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Paper Citation Record · LEDGER

BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.07464.

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

pith.paper-citation-record.v1
2411.07464 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:16:58.303467Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:29:02.945019Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2d717dc8-34ff-4ff8-b3f2-4e7c772b99b4 · inbound

Efficient Agents: Building Effective Agents While Reducing Cost cites this paper.

Efficient Agents: Building Effective Agents While Reducing Cost BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T18:16:58.303467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:16:58.303467Z digest=sha256:bf8418e62d06ce17062c8adfb327065a8b492fc7a6200f4815706159e077aa6b

Observation 1b0bcea5-a5e4-4a8e-8e42-1452daf4e54c · inbound

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models cites this paper.

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-03T11:01:43.596374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:01:43.596374Z digest=sha256:2aafd7a0fea764a1af43743e9db775b280ba2efd36e66be7a68f39700b38de4b

Observation 752ac824-c44a-4220-9426-169036fc5778 · inbound

Toward Efficient Agents: Memory, Tool learning, and Planning cites this paper.

Toward Efficient Agents: Memory, Tool learning, and Planning BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-03T09:21:34.359341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:21:34.359341Z digest=sha256:fe40207a8d49ddbaf4af93bf67cac0b7cd3a50bb2170c5c6c45625e6ca028285

Observation b01e7281-07b8-499a-b7c3-86e71d275e93 · inbound

Trustworthy Self-Composable Big-Data-as-a-Service: An LLM-Orchestrated Multi-Agent Framework for Automated Data Engineering, AutoML, MLOps Deployment, and Drift-Aware Lifecycle Optimization cites this paper.

Trustworthy Self-Composable Big-Data-as-a-Service: An LLM-Orchestrated Multi-Agent Framework for Automated Data Engineering, AutoML, MLOps Deployment, and Drift-Aware Lifecycle Optimization BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:29:02.946869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T22:07:45.909694Z digest=sha256:ed03d8f083e8548175a5945c34a689287e78ed4706661a9f337a7fbfbf324ce9

Observation 7cfebd6f-9cfb-4664-b257-799da2a48039 · 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 BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks

Reference 187

Resolution
unresolved
no resolver link, observed 2026-08-05T15:25:40.152070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:25:40.152070Z digest=sha256:fb5c2bf38f94775a93ea246ae887710b510f0884716940ab9f4c5951786e6d29