Pith. sign in

Paper Citation Record · LEDGER

Leveraging LLMs for Mission Planning in Precision Agriculture

As of 16 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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:54.282306Z digest=sha256:aa5169ca2e8ed1c4b33ef0fe390281a3dccbe2dc9007ce32f16e876e3b559313

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:54.368212Z digest=sha256:c70d964bb407802a88d2bfae21ef62f43560a04c185d9447e3ae8408342093e9

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
unresolved
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:fbb1420419fe5d3da8cd78f99ae01fba7345cec25de3c33d15a903c9152f4960

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:54.576171Z digest=sha256:c721bb1634d015a1483e5e4d2cb06a8f9028bf4f1a6a1cfed7da02da9044ef11

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:54.653971Z digest=sha256:0869e1dcadb5a66a91df59a00f33cc5bf4f60ce0f98936a527bb92b03047a09b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:54.743127Z digest=sha256:71c86f910bdc3fa510cc6ee5b262860f9360dfa2f1393de5ef6de8ae14345cee

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:54.870546Z digest=sha256:a7c6ed975078b42b946245720179f5fab8f4651063108b17baa5cd152434fc9e

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:40:01.603606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:54.955115Z digest=sha256:fc39161bc24d2db7574d74426d8dafdbbd38f913d7a1179ff556742c55659cfb

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:55.068080Z digest=sha256:735211dd57393d0b4e189de454c10c3bd05a307a3844c8c062073bced51e90ed

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

Resolution
unresolved
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=sha256:2c0e33de6c9b94035fedeb740256fce3326fa9824bde610d48425a4d739c41e9

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
verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:55.285773Z digest=sha256:616a49e38c5bdcf42cb94198ffb3da1a6b74d4034f07badfe0ff09d224523235

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

Resolution
unresolved
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=sha256:6eb2bb4ca7355b46efa24fe6e85d1a7644697fb7d5289b90af3aeff69170c8d0

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:39:55.562906Z digest=sha256:6bc73f1844e14ea13e53767dd27ab4841004be51a2e96b6bbb44805a2bdb14da

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

This paper cites Janßen, C.

Leveraging LLMs for Mission Planning in Precision Agriculture Janßen, C

Reference 14

Resolution
unresolved
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:f0ff51978553215223c7c4eaba23b05dcd325f69740f316b66a793aa139cc73b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:55.816371Z digest=sha256:56c594a551e68029dd494ecb566d4bc71f550892fd878011a499f98aa7887038

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

Resolution
unresolved
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=sha256:0aa897b21aad9d065695752fa2e2f0abb3fd197b40353f086cb3596efb9f075a

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

Resolution
unresolved
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:e4ff77990807f31cc86b1c54f7a7b3853657188eb6649e8e128b661d047e11e0

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:39:56.175573Z digest=sha256:a85738151f9f7e68f1654674b1ee8128fc58f044e4f73cc71099781db50d78d5

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

Resolution
verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:56.240476Z digest=sha256:e820e6b9d71b84430de50927daf18256761cae3b142e6d7ead8e7f1290ec742a

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

Resolution
unresolved
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:56.349703Z digest=sha256:357f6366ac38b90cf7e0daa65523ddc22179612110c6a3cd03e3a9ff8688a88d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:56.465791Z digest=sha256:9dd4dec16ff6b6d683ec68c1cda7bb553373a5e7e9bc8077d89b36741d198df8

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:56.609168Z digest=sha256:b9cec225d4efdb595962dcca0cc4c036fbfa41e6f0e085a4ff1f3186b62e79d9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:39:56.755906Z digest=sha256:cffe4f7c999b5b7d7e09cce8e0239e3951510ca211504912b119e633e56ce313

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:56.886431Z digest=sha256:ff0e50e11412673c9baccca3598a1d6d6882efcb392ada4da5d4cd9fa3c77007

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

Resolution
unresolved
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:57.009761Z digest=sha256:0c78d82e7bf41e2028ceb75765c904bbe044e14bacfae00e3dcf425a5c4b2df2

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

Resolution
unresolved
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:57.132604Z digest=sha256:8c5bdb2d7ea86f6b25c3d95220ddf84969c34ebbd518b264dd08bc3e5a9682e7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:39:57.245110Z digest=sha256:b2e1a73331974543224a05fca84f97b11821af86ce8f04bd58bc4b4e17ea4a74

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:57.346983Z digest=sha256:d43e364d46dd813d994ffd008858df94863c1dca87a002953a51933ece4659fe

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:39:57.431112Z digest=sha256:8d560d8ac4d5c149417a998694a25995ec3674327e6c0c311488c3d33b3dd9f8

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:c427086020c116f6dd15e6d4acbcc7d5fcb2c8c484d5a39f8206da4778777a1a

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

Resolution
unresolved
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=sha256:0cbb2fb73295f1bb65b4cfbcf0ea824df6ac2407801658d31dfa53b3a1c87708

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

Resolution
unresolved
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=sha256:7d9425a5d57a2447ea84b980dc7c759049a6be12b135b9008b9da4ee7262ebba