{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:JYD6FNMXV4TL3KS53EMN54S7J4","short_pith_number":"pith:JYD6FNMX","canonical_record":{"source":{"id":"2312.06876","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2023-12-11T22:54:44Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"572b95fb622fc9936bee039960e0265d3f0ffc3597de24914a182df462d87c8c","abstract_canon_sha256":"094dff1781ee836e2383c4526070a9d8db7beb3e7a4960f35ea83583b29b824a"},"schema_version":"1.0"},"canonical_sha256":"4e07e2b597af26bdaa5dd918def25f4f14d2d8066c30cfc50e49aeb3c01f3504","source":{"kind":"arxiv","id":"2312.06876","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.06876","created_at":"2026-07-05T07:22:54Z"},{"alias_kind":"arxiv_version","alias_value":"2312.06876v1","created_at":"2026-07-05T07:22:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.06876","created_at":"2026-07-05T07:22:54Z"},{"alias_kind":"pith_short_12","alias_value":"JYD6FNMXV4TL","created_at":"2026-07-05T07:22:54Z"},{"alias_kind":"pith_short_16","alias_value":"JYD6FNMXV4TL3KS5","created_at":"2026-07-05T07:22:54Z"},{"alias_kind":"pith_short_8","alias_value":"JYD6FNMX","created_at":"2026-07-05T07:22:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:JYD6FNMXV4TL3KS53EMN54S7J4","target":"record","payload":{"canonical_record":{"source":{"id":"2312.06876","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2023-12-11T22:54:44Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"572b95fb622fc9936bee039960e0265d3f0ffc3597de24914a182df462d87c8c","abstract_canon_sha256":"094dff1781ee836e2383c4526070a9d8db7beb3e7a4960f35ea83583b29b824a"},"schema_version":"1.0"},"canonical_sha256":"4e07e2b597af26bdaa5dd918def25f4f14d2d8066c30cfc50e49aeb3c01f3504","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:22:54.559911Z","signature_b64":"4LlDNmE/6symVNTFEm+YXGgKE0JOyIgsdFS59g4uqt6SeO7mgJkc5yYo0IAhXcOKAmXD8j8BQFKq6sh3+9hoDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4e07e2b597af26bdaa5dd918def25f4f14d2d8066c30cfc50e49aeb3c01f3504","last_reissued_at":"2026-07-05T07:22:54.559553Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:22:54.559553Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.06876","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":"2026-07-05T07:22:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0gfxLSTOFsAIsl2hV1punEkdGCr+V0hxvJ6JHO+DCXClaWEK2uBdzC7goJVtRMjcMVDnM1eXhTGLqV5mAdi6Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T06:40:30.523035Z"},"content_sha256":"13344d80297cc40cee306bfba413aa455c30333bd3ebd612899545507b046748","schema_version":"1.0","event_id":"sha256:13344d80297cc40cee306bfba413aa455c30333bd3ebd612899545507b046748"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:JYD6FNMXV4TL3KS53EMN54S7J4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Chiori Hori, Devesh K. Jha, Diego Romeres, Lingfeng Sun, Masayoshi Tomizuka, Radu Corcodel, Siddarth Jain, Xinghao Zhu","submitted_at":"2023-12-11T22:54:44Z","abstract_excerpt":"Designing robotic agents to perform open vocabulary tasks has been the long-standing goal in robotics and AI. Recently, Large Language Models (LLMs) have achieved impressive results in creating robotic agents for performing open vocabulary tasks. However, planning for these tasks in the presence of uncertainties is challenging as it requires \\enquote{chain-of-thought} reasoning, aggregating information from the environment, updating state estimates, and generating actions based on the updated state estimates. In this paper, we present an interactive planning technique for partially observable "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.06876","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/2312.06876/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":"2026-07-05T07:22:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8gv44y4EA4pY5jhqahfiIad2jlgArTAHlWqr3yDwoLr3Q+j4k0Upmah3hvt0F/wj8PiDRnDUPJ9Du7Qx1bJmCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T06:40:30.523561Z"},"content_sha256":"a187a63b1b9b66578473697a0cb33dffeb27a8cf118ab7a1bde8f836febbac5a","schema_version":"1.0","event_id":"sha256:a187a63b1b9b66578473697a0cb33dffeb27a8cf118ab7a1bde8f836febbac5a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JYD6FNMXV4TL3KS53EMN54S7J4/bundle.json","state_url":"https://pith.science/pith/JYD6FNMXV4TL3KS53EMN54S7J4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JYD6FNMXV4TL3KS53EMN54S7J4/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":"2026-08-12T06:40:30Z","links":{"resolver":"https://pith.science/pith/JYD6FNMXV4TL3KS53EMN54S7J4","bundle":"https://pith.science/pith/JYD6FNMXV4TL3KS53EMN54S7J4/bundle.json","state":"https://pith.science/pith/JYD6FNMXV4TL3KS53EMN54S7J4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JYD6FNMXV4TL3KS53EMN54S7J4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:JYD6FNMXV4TL3KS53EMN54S7J4","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":"094dff1781ee836e2383c4526070a9d8db7beb3e7a4960f35ea83583b29b824a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2023-12-11T22:54:44Z","title_canon_sha256":"572b95fb622fc9936bee039960e0265d3f0ffc3597de24914a182df462d87c8c"},"schema_version":"1.0","source":{"id":"2312.06876","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.06876","created_at":"2026-07-05T07:22:54Z"},{"alias_kind":"arxiv_version","alias_value":"2312.06876v1","created_at":"2026-07-05T07:22:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.06876","created_at":"2026-07-05T07:22:54Z"},{"alias_kind":"pith_short_12","alias_value":"JYD6FNMXV4TL","created_at":"2026-07-05T07:22:54Z"},{"alias_kind":"pith_short_16","alias_value":"JYD6FNMXV4TL3KS5","created_at":"2026-07-05T07:22:54Z"},{"alias_kind":"pith_short_8","alias_value":"JYD6FNMX","created_at":"2026-07-05T07:22:54Z"}],"graph_snapshots":[{"event_id":"sha256:a187a63b1b9b66578473697a0cb33dffeb27a8cf118ab7a1bde8f836febbac5a","target":"graph","created_at":"2026-07-05T07:22:54Z","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/2312.06876/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Designing robotic agents to perform open vocabulary tasks has been the long-standing goal in robotics and AI. Recently, Large Language Models (LLMs) have achieved impressive results in creating robotic agents for performing open vocabulary tasks. However, planning for these tasks in the presence of uncertainties is challenging as it requires \\enquote{chain-of-thought} reasoning, aggregating information from the environment, updating state estimates, and generating actions based on the updated state estimates. In this paper, we present an interactive planning technique for partially observable ","authors_text":"Chiori Hori, Devesh K. Jha, Diego Romeres, Lingfeng Sun, Masayoshi Tomizuka, Radu Corcodel, Siddarth Jain, Xinghao Zhu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2023-12-11T22:54:44Z","title":"Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.06876","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":"sha256:13344d80297cc40cee306bfba413aa455c30333bd3ebd612899545507b046748","target":"record","created_at":"2026-07-05T07:22:54Z","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":"094dff1781ee836e2383c4526070a9d8db7beb3e7a4960f35ea83583b29b824a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2023-12-11T22:54:44Z","title_canon_sha256":"572b95fb622fc9936bee039960e0265d3f0ffc3597de24914a182df462d87c8c"},"schema_version":"1.0","source":{"id":"2312.06876","kind":"arxiv","version":1}},"canonical_sha256":"4e07e2b597af26bdaa5dd918def25f4f14d2d8066c30cfc50e49aeb3c01f3504","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4e07e2b597af26bdaa5dd918def25f4f14d2d8066c30cfc50e49aeb3c01f3504","first_computed_at":"2026-07-05T07:22:54.559553Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:22:54.559553Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4LlDNmE/6symVNTFEm+YXGgKE0JOyIgsdFS59g4uqt6SeO7mgJkc5yYo0IAhXcOKAmXD8j8BQFKq6sh3+9hoDg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:22:54.559911Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.06876","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:13344d80297cc40cee306bfba413aa455c30333bd3ebd612899545507b046748","sha256:a187a63b1b9b66578473697a0cb33dffeb27a8cf118ab7a1bde8f836febbac5a"],"state_sha256":"3a46430037f5a0728a38107ce92d8f1256c7b485872a5ac192a80ef8c5441c0b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lB2adNJGO3Pxei6G78gbrznBaOOiadrJ79A/uLWrDvUyFwXR59G3i9nbvh9nm9GFZKMPwVl4zPy6HSHOAzoUAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T06:40:30.528775Z","bundle_sha256":"f2da21259ffc806ac37bc78a78c24892a77da57150f372e063ea1cde8229d6cc"}}