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Paper Citation Record · LEDGER

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation

As of 17 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2506.00075.

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

pith.paper-citation-record.v1
2506.00075 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:41:40.614957Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

21 of 21 outbound references displayed

  • verified exact2
  • verified fuzzy9
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3436ae8d-f8e8-4328-a084-663247debde8 · outbound

This paper cites Exploring the performance of ros2,.

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation Exploring the performance of ros2,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:42.834611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:41:39.613851Z digest=sha256:f46c4f6d86c7034692d8725965e5b178a7a945a7c717ab4b7aa6d7f9600b9601

Observation d942b363-5d0d-42cf-aea4-868aea8ab76b · outbound

This paper cites Artificial intelligence, machine learning and deep learning in advanced robotics, a review,.

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation Artificial intelligence, machine learning and deep learning in advanced robotics, a review,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:42.516914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:41:39.662012Z digest=sha256:73b3256b203a038cf07d847e50ff91c6632706c11b00dfa33944e2a7a2fba23a

Observation 72abcf1f-1e92-4f3d-8d01-a39bbcc31d51 · outbound

This paper cites Soft actor-critic for navigation of mobile robots,.

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation Soft actor-critic for navigation of mobile robots,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:42.383183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:41:39.693956Z digest=sha256:ac93a8aba08777da27ad0d7e56af26193278fd133cb1e203a2aa50261bef1d48

Observation 174964bd-cc56-4767-842c-0e9ecc5c7569 · outbound

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

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation Code as Policies: Language Model Programs for Embodied Control

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:39.811481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:39.811481Z digest=sha256:1b28bf5f1e656240b3780a76c12bf0efe67bc36d2438058a6ead107323f6772c

Observation 5820b9ca-88b1-4e0d-9363-771019ced8b2 · outbound

This paper cites GPTEval: A Survey on Assessments of ChatGPT and GPT-4.

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation GPTEval: A Survey on Assessments of ChatGPT and GPT-4

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:39.869029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:39.869029Z digest=sha256:a00dedbeea31b69bc5c689d1617b197c7f6a335b1fae809cf67c3125f3de1116

Observation 195126c3-d1a4-4f56-8b28-87a4c97e27c2 · outbound

This paper cites V oice based smart robotic arm,.

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation V oice based smart robotic arm,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:42.227447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:41:39.930866Z digest=sha256:0c6400911a904adc8edbb4cf620eebe66d007dce39a93b3edd8360706e677b44

Observation 08a087e5-e7fe-4c6e-a154-3fcb76bb393d · outbound

This paper cites Ejemplo de integraci ´on de alexa con un robot ur,.

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation Ejemplo de integraci ´on de alexa con un robot ur,

Reference 8

Resolution
verified exact
doi, observed 2026-08-07T12:41:40.831543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:41:39.977282Z digest=sha256:3f6846b3efdf3ac99d4b187c80aed1950eab2cf7df001c9267c86553f1bcfece

Observation 054414a5-bf1d-4540-a9bd-60eaf04b8165 · outbound

This paper cites Conversational ai and knowledge graphs for social robot interaction,.

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation Conversational ai and knowledge graphs for social robot interaction,

Reference 9

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T12:41:41.256137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:41:40.029484Z digest=sha256:dab3ff9eb1c15e12d832afeaab733d1c13991767ddc885d274ea4fdbf16cf679

Observation 70bc65e5-9261-4d03-ad4b-568f3cef72d4 · outbound

This paper cites Usability evaluation of a robotic system for cognitive testing,.

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation Usability evaluation of a robotic system for cognitive testing,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:42.051935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:41:40.085622Z digest=sha256:4a8b640183aa49f55d1359489bb308f6eda1d01dea6a0ecafd71c730272e3575

Observation 38a47491-35e0-42fa-a5ed-5afbaf7e4feb · outbound

This paper cites Robotgpt: From chatgpt to robot intelligence,.

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation Robotgpt: From chatgpt to robot intelligence,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:41.850012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:41:40.144645Z digest=sha256:2a01a857c916a565ec05976e307d2e912401dc1cbc8c899ff23eecf6ee0302f4

Observation 052fb765-4852-4631-a7c2-370187f8abe1 · outbound

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

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:40.215017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:40.215017Z digest=sha256:ad6b5d90d23fe64fdfdb7c50beaced1f226340ee19a057a2b1f96484552974c3

Observation 813cae08-739f-4857-a6c0-d1ebc9eedb3b · outbound

This paper cites Large Language Models as General Pattern Machines.

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation Large Language Models as General Pattern Machines

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:40.232622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:40.232622Z digest=sha256:ef04724bfda427a0be7fac056a4a341442e981accfbe4adc69eabb5cc42e7949

Observation e6a42001-ebc4-4791-b479-0657974abb44 · outbound

This paper cites The rise and potential of large language model based agents: A survey,.

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation The rise and potential of large language model based agents: A survey,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:41.644521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:41:40.273172Z digest=sha256:1fcd500f562e4fcfb3bdbdf3bcb552f09ec0b5b38bb45c54a551704e020cf269

Observation 980342c9-a8b9-48bc-9433-ecc6154f69e9 · outbound

This paper cites Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis.

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:40.431905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:40.431905Z digest=sha256:9e52255278f331889caa9be93d73167afa9ac67c40e8e597759ed76041cacbe4

Observation 1328a0ac-688d-4655-9feb-a679e01e7671 · outbound

This paper cites Saycanpay: Heuristic planning with large language models using learnable domain knowledge,.

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation Saycanpay: Heuristic planning with large language models using learnable domain knowledge,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:40.512189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:40.512189Z digest=sha256:4bcda86f3b7fbaa43b5211c52d24d0483024b40950e5c1369c0050c23f161eec

Observation e045032d-9dc2-4140-b3ae-b288f95f56a3 · outbound

This paper cites Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics.

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:40.573765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:40.573765Z digest=sha256:cf40340ac6159eb69aacb1bceb549424efd3033c8687e1257ca4e28b65a82d16

Observation 9af1d8ad-e591-4a6a-9f14-1a837c535185 · outbound

This paper cites Language to rewards for robotic skill synthesis,.

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation Language to rewards for robotic skill synthesis,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:41.528222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:41:40.577712Z digest=sha256:ffaa6874d0f16c647ed073107b4cbcf6d426d75886544cac38964b73958cc8df

Observation 06a072f2-1d5b-4aab-bae3-03037289951e · outbound

This paper cites Rosgpt: Next-generation human-robot interaction with chatgpt and ros,.

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation Rosgpt: Next-generation human-robot interaction with chatgpt and ros,

Reference 19

Resolution
verified exact
raw_fallback, observed 2026-08-07T12:41:41.086743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:41:40.585413Z digest=sha256:50c340a392304078b50d22763b7db991c5dc066568fdb2dfb40e00cf9c763900

Observation 4da63cfb-30ff-4a4d-b92d-d2132704f41c · outbound

This paper cites Language to Rewards for Robotic Skill Synthesis.

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation Language to Rewards for Robotic Skill Synthesis

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:40.581010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:40.581010Z digest=sha256:0f1375866b245f5e2e82e54f001f82e59ba77a64ed50e10c0fe5406e38cb7941

Observation 1452bc2c-1052-44da-bf21-0a1bd0f04a41 · outbound

This paper cites Rosgpt: Chatgpt interface for ros2 for human-robot interaction,.

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation Rosgpt: Chatgpt interface for ros2 for human-robot interaction,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:41:41.373876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:41:40.614957Z digest=sha256:04bac5de2fdd4c4bc8975877ea6b12013f92c42d07681ec6b2be8b9c6b574d4f

Observation e49ca7f1-bd83-4f3a-a39b-6bbb77d57ff5 · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:40.339302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:40.339302Z digest=sha256:cba42f393722adcff9155ca5dd50ff52727bdb84de79d92c5f6095db745343f2

Pith citing papers

No inbound Pith citation observations are available.