Paper Citation Record · LEDGER

Sequential Large Language Model-Based Hyper-parameter Optimization

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2410.20302.

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

pith.paper-citation-record.v1
2410.20302 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:34:30.165996Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4fa99b72-46c4-40e6-9c45-cfd3468a4971 · inbound

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows cites this paper.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Sequential Large Language Model-Based Hyper-parameter Optimization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T23:34:30.165996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f65c991-430c-426b-aed0-870f9fa3f298 · inbound

Cooperative Design Optimization through Natural Language Interaction cites this paper.

Cooperative Design Optimization through Natural Language Interaction Sequential Large Language Model-Based Hyper-parameter Optimization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T17:36:35.092079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31c896e1-c2a7-4325-a955-85ca33f8eddd · inbound

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial cites this paper.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Sequential Large Language Model-Based Hyper-parameter Optimization

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:08:20.197448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0dc78ba2-8ac4-4958-bcf8-4ab0ca74ada0 · inbound

AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration - Learning from Cheap, Optimizing Expensive cites this paper.

AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration - Learning from Cheap, Optimizing Expensive Sequential Large Language Model-Based Hyper-parameter Optimization

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:17:01.991583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 008ac84d-c605-4055-b0dd-1e8f6a3357e0 · inbound

AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration - Learning from Cheap, Optimizing Expensive cites this paper.

AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration - Learning from Cheap, Optimizing Expensive Sequential Large Language Model-Based Hyper-parameter Optimization

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:39:10.193412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d8e84807-990c-4d40-9bc2-9ec6e7c7889a · 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 Sequential Large Language Model-Based Hyper-parameter Optimization

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:19:37.918504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d01cb219-e2ec-4b7c-b9df-528eea700791 · 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.

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:53:56.128532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 508b6ae9-042c-4645-b19c-f2b233e792d3 · 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 Sequential Large Language Model-Based Hyper-parameter Optimization

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:09:45.035580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation df4c4bd4-f785-480b-a208-1bfca1f81279 · 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 Sequential Large Language Model-Based Hyper-parameter Optimization

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:54:21.217925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fb384162-319e-46d5-ba5a-76e3deda0b21 · 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 Sequential Large Language Model-Based Hyper-parameter Optimization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T03:15:14.213821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65b921b3-490d-41e0-8289-92840a3ecf9b · inbound

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

Agentic Bayesian Optimization through Surrogate-Augmented Autoresearch Sequential Large Language Model-Based Hyper-parameter Optimization

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T00:51:33.966984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.