{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:T6XHEKLTG67TLEYPIEIMJFT4EE","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":"6fceb553a51e46cb99bcbde1804cee8b26624514a9abd728c68d484b3303de16","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-08T10:39:13Z","title_canon_sha256":"814ce35778f44306a3344ac74020540ec106a923719554032328ad1b2d86c2eb"},"schema_version":"1.0","source":{"id":"2112.04215","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.04215","created_at":"2026-07-05T04:10:38Z"},{"alias_kind":"arxiv_version","alias_value":"2112.04215v2","created_at":"2026-07-05T04:10:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.04215","created_at":"2026-07-05T04:10:38Z"},{"alias_kind":"pith_short_12","alias_value":"T6XHEKLTG67T","created_at":"2026-07-05T04:10:38Z"},{"alias_kind":"pith_short_16","alias_value":"T6XHEKLTG67TLEYP","created_at":"2026-07-05T04:10:38Z"},{"alias_kind":"pith_short_8","alias_value":"T6XHEKLT","created_at":"2026-07-05T04:10:38Z"}],"graph_snapshots":[{"event_id":"sha256:2bf6027df2c03b69eaf754f3862771b9d096284e576e205a9e78302d9608c050","target":"graph","created_at":"2026-07-05T04:10:38Z","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/2112.04215/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-supervised models have been shown to produce comparable or better visual representations than their supervised counterparts when trained offline on unlabeled data at scale. However, their efficacy is catastrophically reduced in a Continual Learning (CL) scenario where data is presented to the model sequentially. In this paper, we show that self-supervised loss functions can be seamlessly converted into distillation mechanisms for CL by adding a predictor network that maps the current state of the representations to their past state. This enables us to devise a framework for Continual self","authors_text":"Elisa Ricci, Enrico Fini, Julien Mairal, Karteek Alahari, Victor G. Turrisi da Costa, Xavier Alameda-Pineda","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-08T10:39:13Z","title":"Self-Supervised Models are Continual Learners"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.04215","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:e193332670b3369e6224738ddb788c43cbc8c5615e14bf9ff33e0e91889b6529","target":"record","created_at":"2026-07-05T04:10:38Z","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":"6fceb553a51e46cb99bcbde1804cee8b26624514a9abd728c68d484b3303de16","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-08T10:39:13Z","title_canon_sha256":"814ce35778f44306a3344ac74020540ec106a923719554032328ad1b2d86c2eb"},"schema_version":"1.0","source":{"id":"2112.04215","kind":"arxiv","version":2}},"canonical_sha256":"9fae72297337bf35930f4110c4967c213fd76a0f310f49c922026cd147948ce8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9fae72297337bf35930f4110c4967c213fd76a0f310f49c922026cd147948ce8","first_computed_at":"2026-07-05T04:10:38.907731Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:10:38.907731Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x+bKPMEHqwCZFGJFazdZ/Lq/veWdtN8lvW0q5M+FBiTdXLSjyKJtgsSt2ABnTDxmC/2W3mcv9hC7MCxckZOLAA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:10:38.908215Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.04215","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e193332670b3369e6224738ddb788c43cbc8c5615e14bf9ff33e0e91889b6529","sha256:2bf6027df2c03b69eaf754f3862771b9d096284e576e205a9e78302d9608c050"],"state_sha256":"d02316729a0ca1b61205ee4800490bc5fcd157f4890c9bea240fb272bdca257a"}