{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:J247F3TV7S7PJHMZBXXL2TA2R2","short_pith_number":"pith:J247F3TV","canonical_record":{"source":{"id":"2311.08206","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-14T14:42:28Z","cross_cats_sorted":["cs.AI","cs.RO"],"title_canon_sha256":"bdd62f4f6893eac32b89df13bc174bd36b43d9910196555705d1934a2dbee423","abstract_canon_sha256":"89b944097ec64a8a8bdc79a534f4a0c055735e0aa50d2f43fdcc6dca461c26e3"},"schema_version":"1.0"},"canonical_sha256":"4eb9f2ee75fcbef49d990deebd4c1a8e814955c920b030801bd6cc3fcc689421","source":{"kind":"arxiv","id":"2311.08206","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.08206","created_at":"2026-07-05T07:26:18Z"},{"alias_kind":"arxiv_version","alias_value":"2311.08206v2","created_at":"2026-07-05T07:26:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.08206","created_at":"2026-07-05T07:26:18Z"},{"alias_kind":"pith_short_12","alias_value":"J247F3TV7S7P","created_at":"2026-07-05T07:26:18Z"},{"alias_kind":"pith_short_16","alias_value":"J247F3TV7S7PJHMZ","created_at":"2026-07-05T07:26:18Z"},{"alias_kind":"pith_short_8","alias_value":"J247F3TV","created_at":"2026-07-05T07:26:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:J247F3TV7S7PJHMZBXXL2TA2R2","target":"record","payload":{"canonical_record":{"source":{"id":"2311.08206","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-14T14:42:28Z","cross_cats_sorted":["cs.AI","cs.RO"],"title_canon_sha256":"bdd62f4f6893eac32b89df13bc174bd36b43d9910196555705d1934a2dbee423","abstract_canon_sha256":"89b944097ec64a8a8bdc79a534f4a0c055735e0aa50d2f43fdcc6dca461c26e3"},"schema_version":"1.0"},"canonical_sha256":"4eb9f2ee75fcbef49d990deebd4c1a8e814955c920b030801bd6cc3fcc689421","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:26:18.571077Z","signature_b64":"jy4UJc17fx0Qd3edkaP9qFEoh7CA6V6AINiAFLyG+ChqxABT+W7ZrwEOUNg7kIFSB4PzFEGX8O89LCItSvLJAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4eb9f2ee75fcbef49d990deebd4c1a8e814955c920b030801bd6cc3fcc689421","last_reissued_at":"2026-07-05T07:26:18.570645Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:26:18.570645Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.08206","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:26:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kUv9JAQ/auNGaF4wfD0NkYqrPvcw6cGZg0ZwU5TdddHNjrFk3P22hRqT38+i4JgSwzz51aKJ90/iIMVFP5hICg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T01:04:00.461034Z"},"content_sha256":"07c4105274c1e4572c2eb46f788c0c160079a6106b4bfa1f4f72415b5ef01ec7","schema_version":"1.0","event_id":"sha256:07c4105274c1e4572c2eb46f788c0c160079a6106b4bfa1f4f72415b5ef01ec7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:J247F3TV7S7PJHMZBXXL2TA2R2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Human-Centric Autonomous Systems With LLMs for User Command Reasoning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.RO"],"primary_cat":"cs.CL","authors_text":"Ci Li, Daniel Sim\\~oes Marta, John Folkesson, Nazre Batool, Qingwen Zhang, Yi Yang","submitted_at":"2023-11-14T14:42:28Z","abstract_excerpt":"The evolution of autonomous driving has made remarkable advancements in recent years, evolving into a tangible reality. However, a human-centric large-scale adoption hinges on meeting a variety of multifaceted requirements. To ensure that the autonomous system meets the user's intent, it is essential to accurately discern and interpret user commands, especially in complex or emergency situations. To this end, we propose to leverage the reasoning capabilities of Large Language Models (LLMs) to infer system requirements from in-cabin users' commands. Through a series of experiments that include "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.08206","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/2311.08206/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":"2026-07-05T07:26:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xlr0TFZDFXd0BKT7j3GvmTQHntw19PC5komZiOhmMiEZVB8tEvRCy2VYs5beH6K6JjgX8IZHHjrKxM7XNbMxBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T01:04:00.461617Z"},"content_sha256":"4833e3e335eb44d54f8725d44b03d30b4db24bbfd784081d0f90e01278540ee0","schema_version":"1.0","event_id":"sha256:4833e3e335eb44d54f8725d44b03d30b4db24bbfd784081d0f90e01278540ee0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J247F3TV7S7PJHMZBXXL2TA2R2/bundle.json","state_url":"https://pith.science/pith/J247F3TV7S7PJHMZBXXL2TA2R2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J247F3TV7S7PJHMZBXXL2TA2R2/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":"2026-08-23T01:04:00Z","links":{"resolver":"https://pith.science/pith/J247F3TV7S7PJHMZBXXL2TA2R2","bundle":"https://pith.science/pith/J247F3TV7S7PJHMZBXXL2TA2R2/bundle.json","state":"https://pith.science/pith/J247F3TV7S7PJHMZBXXL2TA2R2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J247F3TV7S7PJHMZBXXL2TA2R2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:J247F3TV7S7PJHMZBXXL2TA2R2","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":"89b944097ec64a8a8bdc79a534f4a0c055735e0aa50d2f43fdcc6dca461c26e3","cross_cats_sorted":["cs.AI","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-14T14:42:28Z","title_canon_sha256":"bdd62f4f6893eac32b89df13bc174bd36b43d9910196555705d1934a2dbee423"},"schema_version":"1.0","source":{"id":"2311.08206","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.08206","created_at":"2026-07-05T07:26:18Z"},{"alias_kind":"arxiv_version","alias_value":"2311.08206v2","created_at":"2026-07-05T07:26:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.08206","created_at":"2026-07-05T07:26:18Z"},{"alias_kind":"pith_short_12","alias_value":"J247F3TV7S7P","created_at":"2026-07-05T07:26:18Z"},{"alias_kind":"pith_short_16","alias_value":"J247F3TV7S7PJHMZ","created_at":"2026-07-05T07:26:18Z"},{"alias_kind":"pith_short_8","alias_value":"J247F3TV","created_at":"2026-07-05T07:26:18Z"}],"graph_snapshots":[{"event_id":"sha256:4833e3e335eb44d54f8725d44b03d30b4db24bbfd784081d0f90e01278540ee0","target":"graph","created_at":"2026-07-05T07:26:18Z","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/2311.08206/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The evolution of autonomous driving has made remarkable advancements in recent years, evolving into a tangible reality. However, a human-centric large-scale adoption hinges on meeting a variety of multifaceted requirements. To ensure that the autonomous system meets the user's intent, it is essential to accurately discern and interpret user commands, especially in complex or emergency situations. To this end, we propose to leverage the reasoning capabilities of Large Language Models (LLMs) to infer system requirements from in-cabin users' commands. Through a series of experiments that include ","authors_text":"Ci Li, Daniel Sim\\~oes Marta, John Folkesson, Nazre Batool, Qingwen Zhang, Yi Yang","cross_cats":["cs.AI","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-14T14:42:28Z","title":"Human-Centric Autonomous Systems With LLMs for User Command Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.08206","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":"sha256:07c4105274c1e4572c2eb46f788c0c160079a6106b4bfa1f4f72415b5ef01ec7","target":"record","created_at":"2026-07-05T07:26:18Z","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":"89b944097ec64a8a8bdc79a534f4a0c055735e0aa50d2f43fdcc6dca461c26e3","cross_cats_sorted":["cs.AI","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-14T14:42:28Z","title_canon_sha256":"bdd62f4f6893eac32b89df13bc174bd36b43d9910196555705d1934a2dbee423"},"schema_version":"1.0","source":{"id":"2311.08206","kind":"arxiv","version":2}},"canonical_sha256":"4eb9f2ee75fcbef49d990deebd4c1a8e814955c920b030801bd6cc3fcc689421","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4eb9f2ee75fcbef49d990deebd4c1a8e814955c920b030801bd6cc3fcc689421","first_computed_at":"2026-07-05T07:26:18.570645Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:26:18.570645Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jy4UJc17fx0Qd3edkaP9qFEoh7CA6V6AINiAFLyG+ChqxABT+W7ZrwEOUNg7kIFSB4PzFEGX8O89LCItSvLJAw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:26:18.571077Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.08206","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:07c4105274c1e4572c2eb46f788c0c160079a6106b4bfa1f4f72415b5ef01ec7","sha256:4833e3e335eb44d54f8725d44b03d30b4db24bbfd784081d0f90e01278540ee0"],"state_sha256":"d5c8f1ff72b8a508b04a449a22f0470d1dfb51e4854c7fd8766236431136cd55"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r494zXKHfEbe+fr9/SQMhf5XPvy8bTopC4NKsKhRdemK/OBagwRwuQR3Jjl4nbCBDMjekLIUuTPFnRUCHQ7BAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T01:04:00.466288Z","bundle_sha256":"cac7781d050e35cead658b82fa734309019b050a07c114a5cb070b8fa5fe6746"}}