{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:55CW2ZMINLA46VZM7JGPES7XCG","short_pith_number":"pith:55CW2ZMI","canonical_record":{"source":{"id":"1504.07643","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2015-04-28T20:06:35Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"21257297ca54988815cbce3b14422f3befd1379e0727190d5e4fd678ca89b2a3","abstract_canon_sha256":"e578db2ff44c0b2c24c35f5952890f7859330fe40413191e8bbc7cbbe5e7efea"},"schema_version":"1.0"},"canonical_sha256":"ef456d65886ac1cf572cfa4cf24bf711895e4bd5dbd0c1251c841d66bf9367b3","source":{"kind":"arxiv","id":"1504.07643","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1504.07643","created_at":"2026-05-18T02:17:32Z"},{"alias_kind":"arxiv_version","alias_value":"1504.07643v1","created_at":"2026-05-18T02:17:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1504.07643","created_at":"2026-05-18T02:17:32Z"},{"alias_kind":"pith_short_12","alias_value":"55CW2ZMINLA4","created_at":"2026-05-18T12:29:05Z"},{"alias_kind":"pith_short_16","alias_value":"55CW2ZMINLA46VZM","created_at":"2026-05-18T12:29:05Z"},{"alias_kind":"pith_short_8","alias_value":"55CW2ZMI","created_at":"2026-05-18T12:29:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:55CW2ZMINLA46VZM7JGPES7XCG","target":"record","payload":{"canonical_record":{"source":{"id":"1504.07643","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2015-04-28T20:06:35Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"21257297ca54988815cbce3b14422f3befd1379e0727190d5e4fd678ca89b2a3","abstract_canon_sha256":"e578db2ff44c0b2c24c35f5952890f7859330fe40413191e8bbc7cbbe5e7efea"},"schema_version":"1.0"},"canonical_sha256":"ef456d65886ac1cf572cfa4cf24bf711895e4bd5dbd0c1251c841d66bf9367b3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:17:32.702069Z","signature_b64":"2vXCuWXkC2VK22vFnm/UaM0mwnFVEoTSa2Ch+jgUdHqhDDcIxyTNBVc5StgUiAF46e1c9c35gZ1Oh3yyHSlgAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ef456d65886ac1cf572cfa4cf24bf711895e4bd5dbd0c1251c841d66bf9367b3","last_reissued_at":"2026-05-18T02:17:32.701176Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:17:32.701176Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1504.07643","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":"2026-05-18T02:17:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fe3IUOBFOyRUhfShe4ktCTQZKthNlklGnaU4azJCaaihUA2G55Lq1o38Vh/iYF8QUkkSBrM5E9nnifSxYZprDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T22:59:21.293899Z"},"content_sha256":"1ec3441ed6f2a632979dde7903606e8df817b185290d32b76fceaebd72e2d31e","schema_version":"1.0","event_id":"sha256:1ec3441ed6f2a632979dde7903606e8df817b185290d32b76fceaebd72e2d31e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:55CW2ZMINLA46VZM7JGPES7XCG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A novel variational model for image registration using Gaussian curvature","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"math.NA","authors_text":"Carlos Brito-Loeza, Ke Chen, Mazlinda Ibrahim","submitted_at":"2015-04-28T20:06:35Z","abstract_excerpt":"Image registration is one important task in many image processing applications. It aims to align two or more images so that useful information can be extracted through comparison, combination or superposition. This is achieved by constructing an optimal trans- formation which ensures that the template image becomes similar to a given reference image. Although many models exist, designing a model capable of modelling large and smooth deformation field continues to pose a challenge. This paper proposes a novel variational model for image registration using the Gaussian curvature as a regulariser"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1504.07643","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":"2026-05-18T02:17:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2w+OulDwp4flleSYK3sarLg+hwZ+2FBWfQxUV8RbBpdoWeC53m729zGBvhaxw4fVO8db4hpw2V8He+HLdSgtAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T22:59:21.294300Z"},"content_sha256":"32cf94d3561c0d68f080d7f00f03de6ab48162e961dc6654d37c04265905d62c","schema_version":"1.0","event_id":"sha256:32cf94d3561c0d68f080d7f00f03de6ab48162e961dc6654d37c04265905d62c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/55CW2ZMINLA46VZM7JGPES7XCG/bundle.json","state_url":"https://pith.science/pith/55CW2ZMINLA46VZM7JGPES7XCG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/55CW2ZMINLA46VZM7JGPES7XCG/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":"2026-05-26T22:59:21Z","links":{"resolver":"https://pith.science/pith/55CW2ZMINLA46VZM7JGPES7XCG","bundle":"https://pith.science/pith/55CW2ZMINLA46VZM7JGPES7XCG/bundle.json","state":"https://pith.science/pith/55CW2ZMINLA46VZM7JGPES7XCG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/55CW2ZMINLA46VZM7JGPES7XCG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:55CW2ZMINLA46VZM7JGPES7XCG","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":"e578db2ff44c0b2c24c35f5952890f7859330fe40413191e8bbc7cbbe5e7efea","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2015-04-28T20:06:35Z","title_canon_sha256":"21257297ca54988815cbce3b14422f3befd1379e0727190d5e4fd678ca89b2a3"},"schema_version":"1.0","source":{"id":"1504.07643","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1504.07643","created_at":"2026-05-18T02:17:32Z"},{"alias_kind":"arxiv_version","alias_value":"1504.07643v1","created_at":"2026-05-18T02:17:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1504.07643","created_at":"2026-05-18T02:17:32Z"},{"alias_kind":"pith_short_12","alias_value":"55CW2ZMINLA4","created_at":"2026-05-18T12:29:05Z"},{"alias_kind":"pith_short_16","alias_value":"55CW2ZMINLA46VZM","created_at":"2026-05-18T12:29:05Z"},{"alias_kind":"pith_short_8","alias_value":"55CW2ZMI","created_at":"2026-05-18T12:29:05Z"}],"graph_snapshots":[{"event_id":"sha256:32cf94d3561c0d68f080d7f00f03de6ab48162e961dc6654d37c04265905d62c","target":"graph","created_at":"2026-05-18T02:17:32Z","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":"Image registration is one important task in many image processing applications. It aims to align two or more images so that useful information can be extracted through comparison, combination or superposition. This is achieved by constructing an optimal trans- formation which ensures that the template image becomes similar to a given reference image. Although many models exist, designing a model capable of modelling large and smooth deformation field continues to pose a challenge. This paper proposes a novel variational model for image registration using the Gaussian curvature as a regulariser","authors_text":"Carlos Brito-Loeza, Ke Chen, Mazlinda Ibrahim","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2015-04-28T20:06:35Z","title":"A novel variational model for image registration using Gaussian curvature"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1504.07643","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":"sha256:1ec3441ed6f2a632979dde7903606e8df817b185290d32b76fceaebd72e2d31e","target":"record","created_at":"2026-05-18T02:17:32Z","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":"e578db2ff44c0b2c24c35f5952890f7859330fe40413191e8bbc7cbbe5e7efea","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2015-04-28T20:06:35Z","title_canon_sha256":"21257297ca54988815cbce3b14422f3befd1379e0727190d5e4fd678ca89b2a3"},"schema_version":"1.0","source":{"id":"1504.07643","kind":"arxiv","version":1}},"canonical_sha256":"ef456d65886ac1cf572cfa4cf24bf711895e4bd5dbd0c1251c841d66bf9367b3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ef456d65886ac1cf572cfa4cf24bf711895e4bd5dbd0c1251c841d66bf9367b3","first_computed_at":"2026-05-18T02:17:32.701176Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:17:32.701176Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2vXCuWXkC2VK22vFnm/UaM0mwnFVEoTSa2Ch+jgUdHqhDDcIxyTNBVc5StgUiAF46e1c9c35gZ1Oh3yyHSlgAA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:17:32.702069Z","signed_message":"canonical_sha256_bytes"},"source_id":"1504.07643","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1ec3441ed6f2a632979dde7903606e8df817b185290d32b76fceaebd72e2d31e","sha256:32cf94d3561c0d68f080d7f00f03de6ab48162e961dc6654d37c04265905d62c"],"state_sha256":"e9951f9c4aed132f87d07473a07cb195c9f5e301174182c621d7422438dd2879"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EJVna+L8WGspLjqvllBClPMdiyGjbPGinErOQKJSmlQqubMtgwjviD1NtsV4kJ6I5tf9BBW+C0vZpq6Bjo7+Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T22:59:21.296469Z","bundle_sha256":"cc257e1bd56bb5282553fbf27e61b74d2965c34ece1b4a7eb5d517901e7777c1"}}