Paper Citation Record · LEDGER

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering

As of 19 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2607.28568.

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

pith.paper-citation-record.v1
2607.28568 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T03:31:22.224264Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:11:05.412479Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T00:11:05.986601Z

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy0
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cfc018e9-a6b4-43a4-bbca-323afeb0281f · outbound

This paper cites Usage: Used to determine whether any step in the segment violates hard constraints (such as forbidden internet downloads, forbidden environment modifications, etc.).

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering Usage: Used to determine whether any step in the segment violates hard constraints (such as forbidden internet downloads, forbidden environment modifications, etc.)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-31T03:31:21.397217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 268e1322-f195-4689-a1e6-5ee0813435bb · outbound

This paper cites Usage: Used to understand the task objective and assist in determining whether the Draft step builds a reasonable framework aligned with the task.

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering Usage: Used to understand the task objective and assist in determining whether the Draft step builds a reasonable framework aligned with the task

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-31T03:31:21.518569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b89e19f5-50db-41db-805d-68816f288962 · outbound

This paper cites Usage: Provides a reference baseline for Improve and crossover (which has two parent codes) steps, used to evaluate the substantive nature of modifications.

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering Usage: Provides a reference baseline for Improve and crossover (which has two parent codes) steps, used to evaluate the substantive nature of modifications

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-31T03:31:21.622643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fa124de-2b6c-4aab-9247-9d8ec32da2b3 · outbound

This paper cites core problem solved.

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering core problem solved

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-31T03:31:21.717627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82f363a3-fb4f-4fe9-9b89-9a94488b1c8f · outbound

This paper cites The first element of this array is the root step (operator is Draft, Improve, or Crossover), and all subsequent elements are continuous Debug steps.

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering The first element of this array is the root step (operator is Draft, Improve, or Crossover), and all subsequent elements are continuous Debug steps

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-31T03:31:21.779013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0a2d7cd-4948-4003-a11b-3003a3d9f57e · outbound

This paper cites Goal” vs “Method.

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering Goal” vs “Method

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-31T03:31:21.835064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e9cc2ef-3783-49e6-bc70-3dddec2d32ff · outbound

This paper cites Necessary Intermediate States.

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering Necessary Intermediate States

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-31T03:31:21.852435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d08d7f07-3b18-47e8-b87c-b01adf3c3178 · outbound

This paper cites Strategy Contribution.

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering Strategy Contribution

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-31T03:31:21.914608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6425fe25-f631-43fa-8fb5-922204020836 · outbound

This paper cites an unresolved cited work.

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-31T03:31:21.951867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7be87c14-9cdd-426e-a4cf-bf2e1b33a7f1 · outbound

This paper cites Be specific and evidence-based.

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering Be specific and evidence-based

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-31T03:31:22.078370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80e501a0-d41e-410e-86d8-591760be8d1d · outbound

This paper cites an unresolved cited work.

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-31T03:31:22.161948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 268bf026-9bb5-41b5-9c6c-550a4d68309f · outbound

This paper cites method_overview.

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering method_overview

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-31T03:31:22.224264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e294bd39-cd7a-4ec8-b399-db27afb1a928 · inbound

Scaling Automatic Research Agents via World Models cites this paper.

Scaling Automatic Research Agents via World Models Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-16T00:11:05.992329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.