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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T04:32:05.138744Z digest=sha256:4050c6eefcbbbeda5704878ffed2f1d0da5360cd53f75cd20cbfb1ff6f4d1208

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=sha256:9e1bf8bf5e3771b0ef964559115e999a706fdbc8cb76043025c3d62ebeb2090c

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=sha256:4f7abb582cf4f65a9f3600ef864ca9befe957f4d8c2bcb856690be16bab34e1f

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:f37d4fbd227723134cb4e81429dd426e26e43cb68a42a20e9637d06ffcc8eaae

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T02:50:09.218313Z digest=sha256:2f47a93ac6f4c32bfbd80fac672fa0bbaa56a7934a9dc04b6d43fdef9c04d559

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T21:07:45.896824Z digest=sha256:1b9739db822940c86d7e6682f7ba67fa221d69ff2038eebd57985bb90cef2bf1

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:b3ffe64885edc5e314fc1456ec35d72523141016f581ebcdbc2fe4c12d95ba14

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T06:09:22.431356Z digest=sha256:fe968a1b9af9ac10dcd97bb3bac956fe0e316a51e09edb012f576b8086cc5b47

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T05:13:47.438677Z digest=sha256:bff84ca8387062b6bcee8e0146e25b519260b9bc58eb9242f18062bbcbe72036

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:dec211039d4a073d102af2e1bf097cdc40e470c91538a34e12be75d65ea82b6b