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Paper Citation Record · LEDGER

Large Language Model Agent for Hyper-Parameter Optimization

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2402.01881.

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

pith.paper-citation-record.v1
2402.01881 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:32:22.119463Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:40:00.785097Z

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 14825a8e-91f7-4913-91a2-f943fc461368 · 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 Large Language Model Agent for Hyper-Parameter Optimization

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:22.119463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.119463Z digest=sha256:6080fd5d0f976f80dce12a46d1f608800181fa6dcd5197f7850103b1f8102e51

Observation 3f96133c-e389-4e20-b792-d6eb2c62d651 · inbound

ORFS-agent: Tool-Using Agents for Chip Design Optimization cites this paper.

ORFS-agent: Tool-Using Agents for Chip Design Optimization Large Language Model Agent for Hyper-Parameter Optimization

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:27:16.133628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T11:23:29.010807Z digest=sha256:a156eb6e428669d46642b424f133c4a990c7c646a5a0bf640cc1d5ca716a326b

Observation 8c8b45cd-c843-4394-b986-9c4ade0f5882 · inbound

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression cites this paper.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Large Language Model Agent for Hyper-Parameter Optimization

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T12:52:01.666699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:01.666699Z digest=sha256:e4137ebcdce0f6e006e55d67da9668b7d79de2e1877ff92ff4aa3fb5311c6c08

Observation f59c9e87-c56e-446c-ab10-a4a91451733a · inbound

Reinforcement Learning for Machine Learning Engineering Agents cites this paper.

Reinforcement Learning for Machine Learning Engineering Agents Large Language Model Agent for Hyper-Parameter Optimization

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T12:24:02.297408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:24:02.297408Z digest=sha256:6a6ff7e3b71ac6ce621177fc6ac8d7998143783ff4abc3a0d0852603d2d1dba1

Observation 657682a9-2678-4812-9b3b-c97d4261db91 · inbound

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning cites this paper.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Large Language Model Agent for Hyper-Parameter Optimization

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T22:38:09.690190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:38:09.690190Z digest=sha256:93c86e493c4563b585aee87287d05ed0cba24bd597e816fc7d3e809d531eff85

Observation 6ea99fdf-d75a-4269-95dd-27362cf263aa · inbound

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

A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search Large Language Model Agent for Hyper-Parameter Optimization

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-03T09:45:43.188356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:45:43.188356Z digest=sha256:0f583c2edc09d9de9a455994f1e1ed91434df253e2e148571b3a78d95d32701d

Observation 72e2e85d-67f4-403e-bf6d-366bd9a7586b · inbound

AgenticRecTune: Multi-Agent with Self-Evolving Skillhub for Recommendation System Optimization cites this paper.

AgenticRecTune: Multi-Agent with Self-Evolving Skillhub for Recommendation System Optimization Large Language Model Agent for Hyper-Parameter Optimization

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:41:10.273242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T01:11:35.172004Z digest=sha256:83ffb96d6798880320bc4eec3ff26a300e1290911ed0498425f4ffec27226433

Observation 61a30c29-8fd6-4d06-bcc8-b728482588f4 · inbound

AgenticRecTune: Multi-Agent with Self-Evolving Skillhub for Recommendation System Optimization cites this paper.

AgenticRecTune: Multi-Agent with Self-Evolving Skillhub for Recommendation System Optimization Large Language Model Agent for Hyper-Parameter Optimization

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:27:59.699194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:26:07.054880Z digest=sha256:cc7eda46b00202518830107c45bafba3deb6281366108269eafddda25f2516ff

Observation 9d17f819-563e-499b-a813-8bd7e3a38526 · inbound

From Code to Prediction: Fine-Tuning LLMs for Neural Network Performance Classification in NNGPT cites this paper.

From Code to Prediction: Fine-Tuning LLMs for Neural Network Performance Classification in NNGPT Large Language Model Agent for Hyper-Parameter Optimization

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-12T11:01:30.896935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T16:55:58.829624Z digest=sha256:864264b3a20bce70d485153e8e7e34f905a3a9b09a64e67384b6e6845e539e1c

Observation d0a926a9-d0d9-47d6-a981-657d8e8a50c0 · inbound

From Code to Prediction: Fine-Tuning LLMs for Neural Network Performance Classification in NNGPT cites this paper.

From Code to Prediction: Fine-Tuning LLMs for Neural Network Performance Classification in NNGPT Large Language Model Agent for Hyper-Parameter Optimization

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:25:47.485144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T18:27:02.838489Z digest=sha256:9112e7ad9eabc6fbbffbab4117cf37c0471a56dee58ad38053e344caab894580

Observation 407a8d97-23a9-4bc1-922a-89b4287d8436 · inbound

A novel YOLO26-MoE optimized by an LLM agent for insulator fault detection considering UAV images cites this paper.

A novel YOLO26-MoE optimized by an LLM agent for insulator fault detection considering UAV images Large Language Model Agent for Hyper-Parameter Optimization

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:43:05.411140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T05:42:17.570893Z digest=sha256:7e28c54b40d6ee9d4faebf059278dd30a948079eb792ac3bf26dc03db81373da

Observation a0d19172-e5f0-4501-b836-82afe70956f3 · inbound

Battery-Sim-Agent: Leveraging LLM-Agent for Inverse Battery Parameter Estimation cites this paper.

Battery-Sim-Agent: Leveraging LLM-Agent for Inverse Battery Parameter Estimation Large Language Model Agent for Hyper-Parameter Optimization

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:03:14.058906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T07:59:51.128422Z digest=sha256:4c6bd2c6b6f3ee71d3a37faf865aa70700661df490dcab2960a582348e0372ae

Observation d980ef2f-b61a-4bcf-af0c-47d71da34757 · inbound

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

LLM-Guided ANN Index Optimization for Human-Object Interaction Retrieval Large Language Model Agent for Hyper-Parameter Optimization

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:16:48.197736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T06:11:02.929426Z digest=sha256:412edd50131aa95e275a26d889ff72a3e0b07cdcee92a95e6e590e5352e4f542

Observation 05da3749-66da-4522-bfd7-f7a83d7274d9 · inbound

Agentic AutoResearch forSpace Autonomy: An Auditable, LLM-Driven Research Agent for Aerospace Control Problems cites this paper.

Agentic AutoResearch forSpace Autonomy: An Auditable, LLM-Driven Research Agent for Aerospace Control Problems Large Language Model Agent for Hyper-Parameter Optimization

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:59:32.683872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T17:29:59.914576Z digest=sha256:bc254dbc6266a5ae52d410d1ed72651e339f9e0cda32bc1a3926bfcf45b43035

Observation 43db3b64-97da-42f1-b46b-c0671524f084 · inbound

When Is an LLM Worth It for Hyperparameter Optimization? A Budget-Matched Study on Tabular Data Finds the Warm-Start Is a Default Configuration, Not the Model cites this paper.

When Is an LLM Worth It for Hyperparameter Optimization? A Budget-Matched Study on Tabular Data Finds the Warm-Start Is a Default Configuration, Not the Model Large Language Model Agent for Hyper-Parameter Optimization

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:19:37.915097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T14:38:52.451377Z digest=sha256:8ac7676a2d98f57ad42d749fee50f7b3aba59652eb124256ee968ce50243d526

Observation 12991a50-d0e5-483e-b1da-7211bdf57394 · inbound

When Is an LLM Worth It for Hyperparameter Optimization? A Budget-Matched Study on Tabular Data Finds the Warm-Start Is a Default Configuration, Not the Model cites this paper.

When Is an LLM Worth It for Hyperparameter Optimization? A Budget-Matched Study on Tabular Data Finds the Warm-Start Is a Default Configuration, Not the Model Large Language Model Agent for Hyper-Parameter Optimization

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:53:56.134590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-29T04:37:37.944091Z digest=sha256:a67c0cb9da3f38ecdd51b8d6551feb533ab39d3820f76cbf543c3c12aa732b3f

Observation 469ae86a-f3b8-4c4b-accf-d4d5b5d0aeca · 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 Large Language Model Agent for Hyper-Parameter Optimization

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:40:00.786724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-25T23:29:48.926268Z digest=sha256:62ed660bc81a42e3d7d15059f438bf930cafdf8e2652ab46c81c5a66a9910a41

Observation 9be7ca07-71d8-4e6b-977c-3ee85d794323 · inbound

Interactive Training 2: Auditable Control Plane for Live Model Training cites this paper.

Interactive Training 2: Auditable Control Plane for Live Model Training Large Language Model Agent for Hyper-Parameter Optimization

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-01T21:03:06.241068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:03:06.241068Z digest=sha256:d9e714251fcefe96548cadec43a0f87bffdaaa013aa90e195bf71e8409add91d

Observation e92abd29-e79a-4e75-9b7a-43e31b2aba2a · 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 Large Language Model Agent for Hyper-Parameter Optimization

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-31T01:39:47.851233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T01:39:47.851233Z digest=sha256:c10957ce1e04e93240293127a9e42490ef6166a56a23f1024fbacbf717c5201e

Observation 57a32705-3319-47f3-9aaa-5daebb562fac · inbound

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

Agentic Bayesian Optimization through Surrogate-Augmented Autoresearch Large Language Model Agent for Hyper-Parameter Optimization

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-04T00:51:33.419058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:51:33.419058Z digest=sha256:eaee4a5f99214c5e1a6668604622764239a6011d03e707c94eade907ff8f0a54