Paper Citation Record · LEDGER

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments

As of 10 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2502.02066.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.02066 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:30:48.363974Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy23
unresolved9
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 61a0a392-52d1-408f-861f-83a3faefe597 · outbound

This paper cites Anticipation in human-robot cooperation: A recurrent neural network approach for multiple action sequences prediction,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Anticipation in human-robot cooperation: A recurrent neural network approach for multiple action sequences prediction,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:49.360860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 01ab734f-d76c-4184-9a87-0eea1f8cdfed · outbound

This paper cites Anticipatory Planning: Improving Long-Lived Planning by Estimating Expected Cost of Future Tasks,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Anticipatory Planning: Improving Long-Lived Planning by Estimating Expected Cost of Future Tasks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:49.343699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3f83038b-4c56-42ce-b488-2898fc227a2b · outbound

This paper cites Inner monologue: Embodied reasoning through planning with language models,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Inner monologue: Embodied reasoning through planning with language models,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:49.326322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e0ced63a-c44a-4ccb-8f22-668b9d79371d · outbound

This paper cites Task and motion planning with large language models for object rearrangement,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Task and motion planning with large language models for object rearrangement,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:49.308692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 70a180a9-20a0-4983-8030-676288c2f518 · outbound

This paper cites Text2Motion: From Natural Language Instructions to Feasible Plans.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Text2Motion: From Natural Language Instructions to Feasible Plans

Reference 5

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Source-reported events for the cited work

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Observation 3d90fd87-45ec-41fa-91d2-132c3107d71a · outbound

This paper cites Pddl - the planning domain definition language,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Pddl - the planning domain definition language,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T13:30:48.227903Z

Source-reported events for the cited work

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Observation f7460b46-3fac-47d8-b72e-17866fe9f28d · outbound

This paper cites The fast downward planning system,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments The fast downward planning system,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c393dff0-29df-464c-afa9-8c0469fe95e6 · outbound

This paper cites Virtualhome: Simulating household activities via programs,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Virtualhome: Simulating household activities via programs,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:49.263542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f2b23386-3645-4d55-9d70-eda06ad2ca4a · outbound

This paper cites GPT-4 Technical Report.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments GPT-4 Technical Report

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T13:30:48.243742Z

Source-reported events for the cited work

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Observation 07d30089-329a-4dda-824d-83feef51f3be · outbound

This paper cites Palm: Scaling language modeling with pathways,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Palm: Scaling language modeling with pathways,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:49.230162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dd50daf6-f956-4861-87ac-dc5f6d172db3 · outbound

This paper cites Llama: Open and efficient foundation language models,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Llama: Open and efficient foundation language models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:49.213087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7d13f124-49e9-4af3-bf4c-4275cd6aa219 · outbound

This paper cites Inner monologue: Embodied reasoning through planning with language models,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Inner monologue: Embodied reasoning through planning with language models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:49.195743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c292a87b-58ad-4dec-bf6f-bfae94e608ca · outbound

This paper cites Skill induction and planning with latent language,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Skill induction and planning with latent language,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:49.177386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c6a5aa59-7632-414d-afe4-ef4d73fcc651 · outbound

This paper cites Do as i can, not as i say: Grounding language in robotic affordances,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Do as i can, not as i say: Grounding language in robotic affordances,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:49.160513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c32d1332-fdfd-4376-8239-27972439d996 · outbound

This paper cites Language models as zero-shot planners: Extracting actionable knowledge for embodied agents,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Language models as zero-shot planners: Extracting actionable knowledge for embodied agents,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T13:30:48.279592Z

Source-reported events for the cited work

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Observation 17db7ce0-2b4c-4f3a-a714-e452738ab6df · outbound

This paper cites SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T13:30:48.284662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37700771-4fb8-49d5-9162-717a121f68da · outbound

This paper cites Planning with large language models via corrective re-prompting,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Planning with large language models via corrective re-prompting,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:49.143448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 78c38146-1fc6-497a-a8c9-e302845757cb · outbound

This paper cites Generalized planning in pddl domains with pretrained large language models,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Generalized planning in pddl domains with pretrained large language models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:49.126587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9f69f57c-cc99-4dab-9565-141400afeb76 · outbound

This paper cites Tidybot: Personalized robot assistance with large language models,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Tidybot: Personalized robot assistance with large language models,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:49.109845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5f42b3bc-e9a4-4d37-87fc-f0bf5d66fbd3 · outbound

This paper cites Progprompt: Generating situated robot task plans using large language models,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Progprompt: Generating situated robot task plans using large language models,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T13:30:48.304789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c1a2e5c-1ebb-4e75-be43-573838dc96d4 · outbound

This paper cites VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T13:30:48.309633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52da19f2-b620-4e67-bf00-8ba7b4d5a5fc · outbound

This paper cites Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of- distribution reasoning tasks,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of- distribution reasoning tasks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:49.081439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b0c97090-232e-4aa7-a360-7b311c7e367d · outbound

This paper cites Large language models still can’t plan (a benchmark for llms on planning and reasoning about change),.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Large language models still can’t plan (a benchmark for llms on planning and reasoning about change),

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:49.064631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c6d0e8b6-3465-4304-ac2e-9108356419c7 · outbound

This paper cites Antgpt: Can large language models help long-term action anticipation from videos?.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Antgpt: Can large language models help long-term action anticipation from videos?

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:49.047770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 82285fd3-a1ec-424e-a743-b5333f987ce1 · outbound

This paper cites PDDL planning with pretrained large language models,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments PDDL planning with pretrained large language models,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:49.029549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5e35ab67-dcc3-4bd0-ab03-72d3fc6135aa · outbound

This paper cites Llm+p: Empowering large language models with optimal planning proficiency,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Llm+p: Empowering large language models with optimal planning proficiency,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:49.009442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 51fc9f18-817a-4e17-9330-ea77bb16e732 · outbound

This paper cites Translating natural language to planning goals with large-language models,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Translating natural language to planning goals with large-language models,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:48.992167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3cf972e8-7cbf-48d9-b5d9-7e7169a396f7 · outbound

This paper cites Language models are few-shot learners,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Language models are few-shot learners,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:48.974744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1f7f7adb-4b32-4d7b-bc55-64bf39314da1 · outbound

This paper cites Strips: A new approach to the application of theorem proving to problem solving,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Strips: A new approach to the application of theorem proving to problem solving,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T13:30:48.348967Z

Source-reported events for the cited work

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Observation cee3d8c6-4ad0-48d3-9713-07b888764b64 · outbound

This paper cites An empirical analysis of some heuristic features for planning through local search and action graphs,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments An empirical analysis of some heuristic features for planning through local search and action graphs,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:48.956740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4b4af5b3-3f2f-441c-b73b-1efea47e91f9 · outbound

This paper cites REBA: A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments REBA: A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:48.939399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8c6278e9-7ca9-4538-8e31-fc6c104e6cae · outbound

This paper cites The treatment of ties in ranking problems,.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments The treatment of ties in ranking problems,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T13:30:48.363974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67248846-52ad-4be9-9fd5-4e9a0e875cf6 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 257532815.

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments Available: https://api.semanticscholar.org/CorpusID: 257532815

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:30:49.247079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.