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Paper Citation Record · LEDGER

Leveraging LLMs for Mission Planning in Precision Agriculture

As of 21 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2506.10093.

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

pith.paper-citation-record.v1
2506.10093 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:39:57.676289Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:58:54.663523Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

  • verified exact2
  • verified fuzzy13
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1add3635-bb69-4e0f-bfca-6caf1b5a02a6 · outbound

This paper cites IEEE Std 1872.2-2021, pages 1–49, 2022.

Leveraging LLMs for Mission Planning in Precision Agriculture IEEE Std 1872.2-2021, pages 1–49, 2022

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:40:02.970164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 328cee79-1296-4068-a450-ed753b59a42e · outbound

This paper cites IEEE Std 1872.1-2024, pages 1–32, 2024.

Leveraging LLMs for Mission Planning in Precision Agriculture IEEE Std 1872.1-2024, pages 1–32, 2024

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:40:02.759605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:39:54.368212Z digest=sha256:75480b56e31fdf43e8b71f012caf3a7cc150b1a21be436a113b3dd4801ab83db

Observation 825d9dac-27ca-48c8-86b2-f60c2128e7b9 · outbound

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

Leveraging LLMs for Mission Planning in Precision Agriculture Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 3

Resolution
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no resolver link, observed 2026-08-07T04:39:54.466441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:39:54.466441Z digest=sha256:86b1562230ffd131169a38c50605aa5d925b0c416dabf66397ee3ef0736a193d

Observation 49b82450-ec59-4137-be45-51a05354e911 · outbound

This paper cites Askarpour, C.

Leveraging LLMs for Mission Planning in Precision Agriculture Askarpour, C

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:40:02.465596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:39:54.576171Z digest=sha256:eb52af7c77766c67af80c07282c493ce0f52cfc1ec276719156759a7dfa5a607

Observation af7fe31d-8e9a-42e2-acc3-65974204c6c4 · outbound

This paper cites Brumitt and A.

Leveraging LLMs for Mission Planning in Precision Agriculture Brumitt and A

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:40:02.146911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:39:54.653971Z digest=sha256:2072f19dedf73b7b380cb5e9095bae646328b081c51598b7507d0ecffc498173

Observation 7014aa54-778c-4775-90a3-ef82017a3b93 · outbound

This paper cites Solving Stochastic Orienteering Problems with Chance Constraints Using Monte Carlo Tree Search.

Leveraging LLMs for Mission Planning in Precision Agriculture Solving Stochastic Orienteering Problems with Chance Constraints Using Monte Carlo Tree Search

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:39:58.494855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:39:54.743127Z digest=sha256:3eb42c5a2edf47f7eef522f5f6f24621174d169e816367ad58d2b18e0cf07a5f

Observation ca6292a5-6a8a-4615-8fe3-f4f04acd8a03 · outbound

This paper cites Carpin and T.

Leveraging LLMs for Mission Planning in Precision Agriculture Carpin and T

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T04:40:01.868424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:39:54.870546Z digest=sha256:a05f4c04da508c8760b7377e7d35d40b00ac6d308c73eb8f653025f4732e2bf8

Observation 4efa03d5-99ff-47a7-945d-0637894b206c · outbound

This paper cites an unresolved cited work.

Leveraging LLMs for Mission Planning in Precision Agriculture Unresolved cited work

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:39:54.955115Z digest=sha256:77da2ad9b95a9446f4d4b9bb90d817b76835a96a7d1ad1f40ac664e1fb29b46e

Observation 00b3330a-1712-46eb-94c4-be7097ab51b0 · outbound

This paper cites Dechemi, D.

Leveraging LLMs for Mission Planning in Precision Agriculture Dechemi, D

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:40:01.333966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:39:55.068080Z digest=sha256:616db792876c42352ae70a6e500b54159004344b04f221d4ac30765090ad13be

Observation 205ed7d0-fc6d-4cb6-82f2-7aa67b0a3439 · outbound

This paper cites Semantic Anomaly Detection with Large Language Models.

Leveraging LLMs for Mission Planning in Precision Agriculture Semantic Anomaly Detection with Large Language Models

Reference 10

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no resolver link, observed 2026-08-07T04:39:55.183083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:39:55.183083Z digest=sha256:75d358aa140f864628b654aff8e1f5a992bbbf00c21edb5ddeba78a81c116ccb

Observation d527cffb-0fe9-4e6b-b9a4-bc505385f5ba · outbound

This paper cites Garrett, R.

Leveraging LLMs for Mission Planning in Precision Agriculture Garrett, R

Reference 11

Resolution
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raw_fallback, observed 2026-08-07T04:40:01.088873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:39:55.285773Z digest=sha256:ca0f16f525c6516ab6347df9eba30398d1cc6c93f1d8a7d3a5dd497eea35cef1

Observation bb520c69-07b1-4a46-8c53-7fd929434c31 · outbound

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

Leveraging LLMs for Mission Planning in Precision Agriculture Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 12

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no resolver link, observed 2026-08-07T04:39:55.421137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:39:55.421137Z digest=sha256:d831a09b2c5f59fbaf7bb2606a3fa18375c54f468decb30ce21fb8c8a2e1689b

Observation bcf426f2-974d-406e-a8e8-c52f3714b939 · outbound

This paper cites Inner Monologue: Embodied Reasoning through Planning with Language Models.

Leveraging LLMs for Mission Planning in Precision Agriculture Inner Monologue: Embodied Reasoning through Planning with Language Models

Reference 13

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no resolver link, observed 2026-08-07T04:39:55.562906Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:39:55.562906Z digest=sha256:e5e596cb48fd3b7da2c8d32de4abcbc5b04a12b203a019f9c474cb49fd526710

Observation 32eca113-fba3-4bf7-9b82-049699222f14 · outbound

This paper cites Janßen, C.

Leveraging LLMs for Mission Planning in Precision Agriculture Janßen, C

Reference 14

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no resolver link, observed 2026-08-07T04:39:55.659637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:39:55.659637Z digest=sha256:f52e5f50a71be8c63098a23172b34ea8620f52a6bb7873c14018e48a41a21c0b

Observation 3d5799a4-a168-4b93-b17a-dc8ddc21cb4c · outbound

This paper cites Jones, E.

Leveraging LLMs for Mission Planning in Precision Agriculture Jones, E

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:40:00.789140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:39:55.816371Z digest=sha256:928e65aadddf85d15f24d99bf6a88b6c3b014e69548f6bbb02c9c5111520b43f

Observation 1c8f2ca4-0639-4d70-a5ab-5b9cb704af11 · outbound

This paper cites Resilient Temporal Logic Planning in the Presence of Robot Failures.

Leveraging LLMs for Mission Planning in Precision Agriculture Resilient Temporal Logic Planning in the Presence of Robot Failures

Reference 16

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no resolver link, observed 2026-08-07T04:39:55.963958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:39:55.963958Z digest=sha256:e849a174cff3b74a77555c7782921d4bc2bc7feb35ed508d56d10393cb0dd922

Observation 21f2c536-9218-4537-80e0-94a4d032c238 · outbound

This paper cites Multi-robot Mission Planning in Dynamic Semantic Environments.

Leveraging LLMs for Mission Planning in Precision Agriculture Multi-robot Mission Planning in Dynamic Semantic Environments

Reference 17

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no resolver link, observed 2026-08-07T04:39:56.059001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:39:56.059001Z digest=sha256:35648c5720c1fce748e1ab44580ae42b613525b4ffb6b2fdc7cb7b0a8e526328

Observation 0bd159a0-0316-4a8e-a14b-42e29ad1e335 · outbound

This paper cites SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models.

Leveraging LLMs for Mission Planning in Precision Agriculture SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models

Reference 18

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no resolver link, observed 2026-08-07T04:39:56.175573Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T04:39:56.175573Z digest=sha256:f3a1afa8a6135172b9708b84c0ef8476675f7c8665fc7f31141171808023a458

Observation a1721de1-a4a1-4dc7-9780-5611b26e71a1 · outbound

This paper cites Kumar and R.

Leveraging LLMs for Mission Planning in Precision Agriculture Kumar and R

Reference 19

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raw_fallback, observed 2026-08-07T04:40:00.497566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:39:56.240476Z digest=sha256:0ff341cd16952eb4518a64f605c60be1c33c38b2c13769632b34f569806588d2

Observation b6832007-e731-40be-80af-d2f1e712a8b8 · outbound

This paper cites an unresolved cited work.

Leveraging LLMs for Mission Planning in Precision Agriculture Unresolved cited work

Reference 20

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raw_fallback, observed 2026-08-07T04:40:00.194929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:39:56.349703Z digest=sha256:f3b7af8bff3e3506ce321d19c9137cddc65ef3c5984018045c70991b14453f01

Observation a306e444-2225-4f7d-95b8-f464ff06e94f · outbound

This paper cites Liang, W.

Leveraging LLMs for Mission Planning in Precision Agriculture Liang, W

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:59.957504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:39:56.465791Z digest=sha256:a03e26342055871782639c2cd1f2a9b68fa107d2e5cce78b34dfb0b5a705eefd

Observation 3a56a163-d371-4d9b-8331-6ee3ee8af9e6 · outbound

This paper cites Toward Automated Programming for Robotic Assembly Using ChatGPT.

Leveraging LLMs for Mission Planning in Precision Agriculture Toward Automated Programming for Robotic Assembly Using ChatGPT

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:39:57.970210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:39:56.609168Z digest=sha256:d3a6e0caa34a378090a72eb012b0e1026e211dbf037a95f3aecc6658461103a0

Observation 4c916cff-3470-48a4-8549-4be6964dadd3 · outbound

This paper cites ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning.

Leveraging LLMs for Mission Planning in Precision Agriculture ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning

Reference 23

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no resolver link, observed 2026-08-07T04:39:56.755906Z

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source=pdf_text observed=2026-08-07T04:39:56.755906Z digest=sha256:6cd432f1f587c3448ff83cba2255c43819c1a98c3406a98871c1e606552aa13c

Observation ef91ca83-1a1e-4da3-b75e-ce54aaa13ad1 · outbound

This paper cites Plaku and S.

Leveraging LLMs for Mission Planning in Precision Agriculture Plaku and S

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-07T04:39:59.664903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:39:56.886431Z digest=sha256:d8dacb25c6fae17d53a37c3e1ccabceb3bbf31f0d0562db865e705a856569d46

Observation f064a75f-e556-402e-951c-d7d39cee7999 · outbound

This paper cites an unresolved cited work.

Leveraging LLMs for Mission Planning in Precision Agriculture Unresolved cited work

Reference 25

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raw_fallback, observed 2026-08-07T04:39:59.444532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 387171ab-6dda-4a42-8a97-55eb1b053c6b · outbound

This paper cites an unresolved cited work.

Leveraging LLMs for Mission Planning in Precision Agriculture Unresolved cited work

Reference 26

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raw_fallback, observed 2026-08-07T04:39:59.190195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:39:57.132604Z digest=sha256:39848cf2da4032a3c6e79c99ac9de65ee8403c6d3dfaac5488be1699b47bbb39

Observation 5b81db5a-e386-4ecc-bc66-cd936a596584 · outbound

This paper cites Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models.

Leveraging LLMs for Mission Planning in Precision Agriculture Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models

Reference 27

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no resolver link, observed 2026-08-07T04:39:57.245110Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:39:57.245110Z digest=sha256:35b712877190db0d19f98906543a69617debd26ce35b0515e7fbe71fe58b27f6

Observation e7306d26-d0a3-4f79-ba7c-c3599d02ea22 · outbound

This paper cites Thayer and S.

Leveraging LLMs for Mission Planning in Precision Agriculture Thayer and S

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:39:58.918775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:39:57.346983Z digest=sha256:083231a96ed53c00353fe69e609f1d0c6e66584a57717ef5d400df52f1c4eaea

Observation 87b4ab95-3c11-4eab-91b2-7fa6c2adcd97 · outbound

This paper cites Varakantham and A.

Leveraging LLMs for Mission Planning in Precision Agriculture Varakantham and A

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-07T04:39:58.692930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:39:57.431112Z digest=sha256:0a5c9805568d1e5645d7b11c7f8069cef72455ac48c493bf41332f2c1ff4948f

Observation f31ab612-0ac2-414f-863b-65f6c9285606 · outbound

This paper cites DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model.

Leveraging LLMs for Mission Planning in Precision Agriculture DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T04:39:57.567663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:39:57.567663Z digest=sha256:9eec2a07935345bff71a9e8b1df3427077836a8972cc62e19b9cc9d7b781e4ec

Observation 74f1e83f-d40f-49d9-876e-77389ddd639a · outbound

This paper cites Solving Stochastic Orienteering Problems with Chance Constraints Using a GNN Powered Monte Carlo Tree Search.

Leveraging LLMs for Mission Planning in Precision Agriculture Solving Stochastic Orienteering Problems with Chance Constraints Using a GNN Powered Monte Carlo Tree Search

Reference 31

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no resolver link, observed 2026-08-07T04:39:57.676289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:39:57.676289Z digest=sha256:557e4d5a35cd91dba9b2cd2cefc12b914f08aad3c8bf7fd0f5c2fe49c8cf2a64

Pith citing papers

Observation 76169e75-a52f-4051-b122-b74b82b074e5 · inbound

Visual-Language-Guided Task Planning for Horticultural Robots cites this paper.

Visual-Language-Guided Task Planning for Horticultural Robots Leveraging LLMs for Mission Planning in Precision Agriculture

Reference 24

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no resolver link, observed 2026-08-03T09:58:54.663523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:58:54.663523Z digest=sha256:46dd0c73e0cef821a77875047edac9b88f43d69d04e12a642c393968c3ff1878