{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SL6HQ2H4QRTG3L7DWIYDFHCDMS","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":"06545e8f67cb481359010f1820a2ad1a65f307ff8100c93d0ccfd52ce2c5615f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-09-03T10:27:15Z","title_canon_sha256":"33109025a9db18e3774cd37ba0aa9b1c4a7e2fdec287334352fafadb7d4c23ce"},"schema_version":"1.0","source":{"id":"2509.03193","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.03193","created_at":"2026-07-05T12:04:06Z"},{"alias_kind":"arxiv_version","alias_value":"2509.03193v1","created_at":"2026-07-05T12:04:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.03193","created_at":"2026-07-05T12:04:06Z"},{"alias_kind":"pith_short_12","alias_value":"SL6HQ2H4QRTG","created_at":"2026-07-05T12:04:06Z"},{"alias_kind":"pith_short_16","alias_value":"SL6HQ2H4QRTG3L7D","created_at":"2026-07-05T12:04:06Z"},{"alias_kind":"pith_short_8","alias_value":"SL6HQ2H4","created_at":"2026-07-05T12:04:06Z"}],"graph_snapshots":[{"event_id":"sha256:df5dcda7f2e81dabf248056145291339eb34c32114c0390eb4f24964fdc4d3f5","target":"graph","created_at":"2026-07-05T12:04:06Z","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/2509.03193/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Tissue stiffness is related to soft tissue pathologies and can be assessed through palpation or via clinical imaging systems, e.g., ultrasound or magnetic resonance imaging. Typically, the image based approaches are not suitable during interventions, particularly for minimally invasive surgery. To this end, we present a miniaturized fiber scanning endoscope for fast and localized elastography. Moreover, we propose a deep learning based signal processing pipeline to account for the intricate data and the need for real-time estimates. Our elasticity estimation approach is based on imaging comple","authors_text":"Alexander Schlaefer, Gereon H\\\"uttmann, Maximilian Neidhardt, Sarah Latus, Tim Eixmann","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-09-03T10:27:15Z","title":"Deep Learning for High Speed Optical Coherence Elastography with a Fiber Scanning Endoscope"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.03193","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:d47f2d2219938db33c37dfc1f653d95fa2bc52efa80ca017369dfac6e95375f6","target":"record","created_at":"2026-07-05T12:04:06Z","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":"06545e8f67cb481359010f1820a2ad1a65f307ff8100c93d0ccfd52ce2c5615f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-09-03T10:27:15Z","title_canon_sha256":"33109025a9db18e3774cd37ba0aa9b1c4a7e2fdec287334352fafadb7d4c23ce"},"schema_version":"1.0","source":{"id":"2509.03193","kind":"arxiv","version":1}},"canonical_sha256":"92fc7868fc84666dafe3b230329c43649655a5a7bdf1527e98d05142ea05d777","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"92fc7868fc84666dafe3b230329c43649655a5a7bdf1527e98d05142ea05d777","first_computed_at":"2026-07-05T12:04:06.026644Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:04:06.026644Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wKu5Fxo+EuxWVv2I/m7C/zHPzCodQJ8i3x4WbXWw9boGPC+JTLksaHTGDB9ynJ8uE9g0NrhyFv6AxmPcbe9IDw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:04:06.027136Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.03193","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d47f2d2219938db33c37dfc1f653d95fa2bc52efa80ca017369dfac6e95375f6","sha256:df5dcda7f2e81dabf248056145291339eb34c32114c0390eb4f24964fdc4d3f5"],"state_sha256":"04b5b50eb2c5c0554737a47c47d68ad296977bea4170a2551cf6712a924019b7"}