{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NEE42RKAFFI2C4QIWECX34BE5B","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":"85c95c242944a2a9caba39467969e9cd0e9a9e4eda1ecd9fef68c21e7f285500","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-07-07T21:58:28Z","title_canon_sha256":"dd5e127d08709eb51588a76cdfacd123a8a2894b9f074bf7f0695dd4a2877c27"},"schema_version":"1.0","source":{"id":"2307.03853","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.03853","created_at":"2026-07-05T06:29:04Z"},{"alias_kind":"arxiv_version","alias_value":"2307.03853v1","created_at":"2026-07-05T06:29:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.03853","created_at":"2026-07-05T06:29:04Z"},{"alias_kind":"pith_short_12","alias_value":"NEE42RKAFFI2","created_at":"2026-07-05T06:29:04Z"},{"alias_kind":"pith_short_16","alias_value":"NEE42RKAFFI2C4QI","created_at":"2026-07-05T06:29:04Z"},{"alias_kind":"pith_short_8","alias_value":"NEE42RKA","created_at":"2026-07-05T06:29:04Z"}],"graph_snapshots":[{"event_id":"sha256:817acd35b16263af63a7e35fe57343a52ee0df4cbce0c7665aa9ea9765c478e3","target":"graph","created_at":"2026-07-05T06:29:04Z","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/2307.03853/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in machine learning models allowed robots to identify objects on a perceptual nonsymbolic level (e.g., through sensor fusion and natural language understanding). However, these primarily black-box learning models still lack interpretation and transferability and require high data and computational demand. An alternative solution is to teach a robot on both perceptual nonsymbolic and conceptual symbolic levels through hybrid neurosymbolic learning approaches with expert feedback (i.e., human-in-the-loop learning). This work proposes a concept for this user-centered hybrid learni","authors_text":"Amr Gomaa, Antonio Kr\\\"uger, Bilal Mahdy, Frank Kirchner, Michael Feld, Niko Kleer","cross_cats":["cs.AI","cs.HC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-07-07T21:58:28Z","title":"Teach Me How to Learn: A Perspective Review towards User-centered Neuro-symbolic Learning for Robotic Surgical Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.03853","kind":"arxiv","version":1},"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":"sha256:033d0488fda3bf96a8929e72824aa6f61833513af2e390efa9f8cdac645bf13a","target":"record","created_at":"2026-07-05T06:29:04Z","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":"85c95c242944a2a9caba39467969e9cd0e9a9e4eda1ecd9fef68c21e7f285500","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-07-07T21:58:28Z","title_canon_sha256":"dd5e127d08709eb51588a76cdfacd123a8a2894b9f074bf7f0695dd4a2877c27"},"schema_version":"1.0","source":{"id":"2307.03853","kind":"arxiv","version":1}},"canonical_sha256":"6909cd45402951a17208b1057df024e8760591daeb4b7a2ba7eed08762017d49","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6909cd45402951a17208b1057df024e8760591daeb4b7a2ba7eed08762017d49","first_computed_at":"2026-07-05T06:29:04.635535Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:29:04.635535Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"90npyi37EUqCyE+jlx/m1wT9Ke93+y0Lp7ppGLJuRpa/TFySxXtDJHi7JY3VXtX91NJ7cdJwoTg+63g7dM6kBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:29:04.635989Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.03853","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:033d0488fda3bf96a8929e72824aa6f61833513af2e390efa9f8cdac645bf13a","sha256:817acd35b16263af63a7e35fe57343a52ee0df4cbce0c7665aa9ea9765c478e3"],"state_sha256":"265a2765adb54483804f9b50046375ae59d8ed8a1a201e68fa72319b393d8118"}