{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:GPWEMN226TIMCFITTHEIH7D7J3","short_pith_number":"pith:GPWEMN22","canonical_record":{"source":{"id":"1903.02779","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2019-03-07T09:11:15Z","cross_cats_sorted":["physics.atm-clus"],"title_canon_sha256":"cc670717d99d617a3b0c3f205578dff4d794e5607f11abad42a7f7f708b2f029","abstract_canon_sha256":"a5161c58e46d508f658e053769db569ac6a7f8023a303b76516cbda9816da0e1"},"schema_version":"1.0"},"canonical_sha256":"33ec46375af4d0c1151399c883fc7f4ed231b7c72845571dd1ae1645dde7dabf","source":{"kind":"arxiv","id":"1903.02779","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.02779","created_at":"2026-05-17T23:42:42Z"},{"alias_kind":"arxiv_version","alias_value":"1903.02779v4","created_at":"2026-05-17T23:42:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.02779","created_at":"2026-05-17T23:42:42Z"},{"alias_kind":"pith_short_12","alias_value":"GPWEMN226TIM","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"GPWEMN226TIMCFIT","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"GPWEMN22","created_at":"2026-05-18T12:33:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:GPWEMN226TIMCFITTHEIH7D7J3","target":"record","payload":{"canonical_record":{"source":{"id":"1903.02779","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2019-03-07T09:11:15Z","cross_cats_sorted":["physics.atm-clus"],"title_canon_sha256":"cc670717d99d617a3b0c3f205578dff4d794e5607f11abad42a7f7f708b2f029","abstract_canon_sha256":"a5161c58e46d508f658e053769db569ac6a7f8023a303b76516cbda9816da0e1"},"schema_version":"1.0"},"canonical_sha256":"33ec46375af4d0c1151399c883fc7f4ed231b7c72845571dd1ae1645dde7dabf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:42.088180Z","signature_b64":"HtRBabyB/RnO9M5oodET0MHGAEekU7+M+m6Ub1jpKld0cygNyJAu/oTfR8G8vhrsHuvgI3/R1xFR6BJUb12VBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"33ec46375af4d0c1151399c883fc7f4ed231b7c72845571dd1ae1645dde7dabf","last_reissued_at":"2026-05-17T23:42:42.087588Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:42.087588Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1903.02779","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:42:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"osgYRrdnEj2qQypc6Y2hClWEhneSsJpQcxTIsqWaj/jkQFuGZCo/pIho3REW8RA1s4NB38E/JC4wREphfrMhCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T19:54:43.907101Z"},"content_sha256":"aa98278c8ebc358fae1a92a2e2aa37a4dd822f48de392b77e9124847497e5d2a","schema_version":"1.0","event_id":"sha256:aa98278c8ebc358fae1a92a2e2aa37a4dd822f48de392b77e9124847497e5d2a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:GPWEMN226TIMCFITTHEIH7D7J3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep neural networks for classifying complex features in diffraction images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.atm-clus"],"primary_cat":"physics.data-an","authors_text":"Aaron C. LaForge, Bruno Langbehn, Carlo Callegari, Daniela Rupp, Frank Stienkemeier, Julian Zimmermann, Kevin C. Prince, Kiyoshi Ueda, Michele Di Fraia, Oksana Plekan, Paola Finetti, Paolo Piseri, Riccardo Cucini, Thomas M\\\"oller, Toshiyuki Nishiyama, Yevheniy Ovcharenko","submitted_at":"2019-03-07T09:11:15Z","abstract_excerpt":"Intense short-wavelength pulses from free-electron lasers and high-harmonic-generation sources enable diffractive imaging of individual nano-sized objects with a single x-ray laser shot. The enormous data sets with up to several million diffraction patterns represent a severe problem for data analysis, due to the high dimensionality of imaging data. Feature recognition and selection is a crucial step to reduce the dimensionality. Usually, custom-made algorithms are developed at a considerable effort to approximate the particular features connected to an individual specimen, but facing differen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.02779","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-17T23:42:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tRudCQPmk8869jd8jcGZgYs0ZZ/IH9OslgrODJ0YjbfNxXTMdnQqK9cURoV+a1CsxRsuQTeP3lfKCluFznl0Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T19:54:43.907760Z"},"content_sha256":"8aced2453c26714fed2ef685055ae64ba4d66dfffaee09f5d4420ee827812943","schema_version":"1.0","event_id":"sha256:8aced2453c26714fed2ef685055ae64ba4d66dfffaee09f5d4420ee827812943"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GPWEMN226TIMCFITTHEIH7D7J3/bundle.json","state_url":"https://pith.science/pith/GPWEMN226TIMCFITTHEIH7D7J3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GPWEMN226TIMCFITTHEIH7D7J3/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":"2026-05-29T19:54:43Z","links":{"resolver":"https://pith.science/pith/GPWEMN226TIMCFITTHEIH7D7J3","bundle":"https://pith.science/pith/GPWEMN226TIMCFITTHEIH7D7J3/bundle.json","state":"https://pith.science/pith/GPWEMN226TIMCFITTHEIH7D7J3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GPWEMN226TIMCFITTHEIH7D7J3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:GPWEMN226TIMCFITTHEIH7D7J3","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":"a5161c58e46d508f658e053769db569ac6a7f8023a303b76516cbda9816da0e1","cross_cats_sorted":["physics.atm-clus"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2019-03-07T09:11:15Z","title_canon_sha256":"cc670717d99d617a3b0c3f205578dff4d794e5607f11abad42a7f7f708b2f029"},"schema_version":"1.0","source":{"id":"1903.02779","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.02779","created_at":"2026-05-17T23:42:42Z"},{"alias_kind":"arxiv_version","alias_value":"1903.02779v4","created_at":"2026-05-17T23:42:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.02779","created_at":"2026-05-17T23:42:42Z"},{"alias_kind":"pith_short_12","alias_value":"GPWEMN226TIM","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"GPWEMN226TIMCFIT","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"GPWEMN22","created_at":"2026-05-18T12:33:18Z"}],"graph_snapshots":[{"event_id":"sha256:8aced2453c26714fed2ef685055ae64ba4d66dfffaee09f5d4420ee827812943","target":"graph","created_at":"2026-05-17T23:42:42Z","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"},"paper":{"abstract_excerpt":"Intense short-wavelength pulses from free-electron lasers and high-harmonic-generation sources enable diffractive imaging of individual nano-sized objects with a single x-ray laser shot. The enormous data sets with up to several million diffraction patterns represent a severe problem for data analysis, due to the high dimensionality of imaging data. Feature recognition and selection is a crucial step to reduce the dimensionality. Usually, custom-made algorithms are developed at a considerable effort to approximate the particular features connected to an individual specimen, but facing differen","authors_text":"Aaron C. LaForge, Bruno Langbehn, Carlo Callegari, Daniela Rupp, Frank Stienkemeier, Julian Zimmermann, Kevin C. Prince, Kiyoshi Ueda, Michele Di Fraia, Oksana Plekan, Paola Finetti, Paolo Piseri, Riccardo Cucini, Thomas M\\\"oller, Toshiyuki Nishiyama, Yevheniy Ovcharenko","cross_cats":["physics.atm-clus"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2019-03-07T09:11:15Z","title":"Deep neural networks for classifying complex features in diffraction images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.02779","kind":"arxiv","version":4},"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:aa98278c8ebc358fae1a92a2e2aa37a4dd822f48de392b77e9124847497e5d2a","target":"record","created_at":"2026-05-17T23:42:42Z","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":"a5161c58e46d508f658e053769db569ac6a7f8023a303b76516cbda9816da0e1","cross_cats_sorted":["physics.atm-clus"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2019-03-07T09:11:15Z","title_canon_sha256":"cc670717d99d617a3b0c3f205578dff4d794e5607f11abad42a7f7f708b2f029"},"schema_version":"1.0","source":{"id":"1903.02779","kind":"arxiv","version":4}},"canonical_sha256":"33ec46375af4d0c1151399c883fc7f4ed231b7c72845571dd1ae1645dde7dabf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"33ec46375af4d0c1151399c883fc7f4ed231b7c72845571dd1ae1645dde7dabf","first_computed_at":"2026-05-17T23:42:42.087588Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:42:42.087588Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HtRBabyB/RnO9M5oodET0MHGAEekU7+M+m6Ub1jpKld0cygNyJAu/oTfR8G8vhrsHuvgI3/R1xFR6BJUb12VBg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:42:42.088180Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.02779","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aa98278c8ebc358fae1a92a2e2aa37a4dd822f48de392b77e9124847497e5d2a","sha256:8aced2453c26714fed2ef685055ae64ba4d66dfffaee09f5d4420ee827812943"],"state_sha256":"858f5da84fa03125ae173b775370f9355a5f682213ecc614786fd21bada50af7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C0M7D0c1kQOWj5TKFG0+235khUPI91dT7hRSBj2VUwYPCdHSUjW6HgufsM4k9gD54VCsPR3ijjjKJqd1xa73AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-29T19:54:43.911010Z","bundle_sha256":"944f4ec24bfe66d7ea79ce996404f3f9a1d6b6f2b2d5fbad49d0906aea28faf2"}}