{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:VBUSKU2KOQ4W6IP5AUWQJH3WIV","short_pith_number":"pith:VBUSKU2K","canonical_record":{"source":{"id":"1811.08164","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-20T10:20:39Z","cross_cats_sorted":[],"title_canon_sha256":"e959e081ca03537ce8664dafc5f8951dca01cc5d5f0d21ff1f5855dc45e80b9f","abstract_canon_sha256":"d2aa0ddc9c621d50dc4dfb09fb91e162ff5818ae3cb39ba3a30460df598b9d85"},"schema_version":"1.0"},"canonical_sha256":"a86925534a74396f21fd052d049f76455ac8875996ea27308a5ec285e415cbc6","source":{"kind":"arxiv","id":"1811.08164","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.08164","created_at":"2026-05-17T23:47:02Z"},{"alias_kind":"arxiv_version","alias_value":"1811.08164v3","created_at":"2026-05-17T23:47:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.08164","created_at":"2026-05-17T23:47:02Z"},{"alias_kind":"pith_short_12","alias_value":"VBUSKU2KOQ4W","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_16","alias_value":"VBUSKU2KOQ4W6IP5","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_8","alias_value":"VBUSKU2K","created_at":"2026-05-18T12:32:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:VBUSKU2KOQ4W6IP5AUWQJH3WIV","target":"record","payload":{"canonical_record":{"source":{"id":"1811.08164","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-20T10:20:39Z","cross_cats_sorted":[],"title_canon_sha256":"e959e081ca03537ce8664dafc5f8951dca01cc5d5f0d21ff1f5855dc45e80b9f","abstract_canon_sha256":"d2aa0ddc9c621d50dc4dfb09fb91e162ff5818ae3cb39ba3a30460df598b9d85"},"schema_version":"1.0"},"canonical_sha256":"a86925534a74396f21fd052d049f76455ac8875996ea27308a5ec285e415cbc6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:47:02.499170Z","signature_b64":"FjdDN3mzoZyAw5rwVgYiR1ZjBz4OL+dr9hU9CcsrADdeRMWwxQADDgnn92nS8Kb2xvYqv95FKiEuPUCJJs1pCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a86925534a74396f21fd052d049f76455ac8875996ea27308a5ec285e415cbc6","last_reissued_at":"2026-05-17T23:47:02.498525Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:47:02.498525Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1811.08164","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:47:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"whL4AFPsg+H6pmMAojqqH7xGPSmXc7kqkRVtvZyb96qgZ53NGZrMXVziD83nEi+n5pwE+RrmIowFiW7tGyP3AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T23:33:18.272474Z"},"content_sha256":"1153a17c0daade1e7201aecd4462b5d14e9b2b6ff62b3f10fe79b6f5df95652b","schema_version":"1.0","event_id":"sha256:1153a17c0daade1e7201aecd4462b5d14e9b2b6ff62b3f10fe79b6f5df95652b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:VBUSKU2KOQ4W6IP5AUWQJH3WIV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alberto Gomez, Benjamin Hou, Bernhard Kainz, Daniel Rueckert, Jacqueline Matthew, James Housden, Jo Schlemper, Julia Schnabel, Martin Rajchl, Matthew Sinclair, Nicolas Toussaint, Ozan Oktay, Qingjie Meng, Veronika Zimmer","submitted_at":"2018-11-20T10:20:39Z","abstract_excerpt":"Detecting acoustic shadows in ultrasound images is important in many clinical and engineering applications. Real-time feedback of acoustic shadows can guide sonographers to a standardized diagnostic viewing plane with minimal artifacts and can provide additional information for other automatic image analysis algorithms. However, automatically detecting shadow regions using learning-based algorithms is challenging because pixel-wise ground truth annotation of acoustic shadows is subjective and time consuming. In this paper we propose a weakly supervised method for automatic confidence estimatio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.08164","kind":"arxiv","version":3},"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":"2026-05-17T23:47:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Qc+gpFBY3yIH1mGBTzVM4mbYlADFrwkrSWRy+eJUK64kWbhoS/aEL8MgMaRCXQLyL+Kg3AYxbU8c4kIKuF4VAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T23:33:18.273148Z"},"content_sha256":"d29ec0f5626dbacf8ee1a239fce600a0244c3deb38be8922f278a6eed189c569","schema_version":"1.0","event_id":"sha256:d29ec0f5626dbacf8ee1a239fce600a0244c3deb38be8922f278a6eed189c569"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VBUSKU2KOQ4W6IP5AUWQJH3WIV/bundle.json","state_url":"https://pith.science/pith/VBUSKU2KOQ4W6IP5AUWQJH3WIV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VBUSKU2KOQ4W6IP5AUWQJH3WIV/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":"2026-05-25T23:33:18Z","links":{"resolver":"https://pith.science/pith/VBUSKU2KOQ4W6IP5AUWQJH3WIV","bundle":"https://pith.science/pith/VBUSKU2KOQ4W6IP5AUWQJH3WIV/bundle.json","state":"https://pith.science/pith/VBUSKU2KOQ4W6IP5AUWQJH3WIV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VBUSKU2KOQ4W6IP5AUWQJH3WIV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:VBUSKU2KOQ4W6IP5AUWQJH3WIV","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":"d2aa0ddc9c621d50dc4dfb09fb91e162ff5818ae3cb39ba3a30460df598b9d85","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-20T10:20:39Z","title_canon_sha256":"e959e081ca03537ce8664dafc5f8951dca01cc5d5f0d21ff1f5855dc45e80b9f"},"schema_version":"1.0","source":{"id":"1811.08164","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.08164","created_at":"2026-05-17T23:47:02Z"},{"alias_kind":"arxiv_version","alias_value":"1811.08164v3","created_at":"2026-05-17T23:47:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.08164","created_at":"2026-05-17T23:47:02Z"},{"alias_kind":"pith_short_12","alias_value":"VBUSKU2KOQ4W","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_16","alias_value":"VBUSKU2KOQ4W6IP5","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_8","alias_value":"VBUSKU2K","created_at":"2026-05-18T12:32:59Z"}],"graph_snapshots":[{"event_id":"sha256:d29ec0f5626dbacf8ee1a239fce600a0244c3deb38be8922f278a6eed189c569","target":"graph","created_at":"2026-05-17T23:47:02Z","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":"Detecting acoustic shadows in ultrasound images is important in many clinical and engineering applications. Real-time feedback of acoustic shadows can guide sonographers to a standardized diagnostic viewing plane with minimal artifacts and can provide additional information for other automatic image analysis algorithms. However, automatically detecting shadow regions using learning-based algorithms is challenging because pixel-wise ground truth annotation of acoustic shadows is subjective and time consuming. In this paper we propose a weakly supervised method for automatic confidence estimatio","authors_text":"Alberto Gomez, Benjamin Hou, Bernhard Kainz, Daniel Rueckert, Jacqueline Matthew, James Housden, Jo Schlemper, Julia Schnabel, Martin Rajchl, Matthew Sinclair, Nicolas Toussaint, Ozan Oktay, Qingjie Meng, Veronika Zimmer","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-20T10:20:39Z","title":"Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.08164","kind":"arxiv","version":3},"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":"sha256:1153a17c0daade1e7201aecd4462b5d14e9b2b6ff62b3f10fe79b6f5df95652b","target":"record","created_at":"2026-05-17T23:47:02Z","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":"d2aa0ddc9c621d50dc4dfb09fb91e162ff5818ae3cb39ba3a30460df598b9d85","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-20T10:20:39Z","title_canon_sha256":"e959e081ca03537ce8664dafc5f8951dca01cc5d5f0d21ff1f5855dc45e80b9f"},"schema_version":"1.0","source":{"id":"1811.08164","kind":"arxiv","version":3}},"canonical_sha256":"a86925534a74396f21fd052d049f76455ac8875996ea27308a5ec285e415cbc6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a86925534a74396f21fd052d049f76455ac8875996ea27308a5ec285e415cbc6","first_computed_at":"2026-05-17T23:47:02.498525Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:47:02.498525Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FjdDN3mzoZyAw5rwVgYiR1ZjBz4OL+dr9hU9CcsrADdeRMWwxQADDgnn92nS8Kb2xvYqv95FKiEuPUCJJs1pCA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:47:02.499170Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.08164","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1153a17c0daade1e7201aecd4462b5d14e9b2b6ff62b3f10fe79b6f5df95652b","sha256:d29ec0f5626dbacf8ee1a239fce600a0244c3deb38be8922f278a6eed189c569"],"state_sha256":"b51212efbc4e770d77b63ee946452a394897ad2c6e6193a5683e21cfddf53d77"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EXe+0zGTrxJ4iL+V+p3KIO+RDYFdIWn0VS6TDaGPxMjEd548dL2uvQ28ioQhuoy3h+bR3ODB/c292r0Lj63eCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T23:33:18.278275Z","bundle_sha256":"6a541c95e7a0564f618ca142a5a6e981dff8ddf55b0d56c9c33d056bbf4ce3c2"}}