{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:BBGHQKQIMNSHLOOLBXBVBNZOXY","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":"3a343da8c252afd5e3346875d2ae919052646606dc6e1885d3feaf8db463d2ef","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-07T09:33:45Z","title_canon_sha256":"95e7650601eddea0c113e10d92d66674a5e888a0551dbf7720907f85d0c0a3d8"},"schema_version":"1.0","source":{"id":"2202.03026","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.03026","created_at":"2026-07-05T06:39:48Z"},{"alias_kind":"arxiv_version","alias_value":"2202.03026v3","created_at":"2026-07-05T06:39:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.03026","created_at":"2026-07-05T06:39:48Z"},{"alias_kind":"pith_short_12","alias_value":"BBGHQKQIMNSH","created_at":"2026-07-05T06:39:48Z"},{"alias_kind":"pith_short_16","alias_value":"BBGHQKQIMNSHLOOL","created_at":"2026-07-05T06:39:48Z"},{"alias_kind":"pith_short_8","alias_value":"BBGHQKQI","created_at":"2026-07-05T06:39:48Z"}],"graph_snapshots":[{"event_id":"sha256:b4774974b1885f938f724a971f9ef8f285e9f748c886a57eb385f2932104d08e","target":"graph","created_at":"2026-07-05T06:39:48Z","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/2202.03026/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a novel masked image modeling (MIM) approach, context autoencoder (CAE), for self-supervised representation pretraining. We pretrain an encoder by making predictions in the encoded representation space. The pretraining tasks include two tasks: masked representation prediction - predict the representations for the masked patches, and masked patch reconstruction - reconstruct the masked patches. The network is an encoder-regressor-decoder architecture: the encoder takes the visible patches as input; the regressor predicts the representations of the masked patches, which are expected t","authors_text":"Gang Zeng, Jingdong Wang, Mingyu Ding, Ping Luo, Shentong Mo, Shumin Han, Xiaodi Wang, Xiaokang Chen, Ying Xin, Yunhao Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-07T09:33:45Z","title":"Context Autoencoder for Self-Supervised Representation Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.03026","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:a46787970b30cac4f226682cfed0706d2e3169b5f0ccae2fe4f3514eb213cf3f","target":"record","created_at":"2026-07-05T06:39:48Z","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":"3a343da8c252afd5e3346875d2ae919052646606dc6e1885d3feaf8db463d2ef","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-07T09:33:45Z","title_canon_sha256":"95e7650601eddea0c113e10d92d66674a5e888a0551dbf7720907f85d0c0a3d8"},"schema_version":"1.0","source":{"id":"2202.03026","kind":"arxiv","version":3}},"canonical_sha256":"084c782a08636475b9cb0dc350b72ebe1ccec04c822f6eb9c6dd72a9e9bd93dd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"084c782a08636475b9cb0dc350b72ebe1ccec04c822f6eb9c6dd72a9e9bd93dd","first_computed_at":"2026-07-05T06:39:48.474584Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:39:48.474584Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Gb7shxX2Ak0X8sfJz72EYCCggvD25nbDYGP2HiHvWUbte4bi820bl7TvQiDL8dWh6SDxLNx3fQF3vCtV/OMEBw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:39:48.475102Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.03026","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a46787970b30cac4f226682cfed0706d2e3169b5f0ccae2fe4f3514eb213cf3f","sha256:b4774974b1885f938f724a971f9ef8f285e9f748c886a57eb385f2932104d08e"],"state_sha256":"ba919ce1c328f3c0205f55e82fff0f4b8956d0d590f4cb00e308426b33bd4860"}