{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:Y35BD35USFEAR3MLMGIDZZ3P7R","short_pith_number":"pith:Y35BD35U","canonical_record":{"source":{"id":"2310.08421","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-12T15:42:17Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"eeeb984aa1dfb1b264b6e265bb096199d2d8b0612e38425e3992ed6140f070a3","abstract_canon_sha256":"d8fd1e75c468f75527c89ce042b5f231f0f2e0aeaf385332e7ffa36499e55a55"},"schema_version":"1.0"},"canonical_sha256":"c6fa11efb4914808ed8b61903ce76ffc692b943e4dfd311db47b3e2e7b3386bc","source":{"kind":"arxiv","id":"2310.08421","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.08421","created_at":"2026-07-05T09:30:04Z"},{"alias_kind":"arxiv_version","alias_value":"2310.08421v4","created_at":"2026-07-05T09:30:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.08421","created_at":"2026-07-05T09:30:04Z"},{"alias_kind":"pith_short_12","alias_value":"Y35BD35USFEA","created_at":"2026-07-05T09:30:04Z"},{"alias_kind":"pith_short_16","alias_value":"Y35BD35USFEAR3ML","created_at":"2026-07-05T09:30:04Z"},{"alias_kind":"pith_short_8","alias_value":"Y35BD35U","created_at":"2026-07-05T09:30:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:Y35BD35USFEAR3MLMGIDZZ3P7R","target":"record","payload":{"canonical_record":{"source":{"id":"2310.08421","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-12T15:42:17Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"eeeb984aa1dfb1b264b6e265bb096199d2d8b0612e38425e3992ed6140f070a3","abstract_canon_sha256":"d8fd1e75c468f75527c89ce042b5f231f0f2e0aeaf385332e7ffa36499e55a55"},"schema_version":"1.0"},"canonical_sha256":"c6fa11efb4914808ed8b61903ce76ffc692b943e4dfd311db47b3e2e7b3386bc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:30:04.594013Z","signature_b64":"DN9A7kLmZTuXwTi+kmWF4WM/1ORyW5aYUZgV5bhFxIj+dv0Delbb+FTSI+PPf0Ozcx/ytNZuqiyDUa4sbI0CBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c6fa11efb4914808ed8b61903ce76ffc692b943e4dfd311db47b3e2e7b3386bc","last_reissued_at":"2026-07-05T09:30:04.593542Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:30:04.593542Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.08421","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":"2026-07-05T09:30:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7gphu/GyPO1989XSv7Uo+16zY273d4VdiBu/J+ljH40daYAkrb4FfiWFQZdPNdvzBeUhFHqs12P8CKp+iukACA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-14T22:39:07.183363Z"},"content_sha256":"e8d85b85a7ceeae7ffb6f798b1206a7c102a36d1e469af12e9f9996cdd8e4d28","schema_version":"1.0","event_id":"sha256:e8d85b85a7ceeae7ffb6f798b1206a7c102a36d1e469af12e9f9996cdd8e4d28"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:Y35BD35USFEAR3MLMGIDZZ3P7R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Visual Self-supervised Learning Scheme for Dense Prediction Tasks on X-ray Images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Ehsan Nazerfard, Mohammad Rahmati, Shervin Halat","submitted_at":"2023-10-12T15:42:17Z","abstract_excerpt":"Recently, significant advancements in artificial intelligence have been attributed to the integration of self-supervised learning (SSL) scheme. While SSL has shown impressive achievements in natural language processing (NLP), its progress in computer vision has comparatively lagged behind. However, the incorporation of contrastive learning into existing visual SSL models has led to considerable progress, often surpassing supervised counterparts. Nonetheless, these improvements have been mostly limited to classification tasks. Moreover, few studies have evaluated visual SSL models in real-world"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.08421","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2310.08421/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":"2026-07-05T09:30:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pOKSGZem0pPquObBhdWut526AFEAZqKVEBARjTkL5mug4FwTUnebgZEhHwRJPqnt+BPuUmvjeURAhpLDWxOVBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-14T22:39:07.183744Z"},"content_sha256":"f7e06bb67e9473d10123bc23e5974f77589406fbdad26d9eb247d07c76db6640","schema_version":"1.0","event_id":"sha256:f7e06bb67e9473d10123bc23e5974f77589406fbdad26d9eb247d07c76db6640"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Y35BD35USFEAR3MLMGIDZZ3P7R/bundle.json","state_url":"https://pith.science/pith/Y35BD35USFEAR3MLMGIDZZ3P7R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Y35BD35USFEAR3MLMGIDZZ3P7R/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":"2026-07-14T22:39:07Z","links":{"resolver":"https://pith.science/pith/Y35BD35USFEAR3MLMGIDZZ3P7R","bundle":"https://pith.science/pith/Y35BD35USFEAR3MLMGIDZZ3P7R/bundle.json","state":"https://pith.science/pith/Y35BD35USFEAR3MLMGIDZZ3P7R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Y35BD35USFEAR3MLMGIDZZ3P7R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:Y35BD35USFEAR3MLMGIDZZ3P7R","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":"d8fd1e75c468f75527c89ce042b5f231f0f2e0aeaf385332e7ffa36499e55a55","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-12T15:42:17Z","title_canon_sha256":"eeeb984aa1dfb1b264b6e265bb096199d2d8b0612e38425e3992ed6140f070a3"},"schema_version":"1.0","source":{"id":"2310.08421","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.08421","created_at":"2026-07-05T09:30:04Z"},{"alias_kind":"arxiv_version","alias_value":"2310.08421v4","created_at":"2026-07-05T09:30:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.08421","created_at":"2026-07-05T09:30:04Z"},{"alias_kind":"pith_short_12","alias_value":"Y35BD35USFEA","created_at":"2026-07-05T09:30:04Z"},{"alias_kind":"pith_short_16","alias_value":"Y35BD35USFEAR3ML","created_at":"2026-07-05T09:30:04Z"},{"alias_kind":"pith_short_8","alias_value":"Y35BD35U","created_at":"2026-07-05T09:30:04Z"}],"graph_snapshots":[{"event_id":"sha256:f7e06bb67e9473d10123bc23e5974f77589406fbdad26d9eb247d07c76db6640","target":"graph","created_at":"2026-07-05T09:30:04Z","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/2310.08421/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, significant advancements in artificial intelligence have been attributed to the integration of self-supervised learning (SSL) scheme. While SSL has shown impressive achievements in natural language processing (NLP), its progress in computer vision has comparatively lagged behind. However, the incorporation of contrastive learning into existing visual SSL models has led to considerable progress, often surpassing supervised counterparts. Nonetheless, these improvements have been mostly limited to classification tasks. Moreover, few studies have evaluated visual SSL models in real-world","authors_text":"Ehsan Nazerfard, Mohammad Rahmati, Shervin Halat","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-12T15:42:17Z","title":"Visual Self-supervised Learning Scheme for Dense Prediction Tasks on X-ray Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.08421","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:e8d85b85a7ceeae7ffb6f798b1206a7c102a36d1e469af12e9f9996cdd8e4d28","target":"record","created_at":"2026-07-05T09:30:04Z","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":"d8fd1e75c468f75527c89ce042b5f231f0f2e0aeaf385332e7ffa36499e55a55","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-12T15:42:17Z","title_canon_sha256":"eeeb984aa1dfb1b264b6e265bb096199d2d8b0612e38425e3992ed6140f070a3"},"schema_version":"1.0","source":{"id":"2310.08421","kind":"arxiv","version":4}},"canonical_sha256":"c6fa11efb4914808ed8b61903ce76ffc692b943e4dfd311db47b3e2e7b3386bc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c6fa11efb4914808ed8b61903ce76ffc692b943e4dfd311db47b3e2e7b3386bc","first_computed_at":"2026-07-05T09:30:04.593542Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:30:04.593542Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DN9A7kLmZTuXwTi+kmWF4WM/1ORyW5aYUZgV5bhFxIj+dv0Delbb+FTSI+PPf0Ozcx/ytNZuqiyDUa4sbI0CBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:30:04.594013Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.08421","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e8d85b85a7ceeae7ffb6f798b1206a7c102a36d1e469af12e9f9996cdd8e4d28","sha256:f7e06bb67e9473d10123bc23e5974f77589406fbdad26d9eb247d07c76db6640"],"state_sha256":"95cf9cd89468ea1e910314e7f8111b29051097c5bbb968f0767a5a2b00881b94"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KCIJ5vgQDqoTB6C0nRdSV9BdyR0+YOhnSe+jiOsYM4+c0ug0xQhLMW5kE3ILK4GfqCC1wu3aQEXqA0fBbuG0Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-14T22:39:07.185885Z","bundle_sha256":"f0a78c022d88f6f870b8b1dfb312302fa18ee2f72908e963e05c08f11a662ad4"}}