{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:4RQTX7F5QYMXIYFVHWC224237R","short_pith_number":"pith:4RQTX7F5","schema_version":"1.0","canonical_sha256":"e4613bfcbd86197460b53d85ad735bfc745a2999fa61db123d360d8190cd5ce0","source":{"kind":"arxiv","id":"2605.28441","version":1},"attestation_state":"computed","paper":{"title":"Bayesian Gated Non-Negative Contrastive Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Jiahao Zhang, Lijie Hu, Peng Cui","submitted_at":"2026-05-27T13:06:05Z","abstract_excerpt":"While Contrastive Learning (CL) has revolutionized self-supervised representation learning, its latent representations remain highly entangled and opaque, limiting their interpretability in safety-critical applications. We identify that a fundamental cause of this entanglement is the reliance on deterministic similarity measures, which treat all feature dimensions equally. In compositional scenes, this creates an Optimization Conflict: common background features, such as, \"blue sky\", are encouraged to align in positive pairs but simultaneously repelled in negative pairs, causing gradient oscil"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2605.28441","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-27T13:06:05Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"fbffd1507f1ebab6cba571c9a4d440757497843f97bfa4b39419a38a7eef4f04","abstract_canon_sha256":"bb08cd3268886e8ded6dbd49819a2f13c287e989a48e072482187ad014f1b8e4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T01:05:18.216528Z","signature_b64":"NZElbwLQJLXp3+PkD8YiceAfOmuI6fQFGe+z4pqr/gXpKpmptc9zzt/ashJuzMbvQvZo2+rcDfK4r8F5W/sCBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e4613bfcbd86197460b53d85ad735bfc745a2999fa61db123d360d8190cd5ce0","last_reissued_at":"2026-05-28T01:05:18.216103Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T01:05:18.216103Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bayesian Gated Non-Negative Contrastive Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Jiahao Zhang, Lijie Hu, Peng Cui","submitted_at":"2026-05-27T13:06:05Z","abstract_excerpt":"While Contrastive Learning (CL) has revolutionized self-supervised representation learning, its latent representations remain highly entangled and opaque, limiting their interpretability in safety-critical applications. We identify that a fundamental cause of this entanglement is the reliance on deterministic similarity measures, which treat all feature dimensions equally. In compositional scenes, this creates an Optimization Conflict: common background features, such as, \"blue sky\", are encouraged to align in positive pairs but simultaneously repelled in negative pairs, causing gradient oscil"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28441","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/2605.28441/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2605.28441","created_at":"2026-05-28T01:05:18.216160+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.28441v1","created_at":"2026-05-28T01:05:18.216160+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28441","created_at":"2026-05-28T01:05:18.216160+00:00"},{"alias_kind":"pith_short_12","alias_value":"4RQTX7F5QYMX","created_at":"2026-05-28T01:05:18.216160+00:00"},{"alias_kind":"pith_short_16","alias_value":"4RQTX7F5QYMXIYFV","created_at":"2026-05-28T01:05:18.216160+00:00"},{"alias_kind":"pith_short_8","alias_value":"4RQTX7F5","created_at":"2026-05-28T01:05:18.216160+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/4RQTX7F5QYMXIYFVHWC224237R","json":"https://pith.science/pith/4RQTX7F5QYMXIYFVHWC224237R.json","graph_json":"https://pith.science/api/pith-number/4RQTX7F5QYMXIYFVHWC224237R/graph.json","events_json":"https://pith.science/api/pith-number/4RQTX7F5QYMXIYFVHWC224237R/events.json","paper":"https://pith.science/paper/4RQTX7F5"},"agent_actions":{"view_html":"https://pith.science/pith/4RQTX7F5QYMXIYFVHWC224237R","download_json":"https://pith.science/pith/4RQTX7F5QYMXIYFVHWC224237R.json","view_paper":"https://pith.science/paper/4RQTX7F5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.28441&json=true","fetch_graph":"https://pith.science/api/pith-number/4RQTX7F5QYMXIYFVHWC224237R/graph.json","fetch_events":"https://pith.science/api/pith-number/4RQTX7F5QYMXIYFVHWC224237R/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4RQTX7F5QYMXIYFVHWC224237R/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4RQTX7F5QYMXIYFVHWC224237R/action/storage_attestation","attest_author":"https://pith.science/pith/4RQTX7F5QYMXIYFVHWC224237R/action/author_attestation","sign_citation":"https://pith.science/pith/4RQTX7F5QYMXIYFVHWC224237R/action/citation_signature","submit_replication":"https://pith.science/pith/4RQTX7F5QYMXIYFVHWC224237R/action/replication_record"}},"created_at":"2026-05-28T01:05:18.216160+00:00","updated_at":"2026-05-28T01:05:18.216160+00:00"}