{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:YN4MNYTZSXMCAE634NCXM2FPVA","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":"55707dce4be2fb5b4305ae456fc7bd3d26277e0e156e17d751be95d562c46d5d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-21T02:13:40Z","title_canon_sha256":"b1c28085e5be1c02ee0a300e6b156edf9563aea2de055c583d85a67e93b78b55"},"schema_version":"1.0","source":{"id":"2308.10421","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.10421","created_at":"2026-07-05T08:58:20Z"},{"alias_kind":"arxiv_version","alias_value":"2308.10421v3","created_at":"2026-07-05T08:58:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.10421","created_at":"2026-07-05T08:58:20Z"},{"alias_kind":"pith_short_12","alias_value":"YN4MNYTZSXMC","created_at":"2026-07-05T08:58:20Z"},{"alias_kind":"pith_short_16","alias_value":"YN4MNYTZSXMCAE63","created_at":"2026-07-05T08:58:20Z"},{"alias_kind":"pith_short_8","alias_value":"YN4MNYTZ","created_at":"2026-07-05T08:58:20Z"}],"graph_snapshots":[{"event_id":"sha256:d561bdcbae6f6f00bc143e80e4d83787fa1c22b2bda316d23f56fe210e601338","target":"graph","created_at":"2026-07-05T08:58:20Z","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/2308.10421/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Masked Autoencoders (MAE) play a pivotal role in learning potent representations, delivering outstanding results across various 3D perception tasks essential for autonomous driving. In real-world driving scenarios, it's commonplace to deploy multiple sensors for comprehensive environment perception. Despite integrating multi-modal features from these sensors can produce rich and powerful features, there is a noticeable challenge in MAE methods addressing this integration due to the substantial disparity between the different modalities. This research delves into multi-modal Masked Autoencoders","authors_text":"Chun-Mei Feng, Guanglei Yang, Jian Zou, Tao Luo, Tianyu Huang, Wangmeng Zuo, Zhenhua Guo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-21T02:13:40Z","title":"UniM$^2$AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.10421","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:e66d1e54c2da0afa78ed87b03ad063c29fd14edbc6641c32750d839e71167702","target":"record","created_at":"2026-07-05T08:58:20Z","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":"55707dce4be2fb5b4305ae456fc7bd3d26277e0e156e17d751be95d562c46d5d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-21T02:13:40Z","title_canon_sha256":"b1c28085e5be1c02ee0a300e6b156edf9563aea2de055c583d85a67e93b78b55"},"schema_version":"1.0","source":{"id":"2308.10421","kind":"arxiv","version":3}},"canonical_sha256":"c378c6e27995d82013dbe3457668afa81eb9c7649fff4c8afd4dd0b5be7f744e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c378c6e27995d82013dbe3457668afa81eb9c7649fff4c8afd4dd0b5be7f744e","first_computed_at":"2026-07-05T08:58:20.050456Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:58:20.050456Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DhsuXdCLUU8oW4m0/dI/StgyEbyds73b2wKlIiiV7Z6S4EC2MvDgbg7oDpE+qqe1wSIYFuamtZrMOs41GuSAAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:58:20.050926Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.10421","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e66d1e54c2da0afa78ed87b03ad063c29fd14edbc6641c32750d839e71167702","sha256:d561bdcbae6f6f00bc143e80e4d83787fa1c22b2bda316d23f56fe210e601338"],"state_sha256":"7173586a6eb18896affd666000b3ce37145f934330ffbee11763fb517b1006dd"}