Pith. sign in

Paper Citation Record · LEDGER

Large Language Model Agent for Hyper-Parameter Optimization

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 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 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:48:57.073370Z

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 09a2d1e6-f952-40d3-a5f7-1eb9aab197de · inbound

Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback cites this paper.

Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback Large Language Model Agent for Hyper-Parameter Optimization

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T21:48:57.073370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:48:57.073370Z digest=sha256:239142b6fe2924d8294b1f54a5b1400edb98ba85af1e3809ff5629953aede951

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=sha256:8c0031da977765ee1bed16e5d6a3cb6dca4c7cfe63b88cd9b5d1f237087de057

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=sha256:0141b31e297d63b0fcfbb0d8be3dcfe44e2ad7070e9a283dab252d648defcbee

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T11:23:29.010807Z digest=sha256:715a2418dfb9f3b23cf563176a745eb32047694bed7efd81406cdcfffe4d5294

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:ba4a7dd95f964480965742d7eb3e5b62e34daaee53de24dcfc0e36bda3667c78

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=sha256:6508bde781f9f0c9cbbf28e60dc9610edb799b75ec0abe7994cf9f0124a320c8

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=sha256:62f0a926cf0f033b26167a9ba1ceb4031d62197da0e521d140ea8946864cca06

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=sha256:65f9995f656a6f763bc09851df4dc5adfc53435c3598e0e96c4b0f531af43903

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T01:11:35.172004Z digest=sha256:0042c4886219eddb8ba9f142c572de3c5a5c56b089bdd1c11ca2b2c761dff6b3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T21:26:07.054880Z digest=sha256:9e82c1621e0747981ec9740dd8cbd3515b1443210a9f0888da17078b6c7d19a7

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-07T16:55:58.829624Z digest=sha256:092e6c78f1b936cb91e619c46aaae8ccc2d8ffca8b49e3117a91eaa364594df5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T18:27:02.838489Z digest=sha256:27a53dde1c6cca2fa80361d1ff9f635f832d24fdb17eff92add1371ece1a6870

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-20T05:42:17.570893Z digest=sha256:abf1e316b807380d47df6f8b1ebfe97a29f9c7b5127c7d71c8a51d81af0f602f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T07:59:51.128422Z digest=sha256:527d4909d329717a8077c9e3bb2d462560555ad6ec115882be793881ac559c12

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-28T06:11:02.929426Z digest=sha256:6569b92780df7202b0c163bee487d7810264b1ac56798639b7aa739babf9ff75

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-26T17:29:59.914576Z digest=sha256:67c194338131c2c6f9257a489dac1be5075620dd5f297b5707b71d7aaf394c7f

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-26T14:38:52.451377Z digest=sha256:4d31b37c53f6952c9ae6fea1712ec82ebae05d6d9af46400b283c243fa5f91e0

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-29T04:37:37.944091Z digest=sha256:9673ec90c2daef1477db959735f41df5466a686343a389889c206b8fe71b6a33

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-25T23:29:48.926268Z digest=sha256:307b0f640ab194729c968998a435cdbf21403d681a452e7290117707abfcf0a4

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=sha256:443015d5619172b883ec4d996f597215b55e1ffee633f687af296bafe45199d0

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=sha256:14f73ffada601e67d7c5b083a512b6ea9d3dcc81362d66bb03230ffc6aae1f51

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=sha256:3e36134a998c494a927f7dc77d1bff94ead4305508a4961a9ac9f17a7533dc3f