Paper Citation Record · LEDGER

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models

As of 10 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2501.18516.

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

pith.paper-citation-record.v1
2501.18516 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:15:09.820466Z

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 fuzzy25
unresolved8
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3aa6cc8e-e4e5-4d72-8a55-34885cf5becb · outbound

This paper cites Rearrangement: A Challenge for Embodied AI.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Rearrangement: A Challenge for Embodied AI

Reference 1

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Source-reported events for the cited work

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Observation 624ca739-7810-4748-8082-d7c34b9ee090 · outbound

This paper cites an unresolved cited work.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-09T23:15:10.383213Z

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Observation afa07bf4-14ec-47cd-a52c-fbe0c5751a78 · outbound

This paper cites Multimodal zero- shot learning for tactile texture recognition,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Multimodal zero- shot learning for tactile texture recognition,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.373677Z

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Observation 37dcb1f3-1ff2-4704-b2d2-d4cd7d6b65cd · outbound

This paper cites Metric learning for generalizing spatial relations to new objects,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Metric learning for generalizing spatial relations to new objects,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.364861Z

Source-reported events for the cited work

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Observation ad2111d0-7d7a-4814-858d-c990d2f8123e · outbound

This paper cites Sornet: Spatial object- centric representations for sequential manipulation,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Sornet: Spatial object- centric representations for sequential manipulation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.355950Z

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Observation cf5cf69e-198e-4f54-84dc-6c69988fba84 · outbound

This paper cites One-shot imitation learn- ing: A pose estimation perspective,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models One-shot imitation learn- ing: A pose estimation perspective,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.347220Z

Source-reported events for the cited work

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Observation 8b690898-8ee5-4331-95e6-f0fe2f68a0f7 · outbound

This paper cites Dall-e-bot: Introducing web- scale diffusion models to robotics,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Dall-e-bot: Introducing web- scale diffusion models to robotics,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.337717Z

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Observation a5f7d250-bd04-40f0-a542-671e926dbd79 · outbound

This paper cites Mental models and lifelong learning,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Mental models and lifelong learning,

Reference 8

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Observation 98b29519-f36b-4577-8ee1-b2586a9c276a · outbound

This paper cites Medial and orbital frontal cortex in decision-making and flexible behavior,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Medial and orbital frontal cortex in decision-making and flexible behavior,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.319502Z

Source-reported events for the cited work

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Observation 61212b14-1635-4de0-b011-5319fbd49b3b · outbound

This paper cites The whole prefrontal cortex is premotor cortex,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models The whole prefrontal cortex is premotor cortex,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.310499Z

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 fdaa246d-e6fd-493f-bd16-3a14543e1aac · outbound

This paper cites Memory: Brain systems that link past, present and future,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Memory: Brain systems that link past, present and future,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.300987Z

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 ae0d18d7-df9c-4df3-b573-86a339c6c632 · outbound

This paper cites Efficient and interpretable robot manipulation with graph neural networks,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Efficient and interpretable robot manipulation with graph neural networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.291546Z

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 57f8413a-da40-412a-a809-257f041e7877 · outbound

This paper cites Tidee: Tidying up novel rooms using visuo-semantic commonsense priors,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Tidee: Tidying up novel rooms using visuo-semantic commonsense priors,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.282562Z

Source-reported events for the cited work

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Observation 6aeca73c-6f07-44d5-9e50-fc0f80c6c614 · outbound

This paper cites Automated task planning using object arrangement optimization,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Automated task planning using object arrangement optimization,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.272956Z

Source-reported events for the cited work

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Observation ffa01fec-b24c-4a66-9183-d8abcecf0e0a · outbound

This paper cites My house, my rules: Learning tidying preferences with graph neural networks,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models My house, my rules: Learning tidying preferences with graph neural networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.263756Z

Source-reported events for the cited work

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Observation f03a4951-ff55-4cf7-a6b3-4dae959dc79f · outbound

This paper cites A learning from demonstration framework for adaptive task and motion planning in varying package- to-order scenarios,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models A learning from demonstration framework for adaptive task and motion planning in varying package- to-order scenarios,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.254069Z

Source-reported events for the cited work

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Observation 310cf78e-1371-4a1d-975a-be1af80fa976 · outbound

This paper cites Applying vision-guided graph neural networks for adaptive task planning in dynamic human robot collaborative scenarios,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Applying vision-guided graph neural networks for adaptive task planning in dynamic human robot collaborative scenarios,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.243744Z

Source-reported events for the cited work

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Observation d7aac46b-115f-46c5-8b6f-7d8a88729ea5 · outbound

This paper cites Visual genome: Connecting language and vision using crowdsourced dense image annotations,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Visual genome: Connecting language and vision using crowdsourced dense image annotations,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.234298Z

Source-reported events for the cited work

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Observation 3a34d2a3-5fe5-41ff-be94-763c2919b6a8 · outbound

This paper cites Ingress: Interactive visual grounding of referring expressions,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Ingress: Interactive visual grounding of referring expressions,

Reference 19

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Source-reported events for the cited work

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Observation 215a470b-1204-453e-aa00-1dbcaa5bb4e0 · outbound

This paper cites What foundation models can bring for robot learning in manipulation: A survey,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models What foundation models can bring for robot learning in manipulation: A survey,

Reference 20

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Source-reported events for the cited work

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Observation 781877df-d93f-4459-bde7-607edaf88923 · outbound

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

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Do as i can, not as i say: Grounding language in robotic affordances,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.214869Z

Source-reported events for the cited work

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Observation 72fe810f-1648-4407-9cf3-54d1826cca18 · outbound

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

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Language models as zero-shot planners: Extracting actionable knowledge for embodied agents,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.204675Z

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

Observation 8d03ab9f-c3a7-481e-abd3-9ed036306717 · outbound

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

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Tidybot: Personalized robot assistance with large language models,

Reference 23

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Source-reported events for the cited work

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Observation c9732fa9-a38d-47ed-b028-0bfaa8269e23 · outbound

This paper cites Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T23:15:09.791835Z

Source-reported events for the cited work

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Observation 2a591561-fd79-4640-9466-f96b701caae4 · outbound

This paper cites Lifelong robot library learning: Bootstrap- ping composable and generalizable skills for embodied control with language models,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Lifelong robot library learning: Bootstrap- ping composable and generalizable skills for embodied control with language models,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.189419Z

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Observation 1f3dabf1-9f30-42ca-8427-c2044594580d · outbound

This paper cites Rt-2: Vision-language-action models transfer web knowledge to robotic control,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Rt-2: Vision-language-action models transfer web knowledge to robotic control,

Reference 26

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Source-reported events for the cited work

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This paper cites Palm-e: An embodied multimodal language model,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Palm-e: An embodied multimodal language model,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.174266Z

Source-reported events for the cited work

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Observation b82196a5-76cc-45e3-8c67-11037ec4460f · outbound

This paper cites V oxposer: Composable 3d value maps for robotic manipulation with language models,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models V oxposer: Composable 3d value maps for robotic manipulation with language models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.164720Z

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 e0c72f67-39e1-4475-9a24-86c8dfa70ad2 · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.155341Z

Source-reported events for the cited work

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Observation 6619bbac-b93e-43d1-8c30-75c064ecf1c3 · outbound

This paper cites Exploring and improving the spatial reasoning abilities of large language models,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Exploring and improving the spatial reasoning abilities of large language models,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.145647Z

Source-reported events for the cited work

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Observation 32f51a2c-6930-4d46-8ccc-efec01eaea9b · outbound

This paper cites Dream2real: Zero- shot 3d object rearrangement with vision-language models,.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Dream2real: Zero- shot 3d object rearrangement with vision-language models,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:15:10.135688Z

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 011b68b3-6ef5-42b2-8813-201c9690e77a · outbound

This paper cites Mistral 7B.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Mistral 7B

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T23:15:09.816877Z

Source-reported events for the cited work

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Observation c9b7904b-4d5d-4583-97e0-64286747ac10 · outbound

This paper cites The Llama 3 Herd of Models.

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models The Llama 3 Herd of Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-09T23:15:09.820466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.