{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:MBRTW6K2NIIHMWVTEQU657GRLO","short_pith_number":"pith:MBRTW6K2","canonical_record":{"source":{"id":"1704.04825","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.med-ph","submitted_at":"2017-04-16T22:02:27Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"fab403e357864d983ae82e4ce6a3e41f871517f0d27e80c4fe4668c8abd376be","abstract_canon_sha256":"7ac2e6f17d42fb917491bda093c8eeb703ef651b8685ce7ad0538e19b8f17236"},"schema_version":"1.0"},"canonical_sha256":"60633b795a6a10765ab32429eefcd15b8b67b2ffa02d58e4a8390532dc57362e","source":{"kind":"arxiv","id":"1704.04825","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.04825","created_at":"2026-05-18T00:46:17Z"},{"alias_kind":"arxiv_version","alias_value":"1704.04825v1","created_at":"2026-05-18T00:46:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.04825","created_at":"2026-05-18T00:46:17Z"},{"alias_kind":"pith_short_12","alias_value":"MBRTW6K2NIIH","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"MBRTW6K2NIIHMWVT","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"MBRTW6K2","created_at":"2026-05-18T12:31:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:MBRTW6K2NIIHMWVTEQU657GRLO","target":"record","payload":{"canonical_record":{"source":{"id":"1704.04825","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.med-ph","submitted_at":"2017-04-16T22:02:27Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"fab403e357864d983ae82e4ce6a3e41f871517f0d27e80c4fe4668c8abd376be","abstract_canon_sha256":"7ac2e6f17d42fb917491bda093c8eeb703ef651b8685ce7ad0538e19b8f17236"},"schema_version":"1.0"},"canonical_sha256":"60633b795a6a10765ab32429eefcd15b8b67b2ffa02d58e4a8390532dc57362e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:46:17.643844Z","signature_b64":"5YaXUwXDIEwKNbW0+cyBDsSqfnvSc+p6+YrvgGe3dSK7CZvV95dxUZI2MlgLsteUVrEI5ShxQtfrKw7VZ8f4Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"60633b795a6a10765ab32429eefcd15b8b67b2ffa02d58e4a8390532dc57362e","last_reissued_at":"2026-05-18T00:46:17.643321Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:46:17.643321Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1704.04825","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":"2026-05-18T00:46:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UlgqHeaDp36mNZjv8r527RVXjbCz7dgIkjzWdNNcXfCt4JJdMwxK3ZS7C6MG8akCpp7iGMnR2FHqJp3t5vCVDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T15:51:49.250808Z"},"content_sha256":"ddbb188bb1839301f35e22f0cb39fb6858db29afb180fe7d083db4888aea8bee","schema_version":"1.0","event_id":"sha256:ddbb188bb1839301f35e22f0cb39fb6858db29afb180fe7d083db4888aea8bee"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:MBRTW6K2NIIHMWVTEQU657GRLO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CT Image Reconstruction in a Low Dimensional Manifold","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"physics.med-ph","authors_text":"Ge Wang, Jia Li, Jiang Hsieh, Qingsong Yang, Rongjie Lai, Wenxiang Cong","submitted_at":"2017-04-16T22:02:27Z","abstract_excerpt":"Regularization methods are commonly used in X-ray CT image reconstruction. Different regularization methods reflect the characterization of different prior knowledge of images. In a recent work, a new regularization method called a low-dimensional manifold model (LDMM) is investigated to characterize the low-dimensional patch manifold structure of natural images, where the manifold dimensionality characterizes structural information of an image. In this paper, we propose a CT image reconstruction method based on the prior knowledge of the low-dimensional manifold of CT image. Using the clinica"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.04825","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":""},"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":"2026-05-18T00:46:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5b6qkr8JKJ4dihZpnnOjG9xGdY0VYPsKp3g0IVToc57obQyYtweiHpqgdFq2IdETJVkDAkxrEFfBQeBYgXCnCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T15:51:49.251150Z"},"content_sha256":"4697a1424842ebe8c46c6f257f3bac7c39f71b713ca57f6f2f1e453e9b81969f","schema_version":"1.0","event_id":"sha256:4697a1424842ebe8c46c6f257f3bac7c39f71b713ca57f6f2f1e453e9b81969f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MBRTW6K2NIIHMWVTEQU657GRLO/bundle.json","state_url":"https://pith.science/pith/MBRTW6K2NIIHMWVTEQU657GRLO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MBRTW6K2NIIHMWVTEQU657GRLO/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":"2026-06-02T15:51:49Z","links":{"resolver":"https://pith.science/pith/MBRTW6K2NIIHMWVTEQU657GRLO","bundle":"https://pith.science/pith/MBRTW6K2NIIHMWVTEQU657GRLO/bundle.json","state":"https://pith.science/pith/MBRTW6K2NIIHMWVTEQU657GRLO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MBRTW6K2NIIHMWVTEQU657GRLO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:MBRTW6K2NIIHMWVTEQU657GRLO","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":"7ac2e6f17d42fb917491bda093c8eeb703ef651b8685ce7ad0538e19b8f17236","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.med-ph","submitted_at":"2017-04-16T22:02:27Z","title_canon_sha256":"fab403e357864d983ae82e4ce6a3e41f871517f0d27e80c4fe4668c8abd376be"},"schema_version":"1.0","source":{"id":"1704.04825","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.04825","created_at":"2026-05-18T00:46:17Z"},{"alias_kind":"arxiv_version","alias_value":"1704.04825v1","created_at":"2026-05-18T00:46:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.04825","created_at":"2026-05-18T00:46:17Z"},{"alias_kind":"pith_short_12","alias_value":"MBRTW6K2NIIH","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"MBRTW6K2NIIHMWVT","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"MBRTW6K2","created_at":"2026-05-18T12:31:31Z"}],"graph_snapshots":[{"event_id":"sha256:4697a1424842ebe8c46c6f257f3bac7c39f71b713ca57f6f2f1e453e9b81969f","target":"graph","created_at":"2026-05-18T00:46:17Z","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"},"paper":{"abstract_excerpt":"Regularization methods are commonly used in X-ray CT image reconstruction. Different regularization methods reflect the characterization of different prior knowledge of images. In a recent work, a new regularization method called a low-dimensional manifold model (LDMM) is investigated to characterize the low-dimensional patch manifold structure of natural images, where the manifold dimensionality characterizes structural information of an image. In this paper, we propose a CT image reconstruction method based on the prior knowledge of the low-dimensional manifold of CT image. Using the clinica","authors_text":"Ge Wang, Jia Li, Jiang Hsieh, Qingsong Yang, Rongjie Lai, Wenxiang Cong","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.med-ph","submitted_at":"2017-04-16T22:02:27Z","title":"CT Image Reconstruction in a Low Dimensional Manifold"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.04825","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:ddbb188bb1839301f35e22f0cb39fb6858db29afb180fe7d083db4888aea8bee","target":"record","created_at":"2026-05-18T00:46:17Z","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":"7ac2e6f17d42fb917491bda093c8eeb703ef651b8685ce7ad0538e19b8f17236","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.med-ph","submitted_at":"2017-04-16T22:02:27Z","title_canon_sha256":"fab403e357864d983ae82e4ce6a3e41f871517f0d27e80c4fe4668c8abd376be"},"schema_version":"1.0","source":{"id":"1704.04825","kind":"arxiv","version":1}},"canonical_sha256":"60633b795a6a10765ab32429eefcd15b8b67b2ffa02d58e4a8390532dc57362e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"60633b795a6a10765ab32429eefcd15b8b67b2ffa02d58e4a8390532dc57362e","first_computed_at":"2026-05-18T00:46:17.643321Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:46:17.643321Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5YaXUwXDIEwKNbW0+cyBDsSqfnvSc+p6+YrvgGe3dSK7CZvV95dxUZI2MlgLsteUVrEI5ShxQtfrKw7VZ8f4Aw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:46:17.643844Z","signed_message":"canonical_sha256_bytes"},"source_id":"1704.04825","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ddbb188bb1839301f35e22f0cb39fb6858db29afb180fe7d083db4888aea8bee","sha256:4697a1424842ebe8c46c6f257f3bac7c39f71b713ca57f6f2f1e453e9b81969f"],"state_sha256":"9462c707faa46957a8236b3becc2931db613e2206ef7e972e11eb43b8ba83ab4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tZ+GSB/ugGMIDxLvfVAre+pO/2Am3862+5NPEDzRcp6PrxFvIplUuf7UYMGZhBDJTwK0DoTpS87x07d2WGfpCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T15:51:49.253191Z","bundle_sha256":"6796655d77640686c07d1c93f7546331cfb5af1854b05346aa6da15e873f3efd"}}