{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:POYE6DCDLOOSUKSMTTB5WYYC27","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":"6834a3a9720fcd660bf54ee8cd4d8f3d8981b3bd56a40ff665ff0e8fdc712c21","cross_cats_sorted":["cs.CE","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-10T13:28:46Z","title_canon_sha256":"ba164bd7405b2cbc1e7d5e9c70b709debd790966955f4a4a8c8a0bd2c46e312b"},"schema_version":"1.0","source":{"id":"2309.07909","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.07909","created_at":"2026-07-05T08:23:12Z"},{"alias_kind":"arxiv_version","alias_value":"2309.07909v2","created_at":"2026-07-05T08:23:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.07909","created_at":"2026-07-05T08:23:12Z"},{"alias_kind":"pith_short_12","alias_value":"POYE6DCDLOOS","created_at":"2026-07-05T08:23:12Z"},{"alias_kind":"pith_short_16","alias_value":"POYE6DCDLOOSUKSM","created_at":"2026-07-05T08:23:12Z"},{"alias_kind":"pith_short_8","alias_value":"POYE6DCD","created_at":"2026-07-05T08:23:12Z"}],"graph_snapshots":[{"event_id":"sha256:11b1bbe042a4310e30465ce858ac07d52ef0919f0ffcb35f4325a7ed7f275980","target":"graph","created_at":"2026-07-05T08:23:12Z","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/2309.07909/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Unsupervised Contrastive learning has gained prominence in fields such as vision, and biology, leveraging predefined positive/negative samples for representation learning. Data augmentation, categorized into hand-designed and model-based methods, has been identified as a crucial component for enhancing contrastive learning. However, hand-designed methods require human expertise in domain-specific data while sometimes distorting the meaning of the data. In contrast, generative model-based approaches usually require supervised or large-scale external data, which has become a bottleneck constrain","authors_text":"Fan Wang, Hao Luo, Kai Wang, Panpan Zhang, Stan.Z Li, Yang You, Zelin Zang","cross_cats":["cs.CE","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-10T13:28:46Z","title":"DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.07909","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":"sha256:580874016efeb0358d4a1f9598fe4e9265efc6098d04718da7a60b89e9506dda","target":"record","created_at":"2026-07-05T08:23:12Z","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":"6834a3a9720fcd660bf54ee8cd4d8f3d8981b3bd56a40ff665ff0e8fdc712c21","cross_cats_sorted":["cs.CE","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-10T13:28:46Z","title_canon_sha256":"ba164bd7405b2cbc1e7d5e9c70b709debd790966955f4a4a8c8a0bd2c46e312b"},"schema_version":"1.0","source":{"id":"2309.07909","kind":"arxiv","version":2}},"canonical_sha256":"7bb04f0c435b9d2a2a4c9cc3db6302d7d5bb93e4073084a128ac917d7c1d6aa2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7bb04f0c435b9d2a2a4c9cc3db6302d7d5bb93e4073084a128ac917d7c1d6aa2","first_computed_at":"2026-07-05T08:23:12.063654Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:23:12.063654Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rloAC7jPgrMQe6X/uVxWVmUp/JoyLYX/UrwAN7gW3OtTbX83nrTpokW3N2hP6ftwBvjhy02MZz25zE96CghbBw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:23:12.064124Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.07909","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:580874016efeb0358d4a1f9598fe4e9265efc6098d04718da7a60b89e9506dda","sha256:11b1bbe042a4310e30465ce858ac07d52ef0919f0ffcb35f4325a7ed7f275980"],"state_sha256":"12743d0ab44770847ff25f34dab8c05b309cc5dd56327c6366b7dba706125c3e"}