Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-12T01:20:47.223534Z
Paper Citation Record · LEDGER
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning
As of 4 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2605.08330.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
29 of 29 outbound references displayed
- verified exact9
- verified fuzzy20
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 658212b5-bd67-4d09-a1c7-16174bbf049c · outbound
This paper cites A survey of communicating robot learning during human-robot interaction.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning A survey of communicating robot learning during human-robot interaction
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T07:35:02.311057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e8a98cb3-067d-4f1d-89da-e2759730ae5b · outbound
This paper cites Robots that use language.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Robots that use language
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T07:35:02.279561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ae55d061-64b4-453c-a25f-42fe8baf5f2f · outbound
This paper cites Tell me dave: Context- sensitive grounding of natural language to manipulation instructions.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Tell me dave: Context- sensitive grounding of natural language to manipulation instructions
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T07:35:02.307114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0b5e664a-3d77-4239-a47a-424df14993fc · outbound
This paper cites Robotic Control via Embodied Chain-of-Thought Reasoning.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Robotic Control via Embodied Chain-of-Thought Reasoning
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T08:14:32.442267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 73ce07e7-b531-4750-8f7b-59a3782e3ffb · outbound
This paper cites Embodiedgpt: Vision-language pre-training via embodied chain of thought.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Embodiedgpt: Vision-language pre-training via embodied chain of thought
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T07:35:02.271771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 57627489-fdd1-4bb4-8e68-2bf75a690322 · outbound
This paper cites Alfred: A benchmark for interpreting grounded instructions for everyday tasks.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Alfred: A benchmark for interpreting grounded instructions for everyday tasks
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T07:35:02.275814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3044fbf3-9e04-46d2-bd27-e65d7a8b5756 · outbound
This paper cites Assessing the emergent symbolic reasoning abilities of llama large language models.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Assessing the emergent symbolic reasoning abilities of llama large language models
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T07:35:02.302755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3814eb25-17cf-44c9-b4de-cee87acb2914 · outbound
This paper cites Chatgpt for robotics: Design principles and model abilities. 2023.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Chatgpt for robotics: Design principles and model abilities. 2023
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T07:35:02.314648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 90e01f0b-b383-45ad-a388-0c5925191053 · outbound
This paper cites Do as i can, not as i say: Grounding language in robotic affordances.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Do as i can, not as i say: Grounding language in robotic affordances
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T07:35:02.255277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 602d5576-a979-49b9-adab-8ce89bc33941 · outbound
This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning ReAct: Synergizing Reasoning and Acting in Language Models
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T08:06:26.561773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 635e3104-a5b0-4378-9a30-f744a54b398e · outbound
This paper cites Integrated task and motion planning.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Integrated task and motion planning
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T07:35:02.263922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bffbd5ed-d938-4d17-8ef5-e72a01e0f1ff · outbound
This paper cites Can an embodied agent find your “cat-shaped mug.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Can an embodied agent find your “cat-shaped mug
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T07:35:02.251303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 04d5c3cf-0398-4f5e-b700-05822e4c4c77 · outbound
This paper cites Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T07:35:02.259880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 131fe990-2ab4-4020-97a6-1d7111e79315 · outbound
This paper cites Large language models for robotics: A survey.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Large language models for robotics: A survey
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:06:26.550354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ba956c7a-772c-4823-a484-1afc0b6fbd00 · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large language models.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Chain-of-thought prompting elicits reasoning in large language models
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T07:35:02.247226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0316522b-00af-4cb8-a125-330589459d77 · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Training Verifiers to Solve Math Word Problems
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T08:06:26.480023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2562daf5-c75c-4a93-b945-f97c8151555b · outbound
This paper cites Code as policies: Language model programs for embodied control.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Code as policies: Language model programs for embodied control
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T07:35:02.216020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6fd221bf-53af-4c26-8d2a-ede5e1497a2f · outbound
This paper cites RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:06:26.496854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9f5202b1-951a-4e7e-b36c-b28c6926d7c9 · outbound
This paper cites OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:06:26.464477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e74ccb0e-2916-4319-a63f-2a30ba71ef5e · outbound
This paper cites Context-aware planning and environment-aware memory for instruction following embodied agents.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Context-aware planning and environment-aware memory for instruction following embodied agents
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T07:35:02.221434Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1c7a881a-fdb0-4c0e-af0d-c2e95c708bb5 · outbound
This paper cites Multi-level compositional reasoning for interactive instruction following.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Multi-level compositional reasoning for interactive instruction following
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T07:35:02.230379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b49f2d50-633c-4900-90a9-7baef810259e · outbound
This paper cites Tell and show: Combining multiple modalities to communicate manipulation tasks to a robot.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Tell and show: Combining multiple modalities to communicate manipulation tasks to a robot
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:06:26.571730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2e586e04-d40b-4cbb-b69c-3ec70107d104 · outbound
This paper cites Realfred: An embodied instruction following benchmark in photo-realistic envi- ronments.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Realfred: An embodied instruction following benchmark in photo-realistic envi- ronments
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T07:35:02.234490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b26b0c70-0d95-4b9d-99fa-547c2f4ebf47 · outbound
This paper cites YOLOX: Exceeding YOLO Series in 2021.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning YOLOX: Exceeding YOLO Series in 2021
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:31:31.716715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a34f3fab-a6b7-4849-bf02-90ece2861941 · outbound
This paper cites Gdr-net: Geometry- guided direct regression network for monocular 6d object pose esti- mation.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Gdr-net: Geometry- guided direct regression network for monocular 6d object pose esti- mation
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T07:35:02.238490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6f15acd2-b305-4c9c-bedd-0e7840b649c4 · outbound
This paper cites Agents|LangChain.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Agents|LangChain
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T07:35:02.242854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation be6b076c-13b9-4699-9f45-4f37d8e014a8 · outbound
This paper cites Llama 3 model card.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Llama 3 model card
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T07:35:02.267753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1149db2d-5918-45dc-8bd4-61fcdd37e41b · outbound
This paper cites React: Synergizing reasoning and acting in language models.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning React: Synergizing reasoning and acting in language models
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T07:35:02.225935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ecea71a7-34c5-4bc6-9c65-6aaface69d98 · outbound
This paper cites Prompt a Robot to Walk with Large Language Models.
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning Prompt a Robot to Walk with Large Language Models
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:06:26.443353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
No inbound Pith citation observations are available.