{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:N3OHUHHPU65QMW2HSNHJBTPAZW","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":"76f2e53598b270d5d448199e23d39a49cf0656a83849f74155463492b72297f0","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-01T09:25:22Z","title_canon_sha256":"359b01ee7c78820024a824dccd8778811dc456cb386ae8edd35a694ddb1cdb67"},"schema_version":"1.0","source":{"id":"2209.00314","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.00314","created_at":"2026-07-05T04:53:48Z"},{"alias_kind":"arxiv_version","alias_value":"2209.00314v1","created_at":"2026-07-05T04:53:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.00314","created_at":"2026-07-05T04:53:48Z"},{"alias_kind":"pith_short_12","alias_value":"N3OHUHHPU65Q","created_at":"2026-07-05T04:53:48Z"},{"alias_kind":"pith_short_16","alias_value":"N3OHUHHPU65QMW2H","created_at":"2026-07-05T04:53:48Z"},{"alias_kind":"pith_short_8","alias_value":"N3OHUHHP","created_at":"2026-07-05T04:53:48Z"}],"graph_snapshots":[{"event_id":"sha256:cf282ee989d1ec4d4511aef9bac202c7b8495a9de6a7e9e7e68cad524b3343c4","target":"graph","created_at":"2026-07-05T04:53:48Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2209.00314/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Supervised machine learning provides state-of-the-art solutions to a wide range of computer vision problems. However, the need for copious labelled training data limits the capabilities of these algorithms in scenarios where such input is scarce or expensive. Self-supervised learning offers a way to lower the need for manually annotated data by pretraining models for a specific domain on unlabelled data. In this approach, labelled data are solely required to fine-tune models for downstream tasks. Medical image segmentation is a field where labelling data requires expert knowledge and collectin","authors_text":"Andr\\'as Kalapos, B\\'alint Gyires-T\\'oth","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-01T09:25:22Z","title":"Self-Supervised Pretraining for 2D Medical Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.00314","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:cc76e0dc2710128eebe2eb36ba2dc6435c928d7a5189c7cae00c42d709871c2f","target":"record","created_at":"2026-07-05T04:53:48Z","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":"76f2e53598b270d5d448199e23d39a49cf0656a83849f74155463492b72297f0","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-01T09:25:22Z","title_canon_sha256":"359b01ee7c78820024a824dccd8778811dc456cb386ae8edd35a694ddb1cdb67"},"schema_version":"1.0","source":{"id":"2209.00314","kind":"arxiv","version":1}},"canonical_sha256":"6edc7a1cefa7bb065b47934e90cde0cd829ff7f2ee122e6c18791293b5ecefb1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6edc7a1cefa7bb065b47934e90cde0cd829ff7f2ee122e6c18791293b5ecefb1","first_computed_at":"2026-07-05T04:53:48.389459Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:53:48.389459Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eFsI4ntPyxBJ4klUuqpIgLdhxZtJNhJgGw2E4PoxA+GUqFFo6lnfeSS0X9pGbMCuPTgUj20p3fsnA6OEdTChDw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:53:48.389815Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.00314","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cc76e0dc2710128eebe2eb36ba2dc6435c928d7a5189c7cae00c42d709871c2f","sha256:cf282ee989d1ec4d4511aef9bac202c7b8495a9de6a7e9e7e68cad524b3343c4"],"state_sha256":"1d893d7b138d1178bb935caf3e3aa4101c0ef1074414613fe12952b7e581c845"}