{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:BHQ27ITSTX2M5A72EKWVHKSRZ4","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":"aabca8e435ca10b3c738ff5ecce5ac6323380d2207dfcf7bed4d4a3c39653a1f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-18T03:26:37Z","title_canon_sha256":"34d08fb207be6a23dd98f00a0d8cfc28b2632463dd80c54f8d0abb43fb62bd40"},"schema_version":"1.0","source":{"id":"2305.10675","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.10675","created_at":"2026-07-05T09:28:08Z"},{"alias_kind":"arxiv_version","alias_value":"2305.10675v2","created_at":"2026-07-05T09:28:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.10675","created_at":"2026-07-05T09:28:08Z"},{"alias_kind":"pith_short_12","alias_value":"BHQ27ITSTX2M","created_at":"2026-07-05T09:28:08Z"},{"alias_kind":"pith_short_16","alias_value":"BHQ27ITSTX2M5A72","created_at":"2026-07-05T09:28:08Z"},{"alias_kind":"pith_short_8","alias_value":"BHQ27ITS","created_at":"2026-07-05T09:28:08Z"}],"graph_snapshots":[{"event_id":"sha256:92c6d535b80379a42d811c51d9f8a1d66a4e828f0d2986cee3bab379b573ff34","target":"graph","created_at":"2026-07-05T09:28:08Z","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/2305.10675/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent times, contrastive learning based loss functions have become increasingly popular for visual self-supervised representation learning owing to their state-of-the-art (SOTA) performance. Most of the modern contrastive learning methods generalize only to one positive and multiple negatives per anchor. A recent state-of-the-art, supervised contrastive (SupCon) loss, extends self-supervised contrastive learning to supervised setting by generalizing to multiple positives and negatives in a batch and improves upon the cross-entropy loss. In this paper, we propose a novel contrastive loss fu","authors_text":"Chaitanya Animesh, Manmohan Chandraker","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-18T03:26:37Z","title":"Tuned Contrastive Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.10675","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:f6f844577a7eac492e0601c9725cbfdda0151ac166ad85a9ace03f48f336ccba","target":"record","created_at":"2026-07-05T09:28:08Z","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":"aabca8e435ca10b3c738ff5ecce5ac6323380d2207dfcf7bed4d4a3c39653a1f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-18T03:26:37Z","title_canon_sha256":"34d08fb207be6a23dd98f00a0d8cfc28b2632463dd80c54f8d0abb43fb62bd40"},"schema_version":"1.0","source":{"id":"2305.10675","kind":"arxiv","version":2}},"canonical_sha256":"09e1afa2729df4ce83fa22ad53aa51cf05e3d19bfe8a2e8df61691ef1bf25972","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"09e1afa2729df4ce83fa22ad53aa51cf05e3d19bfe8a2e8df61691ef1bf25972","first_computed_at":"2026-07-05T09:28:08.894309Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:28:08.894309Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"h4+CjvHurIT/s8fcApJKF/bVDrIRS+OFstKGKiB+WCY0lx9t1+PCDUQNA1XOEwN0c1xi6Tx+NBJC0ivmROsxDw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:28:08.894665Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.10675","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f6f844577a7eac492e0601c9725cbfdda0151ac166ad85a9ace03f48f336ccba","sha256:92c6d535b80379a42d811c51d9f8a1d66a4e828f0d2986cee3bab379b573ff34"],"state_sha256":"ef4637ab13b479592eda39baa6545a049347a0f39390cf209957c21bd986bae7"}