{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:YZXLVCWUVU63EO47G4ZB7IJ73A","short_pith_number":"pith:YZXLVCWU","schema_version":"1.0","canonical_sha256":"c66eba8ad4ad3db23b9f37321fa13fd81cded978a3fbb143d8a7dbf2720cc8af","source":{"kind":"arxiv","id":"2212.00654","version":2},"attestation_state":"computed","paper":{"title":"maplab 2.0 -- A Modular and Multi-Modal Mapping Framework","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Andrei Cramariuc, Cesar Cadena, Florian Tschopp, Juan Nieto, Lukas Bernreiter, Marius Fehr, Roland Siegwart, Victor Reijgwart","submitted_at":"2022-12-01T16:59:15Z","abstract_excerpt":"Integration of multiple sensor modalities and deep learning into Simultaneous Localization And Mapping (SLAM) systems are areas of significant interest in current research. Multi-modality is a stepping stone towards achieving robustness in challenging environments and interoperability of heterogeneous multi-robot systems with varying sensor setups. With maplab 2.0, we provide a versatile open-source platform that facilitates developing, testing, and integrating new modules and features into a fully-fledged SLAM system. Through extensive experiments, we show that maplab 2.0's accuracy is compar"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2212.00654","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2022-12-01T16:59:15Z","cross_cats_sorted":[],"title_canon_sha256":"17db84fdee117b700513000d71bdc06ea7c12f62eb0d85b26a587ccffabacb61","abstract_canon_sha256":"7b53cde80c742b6c86165252307f7a2beab02f86a4f79048d0eb29c8623e4bfc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:30:33.289268Z","signature_b64":"QMU0Mw6BS8H4xIeFql+bbLnT7Jw2XnoHUDpFR5Ut6rRTuslHQcGPxbp2mbqo/8649/X+1wQYIIy/AdvsurbsBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c66eba8ad4ad3db23b9f37321fa13fd81cded978a3fbb143d8a7dbf2720cc8af","last_reissued_at":"2026-07-05T05:30:33.288874Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:30:33.288874Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"maplab 2.0 -- A Modular and Multi-Modal Mapping Framework","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Andrei Cramariuc, Cesar Cadena, Florian Tschopp, Juan Nieto, Lukas Bernreiter, Marius Fehr, Roland Siegwart, Victor Reijgwart","submitted_at":"2022-12-01T16:59:15Z","abstract_excerpt":"Integration of multiple sensor modalities and deep learning into Simultaneous Localization And Mapping (SLAM) systems are areas of significant interest in current research. Multi-modality is a stepping stone towards achieving robustness in challenging environments and interoperability of heterogeneous multi-robot systems with varying sensor setups. With maplab 2.0, we provide a versatile open-source platform that facilitates developing, testing, and integrating new modules and features into a fully-fledged SLAM system. Through extensive experiments, we show that maplab 2.0's accuracy is compar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.00654","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2212.00654/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2212.00654","created_at":"2026-07-05T05:30:33.288928+00:00"},{"alias_kind":"arxiv_version","alias_value":"2212.00654v2","created_at":"2026-07-05T05:30:33.288928+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.00654","created_at":"2026-07-05T05:30:33.288928+00:00"},{"alias_kind":"pith_short_12","alias_value":"YZXLVCWUVU63","created_at":"2026-07-05T05:30:33.288928+00:00"},{"alias_kind":"pith_short_16","alias_value":"YZXLVCWUVU63EO47","created_at":"2026-07-05T05:30:33.288928+00:00"},{"alias_kind":"pith_short_8","alias_value":"YZXLVCWU","created_at":"2026-07-05T05:30:33.288928+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/YZXLVCWUVU63EO47G4ZB7IJ73A","json":"https://pith.science/pith/YZXLVCWUVU63EO47G4ZB7IJ73A.json","graph_json":"https://pith.science/api/pith-number/YZXLVCWUVU63EO47G4ZB7IJ73A/graph.json","events_json":"https://pith.science/api/pith-number/YZXLVCWUVU63EO47G4ZB7IJ73A/events.json","paper":"https://pith.science/paper/YZXLVCWU"},"agent_actions":{"view_html":"https://pith.science/pith/YZXLVCWUVU63EO47G4ZB7IJ73A","download_json":"https://pith.science/pith/YZXLVCWUVU63EO47G4ZB7IJ73A.json","view_paper":"https://pith.science/paper/YZXLVCWU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2212.00654&json=true","fetch_graph":"https://pith.science/api/pith-number/YZXLVCWUVU63EO47G4ZB7IJ73A/graph.json","fetch_events":"https://pith.science/api/pith-number/YZXLVCWUVU63EO47G4ZB7IJ73A/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YZXLVCWUVU63EO47G4ZB7IJ73A/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YZXLVCWUVU63EO47G4ZB7IJ73A/action/storage_attestation","attest_author":"https://pith.science/pith/YZXLVCWUVU63EO47G4ZB7IJ73A/action/author_attestation","sign_citation":"https://pith.science/pith/YZXLVCWUVU63EO47G4ZB7IJ73A/action/citation_signature","submit_replication":"https://pith.science/pith/YZXLVCWUVU63EO47G4ZB7IJ73A/action/replication_record"}},"created_at":"2026-07-05T05:30:33.288928+00:00","updated_at":"2026-07-05T05:30:33.288928+00:00"}