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Paper Citation Record · LEDGER

DART-LLM: Dependency-Aware Multi-Robot Task Decomposition and Execution using Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2411.09022.

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

pith.paper-citation-record.v1
2411.09022 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:30.075020Z

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

1
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 93783198-09cd-4d5b-b739-ebfed4a1ce05 · inbound

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

Large Language Models for Multi-Robot Systems: A Survey DART-LLM: Dependency-Aware Multi-Robot Task Decomposition and Execution using Large Language Models

Reference 120

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:32:32.408734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T04:32:05.138744Z digest=sha256:e63a3a1abbcd7851fa955a932c4609f621ec4367c6ef551d2d1c1f05796709ac

Observation ef7ffe5d-29ee-4cb9-a457-ac9f10257f54 · inbound

Get Experience from Practice: LLM Agents with Record & Replay cites this paper.

Get Experience from Practice: LLM Agents with Record & Replay DART-LLM: Dependency-Aware Multi-Robot Task Decomposition and Execution using Large Language Models

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-07T14:44:30.075020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:44:30.075020Z digest=sha256:8b62e1f2c1364057e0a6e0c72b5f919fd386e5a0f574f56ea6bedcb6d396b712

Observation 8d7cd908-982a-4ee0-8f5d-4a02c0af8af1 · inbound

Dynamic Task Adaptation for Multi-Robot Manufacturing Systems with Large Language Models cites this paper.

Dynamic Task Adaptation for Multi-Robot Manufacturing Systems with Large Language Models DART-LLM: Dependency-Aware Multi-Robot Task Decomposition and Execution using Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:50.467260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:02:50.467260Z digest=sha256:666019434ed4d4d1608248b0b73924d6d53587b89d691376411cfcc63ea9f694

Observation 9886ee4d-fa18-49c1-9e11-a4e3f217a53e · inbound

LLM-Based Generalizable Hierarchical Task Planning and Execution for Heterogeneous Robot Teams with Event-Driven Replanning cites this paper.

LLM-Based Generalizable Hierarchical Task Planning and Execution for Heterogeneous Robot Teams with Event-Driven Replanning DART-LLM: Dependency-Aware Multi-Robot Task Decomposition and Execution using Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T19:50:36.263227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:50:36.263227Z digest=sha256:8aed3de33168361c35db59a2907e3956d0c3394a9a136a5e809688a305c59351

Observation c404071a-a263-4859-a443-1c4cb8200860 · inbound

CADENZA: Compiling Natural-Language Intent into Task-Specific Operator DAGs for Semantic Query Processing cites this paper.

CADENZA: Compiling Natural-Language Intent into Task-Specific Operator DAGs for Semantic Query Processing DART-LLM: Dependency-Aware Multi-Robot Task Decomposition and Execution using Large Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-06-30T02:54:10.194694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T02:50:09.218313Z digest=sha256:2cf9a793372ed2cdc398a13bf8024f5d2c6a3e2292da25ca2b6ac87daea07536

Observation 1fa2e7d5-e642-440e-8688-753159498a35 · inbound

CADENZA: Compiling Natural-Language Intent into Task-Specific Operator DAGs for Semantic Query Processing cites this paper.

CADENZA: Compiling Natural-Language Intent into Task-Specific Operator DAGs for Semantic Query Processing DART-LLM: Dependency-Aware Multi-Robot Task Decomposition and Execution using Large Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:17:24.243448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-02T21:07:45.896824Z digest=sha256:51a305fc7f27452f5224c3f1f5caeaa8f94efc14ebcf419ea55cb1b15c57d953

Observation 6a13aff5-779d-4118-9c16-4de4587ed48b · inbound

CADENZA: Compiling Natural-Language Intent into Task-Specific Operator DAGs for Semantic Query Processing cites this paper.

CADENZA: Compiling Natural-Language Intent into Task-Specific Operator DAGs for Semantic Query Processing DART-LLM: Dependency-Aware Multi-Robot Task Decomposition and Execution using Large Language Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-07-14T17:07:50.913479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T17:07:50.913479Z digest=sha256:b7c90265215320af422a447444c8762ba1b8253bba6c2ea25f0459662dabb21e

Observation c638af20-7011-4163-b938-73909d4dd694 · 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 DART-LLM: Dependency-Aware Multi-Robot Task Decomposition and Execution using Large Language Models

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:15:26.628008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T06:09:22.431356Z digest=sha256:1ac30b76c5778d0c79296cc7866aeb4527a3b2512731ec31a89e2019e368dd1b

Observation 7e8be095-31d4-4096-9d29-94fe0f2d23e2 · inbound

Verification-Gated Agentic Mission-State Governance for Intelligent Industrial Multi-Robot Systems cites this paper.

Verification-Gated Agentic Mission-State Governance for Intelligent Industrial Multi-Robot Systems DART-LLM: Dependency-Aware Multi-Robot Task Decomposition and Execution using Large Language Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-01T05:15:24.110617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T05:13:47.438677Z digest=sha256:0fb1f926ded56122c4f5e86f356a018b116a6b8dfd5cbdc576f00c9ea64222f4

Observation ed1e299b-873a-4b3c-a13a-109a0d72754c · inbound

AIGB-R1: Self-Evolving Generative Auto-Bidding via Hierarchical Planner-Executor Optimization cites this paper.

AIGB-R1: Self-Evolving Generative Auto-Bidding via Hierarchical Planner-Executor Optimization DART-LLM: Dependency-Aware Multi-Robot Task Decomposition and Execution using Large Language Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-01T18:32:47.872103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:32:47.872103Z digest=sha256:97ccb37f85593d8798f8bcfe3d592c11b40138146408d8f0bd9ab874f027c188