{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:3HQIBZKK4ET4ODI42S2YL7DETJ","short_pith_number":"pith:3HQIBZKK","canonical_record":{"source":{"id":"2010.02505","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-02T13:43:50Z","cross_cats_sorted":[],"title_canon_sha256":"5dac4640e82fee1def47d4aaf3dbe16486c61a3efdcbc9da664052d5c825e9b3","abstract_canon_sha256":"d4c9f04820a7dd6b7d10967200c2a1355cd1477afaa4e473b85724dab0a5d074"},"schema_version":"1.0"},"canonical_sha256":"d9e080e54ae127c70d1cd4b585fc649a747b28b7c0b16b5c50ada49f35272a3c","source":{"kind":"arxiv","id":"2010.02505","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.02505","created_at":"2026-07-05T01:40:50Z"},{"alias_kind":"arxiv_version","alias_value":"2010.02505v1","created_at":"2026-07-05T01:40:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.02505","created_at":"2026-07-05T01:40:50Z"},{"alias_kind":"pith_short_12","alias_value":"3HQIBZKK4ET4","created_at":"2026-07-05T01:40:50Z"},{"alias_kind":"pith_short_16","alias_value":"3HQIBZKK4ET4ODI4","created_at":"2026-07-05T01:40:50Z"},{"alias_kind":"pith_short_8","alias_value":"3HQIBZKK","created_at":"2026-07-05T01:40:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:3HQIBZKK4ET4ODI42S2YL7DETJ","target":"record","payload":{"canonical_record":{"source":{"id":"2010.02505","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-02T13:43:50Z","cross_cats_sorted":[],"title_canon_sha256":"5dac4640e82fee1def47d4aaf3dbe16486c61a3efdcbc9da664052d5c825e9b3","abstract_canon_sha256":"d4c9f04820a7dd6b7d10967200c2a1355cd1477afaa4e473b85724dab0a5d074"},"schema_version":"1.0"},"canonical_sha256":"d9e080e54ae127c70d1cd4b585fc649a747b28b7c0b16b5c50ada49f35272a3c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:40:50.707750Z","signature_b64":"6yGlJeH3kwWXx5uB51cRt5dHcP5S4uTqxE/73pNRptLWFvixTlzOy4cWGNSbGvWPYXh7vRoNqD/B8PoQqA5mAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d9e080e54ae127c70d1cd4b585fc649a747b28b7c0b16b5c50ada49f35272a3c","last_reissued_at":"2026-07-05T01:40:50.707308Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:40:50.707308Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2010.02505","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":"2026-07-05T01:40:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Wx2ykaN1UPhwNVwSAUkhehGtRLu9sB9qtLG2f8ohUburTyMIuYDF3mpcN0DKhqWYiMfk0W1nrWAPTa9aVL15Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T17:44:17.725636Z"},"content_sha256":"f83cbc740a63e465114d3ad116db15add570bdfe009060f4e34974f8e7c59b2c","schema_version":"1.0","event_id":"sha256:f83cbc740a63e465114d3ad116db15add570bdfe009060f4e34974f8e7c59b2c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:3HQIBZKK4ET4ODI42S2YL7DETJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-Resolution Image Registration","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Boris N. Oreshkin, Tal Arbel","submitted_at":"2020-10-02T13:43:50Z","abstract_excerpt":"This paper presents an approach to fast image registration through probabilistic pixel sampling. We propose a practical scheme to leverage the benefits of two state-of-the-art pixel sampling approaches: gradient magnitude based pixel sampling and uniformly random sampling. Our framework involves learning the optimal balance between the two sampling schemes off-line during training, based on a small training dataset, using particle swarm optimization. We then test the proposed sampling approach on 3D rigid registration against two state-of-the-art approaches based on the popular, publicly avail"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.02505","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/2010.02505/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":"2026-07-05T01:40:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fh5TYPda9Ddd3Mgh868gP2Cc2lZa/aUxqgTm75EQp17RMKZ3DEeGNa9aX/qlxDvk9GxrOfnmBCEqNx8/BWOqCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T17:44:17.726626Z"},"content_sha256":"2548de77f028ad8a0817006634d645c6a7379fb5ab414da84b4cd4624d21ec64","schema_version":"1.0","event_id":"sha256:2548de77f028ad8a0817006634d645c6a7379fb5ab414da84b4cd4624d21ec64"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3HQIBZKK4ET4ODI42S2YL7DETJ/bundle.json","state_url":"https://pith.science/pith/3HQIBZKK4ET4ODI42S2YL7DETJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3HQIBZKK4ET4ODI42S2YL7DETJ/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":"2026-08-14T17:44:17Z","links":{"resolver":"https://pith.science/pith/3HQIBZKK4ET4ODI42S2YL7DETJ","bundle":"https://pith.science/pith/3HQIBZKK4ET4ODI42S2YL7DETJ/bundle.json","state":"https://pith.science/pith/3HQIBZKK4ET4ODI42S2YL7DETJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3HQIBZKK4ET4ODI42S2YL7DETJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:3HQIBZKK4ET4ODI42S2YL7DETJ","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":"d4c9f04820a7dd6b7d10967200c2a1355cd1477afaa4e473b85724dab0a5d074","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-02T13:43:50Z","title_canon_sha256":"5dac4640e82fee1def47d4aaf3dbe16486c61a3efdcbc9da664052d5c825e9b3"},"schema_version":"1.0","source":{"id":"2010.02505","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.02505","created_at":"2026-07-05T01:40:50Z"},{"alias_kind":"arxiv_version","alias_value":"2010.02505v1","created_at":"2026-07-05T01:40:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.02505","created_at":"2026-07-05T01:40:50Z"},{"alias_kind":"pith_short_12","alias_value":"3HQIBZKK4ET4","created_at":"2026-07-05T01:40:50Z"},{"alias_kind":"pith_short_16","alias_value":"3HQIBZKK4ET4ODI4","created_at":"2026-07-05T01:40:50Z"},{"alias_kind":"pith_short_8","alias_value":"3HQIBZKK","created_at":"2026-07-05T01:40:50Z"}],"graph_snapshots":[{"event_id":"sha256:2548de77f028ad8a0817006634d645c6a7379fb5ab414da84b4cd4624d21ec64","target":"graph","created_at":"2026-07-05T01:40:50Z","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/2010.02505/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents an approach to fast image registration through probabilistic pixel sampling. We propose a practical scheme to leverage the benefits of two state-of-the-art pixel sampling approaches: gradient magnitude based pixel sampling and uniformly random sampling. Our framework involves learning the optimal balance between the two sampling schemes off-line during training, based on a small training dataset, using particle swarm optimization. We then test the proposed sampling approach on 3D rigid registration against two state-of-the-art approaches based on the popular, publicly avail","authors_text":"Boris N. Oreshkin, Tal Arbel","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-02T13:43:50Z","title":"Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-Resolution Image Registration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.02505","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:f83cbc740a63e465114d3ad116db15add570bdfe009060f4e34974f8e7c59b2c","target":"record","created_at":"2026-07-05T01:40:50Z","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":"d4c9f04820a7dd6b7d10967200c2a1355cd1477afaa4e473b85724dab0a5d074","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-02T13:43:50Z","title_canon_sha256":"5dac4640e82fee1def47d4aaf3dbe16486c61a3efdcbc9da664052d5c825e9b3"},"schema_version":"1.0","source":{"id":"2010.02505","kind":"arxiv","version":1}},"canonical_sha256":"d9e080e54ae127c70d1cd4b585fc649a747b28b7c0b16b5c50ada49f35272a3c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d9e080e54ae127c70d1cd4b585fc649a747b28b7c0b16b5c50ada49f35272a3c","first_computed_at":"2026-07-05T01:40:50.707308Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:40:50.707308Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6yGlJeH3kwWXx5uB51cRt5dHcP5S4uTqxE/73pNRptLWFvixTlzOy4cWGNSbGvWPYXh7vRoNqD/B8PoQqA5mAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:40:50.707750Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.02505","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f83cbc740a63e465114d3ad116db15add570bdfe009060f4e34974f8e7c59b2c","sha256:2548de77f028ad8a0817006634d645c6a7379fb5ab414da84b4cd4624d21ec64"],"state_sha256":"26c0ab007bf645e56ab0df1d0d6e036421aa2b2a51a471956fac1dbe49752308"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LnfVI0NbVCd6HCFE69P/ILe/mXxzCfs/KPfVSYExkL/Ms2YOg6Cx5HkCfWDi8D0B3ruPcoDyBBl8VYtQbMFKBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T17:44:17.736573Z","bundle_sha256":"c86762b9bea6eef61fc993e82041d0027d547ee5f00cafdd5e05c3747de3bde2"}}