{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:W6LPAQ4M3XVMQRXX3Y3EBMSXNS","short_pith_number":"pith:W6LPAQ4M","canonical_record":{"source":{"id":"1712.07881","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-21T11:31:56Z","cross_cats_sorted":[],"title_canon_sha256":"6f0afcc1c3c73ef4627d4285c3e46834d5d33eb37b405c176502c16196716bb2","abstract_canon_sha256":"54ca0f130b0840f9e47f073e8149ad8a873178f3748d4648fd745318a55a3114"},"schema_version":"1.0"},"canonical_sha256":"b796f0438cddeac846f7de3640b2576caf41470649d696eaf94efe8af5399a3c","source":{"kind":"arxiv","id":"1712.07881","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.07881","created_at":"2026-05-18T00:26:23Z"},{"alias_kind":"arxiv_version","alias_value":"1712.07881v2","created_at":"2026-05-18T00:26:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.07881","created_at":"2026-05-18T00:26:23Z"},{"alias_kind":"pith_short_12","alias_value":"W6LPAQ4M3XVM","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"W6LPAQ4M3XVMQRXX","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"W6LPAQ4M","created_at":"2026-05-18T12:31:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:W6LPAQ4M3XVMQRXX3Y3EBMSXNS","target":"record","payload":{"canonical_record":{"source":{"id":"1712.07881","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-21T11:31:56Z","cross_cats_sorted":[],"title_canon_sha256":"6f0afcc1c3c73ef4627d4285c3e46834d5d33eb37b405c176502c16196716bb2","abstract_canon_sha256":"54ca0f130b0840f9e47f073e8149ad8a873178f3748d4648fd745318a55a3114"},"schema_version":"1.0"},"canonical_sha256":"b796f0438cddeac846f7de3640b2576caf41470649d696eaf94efe8af5399a3c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:26:23.236953Z","signature_b64":"QVSEZyaT98XVVysX+Pk+It41IhUi3YTQHYTd05sr79uHkAXKaKeXbGXHdYYlYYAPwdAEJZ9MQ+7/cBRKXc8dAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b796f0438cddeac846f7de3640b2576caf41470649d696eaf94efe8af5399a3c","last_reissued_at":"2026-05-18T00:26:23.236381Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:26:23.236381Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1712.07881","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:26:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mhHU5SNl8RTYX0/txBflWhDtXPrdGOhWfknLgqkEJswHaudkKJKzpzpTve4FyqM2pEVa+1kzi9xKTfPfjr9IAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T21:57:31.572707Z"},"content_sha256":"5579dc1010e79574ae7049ab02dc94ba86a3ec4184c01bb9f8c0dc4727fbffa1","schema_version":"1.0","event_id":"sha256:5579dc1010e79574ae7049ab02dc94ba86a3ec4184c01bb9f8c0dc4727fbffa1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:W6LPAQ4M3XVMQRXX3Y3EBMSXNS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Simulating Patho-realistic Ultrasound Images using Deep Generative Networks with Adversarial Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Debdoot Sheet, Francis Tom","submitted_at":"2017-12-21T11:31:56Z","abstract_excerpt":"Ultrasound imaging makes use of backscattering of waves during their interaction with scatterers present in biological tissues. Simulation of synthetic ultrasound images is a challenging problem on account of inability to accurately model various factors of which some include intra-/inter scanline interference, transducer to surface coupling, artifacts on transducer elements, inhomogeneous shadowing and nonlinear attenuation. Current approaches typically solve wave space equations making them computationally expensive and slow to operate. We propose a generative adversarial network (GAN) inspi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.07881","kind":"arxiv","version":2},"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":"2026-05-18T00:26:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mvWL322zzyO6I9gYOOGqqmRujvDJqigGFXLRyn345DYBcfwgtb7d2FvN9qCAQUQ4lRBU7GrBJBC79RVZdyWsAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T21:57:31.573335Z"},"content_sha256":"e76fdab011bb7ab07e0a17e7499b458e15daffd84e4a8c700f266eed987b6aad","schema_version":"1.0","event_id":"sha256:e76fdab011bb7ab07e0a17e7499b458e15daffd84e4a8c700f266eed987b6aad"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W6LPAQ4M3XVMQRXX3Y3EBMSXNS/bundle.json","state_url":"https://pith.science/pith/W6LPAQ4M3XVMQRXX3Y3EBMSXNS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W6LPAQ4M3XVMQRXX3Y3EBMSXNS/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":"2026-05-26T21:57:31Z","links":{"resolver":"https://pith.science/pith/W6LPAQ4M3XVMQRXX3Y3EBMSXNS","bundle":"https://pith.science/pith/W6LPAQ4M3XVMQRXX3Y3EBMSXNS/bundle.json","state":"https://pith.science/pith/W6LPAQ4M3XVMQRXX3Y3EBMSXNS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W6LPAQ4M3XVMQRXX3Y3EBMSXNS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:W6LPAQ4M3XVMQRXX3Y3EBMSXNS","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":"54ca0f130b0840f9e47f073e8149ad8a873178f3748d4648fd745318a55a3114","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-21T11:31:56Z","title_canon_sha256":"6f0afcc1c3c73ef4627d4285c3e46834d5d33eb37b405c176502c16196716bb2"},"schema_version":"1.0","source":{"id":"1712.07881","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.07881","created_at":"2026-05-18T00:26:23Z"},{"alias_kind":"arxiv_version","alias_value":"1712.07881v2","created_at":"2026-05-18T00:26:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.07881","created_at":"2026-05-18T00:26:23Z"},{"alias_kind":"pith_short_12","alias_value":"W6LPAQ4M3XVM","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"W6LPAQ4M3XVMQRXX","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"W6LPAQ4M","created_at":"2026-05-18T12:31:53Z"}],"graph_snapshots":[{"event_id":"sha256:e76fdab011bb7ab07e0a17e7499b458e15daffd84e4a8c700f266eed987b6aad","target":"graph","created_at":"2026-05-18T00:26:23Z","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":"Ultrasound imaging makes use of backscattering of waves during their interaction with scatterers present in biological tissues. Simulation of synthetic ultrasound images is a challenging problem on account of inability to accurately model various factors of which some include intra-/inter scanline interference, transducer to surface coupling, artifacts on transducer elements, inhomogeneous shadowing and nonlinear attenuation. Current approaches typically solve wave space equations making them computationally expensive and slow to operate. We propose a generative adversarial network (GAN) inspi","authors_text":"Debdoot Sheet, Francis Tom","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-21T11:31:56Z","title":"Simulating Patho-realistic Ultrasound Images using Deep Generative Networks with Adversarial Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.07881","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":"sha256:5579dc1010e79574ae7049ab02dc94ba86a3ec4184c01bb9f8c0dc4727fbffa1","target":"record","created_at":"2026-05-18T00:26:23Z","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":"54ca0f130b0840f9e47f073e8149ad8a873178f3748d4648fd745318a55a3114","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-21T11:31:56Z","title_canon_sha256":"6f0afcc1c3c73ef4627d4285c3e46834d5d33eb37b405c176502c16196716bb2"},"schema_version":"1.0","source":{"id":"1712.07881","kind":"arxiv","version":2}},"canonical_sha256":"b796f0438cddeac846f7de3640b2576caf41470649d696eaf94efe8af5399a3c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b796f0438cddeac846f7de3640b2576caf41470649d696eaf94efe8af5399a3c","first_computed_at":"2026-05-18T00:26:23.236381Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:26:23.236381Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QVSEZyaT98XVVysX+Pk+It41IhUi3YTQHYTd05sr79uHkAXKaKeXbGXHdYYlYYAPwdAEJZ9MQ+7/cBRKXc8dAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:26:23.236953Z","signed_message":"canonical_sha256_bytes"},"source_id":"1712.07881","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5579dc1010e79574ae7049ab02dc94ba86a3ec4184c01bb9f8c0dc4727fbffa1","sha256:e76fdab011bb7ab07e0a17e7499b458e15daffd84e4a8c700f266eed987b6aad"],"state_sha256":"f25ecd22345bf77eedb79db9744487f63358eff01e492c363f644b5d5538ca55"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"id0rHbXkH1QsMhqOuyRnAdnuNfjc0JXBKAg1Brv0N3tACpUMLa8MyN63vtbJc9jAwxNdx98+2EPyoc3jTdEkDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T21:57:31.576812Z","bundle_sha256":"024b41a8b410db54c6241ebdb1f5da37ca44844b6139cad773e8d878af75562a"}}