{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:NBS26EYA6VF5PHK5TFEB2FDVGT","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":"cb434780657454ae1d6bf1cfcb397612f85ff91ea7eb0bf646b61d2fe541e939","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-04T08:59:03Z","title_canon_sha256":"c70ad667c77c33a2abf3b1f50b666eb37ed068934667f1e4d23940b79e88e8b7"},"schema_version":"1.0","source":{"id":"1812.01281","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.01281","created_at":"2026-05-17T23:59:12Z"},{"alias_kind":"arxiv_version","alias_value":"1812.01281v1","created_at":"2026-05-17T23:59:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.01281","created_at":"2026-05-17T23:59:12Z"},{"alias_kind":"pith_short_12","alias_value":"NBS26EYA6VF5","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_16","alias_value":"NBS26EYA6VF5PHK5","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_8","alias_value":"NBS26EYA","created_at":"2026-05-18T12:32:40Z"}],"graph_snapshots":[{"event_id":"sha256:8f2cb319555106b13569e087bfe1df02122160dfed2231dd6ad674bb89ad563d","target":"graph","created_at":"2026-05-17T23:59:12Z","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":"Deep learning algorithms have demonstrated tremendous success on challenging medical imaging problems. However, post-deployment, these algorithms are susceptible to data distribution variations owing to \\emph{limited data issues} and \\emph{diversity} in medical images. In this paper, we propose \\emph{ContextNets}, a generic memory-augmented neural network framework for semantic segmentation to achieve continuous domain adaptation without the necessity of retraining. Unlike existing methods which require access to entire source and target domain images, our algorithm can adapt to a target domai","authors_text":"Hariharan Ravishankar, Rahul Venkataramani, Saihareesh Anamandra","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-04T08:59:03Z","title":"Towards Continuous Domain adaptation for Healthcare"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.01281","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:d51a78dff9408e64486cfd1ed2489462ccc5b7277c63b2060478a00068c5b570","target":"record","created_at":"2026-05-17T23:59:12Z","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":"cb434780657454ae1d6bf1cfcb397612f85ff91ea7eb0bf646b61d2fe541e939","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-04T08:59:03Z","title_canon_sha256":"c70ad667c77c33a2abf3b1f50b666eb37ed068934667f1e4d23940b79e88e8b7"},"schema_version":"1.0","source":{"id":"1812.01281","kind":"arxiv","version":1}},"canonical_sha256":"6865af1300f54bd79d5d99481d147534dc255ba48044ad592812a9e7bc1a408f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6865af1300f54bd79d5d99481d147534dc255ba48044ad592812a9e7bc1a408f","first_computed_at":"2026-05-17T23:59:12.888286Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:59:12.888286Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Pu/43MbIM5MTrZ7eAdoOa02DoCwI16A24vcxXVFmIDUNJYEmIajEcSF0pflZpMWXAkUb1VAF7QLfb1ztdWrMDg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:59:12.888693Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.01281","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d51a78dff9408e64486cfd1ed2489462ccc5b7277c63b2060478a00068c5b570","sha256:8f2cb319555106b13569e087bfe1df02122160dfed2231dd6ad674bb89ad563d"],"state_sha256":"ab5297ee14d66cc47975be224dcdf880942d95077ccce7fbc4ebace6ea3c70e7"}