{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:NRKGSHZXSUXZK7A6TPMZW365OY","short_pith_number":"pith:NRKGSHZX","canonical_record":{"source":{"id":"1805.05487","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-14T22:56:46Z","cross_cats_sorted":[],"title_canon_sha256":"65bf0d24d9aa69e3841aaad68637f3ff2e44c3a67195e5029de83b1011d93282","abstract_canon_sha256":"02144f7e6c1318a06bb6c781d75863f540378dca45438304cabb6a818e4e941e"},"schema_version":"1.0"},"canonical_sha256":"6c54691f37952f957c1e9bd99b6fdd761da8f5b9ed9b1b0163216ebd7272cb27","source":{"kind":"arxiv","id":"1805.05487","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.05487","created_at":"2026-05-18T00:08:48Z"},{"alias_kind":"arxiv_version","alias_value":"1805.05487v3","created_at":"2026-05-18T00:08:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.05487","created_at":"2026-05-18T00:08:48Z"},{"alias_kind":"pith_short_12","alias_value":"NRKGSHZXSUXZ","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_16","alias_value":"NRKGSHZXSUXZK7A6","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_8","alias_value":"NRKGSHZX","created_at":"2026-05-18T12:32:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:NRKGSHZXSUXZK7A6TPMZW365OY","target":"record","payload":{"canonical_record":{"source":{"id":"1805.05487","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-14T22:56:46Z","cross_cats_sorted":[],"title_canon_sha256":"65bf0d24d9aa69e3841aaad68637f3ff2e44c3a67195e5029de83b1011d93282","abstract_canon_sha256":"02144f7e6c1318a06bb6c781d75863f540378dca45438304cabb6a818e4e941e"},"schema_version":"1.0"},"canonical_sha256":"6c54691f37952f957c1e9bd99b6fdd761da8f5b9ed9b1b0163216ebd7272cb27","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:08:48.084499Z","signature_b64":"tYFaIVgLeBH9EUUO8pXo8nLys78bfG0xbli23ivEd8AQ6LODYrebp66KDcXLMrJpUXx25Vf6dclG4qfnn9khBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6c54691f37952f957c1e9bd99b6fdd761da8f5b9ed9b1b0163216ebd7272cb27","last_reissued_at":"2026-05-18T00:08:48.083236Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:08:48.083236Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.05487","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:08:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Pm2RDw54If7W/f12jRZox5Hr7yB96FsTRCwZDijJOniQC/3KCQK2cx3uZrqMQdT6hGCSaIb32DUIIh8VlrteAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T01:26:49.727215Z"},"content_sha256":"969539abed83275a3fa2a4aff8fb43b0e5b5ad30debecc1e57491bd998890959","schema_version":"1.0","event_id":"sha256:969539abed83275a3fa2a4aff8fb43b0e5b5ad30debecc1e57491bd998890959"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:NRKGSHZXSUXZK7A6TPMZW365OY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A CNN for homogneous Riemannian manifolds with applications to Neuroimaging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Baba C. Vemuri, Monami Banerjee, Rudrasis Chakraborty","submitted_at":"2018-05-14T22:56:46Z","abstract_excerpt":"Convolutional neural networks are ubiquitous in Machine Learning applications for solving a variety of problems. They however can not be used in their native form when the domain of the data is commonly encountered manifolds such as the sphere, the special orthogonal group, the Grassmanian, the manifold of symmetric positive definite matrices and others. Most recently, generalization of CNNs to data domains such as the 2-sphere has been reported by some research groups, which is referred to as the spherical CNNs (SCNNs). The key property of SCNNs distinct from CNNs is that they exhibit the rot"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.05487","kind":"arxiv","version":3},"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":"2026-05-18T00:08:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nWSv+WzG4echglvs95yonhKUI787L2CV+xRtQKgIm4VHLathpuGNzwKhu57nim58EjdCy7yO+M/vDO3ZQC8HDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T01:26:49.727598Z"},"content_sha256":"d52c4888340603700298a8f03516446c8f93c3945a8ca534cd681d1578f5ed4c","schema_version":"1.0","event_id":"sha256:d52c4888340603700298a8f03516446c8f93c3945a8ca534cd681d1578f5ed4c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NRKGSHZXSUXZK7A6TPMZW365OY/bundle.json","state_url":"https://pith.science/pith/NRKGSHZXSUXZK7A6TPMZW365OY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NRKGSHZXSUXZK7A6TPMZW365OY/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":"2026-05-28T01:26:49Z","links":{"resolver":"https://pith.science/pith/NRKGSHZXSUXZK7A6TPMZW365OY","bundle":"https://pith.science/pith/NRKGSHZXSUXZK7A6TPMZW365OY/bundle.json","state":"https://pith.science/pith/NRKGSHZXSUXZK7A6TPMZW365OY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NRKGSHZXSUXZK7A6TPMZW365OY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:NRKGSHZXSUXZK7A6TPMZW365OY","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":"02144f7e6c1318a06bb6c781d75863f540378dca45438304cabb6a818e4e941e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-14T22:56:46Z","title_canon_sha256":"65bf0d24d9aa69e3841aaad68637f3ff2e44c3a67195e5029de83b1011d93282"},"schema_version":"1.0","source":{"id":"1805.05487","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.05487","created_at":"2026-05-18T00:08:48Z"},{"alias_kind":"arxiv_version","alias_value":"1805.05487v3","created_at":"2026-05-18T00:08:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.05487","created_at":"2026-05-18T00:08:48Z"},{"alias_kind":"pith_short_12","alias_value":"NRKGSHZXSUXZ","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_16","alias_value":"NRKGSHZXSUXZK7A6","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_8","alias_value":"NRKGSHZX","created_at":"2026-05-18T12:32:40Z"}],"graph_snapshots":[{"event_id":"sha256:d52c4888340603700298a8f03516446c8f93c3945a8ca534cd681d1578f5ed4c","target":"graph","created_at":"2026-05-18T00:08:48Z","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":"Convolutional neural networks are ubiquitous in Machine Learning applications for solving a variety of problems. They however can not be used in their native form when the domain of the data is commonly encountered manifolds such as the sphere, the special orthogonal group, the Grassmanian, the manifold of symmetric positive definite matrices and others. Most recently, generalization of CNNs to data domains such as the 2-sphere has been reported by some research groups, which is referred to as the spherical CNNs (SCNNs). The key property of SCNNs distinct from CNNs is that they exhibit the rot","authors_text":"Baba C. Vemuri, Monami Banerjee, Rudrasis Chakraborty","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-14T22:56:46Z","title":"A CNN for homogneous Riemannian manifolds with applications to Neuroimaging"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.05487","kind":"arxiv","version":3},"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":"sha256:969539abed83275a3fa2a4aff8fb43b0e5b5ad30debecc1e57491bd998890959","target":"record","created_at":"2026-05-18T00:08:48Z","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":"02144f7e6c1318a06bb6c781d75863f540378dca45438304cabb6a818e4e941e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-14T22:56:46Z","title_canon_sha256":"65bf0d24d9aa69e3841aaad68637f3ff2e44c3a67195e5029de83b1011d93282"},"schema_version":"1.0","source":{"id":"1805.05487","kind":"arxiv","version":3}},"canonical_sha256":"6c54691f37952f957c1e9bd99b6fdd761da8f5b9ed9b1b0163216ebd7272cb27","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6c54691f37952f957c1e9bd99b6fdd761da8f5b9ed9b1b0163216ebd7272cb27","first_computed_at":"2026-05-18T00:08:48.083236Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:08:48.083236Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tYFaIVgLeBH9EUUO8pXo8nLys78bfG0xbli23ivEd8AQ6LODYrebp66KDcXLMrJpUXx25Vf6dclG4qfnn9khBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:08:48.084499Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.05487","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:969539abed83275a3fa2a4aff8fb43b0e5b5ad30debecc1e57491bd998890959","sha256:d52c4888340603700298a8f03516446c8f93c3945a8ca534cd681d1578f5ed4c"],"state_sha256":"844c9040ed5ffe9a04fef65dea0648f1da3103db02da7b3c454edfc1c5ea728c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z5yz+Akaatrmu0am6WpXKYmOYQYy7Jh5VpepjKHoIK1nx7bTKeXBux1sp99QdgIG0Q15u1B2RC3L5SKDQfZfAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T01:26:49.729634Z","bundle_sha256":"5a6734c2a72b7bd3337c3298ef5d31871b468c643afd8bc342dc7bc9f99647f9"}}