{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:YRBSZSZIQ4IANNNLGUEFULSQFA","short_pith_number":"pith:YRBSZSZI","schema_version":"1.0","canonical_sha256":"c4432ccb28871006b5ab35085a2e5028245f53409b668898b51aece4faf4a12d","source":{"kind":"arxiv","id":"2404.01702","version":1},"attestation_state":"computed","paper":{"title":"Tell and show: Combining multiple modalities to communicate manipulation tasks to a robot","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.HC","authors_text":"Karla Stepanova, Petr Vanc, Radoslav Skoviera","submitted_at":"2024-04-02T07:10:16Z","abstract_excerpt":"As human-robot collaboration is becoming more widespread, there is a need for a more natural way of communicating with the robot. This includes combining data from several modalities together with the context of the situation and background knowledge. Current approaches to communication typically rely only on a single modality or are often very rigid and not robust to missing, misaligned, or noisy data. In this paper, we propose a novel method that takes inspiration from sensor fusion approaches to combine uncertain information from multiple modalities and enhance it with situational awareness"},"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":"2404.01702","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2024-04-02T07:10:16Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"60641ece55a02fdd383810d57e89c3da52663e1da04562cfef9eec6f2d7fd5eb","abstract_canon_sha256":"feef5f5abfe34b5e139137e01016becd47eb241674c1a0fc0f9b535980c1b662"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:03:18.422961Z","signature_b64":"eS4N9Zx9Q5PUwUIn6CmlkZagn0eV1l+HLIME8ino9vwroBcjjSGoHaJRZ9gyKyWWxa5QG4UjIrzzHluOdt2zCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c4432ccb28871006b5ab35085a2e5028245f53409b668898b51aece4faf4a12d","last_reissued_at":"2026-07-05T08:03:18.422513Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:03:18.422513Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Tell and show: Combining multiple modalities to communicate manipulation tasks to a robot","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.HC","authors_text":"Karla Stepanova, Petr Vanc, Radoslav Skoviera","submitted_at":"2024-04-02T07:10:16Z","abstract_excerpt":"As human-robot collaboration is becoming more widespread, there is a need for a more natural way of communicating with the robot. This includes combining data from several modalities together with the context of the situation and background knowledge. Current approaches to communication typically rely only on a single modality or are often very rigid and not robust to missing, misaligned, or noisy data. In this paper, we propose a novel method that takes inspiration from sensor fusion approaches to combine uncertain information from multiple modalities and enhance it with situational awareness"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.01702","kind":"arxiv","version":1},"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/2404.01702/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":"2404.01702","created_at":"2026-07-05T08:03:18.422570+00:00"},{"alias_kind":"arxiv_version","alias_value":"2404.01702v1","created_at":"2026-07-05T08:03:18.422570+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.01702","created_at":"2026-07-05T08:03:18.422570+00:00"},{"alias_kind":"pith_short_12","alias_value":"YRBSZSZIQ4IA","created_at":"2026-07-05T08:03:18.422570+00:00"},{"alias_kind":"pith_short_16","alias_value":"YRBSZSZIQ4IANNNL","created_at":"2026-07-05T08:03:18.422570+00:00"},{"alias_kind":"pith_short_8","alias_value":"YRBSZSZI","created_at":"2026-07-05T08:03:18.422570+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2605.08330","citing_title":"Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning","ref_index":22,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/YRBSZSZIQ4IANNNLGUEFULSQFA","json":"https://pith.science/pith/YRBSZSZIQ4IANNNLGUEFULSQFA.json","graph_json":"https://pith.science/api/pith-number/YRBSZSZIQ4IANNNLGUEFULSQFA/graph.json","events_json":"https://pith.science/api/pith-number/YRBSZSZIQ4IANNNLGUEFULSQFA/events.json","paper":"https://pith.science/paper/YRBSZSZI"},"agent_actions":{"view_html":"https://pith.science/pith/YRBSZSZIQ4IANNNLGUEFULSQFA","download_json":"https://pith.science/pith/YRBSZSZIQ4IANNNLGUEFULSQFA.json","view_paper":"https://pith.science/paper/YRBSZSZI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2404.01702&json=true","fetch_graph":"https://pith.science/api/pith-number/YRBSZSZIQ4IANNNLGUEFULSQFA/graph.json","fetch_events":"https://pith.science/api/pith-number/YRBSZSZIQ4IANNNLGUEFULSQFA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YRBSZSZIQ4IANNNLGUEFULSQFA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YRBSZSZIQ4IANNNLGUEFULSQFA/action/storage_attestation","attest_author":"https://pith.science/pith/YRBSZSZIQ4IANNNLGUEFULSQFA/action/author_attestation","sign_citation":"https://pith.science/pith/YRBSZSZIQ4IANNNLGUEFULSQFA/action/citation_signature","submit_replication":"https://pith.science/pith/YRBSZSZIQ4IANNNLGUEFULSQFA/action/replication_record"}},"created_at":"2026-07-05T08:03:18.422570+00:00","updated_at":"2026-07-05T08:03:18.422570+00:00"}