{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:UQPT46RE5MYQJCJNMRBE2GKN3G","short_pith_number":"pith:UQPT46RE","schema_version":"1.0","canonical_sha256":"a41f3e7a24eb3104892d64424d194dd9a12e98698911952912f99ea8eaa81b63","source":{"kind":"arxiv","id":"2208.12737","version":1},"attestation_state":"computed","paper":{"title":"Fast Auto-Differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Polina Golland, Vivek Gopalakrishnan","submitted_at":"2022-08-26T15:49:28Z","abstract_excerpt":"The use of digitally reconstructed radiographs (DRRs) to solve inverse problems such as slice-to-volume registration and 3D reconstruction is well-studied in preoperative settings. In intraoperative imaging, the utility of DRRs is limited by the challenges in generating them in real-time and supporting optimization procedures that rely on repeated DRR synthesis. While immense progress has been made in accelerating the generation of DRRs through algorithmic refinements and GPU implementations, DRR-based optimization remains slow because most DRR generators do not offer a straightforward way to "},"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":"2208.12737","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-08-26T15:49:28Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"2cdb8326676c2b648a1fe2d25a40112de25d5d5fcc6c9597247d48ffdf896941","abstract_canon_sha256":"0a9575ec38e80bbe1c917737b3d5baca9240beec0be4b3641055dadf3537367a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:51:49.356647Z","signature_b64":"H0ELd1IgW8qKywX1BIlJDixgwdBekUiRsaa4yDv0I121odrsxueBEUlqnCJXEeb26IgZKJa/5egi7Ok7mjDaCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a41f3e7a24eb3104892d64424d194dd9a12e98698911952912f99ea8eaa81b63","last_reissued_at":"2026-07-05T04:51:49.356287Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:51:49.356287Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Fast Auto-Differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Polina Golland, Vivek Gopalakrishnan","submitted_at":"2022-08-26T15:49:28Z","abstract_excerpt":"The use of digitally reconstructed radiographs (DRRs) to solve inverse problems such as slice-to-volume registration and 3D reconstruction is well-studied in preoperative settings. In intraoperative imaging, the utility of DRRs is limited by the challenges in generating them in real-time and supporting optimization procedures that rely on repeated DRR synthesis. While immense progress has been made in accelerating the generation of DRRs through algorithmic refinements and GPU implementations, DRR-based optimization remains slow because most DRR generators do not offer a straightforward way to "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.12737","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/2208.12737/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":"2208.12737","created_at":"2026-07-05T04:51:49.356355+00:00"},{"alias_kind":"arxiv_version","alias_value":"2208.12737v1","created_at":"2026-07-05T04:51:49.356355+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.12737","created_at":"2026-07-05T04:51:49.356355+00:00"},{"alias_kind":"pith_short_12","alias_value":"UQPT46RE5MYQ","created_at":"2026-07-05T04:51:49.356355+00:00"},{"alias_kind":"pith_short_16","alias_value":"UQPT46RE5MYQJCJN","created_at":"2026-07-05T04:51:49.356355+00:00"},{"alias_kind":"pith_short_8","alias_value":"UQPT46RE","created_at":"2026-07-05T04:51:49.356355+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/UQPT46RE5MYQJCJNMRBE2GKN3G","json":"https://pith.science/pith/UQPT46RE5MYQJCJNMRBE2GKN3G.json","graph_json":"https://pith.science/api/pith-number/UQPT46RE5MYQJCJNMRBE2GKN3G/graph.json","events_json":"https://pith.science/api/pith-number/UQPT46RE5MYQJCJNMRBE2GKN3G/events.json","paper":"https://pith.science/paper/UQPT46RE"},"agent_actions":{"view_html":"https://pith.science/pith/UQPT46RE5MYQJCJNMRBE2GKN3G","download_json":"https://pith.science/pith/UQPT46RE5MYQJCJNMRBE2GKN3G.json","view_paper":"https://pith.science/paper/UQPT46RE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2208.12737&json=true","fetch_graph":"https://pith.science/api/pith-number/UQPT46RE5MYQJCJNMRBE2GKN3G/graph.json","fetch_events":"https://pith.science/api/pith-number/UQPT46RE5MYQJCJNMRBE2GKN3G/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UQPT46RE5MYQJCJNMRBE2GKN3G/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UQPT46RE5MYQJCJNMRBE2GKN3G/action/storage_attestation","attest_author":"https://pith.science/pith/UQPT46RE5MYQJCJNMRBE2GKN3G/action/author_attestation","sign_citation":"https://pith.science/pith/UQPT46RE5MYQJCJNMRBE2GKN3G/action/citation_signature","submit_replication":"https://pith.science/pith/UQPT46RE5MYQJCJNMRBE2GKN3G/action/replication_record"}},"created_at":"2026-07-05T04:51:49.356355+00:00","updated_at":"2026-07-05T04:51:49.356355+00:00"}