{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:WCLTLGMRWG5HDSKTEUVBHJ2LV4","short_pith_number":"pith:WCLTLGMR","canonical_record":{"source":{"id":"1810.10039","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-23T18:36:35Z","cross_cats_sorted":[],"title_canon_sha256":"13e255a776371644f826ecb875550432f22a8070d8e22f580fe10eb343ae8933","abstract_canon_sha256":"a9b2c9b3a3e4a18d3c4bbb0c0133338cd73e8ca37d060be5f3367ba021740203"},"schema_version":"1.0"},"canonical_sha256":"b097359991b1ba71c953252a13a74baf246af899e5ee3b36e864754b1d0563ae","source":{"kind":"arxiv","id":"1810.10039","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.10039","created_at":"2026-05-17T23:42:02Z"},{"alias_kind":"arxiv_version","alias_value":"1810.10039v4","created_at":"2026-05-17T23:42:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.10039","created_at":"2026-05-17T23:42:02Z"},{"alias_kind":"pith_short_12","alias_value":"WCLTLGMRWG5H","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_16","alias_value":"WCLTLGMRWG5HDSKT","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_8","alias_value":"WCLTLGMR","created_at":"2026-05-18T12:32:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:WCLTLGMRWG5HDSKTEUVBHJ2LV4","target":"record","payload":{"canonical_record":{"source":{"id":"1810.10039","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-23T18:36:35Z","cross_cats_sorted":[],"title_canon_sha256":"13e255a776371644f826ecb875550432f22a8070d8e22f580fe10eb343ae8933","abstract_canon_sha256":"a9b2c9b3a3e4a18d3c4bbb0c0133338cd73e8ca37d060be5f3367ba021740203"},"schema_version":"1.0"},"canonical_sha256":"b097359991b1ba71c953252a13a74baf246af899e5ee3b36e864754b1d0563ae","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:02.924638Z","signature_b64":"nvRAVeu7oMI1zKF4216RzyPMI3wupVCmojlanJh2E3TQFCAyxehg2IWyoBnrykD2kCDIiDfnaFSehNtlD1ahDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b097359991b1ba71c953252a13a74baf246af899e5ee3b36e864754b1d0563ae","last_reissued_at":"2026-05-17T23:42:02.924131Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:02.924131Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.10039","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:42:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3koXY06t8wk+CanHIbV6GdDrXo/W2iJGebfjlDOzkUWqiHwHLMTBxZBXAstRz2+PuIHcMeWjDYB4+uY+UDG2Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T02:39:50.392962Z"},"content_sha256":"1806b83ff921fc0990bd3802ee73ac00d26a82017f872d3d64cf355b9689aa78","schema_version":"1.0","event_id":"sha256:1806b83ff921fc0990bd3802ee73ac00d26a82017f872d3d64cf355b9689aa78"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:WCLTLGMRWG5HDSKTEUVBHJ2LV4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DeepLSR: a deep learning approach for laser speckle reduction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Faisal Mahmood, Miguel Inserni, Nicholas J. Durr, Taylor L. Bobrow","submitted_at":"2018-10-23T18:36:35Z","abstract_excerpt":"Speckle artifacts degrade image quality in virtually all modalities that utilize coherent energy, including optical coherence tomography, reflectance confocal microscopy, ultrasound, and widefield imaging with laser illumination. We present an adversarial deep learning framework for laser speckle reduction, called DeepLSR (https://durr.jhu.edu/DeepLSR), that transforms images from a source domain of coherent illumination to a target domain of speckle-free, incoherent illumination. We apply this method to widefield images of objects and tissues illuminated with a multi-wavelength laser, using l"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.10039","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:42:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KmatVVD59SMc01zVaeLwlqcKjiUc8sNPU1O9br/Rz9OPkqUiuBznC2POhgpf6eY7rjJyNQF2OEgJwTfS9CGOAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T02:39:50.393630Z"},"content_sha256":"6ef63cabdfe04877fd174b6c6af0fb4fb85f5b64c874ff215cebe0c4ad758023","schema_version":"1.0","event_id":"sha256:6ef63cabdfe04877fd174b6c6af0fb4fb85f5b64c874ff215cebe0c4ad758023"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WCLTLGMRWG5HDSKTEUVBHJ2LV4/bundle.json","state_url":"https://pith.science/pith/WCLTLGMRWG5HDSKTEUVBHJ2LV4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WCLTLGMRWG5HDSKTEUVBHJ2LV4/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-27T02:39:50Z","links":{"resolver":"https://pith.science/pith/WCLTLGMRWG5HDSKTEUVBHJ2LV4","bundle":"https://pith.science/pith/WCLTLGMRWG5HDSKTEUVBHJ2LV4/bundle.json","state":"https://pith.science/pith/WCLTLGMRWG5HDSKTEUVBHJ2LV4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WCLTLGMRWG5HDSKTEUVBHJ2LV4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:WCLTLGMRWG5HDSKTEUVBHJ2LV4","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":"a9b2c9b3a3e4a18d3c4bbb0c0133338cd73e8ca37d060be5f3367ba021740203","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-23T18:36:35Z","title_canon_sha256":"13e255a776371644f826ecb875550432f22a8070d8e22f580fe10eb343ae8933"},"schema_version":"1.0","source":{"id":"1810.10039","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.10039","created_at":"2026-05-17T23:42:02Z"},{"alias_kind":"arxiv_version","alias_value":"1810.10039v4","created_at":"2026-05-17T23:42:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.10039","created_at":"2026-05-17T23:42:02Z"},{"alias_kind":"pith_short_12","alias_value":"WCLTLGMRWG5H","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_16","alias_value":"WCLTLGMRWG5HDSKT","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_8","alias_value":"WCLTLGMR","created_at":"2026-05-18T12:32:59Z"}],"graph_snapshots":[{"event_id":"sha256:6ef63cabdfe04877fd174b6c6af0fb4fb85f5b64c874ff215cebe0c4ad758023","target":"graph","created_at":"2026-05-17T23:42:02Z","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":"Speckle artifacts degrade image quality in virtually all modalities that utilize coherent energy, including optical coherence tomography, reflectance confocal microscopy, ultrasound, and widefield imaging with laser illumination. We present an adversarial deep learning framework for laser speckle reduction, called DeepLSR (https://durr.jhu.edu/DeepLSR), that transforms images from a source domain of coherent illumination to a target domain of speckle-free, incoherent illumination. We apply this method to widefield images of objects and tissues illuminated with a multi-wavelength laser, using l","authors_text":"Faisal Mahmood, Miguel Inserni, Nicholas J. Durr, Taylor L. Bobrow","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-23T18:36:35Z","title":"DeepLSR: a deep learning approach for laser speckle reduction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.10039","kind":"arxiv","version":4},"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":"sha256:1806b83ff921fc0990bd3802ee73ac00d26a82017f872d3d64cf355b9689aa78","target":"record","created_at":"2026-05-17T23:42:02Z","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":"a9b2c9b3a3e4a18d3c4bbb0c0133338cd73e8ca37d060be5f3367ba021740203","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-23T18:36:35Z","title_canon_sha256":"13e255a776371644f826ecb875550432f22a8070d8e22f580fe10eb343ae8933"},"schema_version":"1.0","source":{"id":"1810.10039","kind":"arxiv","version":4}},"canonical_sha256":"b097359991b1ba71c953252a13a74baf246af899e5ee3b36e864754b1d0563ae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b097359991b1ba71c953252a13a74baf246af899e5ee3b36e864754b1d0563ae","first_computed_at":"2026-05-17T23:42:02.924131Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:42:02.924131Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nvRAVeu7oMI1zKF4216RzyPMI3wupVCmojlanJh2E3TQFCAyxehg2IWyoBnrykD2kCDIiDfnaFSehNtlD1ahDQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:42:02.924638Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.10039","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1806b83ff921fc0990bd3802ee73ac00d26a82017f872d3d64cf355b9689aa78","sha256:6ef63cabdfe04877fd174b6c6af0fb4fb85f5b64c874ff215cebe0c4ad758023"],"state_sha256":"6b90fce649c2c372548b6fe826c03f4bea79cc0a97c3d2f30611ed680d650eea"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sP3WmpjztB13TsHItmjjRiK5GYGVSrj7el0u/8Sy5RkbVS6zcXOhTyExlbLZJBxJ4ArEBP8Qm3DsNEqMidMJBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T02:39:50.396840Z","bundle_sha256":"b2a6115f03d711fe1da0ed862b451859d5519c1525808cfc459cce472606a769"}}