{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:PG4GKSBWV4TOEDWIABDVEBOZKF","short_pith_number":"pith:PG4GKSBW","canonical_record":{"source":{"id":"2402.04206","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2024-02-06T18:01:29Z","cross_cats_sorted":[],"title_canon_sha256":"54ef8850c716e24be73b6463e633f832faed3cc0ea1540acaee4b513ac11f910","abstract_canon_sha256":"74c351d0b94697958476aa666d6a28a085a3bab6fecaba05426e9c1fdb762678"},"schema_version":"1.0"},"canonical_sha256":"79b8654836af26e20ec800475205d95179100cf1b36fb3af5aa9e08df832bfd7","source":{"kind":"arxiv","id":"2402.04206","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.04206","created_at":"2026-07-05T07:42:04Z"},{"alias_kind":"arxiv_version","alias_value":"2402.04206v1","created_at":"2026-07-05T07:42:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.04206","created_at":"2026-07-05T07:42:04Z"},{"alias_kind":"pith_short_12","alias_value":"PG4GKSBWV4TO","created_at":"2026-07-05T07:42:04Z"},{"alias_kind":"pith_short_16","alias_value":"PG4GKSBWV4TOEDWI","created_at":"2026-07-05T07:42:04Z"},{"alias_kind":"pith_short_8","alias_value":"PG4GKSBW","created_at":"2026-07-05T07:42:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:PG4GKSBWV4TOEDWIABDVEBOZKF","target":"record","payload":{"canonical_record":{"source":{"id":"2402.04206","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2024-02-06T18:01:29Z","cross_cats_sorted":[],"title_canon_sha256":"54ef8850c716e24be73b6463e633f832faed3cc0ea1540acaee4b513ac11f910","abstract_canon_sha256":"74c351d0b94697958476aa666d6a28a085a3bab6fecaba05426e9c1fdb762678"},"schema_version":"1.0"},"canonical_sha256":"79b8654836af26e20ec800475205d95179100cf1b36fb3af5aa9e08df832bfd7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:42:04.922771Z","signature_b64":"otSQ6Ui0LHTFjLW19y+zFGffaMy56Ao1gufTDj9hjUJkJdwP/SMnmdY5Yumh1LJllhXZA9qYPMxSdl9z98cnDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"79b8654836af26e20ec800475205d95179100cf1b36fb3af5aa9e08df832bfd7","last_reissued_at":"2026-07-05T07:42:04.922292Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:42:04.922292Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.04206","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:42:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dr1CHbvxiF2Q7gBXqZycILQSgYpNfg9WzmCS72Z6LlRhLk/PY/vT93dvSz8dq++hTAC1SrvPe7bVRGGaL2Y5DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T04:03:12.137119Z"},"content_sha256":"855ad62dadc0398b14f3ccbc066ce5f0a5d4c0d49e7c9c5f7662932da12c47b8","schema_version":"1.0","event_id":"sha256:855ad62dadc0398b14f3ccbc066ce5f0a5d4c0d49e7c9c5f7662932da12c47b8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:PG4GKSBWV4TOEDWIABDVEBOZKF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Explaining Autonomy: Enhancing Human-Robot Interaction through Explanation Generation with Large Language Models","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"\\'Angel M. Guerrero-Higueras, David Sobr\\'in-Hidalgo, Francisco J. Rodr\\'iguez-Lera, Miguel A. Gonz\\'alez-Santamarta, Vicente Matell\\'an-Olivera","submitted_at":"2024-02-06T18:01:29Z","abstract_excerpt":"This paper introduces a system designed to generate explanations for the actions performed by an autonomous robot in Human-Robot Interaction (HRI). Explainability in robotics, encapsulated within the concept of an eXplainable Autonomous Robot (XAR), is a growing research area. The work described in this paper aims to take advantage of the capabilities of Large Language Models (LLMs) in performing natural language processing tasks. This study focuses on the possibility of generating explanations using such models in combination with a Retrieval Augmented Generation (RAG) method to interpret dat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.04206","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/2402.04206/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:42:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lzdP8QRw3ASGkpA480DE1wQOTg5oFL8KAf/1b/nSutBA7x55m1YS384w9rRJnTftx9dGAgq1aosEDVZJV1FADA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T04:03:12.138084Z"},"content_sha256":"f57b871349b7ca3e5ece03e4218658f35f44521d5c88b82bb07f7503ae3f3a0a","schema_version":"1.0","event_id":"sha256:f57b871349b7ca3e5ece03e4218658f35f44521d5c88b82bb07f7503ae3f3a0a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PG4GKSBWV4TOEDWIABDVEBOZKF/bundle.json","state_url":"https://pith.science/pith/PG4GKSBWV4TOEDWIABDVEBOZKF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PG4GKSBWV4TOEDWIABDVEBOZKF/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-09T04:03:12Z","links":{"resolver":"https://pith.science/pith/PG4GKSBWV4TOEDWIABDVEBOZKF","bundle":"https://pith.science/pith/PG4GKSBWV4TOEDWIABDVEBOZKF/bundle.json","state":"https://pith.science/pith/PG4GKSBWV4TOEDWIABDVEBOZKF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PG4GKSBWV4TOEDWIABDVEBOZKF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PG4GKSBWV4TOEDWIABDVEBOZKF","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":"74c351d0b94697958476aa666d6a28a085a3bab6fecaba05426e9c1fdb762678","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2024-02-06T18:01:29Z","title_canon_sha256":"54ef8850c716e24be73b6463e633f832faed3cc0ea1540acaee4b513ac11f910"},"schema_version":"1.0","source":{"id":"2402.04206","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.04206","created_at":"2026-07-05T07:42:04Z"},{"alias_kind":"arxiv_version","alias_value":"2402.04206v1","created_at":"2026-07-05T07:42:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.04206","created_at":"2026-07-05T07:42:04Z"},{"alias_kind":"pith_short_12","alias_value":"PG4GKSBWV4TO","created_at":"2026-07-05T07:42:04Z"},{"alias_kind":"pith_short_16","alias_value":"PG4GKSBWV4TOEDWI","created_at":"2026-07-05T07:42:04Z"},{"alias_kind":"pith_short_8","alias_value":"PG4GKSBW","created_at":"2026-07-05T07:42:04Z"}],"graph_snapshots":[{"event_id":"sha256:f57b871349b7ca3e5ece03e4218658f35f44521d5c88b82bb07f7503ae3f3a0a","target":"graph","created_at":"2026-07-05T07:42:04Z","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/2402.04206/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper introduces a system designed to generate explanations for the actions performed by an autonomous robot in Human-Robot Interaction (HRI). Explainability in robotics, encapsulated within the concept of an eXplainable Autonomous Robot (XAR), is a growing research area. The work described in this paper aims to take advantage of the capabilities of Large Language Models (LLMs) in performing natural language processing tasks. This study focuses on the possibility of generating explanations using such models in combination with a Retrieval Augmented Generation (RAG) method to interpret dat","authors_text":"\\'Angel M. Guerrero-Higueras, David Sobr\\'in-Hidalgo, Francisco J. Rodr\\'iguez-Lera, Miguel A. Gonz\\'alez-Santamarta, Vicente Matell\\'an-Olivera","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2024-02-06T18:01:29Z","title":"Explaining Autonomy: Enhancing Human-Robot Interaction through Explanation Generation with Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.04206","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":"sha256:855ad62dadc0398b14f3ccbc066ce5f0a5d4c0d49e7c9c5f7662932da12c47b8","target":"record","created_at":"2026-07-05T07:42:04Z","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":"74c351d0b94697958476aa666d6a28a085a3bab6fecaba05426e9c1fdb762678","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2024-02-06T18:01:29Z","title_canon_sha256":"54ef8850c716e24be73b6463e633f832faed3cc0ea1540acaee4b513ac11f910"},"schema_version":"1.0","source":{"id":"2402.04206","kind":"arxiv","version":1}},"canonical_sha256":"79b8654836af26e20ec800475205d95179100cf1b36fb3af5aa9e08df832bfd7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"79b8654836af26e20ec800475205d95179100cf1b36fb3af5aa9e08df832bfd7","first_computed_at":"2026-07-05T07:42:04.922292Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:42:04.922292Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"otSQ6Ui0LHTFjLW19y+zFGffaMy56Ao1gufTDj9hjUJkJdwP/SMnmdY5Yumh1LJllhXZA9qYPMxSdl9z98cnDA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:42:04.922771Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.04206","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:855ad62dadc0398b14f3ccbc066ce5f0a5d4c0d49e7c9c5f7662932da12c47b8","sha256:f57b871349b7ca3e5ece03e4218658f35f44521d5c88b82bb07f7503ae3f3a0a"],"state_sha256":"929ebcc4bbc32878a433c824d0a69605ca9f03f4ee70351fcc99fcee2c7b23c8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bDCHFEc0B5q775HWfV7pvX8qy2k1PolMY3rM/Y3BdhnvcjMXBmKXfyDP6wqjAD9tLbJrt+PsIA/7PxvB5wrWDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T04:03:12.193646Z","bundle_sha256":"9acfbfbb0cd1822137ab82ea1dc9005932a477b9089805d24bd99834a5c0d09c"}}