{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:Z4W5LYEYUR6SEUGBVXPEX7EPT5","short_pith_number":"pith:Z4W5LYEY","canonical_record":{"source":{"id":"2107.10419","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-22T02:06:38Z","cross_cats_sorted":[],"title_canon_sha256":"948024c674eb09a014137fb6337b43ddd938d0a4a740ec2901193af6d72206b7","abstract_canon_sha256":"8b1733c8bc62528d55729b16b8c9ce8ed21fcdf8b372c1f7351a53da62b92950"},"schema_version":"1.0"},"canonical_sha256":"cf2dd5e098a47d2250c1adde4bfc8f9f49258bbbc7b1f482e7e2c3442165d91c","source":{"kind":"arxiv","id":"2107.10419","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.10419","created_at":"2026-07-05T06:44:03Z"},{"alias_kind":"arxiv_version","alias_value":"2107.10419v3","created_at":"2026-07-05T06:44:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.10419","created_at":"2026-07-05T06:44:03Z"},{"alias_kind":"pith_short_12","alias_value":"Z4W5LYEYUR6S","created_at":"2026-07-05T06:44:03Z"},{"alias_kind":"pith_short_16","alias_value":"Z4W5LYEYUR6SEUGB","created_at":"2026-07-05T06:44:03Z"},{"alias_kind":"pith_short_8","alias_value":"Z4W5LYEY","created_at":"2026-07-05T06:44:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:Z4W5LYEYUR6SEUGBVXPEX7EPT5","target":"record","payload":{"canonical_record":{"source":{"id":"2107.10419","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-22T02:06:38Z","cross_cats_sorted":[],"title_canon_sha256":"948024c674eb09a014137fb6337b43ddd938d0a4a740ec2901193af6d72206b7","abstract_canon_sha256":"8b1733c8bc62528d55729b16b8c9ce8ed21fcdf8b372c1f7351a53da62b92950"},"schema_version":"1.0"},"canonical_sha256":"cf2dd5e098a47d2250c1adde4bfc8f9f49258bbbc7b1f482e7e2c3442165d91c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:44:03.779223Z","signature_b64":"zms7cpKnoeoqYI9u6rzbgfbGbHu0XocYNaRiKhDNGXdv2HXcYGuzoj/g8GN38Aq13U3+sZ48C1ZFwPESqWrvDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cf2dd5e098a47d2250c1adde4bfc8f9f49258bbbc7b1f482e7e2c3442165d91c","last_reissued_at":"2026-07-05T06:44:03.778760Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:44:03.778760Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.10419","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:44:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zWLfg7cajVRSwsLM11+EbrZJs0PdZz4KYZ8cCBuNK8VgkTOMOMc5cQhZsNCpzlgZMgUhyl85kjJKSQLr/ISbBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T07:45:49.504772Z"},"content_sha256":"e5143bad2f3cf1f055a9a38654669a928538c3698bba812b49a68fb0c80e1f41","schema_version":"1.0","event_id":"sha256:e5143bad2f3cf1f055a9a38654669a928538c3698bba812b49a68fb0c80e1f41"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:Z4W5LYEYUR6SEUGBVXPEX7EPT5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiebo Luo, Jing Huo, Lei Wang, Meihao Kong, Wenbin Li, Xuesong Yang, Yang Gao","submitted_at":"2021-07-22T02:06:38Z","abstract_excerpt":"Contrastive self-supervised learning (SSL) methods, such as MoCo and SimCLR, have achieved great success in unsupervised visual representation learning. They rely on a large number of negative pairs and thus require either large memory banks or large batches. Some recent non-contrastive SSL methods, such as BYOL and SimSiam, attempt to discard negative pairs and have also shown remarkable performance. To avoid collapsed solutions caused by not using negative pairs, these methods require non-trivial asymmetry designs. However, in small data regimes, we can not obtain a sufficient number of nega"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.10419","kind":"arxiv","version":3},"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/2107.10419/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":"2026-07-05T06:44:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"18Ss7Ck9tVT92b+La+/ipAQT3Y5i8vPA0AG/sbtX69Ie92aVHQF+5ALXl3iQqNpUsednwM230kucUde9fv+LCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T07:45:49.505449Z"},"content_sha256":"2dd633cea3f1bee0744c3120afb94595cabddd107ebde0ffbc46e63c809dfa3a","schema_version":"1.0","event_id":"sha256:2dd633cea3f1bee0744c3120afb94595cabddd107ebde0ffbc46e63c809dfa3a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Z4W5LYEYUR6SEUGBVXPEX7EPT5/bundle.json","state_url":"https://pith.science/pith/Z4W5LYEYUR6SEUGBVXPEX7EPT5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Z4W5LYEYUR6SEUGBVXPEX7EPT5/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":"2026-08-22T07:45:49Z","links":{"resolver":"https://pith.science/pith/Z4W5LYEYUR6SEUGBVXPEX7EPT5","bundle":"https://pith.science/pith/Z4W5LYEYUR6SEUGBVXPEX7EPT5/bundle.json","state":"https://pith.science/pith/Z4W5LYEYUR6SEUGBVXPEX7EPT5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Z4W5LYEYUR6SEUGBVXPEX7EPT5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:Z4W5LYEYUR6SEUGBVXPEX7EPT5","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":"8b1733c8bc62528d55729b16b8c9ce8ed21fcdf8b372c1f7351a53da62b92950","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-22T02:06:38Z","title_canon_sha256":"948024c674eb09a014137fb6337b43ddd938d0a4a740ec2901193af6d72206b7"},"schema_version":"1.0","source":{"id":"2107.10419","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.10419","created_at":"2026-07-05T06:44:03Z"},{"alias_kind":"arxiv_version","alias_value":"2107.10419v3","created_at":"2026-07-05T06:44:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.10419","created_at":"2026-07-05T06:44:03Z"},{"alias_kind":"pith_short_12","alias_value":"Z4W5LYEYUR6S","created_at":"2026-07-05T06:44:03Z"},{"alias_kind":"pith_short_16","alias_value":"Z4W5LYEYUR6SEUGB","created_at":"2026-07-05T06:44:03Z"},{"alias_kind":"pith_short_8","alias_value":"Z4W5LYEY","created_at":"2026-07-05T06:44:03Z"}],"graph_snapshots":[{"event_id":"sha256:2dd633cea3f1bee0744c3120afb94595cabddd107ebde0ffbc46e63c809dfa3a","target":"graph","created_at":"2026-07-05T06:44:03Z","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/2107.10419/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Contrastive self-supervised learning (SSL) methods, such as MoCo and SimCLR, have achieved great success in unsupervised visual representation learning. They rely on a large number of negative pairs and thus require either large memory banks or large batches. Some recent non-contrastive SSL methods, such as BYOL and SimSiam, attempt to discard negative pairs and have also shown remarkable performance. To avoid collapsed solutions caused by not using negative pairs, these methods require non-trivial asymmetry designs. However, in small data regimes, we can not obtain a sufficient number of nega","authors_text":"Jiebo Luo, Jing Huo, Lei Wang, Meihao Kong, Wenbin Li, Xuesong Yang, Yang Gao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-22T02:06:38Z","title":"Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.10419","kind":"arxiv","version":3},"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:e5143bad2f3cf1f055a9a38654669a928538c3698bba812b49a68fb0c80e1f41","target":"record","created_at":"2026-07-05T06:44:03Z","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":"8b1733c8bc62528d55729b16b8c9ce8ed21fcdf8b372c1f7351a53da62b92950","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-22T02:06:38Z","title_canon_sha256":"948024c674eb09a014137fb6337b43ddd938d0a4a740ec2901193af6d72206b7"},"schema_version":"1.0","source":{"id":"2107.10419","kind":"arxiv","version":3}},"canonical_sha256":"cf2dd5e098a47d2250c1adde4bfc8f9f49258bbbc7b1f482e7e2c3442165d91c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cf2dd5e098a47d2250c1adde4bfc8f9f49258bbbc7b1f482e7e2c3442165d91c","first_computed_at":"2026-07-05T06:44:03.778760Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:44:03.778760Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zms7cpKnoeoqYI9u6rzbgfbGbHu0XocYNaRiKhDNGXdv2HXcYGuzoj/g8GN38Aq13U3+sZ48C1ZFwPESqWrvDw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:44:03.779223Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.10419","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e5143bad2f3cf1f055a9a38654669a928538c3698bba812b49a68fb0c80e1f41","sha256:2dd633cea3f1bee0744c3120afb94595cabddd107ebde0ffbc46e63c809dfa3a"],"state_sha256":"d9d0d74853c9aa97afa442e2902262d7b8af8eeca19562fbd0e530a9e1af96f9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XPLn9BtN1dDXla5sQN6TRFYBT+FgeIdegME5x2GVezZul1br1M6OtvoNygGUP1X2Dq0jAyLk64t2OYro7+X7Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T07:45:49.512280Z","bundle_sha256":"867c26ac669616a90f9e7fb53cbcbc575054ac35eba39afdbd2ffb202fb15e20"}}