Paper Citation Record · LEDGER

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation

As of 14 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2411.13262.

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

pith.paper-citation-record.v1
2411.13262 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:43:27.930407Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

32 of 32 outbound references displayed

verified exact0
verified fuzzy13
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ca38e1c6-4e42-4502-b544-1a6f3a4a06e4 · outbound

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

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:28.514205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3f65a4c5-d927-444d-ae29-2a02818abf34 · outbound

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

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation Do as i can, not as i say: Grounding language in robotic affordances,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:28.506500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b8d9a109-6754-4cf9-a70b-3d7d8750e94e · outbound

This paper cites Visual language maps for robot navigation,.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation Visual language maps for robot navigation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:28.499255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 47d7e7bb-1554-43ca-8eae-db979e63089f · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation LoRA: Low-Rank Adaptation of Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:27.317621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ba2cb66-ea70-4374-bac8-0a65d09eea57 · outbound

This paper cites Vision-only robot navigation in a neural radiance world,.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation Vision-only robot navigation in a neural radiance world,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:28.492296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6c560a45-4155-41ba-96c3-c6bf2120a6ba · outbound

This paper cites Combination and competition between path integration and landmark navigation in the estimation of heading direction,.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation Combination and competition between path integration and landmark navigation in the estimation of heading direction,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:28.484074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c3003b39-a6eb-4391-b4fe-1e089a14020e · outbound

This paper cites Olfaction-based mobile robot navigation,.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation Olfaction-based mobile robot navigation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:28.476411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d4e54c88-0ae2-47f9-81af-1838ad55baa8 · outbound

This paper cites Navigation with large language models: Semantic guesswork as a heuristic for planning,.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation Navigation with large language models: Semantic guesswork as a heuristic for planning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:28.463648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7b701f44-83fe-49e1-b210-a8fb222a9987 · outbound

This paper cites Srlm: Human-in-loop interactive social robot navigation with large language model and deep reinforcement learning,.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation Srlm: Human-in-loop interactive social robot navigation with large language model and deep reinforcement learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:28.399430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 79f85c09-c532-43f1-a609-9d97fa691e06 · outbound

This paper cites Towards learning a generic agent for vision-and-language navigation via pre-training,.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation Towards learning a generic agent for vision-and-language navigation via pre-training,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:28.332754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 63aa8c5d-9c41-4524-add6-41c69aa0c5d6 · outbound

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

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:27.336253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81542443-f02e-48b8-b3a8-1971ba7586b1 · outbound

This paper cites Dynamic Planning with a LLM.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation Dynamic Planning with a LLM

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:27.390785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0190488f-3b9c-4147-898b-45a005b05017 · outbound

This paper cites Autotamp: Autoregressive task and motion planning with llms as translators and checkers,.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation Autotamp: Autoregressive task and motion planning with llms as translators and checkers,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:28.324424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 439d121c-82f1-484c-8221-12b03d85c1a2 · outbound

This paper cites LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:27.550169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be82160e-1b9e-475f-8e2a-c8d62c251047 · outbound

This paper cites LLM-Pruner: On the Structural Pruning of Large Language Models.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:27.575471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 381f867c-bb7e-40df-9d69-6fe8971fc00b · outbound

This paper cites MiniLLM: On-Policy Distillation of Large Language Models.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation MiniLLM: On-Policy Distillation of Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:27.600376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9649ab56-a7df-4aeb-8632-074eab279e54 · outbound

This paper cites In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:27.652019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c288844b-0b04-4123-bce0-7a19621a01a4 · outbound

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

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:27.689097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa4dd8ff-1e23-434a-b199-07911dd77274 · outbound

This paper cites LLM-QAT: Data-Free Quantization Aware Training for Large Language Models.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation LLM-QAT: Data-Free Quantization Aware Training for Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:27.691893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1257ed6c-4a74-4e64-8cdf-be2df468301b · outbound

This paper cites ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:27.694145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79417f2b-a241-4a3c-8ecf-b82e9b683673 · outbound

This paper cites Orca 2: Teaching Small Language Models How to Reason.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation Orca 2: Teaching Small Language Models How to Reason

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:27.697075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b42013b1-19a3-4326-8e65-b05542c84cff · outbound

This paper cites Small language models fine-tuned to coordinate larger language models improve complex reasoning,.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation Small language models fine-tuned to coordinate larger language models improve complex reasoning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:28.314659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2623e039-7c78-443a-bf0a-e13254805969 · outbound

This paper cites Peft: State-of-the-art parameter-efficient fine-tuning methods,.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation Peft: State-of-the-art parameter-efficient fine-tuning methods,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:27.702906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 680440fb-107f-46ab-ba4f-b2e642b713e4 · outbound

This paper cites Grimoire is All You Need for Enhancing Large Language Models.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation Grimoire is All You Need for Enhancing Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:27.705116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5502454-a155-40e7-8cc5-8a78bfc9da60 · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:27.707913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36dfa60d-8f38-4d48-82da-01e056d03d83 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:27.710887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c729a477-38f2-4a56-a90d-1d26e7e19503 · outbound

This paper cites The marathon 2: A navigation system,.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation The marathon 2: A navigation system,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:28.220403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5d33af42-f16b-4415-b330-6b6e58dbe794 · outbound

This paper cites aws-robomaker-hospital-world,.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation aws-robomaker-hospital-world,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:28.111416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a7a42ed5-b00e-4239-b79c-985a353c64f2 · outbound

This paper cites Llama 3 model card,.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation Llama 3 model card,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:27.885644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 317cd65e-1c4a-4aa7-a784-31be826869e2 · outbound

This paper cites Mistral 7B.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation Mistral 7B

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:27.922329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dc437e2-651d-42c1-87e5-6ce472e5c9cd · outbound

This paper cites Qwen Technical Report.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation Qwen Technical Report

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:27.925232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 761f1e2a-22b2-4728-a3e2-3c26795a18c5 · outbound

This paper cites Towards the Law of Capacity Gap in Distilling Language Models.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation Towards the Law of Capacity Gap in Distilling Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:27.930407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.