{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BZDSJGKYIXKWJTUTUFGMOIFBWR","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":"9e83900794375c78f1d4f85c838aea9f630c5fae1b046945012b75df5907e3ca","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-26T16:04:19Z","title_canon_sha256":"a129165bfbca02bf7639ed847c026180d02188ccc97a5dc161de39f752cf5305"},"schema_version":"1.0","source":{"id":"2403.17823","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.17823","created_at":"2026-07-05T10:15:16Z"},{"alias_kind":"arxiv_version","alias_value":"2403.17823v2","created_at":"2026-07-05T10:15:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.17823","created_at":"2026-07-05T10:15:16Z"},{"alias_kind":"pith_short_12","alias_value":"BZDSJGKYIXKW","created_at":"2026-07-05T10:15:16Z"},{"alias_kind":"pith_short_16","alias_value":"BZDSJGKYIXKWJTUT","created_at":"2026-07-05T10:15:16Z"},{"alias_kind":"pith_short_8","alias_value":"BZDSJGKY","created_at":"2026-07-05T10:15:16Z"}],"graph_snapshots":[{"event_id":"sha256:3ed1cd5cee08c234de7deb3a2c5836c340c97f3221123167efd70f867417579f","target":"graph","created_at":"2026-07-05T10:15:16Z","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/2403.17823/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-supervised pre-training of image encoders is omnipresent in the literature, particularly following the introduction of Masked autoencoders (MAE). Current efforts attempt to learn object-centric representations from motion in videos. In particular, SiamMAE recently introduced a Siamese network, training a shared-weight encoder from two frames of a video with a high asymmetric masking ratio (95%). In this work, we propose CropMAE, an alternative approach to the Siamese pre-training introduced by SiamMAE. Our method specifically differs by exclusively considering pairs of cropped images sour","authors_text":"Alexandre Eyma\\\"el, Anthony Cioppa, Bernard Ghanem, Marc Van Droogenbroeck, Renaud Vandeghen, Silvio Giancola","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-26T16:04:19Z","title":"Efficient Image Pre-Training with Siamese Cropped Masked Autoencoders"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.17823","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":"sha256:196ba0cc40655cd5b0142ba021e5c536c0ee610f350e6ab0e618803bcfb839e3","target":"record","created_at":"2026-07-05T10:15:16Z","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":"9e83900794375c78f1d4f85c838aea9f630c5fae1b046945012b75df5907e3ca","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-26T16:04:19Z","title_canon_sha256":"a129165bfbca02bf7639ed847c026180d02188ccc97a5dc161de39f752cf5305"},"schema_version":"1.0","source":{"id":"2403.17823","kind":"arxiv","version":2}},"canonical_sha256":"0e4724995845d564ce93a14cc720a1b462bb4535318e38dfce724e7430b1acd7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0e4724995845d564ce93a14cc720a1b462bb4535318e38dfce724e7430b1acd7","first_computed_at":"2026-07-05T10:15:16.051131Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:15:16.051131Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LrAUJNLIQC6b4GFSdKBwLjAQe1exleWXA5MK+j303dqTk7nEEcTVZDCTzCzz8uMU8U7M9/4fB7CYT/bUJQH4CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:15:16.051650Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.17823","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:196ba0cc40655cd5b0142ba021e5c536c0ee610f350e6ab0e618803bcfb839e3","sha256:3ed1cd5cee08c234de7deb3a2c5836c340c97f3221123167efd70f867417579f"],"state_sha256":"7cf9d04ac996e844076655acb4e9de8457f3f3d9c25a2ea2ddb3436f67dd66f5"}