{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:L7KIQXKM3GMQEADCCTLFYXH76A","short_pith_number":"pith:L7KIQXKM","schema_version":"1.0","canonical_sha256":"5fd4885d4cd99902006214d65c5cfff011e57799530bfee5c9b986d06dedecd6","source":{"kind":"arxiv","id":"2606.22648","version":1},"attestation_state":"computed","paper":{"title":"Leveraging target dynamics for imaging in complex media","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.optics","authors_text":"Benzy Laufer, Ilay Tomer, Omri Haim, Ori Katz, Yoav Ben Haim","submitted_at":"2026-06-21T19:31:30Z","abstract_excerpt":"Optical imaging in complex samples such as biological tissues is fundamentally challenging due to random light scattering that degrades resolution and contrast. When imaging realistic targets that contain natural dynamics such as flowing blood, the temporal variability introduces an additional obstacle, as the leading computational scattering-compensation methods require the target to remain stationary during a multi-frame acquisition process. Here we show that instead of struggling to perform rapid acquisitions, the target dynamics themselves can serve as an intrinsic information source for s"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.22648","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.optics","submitted_at":"2026-06-21T19:31:30Z","cross_cats_sorted":[],"title_canon_sha256":"bdc19e3152175f721bf2ec4ccd696902713402daa03a4fa5efbfcef304102163","abstract_canon_sha256":"d7d4b81a25a20891a3c2c55a4c6b84438ba2cf141a23ef3bea7572d115236813"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T02:13:43.940411Z","signature_b64":"jy1vfzucWPAmCgq4CY9/2c7rWpz6gW/ZJKjA+c5oCD2mNRqThQA/RqLKTVZ1UZ9cz7IcJiZoNe+9L0jx1NeCCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5fd4885d4cd99902006214d65c5cfff011e57799530bfee5c9b986d06dedecd6","last_reissued_at":"2026-06-23T02:13:43.940014Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T02:13:43.940014Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Leveraging target dynamics for imaging in complex media","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.optics","authors_text":"Benzy Laufer, Ilay Tomer, Omri Haim, Ori Katz, Yoav Ben Haim","submitted_at":"2026-06-21T19:31:30Z","abstract_excerpt":"Optical imaging in complex samples such as biological tissues is fundamentally challenging due to random light scattering that degrades resolution and contrast. When imaging realistic targets that contain natural dynamics such as flowing blood, the temporal variability introduces an additional obstacle, as the leading computational scattering-compensation methods require the target to remain stationary during a multi-frame acquisition process. Here we show that instead of struggling to perform rapid acquisitions, the target dynamics themselves can serve as an intrinsic information source for s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.22648","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.22648/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.22648","created_at":"2026-06-23T02:13:43.940076+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.22648v1","created_at":"2026-06-23T02:13:43.940076+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.22648","created_at":"2026-06-23T02:13:43.940076+00:00"},{"alias_kind":"pith_short_12","alias_value":"L7KIQXKM3GMQ","created_at":"2026-06-23T02:13:43.940076+00:00"},{"alias_kind":"pith_short_16","alias_value":"L7KIQXKM3GMQEADC","created_at":"2026-06-23T02:13:43.940076+00:00"},{"alias_kind":"pith_short_8","alias_value":"L7KIQXKM","created_at":"2026-06-23T02:13:43.940076+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/L7KIQXKM3GMQEADCCTLFYXH76A","json":"https://pith.science/pith/L7KIQXKM3GMQEADCCTLFYXH76A.json","graph_json":"https://pith.science/api/pith-number/L7KIQXKM3GMQEADCCTLFYXH76A/graph.json","events_json":"https://pith.science/api/pith-number/L7KIQXKM3GMQEADCCTLFYXH76A/events.json","paper":"https://pith.science/paper/L7KIQXKM"},"agent_actions":{"view_html":"https://pith.science/pith/L7KIQXKM3GMQEADCCTLFYXH76A","download_json":"https://pith.science/pith/L7KIQXKM3GMQEADCCTLFYXH76A.json","view_paper":"https://pith.science/paper/L7KIQXKM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.22648&json=true","fetch_graph":"https://pith.science/api/pith-number/L7KIQXKM3GMQEADCCTLFYXH76A/graph.json","fetch_events":"https://pith.science/api/pith-number/L7KIQXKM3GMQEADCCTLFYXH76A/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/L7KIQXKM3GMQEADCCTLFYXH76A/action/timestamp_anchor","attest_storage":"https://pith.science/pith/L7KIQXKM3GMQEADCCTLFYXH76A/action/storage_attestation","attest_author":"https://pith.science/pith/L7KIQXKM3GMQEADCCTLFYXH76A/action/author_attestation","sign_citation":"https://pith.science/pith/L7KIQXKM3GMQEADCCTLFYXH76A/action/citation_signature","submit_replication":"https://pith.science/pith/L7KIQXKM3GMQEADCCTLFYXH76A/action/replication_record"}},"created_at":"2026-06-23T02:13:43.940076+00:00","updated_at":"2026-06-23T02:13:43.940076+00:00"}