{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:LREXM3EXF6TS7YN2LNSAA3VQBN","short_pith_number":"pith:LREXM3EX","canonical_record":{"source":{"id":"2010.06300","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-13T11:34:25Z","cross_cats_sorted":[],"title_canon_sha256":"04823f488170179b4eab872235fe63b0fb68c3f7eb953b08dac8e04129d91be7","abstract_canon_sha256":"a1e2f5b0b76f553924732e9174778a14c1b96c828df91a8c1b437c40cee833fe"},"schema_version":"1.0"},"canonical_sha256":"5c49766c972fa72fe1ba5b64006eb00b531e787dbadf8dcd90d68f2bfaa0a341","source":{"kind":"arxiv","id":"2010.06300","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.06300","created_at":"2026-07-05T01:51:45Z"},{"alias_kind":"arxiv_version","alias_value":"2010.06300v2","created_at":"2026-07-05T01:51:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.06300","created_at":"2026-07-05T01:51:45Z"},{"alias_kind":"pith_short_12","alias_value":"LREXM3EXF6TS","created_at":"2026-07-05T01:51:45Z"},{"alias_kind":"pith_short_16","alias_value":"LREXM3EXF6TS7YN2","created_at":"2026-07-05T01:51:45Z"},{"alias_kind":"pith_short_8","alias_value":"LREXM3EX","created_at":"2026-07-05T01:51:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:LREXM3EXF6TS7YN2LNSAA3VQBN","target":"record","payload":{"canonical_record":{"source":{"id":"2010.06300","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-13T11:34:25Z","cross_cats_sorted":[],"title_canon_sha256":"04823f488170179b4eab872235fe63b0fb68c3f7eb953b08dac8e04129d91be7","abstract_canon_sha256":"a1e2f5b0b76f553924732e9174778a14c1b96c828df91a8c1b437c40cee833fe"},"schema_version":"1.0"},"canonical_sha256":"5c49766c972fa72fe1ba5b64006eb00b531e787dbadf8dcd90d68f2bfaa0a341","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:51:45.237143Z","signature_b64":"veSDwYsQpbHnQghFC1bHesTcFE/QuuZXhU7jnngi+rTN2MRpSTfRRtB+PbC4wekBK5EDB/tjbvHpom1MLsxSDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5c49766c972fa72fe1ba5b64006eb00b531e787dbadf8dcd90d68f2bfaa0a341","last_reissued_at":"2026-07-05T01:51:45.236712Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:51:45.236712Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2010.06300","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":"2026-07-05T01:51:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QfS3Rb+bCZXzIr+nC3gshNKsU9pqNXHq0D3uj97sDrG+/jpwNaNeih3YRqYyxE9fCmSoSf8cEJFR5Twh9fuNCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T07:18:46.784391Z"},"content_sha256":"c8b7d7f595084e45ce4926dcb835e269839d843f8c2ab4199384d76eed6ea833","schema_version":"1.0","event_id":"sha256:c8b7d7f595084e45ce4926dcb835e269839d843f8c2ab4199384d76eed6ea833"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:LREXM3EXF6TS7YN2LNSAA3VQBN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MixCo: Mix-up Contrastive Learning for Visual Representation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Gihun Lee, Sangmin Bae, Se-Young Yun, Sungnyun Kim","submitted_at":"2020-10-13T11:34:25Z","abstract_excerpt":"Contrastive learning has shown remarkable results in recent self-supervised approaches for visual representation. By learning to contrast positive pairs' representation from the corresponding negatives pairs, one can train good visual representations without human annotations. This paper proposes Mix-up Contrast (MixCo), which extends the contrastive learning concept to semi-positives encoded from the mix-up of positive and negative images. MixCo aims to learn the relative similarity of representations, reflecting how much the mixed images have the original positives. We validate the efficacy "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.06300","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/2010.06300/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":"2026-07-05T01:51:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xpiEWUOh0XMFQJ+/rA1MVxdZ9vQKiMHNK9EjsyE8IWxO0TTwshMQrWXYP/7vxWxQ0jbECkEkCRtL/wnTdiOyCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T07:18:46.785302Z"},"content_sha256":"a49a3af366c6165e4acb37ec4d19ce98c742c8d667798ee03ddc6afb15543220","schema_version":"1.0","event_id":"sha256:a49a3af366c6165e4acb37ec4d19ce98c742c8d667798ee03ddc6afb15543220"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LREXM3EXF6TS7YN2LNSAA3VQBN/bundle.json","state_url":"https://pith.science/pith/LREXM3EXF6TS7YN2LNSAA3VQBN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LREXM3EXF6TS7YN2LNSAA3VQBN/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":"2026-08-09T07:18:46Z","links":{"resolver":"https://pith.science/pith/LREXM3EXF6TS7YN2LNSAA3VQBN","bundle":"https://pith.science/pith/LREXM3EXF6TS7YN2LNSAA3VQBN/bundle.json","state":"https://pith.science/pith/LREXM3EXF6TS7YN2LNSAA3VQBN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LREXM3EXF6TS7YN2LNSAA3VQBN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:LREXM3EXF6TS7YN2LNSAA3VQBN","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":"a1e2f5b0b76f553924732e9174778a14c1b96c828df91a8c1b437c40cee833fe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-13T11:34:25Z","title_canon_sha256":"04823f488170179b4eab872235fe63b0fb68c3f7eb953b08dac8e04129d91be7"},"schema_version":"1.0","source":{"id":"2010.06300","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.06300","created_at":"2026-07-05T01:51:45Z"},{"alias_kind":"arxiv_version","alias_value":"2010.06300v2","created_at":"2026-07-05T01:51:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.06300","created_at":"2026-07-05T01:51:45Z"},{"alias_kind":"pith_short_12","alias_value":"LREXM3EXF6TS","created_at":"2026-07-05T01:51:45Z"},{"alias_kind":"pith_short_16","alias_value":"LREXM3EXF6TS7YN2","created_at":"2026-07-05T01:51:45Z"},{"alias_kind":"pith_short_8","alias_value":"LREXM3EX","created_at":"2026-07-05T01:51:45Z"}],"graph_snapshots":[{"event_id":"sha256:a49a3af366c6165e4acb37ec4d19ce98c742c8d667798ee03ddc6afb15543220","target":"graph","created_at":"2026-07-05T01:51:45Z","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/2010.06300/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Contrastive learning has shown remarkable results in recent self-supervised approaches for visual representation. By learning to contrast positive pairs' representation from the corresponding negatives pairs, one can train good visual representations without human annotations. This paper proposes Mix-up Contrast (MixCo), which extends the contrastive learning concept to semi-positives encoded from the mix-up of positive and negative images. MixCo aims to learn the relative similarity of representations, reflecting how much the mixed images have the original positives. We validate the efficacy ","authors_text":"Gihun Lee, Sangmin Bae, Se-Young Yun, Sungnyun Kim","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-13T11:34:25Z","title":"MixCo: Mix-up Contrastive Learning for Visual Representation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.06300","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:c8b7d7f595084e45ce4926dcb835e269839d843f8c2ab4199384d76eed6ea833","target":"record","created_at":"2026-07-05T01:51:45Z","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":"a1e2f5b0b76f553924732e9174778a14c1b96c828df91a8c1b437c40cee833fe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-13T11:34:25Z","title_canon_sha256":"04823f488170179b4eab872235fe63b0fb68c3f7eb953b08dac8e04129d91be7"},"schema_version":"1.0","source":{"id":"2010.06300","kind":"arxiv","version":2}},"canonical_sha256":"5c49766c972fa72fe1ba5b64006eb00b531e787dbadf8dcd90d68f2bfaa0a341","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c49766c972fa72fe1ba5b64006eb00b531e787dbadf8dcd90d68f2bfaa0a341","first_computed_at":"2026-07-05T01:51:45.236712Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:51:45.236712Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"veSDwYsQpbHnQghFC1bHesTcFE/QuuZXhU7jnngi+rTN2MRpSTfRRtB+PbC4wekBK5EDB/tjbvHpom1MLsxSDg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:51:45.237143Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.06300","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c8b7d7f595084e45ce4926dcb835e269839d843f8c2ab4199384d76eed6ea833","sha256:a49a3af366c6165e4acb37ec4d19ce98c742c8d667798ee03ddc6afb15543220"],"state_sha256":"fbda0e25b46288ffc06ff80971fc3e9c0ad4628c20f8d22e97ad71c1c2359259"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eJShpkEwl3rHrhFrM37h5WJazxJAf/9Gx8DnaTIB4+Gc3F9j+8N9saRvQAC3H1Uij5OznvFTnBlxRWxXCNduAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T07:18:46.792068Z","bundle_sha256":"bf3cadf3b422b2289267344e04abb6df1ec6193f6e5f72b066bcb63cf41e8afa"}}