{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:UZWL6UHJYU7DKFLR3GUEFTF4MD","short_pith_number":"pith:UZWL6UHJ","canonical_record":{"source":{"id":"2403.00426","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-01T10:24:04Z","cross_cats_sorted":[],"title_canon_sha256":"d6aabeca0ccadc2e7a61957429aa13e9e5345c40e69f02c23e295ca851188da2","abstract_canon_sha256":"4dd40504fb5b9148687e28145714a8702c858f7c74bd9728877ccc8c9a943378"},"schema_version":"1.0"},"canonical_sha256":"a66cbf50e9c53e351571d9a842ccbc60c0d3bf5d41dc343f6c5e1b1732152add","source":{"kind":"arxiv","id":"2403.00426","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.00426","created_at":"2026-07-05T07:51:04Z"},{"alias_kind":"arxiv_version","alias_value":"2403.00426v1","created_at":"2026-07-05T07:51:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.00426","created_at":"2026-07-05T07:51:04Z"},{"alias_kind":"pith_short_12","alias_value":"UZWL6UHJYU7D","created_at":"2026-07-05T07:51:04Z"},{"alias_kind":"pith_short_16","alias_value":"UZWL6UHJYU7DKFLR","created_at":"2026-07-05T07:51:04Z"},{"alias_kind":"pith_short_8","alias_value":"UZWL6UHJ","created_at":"2026-07-05T07:51:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:UZWL6UHJYU7DKFLR3GUEFTF4MD","target":"record","payload":{"canonical_record":{"source":{"id":"2403.00426","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-01T10:24:04Z","cross_cats_sorted":[],"title_canon_sha256":"d6aabeca0ccadc2e7a61957429aa13e9e5345c40e69f02c23e295ca851188da2","abstract_canon_sha256":"4dd40504fb5b9148687e28145714a8702c858f7c74bd9728877ccc8c9a943378"},"schema_version":"1.0"},"canonical_sha256":"a66cbf50e9c53e351571d9a842ccbc60c0d3bf5d41dc343f6c5e1b1732152add","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:51:04.029176Z","signature_b64":"b2djgHHe/XCJ07FJZYiesOnrwi12RqjufmqkFcomXZIVWMTHqn5HCZLU4cGPTVAFPBeNYRCufGhsOprO2xKmCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a66cbf50e9c53e351571d9a842ccbc60c0d3bf5d41dc343f6c5e1b1732152add","last_reissued_at":"2026-07-05T07:51:04.028766Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:51:04.028766Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.00426","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":"2026-07-05T07:51:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oiw5WiKGomyVvMfWOSo3NvE4KBCM1uzzLs/Gy5X5CoPgSemVUa6ulxt6g6bh5tWmRBLTCBrHM18Y5EVFLSJ2Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T10:07:47.310589Z"},"content_sha256":"3690f4b2d65a79a4a1f44a1a58ddc433af36f064401e66fb2943728bc09e8123","schema_version":"1.0","event_id":"sha256:3690f4b2d65a79a4a1f44a1a58ddc433af36f064401e66fb2943728bc09e8123"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:UZWL6UHJYU7DKFLR3GUEFTF4MD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Learning Computed Tomography based on the Defrise and Clack Algorithm","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Andreas Maier, Chengze Ye, Linda-Sophie Schneider, Yipeng Sun","submitted_at":"2024-03-01T10:24:04Z","abstract_excerpt":"This study presents a novel approach for reconstructing cone beam computed tomography (CBCT) for specific orbits using known operator learning. Unlike traditional methods, this technique employs a filtered backprojection type (FBP-type) algorithm, which integrates a unique, adaptive filtering process. This process involves a series of operations, including weightings, differentiations, the 2D Radon transform, and backprojection. The filter is designed for a specific orbit geometry and is obtained using a data-driven approach based on deep learning. The approach efficiently learns and optimizes"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.00426","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/2403.00426/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":"2026-07-05T07:51:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M8MUpYoY/uw3EhrC7LykfTX7IhcyWjC+F5jjFeyUuoFLOa+SUfuVsqZtFvXaG+kf7tNwv/C+k0xT86w12buCBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T10:07:47.311461Z"},"content_sha256":"a5e52bc8e41d2130d9d37873db0e531be0bc022159ae1f4debcea30e1bd61e72","schema_version":"1.0","event_id":"sha256:a5e52bc8e41d2130d9d37873db0e531be0bc022159ae1f4debcea30e1bd61e72"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UZWL6UHJYU7DKFLR3GUEFTF4MD/bundle.json","state_url":"https://pith.science/pith/UZWL6UHJYU7DKFLR3GUEFTF4MD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UZWL6UHJYU7DKFLR3GUEFTF4MD/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":"2026-08-11T10:07:47Z","links":{"resolver":"https://pith.science/pith/UZWL6UHJYU7DKFLR3GUEFTF4MD","bundle":"https://pith.science/pith/UZWL6UHJYU7DKFLR3GUEFTF4MD/bundle.json","state":"https://pith.science/pith/UZWL6UHJYU7DKFLR3GUEFTF4MD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UZWL6UHJYU7DKFLR3GUEFTF4MD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:UZWL6UHJYU7DKFLR3GUEFTF4MD","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":"4dd40504fb5b9148687e28145714a8702c858f7c74bd9728877ccc8c9a943378","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-01T10:24:04Z","title_canon_sha256":"d6aabeca0ccadc2e7a61957429aa13e9e5345c40e69f02c23e295ca851188da2"},"schema_version":"1.0","source":{"id":"2403.00426","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.00426","created_at":"2026-07-05T07:51:04Z"},{"alias_kind":"arxiv_version","alias_value":"2403.00426v1","created_at":"2026-07-05T07:51:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.00426","created_at":"2026-07-05T07:51:04Z"},{"alias_kind":"pith_short_12","alias_value":"UZWL6UHJYU7D","created_at":"2026-07-05T07:51:04Z"},{"alias_kind":"pith_short_16","alias_value":"UZWL6UHJYU7DKFLR","created_at":"2026-07-05T07:51:04Z"},{"alias_kind":"pith_short_8","alias_value":"UZWL6UHJ","created_at":"2026-07-05T07:51:04Z"}],"graph_snapshots":[{"event_id":"sha256:a5e52bc8e41d2130d9d37873db0e531be0bc022159ae1f4debcea30e1bd61e72","target":"graph","created_at":"2026-07-05T07:51:04Z","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/2403.00426/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This study presents a novel approach for reconstructing cone beam computed tomography (CBCT) for specific orbits using known operator learning. Unlike traditional methods, this technique employs a filtered backprojection type (FBP-type) algorithm, which integrates a unique, adaptive filtering process. This process involves a series of operations, including weightings, differentiations, the 2D Radon transform, and backprojection. The filter is designed for a specific orbit geometry and is obtained using a data-driven approach based on deep learning. The approach efficiently learns and optimizes","authors_text":"Andreas Maier, Chengze Ye, Linda-Sophie Schneider, Yipeng Sun","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-01T10:24:04Z","title":"Deep Learning Computed Tomography based on the Defrise and Clack Algorithm"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.00426","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":"sha256:3690f4b2d65a79a4a1f44a1a58ddc433af36f064401e66fb2943728bc09e8123","target":"record","created_at":"2026-07-05T07:51:04Z","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":"4dd40504fb5b9148687e28145714a8702c858f7c74bd9728877ccc8c9a943378","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-01T10:24:04Z","title_canon_sha256":"d6aabeca0ccadc2e7a61957429aa13e9e5345c40e69f02c23e295ca851188da2"},"schema_version":"1.0","source":{"id":"2403.00426","kind":"arxiv","version":1}},"canonical_sha256":"a66cbf50e9c53e351571d9a842ccbc60c0d3bf5d41dc343f6c5e1b1732152add","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a66cbf50e9c53e351571d9a842ccbc60c0d3bf5d41dc343f6c5e1b1732152add","first_computed_at":"2026-07-05T07:51:04.028766Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:51:04.028766Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"b2djgHHe/XCJ07FJZYiesOnrwi12RqjufmqkFcomXZIVWMTHqn5HCZLU4cGPTVAFPBeNYRCufGhsOprO2xKmCA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:51:04.029176Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.00426","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3690f4b2d65a79a4a1f44a1a58ddc433af36f064401e66fb2943728bc09e8123","sha256:a5e52bc8e41d2130d9d37873db0e531be0bc022159ae1f4debcea30e1bd61e72"],"state_sha256":"605f404a685608f889e12eadcac6573d5f3055a95441edf27f26cebf15b88f42"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fryn3n5EzAV/f/Y3bDaZD880HTNNs52rDASNO49bz4/J21ZiwqkqRht82emoGKQKgttdfnYAPFp4MeH9ZEm1DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T10:07:47.317377Z","bundle_sha256":"57bbe3873703102bb4e3fc22948f3e5c24974f50abf7e70031a58140e4eb9da8"}}