{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:D5CNEBH775L7BJKPKY6X6N3WZX","short_pith_number":"pith:D5CNEBH7","schema_version":"1.0","canonical_sha256":"1f44d204ffff57f0a54f563d7f3776cdc7ba431e41e08ad37306861185cb1921","source":{"kind":"arxiv","id":"2012.13615","version":2},"attestation_state":"computed","paper":{"title":"RoCUS: Robot Controller Understanding via Sampling","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Julie Shah, Nadia Figueroa, Serena Booth, Yilun Zhou","submitted_at":"2020-12-25T19:18:37Z","abstract_excerpt":"As robots are deployed in complex situations, engineers and end users must develop a holistic understanding of their behaviors, capabilities, and limitations. Some behaviors are directly optimized by the objective function. They often include success rate, completion time or energy consumption. Other behaviors -- e.g., collision avoidance, trajectory smoothness or motion legibility -- are typically emergent but equally important for safe and trustworthy deployment. Designing an objective which optimizes every aspect of robot behavior is hard. In this paper, we advocate for systematic analysis "},"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":"2012.13615","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2020-12-25T19:18:37Z","cross_cats_sorted":[],"title_canon_sha256":"85c55275160d77cf32d7aa6a11fd6eb9e415d9d9338efa4fa4b42bbf37eb3e59","abstract_canon_sha256":"2872b86be470e0a3ab750adefab10c4fcbc70321fcc7e65df3e620a09706d853"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:22:45.039337Z","signature_b64":"MhJOv5MvLoqP4S/MJgJsjbvVTQAB0CA31VmrCLZzKgSlqtM2mlG+9BItqLbcjk7DGC0wHjeWG0ALabFV95S7DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1f44d204ffff57f0a54f563d7f3776cdc7ba431e41e08ad37306861185cb1921","last_reissued_at":"2026-07-05T03:22:45.038786Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:22:45.038786Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"RoCUS: Robot Controller Understanding via Sampling","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Julie Shah, Nadia Figueroa, Serena Booth, Yilun Zhou","submitted_at":"2020-12-25T19:18:37Z","abstract_excerpt":"As robots are deployed in complex situations, engineers and end users must develop a holistic understanding of their behaviors, capabilities, and limitations. Some behaviors are directly optimized by the objective function. They often include success rate, completion time or energy consumption. Other behaviors -- e.g., collision avoidance, trajectory smoothness or motion legibility -- are typically emergent but equally important for safe and trustworthy deployment. Designing an objective which optimizes every aspect of robot behavior is hard. In this paper, we advocate for systematic analysis "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.13615","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/2012.13615/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":"2012.13615","created_at":"2026-07-05T03:22:45.038850+00:00"},{"alias_kind":"arxiv_version","alias_value":"2012.13615v2","created_at":"2026-07-05T03:22:45.038850+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.13615","created_at":"2026-07-05T03:22:45.038850+00:00"},{"alias_kind":"pith_short_12","alias_value":"D5CNEBH775L7","created_at":"2026-07-05T03:22:45.038850+00:00"},{"alias_kind":"pith_short_16","alias_value":"D5CNEBH775L7BJKP","created_at":"2026-07-05T03:22:45.038850+00:00"},{"alias_kind":"pith_short_8","alias_value":"D5CNEBH7","created_at":"2026-07-05T03:22:45.038850+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/D5CNEBH775L7BJKPKY6X6N3WZX","json":"https://pith.science/pith/D5CNEBH775L7BJKPKY6X6N3WZX.json","graph_json":"https://pith.science/api/pith-number/D5CNEBH775L7BJKPKY6X6N3WZX/graph.json","events_json":"https://pith.science/api/pith-number/D5CNEBH775L7BJKPKY6X6N3WZX/events.json","paper":"https://pith.science/paper/D5CNEBH7"},"agent_actions":{"view_html":"https://pith.science/pith/D5CNEBH775L7BJKPKY6X6N3WZX","download_json":"https://pith.science/pith/D5CNEBH775L7BJKPKY6X6N3WZX.json","view_paper":"https://pith.science/paper/D5CNEBH7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2012.13615&json=true","fetch_graph":"https://pith.science/api/pith-number/D5CNEBH775L7BJKPKY6X6N3WZX/graph.json","fetch_events":"https://pith.science/api/pith-number/D5CNEBH775L7BJKPKY6X6N3WZX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/D5CNEBH775L7BJKPKY6X6N3WZX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/D5CNEBH775L7BJKPKY6X6N3WZX/action/storage_attestation","attest_author":"https://pith.science/pith/D5CNEBH775L7BJKPKY6X6N3WZX/action/author_attestation","sign_citation":"https://pith.science/pith/D5CNEBH775L7BJKPKY6X6N3WZX/action/citation_signature","submit_replication":"https://pith.science/pith/D5CNEBH775L7BJKPKY6X6N3WZX/action/replication_record"}},"created_at":"2026-07-05T03:22:45.038850+00:00","updated_at":"2026-07-05T03:22:45.038850+00:00"}