{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:IX3KHEB7QSD6KAJBJDQ5ES74RN","short_pith_number":"pith:IX3KHEB7","schema_version":"1.0","canonical_sha256":"45f6a3903f8487e5012148e1d24bfc8b54479af3cbe7eecfb54215df74d65514","source":{"kind":"arxiv","id":"2304.02329","version":1},"attestation_state":"computed","paper":{"title":"Orientation relationship of FeNiC and FeNiCSi from variant detection in EBSD data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Mattis Seehaus, Risheng Pei, Sandra Korte-Kerzel, Stefanie Sandl\\\"obes-Haut","submitted_at":"2023-04-05T09:33:50Z","abstract_excerpt":"The determination of orientation relationships in dual or multi-phase materials is very important in the field of interface engineering for the design of materials with tailored properties. In this work, a code is developed for the automated and statistical analysis of the orientation relationship of electron backscatter diffraction data. On the example of Fe-Ni-(Si)-C alloys containing lenticular martensite and retained austenite, the code is applied and it is shown that the orientation relationship (OR) corresponds to the Greninger-Troiano OR and that a statistically reliable investigation o"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2304.02329","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2023-04-05T09:33:50Z","cross_cats_sorted":[],"title_canon_sha256":"c274c274c33d63a31be08efa8cc0fd63d912a1c997b7516fc367ec6946ce7c7d","abstract_canon_sha256":"67fb15e19bd0b2b2fb062ea08f6a7d7079ba2ae9e9ab2dbd46545da9af301255"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:00:17.361215Z","signature_b64":"kC2d5nY0zCQEuXBlM/dCL7ThM0juYYgjd6FKaUM6tuoav/B9HwdGZu9/M7sKdKO9mp6rWs8Dh9u/wyThxXfyAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"45f6a3903f8487e5012148e1d24bfc8b54479af3cbe7eecfb54215df74d65514","last_reissued_at":"2026-07-05T06:00:17.360709Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:00:17.360709Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Orientation relationship of FeNiC and FeNiCSi from variant detection in EBSD data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Mattis Seehaus, Risheng Pei, Sandra Korte-Kerzel, Stefanie Sandl\\\"obes-Haut","submitted_at":"2023-04-05T09:33:50Z","abstract_excerpt":"The determination of orientation relationships in dual or multi-phase materials is very important in the field of interface engineering for the design of materials with tailored properties. In this work, a code is developed for the automated and statistical analysis of the orientation relationship of electron backscatter diffraction data. On the example of Fe-Ni-(Si)-C alloys containing lenticular martensite and retained austenite, the code is applied and it is shown that the orientation relationship (OR) corresponds to the Greninger-Troiano OR and that a statistically reliable investigation o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.02329","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/2304.02329/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2304.02329","created_at":"2026-07-05T06:00:17.360766+00:00"},{"alias_kind":"arxiv_version","alias_value":"2304.02329v1","created_at":"2026-07-05T06:00:17.360766+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.02329","created_at":"2026-07-05T06:00:17.360766+00:00"},{"alias_kind":"pith_short_12","alias_value":"IX3KHEB7QSD6","created_at":"2026-07-05T06:00:17.360766+00:00"},{"alias_kind":"pith_short_16","alias_value":"IX3KHEB7QSD6KAJB","created_at":"2026-07-05T06:00:17.360766+00:00"},{"alias_kind":"pith_short_8","alias_value":"IX3KHEB7","created_at":"2026-07-05T06:00:17.360766+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2506.07617","citing_title":"Vuyko Mistral: Adapting LLMs for Low-Resource Dialectal Translation","ref_index":20,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/IX3KHEB7QSD6KAJBJDQ5ES74RN","json":"https://pith.science/pith/IX3KHEB7QSD6KAJBJDQ5ES74RN.json","graph_json":"https://pith.science/api/pith-number/IX3KHEB7QSD6KAJBJDQ5ES74RN/graph.json","events_json":"https://pith.science/api/pith-number/IX3KHEB7QSD6KAJBJDQ5ES74RN/events.json","paper":"https://pith.science/paper/IX3KHEB7"},"agent_actions":{"view_html":"https://pith.science/pith/IX3KHEB7QSD6KAJBJDQ5ES74RN","download_json":"https://pith.science/pith/IX3KHEB7QSD6KAJBJDQ5ES74RN.json","view_paper":"https://pith.science/paper/IX3KHEB7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2304.02329&json=true","fetch_graph":"https://pith.science/api/pith-number/IX3KHEB7QSD6KAJBJDQ5ES74RN/graph.json","fetch_events":"https://pith.science/api/pith-number/IX3KHEB7QSD6KAJBJDQ5ES74RN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IX3KHEB7QSD6KAJBJDQ5ES74RN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IX3KHEB7QSD6KAJBJDQ5ES74RN/action/storage_attestation","attest_author":"https://pith.science/pith/IX3KHEB7QSD6KAJBJDQ5ES74RN/action/author_attestation","sign_citation":"https://pith.science/pith/IX3KHEB7QSD6KAJBJDQ5ES74RN/action/citation_signature","submit_replication":"https://pith.science/pith/IX3KHEB7QSD6KAJBJDQ5ES74RN/action/replication_record"}},"created_at":"2026-07-05T06:00:17.360766+00:00","updated_at":"2026-07-05T06:00:17.360766+00:00"}