Pith. sign in

Paper Citation Record · LEDGER

Large Language Model Agent for Hyper-Parameter Optimization

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 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 21 of 21 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 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:22:04.543607Z

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 9b9d0956-025f-4e3b-b7be-4396cb1e8f1e · inbound

OptiMindTune: A Multi-Agent Framework for Intelligent Hyperparameter Optimization cites this paper.

OptiMindTune: A Multi-Agent Framework for Intelligent Hyperparameter Optimization Large Language Model Agent for Hyper-Parameter Optimization

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T14:22:04.543607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:22:04.543607Z digest=sha256:f28ec4baf5fedf915b471f3eac315efd941ad8d61ec5d9b44e8a0a95a280e4b3

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=sha256:3177122cd4747928ff60403ca74ee2b2597e394b1d0c12d7105a8f06ea70738a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T11:23:29.010807Z digest=sha256:936da865b6e7c1aa6c92e1f9febcf01ad3d82033c19a6c5636ae70074409e6b3

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=sha256:9843edb8f302882b3a7fed8ad733ef297eb7c58072740884bc7d10e026ec1735

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=sha256:8cccd84ad1cb2c3c2a93c459e2e086782602c5f193f3d8f60608f2ec3966223c

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=sha256:3ebc65a1fe65bd66cd514db33fa15c8b7ce311f013453dc32fa73267f8409a66

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T01:11:35.172004Z digest=sha256:2fd3861bb773cf0ccc26f0521b4bbb40e4bdf9b1e4732cfc69378dfdef463c49

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T21:26:07.054880Z digest=sha256:a4518e643e24238a1ab83d821eb67a1f9f507c93cb4e0a4e8a0637eaa16e3488

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T16:55:58.829624Z digest=sha256:44e626ba730fc49915f6e6d05c6d92255a791bdf4e965fd6e38848cd969360c4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T18:27:02.838489Z digest=sha256:8b0b74a4116a6382b2ae02a2fc2aadea43153793b09688fe8fd769111b47aef1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T05:42:17.570893Z digest=sha256:ea18c07331ed889a8749838555760ceb1f0cedd56e69817c2bf07f1c146b05d6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:59:51.128422Z digest=sha256:3a2c292016f88e6b157fc60964979c2f86a2188e92bc98739b032616fc6cb6fb

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T06:11:02.929426Z digest=sha256:eee504383719af15fefd12c228f19e5f911d7958d6a86be9f965a8a6f43eaa43

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T17:29:59.914576Z digest=sha256:1b8734b93528741461cdcb59af4feb5af8f098f3bb03afcd21bc9665792822c7

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T14:38:52.451377Z digest=sha256:0e0b5c3d5e7c62d50112182082befac7dc407b654b7655397ec1c6377c96a6a0

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-29T04:37:37.944091Z digest=sha256:27b931f503bdbc76987ee14dfd44e66aef0bc4bfdb98d2a9a0b7c1130a30c395

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-25T23:29:48.926268Z digest=sha256:321c80eadccb0ef3a50c2cdd47a19a02a94bf2e423856f414bb3f0cf005120c8

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:d5933b7435af35f18d662ac970ffebe265f2cc6669a854790b337ac00fa96666

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:bb4d1e39b5446cee504c404573a0a50995addef9bb1d00f2b01cf09cdfb20c5b