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Paper Citation Record · LEDGER

SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2309.10062.

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

pith.paper-citation-record.v1
2309.10062 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:47:16.382147Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

11
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 41d65c6e-a45a-408d-82e7-6d06c75e5064 · inbound

Large Language Models for Multi-Robot Systems: A Survey cites this paper.

Large Language Models for Multi-Robot Systems: A Survey SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:32:32.126494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T04:32:05.138744Z digest=sha256:d005d53f1f1990db369132b67bb1c82ad1e784ca2a81339c2eff730bc6603855

Observation c03abbf0-569e-43d6-9979-0f6f732a5624 · inbound

Integrating Quantized LLMs into Robotics Systems as Edge AI to Leverage their Natural Language Processing Capabilities cites this paper.

Integrating Quantized LLMs into Robotics Systems as Edge AI to Leverage their Natural Language Processing Capabilities SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T04:47:16.382147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:47:16.382147Z digest=sha256:0b7e2a95766a1072daa4bbd1eab04d20d8555bffd4e2ecc76fd4d38f1e860d86

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

Leveraging LLMs for Mission Planning in Precision Agriculture cites this paper.

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:d70e40a08824b7e70c8f8ec8e1e32a2e73c39eabd655b7ed505e1c97aea3a305

Observation 962ea649-a5db-4027-a78d-e3a3b2b310f8 · inbound

One For All: LLM-based Heterogeneous Mission Planning in Precision Agriculture cites this paper.

One For All: LLM-based Heterogeneous Mission Planning in Precision Agriculture SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T04:38:03.988142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:38:03.988142Z digest=sha256:27c19b6f9b163f0833ead8817871bcf231b45d22ebd43f5b887cba5b609326aa

Observation 279e404d-7594-4fdf-a419-4572b4769dbf · inbound

LLM-Grounded Dynamic Task Planning with Hierarchical Temporal Logic for Human-Aware Multi-Robot Handover cites this paper.

LLM-Grounded Dynamic Task Planning with Hierarchical Temporal Logic for Human-Aware Multi-Robot Handover SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T02:57:44.374752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:57:44.374752Z digest=sha256:ad54911a8aa5731c12164449ef692a673262caf4926a2dac852c1705b58e3e4b

Observation 1dcbc042-e470-488f-b298-3486f7db48b2 · inbound

Thought-Retriever: Don't Just Retrieve Raw Data, Retrieve Thoughts for Memory-Augmented Agentic Systems cites this paper.

Thought-Retriever: Don't Just Retrieve Raw Data, Retrieve Thoughts for Memory-Augmented Agentic Systems SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:41:00.134580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:32:46.796648Z digest=sha256:9ee14b5df7d70aab502379fd1340e3e4c564e65c71c41d2a8c8dc9d40316f5f7

Observation 85c58766-6a57-4462-9fc6-b5f7b1f55aa3 · inbound

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning cites this paper.

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-06-30T22:15:05.968383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-30T22:11:35.277901Z digest=sha256:6e499d852cb52c9d1f73f8c038ee69f7ef05152552a77f5619bd63b5546eaa25

Observation 1e017e3c-d807-4e85-8ce5-920cff719b18 · inbound

To Select or not to Select, that is the Question: Distilling Robot Skill Prediction into a Small Ensemble cites this paper.

To Select or not to Select, that is the Question: Distilling Robot Skill Prediction into a Small Ensemble SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-21T03:59:33.028896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T03:55:56.146381Z digest=sha256:29c15713ab16462196bfd6d10adad63444152b5600088a51822076f78d8bcfd0

Observation faf4842f-86a5-44e4-94be-c46a000339c8 · inbound

PerceptTwin: Semantic Scene Reconstruction for Iterative LLM Planning and Verification cites this paper.

PerceptTwin: Semantic Scene Reconstruction for Iterative LLM Planning and Verification SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:56:34.757699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T09:34:34.220944Z digest=sha256:5df4f07b61ae8c4dd80262d19eae3d1734a5d0f738a693360c61d329034334e4

Observation 14b6b490-8eb7-4dfc-8ad0-e3ebf5b90315 · inbound

Co-GLANCE: Uncertainty-Aware Active Perception for Heterogeneous Robot Teaming cites this paper.

Co-GLANCE: Uncertainty-Aware Active Perception for Heterogeneous Robot Teaming SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:47:25.491147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T18:41:42.100428Z digest=sha256:08cf6389c36719b8ff97de20c57a8c585d9afc196add53eb77002a719ff818fd

Observation 65c53f56-0b2f-447e-b721-b71414da893c · inbound

As You Wish: Mission Planning with Formal Verification using LLMs in Precision Agriculture cites this paper.

As You Wish: Mission Planning with Formal Verification using LLMs in Precision Agriculture SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:49:00.096474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T00:06:39.276132Z digest=sha256:10acd68aa2dfb3633d52e2163510e3e394c0335358117053cff830b8bca526e4

Observation 1dead4e1-916e-4f6a-9a54-08a57c96a4ca · inbound

MultiUAV-Plat: An LLM-Oriented Platform, Benchmark and Framework for Multi-UAV Collaborative Task Planning cites this paper.

MultiUAV-Plat: An LLM-Oriented Platform, Benchmark and Framework for Multi-UAV Collaborative Task Planning SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:15:26.614722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T06:09:22.431356Z digest=sha256:15fa9f75b18a5d22012401216e7f59e523155b81bf9e66e24d16f6b795407d80

Observation cc89e89b-83b8-4ecf-a7b0-bf6356c1886c · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models

Reference 115

Resolution
unresolved
no resolver link, observed 2026-08-04T19:45:34.812154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:45:34.812154Z digest=sha256:b4cdfb85f6c866819d4785291ab985c6a891953d9c302953c83da6d1962d9f52

Observation ef9a580b-38fd-451b-9ef1-6ea609fa3c0e · inbound

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models

Reference 250

Resolution
unresolved
no resolver link, observed 2026-08-05T15:25:40.506262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:25:40.506262Z digest=sha256:0c0dc4e49fd7a6e2fd721382af8c5ff743c75741c8c93ddadbc1b96612365836