{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:2XYFG2R7D5AUWMMMFL4KVUEIT5","short_pith_number":"pith:2XYFG2R7","canonical_record":{"source":{"id":"2008.05659","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-13T03:02:32Z","cross_cats_sorted":[],"title_canon_sha256":"3a5a74584f298df74e9910ed1ced27516ac1d551adca2b4e78c82b3323dfe538","abstract_canon_sha256":"b8691b178cdb8401f006b72429b666a6f8e29118133387bb8ddd25f51b4456c8"},"schema_version":"1.0"},"canonical_sha256":"d5f0536a3f1f414b318c2af8aad0889f6322796f776b6f5c97e3a322661156a3","source":{"kind":"arxiv","id":"2008.05659","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.05659","created_at":"2026-07-05T02:24:30Z"},{"alias_kind":"arxiv_version","alias_value":"2008.05659v2","created_at":"2026-07-05T02:24:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.05659","created_at":"2026-07-05T02:24:30Z"},{"alias_kind":"pith_short_12","alias_value":"2XYFG2R7D5AU","created_at":"2026-07-05T02:24:30Z"},{"alias_kind":"pith_short_16","alias_value":"2XYFG2R7D5AUWMMM","created_at":"2026-07-05T02:24:30Z"},{"alias_kind":"pith_short_8","alias_value":"2XYFG2R7","created_at":"2026-07-05T02:24:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:2XYFG2R7D5AUWMMMFL4KVUEIT5","target":"record","payload":{"canonical_record":{"source":{"id":"2008.05659","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-13T03:02:32Z","cross_cats_sorted":[],"title_canon_sha256":"3a5a74584f298df74e9910ed1ced27516ac1d551adca2b4e78c82b3323dfe538","abstract_canon_sha256":"b8691b178cdb8401f006b72429b666a6f8e29118133387bb8ddd25f51b4456c8"},"schema_version":"1.0"},"canonical_sha256":"d5f0536a3f1f414b318c2af8aad0889f6322796f776b6f5c97e3a322661156a3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:24:30.163813Z","signature_b64":"mzhk3d76JBHPpQv8VKtb543t/FErJ9cqWKHjV0bQfWJ5BRbcsA52PEEOtnst2LPoTjyr+f/M2UbRspmRjJCnCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d5f0536a3f1f414b318c2af8aad0889f6322796f776b6f5c97e3a322661156a3","last_reissued_at":"2026-07-05T02:24:30.163256Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:24:30.163256Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2008.05659","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:24:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0ZpZWdc8FbC026y4V6vVooRDgyJlTgfU9logzFiz5Jwt0X7q4CHtKoNwmO3fQIf0gJ4N3UeQ+WSIEDHTq6bTCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:33:03.746554Z"},"content_sha256":"28654f0d596ecb8a9184db0213f59bbe94c2eb5e66bd56a0e79cf07fed955cbb","schema_version":"1.0","event_id":"sha256:28654f0d596ecb8a9184db0213f59bbe94c2eb5e66bd56a0e79cf07fed955cbb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:2XYFG2R7D5AUWMMMFL4KVUEIT5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"What Should Not Be Contrastive in Contrastive Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alexei A. Efros, Tete Xiao, Trevor Darrell, Xiaolong Wang","submitted_at":"2020-08-13T03:02:32Z","abstract_excerpt":"Recent self-supervised contrastive methods have been able to produce impressive transferable visual representations by learning to be invariant to different data augmentations. However, these methods implicitly assume a particular set of representational invariances (e.g., invariance to color), and can perform poorly when a downstream task violates this assumption (e.g., distinguishing red vs. yellow cars). We introduce a contrastive learning framework which does not require prior knowledge of specific, task-dependent invariances. Our model learns to capture varying and invariant factors for v"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.05659","kind":"arxiv","version":2},"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/2008.05659/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":"2026-07-05T02:24:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T/EHUVWFpaUYVtFVOGIp62qR0EukfrgDMvM8Oz3hiOmlaaZfEQHs3i598bEPtIHGxOl5yFRcEqfWFv6piHB9AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:33:03.747071Z"},"content_sha256":"20187577da0373d86ed4e559b854a8c72bf999f61fb65823c3ec95b7c13c20a1","schema_version":"1.0","event_id":"sha256:20187577da0373d86ed4e559b854a8c72bf999f61fb65823c3ec95b7c13c20a1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2XYFG2R7D5AUWMMMFL4KVUEIT5/bundle.json","state_url":"https://pith.science/pith/2XYFG2R7D5AUWMMMFL4KVUEIT5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2XYFG2R7D5AUWMMMFL4KVUEIT5/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":"2026-08-07T18:33:03Z","links":{"resolver":"https://pith.science/pith/2XYFG2R7D5AUWMMMFL4KVUEIT5","bundle":"https://pith.science/pith/2XYFG2R7D5AUWMMMFL4KVUEIT5/bundle.json","state":"https://pith.science/pith/2XYFG2R7D5AUWMMMFL4KVUEIT5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2XYFG2R7D5AUWMMMFL4KVUEIT5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:2XYFG2R7D5AUWMMMFL4KVUEIT5","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":"b8691b178cdb8401f006b72429b666a6f8e29118133387bb8ddd25f51b4456c8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-13T03:02:32Z","title_canon_sha256":"3a5a74584f298df74e9910ed1ced27516ac1d551adca2b4e78c82b3323dfe538"},"schema_version":"1.0","source":{"id":"2008.05659","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.05659","created_at":"2026-07-05T02:24:30Z"},{"alias_kind":"arxiv_version","alias_value":"2008.05659v2","created_at":"2026-07-05T02:24:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.05659","created_at":"2026-07-05T02:24:30Z"},{"alias_kind":"pith_short_12","alias_value":"2XYFG2R7D5AU","created_at":"2026-07-05T02:24:30Z"},{"alias_kind":"pith_short_16","alias_value":"2XYFG2R7D5AUWMMM","created_at":"2026-07-05T02:24:30Z"},{"alias_kind":"pith_short_8","alias_value":"2XYFG2R7","created_at":"2026-07-05T02:24:30Z"}],"graph_snapshots":[{"event_id":"sha256:20187577da0373d86ed4e559b854a8c72bf999f61fb65823c3ec95b7c13c20a1","target":"graph","created_at":"2026-07-05T02:24:30Z","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/2008.05659/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent self-supervised contrastive methods have been able to produce impressive transferable visual representations by learning to be invariant to different data augmentations. However, these methods implicitly assume a particular set of representational invariances (e.g., invariance to color), and can perform poorly when a downstream task violates this assumption (e.g., distinguishing red vs. yellow cars). We introduce a contrastive learning framework which does not require prior knowledge of specific, task-dependent invariances. Our model learns to capture varying and invariant factors for v","authors_text":"Alexei A. Efros, Tete Xiao, Trevor Darrell, Xiaolong Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-13T03:02:32Z","title":"What Should Not Be Contrastive in Contrastive Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.05659","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":"sha256:28654f0d596ecb8a9184db0213f59bbe94c2eb5e66bd56a0e79cf07fed955cbb","target":"record","created_at":"2026-07-05T02:24:30Z","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":"b8691b178cdb8401f006b72429b666a6f8e29118133387bb8ddd25f51b4456c8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-13T03:02:32Z","title_canon_sha256":"3a5a74584f298df74e9910ed1ced27516ac1d551adca2b4e78c82b3323dfe538"},"schema_version":"1.0","source":{"id":"2008.05659","kind":"arxiv","version":2}},"canonical_sha256":"d5f0536a3f1f414b318c2af8aad0889f6322796f776b6f5c97e3a322661156a3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d5f0536a3f1f414b318c2af8aad0889f6322796f776b6f5c97e3a322661156a3","first_computed_at":"2026-07-05T02:24:30.163256Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:24:30.163256Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mzhk3d76JBHPpQv8VKtb543t/FErJ9cqWKHjV0bQfWJ5BRbcsA52PEEOtnst2LPoTjyr+f/M2UbRspmRjJCnCg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:24:30.163813Z","signed_message":"canonical_sha256_bytes"},"source_id":"2008.05659","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:28654f0d596ecb8a9184db0213f59bbe94c2eb5e66bd56a0e79cf07fed955cbb","sha256:20187577da0373d86ed4e559b854a8c72bf999f61fb65823c3ec95b7c13c20a1"],"state_sha256":"168450e22c28bf03a35260c043d7889e41c7cda5f212cacbf81c04f25cd30e2f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1+BBkssDMnOrQqcP8FG2o0RGsJypxKcidfQ9NebBHNctjsaKAJjiIJJvKny4YorTlcFqYPe2BeR0YkrgwT/PAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T18:33:03.752069Z","bundle_sha256":"ed689ebaa86e6ba72d2649d870dff8725c50d7734fc8a21edc2e0b02ace06ad5"}}