Paper Citation Record · LEDGER

Using Large Language Models for Hyperparameter Optimization

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2312.04528.

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

pith.paper-citation-record.v1
2312.04528 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:32:22.116084Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:40:00.768398Z

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 694ab944-28d8-43ea-8d05-20d2fc348644 · inbound

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models cites this paper.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Using Large Language Models for Hyperparameter Optimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:32:22.116084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b942b27-7cdf-4dee-aee7-966fa6f2d3fa · inbound

Language-Guided Tuning: Enhancing Numeric Optimization with Textual Feedback cites this paper.

Language-Guided Tuning: Enhancing Numeric Optimization with Textual Feedback Using Large Language Models for Hyperparameter Optimization

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T17:44:46.263509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3f3a3b6-4dba-492b-b373-376225b9d644 · inbound

A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search cites this paper.

A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search Using Large Language Models for Hyperparameter Optimization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T09:45:45.557307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6ad5055-8cb8-40a9-a280-6dccc7a9172b · inbound

The Problem of Dynamic Spatial Sampling and Geofence Surveillance cites this paper.

The Problem of Dynamic Spatial Sampling and Geofence Surveillance Using Large Language Models for Hyperparameter Optimization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T16:01:44.895474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa72fac5-b02d-4a50-a2b5-1abf95bb3aaf · inbound

LLM-Guided ANN Index Optimization for Human-Object Interaction Retrieval cites this paper.

LLM-Guided ANN Index Optimization for Human-Object Interaction Retrieval Using Large Language Models for Hyperparameter Optimization

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:16:48.200258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 60f4cde2-ebec-45d5-bc78-eb06b3f50bc9 · inbound

GRIMIP: A General Framework for Instance-Specific Configuration of MIP Solvers Using LLMs cites this paper.

GRIMIP: A General Framework for Instance-Specific Configuration of MIP Solvers Using LLMs Using Large Language Models for Hyperparameter Optimization

Reference 69

Resolution: malformed identifier; arxiv_id, observed 2026-07-04T10:09:45.024814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e60a1ead-1c9b-4e56-888c-215c204082b3 · inbound

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning cites this paper.

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning Using Large Language Models for Hyperparameter Optimization

Reference 137

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:48:39.818730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 45658f1c-b710-46e0-b606-aed331ac6c36 · inbound

ASAP: Agent-System Co-Design for Wall-Clock-Centered Auto HPO Research for ML Experiments cites this paper.

ASAP: Agent-System Co-Design for Wall-Clock-Centered Auto HPO Research for ML Experiments Using Large Language Models for Hyperparameter Optimization

Reference 33

Resolution: malformed identifier; arxiv_id, observed 2026-07-04T17:40:00.769784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1210f4d4-031b-4b0b-8303-9fefd16ef784 · inbound

AI Training Manager: Bounded Closed-Loop Control of Adaptive Training Recipes cites this paper.

AI Training Manager: Bounded Closed-Loop Control of Adaptive Training Recipes Using Large Language Models for Hyperparameter Optimization

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T06:54:21.233884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cf2084e1-41fd-4344-910e-1dda105c6ec8 · inbound

Which Optimizer, At What Budget? A Tournament of Optimizers for Search-Based SE cites this paper.

Which Optimizer, At What Budget? A Tournament of Optimizers for Search-Based SE Using Large Language Models for Hyperparameter Optimization

Reference 91

Resolution: unresolved; no resolver link, observed 2026-07-14T03:44:36.121772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3192582f-d84d-4609-9fff-06d6d01b81a5 · inbound

AgentHPOBench: A Benchmark For Evaluating LLM Agents as Sequential Hyperparameter Optimizers cites this paper.

AgentHPOBench: A Benchmark For Evaluating LLM Agents as Sequential Hyperparameter Optimizers Using Large Language Models for Hyperparameter Optimization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T03:15:14.201835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f939a2c-2443-4b39-a2d6-84a8bb699981 · inbound

Agentic Bayesian Optimization through Surrogate-Augmented Autoresearch cites this paper.

Agentic Bayesian Optimization through Surrogate-Augmented Autoresearch Using Large Language Models for Hyperparameter Optimization

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-04T00:51:36.243757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.