{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:TWHLH5EFAKHPZ23E66345Q27PE","short_pith_number":"pith:TWHLH5EF","canonical_record":{"source":{"id":"2505.22028","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-28T06:50:40Z","cross_cats_sorted":[],"title_canon_sha256":"8e6f37975b62316ce9692a32f33e12eb7e5b680efd909bb3af07b359d2cc0b57","abstract_canon_sha256":"2715aad395f3473b4453186503a3cc00194aa4c63bf5a1f48b438fa13681056a"},"schema_version":"1.0"},"canonical_sha256":"9d8eb3f485028efceb64f7b7cec35f7903440360828d3e4c2959d97dffbc923b","source":{"kind":"arxiv","id":"2505.22028","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.22028","created_at":"2026-07-05T11:11:08Z"},{"alias_kind":"arxiv_version","alias_value":"2505.22028v1","created_at":"2026-07-05T11:11:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.22028","created_at":"2026-07-05T11:11:08Z"},{"alias_kind":"pith_short_12","alias_value":"TWHLH5EFAKHP","created_at":"2026-07-05T11:11:08Z"},{"alias_kind":"pith_short_16","alias_value":"TWHLH5EFAKHPZ23E","created_at":"2026-07-05T11:11:08Z"},{"alias_kind":"pith_short_8","alias_value":"TWHLH5EF","created_at":"2026-07-05T11:11:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:TWHLH5EFAKHPZ23E66345Q27PE","target":"record","payload":{"canonical_record":{"source":{"id":"2505.22028","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-28T06:50:40Z","cross_cats_sorted":[],"title_canon_sha256":"8e6f37975b62316ce9692a32f33e12eb7e5b680efd909bb3af07b359d2cc0b57","abstract_canon_sha256":"2715aad395f3473b4453186503a3cc00194aa4c63bf5a1f48b438fa13681056a"},"schema_version":"1.0"},"canonical_sha256":"9d8eb3f485028efceb64f7b7cec35f7903440360828d3e4c2959d97dffbc923b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:11:08.400336Z","signature_b64":"q+P63+6CmB3WsNHhFcfUog/65MJLKeNYb9f4nOAoSSLL9BzOJkWcrxj4Sv+8cNcSDot0wco7REWEjiHqT2OSDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9d8eb3f485028efceb64f7b7cec35f7903440360828d3e4c2959d97dffbc923b","last_reissued_at":"2026-07-05T11:11:08.399831Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:11:08.399831Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.22028","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":"2026-07-05T11:11:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h9u1k/tFgpBzg4DerzaqHPinxEDh33tcy+wanonXSLSq5/RC8sLo1NrsCihNXe7ThplX6u2TDul2hIpadLOvAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T20:03:04.932338Z"},"content_sha256":"2047f8bfcb339fcf76e263faecd771873ec1a34c95378fe1fd8c18f9d9c14451","schema_version":"1.0","event_id":"sha256:2047f8bfcb339fcf76e263faecd771873ec1a34c95378fe1fd8c18f9d9c14451"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:TWHLH5EFAKHPZ23E66345Q27PE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Weakly-Supervised Contrastive Learning for Imprecise Class Labels","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Jun-Jie Wang, Min-Ling Zhang, Tong Wei, Zi-Hao Zhou","submitted_at":"2025-05-28T06:50:40Z","abstract_excerpt":"Contrastive learning has achieved remarkable success in learning effective representations, with supervised contrastive learning often outperforming self-supervised approaches. However, in real-world scenarios, data annotations are often ambiguous or inaccurate, meaning that class labels may not reliably indicate whether two examples belong to the same class. This limitation restricts the applicability of supervised contrastive learning. To address this challenge, we introduce the concept of ``continuous semantic similarity'' to define positive and negative pairs. Instead of directly relying o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.22028","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/2505.22028/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":"2026-07-05T11:11:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PMbh7SJR+RKOBrlKbRspcJUeD4ODmso/xlBXGnhfSXetyaiW5e14ucXFuY+5iDXSkbsUyl4VGMYB+UOGrVNADg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T20:03:04.932831Z"},"content_sha256":"2676d7b092ca2bedd4e588c206c41fe1dc944463f3d00ad6991e43d3d8773108","schema_version":"1.0","event_id":"sha256:2676d7b092ca2bedd4e588c206c41fe1dc944463f3d00ad6991e43d3d8773108"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TWHLH5EFAKHPZ23E66345Q27PE/bundle.json","state_url":"https://pith.science/pith/TWHLH5EFAKHPZ23E66345Q27PE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TWHLH5EFAKHPZ23E66345Q27PE/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":"2026-08-19T20:03:04Z","links":{"resolver":"https://pith.science/pith/TWHLH5EFAKHPZ23E66345Q27PE","bundle":"https://pith.science/pith/TWHLH5EFAKHPZ23E66345Q27PE/bundle.json","state":"https://pith.science/pith/TWHLH5EFAKHPZ23E66345Q27PE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TWHLH5EFAKHPZ23E66345Q27PE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:TWHLH5EFAKHPZ23E66345Q27PE","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":"2715aad395f3473b4453186503a3cc00194aa4c63bf5a1f48b438fa13681056a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-28T06:50:40Z","title_canon_sha256":"8e6f37975b62316ce9692a32f33e12eb7e5b680efd909bb3af07b359d2cc0b57"},"schema_version":"1.0","source":{"id":"2505.22028","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.22028","created_at":"2026-07-05T11:11:08Z"},{"alias_kind":"arxiv_version","alias_value":"2505.22028v1","created_at":"2026-07-05T11:11:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.22028","created_at":"2026-07-05T11:11:08Z"},{"alias_kind":"pith_short_12","alias_value":"TWHLH5EFAKHP","created_at":"2026-07-05T11:11:08Z"},{"alias_kind":"pith_short_16","alias_value":"TWHLH5EFAKHPZ23E","created_at":"2026-07-05T11:11:08Z"},{"alias_kind":"pith_short_8","alias_value":"TWHLH5EF","created_at":"2026-07-05T11:11:08Z"}],"graph_snapshots":[{"event_id":"sha256:2676d7b092ca2bedd4e588c206c41fe1dc944463f3d00ad6991e43d3d8773108","target":"graph","created_at":"2026-07-05T11:11:08Z","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/2505.22028/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Contrastive learning has achieved remarkable success in learning effective representations, with supervised contrastive learning often outperforming self-supervised approaches. However, in real-world scenarios, data annotations are often ambiguous or inaccurate, meaning that class labels may not reliably indicate whether two examples belong to the same class. This limitation restricts the applicability of supervised contrastive learning. To address this challenge, we introduce the concept of ``continuous semantic similarity'' to define positive and negative pairs. Instead of directly relying o","authors_text":"Jun-Jie Wang, Min-Ling Zhang, Tong Wei, Zi-Hao Zhou","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-28T06:50:40Z","title":"Weakly-Supervised Contrastive Learning for Imprecise Class Labels"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.22028","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":"sha256:2047f8bfcb339fcf76e263faecd771873ec1a34c95378fe1fd8c18f9d9c14451","target":"record","created_at":"2026-07-05T11:11:08Z","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":"2715aad395f3473b4453186503a3cc00194aa4c63bf5a1f48b438fa13681056a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-28T06:50:40Z","title_canon_sha256":"8e6f37975b62316ce9692a32f33e12eb7e5b680efd909bb3af07b359d2cc0b57"},"schema_version":"1.0","source":{"id":"2505.22028","kind":"arxiv","version":1}},"canonical_sha256":"9d8eb3f485028efceb64f7b7cec35f7903440360828d3e4c2959d97dffbc923b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9d8eb3f485028efceb64f7b7cec35f7903440360828d3e4c2959d97dffbc923b","first_computed_at":"2026-07-05T11:11:08.399831Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:11:08.399831Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"q+P63+6CmB3WsNHhFcfUog/65MJLKeNYb9f4nOAoSSLL9BzOJkWcrxj4Sv+8cNcSDot0wco7REWEjiHqT2OSDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:11:08.400336Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.22028","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2047f8bfcb339fcf76e263faecd771873ec1a34c95378fe1fd8c18f9d9c14451","sha256:2676d7b092ca2bedd4e588c206c41fe1dc944463f3d00ad6991e43d3d8773108"],"state_sha256":"ace4d3530b14e75c55ac9cd04b4bffa5563d32e03184e5d875740e4a8ac92fab"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fYt9dK5e9yBc5TXQA1PcYed0+AirlPELklhtnswoPefxRon5QO8iw25dZ6GQxqqYc0AZZGvftPGvT/307ZJKDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T20:03:04.936598Z","bundle_sha256":"5e2981a0e9c8dd4ea7d8968f3c3ebde63ddc50c4c34d516d9868d016d9dcd4f0"}}