{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:CICJC42F3NZYT5MAKSFB6ZOOAY","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":"518b5541ff60ee7ec7591bc42fd0fb2ce3934832c3b78507cacf58b67d938ad9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-19T20:31:54Z","title_canon_sha256":"cd20acec593894ec9a8e2399b6c0c961ee4e9e799b6129a2433796b7853846b0"},"schema_version":"1.0","source":{"id":"1808.07553","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.07553","created_at":"2026-05-18T00:07:26Z"},{"alias_kind":"arxiv_version","alias_value":"1808.07553v1","created_at":"2026-05-18T00:07:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.07553","created_at":"2026-05-18T00:07:26Z"},{"alias_kind":"pith_short_12","alias_value":"CICJC42F3NZY","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"CICJC42F3NZYT5MA","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"CICJC42F","created_at":"2026-05-18T12:32:16Z"}],"graph_snapshots":[{"event_id":"sha256:c03ba57d337d263ed5a6a89f30a7c111bc343b2557534b9f0e2f5c76baec3bbb","target":"graph","created_at":"2026-05-18T00:07:26Z","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":"In this paper, we propose a predictive regression model for longitudinal images with missing data based on large deformation diffeomorphic metric mapping (LDDMM) and deep neural networks. Instead of directly predicting image scans, our model predicts a vector momentum sequence associated with a baseline image. This momentum sequence parameterizes the original image sequence in the LDDMM framework and lies in the tangent space of the baseline image, which is Euclidean. A recurrent network with long term-short memory (LSTM) units encodes the time-varying changes in the vector-momentum sequence, ","authors_text":"Sharmin Pathan, Yi Hong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-19T20:31:54Z","title":"Predictive Image Regression for Longitudinal Studies with Missing Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.07553","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:a6f26b90658141614ba02cce5cd0e168b77b84517dae6a86c745e999d3789251","target":"record","created_at":"2026-05-18T00:07:26Z","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":"518b5541ff60ee7ec7591bc42fd0fb2ce3934832c3b78507cacf58b67d938ad9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-19T20:31:54Z","title_canon_sha256":"cd20acec593894ec9a8e2399b6c0c961ee4e9e799b6129a2433796b7853846b0"},"schema_version":"1.0","source":{"id":"1808.07553","kind":"arxiv","version":1}},"canonical_sha256":"1204917345db7389f580548a1f65ce06283a4e1452429203a7f4b25dc654679a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1204917345db7389f580548a1f65ce06283a4e1452429203a7f4b25dc654679a","first_computed_at":"2026-05-18T00:07:26.970905Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:07:26.970905Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vB7AUO82/i1hpm+Ljm3jSzwFsXQlI12q+C1Yty8aVR6Inw4xeUSfMpeFcmuO3zEMxbTQSLMlV5yaUVoIrJZRBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:07:26.971553Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.07553","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a6f26b90658141614ba02cce5cd0e168b77b84517dae6a86c745e999d3789251","sha256:c03ba57d337d263ed5a6a89f30a7c111bc343b2557534b9f0e2f5c76baec3bbb"],"state_sha256":"b3b90962b044b4f9955de6547c843c1d8d960e9ed45a7d67e6a5a5a7ae45d5b2"}