{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FQP6N5XRBVW3YFITAVAM7KNXMO","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":"bc71ced9046e17b74e9baa8190fbc008b8001e6cddfdec735a0cc0e4cbee74d6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-12T12:25:54Z","title_canon_sha256":"d69e79d54c46bfe5d53d06f4d78f9b1da3e256f3f55dd05e662854dfad786dca"},"schema_version":"1.0","source":{"id":"2403.07593","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.07593","created_at":"2026-07-05T09:25:23Z"},{"alias_kind":"arxiv_version","alias_value":"2403.07593v2","created_at":"2026-07-05T09:25:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.07593","created_at":"2026-07-05T09:25:23Z"},{"alias_kind":"pith_short_12","alias_value":"FQP6N5XRBVW3","created_at":"2026-07-05T09:25:23Z"},{"alias_kind":"pith_short_16","alias_value":"FQP6N5XRBVW3YFIT","created_at":"2026-07-05T09:25:23Z"},{"alias_kind":"pith_short_8","alias_value":"FQP6N5XR","created_at":"2026-07-05T09:25:23Z"}],"graph_snapshots":[{"event_id":"sha256:67f97de576085d24ae7c8b6db14ba62e25a8266e00dab9d121c82476729184f6","target":"graph","created_at":"2026-07-05T09:25:23Z","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/2403.07593/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents MinkUNeXt, an effective and efficient architecture for place-recognition from point clouds entirely based on the new 3D MinkNeXt Block, a residual block composed of 3D sparse convolutions that follows the philosophy established by recent Transformers but purely using simple 3D convolutions. Feature extraction is performed at different scales by a U-Net encoder-decoder network and the feature aggregation of those features into a single descriptor is carried out by a Generalized Mean Pooling (GeM). The proposed architecture demonstrates that it is possible to surpass the curr","authors_text":"A. Gil, A. Santo, C. Viegas, J.J. Cabrera, L. Pay\\'a","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-12T12:25:54Z","title":"MinkUNeXt: Point Cloud-based Large-scale Place Recognition using 3D Sparse Convolutions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.07593","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":"sha256:91b7030dc2f57a2b0a980efd05319eb272d161c4dac695a05c70c4c27744dd5a","target":"record","created_at":"2026-07-05T09:25:23Z","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":"bc71ced9046e17b74e9baa8190fbc008b8001e6cddfdec735a0cc0e4cbee74d6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-12T12:25:54Z","title_canon_sha256":"d69e79d54c46bfe5d53d06f4d78f9b1da3e256f3f55dd05e662854dfad786dca"},"schema_version":"1.0","source":{"id":"2403.07593","kind":"arxiv","version":2}},"canonical_sha256":"2c1fe6f6f10d6dbc15130540cfa9b7639e17cf30a6815a46495ba97420726032","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2c1fe6f6f10d6dbc15130540cfa9b7639e17cf30a6815a46495ba97420726032","first_computed_at":"2026-07-05T09:25:23.272294Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:25:23.272294Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DqMJ1TIJuq7orzxnH63s983qC6q7S+M9Wc7VLJgnNYp3a6z9RJu9GdYJ00HU3sEQsbTKk8l+SL16riddQShAAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:25:23.272739Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.07593","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:91b7030dc2f57a2b0a980efd05319eb272d161c4dac695a05c70c4c27744dd5a","sha256:67f97de576085d24ae7c8b6db14ba62e25a8266e00dab9d121c82476729184f6"],"state_sha256":"e28c5e2a8de12e8af6e211d022e9d9abef1c52234828e0632a75a7c71922a710"}