bayesian Optimization, to optimize image analysis workflows dynamically. The Reward Function is engineered to closely align with the experimental objectives and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.14146","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/2404.14146/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":"2026-07-05T08:15:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"djaCx0IF4NeTjJ1Byqt4DX94qAGu9HpGDoOMdpX30Mx9actYDKZjGzq+KK6cZV0/cihd7lgHQRM9ZCVJvdYuCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T17:22:29.289526Z"},"content_sha256":"ee146c24137264ab4a940eedabf4d18397daf1dc5f45d668b65d78e5e4298c32","schema_version":"1.0","event_id":"sha256:ee146c24137264ab4a940eedabf4d18397daf1dc5f45d668b65d78e5e4298c32"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EUTZHZGZO36P2GOEJY7ZXL2MMD/bundle.json","state_url":"https://pith.science/pith/EUTZHZGZO36P2GOEJY7ZXL2MMD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EUTZHZGZO36P2GOEJY7ZXL2MMD/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":"2026-08-18T17:22:29Z","links":{"resolver":"https://pith.science/pith/EUTZHZGZO36P2GOEJY7ZXL2MMD","bundle":"https://pith.science/pith/EUTZHZGZO36P2GOEJY7ZXL2MMD/bundle.json","state":"https://pith.science/pith/EUTZHZGZO36P2GOEJY7ZXL2MMD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EUTZHZGZO36P2GOEJY7ZXL2MMD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:EUTZHZGZO36P2GOEJY7ZXL2MMD","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":"12425939f59b1cb3758ed7b9fb471b98d822d8303bea5fc957eabd07fc6ba8d3","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-04-22T12:55:04Z","title_canon_sha256":"52a95389836c441db346a927e1d97fa49b4e1fea7f05dce16a93e821930bc533"},"schema_version":"1.0","source":{"id":"2404.14146","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.14146","created_at":"2026-07-05T08:15:49Z"},{"alias_kind":"arxiv_version","alias_value":"2404.14146v3","created_at":"2026-07-05T08:15:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.14146","created_at":"2026-07-05T08:15:49Z"},{"alias_kind":"pith_short_12","alias_value":"EUTZHZGZO36P","created_at":"2026-07-05T08:15:49Z"},{"alias_kind":"pith_short_16","alias_value":"EUTZHZGZO36P2GOE","created_at":"2026-07-05T08:15:49Z"},{"alias_kind":"pith_short_8","alias_value":"EUTZHZGZ","created_at":"2026-07-05T08:15:49Z"}],"graph_snapshots":[{"event_id":"sha256:ee146c24137264ab4a940eedabf4d18397daf1dc5f45d668b65d78e5e4298c32","target":"graph","created_at":"2026-07-05T08:15:49Z","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/2404.14146/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rise of electron microscopy has expanded our ability to acquire nanometer and atomically resolved images of complex materials. The resulting vast datasets are typically analyzed by human operators, an intrinsically challenging process due to the multiple possible analysis steps and the corresponding need to build and optimize complex analysis workflows. We present a methodology based on the concept of a Reward Function coupled with Bayesian Optimization, to optimize image analysis workflows dynamically. The Reward Function is engineered to closely align with the experimental objectives and","authors_text":"Amit Goyal, Hui Yuan, Kamyar Barakati, Sergei V. Kalinin","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-04-22T12:55:04Z","title":"Physics-based reward driven image analysis in microscopy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.14146","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":"sha256:9f477faa5b2fad4b03dfeae1239c586010d9acb7c4f9f2af6e2cb7176564aa08","target":"record","created_at":"2026-07-05T08:15:49Z","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":"12425939f59b1cb3758ed7b9fb471b98d822d8303bea5fc957eabd07fc6ba8d3","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-04-22T12:55:04Z","title_canon_sha256":"52a95389836c441db346a927e1d97fa49b4e1fea7f05dce16a93e821930bc533"},"schema_version":"1.0","source":{"id":"2404.14146","kind":"arxiv","version":3}},"canonical_sha256":"252793e4d976fcfd19c44e3f9baf4c60cd811707bf738604a6641db6b5fe48b8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"252793e4d976fcfd19c44e3f9baf4c60cd811707bf738604a6641db6b5fe48b8","first_computed_at":"2026-07-05T08:15:49.689129Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:15:49.689129Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xEJd9CN5BBHfGv1mNNx5lnSTMoU+NMBoYivPg1hr0B2IQQ2IX3rC6k3V1tFad7SdUi5lrHi6YsPZF1It9895CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:15:49.689749Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.14146","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9f477faa5b2fad4b03dfeae1239c586010d9acb7c4f9f2af6e2cb7176564aa08","sha256:ee146c24137264ab4a940eedabf4d18397daf1dc5f45d668b65d78e5e4298c32"],"state_sha256":"cf819a675d43be6c1f6a7648a87fc73549900693b4d777f5ef8053461fbf69ff"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tWXPjGgAO20uy4xR8cX8321rAfRC3W31ScaTTojKFci2ou/LlGuDCelxBUb/Oi/pqIbZmLuDHELFd2h42OqsDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T17:22:29.293630Z","bundle_sha256":"4a098ea0901a65df7a53f5cebd7e04ae97692543d69050526923db13aefa66bd"}}