{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4Y65MSTKUL2JDCMNX4BIPF7H2B","short_pith_number":"pith:4Y65MSTK","canonical_record":{"source":{"id":"2404.17890","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-04-27T12:55:13Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"acc8343633cd5e5d21828920f8b64d8744384bcc74cac264264e99b8e1a608bf","abstract_canon_sha256":"740c3e07c73d52edcffc025b98b0d31099b8bd40a829b17213360feac1acdd72"},"schema_version":"1.0"},"canonical_sha256":"e63dd64a6aa2f491898dbf028797e7d05db7a02448032f8958e2825a48882ee7","source":{"kind":"arxiv","id":"2404.17890","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.17890","created_at":"2026-07-05T08:45:51Z"},{"alias_kind":"arxiv_version","alias_value":"2404.17890v2","created_at":"2026-07-05T08:45:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.17890","created_at":"2026-07-05T08:45:51Z"},{"alias_kind":"pith_short_12","alias_value":"4Y65MSTKUL2J","created_at":"2026-07-05T08:45:51Z"},{"alias_kind":"pith_short_16","alias_value":"4Y65MSTKUL2JDCMN","created_at":"2026-07-05T08:45:51Z"},{"alias_kind":"pith_short_8","alias_value":"4Y65MSTK","created_at":"2026-07-05T08:45:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4Y65MSTKUL2JDCMNX4BIPF7H2B","target":"record","payload":{"canonical_record":{"source":{"id":"2404.17890","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-04-27T12:55:13Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"acc8343633cd5e5d21828920f8b64d8744384bcc74cac264264e99b8e1a608bf","abstract_canon_sha256":"740c3e07c73d52edcffc025b98b0d31099b8bd40a829b17213360feac1acdd72"},"schema_version":"1.0"},"canonical_sha256":"e63dd64a6aa2f491898dbf028797e7d05db7a02448032f8958e2825a48882ee7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:45:51.378670Z","signature_b64":"YfjQbUEK9cCBBZ+WypYs4ad2hA3YYD2QLeVm+GjPZey6NilLw5nrBcldOfA5vhsyRsQZnFni3qdreo5kB6h+Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e63dd64a6aa2f491898dbf028797e7d05db7a02448032f8958e2825a48882ee7","last_reissued_at":"2026-07-05T08:45:51.378248Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:45:51.378248Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.17890","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:45:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xWguwR/3WrLryK2jTn5d3YUmUzSn5Ic1TyNzRvXF067H0pqRPRdSfLRGYZNarsdFa5iXDUdMHx34HkeSjogLBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T06:00:43.311592Z"},"content_sha256":"8c7753de9ae524b8f35a4badb9476826dd515c7a0045e7c4e48c63a4a741d954","schema_version":"1.0","event_id":"sha256:8c7753de9ae524b8f35a4badb9476826dd515c7a0045e7c4e48c63a4a741d954"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4Y65MSTKUL2JDCMNX4BIPF7H2B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DPER: Diffusion Prior Driven Neural Representation for Limited Angle and Sparse View CT Reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"eess.IV","authors_text":"Chenhe Du, Hongjiang Wei, Jingyi Yu, Qing Wu, Rui Zheng, S. Kevin Zhou, Xiyue Lin, Xuanyu Tian, Yang Chen, Ying Su, Yuyao Zhang, Zhe Luo","submitted_at":"2024-04-27T12:55:13Z","abstract_excerpt":"Limited-angle and sparse-view computed tomography (LACT and SVCT) are crucial for expanding the scope of X-ray CT applications. However, they face challenges due to incomplete data acquisition, resulting in diverse artifacts in the reconstructed CT images. Emerging implicit neural representation (INR) techniques, such as NeRF, NeAT, and NeRP, have shown promise in under-determined CT imaging reconstruction tasks. However, the unsupervised nature of INR architecture imposes limited constraints on the solution space, particularly for the highly ill-posed reconstruction task posed by LACT and ult"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.17890","kind":"arxiv","version":2},"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/2404.17890/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":"2026-07-05T08:45:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hwQqP8ao5ChJJfi+Nyv1WHGaF66ktbTodcYMAAOz7G6vEuRWigoev7DSSE7E1jPmIc465h9CUd3iTIBNi70QDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T06:00:43.312672Z"},"content_sha256":"d3315c631db6cf2e7cccaeabde5cf89aa6b8bb50a33c3bba91974f10e4b8ece7","schema_version":"1.0","event_id":"sha256:d3315c631db6cf2e7cccaeabde5cf89aa6b8bb50a33c3bba91974f10e4b8ece7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4Y65MSTKUL2JDCMNX4BIPF7H2B/bundle.json","state_url":"https://pith.science/pith/4Y65MSTKUL2JDCMNX4BIPF7H2B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4Y65MSTKUL2JDCMNX4BIPF7H2B/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":"2026-08-18T06:00:43Z","links":{"resolver":"https://pith.science/pith/4Y65MSTKUL2JDCMNX4BIPF7H2B","bundle":"https://pith.science/pith/4Y65MSTKUL2JDCMNX4BIPF7H2B/bundle.json","state":"https://pith.science/pith/4Y65MSTKUL2JDCMNX4BIPF7H2B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4Y65MSTKUL2JDCMNX4BIPF7H2B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4Y65MSTKUL2JDCMNX4BIPF7H2B","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":"740c3e07c73d52edcffc025b98b0d31099b8bd40a829b17213360feac1acdd72","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-04-27T12:55:13Z","title_canon_sha256":"acc8343633cd5e5d21828920f8b64d8744384bcc74cac264264e99b8e1a608bf"},"schema_version":"1.0","source":{"id":"2404.17890","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.17890","created_at":"2026-07-05T08:45:51Z"},{"alias_kind":"arxiv_version","alias_value":"2404.17890v2","created_at":"2026-07-05T08:45:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.17890","created_at":"2026-07-05T08:45:51Z"},{"alias_kind":"pith_short_12","alias_value":"4Y65MSTKUL2J","created_at":"2026-07-05T08:45:51Z"},{"alias_kind":"pith_short_16","alias_value":"4Y65MSTKUL2JDCMN","created_at":"2026-07-05T08:45:51Z"},{"alias_kind":"pith_short_8","alias_value":"4Y65MSTK","created_at":"2026-07-05T08:45:51Z"}],"graph_snapshots":[{"event_id":"sha256:d3315c631db6cf2e7cccaeabde5cf89aa6b8bb50a33c3bba91974f10e4b8ece7","target":"graph","created_at":"2026-07-05T08:45:51Z","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/2404.17890/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Limited-angle and sparse-view computed tomography (LACT and SVCT) are crucial for expanding the scope of X-ray CT applications. However, they face challenges due to incomplete data acquisition, resulting in diverse artifacts in the reconstructed CT images. Emerging implicit neural representation (INR) techniques, such as NeRF, NeAT, and NeRP, have shown promise in under-determined CT imaging reconstruction tasks. However, the unsupervised nature of INR architecture imposes limited constraints on the solution space, particularly for the highly ill-posed reconstruction task posed by LACT and ult","authors_text":"Chenhe Du, Hongjiang Wei, Jingyi Yu, Qing Wu, Rui Zheng, S. Kevin Zhou, Xiyue Lin, Xuanyu Tian, Yang Chen, Ying Su, Yuyao Zhang, Zhe Luo","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-04-27T12:55:13Z","title":"DPER: Diffusion Prior Driven Neural Representation for Limited Angle and Sparse View CT Reconstruction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.17890","kind":"arxiv","version":2},"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":"sha256:8c7753de9ae524b8f35a4badb9476826dd515c7a0045e7c4e48c63a4a741d954","target":"record","created_at":"2026-07-05T08:45:51Z","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":"740c3e07c73d52edcffc025b98b0d31099b8bd40a829b17213360feac1acdd72","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-04-27T12:55:13Z","title_canon_sha256":"acc8343633cd5e5d21828920f8b64d8744384bcc74cac264264e99b8e1a608bf"},"schema_version":"1.0","source":{"id":"2404.17890","kind":"arxiv","version":2}},"canonical_sha256":"e63dd64a6aa2f491898dbf028797e7d05db7a02448032f8958e2825a48882ee7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e63dd64a6aa2f491898dbf028797e7d05db7a02448032f8958e2825a48882ee7","first_computed_at":"2026-07-05T08:45:51.378248Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:45:51.378248Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YfjQbUEK9cCBBZ+WypYs4ad2hA3YYD2QLeVm+GjPZey6NilLw5nrBcldOfA5vhsyRsQZnFni3qdreo5kB6h+Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:45:51.378670Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.17890","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8c7753de9ae524b8f35a4badb9476826dd515c7a0045e7c4e48c63a4a741d954","sha256:d3315c631db6cf2e7cccaeabde5cf89aa6b8bb50a33c3bba91974f10e4b8ece7"],"state_sha256":"7121f0dcfbca9a430fb9a4ffa5be358d02f9a1eaca13a037a45df10c8a8ded29"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Mcwa5e/X1S4ThCMnTEyUyHfhUIqfemzGplNP/IdJopYsc6XlhUJxRz2x2YuSxA6BigcN4mT3n+3zp7z5nVH5Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T06:00:43.319385Z","bundle_sha256":"e29e4e0993f9a48a5da2c4e51e1b85a4dac87b8841a004187313f39b3ff38cfb"}}