{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:XV2TGA4BBLZAMLUP4HJYOZJNGN","short_pith_number":"pith:XV2TGA4B","canonical_record":{"source":{"id":"2305.08826","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-15T17:34:49Z","cross_cats_sorted":[],"title_canon_sha256":"00336da9633b4e3ab134631ed9589b277d0d26bb21d5b0cb284dbd8ba18aaa96","abstract_canon_sha256":"a7f34fb2a1c09e2849d1e31f7124ca346e055231716f4e812dd0174a12d5131f"},"schema_version":"1.0"},"canonical_sha256":"bd753303810af2062e8fe1d387652d3377b7c93f0eff9524e6ecc6c3ff7aaeac","source":{"kind":"arxiv","id":"2305.08826","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.08826","created_at":"2026-07-05T06:10:06Z"},{"alias_kind":"arxiv_version","alias_value":"2305.08826v1","created_at":"2026-07-05T06:10:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.08826","created_at":"2026-07-05T06:10:06Z"},{"alias_kind":"pith_short_12","alias_value":"XV2TGA4BBLZA","created_at":"2026-07-05T06:10:06Z"},{"alias_kind":"pith_short_16","alias_value":"XV2TGA4BBLZAMLUP","created_at":"2026-07-05T06:10:06Z"},{"alias_kind":"pith_short_8","alias_value":"XV2TGA4B","created_at":"2026-07-05T06:10:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:XV2TGA4BBLZAMLUP4HJYOZJNGN","target":"record","payload":{"canonical_record":{"source":{"id":"2305.08826","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-15T17:34:49Z","cross_cats_sorted":[],"title_canon_sha256":"00336da9633b4e3ab134631ed9589b277d0d26bb21d5b0cb284dbd8ba18aaa96","abstract_canon_sha256":"a7f34fb2a1c09e2849d1e31f7124ca346e055231716f4e812dd0174a12d5131f"},"schema_version":"1.0"},"canonical_sha256":"bd753303810af2062e8fe1d387652d3377b7c93f0eff9524e6ecc6c3ff7aaeac","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:10:06.882054Z","signature_b64":"hPuwBJq+UY67sSyPUTO9LsrHbvtYje954fUpkakWK15CODWnUHU++3N4pMZITGGJ3b4o0yzYVWUXJr4cPRhRCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bd753303810af2062e8fe1d387652d3377b7c93f0eff9524e6ecc6c3ff7aaeac","last_reissued_at":"2026-07-05T06:10:06.881636Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:10:06.881636Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.08826","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:10:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4+0pk1zHUv4JrxCumFtpq/9OZLwI1dCTQJplMGMl8ErHHI0O1ogYPbCKp/byDKXPtUOtvSlBswfMFykkeVR7DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T23:13:30.975892Z"},"content_sha256":"7b05d58bf75e2752ca4d6df31c25b420523c5e1626db2d496bddba565be5870b","schema_version":"1.0","event_id":"sha256:7b05d58bf75e2752ca4d6df31c25b420523c5e1626db2d496bddba565be5870b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:XV2TGA4BBLZAMLUP4HJYOZJNGN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Better Contrastive View from Radiologist's Gaze","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chong Ma, Dinggang Shen, Lichi Zhang, Qian Wang, Sheng Wang, Tianming Liu, Xi Ouyang, Zheren Li, Zixu Zhuang","submitted_at":"2023-05-15T17:34:49Z","abstract_excerpt":"Recent self-supervised contrastive learning methods greatly benefit from the Siamese structure that aims to minimizing distances between positive pairs. These methods usually apply random data augmentation to input images, expecting the augmented views of the same images to be similar and positively paired. However, random augmentation may overlook image semantic information and degrade the quality of augmented views in contrastive learning. This issue becomes more challenging in medical images since the abnormalities related to diseases can be tiny, and are easy to be corrupted (e.g., being c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.08826","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/2305.08826/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:10:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CuyHs0qIpO5wjUhXT6KR2ZYOw036Khu57iq7ah7yq387slQVoviz7O9fHKgu/oWKwcBJDkAIeHOxZSQPaMlkBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T23:13:30.976404Z"},"content_sha256":"58ef053995b522361b6690bb80605b5c9486793ab2517b20a55b599d29e90cf9","schema_version":"1.0","event_id":"sha256:58ef053995b522361b6690bb80605b5c9486793ab2517b20a55b599d29e90cf9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XV2TGA4BBLZAMLUP4HJYOZJNGN/bundle.json","state_url":"https://pith.science/pith/XV2TGA4BBLZAMLUP4HJYOZJNGN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XV2TGA4BBLZAMLUP4HJYOZJNGN/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":"2026-08-21T23:13:30Z","links":{"resolver":"https://pith.science/pith/XV2TGA4BBLZAMLUP4HJYOZJNGN","bundle":"https://pith.science/pith/XV2TGA4BBLZAMLUP4HJYOZJNGN/bundle.json","state":"https://pith.science/pith/XV2TGA4BBLZAMLUP4HJYOZJNGN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XV2TGA4BBLZAMLUP4HJYOZJNGN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:XV2TGA4BBLZAMLUP4HJYOZJNGN","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":"a7f34fb2a1c09e2849d1e31f7124ca346e055231716f4e812dd0174a12d5131f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-15T17:34:49Z","title_canon_sha256":"00336da9633b4e3ab134631ed9589b277d0d26bb21d5b0cb284dbd8ba18aaa96"},"schema_version":"1.0","source":{"id":"2305.08826","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.08826","created_at":"2026-07-05T06:10:06Z"},{"alias_kind":"arxiv_version","alias_value":"2305.08826v1","created_at":"2026-07-05T06:10:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.08826","created_at":"2026-07-05T06:10:06Z"},{"alias_kind":"pith_short_12","alias_value":"XV2TGA4BBLZA","created_at":"2026-07-05T06:10:06Z"},{"alias_kind":"pith_short_16","alias_value":"XV2TGA4BBLZAMLUP","created_at":"2026-07-05T06:10:06Z"},{"alias_kind":"pith_short_8","alias_value":"XV2TGA4B","created_at":"2026-07-05T06:10:06Z"}],"graph_snapshots":[{"event_id":"sha256:58ef053995b522361b6690bb80605b5c9486793ab2517b20a55b599d29e90cf9","target":"graph","created_at":"2026-07-05T06:10:06Z","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/2305.08826/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent self-supervised contrastive learning methods greatly benefit from the Siamese structure that aims to minimizing distances between positive pairs. These methods usually apply random data augmentation to input images, expecting the augmented views of the same images to be similar and positively paired. However, random augmentation may overlook image semantic information and degrade the quality of augmented views in contrastive learning. This issue becomes more challenging in medical images since the abnormalities related to diseases can be tiny, and are easy to be corrupted (e.g., being c","authors_text":"Chong Ma, Dinggang Shen, Lichi Zhang, Qian Wang, Sheng Wang, Tianming Liu, Xi Ouyang, Zheren Li, Zixu Zhuang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-15T17:34:49Z","title":"Learning Better Contrastive View from Radiologist's Gaze"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.08826","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":"sha256:7b05d58bf75e2752ca4d6df31c25b420523c5e1626db2d496bddba565be5870b","target":"record","created_at":"2026-07-05T06:10:06Z","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":"a7f34fb2a1c09e2849d1e31f7124ca346e055231716f4e812dd0174a12d5131f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-15T17:34:49Z","title_canon_sha256":"00336da9633b4e3ab134631ed9589b277d0d26bb21d5b0cb284dbd8ba18aaa96"},"schema_version":"1.0","source":{"id":"2305.08826","kind":"arxiv","version":1}},"canonical_sha256":"bd753303810af2062e8fe1d387652d3377b7c93f0eff9524e6ecc6c3ff7aaeac","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bd753303810af2062e8fe1d387652d3377b7c93f0eff9524e6ecc6c3ff7aaeac","first_computed_at":"2026-07-05T06:10:06.881636Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:10:06.881636Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hPuwBJq+UY67sSyPUTO9LsrHbvtYje954fUpkakWK15CODWnUHU++3N4pMZITGGJ3b4o0yzYVWUXJr4cPRhRCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:10:06.882054Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.08826","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7b05d58bf75e2752ca4d6df31c25b420523c5e1626db2d496bddba565be5870b","sha256:58ef053995b522361b6690bb80605b5c9486793ab2517b20a55b599d29e90cf9"],"state_sha256":"48cc7f1036b5657c376f7f7a864b0c5377cafec32b760801fc7d1cf9ff8a9f71"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QuZGgP93ro/ja1cqGRl3fO+xskDDIqJKNUougvAVQR3Inrgx/xFk/bMYwvXfoFUyGqhzFO9Nj4qOKfxVxvjIBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T23:13:30.982379Z","bundle_sha256":"10f9e4a81e925a769adfab9c8f249d73aaa4fe5c8fc80903089a4189947a1084"}}