{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:HLTA2M6EVQGE5N6SB3VHM2N75L","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":"64a2c53d3071a4f714275120a61551c745a2a3cf5ae5e2c192a21315219f137c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-02-03T16:27:34Z","title_canon_sha256":"c2b4e28595a9689dca88a27071930209f1d06a4fbec0d68a891f520541ebb724"},"schema_version":"1.0","source":{"id":"2302.01838","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.01838","created_at":"2026-07-05T05:51:00Z"},{"alias_kind":"arxiv_version","alias_value":"2302.01838v2","created_at":"2026-07-05T05:51:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.01838","created_at":"2026-07-05T05:51:00Z"},{"alias_kind":"pith_short_12","alias_value":"HLTA2M6EVQGE","created_at":"2026-07-05T05:51:00Z"},{"alias_kind":"pith_short_16","alias_value":"HLTA2M6EVQGE5N6S","created_at":"2026-07-05T05:51:00Z"},{"alias_kind":"pith_short_8","alias_value":"HLTA2M6E","created_at":"2026-07-05T05:51:00Z"}],"graph_snapshots":[{"event_id":"sha256:bdbfbecc2461f84ce2cb827d02bec39778b465488e0ddc20eaed9052db568f69","target":"graph","created_at":"2026-07-05T05:51:00Z","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/2302.01838/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present vMAP, an object-level dense SLAM system using neural field representations. Each object is represented by a small MLP, enabling efficient, watertight object modelling without the need for 3D priors. As an RGB-D camera browses a scene with no prior information, vMAP detects object instances on-the-fly, and dynamically adds them to its map. Specifically, thanks to the power of vectorised training, vMAP can optimise as many as 50 individual objects in a single scene, with an extremely efficient training speed of 5Hz map update. We experimentally demonstrate significantly improved scene","authors_text":"Andrew J. Davison, Marwan Taher, Shikun Liu, Xin Kong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-02-03T16:27:34Z","title":"vMAP: Vectorised Object Mapping for Neural Field SLAM"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.01838","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":"sha256:180588eb1192ec4b1e4c742fd27d830aee37c00245a9fc6547b598086bab87de","target":"record","created_at":"2026-07-05T05:51:00Z","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":"64a2c53d3071a4f714275120a61551c745a2a3cf5ae5e2c192a21315219f137c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-02-03T16:27:34Z","title_canon_sha256":"c2b4e28595a9689dca88a27071930209f1d06a4fbec0d68a891f520541ebb724"},"schema_version":"1.0","source":{"id":"2302.01838","kind":"arxiv","version":2}},"canonical_sha256":"3ae60d33c4ac0c4eb7d20eea7669bfeaf7f22463cd2b5d30e19b529eddc5e595","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3ae60d33c4ac0c4eb7d20eea7669bfeaf7f22463cd2b5d30e19b529eddc5e595","first_computed_at":"2026-07-05T05:51:00.912546Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:51:00.912546Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0PGRhtsd73HbbVfFbd/3cVohBDRaeTlXDrNEkoOVXDLG4jvCRv1y9IzJMtYNDKn2mPK8DiLHvBwRNtZmCgCqAg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:51:00.912898Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.01838","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:180588eb1192ec4b1e4c742fd27d830aee37c00245a9fc6547b598086bab87de","sha256:bdbfbecc2461f84ce2cb827d02bec39778b465488e0ddc20eaed9052db568f69"],"state_sha256":"8b13260f2a75b9ba72327938cfe440d5f10032088164d3e7bb025f4c3630c1c1"}