{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:P6RXO5PYRNEXANGJX6XBTHNKZL","short_pith_number":"pith:P6RXO5PY","canonical_record":{"source":{"id":"2301.07587","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-01-18T15:07:57Z","cross_cats_sorted":[],"title_canon_sha256":"2d71723a911ca9b4ff147d69cf944adff9f3d6da1fc034715f9a8b921e62469f","abstract_canon_sha256":"f104d473d76ede0e21951948273a8634b344801326cd9cc387cd65f5625aaf7d"},"schema_version":"1.0"},"canonical_sha256":"7fa37775f88b497034c9bfae199daacaefb41ed8b70ec5d2e63a5844925ef201","source":{"kind":"arxiv","id":"2301.07587","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.07587","created_at":"2026-07-05T05:34:10Z"},{"alias_kind":"arxiv_version","alias_value":"2301.07587v1","created_at":"2026-07-05T05:34:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.07587","created_at":"2026-07-05T05:34:10Z"},{"alias_kind":"pith_short_12","alias_value":"P6RXO5PYRNEX","created_at":"2026-07-05T05:34:10Z"},{"alias_kind":"pith_short_16","alias_value":"P6RXO5PYRNEXANGJ","created_at":"2026-07-05T05:34:10Z"},{"alias_kind":"pith_short_8","alias_value":"P6RXO5PY","created_at":"2026-07-05T05:34:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:P6RXO5PYRNEXANGJX6XBTHNKZL","target":"record","payload":{"canonical_record":{"source":{"id":"2301.07587","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-01-18T15:07:57Z","cross_cats_sorted":[],"title_canon_sha256":"2d71723a911ca9b4ff147d69cf944adff9f3d6da1fc034715f9a8b921e62469f","abstract_canon_sha256":"f104d473d76ede0e21951948273a8634b344801326cd9cc387cd65f5625aaf7d"},"schema_version":"1.0"},"canonical_sha256":"7fa37775f88b497034c9bfae199daacaefb41ed8b70ec5d2e63a5844925ef201","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:34:10.818971Z","signature_b64":"HkMY6VcX+Ox3ks55C7iaaxoqOt/O8d6FATfSQ+EELjJl+hNi1/TVrkqjtwD0QWtsfFw5w9rUHjg6BKVzii5bAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7fa37775f88b497034c9bfae199daacaefb41ed8b70ec5d2e63a5844925ef201","last_reissued_at":"2026-07-05T05:34:10.818507Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:34:10.818507Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2301.07587","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":"2026-07-05T05:34:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yW/ktz5ashpLpaNeYb/Rh0ZEH2MAiZfcYqvtuJhc7YRF3p9f9H0/JeRnODeJh6Ctfbt0EF+Pef7guNWfjcvqDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T11:49:01.936690Z"},"content_sha256":"49d612aac3cbe9a4ad3e55d470e5eb3bd2944205c73393f05678f8b330550f43","schema_version":"1.0","event_id":"sha256:49d612aac3cbe9a4ad3e55d470e5eb3bd2944205c73393f05678f8b330550f43"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:P6RXO5PYRNEXANGJX6XBTHNKZL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multidimensional characterization of particle morphology and mineralogical composition using CT data and R-vine copulas","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Jens Gutzmer, Kai Bachmann, Orkun Furat, Thomas Lei{\\ss}ner, Tom Kirstein, Urs A. Peuker, Volker Schmidt","submitted_at":"2023-01-18T15:07:57Z","abstract_excerpt":"Computed tomography (CT) can capture volumes large enough to measure a statistically meaningful number of micron-sized particles with a sufficiently good resolution to allow for the analysis of individual particles. However, the development of methods to efficiently investigate such image data and interpretably model the observed particle features is still an active field of research. When image data of particles exhibiting a wide range of shapes and sizes is considered, traditional image segmentation methods, such as the classic watershed algorithm, struggle to recognize particles with satisf"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.07587","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/2301.07587/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":"2026-07-05T05:34:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XHg02oOCQk3HVO4VHrNPpAD1vVZg5r7YdA70VFT5g5OX9TUcpjfhHPf9R+6wvdUJVvIffDvzAec12Q2Vj8vqAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T11:49:01.937257Z"},"content_sha256":"ef03c13e586a508bc2161f349ef57973f5f45250f590610586dca7ce94907af5","schema_version":"1.0","event_id":"sha256:ef03c13e586a508bc2161f349ef57973f5f45250f590610586dca7ce94907af5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/P6RXO5PYRNEXANGJX6XBTHNKZL/bundle.json","state_url":"https://pith.science/pith/P6RXO5PYRNEXANGJX6XBTHNKZL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/P6RXO5PYRNEXANGJX6XBTHNKZL/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":"2026-08-05T11:49:01Z","links":{"resolver":"https://pith.science/pith/P6RXO5PYRNEXANGJX6XBTHNKZL","bundle":"https://pith.science/pith/P6RXO5PYRNEXANGJX6XBTHNKZL/bundle.json","state":"https://pith.science/pith/P6RXO5PYRNEXANGJX6XBTHNKZL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/P6RXO5PYRNEXANGJX6XBTHNKZL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:P6RXO5PYRNEXANGJX6XBTHNKZL","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":"f104d473d76ede0e21951948273a8634b344801326cd9cc387cd65f5625aaf7d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-01-18T15:07:57Z","title_canon_sha256":"2d71723a911ca9b4ff147d69cf944adff9f3d6da1fc034715f9a8b921e62469f"},"schema_version":"1.0","source":{"id":"2301.07587","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.07587","created_at":"2026-07-05T05:34:10Z"},{"alias_kind":"arxiv_version","alias_value":"2301.07587v1","created_at":"2026-07-05T05:34:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.07587","created_at":"2026-07-05T05:34:10Z"},{"alias_kind":"pith_short_12","alias_value":"P6RXO5PYRNEX","created_at":"2026-07-05T05:34:10Z"},{"alias_kind":"pith_short_16","alias_value":"P6RXO5PYRNEXANGJ","created_at":"2026-07-05T05:34:10Z"},{"alias_kind":"pith_short_8","alias_value":"P6RXO5PY","created_at":"2026-07-05T05:34:10Z"}],"graph_snapshots":[{"event_id":"sha256:ef03c13e586a508bc2161f349ef57973f5f45250f590610586dca7ce94907af5","target":"graph","created_at":"2026-07-05T05:34:10Z","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/2301.07587/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Computed tomography (CT) can capture volumes large enough to measure a statistically meaningful number of micron-sized particles with a sufficiently good resolution to allow for the analysis of individual particles. However, the development of methods to efficiently investigate such image data and interpretably model the observed particle features is still an active field of research. When image data of particles exhibiting a wide range of shapes and sizes is considered, traditional image segmentation methods, such as the classic watershed algorithm, struggle to recognize particles with satisf","authors_text":"Jens Gutzmer, Kai Bachmann, Orkun Furat, Thomas Lei{\\ss}ner, Tom Kirstein, Urs A. Peuker, Volker Schmidt","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-01-18T15:07:57Z","title":"Multidimensional characterization of particle morphology and mineralogical composition using CT data and R-vine copulas"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.07587","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":"sha256:49d612aac3cbe9a4ad3e55d470e5eb3bd2944205c73393f05678f8b330550f43","target":"record","created_at":"2026-07-05T05:34:10Z","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":"f104d473d76ede0e21951948273a8634b344801326cd9cc387cd65f5625aaf7d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-01-18T15:07:57Z","title_canon_sha256":"2d71723a911ca9b4ff147d69cf944adff9f3d6da1fc034715f9a8b921e62469f"},"schema_version":"1.0","source":{"id":"2301.07587","kind":"arxiv","version":1}},"canonical_sha256":"7fa37775f88b497034c9bfae199daacaefb41ed8b70ec5d2e63a5844925ef201","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7fa37775f88b497034c9bfae199daacaefb41ed8b70ec5d2e63a5844925ef201","first_computed_at":"2026-07-05T05:34:10.818507Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:34:10.818507Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HkMY6VcX+Ox3ks55C7iaaxoqOt/O8d6FATfSQ+EELjJl+hNi1/TVrkqjtwD0QWtsfFw5w9rUHjg6BKVzii5bAA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:34:10.818971Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.07587","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:49d612aac3cbe9a4ad3e55d470e5eb3bd2944205c73393f05678f8b330550f43","sha256:ef03c13e586a508bc2161f349ef57973f5f45250f590610586dca7ce94907af5"],"state_sha256":"9837797e5f25284054436782bb344c8819a00a3b4ac63922a81701894d0d27df"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Dyyq9+IlZG8Q68Y6UgzeAnWaXttqkObWAbWoHXQlgVBInjDt7Hm0E3kRi5AeOPZQ8q8vZzAzUCfMX7NjqvsKDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T11:49:01.953539Z","bundle_sha256":"679dd5563e5e1730e28df76c1d25eb77f2ea84dcaed822f338f6cf2933392f7e"}}