Paper Citation Record · LEDGER

FunL2O: LLM-Guided Feature Function Design for Learning to Optimize

As of 8 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2607.27389.

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

pith.paper-citation-record.v1
2607.27389 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:19:21.040100Z

measured 12 of 12 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy0
unresolved11
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d085b85d-e156-4628-873f-8d07cb166f36 · outbound

This paper cites Table 11: Simplex-oriented host results, averaged over three independent, seed-paired repetitions.

FunL2O: LLM-Guided Feature Function Design for Learning to Optimize Table 11: Simplex-oriented host results, averaged over three independent, seed-paired repetitions

Reference 1

Resolution: malformed identifier; no resolver link, observed 2026-08-01T08:19:21.040100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff80655f-07de-4c17-9b0b-c2df770e7a7f · outbound

This paper cites Domain-Aware Machine Learning for Accelerating MILP-Based Motion Planning with Temporal Logic and Chance Constraints.

FunL2O: LLM-Guided Feature Function Design for Learning to Optimize Domain-Aware Machine Learning for Accelerating MILP-Based Motion Planning with Temporal Logic and Chance Constraints

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T08:19:20.308277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87da2600-03e3-4c8f-9f5a-42b2140032ce · outbound

This paper cites InForty-first International Conference on Machine Learning.

FunL2O: LLM-Guided Feature Function Design for Learning to Optimize InForty-first International Conference on Machine Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T08:19:20.599332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b12320a-a88f-44ca-8bb8-c682cb66f6fc · outbound

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

FunL2O: LLM-Guided Feature Function Design for Learning to Optimize AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T08:19:20.791111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55e08ec9-198b-45a3-8d2b-c61907b0248c · outbound

This paper cites Sun,J.;Zhang,L.;Chen,G.;Xu,P.;Zhang,K.;andYang,Y.

FunL2O: LLM-Guided Feature Function Design for Learning to Optimize Sun,J.;Zhang,L.;Chen,G.;Xu,P.;Zhang,K.;andYang,Y

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T08:19:20.890592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5465cc0-2d50-45f3-b013-bad375208658 · outbound

This paper cites anthropic.com/news/claude-opus-4-8.

FunL2O: LLM-Guided Feature Function Design for Learning to Optimize anthropic.com/news/claude-opus-4-8

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T08:19:20.147565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dd5b8d3-a212-4bd4-b15b-e1921e98222a · outbound

This paper cites Gemini3.1Pro.

FunL2O: LLM-Guided Feature Function Design for Learning to Optimize Gemini3.1Pro

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T08:19:20.470938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bfd7d54-760a-4b7c-837f-f3577d33526e · outbound

This paper cites Version, 12(1987-2018):.

FunL2O: LLM-Guided Feature Function Design for Learning to Optimize Version, 12(1987-2018):

Reference 1987

Resolution: unresolved; no resolver link, observed 2026-08-01T08:19:20.680711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 735e0c8c-32b2-4f41-84a4-0417af0f821e · outbound

This paper cites Chen,T.;Zhang,W.;Jingyang,Z.;Chang,S.;Liu,S.;Amini, L.;andWang,Z.2020.

FunL2O: LLM-Guided Feature Function Design for Learning to Optimize Chen,T.;Zhang,W.;Jingyang,Z.;Chang,S.;Liu,S.;Amini, L.;andWang,Z.2020

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-01T08:19:20.375188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07e70c77-9a1f-44dc-9a8f-0db102a4bdab · outbound

This paper cites M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation.

FunL2O: LLM-Guided Feature Function Design for Learning to Optimize M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-01T08:19:20.989431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf98b73f-7bf8-4e5f-ad25-b5b4daf27153 · outbound

This paper cites InECAI 2024, 2418–2425.

FunL2O: LLM-Guided Feature Function Design for Learning to Optimize InECAI 2024, 2418–2425

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T08:19:20.212537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68e48dd4-46d0-48fc-894b-0319a8384b65 · outbound

This paper cites LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers.

FunL2O: LLM-Guided Feature Function Design for Learning to Optimize LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T08:19:20.053963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.