Paper Citation Record · LEDGER

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2505.13941.

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

pith.paper-citation-record.v1
2505.13941 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:15:42.041812Z

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

0
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 94944e49-271f-4d95-bf27-d11cf462d1ab · inbound

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI cites this paper.

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:42.041812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f36a565-35f1-4b2c-b83a-fe0cb8a87127 · inbound

Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data cites this paper.

Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:05:41.521862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 06f2b93d-0937-4a4a-9412-a55b5b24f158 · inbound

iML: Executable, Problem-Grounded, and Broadly Exploratory Code-Driven AutoML cites this paper.

iML: Executable, Problem-Grounded, and Broadly Exploratory Code-Driven AutoML MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T23:25:33.044396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1b0146c-41ba-4ffc-b07d-83e9b14762c0 · inbound

AgentGA: Evolving Code Solutions in Agent-Seed Space cites this paper.

AgentGA: Evolving Code Solutions in Agent-Seed Space MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:00:20.982828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 22a3c8af-78ee-444e-8090-c5c254a97dbb · inbound

AgentGA: Evolving Code Solutions in Agent-Seed Space cites this paper.

AgentGA: Evolving Code Solutions in Agent-Seed Space MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:16:20.182473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6ba83882-6130-451b-956a-4dc2a37f937f · inbound

DataMaster: Data-Centric Autonomous AI Research cites this paper.

DataMaster: Data-Centric Autonomous AI Research MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:36:24.883075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 52f84ab3-13bb-4f94-b5b6-1412e86e0e70 · inbound

DataMaster: Data-Centric Autonomous AI Research cites this paper.

DataMaster: Data-Centric Autonomous AI Research MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:12:59.165683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 68d9ebc9-c333-422f-9276-5f7102ba9f2e · inbound

MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery cites this paper.

MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:46:59.838227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9043af6a-881e-4ff4-b319-2427ec7f6644 · inbound

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering cites this paper.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-31T01:39:46.815411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.