{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LQSEZ52C5B5NCH3HMPDIEJHBPN","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":"968ac5e25da9d7c5f7b4d9a53281ef31574a33877cf281a95ddcc5f5aa086c47","cross_cats_sorted":["cs.CL","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-10-18T10:16:45Z","title_canon_sha256":"d95da4b7ee33c66210ff6685ff2d38e35c5c5373f4284510cba305efd503471c"},"schema_version":"1.0","source":{"id":"2510.16435","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.16435","created_at":"2026-05-26T01:02:28Z"},{"alias_kind":"arxiv_version","alias_value":"2510.16435v2","created_at":"2026-05-26T01:02:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.16435","created_at":"2026-05-26T01:02:28Z"},{"alias_kind":"pith_short_12","alias_value":"LQSEZ52C5B5N","created_at":"2026-05-26T01:02:28Z"},{"alias_kind":"pith_short_16","alias_value":"LQSEZ52C5B5NCH3H","created_at":"2026-05-26T01:02:28Z"},{"alias_kind":"pith_short_8","alias_value":"LQSEZ52C","created_at":"2026-05-26T01:02:28Z"}],"graph_snapshots":[{"event_id":"sha256:d12a7042ac8f6ff371b063e8197598cd418182763c22d34f7cc6b33f865fbe6b","target":"graph","created_at":"2026-05-26T01:02:28Z","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/2510.16435/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the growing use of large language models and conversational interfaces in human-robot interaction, robots' ability to answer user questions is more important than ever. We therefore introduce a dataset of 1,893 user questions for household robots, collected from 100 participants and organized into 12 categories and 70 subcategories. Most work in explainable robotics focuses on why-questions. In contrast, our dataset provides a wide variety of questions, from questions about simple execution details to questions about how the robot would act in hypothetical scenarios -- thus giving robotic","authors_text":"Andrew Coles, Gerard Canal, Lennart Wachowiak, Oya Celiktutan","cross_cats":["cs.CL","cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-10-18T10:16:45Z","title":"What Questions Should Robots Be Able to Answer? A Dataset of User Questions for Explainable Robotics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.16435","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":"sha256:666011456997119dfab666a4301cb9970172f9f8d3ee0983f1c3e82e4cf985ca","target":"record","created_at":"2026-05-26T01:02:28Z","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":"968ac5e25da9d7c5f7b4d9a53281ef31574a33877cf281a95ddcc5f5aa086c47","cross_cats_sorted":["cs.CL","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-10-18T10:16:45Z","title_canon_sha256":"d95da4b7ee33c66210ff6685ff2d38e35c5c5373f4284510cba305efd503471c"},"schema_version":"1.0","source":{"id":"2510.16435","kind":"arxiv","version":2}},"canonical_sha256":"5c244cf742e87ad11f6763c68224e17b443c7a8aa35a9ce36715ec26eab1ae3a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c244cf742e87ad11f6763c68224e17b443c7a8aa35a9ce36715ec26eab1ae3a","first_computed_at":"2026-05-26T01:02:28.936252Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T01:02:28.936252Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SCFFxbvMK3WNxo8o7/PZrJ3vF4Rr+kMB7znpMzzAh5R1YYZozDG9iQM8Tu8Q21ZpX5LSr50sIHj6sj5JVAp2CQ==","signature_status":"signed_v1","signed_at":"2026-05-26T01:02:28.936989Z","signed_message":"canonical_sha256_bytes"},"source_id":"2510.16435","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:666011456997119dfab666a4301cb9970172f9f8d3ee0983f1c3e82e4cf985ca","sha256:d12a7042ac8f6ff371b063e8197598cd418182763c22d34f7cc6b33f865fbe6b"],"state_sha256":"da0a373de5d91aa1ce590090dd5ff80febb79147f17c60f9dfcceedcd9706aa3"}