{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:RWJZM75XB7SZKI6PPIGFEDKNEQ","short_pith_number":"pith:RWJZM75X","canonical_record":{"source":{"id":"2201.13398","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-01-31T18:04:43Z","cross_cats_sorted":["cs.LG","stat.ME"],"title_canon_sha256":"2324498651de9a8fe44281f24da4e2d91d061b3ec0aebb0a99008a69429e687d","abstract_canon_sha256":"5453dd98bff60330f64b44f07a41eed720f76075eaf5d96bcdaa6c078e652627"},"schema_version":"1.0"},"canonical_sha256":"8d93967fb70fe59523cf7a0c520d4d24118ab97c6c2322e418c1464bfb983b7b","source":{"kind":"arxiv","id":"2201.13398","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.13398","created_at":"2026-07-05T03:52:51Z"},{"alias_kind":"arxiv_version","alias_value":"2201.13398v1","created_at":"2026-07-05T03:52:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.13398","created_at":"2026-07-05T03:52:51Z"},{"alias_kind":"pith_short_12","alias_value":"RWJZM75XB7SZ","created_at":"2026-07-05T03:52:51Z"},{"alias_kind":"pith_short_16","alias_value":"RWJZM75XB7SZKI6P","created_at":"2026-07-05T03:52:51Z"},{"alias_kind":"pith_short_8","alias_value":"RWJZM75X","created_at":"2026-07-05T03:52:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:RWJZM75XB7SZKI6PPIGFEDKNEQ","target":"record","payload":{"canonical_record":{"source":{"id":"2201.13398","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-01-31T18:04:43Z","cross_cats_sorted":["cs.LG","stat.ME"],"title_canon_sha256":"2324498651de9a8fe44281f24da4e2d91d061b3ec0aebb0a99008a69429e687d","abstract_canon_sha256":"5453dd98bff60330f64b44f07a41eed720f76075eaf5d96bcdaa6c078e652627"},"schema_version":"1.0"},"canonical_sha256":"8d93967fb70fe59523cf7a0c520d4d24118ab97c6c2322e418c1464bfb983b7b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:52:51.617907Z","signature_b64":"yq+GrK/Ja4KFTBE0+YQVo12N14jj6TghGVY32nJnsu8E9NGsSPd4nZy3+oldpiCQ0pafSJOkNTvmoiw8PvsGCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8d93967fb70fe59523cf7a0c520d4d24118ab97c6c2322e418c1464bfb983b7b","last_reissued_at":"2026-07-05T03:52:51.617491Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:52:51.617491Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2201.13398","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":"2026-07-05T03:52:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NYW56CJVrm2wrniyniFAg2hjLqBxnHht5dGAkC1p3X7oNnq0TvP2nujMXMKjd9qAOzHZv8C4Uay/TbxsbCCEBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T12:38:53.958755Z"},"content_sha256":"6a0306a4e0404c8fceb453d4b606ab66716d06b8b9821dac41482e4ae2c883c2","schema_version":"1.0","event_id":"sha256:6a0306a4e0404c8fceb453d4b606ab66716d06b8b9821dac41482e4ae2c883c2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:RWJZM75XB7SZKI6PPIGFEDKNEQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spectral image clustering on dual-energy CT scans using functional regression mixtures","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ME"],"primary_cat":"eess.IV","authors_text":"Faicel Chamroukhi, Mark Coates, Peter Savadjiev, Reza Forghani, Segolene Brivet","submitted_at":"2022-01-31T18:04:43Z","abstract_excerpt":"Dual-energy computed tomography (DECT) is an advanced CT scanning technique enabling material characterization not possible with conventional CT scans. It allows the reconstruction of energy decay curves at each 3D image voxel, representing varying image attenuation at different effective scanning energy levels. In this paper, we develop novel functional data analysis (FDA) techniques and adapt them to the analysis of DECT decay curves. More specifically, we construct functional mixture models that integrate spatial context in mixture weights, with mixture component densities being constructed"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.13398","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/2201.13398/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":"2026-07-05T03:52:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mOTfIevEZqJ9euuUYwHohp1Ww1bk+viV+8KacsesUWRQ3Q6ZHfH6ZjfmXsCfVE52IGYFJBWp4yx9upf5W/haCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T12:38:53.959128Z"},"content_sha256":"6ed6d4823a845d8099196243472414993654d1a368724e5e7468baa361fa688f","schema_version":"1.0","event_id":"sha256:6ed6d4823a845d8099196243472414993654d1a368724e5e7468baa361fa688f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RWJZM75XB7SZKI6PPIGFEDKNEQ/bundle.json","state_url":"https://pith.science/pith/RWJZM75XB7SZKI6PPIGFEDKNEQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RWJZM75XB7SZKI6PPIGFEDKNEQ/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":"2026-07-07T12:38:53Z","links":{"resolver":"https://pith.science/pith/RWJZM75XB7SZKI6PPIGFEDKNEQ","bundle":"https://pith.science/pith/RWJZM75XB7SZKI6PPIGFEDKNEQ/bundle.json","state":"https://pith.science/pith/RWJZM75XB7SZKI6PPIGFEDKNEQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RWJZM75XB7SZKI6PPIGFEDKNEQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:RWJZM75XB7SZKI6PPIGFEDKNEQ","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":"5453dd98bff60330f64b44f07a41eed720f76075eaf5d96bcdaa6c078e652627","cross_cats_sorted":["cs.LG","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-01-31T18:04:43Z","title_canon_sha256":"2324498651de9a8fe44281f24da4e2d91d061b3ec0aebb0a99008a69429e687d"},"schema_version":"1.0","source":{"id":"2201.13398","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.13398","created_at":"2026-07-05T03:52:51Z"},{"alias_kind":"arxiv_version","alias_value":"2201.13398v1","created_at":"2026-07-05T03:52:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.13398","created_at":"2026-07-05T03:52:51Z"},{"alias_kind":"pith_short_12","alias_value":"RWJZM75XB7SZ","created_at":"2026-07-05T03:52:51Z"},{"alias_kind":"pith_short_16","alias_value":"RWJZM75XB7SZKI6P","created_at":"2026-07-05T03:52:51Z"},{"alias_kind":"pith_short_8","alias_value":"RWJZM75X","created_at":"2026-07-05T03:52:51Z"}],"graph_snapshots":[{"event_id":"sha256:6ed6d4823a845d8099196243472414993654d1a368724e5e7468baa361fa688f","target":"graph","created_at":"2026-07-05T03:52:51Z","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/2201.13398/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dual-energy computed tomography (DECT) is an advanced CT scanning technique enabling material characterization not possible with conventional CT scans. It allows the reconstruction of energy decay curves at each 3D image voxel, representing varying image attenuation at different effective scanning energy levels. In this paper, we develop novel functional data analysis (FDA) techniques and adapt them to the analysis of DECT decay curves. More specifically, we construct functional mixture models that integrate spatial context in mixture weights, with mixture component densities being constructed","authors_text":"Faicel Chamroukhi, Mark Coates, Peter Savadjiev, Reza Forghani, Segolene Brivet","cross_cats":["cs.LG","stat.ME"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-01-31T18:04:43Z","title":"Spectral image clustering on dual-energy CT scans using functional regression mixtures"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.13398","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":"sha256:6a0306a4e0404c8fceb453d4b606ab66716d06b8b9821dac41482e4ae2c883c2","target":"record","created_at":"2026-07-05T03:52:51Z","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":"5453dd98bff60330f64b44f07a41eed720f76075eaf5d96bcdaa6c078e652627","cross_cats_sorted":["cs.LG","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-01-31T18:04:43Z","title_canon_sha256":"2324498651de9a8fe44281f24da4e2d91d061b3ec0aebb0a99008a69429e687d"},"schema_version":"1.0","source":{"id":"2201.13398","kind":"arxiv","version":1}},"canonical_sha256":"8d93967fb70fe59523cf7a0c520d4d24118ab97c6c2322e418c1464bfb983b7b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8d93967fb70fe59523cf7a0c520d4d24118ab97c6c2322e418c1464bfb983b7b","first_computed_at":"2026-07-05T03:52:51.617491Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:52:51.617491Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yq+GrK/Ja4KFTBE0+YQVo12N14jj6TghGVY32nJnsu8E9NGsSPd4nZy3+oldpiCQ0pafSJOkNTvmoiw8PvsGCw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:52:51.617907Z","signed_message":"canonical_sha256_bytes"},"source_id":"2201.13398","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6a0306a4e0404c8fceb453d4b606ab66716d06b8b9821dac41482e4ae2c883c2","sha256:6ed6d4823a845d8099196243472414993654d1a368724e5e7468baa361fa688f"],"state_sha256":"86ece2f7da624a4bea9598e5eb7452305efb3e5c8d55a07912183cd54f27b2ae"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QiAflvCIh7Ta40mCdo4buCMDrCgPwNzhg8N1sAD931bI9lrDSnDyDCypzUlFcnFlMv61wWitbGZEBj7GLC2kCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T12:38:53.961087Z","bundle_sha256":"caabc988ca50f0f389381576f02fe2aa06cb1af8789820fee392e4148ba3ae5e"}}