{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:BS6HQFQZYBWWWN5BQHA6RIJZV5","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":"dfa19ec703ce12105adc810b85577f8b461174b3df37e4e5e10e5c3a659e69d8","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-19T09:38:21Z","title_canon_sha256":"3c0f1c5878f32dbdb67c9a7943d9e3815d02e358746cd28f5fe918e71b50e723"},"schema_version":"1.0","source":{"id":"2306.10798","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.10798","created_at":"2026-07-05T08:07:56Z"},{"alias_kind":"arxiv_version","alias_value":"2306.10798v3","created_at":"2026-07-05T08:07:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.10798","created_at":"2026-07-05T08:07:56Z"},{"alias_kind":"pith_short_12","alias_value":"BS6HQFQZYBWW","created_at":"2026-07-05T08:07:56Z"},{"alias_kind":"pith_short_16","alias_value":"BS6HQFQZYBWWWN5B","created_at":"2026-07-05T08:07:56Z"},{"alias_kind":"pith_short_8","alias_value":"BS6HQFQZ","created_at":"2026-07-05T08:07:56Z"}],"graph_snapshots":[{"event_id":"sha256:951365c9c448d7331363370133990322a5da04d8c1ee1f1950d14f69fdbb8f65","target":"graph","created_at":"2026-07-05T08:07:56Z","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/2306.10798/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper we delve into the properties of transformers, attained through self-supervision, in the point cloud domain. Specifically, we evaluate the effectiveness of Masked Autoencoding as a pretraining scheme, and explore Momentum Contrast as an alternative. In our study we investigate the impact of data quantity on the learned features, and uncover similarities in the transformer's behavior across domains. Through comprehensive visualiations, we observe that the transformer learns to attend to semantically meaningful regions, indicating that pretraining leads to a better understanding of ","authors_text":"Adrian Munteanu, Ioannis Romanelis, Konstantinos Moustakas, Vlassis Fotis","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-19T09:38:21Z","title":"ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.10798","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:ac4b0621001be4e5598aff59c011e3d300179f719eb5c9f6236f6a39bc8a48f9","target":"record","created_at":"2026-07-05T08:07:56Z","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":"dfa19ec703ce12105adc810b85577f8b461174b3df37e4e5e10e5c3a659e69d8","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-19T09:38:21Z","title_canon_sha256":"3c0f1c5878f32dbdb67c9a7943d9e3815d02e358746cd28f5fe918e71b50e723"},"schema_version":"1.0","source":{"id":"2306.10798","kind":"arxiv","version":3}},"canonical_sha256":"0cbc781619c06d6b37a181c1e8a139af4c45d7a728d4482b7dafaf049d626732","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0cbc781619c06d6b37a181c1e8a139af4c45d7a728d4482b7dafaf049d626732","first_computed_at":"2026-07-05T08:07:56.844065Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:07:56.844065Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CXJhY3Mm7+8xPIYlWx91jOxFpY2kPJTT4P+Cfu1GN5zSH5pxQKVqKmCx/GRmHvGzqCdu5oU/GLUIGvc0JHnqDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:07:56.844475Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.10798","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ac4b0621001be4e5598aff59c011e3d300179f719eb5c9f6236f6a39bc8a48f9","sha256:951365c9c448d7331363370133990322a5da04d8c1ee1f1950d14f69fdbb8f65"],"state_sha256":"d0b65e606edf4e18115cfd46f7cbbae3872ac6ada94f87e486208e842714dc11"}