{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:L5DKJL5GWWMI2R6XSCULH3JLBD","short_pith_number":"pith:L5DKJL5G","canonical_record":{"source":{"id":"2202.11609","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.data-an","submitted_at":"2022-02-23T16:42:56Z","cross_cats_sorted":["cond-mat.soft"],"title_canon_sha256":"8a89d4a9ceb8800d64b9ce28eea16732c4916969634fcb32fcbefe9ec0da8fea","abstract_canon_sha256":"11874dd7bd7b947af5f548e4c69bd558e80dedc88cf990a28f310a0cded03fff"},"schema_version":"1.0"},"canonical_sha256":"5f46a4afa6b5988d47d790a8b3ed2b08f03e023bcd7019e24213af6db014e3cf","source":{"kind":"arxiv","id":"2202.11609","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.11609","created_at":"2026-07-05T03:59:35Z"},{"alias_kind":"arxiv_version","alias_value":"2202.11609v1","created_at":"2026-07-05T03:59:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.11609","created_at":"2026-07-05T03:59:35Z"},{"alias_kind":"pith_short_12","alias_value":"L5DKJL5GWWMI","created_at":"2026-07-05T03:59:35Z"},{"alias_kind":"pith_short_16","alias_value":"L5DKJL5GWWMI2R6X","created_at":"2026-07-05T03:59:35Z"},{"alias_kind":"pith_short_8","alias_value":"L5DKJL5G","created_at":"2026-07-05T03:59:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:L5DKJL5GWWMI2R6XSCULH3JLBD","target":"record","payload":{"canonical_record":{"source":{"id":"2202.11609","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.data-an","submitted_at":"2022-02-23T16:42:56Z","cross_cats_sorted":["cond-mat.soft"],"title_canon_sha256":"8a89d4a9ceb8800d64b9ce28eea16732c4916969634fcb32fcbefe9ec0da8fea","abstract_canon_sha256":"11874dd7bd7b947af5f548e4c69bd558e80dedc88cf990a28f310a0cded03fff"},"schema_version":"1.0"},"canonical_sha256":"5f46a4afa6b5988d47d790a8b3ed2b08f03e023bcd7019e24213af6db014e3cf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:59:35.008310Z","signature_b64":"uXpFcyjLjzB1UOIoqvU1cNRxdhkmPXQO3xlqqIQFhvljmXFgfMOPuQbDuibAcIAXLcHXPvWizIXTjn9RP1q+BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5f46a4afa6b5988d47d790a8b3ed2b08f03e023bcd7019e24213af6db014e3cf","last_reissued_at":"2026-07-05T03:59:35.007757Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:59:35.007757Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2202.11609","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":"2026-07-05T03:59:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JN/AZ7YocA37q3+OiWtsGmrmNn/6wgDhvVzoljkBpdeSsG/67I+c4Zq1dz5wpyKAK+yWdPJzO2O1x1T94FDVAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T09:05:56.166023Z"},"content_sha256":"6dd6db591327bc344e42717e3ca6967a2d10d56aae7bb4d6debd120fb988cd74","schema_version":"1.0","event_id":"sha256:6dd6db591327bc344e42717e3ca6967a2d10d56aae7bb4d6debd120fb988cd74"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:L5DKJL5GWWMI2R6XSCULH3JLBD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Neural network analysis of neutron and X-ray reflectivity data: automated analysis using mlreflect, experimental errors and feature engineering","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cond-mat.soft"],"primary_cat":"physics.data-an","authors_text":"Alessandro Greco, Alexander Gerlach, Alexander Hinderhofer, Chen Shen, Evelyn Edel, Florian Bertram, Frank Schreiber, Ingrid Dax, Nadine Russegger, Valentin Munteanu, Vladimir Starostin","submitted_at":"2022-02-23T16:42:56Z","abstract_excerpt":"This work demonstrates the Python package mlreflect which implements an optimized pipeline for the automized analysis of reflectometry data using machine learning. The package combines several training and data treatment techniques discussed in previous publications. The predictions made by the neural network are accurate and robust enough to serve as good starting parameters for an optional subsequent least mean squares (LMS) fit of the data. It is shown that for a large dataset of 242 reflectivity curves of various thin films on silicon substrates, the pipeline reliably finds an LMS minimum "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.11609","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/2202.11609/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":"2026-07-05T03:59:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n4CRaCehBzRdE3xV3o59jFFq7e1sDsd5vFYVbESS3pR9XZ0bZqqzAwKlWQJWtVBkKrK/pkGGAVk8qJ1iQB5dDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T09:05:56.166549Z"},"content_sha256":"b6a4ecbd3b30aabb18c0b5d1c3a511875731d1864968d712140456bf111f250e","schema_version":"1.0","event_id":"sha256:b6a4ecbd3b30aabb18c0b5d1c3a511875731d1864968d712140456bf111f250e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/L5DKJL5GWWMI2R6XSCULH3JLBD/bundle.json","state_url":"https://pith.science/pith/L5DKJL5GWWMI2R6XSCULH3JLBD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/L5DKJL5GWWMI2R6XSCULH3JLBD/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":"2026-08-01T09:05:56Z","links":{"resolver":"https://pith.science/pith/L5DKJL5GWWMI2R6XSCULH3JLBD","bundle":"https://pith.science/pith/L5DKJL5GWWMI2R6XSCULH3JLBD/bundle.json","state":"https://pith.science/pith/L5DKJL5GWWMI2R6XSCULH3JLBD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/L5DKJL5GWWMI2R6XSCULH3JLBD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:L5DKJL5GWWMI2R6XSCULH3JLBD","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":"11874dd7bd7b947af5f548e4c69bd558e80dedc88cf990a28f310a0cded03fff","cross_cats_sorted":["cond-mat.soft"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.data-an","submitted_at":"2022-02-23T16:42:56Z","title_canon_sha256":"8a89d4a9ceb8800d64b9ce28eea16732c4916969634fcb32fcbefe9ec0da8fea"},"schema_version":"1.0","source":{"id":"2202.11609","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.11609","created_at":"2026-07-05T03:59:35Z"},{"alias_kind":"arxiv_version","alias_value":"2202.11609v1","created_at":"2026-07-05T03:59:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.11609","created_at":"2026-07-05T03:59:35Z"},{"alias_kind":"pith_short_12","alias_value":"L5DKJL5GWWMI","created_at":"2026-07-05T03:59:35Z"},{"alias_kind":"pith_short_16","alias_value":"L5DKJL5GWWMI2R6X","created_at":"2026-07-05T03:59:35Z"},{"alias_kind":"pith_short_8","alias_value":"L5DKJL5G","created_at":"2026-07-05T03:59:35Z"}],"graph_snapshots":[{"event_id":"sha256:b6a4ecbd3b30aabb18c0b5d1c3a511875731d1864968d712140456bf111f250e","target":"graph","created_at":"2026-07-05T03:59:35Z","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/2202.11609/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This work demonstrates the Python package mlreflect which implements an optimized pipeline for the automized analysis of reflectometry data using machine learning. The package combines several training and data treatment techniques discussed in previous publications. The predictions made by the neural network are accurate and robust enough to serve as good starting parameters for an optional subsequent least mean squares (LMS) fit of the data. It is shown that for a large dataset of 242 reflectivity curves of various thin films on silicon substrates, the pipeline reliably finds an LMS minimum ","authors_text":"Alessandro Greco, Alexander Gerlach, Alexander Hinderhofer, Chen Shen, Evelyn Edel, Florian Bertram, Frank Schreiber, Ingrid Dax, Nadine Russegger, Valentin Munteanu, Vladimir Starostin","cross_cats":["cond-mat.soft"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.data-an","submitted_at":"2022-02-23T16:42:56Z","title":"Neural network analysis of neutron and X-ray reflectivity data: automated analysis using mlreflect, experimental errors and feature engineering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.11609","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":"sha256:6dd6db591327bc344e42717e3ca6967a2d10d56aae7bb4d6debd120fb988cd74","target":"record","created_at":"2026-07-05T03:59:35Z","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":"11874dd7bd7b947af5f548e4c69bd558e80dedc88cf990a28f310a0cded03fff","cross_cats_sorted":["cond-mat.soft"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.data-an","submitted_at":"2022-02-23T16:42:56Z","title_canon_sha256":"8a89d4a9ceb8800d64b9ce28eea16732c4916969634fcb32fcbefe9ec0da8fea"},"schema_version":"1.0","source":{"id":"2202.11609","kind":"arxiv","version":1}},"canonical_sha256":"5f46a4afa6b5988d47d790a8b3ed2b08f03e023bcd7019e24213af6db014e3cf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5f46a4afa6b5988d47d790a8b3ed2b08f03e023bcd7019e24213af6db014e3cf","first_computed_at":"2026-07-05T03:59:35.007757Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:59:35.007757Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uXpFcyjLjzB1UOIoqvU1cNRxdhkmPXQO3xlqqIQFhvljmXFgfMOPuQbDuibAcIAXLcHXPvWizIXTjn9RP1q+BA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:59:35.008310Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.11609","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6dd6db591327bc344e42717e3ca6967a2d10d56aae7bb4d6debd120fb988cd74","sha256:b6a4ecbd3b30aabb18c0b5d1c3a511875731d1864968d712140456bf111f250e"],"state_sha256":"f0195e67d1c5a8b93ff63388ba641a72b5427a50a02465cadb99811b3f0bc4c5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b6VnT24XbQ6L66LSdySJC9LKFoj4HqGWAmIgOEXia/EU039U6D9bmnzNF7yH0Jecd5DlHTGXjtEttNQZgNGCAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T09:05:56.170441Z","bundle_sha256":"22b4f6c99c780cc91ab0b70b834340f2c3f8f2ad34fc2193669647e99c25a20e"}}