Paper Citation Record · LEDGER

AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.06411.

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

pith.paper-citation-record.v1
2404.06411 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T20:11:50.722787Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T20:13:58.831517Z

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 1ad5e1cc-4025-4189-834a-920f3b668c5c · inbound

MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering cites this paper.

MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:13:21.517261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 59328938-7cca-42cf-9dbe-815a015015de · inbound

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems cites this paper.

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:52:16.435588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c571ecb9-e8e1-4c25-aee7-055d9eaa395d · inbound

Latent Action Reparameterization for Efficient Agent Inference cites this paper.

Latent Action Reparameterization for Efficient Agent Inference AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:48:12.949593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e89e0d70-0a17-4f7f-bf31-566562d13eff · inbound

Agentic AI Workload Characteristics cites this paper.

Agentic AI Workload Characteristics AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:13:58.832980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.