{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:6SG2C35N4CL32XLWNX35K4ILAK","short_pith_number":"pith:6SG2C35N","canonical_record":{"source":{"id":"2210.02077","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-05T08:08:55Z","cross_cats_sorted":[],"title_canon_sha256":"31a86ecb09d0d137cb07116f36cc82229a0239cc6f52e386a2272bb23757103a","abstract_canon_sha256":"455d829c72a432a8d59d9ccbdc9a1ec5b8695eb31727fa086c2323eea2901a31"},"schema_version":"1.0"},"canonical_sha256":"f48da16fade097bd5d766df7d5710b02a79c4caed7426e2e04bf24ef6748df76","source":{"kind":"arxiv","id":"2210.02077","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.02077","created_at":"2026-07-05T05:03:42Z"},{"alias_kind":"arxiv_version","alias_value":"2210.02077v1","created_at":"2026-07-05T05:03:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.02077","created_at":"2026-07-05T05:03:42Z"},{"alias_kind":"pith_short_12","alias_value":"6SG2C35N4CL3","created_at":"2026-07-05T05:03:42Z"},{"alias_kind":"pith_short_16","alias_value":"6SG2C35N4CL32XLW","created_at":"2026-07-05T05:03:42Z"},{"alias_kind":"pith_short_8","alias_value":"6SG2C35N","created_at":"2026-07-05T05:03:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:6SG2C35N4CL32XLWNX35K4ILAK","target":"record","payload":{"canonical_record":{"source":{"id":"2210.02077","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-05T08:08:55Z","cross_cats_sorted":[],"title_canon_sha256":"31a86ecb09d0d137cb07116f36cc82229a0239cc6f52e386a2272bb23757103a","abstract_canon_sha256":"455d829c72a432a8d59d9ccbdc9a1ec5b8695eb31727fa086c2323eea2901a31"},"schema_version":"1.0"},"canonical_sha256":"f48da16fade097bd5d766df7d5710b02a79c4caed7426e2e04bf24ef6748df76","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:03:42.965926Z","signature_b64":"mftVXk19lH1JvDrpNL3665PbWw4+W90A2aBm96zyrYnHymr0Hp4U0nxERivtLzrACMn5045+fodyeue99xYpAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f48da16fade097bd5d766df7d5710b02a79c4caed7426e2e04bf24ef6748df76","last_reissued_at":"2026-07-05T05:03:42.965552Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:03:42.965552Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.02077","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:03:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WB85YyWgE04jOoyWnBTImfo5bgVL3Q4iLvb2IOAndBG10AR4zZIFTYYkEQF0V9yDBngp2oRod3kEVuD3FfOLAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:17:54.398131Z"},"content_sha256":"ef91988ea9832ef793cc15e3d59b6e2ae533339774b3b1a37bb99bbb067e56f1","schema_version":"1.0","event_id":"sha256:ef91988ea9832ef793cc15e3d59b6e2ae533339774b3b1a37bb99bbb067e56f1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:6SG2C35N4CL32XLWNX35K4ILAK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jeffrey Willette, Jonghee Kim, Juho Lee, Sung Ju Hwang, Youngwan Lee","submitted_at":"2022-10-05T08:08:55Z","abstract_excerpt":"Masked image modeling (MIM) has become a popular strategy for self-supervised learning~(SSL) of visual representations with Vision Transformers. A representative MIM model, the masked auto-encoder (MAE), randomly masks a subset of image patches and reconstructs the masked patches given the unmasked patches. Concurrently, many recent works in self-supervised learning utilize the student/teacher paradigm which provides the student with an additional target based on the output of a teacher composed of an exponential moving average (EMA) of previous students. Although common, relatively little is "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.02077","kind":"arxiv","version":1},"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/2210.02077/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":"2026-07-05T05:03:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Bh21YhQwk/f6xnxCXE4sy3ZfrMjEE4mPP3dj8ah3m49AzxTaAGB/pN6+TisqQmdZ+fyeAjTIC119o7uFPWOLCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:17:54.398655Z"},"content_sha256":"93528099c518d4c9406541b260d164c193f4d57afaf6b7e0f59f3414f7dc9235","schema_version":"1.0","event_id":"sha256:93528099c518d4c9406541b260d164c193f4d57afaf6b7e0f59f3414f7dc9235"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6SG2C35N4CL32XLWNX35K4ILAK/bundle.json","state_url":"https://pith.science/pith/6SG2C35N4CL32XLWNX35K4ILAK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6SG2C35N4CL32XLWNX35K4ILAK/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":"2026-08-07T12:17:54Z","links":{"resolver":"https://pith.science/pith/6SG2C35N4CL32XLWNX35K4ILAK","bundle":"https://pith.science/pith/6SG2C35N4CL32XLWNX35K4ILAK/bundle.json","state":"https://pith.science/pith/6SG2C35N4CL32XLWNX35K4ILAK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6SG2C35N4CL32XLWNX35K4ILAK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:6SG2C35N4CL32XLWNX35K4ILAK","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":"455d829c72a432a8d59d9ccbdc9a1ec5b8695eb31727fa086c2323eea2901a31","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-05T08:08:55Z","title_canon_sha256":"31a86ecb09d0d137cb07116f36cc82229a0239cc6f52e386a2272bb23757103a"},"schema_version":"1.0","source":{"id":"2210.02077","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.02077","created_at":"2026-07-05T05:03:42Z"},{"alias_kind":"arxiv_version","alias_value":"2210.02077v1","created_at":"2026-07-05T05:03:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.02077","created_at":"2026-07-05T05:03:42Z"},{"alias_kind":"pith_short_12","alias_value":"6SG2C35N4CL3","created_at":"2026-07-05T05:03:42Z"},{"alias_kind":"pith_short_16","alias_value":"6SG2C35N4CL32XLW","created_at":"2026-07-05T05:03:42Z"},{"alias_kind":"pith_short_8","alias_value":"6SG2C35N","created_at":"2026-07-05T05:03:42Z"}],"graph_snapshots":[{"event_id":"sha256:93528099c518d4c9406541b260d164c193f4d57afaf6b7e0f59f3414f7dc9235","target":"graph","created_at":"2026-07-05T05:03:42Z","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/2210.02077/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Masked image modeling (MIM) has become a popular strategy for self-supervised learning~(SSL) of visual representations with Vision Transformers. A representative MIM model, the masked auto-encoder (MAE), randomly masks a subset of image patches and reconstructs the masked patches given the unmasked patches. Concurrently, many recent works in self-supervised learning utilize the student/teacher paradigm which provides the student with an additional target based on the output of a teacher composed of an exponential moving average (EMA) of previous students. Although common, relatively little is ","authors_text":"Jeffrey Willette, Jonghee Kim, Juho Lee, Sung Ju Hwang, Youngwan Lee","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-05T08:08:55Z","title":"Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.02077","kind":"arxiv","version":1},"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:ef91988ea9832ef793cc15e3d59b6e2ae533339774b3b1a37bb99bbb067e56f1","target":"record","created_at":"2026-07-05T05:03:42Z","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":"455d829c72a432a8d59d9ccbdc9a1ec5b8695eb31727fa086c2323eea2901a31","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-05T08:08:55Z","title_canon_sha256":"31a86ecb09d0d137cb07116f36cc82229a0239cc6f52e386a2272bb23757103a"},"schema_version":"1.0","source":{"id":"2210.02077","kind":"arxiv","version":1}},"canonical_sha256":"f48da16fade097bd5d766df7d5710b02a79c4caed7426e2e04bf24ef6748df76","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f48da16fade097bd5d766df7d5710b02a79c4caed7426e2e04bf24ef6748df76","first_computed_at":"2026-07-05T05:03:42.965552Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:03:42.965552Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mftVXk19lH1JvDrpNL3665PbWw4+W90A2aBm96zyrYnHymr0Hp4U0nxERivtLzrACMn5045+fodyeue99xYpAw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:03:42.965926Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.02077","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ef91988ea9832ef793cc15e3d59b6e2ae533339774b3b1a37bb99bbb067e56f1","sha256:93528099c518d4c9406541b260d164c193f4d57afaf6b7e0f59f3414f7dc9235"],"state_sha256":"1e1f63b3aab4ba94afaef16c6b84fc18bf0a1717a6908b1814fcb8d050e91cb3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t8dDIG4jY/y3B3mPZPvjJvmbn/EAUEUQY2z8Qgse1GO/dYsVkoQAOIu6Q4e5hGizwu9qdrBBPnl0t/1/RefPBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T12:17:54.403822Z","bundle_sha256":"fa053b50aca7e60dd63b5e40bdc7fa2351571a7eb26b9028ebb91acf77b4dd7c"}}