{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SREEGSSNWB5YR66KLWNM2OPWUC","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":"c0e49968f41b12adb17d936dddc67a95a0de974974dd6895e384af98dde177b9","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-05-21T23:12:03Z","title_canon_sha256":"5c89ad01b625f6558e676ce92eec01ba9133b22a56479e2610f5141941cd20d6"},"schema_version":"1.0","source":{"id":"2405.13245","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.13245","created_at":"2026-07-05T08:35:46Z"},{"alias_kind":"arxiv_version","alias_value":"2405.13245v2","created_at":"2026-07-05T08:35:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.13245","created_at":"2026-07-05T08:35:46Z"},{"alias_kind":"pith_short_12","alias_value":"SREEGSSNWB5Y","created_at":"2026-07-05T08:35:46Z"},{"alias_kind":"pith_short_16","alias_value":"SREEGSSNWB5YR66K","created_at":"2026-07-05T08:35:46Z"},{"alias_kind":"pith_short_8","alias_value":"SREEGSSN","created_at":"2026-07-05T08:35:46Z"}],"graph_snapshots":[{"event_id":"sha256:a7115b88615a660195c283775a34b8c470fa5f2c6dabc0f259bc6db602856030","target":"graph","created_at":"2026-07-05T08:35:46Z","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/2405.13245/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With large language models, robots can understand language more flexibly and more capable than ever before. This survey reviews and situates recent literature into a spectrum with two poles: 1) mapping between language and some manually defined formal representation of meaning, and 2) mapping between language and high-dimensional vector spaces that translate directly to low-level robot policy. Using a formal representation allows the meaning of the language to be precisely represented, limits the size of the learning problem, and leads to a framework for interpretability and formal safety guar","authors_text":"David Watkins, Jason Xinyu Liu, Raymond Mooney, Stefanie Tellex, Vanya Cohen","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-05-21T23:12:03Z","title":"A Survey of Robotic Language Grounding: Tradeoffs between Symbols and Embeddings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.13245","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":"sha256:2fa4d0af286645969e1135acb5156c05e6b2bb4c37edf69ede1208684d1a8247","target":"record","created_at":"2026-07-05T08:35:46Z","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":"c0e49968f41b12adb17d936dddc67a95a0de974974dd6895e384af98dde177b9","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-05-21T23:12:03Z","title_canon_sha256":"5c89ad01b625f6558e676ce92eec01ba9133b22a56479e2610f5141941cd20d6"},"schema_version":"1.0","source":{"id":"2405.13245","kind":"arxiv","version":2}},"canonical_sha256":"9448434a4db07b88fbca5d9acd39f6a0adcb6c367235310bc8215632a1a25c4e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9448434a4db07b88fbca5d9acd39f6a0adcb6c367235310bc8215632a1a25c4e","first_computed_at":"2026-07-05T08:35:46.287856Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:35:46.287856Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9Uu/08GIGogsVgnAQXKkgCxYYlUp6SIqAD248Nlk5ghrQjy8mV5CIk91FrRcaLjZYdXtRHUCiIuzHckflcE+Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:35:46.288280Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.13245","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2fa4d0af286645969e1135acb5156c05e6b2bb4c37edf69ede1208684d1a8247","sha256:a7115b88615a660195c283775a34b8c470fa5f2c6dabc0f259bc6db602856030"],"state_sha256":"53820bfe5b44c7dd6c57d4f556e1f73f016b973cd38c459f54e48d6a94568544"}