{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:IPLIXY6RCDNJG4CFC6NAYPMMCZ","short_pith_number":"pith:IPLIXY6R","canonical_record":{"source":{"id":"2001.05862","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-01-12T20:51:41Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"d4fbb142b8cea0afbf86ef089805ea636283912cfce30cfa6892397cf1205f6d","abstract_canon_sha256":"529d4593bb2ff897792ed5c487867e22699fd6a2d0632fceff324ba93b1e2954"},"schema_version":"1.0"},"canonical_sha256":"43d68be3d110da937045179a0c3d8c1655a4c805f14b4f1353329d776df80c57","source":{"kind":"arxiv","id":"2001.05862","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2001.05862","created_at":"2026-07-05T00:33:56Z"},{"alias_kind":"arxiv_version","alias_value":"2001.05862v1","created_at":"2026-07-05T00:33:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.05862","created_at":"2026-07-05T00:33:56Z"},{"alias_kind":"pith_short_12","alias_value":"IPLIXY6RCDNJ","created_at":"2026-07-05T00:33:56Z"},{"alias_kind":"pith_short_16","alias_value":"IPLIXY6RCDNJG4CF","created_at":"2026-07-05T00:33:56Z"},{"alias_kind":"pith_short_8","alias_value":"IPLIXY6R","created_at":"2026-07-05T00:33:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:IPLIXY6RCDNJG4CFC6NAYPMMCZ","target":"record","payload":{"canonical_record":{"source":{"id":"2001.05862","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-01-12T20:51:41Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"d4fbb142b8cea0afbf86ef089805ea636283912cfce30cfa6892397cf1205f6d","abstract_canon_sha256":"529d4593bb2ff897792ed5c487867e22699fd6a2d0632fceff324ba93b1e2954"},"schema_version":"1.0"},"canonical_sha256":"43d68be3d110da937045179a0c3d8c1655a4c805f14b4f1353329d776df80c57","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:33:56.622820Z","signature_b64":"KVEXqDMgBHjnm+szp/1AYnIfn5IdrXRC3ZhmUmr/nUXklhcvKVT4mca8UwnekGgE/cAVDL9r780Er/7dJQnTAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"43d68be3d110da937045179a0c3d8c1655a4c805f14b4f1353329d776df80c57","last_reissued_at":"2026-07-05T00:33:56.622395Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:33:56.622395Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2001.05862","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":"2026-07-05T00:33:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b5M920Em5RBTJnEPwRqMIVm+cJKQ1Z7CxKHBKL4uTdz25j4WAL8jTy1Q+fjqY4SoTJiQyfoSvMZ1nauiy3+TBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T14:28:55.173593Z"},"content_sha256":"b2c82e5aeb6c7009acea5ba65249057bd24a62c9303c18a7ce5c74161382173b","schema_version":"1.0","event_id":"sha256:b2c82e5aeb6c7009acea5ba65249057bd24a62c9303c18a7ce5c74161382173b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:IPLIXY6RCDNJG4CFC6NAYPMMCZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.CV","authors_text":"Andreas Maier, Arya Nabavi, Christoph Bert, Ilker Eyupoglo, Jie Luo, Martin Ostermeier, Rebecca Fahrig, Siming Bayer, Tobias Geimer, Ute Spiske, William M. Wells III","submitted_at":"2020-01-12T20:51:41Z","abstract_excerpt":"For a wide range of clinical applications, such as adaptive treatment planning or intraoperative image update, feature-based deformable registration (FDR) approaches are widely employed because of their simplicity and low computational complexity. FDR algorithms estimate a dense displacement field by interpolating a sparse field, which is given by the established correspondence between selected features. In this paper, we consider the deformation field as a Gaussian Process (GP), whereas the selected features are regarded as prior information on the valid deformations. Using GP, we are able to"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.05862","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/2001.05862/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":"2026-07-05T00:33:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aVzTC1Y7eCFedLhqnK6uHN0fAcvOXYUksje2wTd+nQqWDcRpqPP+ivp+rAUhVoNcAUHDRftBFs2eO5WeYb2UBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T14:28:55.173976Z"},"content_sha256":"ea2206ac31e2d4f8406b401e22b34b0e466240d4330bb4bad3eee7c5a1a858e4","schema_version":"1.0","event_id":"sha256:ea2206ac31e2d4f8406b401e22b34b0e466240d4330bb4bad3eee7c5a1a858e4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IPLIXY6RCDNJG4CFC6NAYPMMCZ/bundle.json","state_url":"https://pith.science/pith/IPLIXY6RCDNJG4CFC6NAYPMMCZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IPLIXY6RCDNJG4CFC6NAYPMMCZ/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":"2026-07-06T14:28:55Z","links":{"resolver":"https://pith.science/pith/IPLIXY6RCDNJG4CFC6NAYPMMCZ","bundle":"https://pith.science/pith/IPLIXY6RCDNJG4CFC6NAYPMMCZ/bundle.json","state":"https://pith.science/pith/IPLIXY6RCDNJG4CFC6NAYPMMCZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IPLIXY6RCDNJG4CFC6NAYPMMCZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:IPLIXY6RCDNJG4CFC6NAYPMMCZ","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":"529d4593bb2ff897792ed5c487867e22699fd6a2d0632fceff324ba93b1e2954","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-01-12T20:51:41Z","title_canon_sha256":"d4fbb142b8cea0afbf86ef089805ea636283912cfce30cfa6892397cf1205f6d"},"schema_version":"1.0","source":{"id":"2001.05862","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2001.05862","created_at":"2026-07-05T00:33:56Z"},{"alias_kind":"arxiv_version","alias_value":"2001.05862v1","created_at":"2026-07-05T00:33:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.05862","created_at":"2026-07-05T00:33:56Z"},{"alias_kind":"pith_short_12","alias_value":"IPLIXY6RCDNJ","created_at":"2026-07-05T00:33:56Z"},{"alias_kind":"pith_short_16","alias_value":"IPLIXY6RCDNJG4CF","created_at":"2026-07-05T00:33:56Z"},{"alias_kind":"pith_short_8","alias_value":"IPLIXY6R","created_at":"2026-07-05T00:33:56Z"}],"graph_snapshots":[{"event_id":"sha256:ea2206ac31e2d4f8406b401e22b34b0e466240d4330bb4bad3eee7c5a1a858e4","target":"graph","created_at":"2026-07-05T00:33:56Z","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/2001.05862/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"For a wide range of clinical applications, such as adaptive treatment planning or intraoperative image update, feature-based deformable registration (FDR) approaches are widely employed because of their simplicity and low computational complexity. FDR algorithms estimate a dense displacement field by interpolating a sparse field, which is given by the established correspondence between selected features. In this paper, we consider the deformation field as a Gaussian Process (GP), whereas the selected features are regarded as prior information on the valid deformations. Using GP, we are able to","authors_text":"Andreas Maier, Arya Nabavi, Christoph Bert, Ilker Eyupoglo, Jie Luo, Martin Ostermeier, Rebecca Fahrig, Siming Bayer, Tobias Geimer, Ute Spiske, William M. Wells III","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-01-12T20:51:41Z","title":"An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.05862","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:b2c82e5aeb6c7009acea5ba65249057bd24a62c9303c18a7ce5c74161382173b","target":"record","created_at":"2026-07-05T00:33:56Z","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":"529d4593bb2ff897792ed5c487867e22699fd6a2d0632fceff324ba93b1e2954","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-01-12T20:51:41Z","title_canon_sha256":"d4fbb142b8cea0afbf86ef089805ea636283912cfce30cfa6892397cf1205f6d"},"schema_version":"1.0","source":{"id":"2001.05862","kind":"arxiv","version":1}},"canonical_sha256":"43d68be3d110da937045179a0c3d8c1655a4c805f14b4f1353329d776df80c57","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"43d68be3d110da937045179a0c3d8c1655a4c805f14b4f1353329d776df80c57","first_computed_at":"2026-07-05T00:33:56.622395Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:33:56.622395Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KVEXqDMgBHjnm+szp/1AYnIfn5IdrXRC3ZhmUmr/nUXklhcvKVT4mca8UwnekGgE/cAVDL9r780Er/7dJQnTAA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:33:56.622820Z","signed_message":"canonical_sha256_bytes"},"source_id":"2001.05862","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b2c82e5aeb6c7009acea5ba65249057bd24a62c9303c18a7ce5c74161382173b","sha256:ea2206ac31e2d4f8406b401e22b34b0e466240d4330bb4bad3eee7c5a1a858e4"],"state_sha256":"06c1a3a90a509819008e928d65b2198ad1fd0f9ab55ebe2965a32d8803b5544c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FxbdifFWe/18iyl32KozV2Qcp74Mx/MdA/aZXXpgKXb6os9Qv9jeWFtXo1XgSxp+IB5nY7yUGWPQlmp8GQ9bBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T14:28:55.176022Z","bundle_sha256":"f8fa371b77ebd0abd55225fda9cf45945af823665f643bdc50f8e3295e7ecbd7"}}