{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6CEIUHTY33MJVTNHBFG6LB4JO2","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":"e439a955d0ddbfd5a3bc02ed93795edaa720bb8008435972fe3e39832e576727","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-01-25T19:48:45Z","title_canon_sha256":"87c849ec063881052f4b1ea756eba5b7e7dbba3f8084ec31421a35418ee40fec"},"schema_version":"1.0","source":{"id":"2501.15311","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.15311","created_at":"2026-07-05T10:07:29Z"},{"alias_kind":"arxiv_version","alias_value":"2501.15311v2","created_at":"2026-07-05T10:07:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.15311","created_at":"2026-07-05T10:07:29Z"},{"alias_kind":"pith_short_12","alias_value":"6CEIUHTY33MJ","created_at":"2026-07-05T10:07:29Z"},{"alias_kind":"pith_short_16","alias_value":"6CEIUHTY33MJVTNH","created_at":"2026-07-05T10:07:29Z"},{"alias_kind":"pith_short_8","alias_value":"6CEIUHTY","created_at":"2026-07-05T10:07:29Z"}],"graph_snapshots":[{"event_id":"sha256:6e8983c393f6d843838277334fc9119f81693b9aa24a5d33d212e9c4e14e369b","target":"graph","created_at":"2026-07-05T10:07:29Z","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/2501.15311/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep anterior lamellar keratoplasty (DALK) is a highly challenging partial thickness cornea transplant surgery that replaces the anterior cornea above Descemet's membrane (DM) with a donor cornea. In our previous work, we proposed the design of an optical coherence tomography (OCT) sensor integrated needle to acquire real-time M-mode images to provide depth feedback during OCT-guided needle insertion during Big Bubble DALK procedures. Machine learning and deep learning techniques were applied to M-mode images to automatically identify the DM in OCT M-scan data. However, such segmentation metho","authors_text":"Axel Kriger, Bill G. Gensheimer, Hongrui Yi, Jinglun Yu, Jin U. Kang, Justin Opfermann, Yaning Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-01-25T19:48:45Z","title":"Kalman filter/deep-learning hybrid automatic boundary tracking of optical coherence tomography data for deep anterior lamellar keratoplasty (DALK)"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.15311","kind":"arxiv","version":2},"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:ae007c722c4424c437c7fe574e76fb327ba523425a0507ff0b7f52b706769e5a","target":"record","created_at":"2026-07-05T10:07:29Z","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":"e439a955d0ddbfd5a3bc02ed93795edaa720bb8008435972fe3e39832e576727","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-01-25T19:48:45Z","title_canon_sha256":"87c849ec063881052f4b1ea756eba5b7e7dbba3f8084ec31421a35418ee40fec"},"schema_version":"1.0","source":{"id":"2501.15311","kind":"arxiv","version":2}},"canonical_sha256":"f0888a1e78ded89acda7094de587897680b05f061d8d6c96da8b143a00fa7263","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f0888a1e78ded89acda7094de587897680b05f061d8d6c96da8b143a00fa7263","first_computed_at":"2026-07-05T10:07:29.757884Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:07:29.757884Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RCIVT8f+LZA/BnCI+F80jeFtCpS6y8UiWn3E7HwGQTGbl+dpEO7luiZPEAsRQ1Cdm2E2BlUVqE8SVIbf4YJLBg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:07:29.758297Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.15311","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ae007c722c4424c437c7fe574e76fb327ba523425a0507ff0b7f52b706769e5a","sha256:6e8983c393f6d843838277334fc9119f81693b9aa24a5d33d212e9c4e14e369b"],"state_sha256":"aacab357e4c31149ade89ad7a8b12e3a8fdbbaec6e349f073a3a53a80a33071c"}