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Paper Citation Record · LEDGER

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains

As of 11 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2501.16899.

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

pith.paper-citation-record.v1
2501.16899 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T05:48:46.256983Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

27 of 27 outbound references displayed

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  • verified fuzzy9
  • unresolved16
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  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cae8e1ee-41b6-4be4-bd3f-3245fa636dfd · outbound

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

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains Palm-e: An embodied multimodal language model,

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 687dd38b-c5e9-4009-bb86-6d2b99f837d2 · outbound

This paper cites Open x-embodiment: Robotic learning datasets and rt-x models,.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains Open x-embodiment: Robotic learning datasets and rt-x models,

Reference 2

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raw_fallback, observed 2026-08-10T05:48:47.315575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T05:48:45.891801Z digest=sha256:00aaf352a56d6da49202fa523c7ca699f6a244972320868325aca2f815ac2621

Observation 49f7fd78-06c4-4289-a5b6-5a62fb446977 · outbound

This paper cites ChatGPT for Robotics: Design Principles and Model Abilities.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains ChatGPT for Robotics: Design Principles and Model Abilities

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dda03eec-d350-45c6-a99c-03e70596bf8f · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:48:45.900421Z digest=sha256:b10fa1ac1f4f4189617cbffb3b51ddaef70aadec095c3df9d1a354065c9772bb

Observation 7c1e741b-5119-4a7c-9e12-406ba89bee61 · outbound

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

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:48:45.905513Z digest=sha256:2175ca69c0bfb6c56c2906cd0fdf45b41916deeb47eefe0523b16bd5d2f848fd

Observation b6955646-d6b6-4cac-be82-e24806e9d17f · outbound

This paper cites Llm-bt: Performing robotic adaptive tasks based on large language models and behavior trees,.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains Llm-bt: Performing robotic adaptive tasks based on large language models and behavior trees,

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:48:45.910343Z digest=sha256:9b167d3e2fcf76a8c1b64be42c40a231a00d48f4a4e66ee39a0cca658d50cae7

Observation d956f7c5-b893-4ce8-937c-eb2d2cc05513 · outbound

This paper cites Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 7

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source=pdf_text observed=2026-08-10T05:48:45.914244Z digest=sha256:64f9edf11978c715475f09c49bb53947522d07d21f157c7884ef0388f5665383

Observation 6b84f9ce-9e4a-489b-8aee-8e274ade7e1b · outbound

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

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains Planning with large language models via corrective re-prompting,

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-10T05:48:47.302583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T05:48:45.972429Z digest=sha256:04bfb37e4c8f03eaaefbbb1799913796b7fd8431f974f944a08979688faac1a5

Observation 7a269745-4dc3-4046-a130-0bd58cdd0b33 · outbound

This paper cites Text2motion: from natural language instructions to feasible plans,.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains Text2motion: from natural language instructions to feasible plans,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T05:48:46.029948Z digest=sha256:48c3e87d9d835c53d7bf46b3c6207ee76b1031442f82078608c65a8fb8630b84

Observation c28bf46e-e27a-4e62-95d2-a8a4eb57c791 · outbound

This paper cites ProgPrompt: Generating Situated Robot Task Plans using Large Language Models.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains ProgPrompt: Generating Situated Robot Task Plans using Large Language Models

Reference 10

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source=pdf_text observed=2026-08-10T05:48:46.054328Z digest=sha256:76784bcee5a05037aef1af6737f47ab732ba105d4fc48c47caa644ae273cb7a2

Observation 7d20f264-6883-4d9b-8ca0-b60afcdd02e6 · outbound

This paper cites LM-nav: Robotic navigation with large pre-trained models of language, vision, and action,.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains LM-nav: Robotic navigation with large pre-trained models of language, vision, and action,

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:48:46.099290Z digest=sha256:468628a0420c308fb0680095151fdad69c1eb6318a081d8125127a78343437ed

Observation ac1d6bb7-c4b9-4a6b-a0f1-e48521275240 · outbound

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

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains Tidybot: Personalized robot assistance with large language models,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-10T05:48:47.267380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T05:48:46.179677Z digest=sha256:bd0266345a61c55cb51a0aa3800f031c27a0479ac3997196a37b50674b014804

Observation 7a2280ec-f0a7-4b18-87c7-a6fd3fd4e9e5 · outbound

This paper cites LLM+P: Empowering Large Language Models with Optimal Planning Proficiency.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

Reference 13

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source=pdf_text observed=2026-08-10T05:48:46.204233Z digest=sha256:7a03e0edf6291c394f05228bb5a4267f9a19c1b557847f9502a7486d6900afe4

Observation 6409a18f-e3e5-4b7e-8fed-a7f758b0caac · outbound

This paper cites Vision-language interpreter for robot task planning,.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains Vision-language interpreter for robot task planning,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-10T05:48:47.235639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 0ce42b5d-06f9-44d7-8382-caa939d8828f · outbound

This paper cites Code as Policies: Language Model Programs for Embodied Control.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains Code as Policies: Language Model Programs for Embodied Control

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:48:46.216212Z digest=sha256:497589d4d1e5289f726b64a0ce86a62b2483f66fa9e7c38d6434478071c14902

Observation a0855f36-a546-4e5e-85d5-02f447519d95 · outbound

This paper cites Large language models as generalizable policies for embodied tasks,.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains Large language models as generalizable policies for embodied tasks,

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-10T05:48:47.135308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation cf075df9-ed0f-435d-b7a3-89943b0e1e56 · outbound

This paper cites Llama 3 model card,.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains Llama 3 model card,

Reference 17

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source=pdf_text observed=2026-08-10T05:48:46.223927Z digest=sha256:959c027145cb1e349d0d06cd95de19e017e18080c08722fdaef6b7ea2fec90d9

Observation d6e471b5-28a7-4228-bdc3-d455ed1f2740 · outbound

This paper cites mistral-7b-instruct-0.3v,.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains mistral-7b-instruct-0.3v,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T05:48:46.228133Z digest=sha256:e7b0339ed6f7565c781e2a11a8ba158899359e045a92e5b1b893b272f8608f12

Observation 0156c057-7ec1-4fdd-884d-ea8587b546a7 · outbound

This paper cites Qwen2 Technical Report.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains Qwen2 Technical Report

Reference 19

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source=pdf_text observed=2026-08-10T05:48:46.232180Z digest=sha256:57c541d1f43c32a0f7e82a8fbef28d11c901518aa281a21b868377ea2a9efbbd

Observation da2156cf-f248-454c-9d68-7e56760ebe5e · outbound

This paper cites Gptq: Accurate post-training quantization for generative pre-trained transformers,.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains Gptq: Accurate post-training quantization for generative pre-trained transformers,

Reference 20

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source=pdf_text observed=2026-08-10T05:48:46.237850Z digest=sha256:7394e54fa27cb46b8339a7f7a442d413bc1aede1e8fb5c6ed48a1b7ae057cb02

Observation e6f26d7e-3563-4283-a62f-837d4719c598 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms,.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains Qlora: Efficient finetuning of quantized llms,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-10T05:48:46.828236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T05:48:46.246227Z digest=sha256:6fbd5dcfd81bb17516e5edcdb9a43007f2cfc3d7f68bea0a8c491910cbf6dcd9

Observation 91f169ef-e430-4b14-bcc6-82791b6f750e · outbound

This paper cites LoRA: Low-rank adaptation of large language models,.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains LoRA: Low-rank adaptation of large language models,

Reference 22

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source=pdf_text observed=2026-08-10T05:48:46.249204Z digest=sha256:ccc056b4f7bb462b63ee5e873905ab19d66c5818ab54556807d2e86c90b936ac

Observation 54a33a0f-7ec4-4532-babb-f2c584332d03 · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 23

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source=pdf_text observed=2026-08-10T05:48:46.241990Z digest=sha256:0a0acd789e096fec6e7fa428dcb3acd44f2388b362480c06d59b8319b09b94a3

Observation 644969f6-52be-4cb5-9a82-293ca3c96b28 · outbound

This paper cites Internlm-xcomposer2: Mastering free-form text-image composition and comprehension in vision-language large model,.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains Internlm-xcomposer2: Mastering free-form text-image composition and comprehension in vision-language large model,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-10T05:48:46.717950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T05:48:46.252807Z digest=sha256:51a3ddf2c959985a4f8486e8e7cc5e132e4ac8cf80c98c969aea94580c0ce9e8

Observation a65813d1-b86b-4617-b036-1cc01c2d035d · outbound

This paper cites InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:48:46.256983Z digest=sha256:4e05e3580998091940e25a6a3e0af34ee9bc0f5b5bec0e7f1f4ac28df9a62e93

Observation 669a56b6-c538-4826-a337-d053879e7f8b · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains PaLM-E: An Embodied Multimodal Language Model

Reference 2023

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:48:45.886266Z digest=sha256:0004472e1030d9eb71c4a61992313423250c27fbac6acd9cb94ccfe5e6e17758

Observation 1ff0106f-c85a-45d0-be1c-4ec6a9686ded · outbound

This paper cites Vision-Language Interpreter for Robot Task Planning.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains Vision-Language Interpreter for Robot Task Planning

Reference 2024

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metadata mismatch
local_arxiv, observed 2026-08-10T05:48:46.404570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Pith citing papers

No inbound Pith citation observations are available.