{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:44TLOEAFHNTJJ2INBSMJSDSLD7","short_pith_number":"pith:44TLOEAF","schema_version":"1.0","canonical_sha256":"e726b710053b6694e90d0c98990e4b1ffe9262eac5f18ba588affc2a24e7ef3e","source":{"kind":"arxiv","id":"2608.13159","version":1},"attestation_state":"computed","paper":{"title":"Splat-based Metal Artifact Reduction in Cone-Beam CT via Polychromatic Modeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Hyeongjun Cho, Inchul Kim, Jaemin Cho, Kiseok Choi, Min H. Kim","submitted_at":"2026-08-13T12:25:42Z","abstract_excerpt":"Cone-beam computed tomography (CBCT) enables volumetric reconstruction from X-ray projections, but suffers from severe artifacts--especially beam hardening--when imaging materials with high attenuation such as metals. These artifacts arise from the polychromatic nature of X-rays and are not properly addressed by conventional monochromatic reconstruction algorithms. While recent neural representation-based methods offer improved reconstruction quality, they are computationally expensive and often impractical for deployment. We propose a novel physics-inspired, self-calibrating metal artifact re"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2608.13159","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-13T12:25:42Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"fc475f059acfb0202e251db5e138413d2d7a9c0c39d618bc8cba266270166c5e","abstract_canon_sha256":"f9a875e90aea27894796d0787be46239bd1ba301838798bb5ee89ba297d4553f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-14T01:00:31.060899Z","signature_b64":"ZghA627MqNiok9SvBVQXnbTUup43XGw8soQvJpcpvI+aZ9xd9SzkTyD4GLQWLt7KnKhXpN2tcsLFuNCKh/SNAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e726b710053b6694e90d0c98990e4b1ffe9262eac5f18ba588affc2a24e7ef3e","last_reissued_at":"2026-08-14T01:00:31.058773Z","signature_status":"signed_v1","first_computed_at":"2026-08-14T01:00:31.058773Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Splat-based Metal Artifact Reduction in Cone-Beam CT via Polychromatic Modeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Hyeongjun Cho, Inchul Kim, Jaemin Cho, Kiseok Choi, Min H. Kim","submitted_at":"2026-08-13T12:25:42Z","abstract_excerpt":"Cone-beam computed tomography (CBCT) enables volumetric reconstruction from X-ray projections, but suffers from severe artifacts--especially beam hardening--when imaging materials with high attenuation such as metals. These artifacts arise from the polychromatic nature of X-rays and are not properly addressed by conventional monochromatic reconstruction algorithms. While recent neural representation-based methods offer improved reconstruction quality, they are computationally expensive and often impractical for deployment. We propose a novel physics-inspired, self-calibrating metal artifact re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.13159","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/2608.13159/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2608.13159","created_at":"2026-08-14T01:00:31.059796+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.13159v1","created_at":"2026-08-14T01:00:31.059796+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.13159","created_at":"2026-08-14T01:00:31.059796+00:00"},{"alias_kind":"pith_short_12","alias_value":"44TLOEAFHNTJ","created_at":"2026-08-14T01:00:31.059796+00:00"},{"alias_kind":"pith_short_16","alias_value":"44TLOEAFHNTJJ2IN","created_at":"2026-08-14T01:00:31.059796+00:00"},{"alias_kind":"pith_short_8","alias_value":"44TLOEAF","created_at":"2026-08-14T01:00:31.059796+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/44TLOEAFHNTJJ2INBSMJSDSLD7","json":"https://pith.science/pith/44TLOEAFHNTJJ2INBSMJSDSLD7.json","graph_json":"https://pith.science/api/pith-number/44TLOEAFHNTJJ2INBSMJSDSLD7/graph.json","events_json":"https://pith.science/api/pith-number/44TLOEAFHNTJJ2INBSMJSDSLD7/events.json","paper":"https://pith.science/paper/44TLOEAF"},"agent_actions":{"view_html":"https://pith.science/pith/44TLOEAFHNTJJ2INBSMJSDSLD7","download_json":"https://pith.science/pith/44TLOEAFHNTJJ2INBSMJSDSLD7.json","view_paper":"https://pith.science/paper/44TLOEAF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.13159&json=true","fetch_graph":"https://pith.science/api/pith-number/44TLOEAFHNTJJ2INBSMJSDSLD7/graph.json","fetch_events":"https://pith.science/api/pith-number/44TLOEAFHNTJJ2INBSMJSDSLD7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/44TLOEAFHNTJJ2INBSMJSDSLD7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/44TLOEAFHNTJJ2INBSMJSDSLD7/action/storage_attestation","attest_author":"https://pith.science/pith/44TLOEAFHNTJJ2INBSMJSDSLD7/action/author_attestation","sign_citation":"https://pith.science/pith/44TLOEAFHNTJJ2INBSMJSDSLD7/action/citation_signature","submit_replication":"https://pith.science/pith/44TLOEAFHNTJJ2INBSMJSDSLD7/action/replication_record"}},"created_at":"2026-08-14T01:00:31.059796+00:00","updated_at":"2026-08-14T01:00:31.059796+00:00"}